diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..d079320fc0089792fda7151a5caa51a08cb62721 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +trackio/assets/badge.png filter=lfs diff=lfs merge=lfs -text +trackio/assets/trackio_logo_old.png filter=lfs diff=lfs merge=lfs -text diff --git a/trackio/CHANGELOG.md b/trackio/CHANGELOG.md new file mode 100644 index 0000000000000000000000000000000000000000..d5b8617a2f3f59cd1bd37dc711805e306ebc13dc --- /dev/null +++ b/trackio/CHANGELOG.md @@ -0,0 +1,400 @@ +# trackio + +## 0.31.4 + +### Features + +- [#628](https://github.com/gradio-app/trackio/pull/628) [`3eeaa99`](https://github.com/gradio-app/trackio/commit/3eeaa99bd05bef69053b9a1b5c7af3abf56c360c) - let `logbook cell figure` embed image files directly. Thanks @abidlabs!/n `trackio logbook cell figure` now accepts an image path via a new `--image`/n flag, and `--html ` transparently embeds the file when it points at an/n image. Previously the only way to add a PNG/JPG figure was to hand-encode it/n into an `` data-URI, and passing an image path to `--html` crashed with a/n `UnicodeDecodeError` (the binary file was read as UTF-8 text). Images are/n embedded as responsive base64 data URIs. The Python API `add_figure_cell` gains/n a matching `image=` parameter. + +## 0.31.3 + +### Features + +- [#626](https://github.com/gradio-app/trackio/pull/626) [`174aecf`](https://github.com/gradio-app/trackio/commit/174aecff33e6d1cc8d71965a73538c0510abed46) - Fix logbook Markdown escaping and figure hotspot navigation. Thanks @abidlabs! + +## 0.31.2 + +### Features + +- [#624](https://github.com/gradio-app/trackio/pull/624) [`a0918ed`](https://github.com/gradio-app/trackio/commit/a0918edc7594bb211f9e6871546b9d36939f0658) - Fix poster hotspot navigation after iframe load. Thanks @abidlabs! + +## 0.31.1 + +### Features + +- [#621](https://github.com/gradio-app/trackio/pull/621) [`a40f1a4`](https://github.com/gradio-app/trackio/commit/a40f1a464c51652ecdeab04d999659d71b76047e) - add native fullscreen mode for logbook figures. Thanks @abidlabs! +- [#623](https://github.com/gradio-app/trackio/pull/623) [`31fd4d7`](https://github.com/gradio-app/trackio/commit/31fd4d7b4004f0c511484f089e6a550da1b4d71e) - let interactive logbook figures navigate to logbook pages. Thanks @abidlabs! + +## 0.31.0 + +### Features + +- [#601](https://github.com/gradio-app/trackio/pull/601) [`8c49140`](https://github.com/gradio-app/trackio/commit/8c491406c54685369d43f3a9c4d4a0e99108bc49) - browse artifacts from the UI. Thanks @Saba9! +- [#602](https://github.com/gradio-app/trackio/pull/602) [`1ae1558`](https://github.com/gradio-app/trackio/commit/1ae155803b5450b181a47767255421499074c70b) - feat: add Artifact.add_reference to reference external objects without copy. Thanks @adrien-grl! + +## 0.30.4 + +### Features + +- [#618](https://github.com/gradio-app/trackio/pull/618) [`64c18f6`](https://github.com/gradio-app/trackio/commit/64c18f65bf98d6f54040395a1ca0473347ba6a2b) - Logbook: share button on figures + `logbook pin` CLI. Thanks @abidlabs! + +## 0.30.3 + +### Features + +- [#616](https://github.com/gradio-app/trackio/pull/616) [`645498b`](https://github.com/gradio-app/trackio/commit/645498be37bafab28f884a36e80c5bc0eab06cd9) - Logbook single page. Thanks @abidlabs! + +## 0.30.2 + +### Features + +- [#614](https://github.com/gradio-app/trackio/pull/614) [`eba80c7`](https://github.com/gradio-app/trackio/commit/eba80c7464af250519a90b8ac3179ff6652b651a) - Render logbooks as single-page documents with section navigation and contextual resources. Thanks @abidlabs! +- [#612](https://github.com/gradio-app/trackio/pull/612) [`2c1b943`](https://github.com/gradio-app/trackio/commit/2c1b9436b093e9f9335c99c10fe4b6afa622e314) - Warn that logbook open is experimental. Thanks @abidlabs! +- [#611](https://github.com/gradio-app/trackio/pull/611) [`96b1d94`](https://github.com/gradio-app/trackio/commit/96b1d94def7596aa1302864cbfc57942dd63822b) - Logbook: auto-capture output artifacts and live-embedded dashboard cells. Thanks @abidlabs! + +## 0.30.1 + +### Features + +- [#609](https://github.com/gradio-app/trackio/pull/609) [`2ed1295`](https://github.com/gradio-app/trackio/commit/2ed12959c73aa9c04ca1096cf7a8315ce2886ed1) - Serve live logbook preview from open. Thanks @abidlabs! + +## 0.30.0 + +### Features + +- [#603](https://github.com/gradio-app/trackio/pull/603) [`a793fd8`](https://github.com/gradio-app/trackio/commit/a793fd88827482134bce295c6228e117de64566a) - Move default artifact downloads under `./.trackio/artifact-downloads/` so materialized files stay out of the project root. Thanks @abidlabs! +- [#604](https://github.com/gradio-app/trackio/pull/604) [`dd3b8ee`](https://github.com/gradio-app/trackio/commit/dd3b8eeef4e0da8bf0df6238617e20ae81f3e564) - docs: clarify artifact types. Thanks @abidlabs! +- [#586](https://github.com/gradio-app/trackio/pull/586) [`7db4c3b`](https://github.com/gradio-app/trackio/commit/7db4c3b6de6ff4903daf7dabed8842f212c8b7fd) - artifact tracking API — `log_artifact`, `use_artifact`, and an `Artifact` class for versioned, named file collections with aliases, content-addressed deduplication, and producer/consumer run lineage; works offline and syncs blobs to Hugging Face Spaces/Datasets. Thanks @Saba9! +- [#597](https://github.com/gradio-app/trackio/pull/597) [`5ba561e`](https://github.com/gradio-app/trackio/commit/5ba561e1b4023abdf63624f4fb396367ed6e9e76) - Add experiment logbooks: shareable static-Space lab notebooks. Thanks @abidlabs! + +## 0.29.0 + +### Features + +- [#593](https://github.com/gradio-app/trackio/pull/593) [`ca4722c`](https://github.com/gradio-app/trackio/commit/ca4722c19d2219a3a78b5977149873b9dff73f34) - Add CLI command to list Trackio Spaces. Thanks @abidlabs! + +## 0.28.1 + +### Features + +- [#589](https://github.com/gradio-app/trackio/pull/589) [`5e9905d`](https://github.com/gradio-app/trackio/commit/5e9905d7815bb063f2d9bb38aa76177405c5e2b4) - Reduce Metrics page log payloads by requesting scalar-only metrics and add URL x-axis initialization/fallback handling. Thanks @evalstate! +- [#590](https://github.com/gradio-app/trackio/pull/590) [`56493a6`](https://github.com/gradio-app/trackio/commit/56493a6e9a0114b8655ab44b8c3dec7bae2a5df5) - Use TRACKIO_WRITE_TOKEN for server write token. Thanks @abidlabs! + +## 0.28.0 + +### Features + +- [#582](https://github.com/gradio-app/trackio/pull/582) [`d9dabb5`](https://github.com/gradio-app/trackio/commit/d9dabb5bda8147ad7c9203646358bd0880fa6521) - Add JSONL inbox fragments: durable logging when the Space is unreachable and on network filesystems. Thanks @abidlabs! + +## 0.27.0 + +### Features + +- [#567](https://github.com/gradio-app/trackio/pull/567) [`8c0ce21`](https://github.com/gradio-app/trackio/commit/8c0ce21ff9746d7c6a250684b1b5f0f3f04e0520) - Add CPU, RAM, disk, network and sensor metrics monitoring for non-Apple devices. Thanks @yannsadowski! +- [#571](https://github.com/gradio-app/trackio/pull/571) [`57bc7df`](https://github.com/gradio-app/trackio/commit/57bc7df27ecd7b3ff543dbd2bff5c94182bfb69e) - Fix IndexError when importing CSV with no numeric metric columns. Thanks @Ckal! +- [#577](https://github.com/gradio-app/trackio/pull/577) [`db0e730`](https://github.com/gradio-app/trackio/commit/db0e730463103142688c1c0efef9ff68a52e281d) - Sort and paginate media items. Thanks @abidlabs! +- [#576](https://github.com/gradio-app/trackio/pull/576) [`6f635e2`](https://github.com/gradio-app/trackio/commit/6f635e22553ce2deaece6a0d6289475ab8683040) - Render plot/metric titles as searchable DOM text. Thanks @abidlabs! +- [#579](https://github.com/gradio-app/trackio/pull/579) [`cf7759e`](https://github.com/gradio-app/trackio/commit/cf7759efaab73ce1e98a8a2355dc1f65d54bc775) - Merge image viewer with current media page, credit to @catwell. Thanks @abidlabs! + +## 0.26.0 + +### Features + +- [#553](https://github.com/gradio-app/trackio/pull/553) [`06011ac`](https://github.com/gradio-app/trackio/commit/06011acc9c73341fd234f9cd8eaf96d5a34ad8ce) - fix: serve static-Space assets at /static/trackio. Thanks @abidlabs! +- [#563](https://github.com/gradio-app/trackio/pull/563) [`551569c`](https://github.com/gradio-app/trackio/commit/551569c16fb56ec63249ebdc28348d326ccf7126) - Fix Traces UI a bit. Thanks @abidlabs! +- [#550](https://github.com/gradio-app/trackio/pull/550) [`5690acd`](https://github.com/gradio-app/trackio/commit/5690acda5da303c63ad332451afeab3e9750fd1a) - fix: keep sparse metrics sparse through smoothing. Thanks @abidlabs! +- [#551](https://github.com/gradio-app/trackio/pull/551) [`0ef7266`](https://github.com/gradio-app/trackio/commit/0ef72660695cf932f3906ddbf33d41d087280a22) - add "group by" dropdown to sidebar. Thanks @Saba9! +- [#538](https://github.com/gradio-app/trackio/pull/538) [`a15c1a8`](https://github.com/gradio-app/trackio/commit/a15c1a8877c07514e0596630bb7c7299299994a9) - Subdue empty dashboard tabs. Thanks @abidlabs! +- [#559](https://github.com/gradio-app/trackio/pull/559) [`0b53a41`](https://github.com/gradio-app/trackio/commit/0b53a413909598f92138b6b6395a91c2d5034faf) - Store traces separately from metrics. Thanks @abidlabs! +- [#556](https://github.com/gradio-app/trackio/pull/556) [`d110001`](https://github.com/gradio-app/trackio/commit/d110001dbd9f6b262dfe41f2b702e3a71aa0cfc9) - fix: keep selected x-axis option in dropdown and dismiss dropdown on re-click. Thanks @Saba9! +- [#560](https://github.com/gradio-app/trackio/pull/560) [`aee2923`](https://github.com/gradio-app/trackio/commit/aee2923d3ada4f74d62d065c16f1f6a56a295e48) - Paginate Traces tab with step filter. Thanks @abidlabs! + +### Fixes + +- [#540](https://github.com/gradio-app/trackio/pull/540) [`0b674ac`](https://github.com/gradio-app/trackio/commit/0b674ac6438738de89bc5b3fb700ccfd8a39368c) - raise default metrics sampling cap from 1500 to 3000 so client-side smoothing on the Metrics tab runs over higher-resolution data. Thanks @edbeeching! + +## 0.25.1 + +### Features + +- [#535](https://github.com/gradio-app/trackio/pull/535) [`d7f1b27`](https://github.com/gradio-app/trackio/commit/d7f1b27a98f185d2d97ef54975d5865e0b5243c9) - Avoid HF token leaks in static snapshots. Thanks @abidlabs! + +## 0.25.0 + +### Features + +- [#533](https://github.com/gradio-app/trackio/pull/533) [`08bc5eb`](https://github.com/gradio-app/trackio/commit/08bc5eb090525d3ff5f7fa4233c30c42162aa74c) - Fix Windows-only emoji mojibake when uploading Space README. Thanks @tomaarsen! +- [#518](https://github.com/gradio-app/trackio/pull/518) [`e7ed176`](https://github.com/gradio-app/trackio/commit/e7ed176da53d8b49290fddd890b3d18c0b9b958f) - Traces in Trackio. Thanks @abidlabs! +- [#531](https://github.com/gradio-app/trackio/pull/531) [`27a50a3`](https://github.com/gradio-app/trackio/commit/27a50a37362020304b774344b4c774ff548985b6) - Add configurable custom frontends for Trackio. Thanks @abidlabs! + +## 0.24.2 + +### Features + +- [#527](https://github.com/gradio-app/trackio/pull/527) [`7d1c0b9`](https://github.com/gradio-app/trackio/commit/7d1c0b9c37ce9a9845e6bbe6c083da9d36084caf) - Fix dashboard UX issues: smoothing in share URL, run selection, and run filtering. Thanks @abidlabs! +- [#526](https://github.com/gradio-app/trackio/pull/526) [`643878a`](https://github.com/gradio-app/trackio/commit/643878a82985fab9e6675f769ff0107cb46e042a) - Add emoji to README and deploy README content. Thanks @qgallouedec! +- [#529](https://github.com/gradio-app/trackio/pull/529) [`a77972b`](https://github.com/gradio-app/trackio/commit/a77972b68541ebe9e056824e69c9bbca3979ece4) - Remove pydub dependency. Thanks @abidlabs! + +## 0.24.1 + +### Features + +- [#524](https://github.com/gradio-app/trackio/pull/524) [`65a6897`](https://github.com/gradio-app/trackio/commit/65a6897561b465fc8f05550562f8da1ba3c99060) - Fix `trackio skills add`. Thanks @abidlabs! +- [#522](https://github.com/gradio-app/trackio/pull/522) [`05aaca7`](https://github.com/gradio-app/trackio/commit/05aaca7f166bf7667b60b40656d677532a4bdd6e) - relax `starlette` dependency and fix import style. Thanks @abidlabs! +- [#525](https://github.com/gradio-app/trackio/pull/525) [`32c05c5`](https://github.com/gradio-app/trackio/commit/32c05c5d5e3aa84ca7099a6fa08a9093ccd4b95f) - Restore sidebar share and embed snippets, and fix query parameter regression. Thanks @abidlabs! + +## 0.24.0 + +### Features + +- [#502](https://github.com/gradio-app/trackio/pull/502) [`3b397df`](https://github.com/gradio-app/trackio/commit/3b397dfbaff9de137b088f3cad528117e14faab1) - Add docs on SQL & Parquet schema / format, as well as a new CLI command: `trackio query project --project PROJECT --sql SQL_QUERY`. Thanks @abidlabs! +- [#506](https://github.com/gradio-app/trackio/pull/506) [`498bbc4`](https://github.com/gradio-app/trackio/commit/498bbc47f66cc90cc5776f363d001a5571941c00) - Scope bucket sync to trackio/ subtree to avoid walking the HF cache. Thanks @abidlabs! +- [#505](https://github.com/gradio-app/trackio/pull/505) [`8e26ab9`](https://github.com/gradio-app/trackio/commit/8e26ab93b5d9caa2f81334f6fff42fb9cefbb232) - Add an `id` field to `Run` which is used internally, allowing users to have multiple runs with the same run name. Thanks @abidlabs! +- [#517](https://github.com/gradio-app/trackio/pull/517) [`29e1034`](https://github.com/gradio-app/trackio/commit/29e1034b795567ec5ed6d19c5a946915a6498e2a) - Fix static exports, Space bucket handling, and other misc issues. Thanks @abidlabs! +- [#489](https://github.com/gradio-app/trackio/pull/489) [`1b96db3`](https://github.com/gradio-app/trackio/commit/1b96db39c8fd4326e621ee2336b0fca4f263a18a) - Remove `gradio` dependency in `trackio` -- only `gradio_client` is needed locally anymore. Also lazily import `pandas` and remove it as a dependency. Thanks @abidlabs! +- [#513](https://github.com/gradio-app/trackio/pull/513) [`d54d290`](https://github.com/gradio-app/trackio/commit/d54d290fcb1bb08358b558a43a962f78abe990ea) - Reduce HF Spaces 429s: polling tuning and batched metric logs API. Thanks @abidlabs! +- [#516](https://github.com/gradio-app/trackio/pull/516) [`afe2959`](https://github.com/gradio-app/trackio/commit/afe295988928a3ea3ded38bdb5bb05cca85d3c74) - Fix run list order and legend overflow. Thanks @abidlabs! +- [#515](https://github.com/gradio-app/trackio/pull/515) [`0a242b8`](https://github.com/gradio-app/trackio/commit/0a242b85127b02f532b24c7fd2bb046580cc7641) - Add Gradio-compatible /gradio_api routes on Spaces. Thanks @abidlabs! +- [#510](https://github.com/gradio-app/trackio/pull/510) [`60bbc86`](https://github.com/gradio-app/trackio/commit/60bbc86b4e7f880de72075e5bf31b093709bb5a4) - Add server_url and TRACKIO_SERVER_URL for self-hosted servers; space_id and TRACKIO_SPACE_ID take precedence when both are set. Thanks @abidlabs! +- [#509](https://github.com/gradio-app/trackio/pull/509) [`21c099a`](https://github.com/gradio-app/trackio/commit/21c099aa830a278973fab4c7c58a0139f417caa4) - Fix: Open browser with write_token so trackio show allows mutations. Thanks @abidlabs! + +## 0.23.0 + +### Features + +- [#494](https://github.com/gradio-app/trackio/pull/494) [`e8a897d`](https://github.com/gradio-app/trackio/commit/e8a897d2266d9b2558f72d768b0b21f4d0a8781b) - Add a settings/CLI page to Trackio. Thanks @abidlabs! +- [#481](https://github.com/gradio-app/trackio/pull/481) [`882647e`](https://github.com/gradio-app/trackio/commit/882647ec1599cf04500d03b5ca75ddc2733682e2) - Add multi-GPU system metrics support. Thanks @Saba9! +- [#485](https://github.com/gradio-app/trackio/pull/485) [`46a3cc3`](https://github.com/gradio-app/trackio/commit/46a3cc3758719e171417612efee102a487e71ebd) - Fix/remove flaky E2E space tests. Thanks @abidlabs! +- [#501](https://github.com/gradio-app/trackio/pull/501) [`06ea885`](https://github.com/gradio-app/trackio/commit/06ea8852f5e40ab3f1cf629a0a01af5c17f847a1) - Fix SQLite corruption on bucket-mounted Spaces. Thanks @abidlabs! +- [#496](https://github.com/gradio-app/trackio/pull/496) [`af23d74`](https://github.com/gradio-app/trackio/commit/af23d74438b146c4a3512ace15ea984656e943ed) - Prevent trackio errors from crashing the user's training loop. Thanks @abidlabs! + +## 0.22.0 + +### Features + +- [#484](https://github.com/gradio-app/trackio/pull/484) [`cc05ada`](https://github.com/gradio-app/trackio/commit/cc05ada8e89773f3a894af99b801ef680f64418f) - Fix duplicate columns in parquet export. Thanks @abidlabs! +- [#487](https://github.com/gradio-app/trackio/pull/487) [`853f764`](https://github.com/gradio-app/trackio/commit/853f7646a70d12633afaa4f69db86425aa665413) - Relax `PIL` dependency and remove `plotly` as it's no longer used. Thanks @abidlabs! + +## 0.21.2 + +### Features + +- [#482](https://github.com/gradio-app/trackio/pull/482) [`f62180a`](https://github.com/gradio-app/trackio/commit/f62180a0218bc99a259d5ca110a0384a6cae11c8) - Use server-side bucket copy when freezing Spaces. Thanks @abidlabs! + +## 0.21.1 + +### Features + +- [#475](https://github.com/gradio-app/trackio/pull/475) [`fcb476c`](https://github.com/gradio-app/trackio/commit/fcb476cd37a40923e9679aaf966f41d582a878a8) - Tweaks. Thanks @abidlabs! +- [#477](https://github.com/gradio-app/trackio/pull/477) [`7d52dfd`](https://github.com/gradio-app/trackio/commit/7d52dfdce5b6eff6a34501a6d5a620220663cf09) - Fix `.sync()` and add `.freeze()` as a separate methods. Thanks @abidlabs! + +## 0.21.0 + +### Features + +- [#467](https://github.com/gradio-app/trackio/pull/467) [`f357deb`](https://github.com/gradio-app/trackio/commit/f357debf78957e4c1f2b901bee4f77cf397298b4) - Allow logged metrics as x-axis choices. Thanks @abidlabs! +- [#474](https://github.com/gradio-app/trackio/pull/474) [`655673d`](https://github.com/gradio-app/trackio/commit/655673d4c6b7c8b7ee8f87f2589f2dbbc3d2ef91) - Fix file descriptor leak from `sqlite3.connect`. Thanks @abidlabs! +- [#470](https://github.com/gradio-app/trackio/pull/470) [`bea8c9d`](https://github.com/gradio-app/trackio/commit/bea8c9dcae0b59d071b6c779c97ee525c9bbf6e7) - Restores tooltips to line plots and fixes the call to uses TTL instead of OAuth. Thanks @abidlabs! +- [#471](https://github.com/gradio-app/trackio/pull/471) [`246fce0`](https://github.com/gradio-app/trackio/commit/246fce0a01619e1c2c538c67b3e460883334d500) - Deprecate dataset backend in favor of buckets. Thanks @abidlabs! +- [#465](https://github.com/gradio-app/trackio/pull/465) [`3e11174`](https://github.com/gradio-app/trackio/commit/3e1117438bb8168b802245a33059affa558ae519) - Use HF buckets as backend. Thanks @abidlabs! +- [#469](https://github.com/gradio-app/trackio/pull/469) [`915d170`](https://github.com/gradio-app/trackio/commit/915d17045133172b59195acfdcc70709229668aa) - Make static Spaces work with Buckets and also allow conversion from Gradio SDK to Static Spaces. Thanks @abidlabs! + +## 0.20.2 + +### Features + +- [#464](https://github.com/gradio-app/trackio/pull/464) [`c89ebb3`](https://github.com/gradio-app/trackio/commit/c89ebb3b50f695bc7f16cbc6f46dce86f79a01e9) - Improve rendering of curves. Thanks @abidlabs! +- [#462](https://github.com/gradio-app/trackio/pull/462) [`9160b78`](https://github.com/gradio-app/trackio/commit/9160b78ff6f258f0b87a4f34a24e7d0b5dfbf2fb) - Refactor plot title to display only the metric name without the path. Thanks @qgallouedec! + +## 0.20.1 + +### Features + +- [#454](https://github.com/gradio-app/trackio/pull/454) [`22881db`](https://github.com/gradio-app/trackio/commit/22881dbbbb6b81197a00a19853771007093d61e4) - Bar chart single point. Thanks @abidlabs! +- [#455](https://github.com/gradio-app/trackio/pull/455) [`f8db51a`](https://github.com/gradio-app/trackio/commit/f8db51a20ca61ef703f3f2c2ee1ebd9c4f239cf2) - Adds a static Trackio mode via `trackio.sync(sdk="static")` and support for the `TRACKIO_SPACE_ID` environment variable. Thanks @abidlabs! + +## 0.20.0 + +### Features + +- [#450](https://github.com/gradio-app/trackio/pull/450) [`b0571ef`](https://github.com/gradio-app/trackio/commit/b0571ef6207a1ce346696f858ad2b7b584dd194f) - Use Svelte source for Gradio components directly in Trackio dashboard. Thanks @abidlabs! + +## 0.19.0 + +### Features + +- [#445](https://github.com/gradio-app/trackio/pull/445) [`cef4a58`](https://github.com/gradio-app/trackio/commit/cef4a583cb76f4091fc6c0e5783124ee84f8e243) - Add remote HF Space support to CLI. Thanks @abidlabs! +- [#444](https://github.com/gradio-app/trackio/pull/444) [`358f2a9`](https://github.com/gradio-app/trackio/commit/358f2a9ca238ee8b90b5a8c96220da287e0698fb) - Fix alerts placeholder flashing on reports page. Thanks @abidlabs! + +## 0.18.0 + +### Features + +- [#435](https://github.com/gradio-app/trackio/pull/435) [`4a47112`](https://github.com/gradio-app/trackio/commit/4a471128e18a39e45fad48a67fd711c5ae9e4aed) - feat: allow hiding section header accordions. Thanks @Saba9! +- [#439](https://github.com/gradio-app/trackio/pull/439) [`18e9650`](https://github.com/gradio-app/trackio/commit/18e96503d5a3a7cf926e92782d457e23c19942bd) - Add alerts with webhooks, CLI, and documentation. Thanks @abidlabs! +- [#438](https://github.com/gradio-app/trackio/pull/438) [`0875ccd`](https://github.com/gradio-app/trackio/commit/0875ccd3d8a41b1376f64030f21cfe8cdcc73b05) - Add "share this view" functionality. Thanks @qgallouedec! +- [#409](https://github.com/gradio-app/trackio/pull/409) [`9282403`](https://github.com/gradio-app/trackio/commit/9282403d8896d48679b0f888208a7ba5bdd4271a) - Add Apple Silicon GPU and system monitoring support. Thanks @znation! +- [#434](https://github.com/gradio-app/trackio/pull/434) [`4193223`](https://github.com/gradio-app/trackio/commit/41932230a3a2e1c16405dba08ecba5a42f11d1a8) - fix: table slider crash. Thanks @Saba9! + +### Fixes + +- [#441](https://github.com/gradio-app/trackio/pull/441) [`3a2d11d`](https://github.com/gradio-app/trackio/commit/3a2d11dab0b4b37c925abc30ef84b0e2910321ee) - preserve x-axis step when toggling run checkboxes. Thanks @Saba9! + +## 0.17.0 + +### Features + +- [#428](https://github.com/gradio-app/trackio/pull/428) [`f7dd1ce`](https://github.com/gradio-app/trackio/commit/f7dd1ce2dc8a1936f9983467fcbcf93bfef01e09) - feat: add ability to rename runs. Thanks @Saba9! +- [#437](https://github.com/gradio-app/trackio/pull/437) [`2727c0b`](https://github.com/gradio-app/trackio/commit/2727c0b0755f48f7f186162ea45185c98f6b5516) - Add markdown reports across Trackio. Thanks @abidlabs! +- [#427](https://github.com/gradio-app/trackio/pull/427) [`5aeb9ed`](https://github.com/gradio-app/trackio/commit/5aeb9edcfd2068d309d9d64f172dcbcc327be1ab) - Make Trackio logging much more robust. Thanks @abidlabs! + +## 0.16.1 + +### Features + +- [#431](https://github.com/gradio-app/trackio/pull/431) [`c7ce55b`](https://github.com/gradio-app/trackio/commit/c7ce55b14dd5eb0c2165fb15df17dd60721c9325) - Lazy load the UI when trackio is imported. Thanks @abidlabs! + +## 0.16.0 + +### Features + +- [#426](https://github.com/gradio-app/trackio/pull/426) [`ead4dc8`](https://github.com/gradio-app/trackio/commit/ead4dc8e74ee2d8e47d61bca0a7668456acf49be) - Fix redundant double rendering of group checkboxes. Thanks @abidlabs! +- [#413](https://github.com/gradio-app/trackio/pull/413) [`39c4750`](https://github.com/gradio-app/trackio/commit/39c4750951d554ba6eb4d58847c6bb444b2891a8) - Check `dist-packages` when checking for source installation. Thanks @sergiopaniego! +- [#423](https://github.com/gradio-app/trackio/pull/423) [`2e52ab3`](https://github.com/gradio-app/trackio/commit/2e52ab303e3041718a6a56fbf84d0848aca9ad67) - Fix legend outline visibility issue. Thanks @Raghunath-Balaji! +- [#407](https://github.com/gradio-app/trackio/pull/407) [`c8a384d`](https://github.com/gradio-app/trackio/commit/c8a384ddfe5a295cecf862a26178d40e48acb424) - Fix pytests that were failling locally on MacOS. Thanks @abidlabs! +- [#405](https://github.com/gradio-app/trackio/pull/405) [`35aae4e`](https://github.com/gradio-app/trackio/commit/35aae4e3aa3e2b2888887528478b9dc6a9808bda) - Add conditional padding for HF Space dashboard when not in iframe. Thanks @znation! + +## 0.15.0 + +### Features + +- [#397](https://github.com/gradio-app/trackio/pull/397) [`6b38ad0`](https://github.com/gradio-app/trackio/commit/6b38ad02e5d73a0df49c4eede7e91331282ece04) - Adds `--host` cli option support. Thanks @abidlabs! +- [#396](https://github.com/gradio-app/trackio/pull/396) [`4a4d1ab`](https://github.com/gradio-app/trackio/commit/4a4d1ab85e63d923132a3fa7afa5d90e16431bec) - Fix run selection issue. Thanks @abidlabs! +- [#394](https://github.com/gradio-app/trackio/pull/394) [`c47a3a3`](https://github.com/gradio-app/trackio/commit/c47a3a31f8c4b83bce1aa7fc22eeba3d9021ad3d) - Add wandb-compatible API for trackio. Thanks @abidlabs! +- [#378](https://github.com/gradio-app/trackio/pull/378) [`b02046a`](https://github.com/gradio-app/trackio/commit/b02046a5b0dad7c9854e099a87f884afba4aecb2) - Add JSON export button for line plots and upgrade gradio dependency. Thanks @JamshedAli18! + +## 0.14.2 + +### Features + +- [#386](https://github.com/gradio-app/trackio/pull/386) [`f9452cd`](https://github.com/gradio-app/trackio/commit/f9452cdb8f0819368f3610f7ac0ed08957305275) - Fixing some issues related to deployed Trackio Spaces. Thanks @abidlabs! + +## 0.14.1 + +### Features + +- [#382](https://github.com/gradio-app/trackio/pull/382) [`44fe9bb`](https://github.com/gradio-app/trackio/commit/44fe9bb264fb2aafb0ec302ff15227c045819a2c) - Fix app file path when Trackio is not installed from source. Thanks @abidlabs! +- [#380](https://github.com/gradio-app/trackio/pull/380) [`c3f4cff`](https://github.com/gradio-app/trackio/commit/c3f4cff74bc5676e812773d8571454894fcdc7cc) - Add CLI commands for querying projects, runs, and metrics. Thanks @abidlabs! + +## 0.14.0 + +### Features + +- [#377](https://github.com/gradio-app/trackio/pull/377) [`5c5015b`](https://github.com/gradio-app/trackio/commit/5c5015b68c85c5de51111dad983f735c27b9a05f) - fixed wrapping issue in Runs table. Thanks @gaganchapa! +- [#374](https://github.com/gradio-app/trackio/pull/374) [`388e26b`](https://github.com/gradio-app/trackio/commit/388e26b9e9f24cd7ad203affe9b709be885b3d24) - Save Optimized Parquet files. Thanks @lhoestq! +- [#371](https://github.com/gradio-app/trackio/pull/371) [`fbace9c`](https://github.com/gradio-app/trackio/commit/fbace9cd7732c166f34d268f54b05bb06846cc5d) - Add GPU metrics logging. Thanks @kashif! +- [#367](https://github.com/gradio-app/trackio/pull/367) [`862840c`](https://github.com/gradio-app/trackio/commit/862840c13e30fc960cbee5b9eac4d3c25beba9de) - Add option to only show latest run, and fix the double logo issue. Thanks @abidlabs! + +## 0.13.1 + +### Features + +- [#369](https://github.com/gradio-app/trackio/pull/369) [`767e9fe`](https://github.com/gradio-app/trackio/commit/767e9fe095d7c6ed102016caf927c1517fb8618c) - tiny pr removing unnecessary code. Thanks @abidlabs! + +## 0.13.0 + +### Features + +- [#358](https://github.com/gradio-app/trackio/pull/358) [`073715d`](https://github.com/gradio-app/trackio/commit/073715d1caf8282f68890117f09c3ac301205312) - Improvements to `trackio.sync()`. Thanks @abidlabs! + +## 0.12.0 + +### Features + +- [#357](https://github.com/gradio-app/trackio/pull/357) [`02ba815`](https://github.com/gradio-app/trackio/commit/02ba815358060f1966052de051a5bdb09702920e) - Redesign media and tables to show up on separate page. Thanks @abidlabs! +- [#359](https://github.com/gradio-app/trackio/pull/359) [`08fe9c9`](https://github.com/gradio-app/trackio/commit/08fe9c9ddd7fe99ee811555fdfb62df9ab88e939) - docs: Improve docstrings. Thanks @qgallouedec! + +## 0.11.0 + +### Features + +- [#355](https://github.com/gradio-app/trackio/pull/355) [`ea51f49`](https://github.com/gradio-app/trackio/commit/ea51f4954922f21be76ef828700420fe9a912c4b) - Color code run checkboxes and match with plot lines. Thanks @abidlabs! +- [#353](https://github.com/gradio-app/trackio/pull/353) [`8abe691`](https://github.com/gradio-app/trackio/commit/8abe6919aeefe21fc7a23af814883efbb037c21f) - Remove show_api from demo.launch. Thanks @sergiopaniego! +- [#351](https://github.com/gradio-app/trackio/pull/351) [`8a8957e`](https://github.com/gradio-app/trackio/commit/8a8957e530dd7908d1fef7f2df030303f808101f) - Add `trackio.save()`. Thanks @abidlabs! + +## 0.10.0 + +### Features + +- [#305](https://github.com/gradio-app/trackio/pull/305) [`e64883a`](https://github.com/gradio-app/trackio/commit/e64883a51f7b8b93f7d48b8afe55acdb62238b71) - bump to gradio 6.0, make `trackio` compatible, and fix related issues. Thanks @abidlabs! + +## 0.9.1 + +### Features + +- [#344](https://github.com/gradio-app/trackio/pull/344) [`7e01024`](https://github.com/gradio-app/trackio/commit/7e010241d9a34794e0ce0dc19c1a6f0cf94ba856) - Avoid redundant calls to /whoami-v2. Thanks @Wauplin! + +## 0.9.0 + +### Features + +- [#343](https://github.com/gradio-app/trackio/pull/343) [`51bea30`](https://github.com/gradio-app/trackio/commit/51bea30f2877adff8e6497466d3a799400a0a049) - Sync offline projects to Hugging Face spaces. Thanks @candemircan! +- [#341](https://github.com/gradio-app/trackio/pull/341) [`4fd841f`](https://github.com/gradio-app/trackio/commit/4fd841fa190e15071b02f6fba7683ef4f393a654) - Adds a basic UI test to `trackio`. Thanks @abidlabs! +- [#339](https://github.com/gradio-app/trackio/pull/339) [`011d91b`](https://github.com/gradio-app/trackio/commit/011d91bb6ae266516fd250a349285670a8049d05) - Allow customzing the trackio color palette. Thanks @abidlabs! + +## 0.8.1 + +### Features + +- [#336](https://github.com/gradio-app/trackio/pull/336) [`5f9f51d`](https://github.com/gradio-app/trackio/commit/5f9f51dac8677f240d7c42c3e3b2660a22aee138) - Support a list of `Trackio.Image` in a `trackio.Table` cell. Thanks @abidlabs! + +## 0.8.0 + +### Features + +- [#331](https://github.com/gradio-app/trackio/pull/331) [`2c02d0f`](https://github.com/gradio-app/trackio/commit/2c02d0fd0a5824160528782402bb0dd4083396d5) - Truncate table string values that are greater than 250 characters (configuirable via env variable). Thanks @abidlabs! +- [#324](https://github.com/gradio-app/trackio/pull/324) [`50b2122`](https://github.com/gradio-app/trackio/commit/50b2122e7965ac82a72e6cb3b7d048bc10a2a6b1) - Add log y-axis functionality to UI. Thanks @abidlabs! +- [#326](https://github.com/gradio-app/trackio/pull/326) [`61dc1f4`](https://github.com/gradio-app/trackio/commit/61dc1f40af2f545f8e70395ddf0dbb8aee6b60d5) - Fix: improve table rendering for metrics in Trackio Dashboard. Thanks @vigneshwaran! +- [#328](https://github.com/gradio-app/trackio/pull/328) [`6857cbb`](https://github.com/gradio-app/trackio/commit/6857cbbe557a59a4642f210ec42566d108294e63) - Support trackio.Table with trackio.Image columns. Thanks @abidlabs! +- [#323](https://github.com/gradio-app/trackio/pull/323) [`6857cbb`](https://github.com/gradio-app/trackio/commit/6857cbbe557a59a4642f210ec42566d108294e63) - add Trackio client implementations in Go, Rust, and JS. Thanks @vaibhav-research! + +## 0.7.0 + +### Features + +- [#277](https://github.com/gradio-app/trackio/pull/277) [`db35601`](https://github.com/gradio-app/trackio/commit/db35601b9c023423c4654c9909b8ab73e58737de) - fix: make grouped runs view reflect live updates. Thanks @Saba9! +- [#320](https://github.com/gradio-app/trackio/pull/320) [`24ae739`](https://github.com/gradio-app/trackio/commit/24ae73969b09fb3126acd2f91647cdfbf8cf72a1) - Add additional query parms for xmin, xmax, and smoothing. Thanks @abidlabs! +- [#270](https://github.com/gradio-app/trackio/pull/270) [`cd1dfc3`](https://github.com/gradio-app/trackio/commit/cd1dfc3dc641b4499ac6d4a1b066fa8e2b52c57b) - feature: add support for logging audio. Thanks @Saba9! + +## 0.6.0 + +### Features + +- [#309](https://github.com/gradio-app/trackio/pull/309) [`1df2353`](https://github.com/gradio-app/trackio/commit/1df23534d6c01938c8db9c0f584ffa23e8d6021d) - Add histogram support with wandb-compatible API. Thanks @abidlabs! +- [#315](https://github.com/gradio-app/trackio/pull/315) [`76ba060`](https://github.com/gradio-app/trackio/commit/76ba06055dc43ca8f03b79f3e72d761949bd19a8) - Add guards to avoid silent fails. Thanks @Xmaster6y! +- [#313](https://github.com/gradio-app/trackio/pull/313) [`a606b3e`](https://github.com/gradio-app/trackio/commit/a606b3e1c5edf3d4cf9f31bd50605226a5a1c5d0) - No longer prevent certain keys from being used. Instead, dunderify them to prevent collisions with internal usage. Thanks @abidlabs! +- [#317](https://github.com/gradio-app/trackio/pull/317) [`27370a5`](https://github.com/gradio-app/trackio/commit/27370a595d0dbdf7eebbe7159d2ba778f039da44) - quick fixes for trackio.histogram. Thanks @abidlabs! +- [#312](https://github.com/gradio-app/trackio/pull/312) [`aa0f3bf`](https://github.com/gradio-app/trackio/commit/aa0f3bf372e7a0dd592a38af699c998363830eeb) - Fix video logging by adding TRACKIO_DIR to allowed_paths. Thanks @abidlabs! + +## 0.5.3 + +### Features + +- [#300](https://github.com/gradio-app/trackio/pull/300) [`5e4cacf`](https://github.com/gradio-app/trackio/commit/5e4cacf2e7ce527b4ce60de3a5bc05d2c02c77fb) - Adds more environment variables to allow customization of Trackio dashboard. Thanks @abidlabs! + +## 0.5.2 + +### Features + +- [#293](https://github.com/gradio-app/trackio/pull/293) [`64afc28`](https://github.com/gradio-app/trackio/commit/64afc28d3ea1dfd821472dc6bf0b8ed35a9b74be) - Ensures that the TRACKIO_DIR environment variable is respected. Thanks @abidlabs! +- [#287](https://github.com/gradio-app/trackio/pull/287) [`cd3e929`](https://github.com/gradio-app/trackio/commit/cd3e9294320949e6b8b829239069a43d5d7ff4c1) - fix(sqlite): unify .sqlite extension, allow export when DBs exist, clean WAL sidecars on import. Thanks @vaibhav-research! + +### Fixes + +- [#291](https://github.com/gradio-app/trackio/pull/291) [`3b5adc3`](https://github.com/gradio-app/trackio/commit/3b5adc3d1f452dbab7a714d235f4974782f93730) - Fix the wheel build. Thanks @pngwn! + +## 0.5.1 + +### Fixes + +- [#278](https://github.com/gradio-app/trackio/pull/278) [`314c054`](https://github.com/gradio-app/trackio/commit/314c05438007ddfea3383e06fd19143e27468e2d) - Fix row orientation of metrics plots. Thanks @abidlabs! \ No newline at end of file diff --git a/trackio/__init__.py b/trackio/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a8bf4b819e9dff5ea846bd6aa914d12cbc75c1b0 --- /dev/null +++ b/trackio/__init__.py @@ -0,0 +1,1216 @@ +import atexit +import glob +import json +import logging +import os +import shutil +import warnings +import webbrowser +from pathlib import Path +from typing import Any + +import huggingface_hub +from gradio_client import handle_file +from huggingface_hub import SpaceStorage +from huggingface_hub.errors import LocalTokenNotFoundError + +from trackio import context_vars, deploy, utils +from trackio.alerts import AlertLevel +from trackio.api import Api +from trackio.apple_gpu import apple_gpu_available +from trackio.apple_gpu import log_apple_gpu as _log_apple_gpu +from trackio.artifact import Artifact +from trackio.cpu import cpu_available +from trackio.cpu import log_cpu as _log_cpu +from trackio.deploy import freeze, sync +from trackio.frontend_config import resolve_frontend_dir +from trackio.gpu import gpu_available +from trackio.gpu import log_gpu as _log_nvidia_gpu +from trackio.histogram import Histogram +from trackio.imports import import_csv, import_tf_events +from trackio.launch import launch_trackio_dashboard +from trackio.markdown import Markdown +from trackio.media import ( + TrackioAudio, + TrackioImage, + TrackioVideo, + get_project_media_path, +) +from trackio.references import ( + ReferenceHandler, + ResolvedReference, + register_reference_handler, +) +from trackio.remote_client import RemoteClient +from trackio.run import Run +from trackio.server import TrackioDashboardApp, build_starlette_app_only +from trackio.sqlite_storage import SQLiteStorage +from trackio.table import Table +from trackio.trace import Trace +from trackio.typehints import UploadEntry +from trackio.utils import TRACKIO_DIR, TRACKIO_LOGO_DIR, _emit_nonfatal_warning + +logging.getLogger("httpx").setLevel(logging.WARNING) + +__version__ = json.loads(Path(__file__).parent.joinpath("package.json").read_text())[ + "version" +] + + +class _TupleNoPrint(tuple): + def __repr__(self) -> str: + return "" + + +__all__ = [ + "init", + "log", + "log_system", + "log_gpu", + "log_artifact", + "use_artifact", + "log_cpu", + "finish", + "alert", + "AlertLevel", + "show", + "sync", + "freeze", + "delete_project", + "import_csv", + "import_tf_events", + "save", + "Artifact", + "ReferenceHandler", + "ResolvedReference", + "register_reference_handler", + "Image", + "Video", + "Audio", + "Table", + "Trace", + "Histogram", + "Markdown", + "Api", + "TRACKIO_LOGO_DIR", +] + +Audio = TrackioAudio +Image = TrackioImage +Video = TrackioVideo + + +config = {} + +_atexit_registered = False +_spaces_created_this_session: set[str] = set() +_projects_notified_auto_log_hw: set[str] = set() + + +def _cleanup_current_run(): + run = context_vars.current_run.get() + if run is not None: + try: + run.finish() + except Exception: + pass + + +def _safe_get_runs_for_init( + project: str, + space_id: str | None, + server_base_url: str | None, + write_token: str | None, + resume: str, + remote_client: RemoteClient | None = None, + check_existing_for_never: bool = False, +) -> list[str]: + if space_id is not None or server_base_url is not None: + if resume == "never" and not check_existing_for_never: + return [] + if remote_client is not None: + source = space_id or server_base_url + try: + runs = remote_client.predict( + project=project, api_name="/get_runs_for_project" + ) + return runs if isinstance(runs, list) else [] + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not inspect existing runs for project '{project}' on '{source}': {e}. Continuing without resume metadata." + ) + return [] + try: + return SQLiteStorage.get_runs(project) + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not inspect existing runs for project '{project}': {e}. Continuing without resume metadata." + ) + return [] + + +def _safe_get_latest_run_for_init( + project: str, + name: str, + space_id: str | None = None, + server_base_url: str | None = None, + write_token: str | None = None, + remote_client: RemoteClient | None = None, +) -> dict | None: + if ( + space_id is not None or server_base_url is not None + ) and remote_client is not None: + source = space_id or server_base_url + try: + runs = remote_client.predict( + project=project, api_name="/get_runs_for_project" + ) + if not isinstance(runs, list): + return None + matches = [r for r in runs if isinstance(r, dict) and r.get("name") == name] + if not matches: + return None + matches.sort(key=lambda r: r.get("created_at") or "", reverse=True) + return matches[0] + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not inspect existing runs for project '{project}' on '{source}': {e}. Continuing without resume metadata." + ) + return None + try: + return SQLiteStorage.get_latest_run_record_by_name(project, name) + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not inspect existing runs for project '{project}': {e}. Continuing without resume metadata." + ) + return None + + +def _safe_get_last_step_for_init( + project: str, + run_name: str, + space_id: str | None, + server_base_url: str | None, + write_token: str | None, + resumed: bool, + run_id: str | None = None, + remote_client: RemoteClient | None = None, +) -> int | None: + if not resumed: + return None + if ( + space_id is not None or server_base_url is not None + ) and remote_client is not None: + source = space_id or server_base_url + try: + summary_kwargs: dict[str, Any] = { + "project": project, + "api_name": "/get_run_summary", + } + if run_id is not None: + summary_kwargs["run_id"] = run_id + else: + summary_kwargs["run"] = run_name + summary = remote_client.predict(**summary_kwargs) + if isinstance(summary, dict): + last_step = summary.get("last_step") + return last_step if isinstance(last_step, int) else None + return None + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not recover the previous step for run '{run_name}' on '{source}': {e}. Continuing from step 0." + ) + return None + try: + return SQLiteStorage.get_max_step_for_run(project, run_name, run_id=run_id) + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not recover the previous step for run '{run_name}': {e}. Continuing from step 0." + ) + return None + + +def init( + project: str, + name: str | None = None, + group: str | None = None, + space_id: str | None = None, + server_url: str | None = None, + space_storage: SpaceStorage | None = None, + dataset_id: str | None = None, + bucket_id: str | None = None, + config: dict | None = None, + resume: str = "never", + settings: Any = None, + private: bool | None = None, + embed: bool = True, + auto_log_gpu: bool | None = None, + gpu_log_interval: float = 10.0, + auto_log_cpu: bool | None = None, + cpu_log_interval: float = 10.0, + webhook_url: str | None = None, + webhook_min_level: AlertLevel | str | None = None, +) -> Run: + """ + Creates a new Trackio project and returns a [`Run`] object. + + Args: + project (`str`): + The name of the project (can be an existing project to continue tracking or + a new project to start tracking from scratch). + name (`str`, *optional*): + The name of the run (if not provided, a default name will be generated). + group (`str`, *optional*): + The name of the group which this run belongs to in order to help organize + related runs together. You can toggle the entire group's visibility in the + dashboard. + space_id (`str`, *optional*): + If provided, the project will be logged to a Hugging Face Space instead of + a local directory. Should be a complete Space name like + `"username/reponame"` or `"orgname/reponame"`, or just `"reponame"` in which + case the Space will be created in the currently-logged-in Hugging Face + user's namespace. If the Space does not exist, it will be created. If the + Space already exists, the project will be logged to it. Can also be set + via the `TRACKIO_SPACE_ID` environment variable. You cannot log to a + Space that has been **frozen** (converted to the static SDK); use + ``trackio.sync(..., sdk="static")`` only after you are done logging. + Takes precedence over `server_url` and `TRACKIO_SERVER_URL` when more than + one is set. + server_url (`str`, *optional*): + Base URL of a self-hosted Trackio server (``http://`` or ``https://``), or the + write-access URL from ``trackio.show()`` which may include a ``write_token`` query + parameter. The client sends that token on each request (``X-Trackio-Write-Token``); + you can also set ``TRACKIO_WRITE_TOKEN`` instead of embedding the token in the URL. + When set, metrics are sent to that server over HTTP instead of creating or syncing + to a Hugging Face Space. Can also be set via the ``TRACKIO_SERVER_URL`` environment + variable. Ignored when ``space_id`` or ``TRACKIO_SPACE_ID`` is set. + space_storage ([`~huggingface_hub.SpaceStorage`], *optional*): + Choice of persistent storage tier. + dataset_id (`str`, *optional*): + Deprecated. Use `bucket_id` instead. + bucket_id (`str`, *optional*): + The ID of the Hugging Face Bucket to use for metric persistence. By default, + when a `space_id` is provided and `bucket_id` is not explicitly set, a + bucket is auto-generated from the space_id. Buckets provide + S3-like storage without git overhead - the SQLite database is stored directly + via `hf-mount` in the Space. Specify a Bucket with name like + `"username/bucketname"` or just `"bucketname"`. + config (`dict`, *optional*): + A dictionary of configuration options. Provided for compatibility with + `wandb.init()`. + resume (`str`, *optional*, defaults to `"never"`): + Controls how to handle resuming a run. Can be one of: + + - `"must"`: Must resume the run with the given name, raises error if run + doesn't exist + - `"allow"`: Resume the run if it exists, otherwise create a new run + - `"never"`: Never resume a run, always create a new one + private (`bool`, *optional*): + Whether to make the Space private. If None (default), the repo will be + public unless the organization's default is private. This value is ignored + if the repo already exists. + settings (`Any`, *optional*): + Not used. Provided for compatibility with `wandb.init()`. + embed (`bool`, *optional*, defaults to `True`): + If running inside a Jupyter/Colab notebook, whether the dashboard should + automatically be embedded in the cell when trackio.init() is called. For + local runs, this launches a local Trackio dashboard and embeds it. For Space runs, + this embeds the Space URL. In Colab, the local dashboard will be accessible + via a public share URL when `share=True`. + auto_log_gpu (`bool` or `None`, *optional*, defaults to `None`): + Controls automatic GPU metrics logging. If `None` (default), GPU logging + is automatically enabled when `nvidia-ml-py` is installed and an NVIDIA + GPU or Apple M series is detected. Set to `True` to force enable or + `False` to disable. + gpu_log_interval (`float`, *optional*, defaults to `10.0`): + The interval in seconds between automatic GPU metric logs. + Only used when `auto_log_gpu=True`. + auto_log_cpu (`bool` or `None`, *optional*, defaults to `None`): + Controls automatic CPU and RAM metrics logging (utilization, memory, + disk I/O, network I/O, and sensors). If `None` (default), CPU logging + is automatically enabled when `psutil` is installed. Set to `True` to + force enable or `False` to disable. + cpu_log_interval (`float`, *optional*, defaults to `10.0`): + The interval in seconds between automatic CPU metric logs. + Only used when CPU auto-logging is enabled. + webhook_url (`str`, *optional*): + A webhook URL to POST alert payloads to when `trackio.alert()` is + called. Supports Slack and Discord webhook URLs natively (payloads + are formatted automatically). Can also be set via the + `TRACKIO_WEBHOOK_URL` environment variable. Individual alerts can + override this URL by passing `webhook_url` to `trackio.alert()`. + webhook_min_level (`AlertLevel` or `str`, *optional*): + Minimum alert level that should trigger webhook delivery. + For example, `AlertLevel.WARN` sends only `WARN` and `ERROR` + alerts to the webhook destination. Can also be set via + `TRACKIO_WEBHOOK_MIN_LEVEL`. + Returns: + `Run`: A [`Run`] object that can be used to log metrics and finish the run. + """ + SQLiteStorage.validate_project_name(project) + + if settings is not None: + _emit_nonfatal_warning( + "* Warning: settings is not used. Provided for compatibility with wandb.init(). Please create an issue at: https://github.com/gradio-app/trackio/issues if you need a specific feature implemented." + ) + + previous_run = context_vars.current_run.get() + if previous_run is not None: + try: + previous_run.finish() + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not finish the previous run '{previous_run.name}': {e}. Continuing with new run." + ) + context_vars.current_run.set(None) + + bucket_id_was_explicit = bucket_id is not None + space_id, server_url = utils.resolve_space_id_and_server_url(space_id, server_url) + if bucket_id is None and utils.on_spaces(): + bucket_id = os.environ.get("TRACKIO_BUCKET_ID") + if server_url is not None and not server_url.startswith(("http://", "https://")): + raise ValueError( + f"`server_url` must be a full URL starting with http:// or https://, got: {server_url!r}" + ) + server_base_url: str | None = None + write_token_resolved: str | None = None + if server_url is not None: + server_base_url, tok = utils.parse_trackio_server_url(server_url) + write_token_resolved = tok or os.environ.get("TRACKIO_WRITE_TOKEN") + if not write_token_resolved: + raise ValueError( + "Self-hosted logging requires a write token: add write_token to the server URL, " + "or set the TRACKIO_WRITE_TOKEN environment variable." + ) + if server_url is not None and (dataset_id is not None or bucket_id is not None): + raise ValueError( + "`dataset_id` and `bucket_id` are Hugging Face Spaces concepts and are not " + "compatible with `server_url`. Configure storage on the self-hosted server." + ) + if space_id is None and dataset_id is not None: + raise ValueError("Must provide a `space_id` when `dataset_id` is provided.") + if dataset_id is not None and bucket_id is not None: + raise ValueError("Cannot provide both `dataset_id` and `bucket_id`.") + try: + space_id, dataset_id, bucket_id = utils.preprocess_space_and_dataset_ids( + space_id, dataset_id, bucket_id + ) + if ( + space_id is not None + and dataset_id is None + and bucket_id is not None + and not bucket_id_was_explicit + and not utils.on_spaces() + ): + bucket_id = deploy.resolve_auto_bucket_id(space_id, bucket_id) + except LocalTokenNotFoundError as e: + raise LocalTokenNotFoundError( + f"You must be logged in to Hugging Face locally when `space_id` is provided to deploy to a Space. {e}" + ) from e + + if space_id is None and bucket_id is not None: + _emit_nonfatal_warning( + "trackio.init() has `bucket_id` set but `space_id` is None: metrics will be logged " + "locally only. Pass `space_id` to create or use a Hugging Face Space, which will be " + "attached to the Hugging Face Bucket.", + UserWarning, + stacklevel=2, + ) + + if space_id is not None: + deploy.raise_if_space_is_frozen_for_logging(space_id) + + remote_source = space_id or server_base_url + + if remote_source is not None: + url = remote_source + context_vars.current_server.set(url) + if space_id is not None: + context_vars.current_space_id.set(space_id) + context_vars.current_server_write_token.set(None) + else: + context_vars.current_space_id.set(None) + context_vars.current_server_write_token.set(write_token_resolved) + else: + url = None + context_vars.current_server.set(None) + context_vars.current_space_id.set(None) + context_vars.current_server_write_token.set(None) + + _should_embed_local = False + + newly_created_space = False + if space_id is not None and space_id in _spaces_created_this_session: + if deploy.space_is_running(space_id): + _spaces_created_this_session.discard(space_id) + else: + newly_created_space = True + + if ( + context_vars.current_project.get() is None + or context_vars.current_project.get() != project + ): + print(f"* Trackio project initialized: {project}") + + if bucket_id is not None: + if utils.on_spaces(): + os.environ["TRACKIO_BUCKET_ID"] = bucket_id + bucket_url = f"https://huggingface.co/buckets/{bucket_id}" + print( + f"* Trackio metrics will be synced to Hugging Face Bucket: {bucket_url}" + ) + elif dataset_id is not None: + if utils.on_spaces(): + os.environ["TRACKIO_DATASET_ID"] = dataset_id + print( + f"* Trackio metrics will be synced to Hugging Face Dataset: {dataset_id}" + ) + if remote_source is None: + print(f"* Trackio metrics logged to: {TRACKIO_DIR}") + _should_embed_local = embed and utils.is_in_notebook() + if not _should_embed_local: + utils.print_dashboard_instructions(project) + elif server_base_url is not None: + print( + f"* Trackio metrics will be sent to self-hosted server: {server_base_url}" + ) + if utils.is_in_notebook() and embed: + utils.embed_url_in_notebook(server_base_url) + else: + try: + if deploy.create_space_if_not_exists( + space_id, + space_storage, + dataset_id, + bucket_id, + private, + ): + _spaces_created_this_session.add(space_id) + newly_created_space = True + user_name, space_name = space_id.split("/") + space_url = deploy.SPACE_HOST_URL.format( + user_name=user_name, space_name=space_name + ) + if utils.is_in_notebook() and embed: + utils.embed_url_in_notebook(space_url) + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not prepare Space '{space_id}': {e}. Logging will continue in local fallback mode until the Space is reachable." + ) + context_vars.current_project.set(project) + + remote_client = None + if space_id is not None and not newly_created_space: + try: + remote_client = RemoteClient( + space_id, + hf_token=huggingface_hub.utils.get_token(), + verbose=False, + ) + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not create a remote client for Space '{space_id}': {e}. Continuing with local fallback metadata lookups." + ) + elif server_base_url is not None: + try: + remote_client = RemoteClient( + server_base_url, + hf_token=None, + write_token=write_token_resolved, + verbose=False, + ) + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not create a remote client for '{server_base_url}': {e}. Continuing with local fallback metadata lookups." + ) + + existing_run_records = _safe_get_runs_for_init( + project, + space_id, + server_base_url, + write_token_resolved, + resume, + remote_client=remote_client, + check_existing_for_never=name is not None, + ) + existing_runs = [ + r["name"] if isinstance(r, dict) else r for r in existing_run_records + ] + + existing_run = ( + _safe_get_latest_run_for_init( + project, + name, + space_id=space_id, + server_base_url=server_base_url, + write_token=write_token_resolved, + remote_client=remote_client, + ) + if name is not None + else None + ) + resolved_run_id = None + + if resume == "must": + if name is None: + raise ValueError("Must provide a run name when resume='must'") + if existing_run is None: + raise ValueError(f"Run '{name}' does not exist in project '{project}'") + resumed = True + resolved_run_id = existing_run["id"] + elif resume == "allow": + resumed = existing_run is not None + if resumed: + resolved_run_id = existing_run["id"] + elif resume == "never": + resumed = False + else: + raise ValueError("resume must be one of: 'must', 'allow', or 'never'") + + initial_last_step = ( + _safe_get_last_step_for_init( + project, + name, + space_id, + server_base_url, + write_token_resolved, + resumed, + run_id=resolved_run_id, + remote_client=remote_client, + ) + if name is not None + else None + ) + + auto_log_cpu_detected = False + if auto_log_cpu is None: + auto_log_cpu_detected = cpu_available() + auto_log_cpu = auto_log_cpu_detected + + auto_log_gpu_detected = False + nvidia_available = False + apple_available = False + if auto_log_gpu is None: + nvidia_available = gpu_available() + apple_available = apple_gpu_available() + auto_log_gpu_detected = nvidia_available or apple_available + auto_log_gpu = auto_log_gpu_detected + + if project not in _projects_notified_auto_log_hw: + if nvidia_available: + print("* NVIDIA GPU detected, enabling automatic GPU metrics logging") + elif apple_available: + print( + "* Apple Silicon detected, enabling automatic GPU/system metrics logging" + ) + if auto_log_cpu_detected: + print("* psutil detected, enabling automatic CPU/system metrics logging") + if auto_log_gpu_detected or auto_log_cpu_detected: + _projects_notified_auto_log_hw.add(project) + + run = Run( + url=url, + project=project, + client=None, + name=name, + run_id=resolved_run_id, + group=group, + config=config, + space_id=space_id, + bucket_id=bucket_id, + server_base_url=server_base_url, + write_token=write_token_resolved, + existing_runs=existing_runs, + initial_last_step=initial_last_step, + auto_log_gpu=auto_log_gpu, + gpu_log_interval=gpu_log_interval, + auto_log_cpu=auto_log_cpu, + cpu_log_interval=cpu_log_interval, + webhook_url=webhook_url, + webhook_min_level=webhook_min_level, + ) + + if space_id is not None: + try: + SQLiteStorage.set_project_metadata(project, "space_id", space_id) + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not persist Space metadata for project '{project}': {e}. Logging will continue." + ) + try: + if SQLiteStorage.has_pending_data(project): + run._has_local_buffer = True + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not inspect pending buffered data for project '{project}': {e}. Logging will continue." + ) + + global _atexit_registered + if not _atexit_registered: + atexit.register(_cleanup_current_run) + _atexit_registered = True + + if resumed: + print(f"* Resumed existing run: {run.name}") + else: + print(f"* Created new run: {run.name}") + + context_vars.current_run.set(run) + globals()["config"] = run.config + + if space_id is not None or server_url is None: + try: + from trackio import logbook as _logbook # noqa: PLC0415 + + _logbook.auto_note_dashboard(project, space_id=space_id) + except Exception: + pass + + if _should_embed_local: + try: + show(project=project, open_browser=False, block_thread=False) + except Exception as e: + _emit_nonfatal_warning( + f"trackio.init() could not auto-launch the dashboard: {e}. Logging will continue." + ) + + return run + + +def log(metrics: dict, step: int | None = None) -> None: + """ + Logs metrics to the current run. + + Args: + metrics (`dict`): + A dictionary of metrics to log. + step (`int`, *optional*): + The step number. If not provided, the step will be incremented + automatically. + """ + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.log().") + run.log( + metrics=metrics, + step=step, + ) + + +def log_system(metrics: dict) -> None: + """ + Logs system metrics (GPU, etc.) to the current run using timestamps instead of steps. + + Args: + metrics (`dict`): + A dictionary of system metrics to log. + """ + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.log_system().") + run.log_system(metrics=metrics) + + +def log_artifact( + artifact_or_path: Artifact | str | Path, + name: str | None = None, + type: str | None = None, + aliases: list[str] | None = None, +) -> Artifact: + """ + Logs an artifact as an output of the current run. + + Args: + artifact_or_path (`Artifact`, `str`, or `Path`): + The artifact to log (must have at least one file added via + `add_file` or `add_dir`), or a path to a file or directory to + log as a new artifact. + name (`str`, *optional*): + Artifact name when logging a path. Defaults to + `run--`. Must not be passed with an `Artifact`. + type (`str`, *optional*): + Artifact type when logging a path (e.g. `"model"`, `"dataset"`). + Defaults to `"unspecified"`. Must not be passed with an + `Artifact`. + aliases (`list[str]`, *optional*): + Aliases to rotate onto the resulting version, alongside `latest` + (assigned automatically whenever a new version is created). Your + aliases rotate onto the version even when identical content is + de-duplicated. + + Returns: + The logged `Artifact` instance, hydrated with `version`, `aliases`, + `size`, `manifest`, and `project` set. + """ + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.log_artifact().") + return run.log_artifact(artifact_or_path, name=name, type=type, aliases=aliases) + + +def use_artifact( + artifact_or_name: Artifact | str, + type: str | None = None, +) -> Artifact: + """ + Fetches an artifact and records it as an input to the current run. + + Args: + artifact_or_name (`Artifact` or `str`): + An already-logged `Artifact`, or an artifact name. A bare name + (`"my-model"`) resolves to `:latest`; you can also pin a version + (`"my-model:v3"`) or resolve an alias (`"my-model:prod"`). + type (`str`, *optional*): + If given, checked against the stored artifact type, raising if it + does not match. + + Returns: + The fetched `Artifact`, hydrated and ready to `download()`. + """ + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.use_artifact().") + return run.use_artifact(artifact_or_name, type=type) + + +def log_gpu(run: Run | None = None, device: int | None = None) -> dict: + """ + Log GPU metrics to the current or specified run as system metrics. + Automatically detects whether an NVIDIA or Apple GPU is available and calls + the appropriate logging method. + + Args: + run: Optional Run instance. If None, uses current run from context. + device: CUDA device index to collect metrics from (NVIDIA GPUs only). + If None, collects from all GPUs visible to this process. + This parameter is ignored for Apple GPUs. + + Returns: + dict: The GPU metrics that were logged. + + Example: + ```python + import trackio + + run = trackio.init(project="my-project") + trackio.log({"loss": 0.5}) + trackio.log_gpu() + trackio.log_gpu(device=0) + ``` + """ + if run is None: + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.log_gpu().") + + if gpu_available(): + return _log_nvidia_gpu(run=run, device=device) + elif apple_gpu_available(): + return _log_apple_gpu(run=run) + else: + _emit_nonfatal_warning( + "No GPU detected. Install nvidia-ml-py for NVIDIA GPU support " + "or psutil for Apple Silicon support." + ) + return {} + + +def log_cpu(run: Run | None = None) -> dict: + """ + Log CPU, RAM, disk, network, and sensor metrics to the current or specified run + as system metrics. + + Args: + run: Optional Run instance. If None, uses current run from context. + + Returns: + dict: The CPU and system metrics that were logged. + + Example: + ```python + import trackio + + run = trackio.init(project="my-project") + trackio.log({"loss": 0.5}) + trackio.log_cpu() + ``` + """ + if run is None: + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.log_cpu().") + + return _log_cpu(run=run) + + +def finish(): + """ + Finishes the current run. + """ + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.finish().") + try: + run.finish() + finally: + context_vars.current_run.set(None) + + +def alert( + title: str, + text: str | None = None, + level: AlertLevel = AlertLevel.WARN, + webhook_url: str | None = None, +) -> None: + """ + Fires an alert immediately on the current run. The alert is printed to the + terminal, stored in the database, and displayed in the dashboard. If a + webhook URL is configured (via `trackio.init()`, the `TRACKIO_WEBHOOK_URL` + environment variable, or the `webhook_url` parameter here), the alert is + also POSTed to that URL. + + Args: + title (`str`): + A short title for the alert. + text (`str`, *optional*): + A longer description with details about the alert. + level (`AlertLevel`, *optional*, defaults to `AlertLevel.WARN`): + The severity level. One of `AlertLevel.INFO`, `AlertLevel.WARN`, + or `AlertLevel.ERROR`. + webhook_url (`str`, *optional*): + A webhook URL to send this specific alert to. Overrides any + URL set in `trackio.init()` or the `TRACKIO_WEBHOOK_URL` + environment variable. Supports Slack and Discord webhook + URLs natively. + """ + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.alert().") + run.alert(title=title, text=text, level=level, webhook_url=webhook_url) + + +def delete_project(project: str, force: bool = False) -> bool: + """ + Deletes a project by removing its local SQLite database. + + Args: + project (`str`): + The name of the project to delete. + force (`bool`, *optional*, defaults to `False`): + If `True`, deletes the project without prompting for confirmation. + If `False`, prompts the user to confirm before deleting. + + Returns: + `bool`: `True` if the project was deleted, `False` otherwise. + """ + db_path = SQLiteStorage.get_project_db_path(project) + + if not db_path.exists(): + print(f"* Project '{project}' does not exist.") + return False + + if not force: + response = input( + f"Are you sure you want to delete project '{project}'? " + f"This will permanently delete all runs and metrics. (y/N): " + ) + if response.lower() not in ["y", "yes"]: + print("* Deletion cancelled.") + return False + + try: + db_path.unlink() + + for suffix in ("-wal", "-shm"): + sidecar = Path(str(db_path) + suffix) + if sidecar.exists(): + sidecar.unlink() + + for parquet_path in SQLiteStorage._project_parquet_paths(db_path): + if parquet_path.exists(): + parquet_path.unlink() + + for asset_dir in ( + utils.project_artifacts_dir(project), + utils.project_media_dir(project), + ): + if asset_dir.exists(): + shutil.rmtree(asset_dir, ignore_errors=True) + + print(f"* Project '{project}' has been deleted.") + return True + except Exception as e: + print(f"* Error deleting project '{project}': {e}") + return False + + +def save( + glob_str: str | Path, + project: str | None = None, +) -> str: + """ + Saves files to a project (not linked to a specific run). If Trackio is running + locally, the file(s) will be copied to the project's files directory. If Trackio is + running in a Space, the file(s) will be uploaded to the Space's files directory. + + Args: + glob_str (`str` or `Path`): + The file path or glob pattern to save. Can be a single file or a pattern + matching multiple files (e.g., `"*.py"`, `"models/**/*.pth"`). + project (`str`, *optional*): + The name of the project to save files to. If not provided, uses the current + project from `trackio.init()`. If no project is initialized, raises an + error. + + Returns: + `str`: The path where the file(s) were saved (project's files directory). + + Example: + ```python + import trackio + + trackio.init(project="my-project") + trackio.save("config.yaml") + trackio.save("models/*.pth") + ``` + """ + if project is None: + project = context_vars.current_project.get() + if project is None: + raise RuntimeError( + "No project specified. Either call trackio.init() first or provide a " + "project parameter to trackio.save()." + ) + + glob_str = Path(glob_str) + base_path = Path.cwd().resolve() + + matched_files = [] + if glob_str.is_file(): + matched_files = [glob_str.resolve()] + else: + pattern = str(glob_str) + if not glob_str.is_absolute(): + pattern = str((Path.cwd() / glob_str).resolve()) + matched_files = [ + Path(f).resolve() + for f in glob.glob(pattern, recursive=True) + if Path(f).is_file() + ] + + if not matched_files: + raise ValueError(f"No files found matching pattern: {glob_str}") + + current_run = context_vars.current_run.get() + is_local = ( + current_run._is_local + if current_run is not None + else ( + context_vars.current_space_id.get() is None + and context_vars.current_server.get() is None + ) + ) + + if is_local: + for file_path in matched_files: + try: + relative_to_base = file_path.relative_to(base_path) + except ValueError: + relative_to_base = Path(file_path.name) + + if current_run is not None: + current_run._queue_upload( + file_path, + step=None, + relative_path=str(relative_to_base.parent), + use_run_name=False, + ) + else: + media_path = get_project_media_path( + project=project, + run=None, + step=None, + relative_path=str(relative_to_base), + ) + shutil.copy(str(file_path), str(media_path)) + else: + url = context_vars.current_server.get() + + upload_entries = [] + for file_path in matched_files: + try: + relative_to_base = file_path.relative_to(base_path) + except ValueError: + relative_to_base = Path(file_path.name) + + if current_run is not None: + current_run._queue_upload( + file_path, + step=None, + relative_path=str(relative_to_base.parent), + use_run_name=False, + ) + else: + upload_entry: UploadEntry = { + "project": project, + "run": None, + "step": None, + "relative_path": str(relative_to_base), + "uploaded_file": handle_file(file_path), + } + upload_entries.append(upload_entry) + + if upload_entries: + if url is None: + raise RuntimeError( + "No server available. Call trackio.init() before trackio.save() to start the server." + ) + + try: + wt = context_vars.current_server_write_token.get() + if wt is not None: + client = RemoteClient( + url, + hf_token=None, + write_token=wt, + httpx_kwargs={"timeout": 90}, + ) + else: + client = RemoteClient( + url, + hf_token=huggingface_hub.utils.get_token(), + httpx_kwargs={"timeout": 90}, + ) + client.predict( + api_name="/bulk_upload_media", + uploads=upload_entries, + hf_token=huggingface_hub.utils.get_token() if wt is None else None, + ) + except Exception as e: + _emit_nonfatal_warning( + f"Failed to upload files: {e}. " + "Files may not be available in the dashboard." + ) + + return str(utils.project_media_dir(project) / "files") + + +def show( + project: str | None = None, + *, + theme: Any = None, + mcp_server: bool | None = None, + footer: bool = True, + color_palette: list[str] | None = None, + open_browser: bool = True, + block_thread: bool | None = None, + host: str | None = None, + share: bool | None = None, + server_port: int | None = None, + frontend_dir: str | Path | None = None, +): + """ + Launches the Trackio dashboard. + + Args: + project (`str`, *optional*): + The name of the project whose runs to show. If not provided, all projects + will be shown and the user can select one. + theme (`Any`, *optional*): + Ignored. Kept for backward compatibility; Trackio no longer uses Gradio themes. + mcp_server (`bool`, *optional*): + If `True`, the dashboard exposes an MCP server at `/mcp` when the optional + `trackio[mcp]` dependency is installed. If `None` (default), the + `GRADIO_MCP_SERVER` environment variable is used (e.g. on Spaces). + footer (`bool`, *optional*, defaults to `True`): + Whether to include `footer=false` in the write-token URL when `False`. + This can also be controlled via the `footer` query parameter in the URL. + color_palette (`list[str]`, *optional*): + A list of hex color codes to use for plot lines. If not provided, the + `TRACKIO_COLOR_PALETTE` environment variable will be used (comma-separated + hex codes), or if that is not set, the default color palette will be used. + Example: `['#FF0000', '#00FF00', '#0000FF']` + open_browser (`bool`, *optional*, defaults to `True`): + If `True` and not in a notebook, a new browser tab will be opened with the + dashboard. If `False`, the browser will not be opened. + block_thread (`bool`, *optional*): + If `True`, the main thread will be blocked until the dashboard is closed. + If `None` (default behavior), then the main thread will not be blocked if the + dashboard is launched in a notebook, otherwise the main thread will be blocked. + host (`str`, *optional*): + The host to bind the server to. If not provided, defaults to `'127.0.0.1'` + (localhost only). Set to `'0.0.0.0'` to allow remote access. + share (`bool`, *optional*): + If `True`, creates a temporary public URL (Gradio-compatible tunnel). On Colab + or hosted notebooks, defaults to `True` unless overridden. + server_port (`int`, *optional*): + Port to bind. If not set, scans from `GRADIO_SERVER_PORT` (default 7860). + frontend_dir (`str | Path`, *optional*): + Directory containing a custom static frontend. Must contain `index.html`. + If not provided, Trackio checks `TRACKIO_FRONTEND_DIR`, then the persistent + Trackio config, then the bundled frontend. If an explicit `frontend_dir` + points to a missing or empty directory, Trackio copies in the starter + template and serves that directory. + + Returns: + `app`: The dashboard handle (`.close()` stops the server). + `url`: The local URL of the dashboard. + `share_url`: The public share URL, if any. + `full_url`: The full URL including the write token (share URL when sharing, else local). + """ + if theme is not None and theme != "default": + warnings.warn( + "The theme argument is ignored; Trackio no longer depends on Gradio themes.", + UserWarning, + stacklevel=2, + ) + + if color_palette is not None: + os.environ["TRACKIO_COLOR_PALETTE"] = ",".join(color_palette) + + _mcp_server = ( + mcp_server + if mcp_server is not None + else os.environ.get("GRADIO_MCP_SERVER", "False") == "True" + ) + + resolved_frontend = resolve_frontend_dir(frontend_dir, announce=True) + starlette_app, wt = build_starlette_app_only( + mcp_server=_mcp_server, + frontend_dir=str(resolved_frontend.path), + ) + local_url, share_url, _local_api_url, uv_server = launch_trackio_dashboard( + starlette_app, + server_name=host, + server_port=server_port, + share=share, + mcp_server=_mcp_server, + quiet=True, + ) + server = TrackioDashboardApp(starlette_app, uv_server, wt) + + base_root = (share_url or local_url).rstrip("/") + base_url = base_root + "/" + dashboard_url = base_url + if project: + dashboard_url += f"?project={project}" + full_url = utils.get_full_url( + base_root, + project=project, + write_token=wt, + footer=footer, + ) + + if not utils.is_in_notebook(): + print(f"\033[1m\033[38;5;208m* Trackio UI launched at: {dashboard_url}\033[0m") + utils.print_write_token_instructions(full_url) + if open_browser: + webbrowser.open(full_url) + block_thread = block_thread if block_thread is not None else True + else: + utils.embed_url_in_notebook(full_url) + block_thread = block_thread if block_thread is not None else False + + if block_thread: + utils.block_main_thread_until_keyboard_interrupt() + return _TupleNoPrint((server, local_url, share_url, full_url)) diff --git a/trackio/_vendor/__init__.py b/trackio/_vendor/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/trackio/_vendor/gradio_exceptions.py b/trackio/_vendor/gradio_exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..34696b9e534896b66557bab78a2d78709c07e351 --- /dev/null +++ b/trackio/_vendor/gradio_exceptions.py @@ -0,0 +1,6 @@ +class ChecksumMismatchError(Exception): + pass + + +class ShareCertificateWriteError(Exception): + pass diff --git a/trackio/_vendor/networking.py b/trackio/_vendor/networking.py new file mode 100644 index 0000000000000000000000000000000000000000..04ef35763f89eb813059ea6fc91a7316ecd2f2de --- /dev/null +++ b/trackio/_vendor/networking.py @@ -0,0 +1,81 @@ +from __future__ import annotations + +import os +import time +import warnings +from pathlib import Path +from urllib.parse import urlparse, urlunparse + +import httpx + +from trackio._vendor.gradio_exceptions import ShareCertificateWriteError +from trackio._vendor.tunneling import CERTIFICATE_PATH, Tunnel + +GRADIO_API_SERVER = "https://api.gradio.app/v3/tunnel-request" +GRADIO_SHARE_SERVER_ADDRESS = os.getenv("GRADIO_SHARE_SERVER_ADDRESS") + + +def setup_tunnel( + local_host: str, + local_port: int, + share_token: str, + share_server_address: str | None, + share_server_tls_certificate: str | None, +) -> str: + share_server_address = ( + GRADIO_SHARE_SERVER_ADDRESS + if share_server_address is None + else share_server_address + ) + if share_server_address is None: + try: + response = httpx.get(GRADIO_API_SERVER, timeout=30) + payload = response.json()[0] + remote_host, remote_port = payload["host"], int(payload["port"]) + certificate = payload["root_ca"] + except Exception as e: + raise RuntimeError( + "Could not get share link from Gradio API Server." + ) from e + try: + Path(CERTIFICATE_PATH).parent.mkdir(parents=True, exist_ok=True) + with open(CERTIFICATE_PATH, "w") as f: + f.write(certificate) + except Exception as e: + raise ShareCertificateWriteError( + f"{e}. This can happen if the current working directory is read-only." + ) from e + share_server_tls_certificate = CERTIFICATE_PATH + + else: + remote_host, remote_port = share_server_address.split(":") + remote_port = int(remote_port) + tunnel = Tunnel( + remote_host, + remote_port, + local_host, + local_port, + share_token, + share_server_tls_certificate, + ) + address = tunnel.start_tunnel() + return address + + +def url_ok(url: str) -> bool: + try: + for _ in range(5): + with warnings.catch_warnings(): + warnings.filterwarnings("ignore") + r = httpx.head(url, timeout=3, verify=False) + if r.status_code in (200, 401, 302, 303, 307): + return True + time.sleep(0.500) + except (ConnectionError, httpx.ConnectError, httpx.TimeoutException): + return False + return False + + +def normalize_share_url(share_url: str, share_server_protocol: str) -> str: + parsed_url = urlparse(share_url) + return urlunparse((share_server_protocol,) + parsed_url[1:]) diff --git a/trackio/_vendor/tunneling.py b/trackio/_vendor/tunneling.py new file mode 100644 index 0000000000000000000000000000000000000000..6bd6258ed043ba70b07bb1e928bf009864206000 --- /dev/null +++ b/trackio/_vendor/tunneling.py @@ -0,0 +1,191 @@ +import atexit +import hashlib +import os +import platform +import re +import stat +import subprocess +import sys +import time +from pathlib import Path + +import httpx +from huggingface_hub.constants import HF_HOME + +from trackio._vendor.gradio_exceptions import ChecksumMismatchError + +VERSION = "0.3" +CURRENT_TUNNELS: list["Tunnel"] = [] + +machine = platform.machine() +if machine == "x86_64": + machine = "amd64" +elif machine == "aarch64": + machine = "arm64" + +BINARY_REMOTE_NAME = f"frpc_{platform.system().lower()}_{machine.lower()}" +EXTENSION = ".exe" if os.name == "nt" else "" +BINARY_URL = f"https://cdn-media.huggingface.co/frpc-gradio-{VERSION}/{BINARY_REMOTE_NAME}{EXTENSION}" + +CHECKSUMS = { + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_windows_amd64.exe": "14bc0ea470be5d67d79a07412bd21de8a0a179c6ac1116d7764f68e942dc9ceb", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_amd64": "c791d1f047b41ff5885772fc4bf20b797c6059bbd82abb9e31de15e55d6a57c4", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_arm64": "823ced25104de6dc3c9f4798dbb43f20e681207279e6ab89c40e2176ccbf70cd", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_darwin_amd64": "930f8face3365810ce16689da81b7d1941fda4466225a7bbcbced9a2916a6e15", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_darwin_arm64": "dfac50c690aca459ed5158fad8bfbe99f9282baf4166cf7c410a6673fbc1f327", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_arm": "4b563beb2e36c448cc688174e20b53af38dc1ff2b5e362d4ddd1401f2affbfb7", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_freebsd_386": "cb0a56c764ecf96dd54ed601d240c564f060ee4e58202d65ffca17c1a51ce19c", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_freebsd_amd64": "516d9e6903513869a011ddcd1ec206167ad1eb5dd6640d21057acc258edecbbb", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_386": "4c2f2a48cd71571498c0ac8a4d42a055f22cb7f14b4b5a2b0d584220fd60a283", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_mips": "b309ecd594d4f0f7f33e556a80d4b67aef9319c00a8334648a618e56b23cb9e0", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_mips64": "0372ef5505baa6f3b64c6295a86541b24b7b0dbe4ef28b344992e21f47624b7b", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_riscv64": "1658eed7e8c14ea76e1d95749d58441ce24147c3d559381832c725c29cfc3df3", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_mipsle": "a2aaba16961d3372b79bd7a28976fcd0f0bbaebc2b50d5a7a71af2240747960f", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_windows_386.exe": "721b90550195a83e15f2176d8f85a48d5a25822757cb872e9723d4bccc4e5bb6", + "https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_mips64le": "796481edd609f31962b45cc0ab4c9798d040205ae3bf354ed1b72fb432d796b8", +} + +CHUNK_SIZE = 128 + +BINARY_FILENAME = f"{BINARY_REMOTE_NAME}_v{VERSION}" +BINARY_FOLDER = Path(HF_HOME) / "trackio" / "frpc" +BINARY_PATH = str(BINARY_FOLDER / BINARY_FILENAME) + +TUNNEL_TIMEOUT_SECONDS = 30 +TUNNEL_ERROR_MESSAGE = ( + "Could not create share URL. " + "Please check the appended log from frpc for more information:" +) + +CERTIFICATE_PATH = ".trackio/certificate.pem" + + +class Tunnel: + def __init__( + self, + remote_host: str, + remote_port: int, + local_host: str, + local_port: int, + share_token: str, + share_server_tls_certificate: str | None, + ): + self.proc = None + self.url = None + self.remote_host = remote_host + self.remote_port = remote_port + self.local_host = local_host + self.local_port = local_port + self.share_token = share_token + self.share_server_tls_certificate = share_server_tls_certificate + + @staticmethod + def download_binary(): + if not Path(BINARY_PATH).exists(): + Path(BINARY_FOLDER).mkdir(parents=True, exist_ok=True) + resp = httpx.get(BINARY_URL, timeout=30) + + if resp.status_code == 403: + raise OSError( + f"Cannot set up a share link as this platform is incompatible. Please " + f"create a GitHub issue with information about your platform: {platform.uname()}" + ) + + resp.raise_for_status() + + with open(BINARY_PATH, "wb") as file: + file.write(resp.content) + st = os.stat(BINARY_PATH) + os.chmod(BINARY_PATH, st.st_mode | stat.S_IEXEC) + + if BINARY_URL in CHECKSUMS: + sha = hashlib.sha256() + with open(BINARY_PATH, "rb") as f: + for chunk in iter(lambda: f.read(CHUNK_SIZE * sha.block_size), b""): + sha.update(chunk) + calculated_hash = sha.hexdigest() + + if calculated_hash != CHECKSUMS[BINARY_URL]: + raise ChecksumMismatchError() + + def start_tunnel(self) -> str: + self.download_binary() + self.url = self._start_tunnel(BINARY_PATH) + return self.url + + def kill(self): + if self.proc is not None: + print(f"Killing tunnel {self.local_host}:{self.local_port} <> {self.url}") + self.proc.terminate() + self.proc = None + + def _start_tunnel(self, binary: str) -> str: + CURRENT_TUNNELS.append(self) + command = [ + binary, + "http", + "-n", + self.share_token, + "-l", + str(self.local_port), + "-i", + self.local_host, + "--uc", + "--sd", + "random", + "--ue", + "--server_addr", + f"{self.remote_host}:{self.remote_port}", + "--disable_log_color", + ] + if self.share_server_tls_certificate is not None: + command.extend( + [ + "--tls_enable", + "--tls_trusted_ca_file", + self.share_server_tls_certificate, + ] + ) + self.proc = subprocess.Popen( + command, stdout=subprocess.PIPE, stderr=subprocess.PIPE + ) + atexit.register(self.kill) + return self._read_url_from_tunnel_stream() + + def _read_url_from_tunnel_stream(self) -> str: + start_timestamp = time.time() + + log = [] + url = "" + + def _raise_tunnel_error(): + log_text = "\n".join(log) + print(log_text, file=sys.stderr) + raise ValueError(f"{TUNNEL_ERROR_MESSAGE}\n{log_text}") + + while url == "": + if time.time() - start_timestamp >= TUNNEL_TIMEOUT_SECONDS: + _raise_tunnel_error() + + assert self.proc is not None # noqa: S101 + if self.proc.stdout is None: + continue + + line = self.proc.stdout.readline() + line = line.decode("utf-8") + + if line == "": + continue + + log.append(line.strip()) + + if "start proxy success" in line: + result = re.search("start proxy success: (.+)\n", line) + if result is None: + _raise_tunnel_error() + else: + url = result.group(1) + elif "login to server failed" in line: + _raise_tunnel_error() + + return url diff --git a/trackio/alerts.py b/trackio/alerts.py new file mode 100644 index 0000000000000000000000000000000000000000..646b9786eacb91fca5270189a78280293e045fc0 --- /dev/null +++ b/trackio/alerts.py @@ -0,0 +1,184 @@ +import json +import logging +import ssl +import urllib.request +from enum import Enum + +try: + import certifi + + _SSL_CONTEXT = ssl.create_default_context(cafile=certifi.where()) +except ImportError: + _SSL_CONTEXT = None + +logger = logging.getLogger(__name__) + + +class AlertLevel(str, Enum): + INFO = "info" + WARN = "warn" + ERROR = "error" + + +ALERT_LEVEL_ORDER = { + AlertLevel.INFO: 0, + AlertLevel.WARN: 1, + AlertLevel.ERROR: 2, +} + +ALERT_COLORS = { + AlertLevel.INFO: "\033[94m", + AlertLevel.WARN: "\033[93m", + AlertLevel.ERROR: "\033[91m", +} +RESET_COLOR = "\033[0m" + +LEVEL_EMOJI = { + AlertLevel.INFO: "ℹ️", + AlertLevel.WARN: "⚠️", + AlertLevel.ERROR: "🚨", +} + + +def format_alert_terminal( + level: AlertLevel, title: str, text: str | None, step: int | None +) -> str: + color = ALERT_COLORS.get(level, "") + step_str = f" (step {step})" if step is not None else "" + if text: + return f"{color}[TRACKIO {level.value.upper()}]{RESET_COLOR} {title}: {text}{step_str}" + return f"{color}[TRACKIO {level.value.upper()}]{RESET_COLOR} {title}{step_str}" + + +def _is_slack_url(url: str) -> bool: + return "hooks.slack.com" in url + + +def _is_discord_url(url: str) -> bool: + return "discord.com/api/webhooks" in url or "discordapp.com/api/webhooks" in url + + +def _build_slack_payload( + level: AlertLevel, + title: str, + text: str | None, + project: str, + run: str, + step: int | None, +) -> dict: + emoji = LEVEL_EMOJI.get(level, "") + step_str = f" • Step {step}" if step is not None else "" + header = f"{emoji} *[{level.value.upper()}] {title}*" + context = f"Project: {project} • Run: {run}{step_str}" + blocks = [ + {"type": "section", "text": {"type": "mrkdwn", "text": header}}, + ] + if text: + blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": text}}) + blocks.append( + {"type": "context", "elements": [{"type": "mrkdwn", "text": context}]} + ) + return {"blocks": blocks} + + +def _build_discord_payload( + level: AlertLevel, + title: str, + text: str | None, + project: str, + run: str, + step: int | None, +) -> dict: + color_map = { + AlertLevel.INFO: 3447003, + AlertLevel.WARN: 16776960, + AlertLevel.ERROR: 15158332, + } + emoji = LEVEL_EMOJI.get(level, "") + step_str = f" • Step {step}" if step is not None else "" + embed = { + "title": f"{emoji} [{level.value.upper()}] {title}", + "color": color_map.get(level, 0), + "footer": {"text": f"Project: {project} • Run: {run}{step_str}"}, + } + if text: + embed["description"] = text + return {"embeds": [embed]} + + +def _build_generic_payload( + level: AlertLevel, + title: str, + text: str | None, + project: str, + run: str, + step: int | None, + timestamp: str | None, +) -> dict: + return { + "level": level.value, + "title": title, + "text": text, + "project": project, + "run": run, + "step": step, + "timestamp": timestamp, + } + + +def parse_alert_level(level: AlertLevel | str) -> AlertLevel: + if isinstance(level, AlertLevel): + return level + normalized = level.lower().strip() + try: + return AlertLevel(normalized) + except ValueError as e: + allowed = ", ".join(lvl.value for lvl in AlertLevel) + raise ValueError( + f"Invalid alert level '{level}'. Expected one of: {allowed}." + ) from e + + +def resolve_webhook_min_level( + webhook_min_level: AlertLevel | str | None, +) -> AlertLevel | None: + if webhook_min_level is None: + return None + return parse_alert_level(webhook_min_level) + + +def should_send_webhook( + level: AlertLevel, webhook_min_level: AlertLevel | None +) -> bool: + if webhook_min_level is None: + return True + return ALERT_LEVEL_ORDER[level] >= ALERT_LEVEL_ORDER[webhook_min_level] + + +def send_webhook( + url: str, + level: AlertLevel, + title: str, + text: str | None, + project: str, + run: str, + step: int | None, + timestamp: str | None = None, +) -> None: + if _is_slack_url(url): + payload = _build_slack_payload(level, title, text, project, run, step) + elif _is_discord_url(url): + payload = _build_discord_payload(level, title, text, project, run, step) + else: + payload = _build_generic_payload( + level, title, text, project, run, step, timestamp + ) + + data = json.dumps(payload).encode("utf-8") + req = urllib.request.Request( + url, data=data, headers={"Content-Type": "application/json"} + ) + try: + urllib.request.urlopen(req, timeout=10, context=_SSL_CONTEXT) + except Exception as e: + logger.warning(f"Failed to send webhook to {url}: {e}") diff --git a/trackio/api.py b/trackio/api.py new file mode 100644 index 0000000000000000000000000000000000000000..ef81ce388aec14dddd1a5b43959c728cacf0ac1c --- /dev/null +++ b/trackio/api.py @@ -0,0 +1,99 @@ +from typing import Iterator + +from trackio.sqlite_storage import SQLiteStorage + + +class Run: + def __init__(self, project: str, name: str, run_id: str | None = None): + self.project = project + self.name = name + self._id = run_id or name + self._config = None + + @property + def id(self) -> str: + return self._id + + @property + def config(self) -> dict | None: + if self._config is None: + self._config = SQLiteStorage.get_run_config( + self.project, self.name, run_id=self.id + ) + return self._config + + def alerts(self, level: str | None = None, since: str | None = None) -> list[dict]: + return SQLiteStorage.get_alerts( + self.project, run_name=self.name, run_id=self.id, level=level, since=since + ) + + def delete(self) -> bool: + return SQLiteStorage.delete_run(self.project, self.name, run_id=self.id) + + def move(self, new_project: str) -> bool: + success = SQLiteStorage.move_run( + self.project, self.name, new_project, run_id=self.id + ) + if success: + self.project = new_project + return success + + def rename(self, new_name: str) -> "Run": + SQLiteStorage.rename_run(self.project, self.name, new_name, run_id=self.id) + self.name = new_name + return self + + def __repr__(self) -> str: + return f"" + + +class Runs: + def __init__(self, project: str): + self.project = project + self._runs = None + + def _load_runs(self): + if self._runs is None: + records = SQLiteStorage.get_run_records(self.project) + self._runs = [ + Run( + self.project, + str(record["name"]), + run_id=str(record["id"]) if record["id"] is not None else None, + ) + for record in records + ] + + def __iter__(self) -> Iterator[Run]: + self._load_runs() + return iter(self._runs) + + def __getitem__(self, index: int) -> Run: + self._load_runs() + return self._runs[index] + + def __len__(self) -> int: + self._load_runs() + return len(self._runs) + + def __repr__(self) -> str: + self._load_runs() + return f"" + + +class Api: + def runs(self, project: str) -> Runs: + if not SQLiteStorage.get_project_db_path(project).exists(): + raise ValueError(f"Project '{project}' does not exist") + return Runs(project) + + def alerts( + self, + project: str, + run: str | None = None, + level: str | None = None, + since: str | None = None, + ) -> list[dict]: + if not SQLiteStorage.get_project_db_path(project).exists(): + raise ValueError(f"Project '{project}' does not exist") + return SQLiteStorage.get_alerts(project, run_name=run, level=level, since=since) diff --git a/trackio/apple_gpu.py b/trackio/apple_gpu.py new file mode 100644 index 0000000000000000000000000000000000000000..3373bf6ddc8dcde19b2d6b15e7ce46e86df00dc1 --- /dev/null +++ b/trackio/apple_gpu.py @@ -0,0 +1,206 @@ +import platform +import subprocess +import sys +import threading +import warnings +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from trackio.run import Run + +psutil: Any = None +PSUTIL_AVAILABLE = False +_monitor_lock = threading.Lock() + + +def _ensure_psutil(): + global PSUTIL_AVAILABLE, psutil + if PSUTIL_AVAILABLE: + return psutil + try: + import psutil as _psutil + + psutil = _psutil + PSUTIL_AVAILABLE = True + return psutil + except ImportError: + raise ImportError( + "psutil is required for Apple Silicon monitoring. " + "Install it with: pip install psutil" + ) + + +def is_apple_silicon() -> bool: + """Check if running on Apple Silicon (M1/M2/M3/M4).""" + if platform.system() != "Darwin": + return False + + try: + result = subprocess.run( + ["sysctl", "-n", "machdep.cpu.brand_string"], + capture_output=True, + text=True, + timeout=1, + ) + cpu_brand = result.stdout.strip() + return "Apple" in cpu_brand + except Exception: + return False + + +def get_gpu_info() -> dict[str, Any]: + """Get Apple GPU information using ioreg.""" + try: + result = subprocess.run( + ["ioreg", "-r", "-d", "1", "-w", "0", "-c", "IOAccelerator"], + capture_output=True, + text=True, + timeout=2, + ) + + if result.returncode == 0 and result.stdout: + lines = result.stdout.strip().split("\n") + for line in lines: + if "IOAccelerator" in line and "class" in line: + return {"detected": True, "type": "Apple GPU"} + else: + print("Error collecting Apple GPU info. ioreg stdout was:", file=sys.stderr) + print(result.stdout, file=sys.stderr) + print("ioreg stderr was:", file=sys.stderr) + print(result.stderr, file=sys.stderr) + + result = subprocess.run( + ["system_profiler", "SPDisplaysDataType"], + capture_output=True, + text=True, + timeout=3, + ) + + if result.returncode == 0 and "Apple" in result.stdout: + for line in result.stdout.split("\n"): + if "Chipset Model:" in line: + model = line.split(":")[-1].strip() + return {"detected": True, "type": model} + + except Exception: + pass + + return {"detected": False} + + +def apple_gpu_available() -> bool: + """ + Check if Apple GPU monitoring is available. + + Returns True if running on Apple Silicon (M-series chips) and psutil is installed. + """ + try: + _ensure_psutil() + return is_apple_silicon() + except ImportError: + return False + except Exception: + return False + + +def collect_apple_metrics(include_cpu_metrics: bool = True) -> dict: + """ + Collect system metrics for Apple Silicon. + + Returns: + Dictionary of system metrics including CPU, memory, and GPU info. + """ + metrics = {} + + if include_cpu_metrics: + from trackio.cpu import collect_cpu_metrics + + metrics.update(collect_cpu_metrics(include_static=True)) + + gpu_info = get_gpu_info() + if gpu_info.get("detected"): + metrics["gpu/detected"] = 1 + + return metrics + + +class AppleGpuMonitor: + def __init__( + self, run: "Run", interval: float = 10.0, include_cpu_metrics: bool = True + ): + self._run = run + self._interval = interval + self._include_cpu_metrics = include_cpu_metrics + self._stop_flag = threading.Event() + self._thread: "threading.Thread | None" = None + + def start(self): + if not is_apple_silicon(): + warnings.warn( + "auto_log_gpu=True but not running on Apple Silicon. " + "Apple GPU logging disabled." + ) + return + + if not PSUTIL_AVAILABLE: + try: + _ensure_psutil() + except ImportError: + warnings.warn( + "auto_log_gpu=True but psutil not installed. " + "Install with: pip install psutil" + ) + return + + self._thread = threading.Thread(target=self._monitor_loop, daemon=True) + self._thread.start() + + def stop(self): + self._stop_flag.set() + if self._thread is not None: + self._thread.join(timeout=2.0) + + def _monitor_loop(self): + while not self._stop_flag.is_set(): + try: + metrics = collect_apple_metrics( + include_cpu_metrics=self._include_cpu_metrics + ) + if metrics: + self._run.log_system(metrics) + except Exception: + pass + + self._stop_flag.wait(timeout=self._interval) + + +def log_apple_gpu(run: "Run | None" = None) -> dict: + """ + Log Apple Silicon system metrics to the current or specified run. + + Args: + run: Optional Run instance. If None, uses current run from context. + + Returns: + dict: The system metrics that were logged. + + Example: + ```python + import trackio + + run = trackio.init(project="my-project") + trackio.log({"loss": 0.5}) + trackio.log_apple_gpu() + ``` + """ + from trackio import context_vars + + if run is None: + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.log_apple_gpu().") + + metrics = collect_apple_metrics() + if metrics: + run.log_system(metrics) + return metrics diff --git a/trackio/artifact.py b/trackio/artifact.py new file mode 100644 index 0000000000000000000000000000000000000000..c764a34520e3eb038e544eee69e0e01c6f77e61c --- /dev/null +++ b/trackio/artifact.py @@ -0,0 +1,552 @@ +import os +import shutil +from pathlib import Path + +import httpx +from huggingface_hub.utils import get_token + +from trackio import cas, references, utils +from trackio.remote_client import _merge_client_headers, _resolve_src_url +from trackio.typehints import ETag, Manifest, ManifestEntry, Sha256Digest, URIStr + + +def _materialize(blob: Path, dst: Path, size: int) -> None: + """Copy `blob` to `dst` unless `dst` already matches the blob's size and + mtime. + """ + dst.parent.mkdir(parents=True, exist_ok=True) + blob_stat = blob.stat() + if dst.is_file(): + dst_stat = dst.stat() + if dst_stat.st_size == size and dst_stat.st_mtime_ns == blob_stat.st_mtime_ns: + return + partial = dst.parent / cas.partial_blob_name(dst.name) + try: + shutil.copyfile(blob, partial) + os.utime(partial, ns=(blob_stat.st_atime_ns, blob_stat.st_mtime_ns)) + os.replace(partial, dst) + except Exception: + partial.unlink(missing_ok=True) + raise + + +def _fetch_blob_from_remote( + remote_source: dict, + project: str, + digest: Sha256Digest, + target_path: Path, +) -> None: + space_id = remote_source.get("space_id") + src = space_id or remote_source.get("server_base_url") + if not src: + raise RuntimeError( + "Artifact has _remote_source set but neither space_id nor " + "server_base_url is populated." + ) + base_url = _resolve_src_url(src).rstrip("/") + url = f"{base_url}/artifact_blob/{utils.canonical_project_name(project)}/{digest}" + headers = _merge_client_headers( + get_token() if space_id else None, + remote_source.get("write_token"), + ) + with httpx.stream( + "GET", + url, + headers=headers, + timeout=httpx.Timeout(connect=10.0, read=300.0, write=10.0, pool=10.0), + ) as response: + if response.status_code == 404: + raise FileNotFoundError( + f"Artifact blob {digest} not available on remote at {url}" + ) + response.raise_for_status() + cas.stage_blob_from_chunks( + response.iter_bytes(), + claimed_digest=digest, + target_path=target_path, + ) + + +def _materialize_reference( + uri: str, scheme: str, dest: Path, digest: Sha256Digest | ETag | URIStr +) -> None: + """Fetch the object at `uri` into `dest`, idempotently and atomically. + + If `dest` already exists it is left untouched and nothing is fetched: + reference digests are opaque, so a file already present is assumed current + (mirroring the size/mtime idempotence of `_materialize`), letting a repeated + `download()` skip references already on disk. + + Otherwise, when a real checksum was recorded, the source is re-probed and + compared. When the digest doesn't exist, or when it cannot be re-probed, + the comparison is skipped and the artifact is still materialized. + """ + if dest.is_file(): + return + if len(digest) > 0 and digest != uri: + try: + resolved = references.resolve_reference( + uri, scheme, checksum=True, max_objects=1 + )[0] + except Exception: + resolved = None + current_digest = resolved.digest if resolved is not None else None + if current_digest is not None and current_digest != digest: + utils._emit_nonfatal_warning( + f"Reference {uri!r} may have changed since it was logged " + f"(recorded digest {digest}, current {current_digest})." + ) + dest.parent.mkdir(parents=True, exist_ok=True) + partial = dest.parent / cas.partial_blob_name(dest.name) + try: + references.fetch_reference(uri, scheme, partial) + os.replace(partial, dest) + except Exception: + partial.unlink(missing_ok=True) + raise + + +class Artifact: + """ + A versioned, named bundle of files and references attached to a project. + + Construct an `Artifact`, add files to it with `add_file` / `add_dir` + (bytes staged into content-addressed storage) or `add_reference` (an + external URI recorded without copying any bytes), then persist it with + `trackio.log_artifact`. Logging freezes the artifact and populates its + read-only `version`, `aliases`, `size`, and `manifest`. + + Args: + name (`str`): + Artifact name, unique within the project. Must match + `^[A-Za-z0-9._-]+$` (letters, digits, dot, underscore, hyphen). + type (`str`): + Free-form category such as `"model"` or `"dataset"`, used to group + artifacts. + description (`str`, *optional*): + Human-readable description of the artifact. + metadata (`dict`, *optional*): + Arbitrary JSON-serializable metadata stored alongside the version. + """ + + def __init__( + self, + name: str, + type: str, + description: str | None = None, + metadata: dict | None = None, + ): + cas.validate_artifact_name(name) + self._name = name + self._type = type + self._description = description + self._metadata: dict = dict(metadata) if metadata else {} + self._pending_files: list[tuple[Path, str]] = [] + self._pending_references: list[ + tuple[str, str, Sha256Digest | ETag | URIStr, int] + ] = [] + self._logged = False + self._version: int | None = None + self._aliases: tuple[str, ...] = () + self._size: int | None = None + self._manifest: Manifest | None = None + self._manifest_digest: Sha256Digest | None = None + self._project: str | None = None + self._remote_source: dict | None = None + + @property + def name(self) -> str: + """Artifact name, unique within its project.""" + return self._name + + @property + def type(self) -> str: + """Free-form category such as `"model"` or `"dataset"`.""" + return self._type + + @property + def description(self) -> str | None: + """Human-readable description, or None if unset.""" + return self._description + + @description.setter + def description(self, value: str | None) -> None: + self._description = value + + @property + def metadata(self) -> dict: + """Live, mutable metadata dict; assignments like `art.metadata["k"] = v` + made before logging are preserved.""" + return self._metadata + + @metadata.setter + def metadata(self, value: dict | None) -> None: + self._metadata = dict(value) if value else {} + + @property + def version(self) -> str | None: + """Version string in `"v"` form (e.g. `"v3"`), or None if the + artifact has not been logged or fetched yet.""" + return None if self._version is None else f"v{self._version}" + + @property + def aliases(self) -> tuple[str, ...]: + """Aliases pointing at this version, e.g. `("latest", "prod")`.""" + return self._aliases + + @property + def size(self) -> int | None: + """Total size in bytes of the artifact's files plus any referenced data + whose size is known, or None if not yet logged.""" + return self._size + + @property + def manifest(self) -> Manifest | None: + """List of manifest entries describing the artifact's contents, or None + if not yet logged or fetched. File entries carry `path`, `digest`, and + `size`; reference entries carry `path`, `ref` (a URI), `size`, and a + `digest` — a sha256 for local/LFS references, the provider's opaque ETag + for HTTP or object-store references, or the URI itself when no checksum + is available. Returns a fresh copy on each access.""" + return None if self._manifest is None else [dict(e) for e in self._manifest] + + @property + def manifest_digest(self) -> Sha256Digest | None: + """Digest over the manifest (file paths plus their content), used to + de-duplicate re-logged content; None until logged or fetched.""" + return self._manifest_digest + + @property + def digest(self) -> Sha256Digest | None: + """Alias of `manifest_digest`.""" + return self._manifest_digest + + @property + def qualified_name(self) -> str: + """`"/:v"` for a logged or fetched artifact.""" + if self._project is None or self._version is None: + raise RuntimeError( + "Artifact has no qualified name until it is logged or fetched." + ) + return f"{self._project}/{self._name}:v{self._version}" + + @property + def project(self) -> str | None: + """Project the artifact belongs to, or None until logged or fetched.""" + return self._project + + def wait(self, timeout: int | None = None) -> "Artifact": + """No-op: trackio logs artifacts synchronously, so the artifact is + already committed by the time `log_artifact` returns.""" + if not self._logged: + raise RuntimeError( + "Cannot wait on an Artifact that has not been logged; " + "call log_artifact first." + ) + return self + + def add_file(self, local_path: str | Path, name: str | None = None) -> None: + """Stage a single file for inclusion in the artifact. + + Args: + local_path (`str` or `Path`): + Path to an existing regular file to add. + name (`str`, *optional*): + Logical path the file is stored under inside the artifact. + Defaults to the file's basename. + """ + if self._logged: + raise RuntimeError( + "Cannot add files to an Artifact that has already been logged or fetched." + ) + src = Path(local_path).resolve() + if not src.is_file(): + raise ValueError(f"Not a regular file: {local_path}") + logical = cas.validate_logical_path(name if name is not None else src.name) + self._pending_files.append((src, logical)) + + def add_dir(self, local_dir: str | Path, name: str | None = None) -> None: + """Stage every regular file under a directory, recursively. + + Symlinks are skipped. + + Args: + local_dir (`str` or `Path`): + Path to an existing directory whose files are added. + name (`str`, *optional*): + Logical path prefix for the added files. Defaults to no prefix, + so files keep their paths relative to `local_dir`. + """ + if self._logged: + raise RuntimeError( + "Cannot add files to an Artifact that has already been logged or fetched." + ) + root = Path(local_dir).resolve() + if not root.is_dir(): + raise ValueError(f"Not a directory: {local_dir}") + prefix = cas.validate_logical_path(name.rstrip("/")) + "/" if name else "" + for dirpath, dirnames, filenames in os.walk(root, followlinks=False): + dirnames.sort() + for filename in sorted(filenames): + entry = Path(dirpath) / filename + if entry.is_symlink() or not entry.is_file(): + continue + rel = entry.relative_to(root).as_posix() + logical = cas.validate_logical_path(prefix + rel) + self._pending_files.append((entry, logical)) + + def add_reference( + self, + uri: str, + name: str | None = None, + checksum: bool = True, + max_objects: int | None = None, + ) -> None: + """Stage a reference to external data, without copying any bytes. + + Unlike `add_file`/`add_dir`, a reference records the data's URI (plus, + when available, a size and checksum) *without staging the bytes into + the content-addressed store*. This is how you version and track + lineage over large or already-durably-stored datasets that must not be + duplicated. + + A URI that denotes a directory (`file://`, `hf://`, or a prefix + expanded by a custom handler) is expanded into one entry per object, + capped by `max_objects`. Reference bytes are never uploaded to a Space + or bucket. + + The URI is stored verbatim in the artifact manifest, and manifests may + be synced to a shared Hugging Face Dataset — so a signed URI triggers a + warning for security reasons; please prefer the object's canonical + unsigned URI (e.g. `s3://bucket/key`). + + Args: + uri (`str`): + Location of the referenced data, percent-encoded (build local + URIs with `pathlib.Path.as_uri()`). `file://`, `http(s)://`, + and `hf://` are resolved and fetched natively; any other scheme + (`s3://`, `gs://`, Azure blob URLs, ...) requires a custom + `ReferenceHandler` registered via + `trackio.register_reference_handler` — see the artifacts + documentation for complete examples — and raises otherwise. + name (`str`, *optional*): + Logical path the reference is stored under. Defaults to the last + segment of `uri`; for an expanded prefix (ending with /) it is the + prefix under which each object's relative path is nested. + checksum (`bool`, *optional*, defaults to `True`): + When `True`, probes the source to derive its size and a + checksum (and to expand a directory/prefix): `file://` is + stream-hashed to a sha256, `hf://` uses its LFS sha256 or git + blob id, and `http(s)://` uses the server `ETag`. This may read + the filesystem or make network requests. When no checksum can + be obtained for a *remote* source (e.g. no ETag), the URI + itself is used as the `digest` and a warning is emitted. A + local `file://` path that does not exist instead raises. Pass + `checksum=False` to skip remote probing entirely. + max_objects (`int`, *optional*): + Cap on how many objects a directory/prefix expands into (default + 10,000); exceeding it raises. + """ + if self._logged: + raise RuntimeError( + "Cannot add references to an Artifact that has already been " + "logged or fetched." + ) + scheme, normalized = references.validate_reference_uri(uri) + if references.looks_signed(normalized): + utils._emit_nonfatal_warning( + f"Reference {uri!r} looks like a signed URL, and the full URI " + "(embedded credential included) is stored in the artifact " + "manifest, which may be synced to a shared HF Dataset. Prefer " + "the object's canonical unsigned URI (e.g. s3://bucket/key or " + "the URL without its signed query string)." + ) + cap = references.DEFAULT_MAX_OBJECTS if max_objects is None else max_objects + resolved = references.resolve_reference(normalized, scheme, checksum, cap) + if not resolved: + raise ValueError(f"Reference URI {uri!r} matched no objects.") + used_uri_fallback = False + name_prefix = f"{name.rstrip('/')}/" if name is not None else "" + for entry in resolved: + if entry.relkey is None: + logical = self._reference_logical_name(name, entry.uri, uri) + else: + logical = cas.validate_logical_path(name_prefix + entry.relkey) + ref_digest: Sha256Digest | ETag | URIStr | None = entry.digest + if ref_digest is None: + ref_digest = URIStr(entry.uri) + used_uri_fallback = True + ref_size = 0 if entry.size is None else entry.size + self._pending_references.append((logical, entry.uri, ref_digest, ref_size)) + if checksum and used_uri_fallback: + utils._emit_nonfatal_warning( + f"Reference {uri!r} was recorded without a content checksum, so its " + "version identity is its URI; re-logging changed content at the same " + "location will reuse the existing version instead of creating a new " + f"one. {references.checksum_hint(scheme, normalized)}" + ) + + @staticmethod + def _reference_logical_name(name: str | None, resolved_uri: str, uri: str) -> str: + if name is not None: + return cas.validate_logical_path(name) + derived = references.default_reference_name(resolved_uri) + if not derived: + raise ValueError( + f"Could not derive a name from URI {uri!r}; pass name= explicitly." + ) + return cas.validate_logical_path(derived) + + def _build_manifest(self, project: str) -> Manifest: + if not self._pending_files and not self._pending_references: + raise ValueError( + f"Artifact {self._name!r} has no files or references; " + "call add_file/add_dir/add_reference first." + ) + cas.assert_manifest_paths_compatible( + [logical for _, logical in self._pending_files] + + [logical for logical, *_ in self._pending_references] + ) + + entries: Manifest = [] + for src, logical in self._pending_files: + digest, size = cas.stage_blob_into_project(src, project) + entries.append({"path": logical, "digest": digest, "size": size}) + for logical, uri, ref_digest, ref_size in self._pending_references: + entry: ManifestEntry = { + "path": logical, + "ref": uri, + "digest": ref_digest, + "size": ref_size, + } + entries.append(entry) + return entries + + def _hydrate_from_db( + self, + *, + project: str, + version: int, + aliases: list[str], + manifest: Manifest, + manifest_digest: Sha256Digest, + size_bytes: int, + description: str | None = None, + metadata: dict | None = None, + ) -> None: + if description is not None: + self._description = description + if metadata is not None: + self._metadata = dict(metadata) + self._project = project + self._version = version + self._aliases = tuple(aliases) + self._manifest = [dict(e) for e in manifest] + self._manifest_digest = manifest_digest + self._size = size_bytes + self._logged = True + + def download(self, root: str | Path | None = None) -> str: + """Materialize the artifact's files into a local directory. + + Files are copied from Trackio's content-addressed cache (and fetched + from the remote when missing locally), so repeated calls are cheap and + idempotent. + + Reference entries added via `add_reference` are fetched here too: the + object at each reference URI is downloaded into the directory (via the + bundled `httpx` for `http(s)://`, `huggingface_hub` for `hf://`, and + the registered custom `ReferenceHandler` for any other scheme). Each + object is written atomically and calls are idempotent. Because reference digests + are opaque (a provider ETag or the URI itself), a present file is assumed + current and is not re-verified against the source, and a source whose + re-probed checksum no longer matches the recorded one is downloaded + anyway with a warning. Downloading can transfer a large amount of data; + to work with the URIs without downloading, read them from the `references` + property or `get_entry_uri` instead. A missing source, an unreachable + server, or a scheme with no registered handler raises. + + Args: + root (`str` or `Path`, *optional*): + Directory to write the files into. Defaults to + `./.trackio/artifact-downloads//_v/`, + keyed by project so same-named artifacts from different projects + never collide, and by the resolved version so a moving alias + like `latest` never leaves behind stale files from a previous + version. + + Returns: + The absolute path to the download directory, as a string. + """ + if not self._logged: + raise RuntimeError( + "Cannot download an Artifact that has not been logged or fetched." + ) + if self._manifest is None or self._project is None or self._version is None: + raise RuntimeError("Artifact is missing manifest, project, or version.") + + if root is None: + project = utils.canonical_project_name(self._project) + root_path = ( + Path.cwd() + / ".trackio" + / "artifact-downloads" + / project + / f"{self._name}_v{self._version}" + ) + else: + root_path = Path(root) + root_path.mkdir(parents=True, exist_ok=True) + + for entry in self._manifest: + logical = cas.validate_logical_path(entry["path"]) + if references.is_reference_entry(entry): + scheme, uri = references.validate_reference_uri(entry["ref"]) + _materialize_reference( + uri, scheme, root_path / logical, entry["digest"] + ) + continue + digest = cas.validate_digest(entry["digest"]) + blob = cas.blob_path(self._project, digest) + if not blob.is_file(): + if self._remote_source is None: + raise FileNotFoundError( + f"Artifact blob {digest} not available locally or " + "remotely. The producer machine may not have shipped " + "this blob yet." + ) + _fetch_blob_from_remote( + self._remote_source, self._project, digest, blob + ) + _materialize(blob, root_path / logical, entry["size"]) + + return str(root_path) + + @property + def references(self) -> list[dict]: + """Reference entries (each with `path`, `ref`, `size`, and a `digest`) + recorded via `add_reference`. These point at external data not stored in + Trackio; read them to work with the URIs without downloading (unlike + `download()`, which fetches them). Returns a fresh copy on each access; + empty if the artifact has no references or has not been logged yet.""" + if self._manifest is None: + return [] + return [dict(e) for e in self._manifest if references.is_reference_entry(e)] + + def get_entry_uri(self, name: str) -> str | None: + """Return the URI recorded for the reference entry at logical path + `name`, or None if there is no reference entry with that name.""" + if self._manifest is None: + return None + for entry in self._manifest: + if entry.get("path") == name and references.is_reference_entry(entry): + return entry["ref"] + return None + + def __repr__(self) -> str: + parts: list[str] = [f"name={self._name!r}", f"type={self._type!r}"] + if self._version is not None: + parts.append(f"version=v{self._version}") + if self._aliases: + parts.append(f"aliases={list(self._aliases)!r}") + return f"Artifact({', '.join(parts)})" diff --git a/trackio/asgi_app.py b/trackio/asgi_app.py new file mode 100644 index 0000000000000000000000000000000000000000..ffb0fd7f97a47677bb88aea99f93f40537c7e9f5 --- /dev/null +++ b/trackio/asgi_app.py @@ -0,0 +1,531 @@ +from __future__ import annotations + +import inspect +import json +import logging +import math +import secrets +import tempfile +import threading +from collections.abc import Callable +from pathlib import Path +from typing import Any, get_args, get_origin +from urllib.parse import unquote + +from starlette.applications import Starlette +from starlette.requests import Request +from starlette.responses import FileResponse, JSONResponse, Response, StreamingResponse +from starlette.routing import Route + +from trackio import utils +from trackio.exceptions import TrackioAPIError +from trackio.remote_client import HTTP_API_VERSION + +logger = logging.getLogger("trackio.asgi_app") + +_PACKAGE_JSON_PATH = Path(__file__).parent / "package.json" +_TRACKIO_PACKAGE_VERSION = json.loads(_PACKAGE_JSON_PATH.read_text())["version"] + + +def _normalize_allowed_file_roots( + allowed_file_roots: list[str | Path] | None, +) -> tuple[Path, ...]: + roots = [] + for root in allowed_file_roots or []: + roots.append(Path(root).resolve()) + return tuple(roots) + + +def _is_allowed_file_path(path: Path, allowed_roots: tuple[Path, ...]) -> bool: + resolved_path = path.resolve(strict=False) + for root in allowed_roots: + try: + resolved_path.relative_to(root) + return True + except ValueError: + continue + return False + + +def _json_safe(data: Any) -> Any: + if data is None or isinstance(data, (str, bool, int)): + return data + if isinstance(data, float): + return data if math.isfinite(data) else None + if isinstance(data, dict): + return {k: _json_safe(v) for k, v in data.items()} + if isinstance(data, (list, tuple)): + return [_json_safe(v) for v in data] + if hasattr(data, "item"): + try: + return _json_safe(data.item()) + except Exception: + pass + return str(data) + + +def register_uploaded_temp_file(request: Request, file_path: str | Path) -> None: + resolved_path = Path(file_path).resolve(strict=False) + with request.app.state.uploaded_temp_files_lock: + request.app.state.uploaded_temp_files.add(resolved_path) + + +def consume_uploaded_temp_file(request: Request, file_data: Any) -> Path: + file_path = file_data.get("path") if isinstance(file_data, dict) else None + if not isinstance(file_path, str) or not file_path: + raise TrackioAPIError("Expected uploaded file metadata with a valid path.") + + resolved_path = Path(file_path).resolve(strict=False) + with request.app.state.uploaded_temp_files_lock: + if resolved_path not in request.app.state.uploaded_temp_files: + raise TrackioAPIError( + "Uploaded file was not created by this Trackio server." + ) + request.app.state.uploaded_temp_files.remove(resolved_path) + + if not resolved_path.is_file(): + raise TrackioAPIError("Uploaded file is missing.") + + return resolved_path + + +def cleanup_uploaded_temp_file(file_path: str | Path) -> None: + try: + Path(file_path).unlink(missing_ok=True) + except Exception: + pass + + +def _invoke_handler( + fn: Any, + request: Request, + args: list[Any] | None = None, + kwargs: dict[str, Any] | None = None, +) -> Any: + sig = inspect.signature(fn) + params = list(sig.parameters.values()) + positional_args: list[Any] = [] + keyword_args: dict[str, Any] = {} + args = list(args or []) + kwargs = dict(kwargs or {}) + data_index = 0 + + for param in params: + if param.name == "request": + keyword_args["request"] = request + elif param.kind == inspect.Parameter.VAR_POSITIONAL: + positional_args.extend(args[data_index:]) + data_index = len(args) + elif param.kind == inspect.Parameter.VAR_KEYWORD: + keyword_args.update(kwargs) + kwargs.clear() + elif param.name in kwargs: + keyword_args[param.name] = kwargs.pop(param.name) + elif param.kind in ( + inspect.Parameter.POSITIONAL_ONLY, + inspect.Parameter.POSITIONAL_OR_KEYWORD, + ) and data_index < len(args): + positional_args.append(args[data_index]) + data_index += 1 + elif param.default is inspect.Signature.empty and param.kind not in ( + inspect.Parameter.VAR_POSITIONAL, + inspect.Parameter.VAR_KEYWORD, + ): + raise TrackioAPIError(f"Missing required parameter: {param.name}") + + return fn(*positional_args, **keyword_args) + + +async def version_handler(request: Request) -> Response: + mcp_enabled = bool(getattr(request.app.state, "mcp_enabled", False)) + return JSONResponse( + { + "version": _TRACKIO_PACKAGE_VERSION, + "api_version": HTTP_API_VERSION, + "api_transport": "http", + "mcp_enabled": mcp_enabled, + "mcp_path": "/mcp" if mcp_enabled else None, + } + ) + + +def _json_schema_and_python_type(annotation: Any) -> tuple[dict[str, Any], str]: + if annotation is inspect.Parameter.empty: + return {"type": "object"}, "Any" + origin = get_origin(annotation) + args = get_args(annotation) + if origin is not None and args: + non_none = tuple(a for a in args if a is not type(None)) + if len(non_none) == 1 and len(args) > 1: + return _json_schema_and_python_type(non_none[0]) + if origin is list: + inner, py_inner = _json_schema_and_python_type( + args[0] if args else inspect.Parameter.empty + ) + return {"type": "array", "items": inner}, f"list[{py_inner}]" + if origin is dict: + return {"type": "object"}, "dict" + if annotation in (str, bytes): + return {"type": "string"}, "str" + if annotation is int: + return {"type": "integer"}, "int" + if annotation is float: + return {"type": "number"}, "float" + if annotation is bool: + return {"type": "boolean"}, "bool" + name = getattr(annotation, "__name__", None) + if name: + return {"type": "object"}, name + return {"type": "object"}, "Any" + + +def build_gradio_api_info(api_registry: dict[str, Any]) -> dict[str, Any]: + named_endpoints: dict[str, Any] = {} + for name in sorted(api_registry.keys()): + fn = api_registry[name] + if not callable(fn): + continue + sig = inspect.signature(fn) + parameters: list[dict[str, Any]] = [] + for pname, param in sig.parameters.items(): + if pname == "request": + continue + jtype, pytype = _json_schema_and_python_type(param.annotation) + has_default = param.default is not inspect.Parameter.empty + parameters.append( + { + "label": pname, + "parameter_name": pname, + "parameter_has_default": has_default, + "parameter_default": None if not has_default else param.default, + "type": jtype, + "python_type": {"type": pytype, "description": ""}, + "component": "Api", + "example_input": None, + } + ) + ret_ann = sig.return_annotation + if ret_ann is inspect.Signature.empty: + ret_ann = Any + rjtype, rpytype = _json_schema_and_python_type(ret_ann) + returns = [ + { + "label": "result", + "type": rjtype, + "python_type": {"type": rpytype, "description": ""}, + "component": "Api", + } + ] + named_endpoints[f"/{name}"] = { + "parameters": parameters, + "returns": returns, + "api_visibility": "public", + } + return {"named_endpoints": named_endpoints, "unnamed_endpoints": {}} + + +_MAX_GRADIO_CALL_EVENTS = 256 + + +def _hf_token_value_is_unset(value: Any) -> bool: + if value is None: + return True + if isinstance(value, str) and value.strip() == "": + return True + return False + + +def _authorization_bearer_token(request: Request) -> str | None: + auth = request.headers.get("authorization") or request.headers.get("Authorization") + if not auth: + return None + parts = auth.split() + if len(parts) != 2 or parts[0].lower() != "bearer": + return None + tok = parts[1].strip() + return tok or None + + +def _maybe_apply_hf_token_from_authorization( + request: Request, fn: Any, args: list[Any], kwargs: dict[str, Any] +) -> None: + if not utils.on_spaces(): + return + token = _authorization_bearer_token(request) + if not token: + return + sig = inspect.signature(fn) + if "hf_token" not in sig.parameters: + return + params = [p for p in sig.parameters.values() if p.name != "request"] + names = [p.name for p in params] + if "hf_token" not in names: + return + idx = names.index("hf_token") + if "hf_token" in kwargs: + if _hf_token_value_is_unset(kwargs["hf_token"]): + kwargs["hf_token"] = token + return + if idx < len(args): + if _hf_token_value_is_unset(args[idx]): + args[idx] = token + return + kwargs["hf_token"] = token + + +def _store_gradio_call_result( + request: Request, event_id: str, api_name: str, data: Any +) -> None: + with request.app.state.gradio_call_events_lock: + d = request.app.state.gradio_call_events + while len(d) >= _MAX_GRADIO_CALL_EVENTS: + d.pop(next(iter(d))) + d[event_id] = {"api_name": api_name, "data": data} + + +async def run_api_request(request: Request, api_name: str) -> Response: + api_registry = request.app.state.api_registry + fn = api_registry.get(api_name) + if fn is None: + return JSONResponse({"error": f"Unknown API: {api_name}"}, status_code=404) + + try: + body = await request.json() + except Exception: + body = {} + + args: list[Any] = [] + kwargs: dict[str, Any] = {} + if isinstance(body, dict): + if "args" in body or "kwargs" in body: + args = body.get("args") or [] + kwargs = body.get("kwargs") or {} + elif "data" in body and isinstance(body["data"], list): + args = body["data"] + else: + kwargs = body + elif isinstance(body, list): + args = body + elif body is not None: + args = [body] + + if not isinstance(args, list): + args = [args] + if not isinstance(kwargs, dict): + kwargs = {} + + _maybe_apply_hf_token_from_authorization(request, fn, args, kwargs) + + try: + result = _invoke_handler(fn, request, args=args, kwargs=kwargs) + return JSONResponse({"data": _json_safe(result)}) + except TrackioAPIError as e: + return JSONResponse({"error": str(e)}, status_code=400) + except Exception as e: + return JSONResponse({"error": str(e)}, status_code=500) + + +async def api_handler(request: Request) -> Response: + return await run_api_request(request, request.path_params["api_name"]) + + +async def gradio_api_info_handler(request: Request) -> Response: + return JSONResponse( + build_gradio_api_info(request.app.state.api_registry), + headers={"Cache-Control": "no-store"}, + ) + + +async def gradio_call_post_handler(request: Request) -> Response: + api_name = request.path_params["api_name"] + resp = await run_api_request(request, api_name) + if resp.status_code != 200: + return resp + body = json.loads(bytes(resp.body).decode()) + event_id = secrets.token_urlsafe(16) + _store_gradio_call_result(request, event_id, api_name, body["data"]) + return JSONResponse({"event_id": event_id}) + + +async def gradio_call_poll_handler(request: Request) -> Response: + api_name = request.path_params["api_name"] + event_id = request.path_params["event_id"] + with request.app.state.gradio_call_events_lock: + event = request.app.state.gradio_call_events.pop(event_id, None) + if event is None: + logger.info("gradio_api poll: unknown or expired event_id") + return JSONResponse({"error": "Unknown or expired event_id"}, status_code=404) + if event.get("api_name") != api_name: + logger.info( + "gradio_api poll: api_name mismatch (path=%r, stored=%r)", + api_name, + event.get("api_name"), + ) + with request.app.state.gradio_call_events_lock: + d = request.app.state.gradio_call_events + while len(d) >= _MAX_GRADIO_CALL_EVENTS: + d.pop(next(iter(d))) + d[event_id] = event + return JSONResponse({"error": "Unknown or expired event_id"}, status_code=404) + + data = event["data"] + payload = json.dumps(_json_safe([data])) + + async def sse() -> Any: + yield f"event: complete\ndata: {payload}\n\n" + + return StreamingResponse( + sse(), + media_type="text/event-stream", + headers={ + "Cache-Control": "no-store", + "X-Accel-Buffering": "no", + }, + ) + + +async def upload_handler(request: Request) -> Response: + upload_authorizer = getattr(request.app.state, "upload_authorizer", None) + if callable(upload_authorizer): + try: + upload_authorizer(request) + except TrackioAPIError as e: + return JSONResponse({"error": str(e)}, status_code=400) + + form = await request.form() + uploads = form.getlist("files") + saved_paths = [] + for upload in uploads: + suffix = Path(getattr(upload, "filename", "") or "").suffix + with tempfile.NamedTemporaryFile( + delete=False, + prefix="trackio-upload-", + suffix=suffix, + ) as tmp: + tmp.write(await upload.read()) + register_uploaded_temp_file(request, tmp.name) + saved_paths.append(tmp.name) + return JSONResponse({"paths": saved_paths}) + + +async def gradio_upload_alias_handler(request: Request) -> Response: + return await upload_handler(request) + + +_DISALLOWED_FILE_SUFFIXES = frozenset( + {".db", ".db-journal", ".db-wal", ".db-shm", ".sqlite", ".sqlite3"} +) + + +async def file_handler(request: Request) -> Response: + fs_path = request.query_params.get("path") + if fs_path is None: + return Response("Missing path", status_code=400) + fp = Path(unquote(fs_path)).resolve(strict=False) + if fp.suffix.lower() in _DISALLOWED_FILE_SUFFIXES: + return Response("Not found", status_code=404) + if _is_allowed_file_path(fp, (utils.ARTIFACTS_DIR.resolve(),)): + return Response("Not found", status_code=404) + allowed_roots = getattr(request.app.state, "allowed_file_roots", ()) + if fp.is_file() and _is_allowed_file_path(fp, allowed_roots): + return FileResponse(str(fp)) + return Response("Not found", status_code=404) + + +async def artifact_blob_handler(request: Request) -> Response: + from trackio import cas # noqa: PLC0415 + from trackio import server as _server # noqa: PLC0415 + + project = request.path_params.get("project") + digest = request.path_params.get("digest") + try: + project = _server._validate_project_name(project) + digest = _server._validate_sha256_digest(digest) + except TrackioAPIError: + return Response("Not found", status_code=404) + blob = cas.blob_path(project, digest) + if not blob.is_file(): + return Response("Not found", status_code=404) + return FileResponse(str(blob)) + + +def create_trackio_starlette_app( + oauth_routes: list[Route], + api_registry: dict[str, Any], + extra_routes: list[Any] | None = None, + mcp_lifespan: Any = None, + mcp_enabled: bool = False, + allowed_file_roots: list[str | Path] | None = None, + upload_authorizer: Callable[[Request], None] | None = None, +) -> Starlette: + routes: list[Any] = list(oauth_routes) + routes.extend( + [ + Route("/version", endpoint=version_handler, methods=["GET"]), + Route("/api/upload", endpoint=upload_handler, methods=["POST"]), + Route("/api/{api_name:str}", endpoint=api_handler, methods=["POST"]), + Route("/file", endpoint=file_handler, methods=["GET"]), + Route( + "/artifact_blob/{project:str}/{digest:str}", + endpoint=artifact_blob_handler, + methods=["GET"], + ), + ] + ) + if utils.on_spaces(): + routes.extend( + [ + Route( + "/gradio_api/info", + endpoint=gradio_api_info_handler, + methods=["GET"], + ), + Route( + "/gradio_api/info/", + endpoint=gradio_api_info_handler, + methods=["GET"], + ), + Route( + "/gradio_api/upload", + endpoint=gradio_upload_alias_handler, + methods=["POST"], + ), + Route( + "/gradio_api/upload/", + endpoint=gradio_upload_alias_handler, + methods=["POST"], + ), + Route( + "/gradio_api/call/{api_name:str}", + endpoint=gradio_call_post_handler, + methods=["POST"], + ), + Route( + "/gradio_api/call/{api_name:str}/", + endpoint=gradio_call_post_handler, + methods=["POST"], + ), + Route( + "/gradio_api/call/{api_name:str}/{event_id:str}", + endpoint=gradio_call_poll_handler, + methods=["GET"], + ), + Route( + "/gradio_api/call/{api_name:str}/{event_id:str}/", + endpoint=gradio_call_poll_handler, + methods=["GET"], + ), + ] + ) + routes.extend(extra_routes or []) + app = Starlette(routes=routes, lifespan=mcp_lifespan) + app.state.api_registry = api_registry + app.state.mcp_enabled = mcp_enabled + app.state.allowed_file_roots = _normalize_allowed_file_roots(allowed_file_roots) + app.state.upload_authorizer = upload_authorizer + app.state.uploaded_temp_files = set() + app.state.uploaded_temp_files_lock = threading.Lock() + if utils.on_spaces(): + app.state.gradio_call_events = {} + app.state.gradio_call_events_lock = threading.Lock() + return app diff --git a/trackio/assets/badge.png b/trackio/assets/badge.png new file mode 100644 index 0000000000000000000000000000000000000000..03e0340873223b3ecb45f3ebf09512f6d6746ec2 --- /dev/null +++ b/trackio/assets/badge.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:206b7847247e83279f498510a2760338a03116bb5141a658d71ec14429f9ea9e +size 169669 diff --git a/trackio/assets/trackio_logo_dark.png b/trackio/assets/trackio_logo_dark.png new file mode 100644 index 0000000000000000000000000000000000000000..e6ff7e0a3580bca040d9ec3ea8c91e8cca469e61 Binary files /dev/null and b/trackio/assets/trackio_logo_dark.png differ diff --git a/trackio/assets/trackio_logo_light.png b/trackio/assets/trackio_logo_light.png new file mode 100644 index 0000000000000000000000000000000000000000..b3438262c61989e6c6d16df4801a8935136115b3 Binary files /dev/null and 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trackio.cas import is_partial_blob +from trackio.sqlite_storage import SQLiteStorage +from trackio.utils import ( + TRACKIO_DIR, + canonical_project_name, + project_artifacts_dir, + project_media_dir, +) + + +def create_bucket_if_not_exists(bucket_id: str, private: bool | None = None) -> None: + huggingface_hub.create_bucket(bucket_id, private=private, exist_ok=True) + + +LOGBOOK_FILES_BUCKET_PREFIX = "logbook-files" + + +def upload_logbook_path_artifacts_to_bucket( + bucket_id: str, entries: list[dict] +) -> list[str]: + """Uploads local files referenced by path-artifact cells, preserving their + relative path under a stable bucket prefix. Returns the relative paths that + were actually uploaded (missing files are skipped).""" + additions: list[tuple[str, str]] = [] + uploaded: list[str] = [] + for entry in entries: + local_path = Path(entry["abs_path"]) + if not local_path.is_file(): + continue + remote_path = f"{LOGBOOK_FILES_BUCKET_PREFIX}/{entry['path']}" + additions.append((str(local_path), remote_path)) + uploaded.append(entry["path"]) + if additions: + huggingface_hub.batch_bucket_files( + bucket_id, add=additions, token=huggingface_hub.utils.get_token() + ) + return uploaded + + +def _list_bucket_file_paths(bucket_id: str, prefix: str | None = None) -> list[str]: + items = huggingface_hub.list_bucket_tree(bucket_id, prefix=prefix, recursive=True) + return [ + item.path + for item in items + if getattr(item, "type", None) == "file" and getattr(item, "path", None) + ] + + +def download_bucket_to_trackio_dir(bucket_id: str) -> None: + TRACKIO_DIR.mkdir(parents=True, exist_ok=True) + huggingface_hub.sync_bucket( + source=f"hf://buckets/{bucket_id}/trackio", + dest=str(TRACKIO_DIR), + quiet=True, + ) + + +def upload_project_to_bucket(project: str, bucket_id: str) -> None: + db_path = SQLiteStorage.get_project_db_path(project) + if not db_path.exists(): + raise FileNotFoundError(f"No database found for project '{project}'") + + with SQLiteStorage._get_connection( + db_path, configure_pragmas=False, row_factory=None + ) as conn: + conn.execute("PRAGMA wal_checkpoint(TRUNCATE)") + + files_to_add = [(str(db_path), f"trackio/{db_path.name}")] + + media_dir = project_media_dir(project) + if media_dir.exists(): + for media_file in media_dir.rglob("*"): + if media_file.is_file(): + rel = media_file.relative_to(TRACKIO_DIR) + files_to_add.append((str(media_file), f"trackio/{rel.as_posix()}")) + + artifacts_dir = project_artifacts_dir(project) + if artifacts_dir.exists(): + for blob_file in artifacts_dir.rglob("*"): + if not blob_file.is_file(): + continue + if is_partial_blob(blob_file.name): + continue + rel = blob_file.relative_to(TRACKIO_DIR) + files_to_add.append((str(blob_file), f"trackio/{rel.as_posix()}")) + + huggingface_hub.batch_bucket_files(bucket_id, add=files_to_add) + + +def _download_db_from_bucket( + project: str, bucket_id: str, dest_path: Path | None = None +) -> bool: + db_filename = SQLiteStorage.get_project_db_filename(project) + remote_path = f"trackio/{db_filename}" + local_path = dest_path or SQLiteStorage.get_project_db_path(project) + local_path.parent.mkdir(parents=True, exist_ok=True) + try: + huggingface_hub.download_bucket_files( + bucket_id, + files=[(remote_path, str(local_path))], + token=huggingface_hub.utils.get_token(), + ) + return local_path.exists() + except Exception: + return False + + +def _local_db_has_data(project: str) -> bool: + db_path = SQLiteStorage.get_project_db_path(project) + if not db_path.exists() or db_path.stat().st_size == 0: + return False + try: + with SQLiteStorage._get_connection( + db_path, configure_pragmas=False, row_factory=None + ) as conn: + count = conn.execute("SELECT COUNT(*) FROM metrics").fetchone()[0] + return count > 0 + except Exception: + return False + + +def _export_and_upload_static( + project: str, + dest_bucket_id: str, + db_path: Path, + media_dir: Path | None = None, + artifacts_dir: Path | None = None, +) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + output_dir = Path(tmp_dir) + SQLiteStorage.export_for_static_space( + project, output_dir, db_path_override=db_path + ) + + files_to_add = [] + for f in output_dir.rglob("*"): + if f.is_file(): + rel = f.relative_to(output_dir) + files_to_add.append((str(f), rel.as_posix())) + + if media_dir and media_dir.exists(): + for f in media_dir.rglob("*"): + if f.is_file(): + rel = f.relative_to(media_dir) + files_to_add.append((str(f), f"media/{rel.as_posix()}")) + + if artifacts_dir and artifacts_dir.exists(): + for f in artifacts_dir.rglob("*"): + if f.is_file() and not is_partial_blob(f.name): + rel = f.relative_to(artifacts_dir) + files_to_add.append((str(f), f"artifacts/{rel.as_posix()}")) + + huggingface_hub.batch_bucket_files(dest_bucket_id, add=files_to_add) + + +def _copy_project_prefix_between_buckets( + source_bucket_id: str, dest_bucket_id: str, project: str, kind: str +) -> None: + source_prefix = f"trackio/{kind}/{canonical_project_name(project)}/" + files_to_copy = _list_bucket_file_paths(source_bucket_id, prefix=source_prefix) + if not files_to_copy: + return + + huggingface_hub.copy_files( + f"hf://buckets/{source_bucket_id}/{source_prefix}", + f"hf://buckets/{dest_bucket_id}/{kind}/", + ) + + +def upload_project_to_bucket_for_static(project: str, bucket_id: str) -> None: + if not _local_db_has_data(project): + _download_db_from_bucket(project, bucket_id) + + db_path = SQLiteStorage.get_project_db_path(project) + _export_and_upload_static( + project, + bucket_id, + db_path, + project_media_dir(project), + project_artifacts_dir(project), + ) + + +def export_from_bucket_for_static( + source_bucket_id: str, + dest_bucket_id: str, + project: str, +) -> None: + with tempfile.TemporaryDirectory() as work_dir: + work_path = Path(work_dir) + db_path = work_path / SQLiteStorage.get_project_db_filename(project) + + if not _download_db_from_bucket(project, source_bucket_id, dest_path=db_path): + raise FileNotFoundError( + f"Could not download database for project '{project}' " + f"from bucket '{source_bucket_id}'." + ) + + _export_and_upload_static(project, dest_bucket_id, db_path) + for kind in ("media", "artifacts"): + _copy_project_prefix_between_buckets( + source_bucket_id, dest_bucket_id, project, kind + ) diff --git a/trackio/cas.py b/trackio/cas.py new file mode 100644 index 0000000000000000000000000000000000000000..92f797078ae5d74a78d921ccebf1384a34314b44 --- /dev/null +++ b/trackio/cas.py @@ -0,0 +1,214 @@ +"""Content-addressed storage (CAS) helpers shared by the artifact client, +server, and storage layers. +""" + +import hashlib +import os +import re +import uuid +from collections.abc import Iterable, Iterator +from pathlib import Path + +from trackio import utils +from trackio.typehints import Sha256Digest + +SHA256_DIGEST_RE = re.compile(r"^[0-9a-f]{64}$") +ARTIFACT_VERSION_SPEC_RE = re.compile(r"^v(\d+)$") +ARTIFACT_NAME_RE = re.compile(r"^[A-Za-z0-9._-]+\Z") +HASH_CHUNK_SIZE = 1024 * 1024 +PARTIAL_BLOB_MARKER = ".partial." +PARTIAL_BLOB_GLOB = f"*{PARTIAL_BLOB_MARKER}*" + + +def partial_blob_name(base: str = "") -> str: + """Temp filename for an in-flight blob write, excluded from sync/export.""" + return f"{base}{PARTIAL_BLOB_MARKER}{uuid.uuid4().hex}" + + +def is_partial_blob(filename: str) -> bool: + return PARTIAL_BLOB_MARKER in filename + + +def validate_artifact_name(name: str) -> str: + if not isinstance(name, str) or not ARTIFACT_NAME_RE.match(name): + raise ValueError( + f"Artifact name {name!r} must match ^[A-Za-z0-9._-]+$ " + "(letters, digits, dot, underscore, hyphen)." + ) + return name + + +def validate_aliases(aliases: list[str] | None) -> list[str]: + if aliases is None: + return [] + if isinstance(aliases, str) or not isinstance(aliases, (list, tuple)): + raise ValueError( + f"aliases must be a list of strings, got {type(aliases).__name__}." + ) + validated: list[str] = [] + for alias in aliases: + if not isinstance(alias, str) or not alias: + raise ValueError(f"Alias {alias!r} must be a non-empty string.") + if not ARTIFACT_NAME_RE.match(alias): + raise ValueError( + f"Alias {alias!r} must match ^[A-Za-z0-9._-]+$ " + "(letters, digits, dot, underscore, hyphen)." + ) + if ARTIFACT_VERSION_SPEC_RE.match(alias): + raise ValueError( + f"Alias {alias!r} is reserved for version pointers (vN); " + "choose another." + ) + validated.append(alias) + return validated + + +def _project_blobs_root(project: str) -> Path: + return utils.project_artifacts_dir(project) / "blobs" / "sha256" + + +def blob_path(project: str, digest: Sha256Digest) -> Path: + return _project_blobs_root(project) / digest[:2] / digest + + +def hash_file(path: Path) -> tuple[Sha256Digest, int]: + size = path.stat().st_size + file_digest = getattr(hashlib, "file_digest", None) + if file_digest is not None: + with path.open("rb") as f: + sha = file_digest(f, "sha256") + else: + sha = hashlib.sha256() + with path.open("rb") as f: + while chunk := f.read(HASH_CHUNK_SIZE): + sha.update(chunk) + return Sha256Digest(sha.hexdigest()), size + + +def validate_logical_path(logical: str) -> str: + """Validate a manifest logical path: relative, no `.`/`..` segments, no + backslashes, no drive letters, non-empty. Returns the path unchanged. + """ + if not isinstance(logical, str) or not logical: + raise ValueError(f"Invalid artifact path: {logical!r} (must be non-empty)") + if "\\" in logical or "\x00" in logical: + raise ValueError( + f"Invalid artifact path {logical!r}: backslashes and NUL are not allowed" + ) + if logical.startswith("/") or re.match(r"^[A-Za-z]:", logical): + raise ValueError(f"Invalid artifact path {logical!r}: must be relative") + parts = logical.split("/") + if any(part in ("", ".", "..") for part in parts): + raise ValueError( + f"Invalid artifact path {logical!r}: " + "'.', '..', and empty segments are not allowed" + ) + return logical + + +def assert_manifest_paths_compatible(paths: Iterable[str]) -> None: + """Validate a manifest's logical paths as a set: reject exact duplicates and + file/directory prefix collisions. A path cannot be both a file and a + directory, so `sub` and `sub/x` (or `a/b` and `a/b/c`) cannot coexist; + siblings like `a/b` and `a/c` are fine. + """ + seen: set[str] = set() + for p in paths: + if p in seen: + raise ValueError(f"Duplicate logical path in manifest: {p!r}") + seen.add(p) + for p in seen: + parts = p.split("/") + for i in range(1, len(parts)): + ancestor = "/".join(parts[:i]) + if ancestor in seen: + raise ValueError( + f"Artifact path {p!r} collides with {ancestor!r}: a path " + "cannot be both a file and a directory in the same artifact." + ) + + +def validate_digest(digest: str) -> Sha256Digest: + """Validate that `digest` is a 64-char lowercase sha256 hex string and + return it unchanged. + """ + if not isinstance(digest, str) or not SHA256_DIGEST_RE.match(digest): + raise ValueError(f"Invalid artifact blob digest: {digest!r}") + return Sha256Digest(digest) + + +def stage_blob_from_chunks( + chunks: Iterable[bytes], + claimed_digest: Sha256Digest, + target_path: Path, +) -> None: + """Stream `chunks` to `target_path`, verifying they hash to `claimed_digest`. + No-op if `target_path` already exists (the chunks are not consumed). + """ + if target_path.is_file(): + return + target_path.parent.mkdir(parents=True, exist_ok=True) + partial = target_path.parent / partial_blob_name(target_path.name) + sha = hashlib.sha256() + try: + with partial.open("wb") as dst: + for chunk in chunks: + if not chunk: + continue + sha.update(chunk) + dst.write(chunk) + actual = sha.hexdigest() + if actual != claimed_digest: + raise ValueError( + f"Digest mismatch: claimed {claimed_digest}, computed {actual}" + ) + os.replace(partial, target_path) + except Exception: + partial.unlink(missing_ok=True) + raise + + +def stage_blob_from_file( + src_path: Path, + claimed_digest: Sha256Digest, + target_path: Path, +) -> None: + """Copy `src_path` to `target_path`, verifying it hashes to `claimed_digest`.""" + if target_path.is_file(): + return + + def _file_chunks() -> Iterator[bytes]: + with src_path.open("rb") as src: + while chunk := src.read(HASH_CHUNK_SIZE): + yield chunk + + stage_blob_from_chunks(_file_chunks(), claimed_digest, target_path) + + +def stage_blob_into_project(src_path: Path, project: str) -> tuple[Sha256Digest, int]: + """Copy `src_path` into the project's CAS in a single pass, computing its + sha256 and size while writing. Returns `(digest, size)`. If the blob is + already present, the copy is discarded. + """ + blobs_root = _project_blobs_root(project) + blobs_root.mkdir(parents=True, exist_ok=True) + partial = blobs_root / partial_blob_name() + sha = hashlib.sha256() + size = 0 + try: + with src_path.open("rb") as src, partial.open("wb") as dst: + while chunk := src.read(HASH_CHUNK_SIZE): + sha.update(chunk) + dst.write(chunk) + size += len(chunk) + digest = Sha256Digest(sha.hexdigest()) + target = blob_path(project, digest) + if target.is_file(): + partial.unlink(missing_ok=True) + return digest, size + target.parent.mkdir(parents=True, exist_ok=True) + os.replace(partial, target) + return digest, size + except Exception: + partial.unlink(missing_ok=True) + raise diff --git a/trackio/cli.py b/trackio/cli.py new file mode 100644 index 0000000000000000000000000000000000000000..460ce0d388c305301511e69909c582649d83b092 --- /dev/null +++ b/trackio/cli.py @@ -0,0 +1,2307 @@ +import argparse +import os +import re +import sys +from pathlib import Path + +import huggingface_hub + +import trackio +from trackio import freeze, show, sync +from trackio.cli_helpers import ( + error_exit, + format_alerts, + format_artifact, + format_artifacts, + format_json, + format_list, + format_metric_values, + format_project_summary, + format_query_result, + format_run_summary, + format_snapshot, + format_spaces, + format_system_metric_names, + format_system_metrics, +) +from trackio.frontend_config import ( + TRACKIO_CONFIG_PATH, + get_persisted_frontend_dir, + set_persisted_frontend_dir, + unset_persisted_frontend_dir, +) +from trackio.markdown import Markdown +from trackio.server import get_project_summary, get_run_summary +from trackio.sqlite_storage import SQLiteStorage + + +def _get_space(args): + return getattr(args, "space", None) + + +def _get_remote(args): + from trackio.remote_client import RemoteClient + + space = _get_space(args) + if not space: + return None + hf_token = getattr(args, "hf_token", None) + return RemoteClient(space, hf_token=hf_token) + + +def _handle_status(): + print("Reading local Trackio projects...\n") + projects = SQLiteStorage.get_projects() + if not projects: + print("No Trackio projects found.") + return + + local_projects = [] + synced_projects = [] + unsynced_projects = [] + + for project in projects: + space_id = SQLiteStorage.get_space_id(project) + if space_id is None: + local_projects.append(project) + elif SQLiteStorage.has_pending_data(project): + unsynced_projects.append(project) + else: + synced_projects.append(project) + + print("Finished reading Trackio projects") + if local_projects: + print(f" * {len(local_projects)} local trackio project(s) [OK]") + if synced_projects: + print(f" * {len(synced_projects)} trackio project(s) synced to Spaces [OK]") + if unsynced_projects: + print( + f" * {len(unsynced_projects)} trackio project(s) with unsynced changes [WARNING]:" + ) + for p in unsynced_projects: + print(f" - {p}") + + if unsynced_projects: + print( + f"\nRun `trackio sync --project {unsynced_projects[0]}` to sync. " + "Or run `trackio sync --all` to sync all unsynced changes." + ) + + +def _handle_sync(args): + from trackio.deploy import sync_incremental + + if args.sync_all and args.project: + error_exit("Cannot use --all and --project together.") + if not args.sync_all and not args.project: + error_exit("Must provide either --project or --all.") + + if args.sync_all: + projects = SQLiteStorage.get_projects() + synced_any = False + for project in projects: + space_id = SQLiteStorage.get_space_id(project) + if space_id and SQLiteStorage.has_pending_data(project): + sync_incremental( + project, + space_id, + private=args.private, + pending_only=True, + frontend_dir=args.frontend, + ) + synced_any = True + if not synced_any: + print("No projects with unsynced data found.") + else: + space_id = args.space_id + if space_id is None: + space_id = SQLiteStorage.get_space_id(args.project) + sync( + project=args.project, + space_id=space_id, + private=args.private, + force=args.force, + sdk=args.sdk, + frontend_dir=args.frontend, + ) + + +def _handle_config(args): + if args.config_command == "get": + frontend_dir = get_persisted_frontend_dir() + if frontend_dir is None: + print("No Trackio frontend config is set.") + print(f"Config file: {TRACKIO_CONFIG_PATH}") + return + print(f"frontend: {frontend_dir}") + print(f"config: {TRACKIO_CONFIG_PATH}") + return + + if args.config_command == "set": + try: + frontend_dir = set_persisted_frontend_dir(args.frontend) + except ValueError as e: + error_exit(str(e)) + print(f"Saved Trackio default frontend: {frontend_dir}") + print("Reset with `trackio config unset frontend`.") + return + + if args.config_command == "unset": + removed = unset_persisted_frontend_dir() + if removed: + print("Removed Trackio default frontend.") + else: + print("No Trackio default frontend was set.") + return + + +def _extract_reports( + run: str, logs: list[dict], report_name: str | None = None +) -> list[dict]: + reports = [] + for log in logs: + timestamp = log.get("timestamp") + step = log.get("step") + for key, value in log.items(): + if report_name is not None and key != report_name: + continue + if isinstance(value, dict) and value.get("_type") == Markdown.TYPE: + content = value.get("_value") + if isinstance(content, str): + reports.append( + { + "run": run, + "report": key, + "step": step, + "timestamp": timestamp, + "content": content, + } + ) + return reports + + +def _handle_query(args): + remote = _get_remote(args) + try: + if remote: + result = remote.predict(args.project, args.sql, api_name="/query_project") + else: + result = SQLiteStorage.query_project(args.project, args.sql) + except FileNotFoundError as e: + error_exit(str(e)) + except ValueError as e: + error_exit(str(e)) + + if args.json: + print(format_json(result)) + else: + print(format_query_result(result)) + + +def _datetime_to_iso(value): + return value.isoformat() if value is not None else None + + +def _space_url(space) -> str | None: + host = getattr(space, "host", None) + if host: + return host if host.startswith("http") else f"https://{host}" + + subdomain = getattr(space, "subdomain", None) + if subdomain: + return f"https://{subdomain}.hf.space" + + space_id = getattr(space, "id", None) + if not space_id: + return None + return f"https://huggingface.co/spaces/{space_id}" + + +def _serialize_space(space) -> dict: + space_id = getattr(space, "id", "") + namespace, _, name = space_id.partition("/") + return { + "id": space_id, + "namespace": namespace, + "name": name or space_id, + "author": getattr(space, "author", None) or namespace, + "private": bool(getattr(space, "private", False)), + "sdk": getattr(space, "sdk", None), + "url": _space_url(space), + "last_modified": _datetime_to_iso( + getattr(space, "last_modified", None) + or getattr(space, "lastModified", None) + ), + "created_at": _datetime_to_iso(getattr(space, "created_at", None)), + "tags": getattr(space, "tags", None) or [], + } + + +def _maybe_handle_logbook_run_argv() -> bool: + argv = sys.argv[1:] + try: + logbook_idx = argv.index("logbook") + except ValueError: + return False + if len(argv) <= logbook_idx + 1 or argv[logbook_idx + 1] != "run": + return False + + run_argv = argv[logbook_idx + 2 :] + + run_parser = argparse.ArgumentParser( + prog=f"{os.path.basename(sys.argv[0])} logbook run", + description=( + "Run a command; log the command, its scripts, and output to a page" + ), + ) + run_parser.add_argument("--page", help="Page title or slug") + run_parser.add_argument("--title", help="Cell title") + run_parser.add_argument( + "--no-artifacts", + action="store_true", + help="Do not record output model/data files as artifact cells", + ) + if "--" in run_argv: + sep = run_argv.index("--") + opts = run_parser.parse_args(run_argv[:sep]) + command = run_argv[sep + 1 :] + else: + opts, command = run_parser.parse_known_args(run_argv) + if not command: + run_parser.error("No command provided. Use: trackio logbook run -- ") + args = argparse.Namespace( + logbook_action="run", + page=opts.page, + title=opts.title, + no_artifacts=opts.no_artifacts, + command=command, + ) + _handle_logbook(args) + return True + + +def _maybe_rewrite_logbook_read_argv() -> None: + argv = sys.argv + for i in range(1, len(argv) - 1): + if argv[i] == "logbook" and argv[i + 1] == "read": + j = i + 2 + if ( + j < len(argv) + and not argv[j].startswith("-") + and argv[j] not in ("pages", "page", "cell") + ): + argv[j : j + 1] = ["--path", argv[j]] + return + + +def _trackio_space_namespaces(api, token: str | None, author: str | None) -> list[str]: + if author: + return [author] + + if not token: + error_exit( + "Log in with `huggingface-cli login`, pass `--hf-token`, or provide `--author`." + ) + + try: + whoami = api.whoami(token=token, cache=True) + except Exception as e: + error_exit(f"Failed to read Hugging Face account information: {e}") + + namespaces = [whoami["name"]] + for org in whoami.get("orgs", []): + org_name = org.get("name") if isinstance(org, dict) else org + if org_name: + namespaces.append(org_name) + + return list(dict.fromkeys(namespaces)) + + +def _handle_list_spaces(args): + if _get_space(args): + error_exit("The 'list spaces' command does not support --space.") + if args.limit is not None and args.limit < 0: + error_exit("--limit must be zero or greater.") + + token = args.hf_token or huggingface_hub.utils.get_token() + api = huggingface_hub.HfApi(token=token) + namespaces = _trackio_space_namespaces(api, token, args.author) + + spaces_by_id = {} + try: + for namespace in namespaces: + spaces = api.list_spaces( + author=namespace, + filter="trackio", + full=True, + token=token, + ) + for space in spaces: + space_id = getattr(space, "id", None) + if space_id: + spaces_by_id[space_id] = _serialize_space(space) + except Exception as e: + error_exit(f"Failed to list Trackio Spaces: {e}") + + spaces = sorted( + spaces_by_id.values(), + key=lambda space: space.get("last_modified") or "", + reverse=True, + ) + if args.limit is not None: + spaces = spaces[: args.limit] + + if args.json: + print(format_json({"spaces": spaces})) + else: + print(format_spaces(spaces)) + + +def main(): + if _maybe_handle_logbook_run_argv(): + return + _maybe_rewrite_logbook_read_argv() + + parser = argparse.ArgumentParser(description="Trackio CLI") + parser.add_argument( + "--version", + action="version", + version=f"trackio {trackio.__version__}", + ) + parser.add_argument( + "--space", + required=False, + help="HF Space ID (e.g. 'user/space') or Space URL to query remotely.", + ) + parser.add_argument( + "--hf-token", + required=False, + help="HF token for accessing private Spaces.", + ) + subparsers = parser.add_subparsers(dest="command") + + ui_parser = subparsers.add_parser( + "show", help="Show the Trackio dashboard UI for a project" + ) + ui_parser.add_argument( + "--project", required=False, help="Project name to show in the dashboard" + ) + ui_parser.add_argument( + "--theme", + required=False, + default="default", + help="A Gradio Theme to use for the dashboard instead of the default, can be a built-in theme (e.g. 'soft', 'citrus'), or a theme from the Hub (e.g. 'gstaff/xkcd').", + ) + ui_parser.add_argument( + "--mcp-server", + action="store_true", + help="Enable MCP server functionality. The Trackio dashboard will be set up as an MCP server and certain functions will be exposed as MCP tools.", + ) + ui_parser.add_argument( + "--footer", + action="store_true", + default=True, + help="Show the Gradio footer. Use --no-footer to hide it.", + ) + ui_parser.add_argument( + "--no-footer", + dest="footer", + action="store_false", + help="Hide the Gradio footer.", + ) + ui_parser.add_argument( + "--color-palette", + required=False, + help="Comma-separated list of hex color codes for plot lines (e.g. '#FF0000,#00FF00,#0000FF'). If not provided, the TRACKIO_COLOR_PALETTE environment variable will be used, or the default palette if not set.", + ) + ui_parser.add_argument( + "--host", + required=False, + help="Host to bind the server to (e.g. '0.0.0.0' for remote access). If not provided, defaults to '127.0.0.1' (localhost only).", + ) + ui_parser.add_argument( + "--frontend", + required=False, + help="Custom frontend directory to serve. Must contain index.html.", + ) + + subparsers.add_parser( + "status", + help="Show the status of all local Trackio projects, including sync status.", + ) + + sync_parser = subparsers.add_parser( + "sync", + help="Sync a local project's database to a Hugging Face Space. If the Space does not exist, it will be created.", + ) + sync_parser.add_argument( + "--project", + required=False, + help="The name of the local project.", + ) + sync_parser.add_argument( + "--space-id", + required=False, + help="The Hugging Face Space ID where the project will be synced (e.g. username/space_id). If not provided, uses the previously-configured Space.", + ) + sync_parser.add_argument( + "--all", + action="store_true", + dest="sync_all", + help="Sync all projects that have unsynced data to their configured Spaces.", + ) + sync_parser.add_argument( + "--private", + action="store_true", + help="Make the Hugging Face Space private if creating a new Space. By default, the repo will be public unless the organization's default is private. This value is ignored if the repo already exists.", + ) + sync_parser.add_argument( + "--force", + action="store_true", + help="Overwrite the existing database without prompting for confirmation.", + ) + sync_parser.add_argument( + "--sdk", + choices=["gradio", "static"], + default="gradio", + help="The type of Space to deploy. 'gradio' (default) deploys a live Gradio server. 'static' deploys a static Space that reads from an HF Bucket.", + ) + sync_parser.add_argument( + "--frontend", + required=False, + help="Custom frontend directory to deploy. Must contain index.html.", + ) + + freeze_parser = subparsers.add_parser( + "freeze", + help="Create a one-time static Space snapshot from a project's data.", + ) + freeze_parser.add_argument( + "--space-id", + required=True, + help="The source Gradio Space ID (e.g. username/space_id).", + ) + freeze_parser.add_argument( + "--project", + required=True, + help="The name of the project to freeze into a static snapshot.", + ) + freeze_parser.add_argument( + "--new-space-id", + required=False, + help="The Space ID for the new static Space. Defaults to {space_id}_static.", + ) + freeze_parser.add_argument( + "--private", + action="store_true", + help="Make the new static Space private.", + ) + freeze_parser.add_argument( + "--frontend", + required=False, + help="Custom frontend directory to deploy to the frozen static Space.", + ) + + config_parser = subparsers.add_parser( + "config", + help="Manage persistent Trackio configuration.", + ) + config_subparsers = config_parser.add_subparsers( + dest="config_command", + required=True, + ) + config_subparsers.add_parser("get", help="Show current Trackio config.") + config_set_parser = config_subparsers.add_parser( + "set", + help="Set a persistent Trackio config value.", + ) + config_set_parser.add_argument( + "key", + choices=["frontend"], + help="Config key to set.", + ) + config_set_parser.add_argument( + "frontend", + help="Frontend directory to persist.", + ) + config_unset_parser = config_subparsers.add_parser( + "unset", + help="Unset a persistent Trackio config value.", + ) + config_unset_parser.add_argument( + "key", + choices=["frontend"], + help="Config key to unset.", + ) + + list_parser = subparsers.add_parser( + "list", + help="List projects, runs, or metrics", + ) + list_subparsers = list_parser.add_subparsers(dest="list_type", required=True) + + list_projects_parser = list_subparsers.add_parser( + "projects", + help="List all projects", + ) + list_projects_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + list_spaces_parser = list_subparsers.add_parser( + "spaces", + help="List Trackio Spaces for your Hugging Face account and organizations", + ) + list_spaces_parser.add_argument( + "--author", + required=False, + help="Only list Trackio Spaces under this user or organization namespace.", + ) + list_spaces_parser.add_argument( + "--limit", + type=int, + required=False, + help="Maximum number of Spaces to return.", + ) + list_spaces_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + list_runs_parser = list_subparsers.add_parser( + "runs", + help="List runs for a project", + ) + list_runs_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + list_runs_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + list_metrics_parser = list_subparsers.add_parser( + "metrics", + help="List metrics for a run", + ) + list_metrics_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + list_metrics_parser.add_argument( + "--run", + required=True, + help="Run name", + ) + list_metrics_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + list_system_metrics_parser = list_subparsers.add_parser( + "system-metrics", + help="List system metrics for a run", + ) + list_system_metrics_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + list_system_metrics_parser.add_argument( + "--run", + required=True, + help="Run name", + ) + list_system_metrics_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + list_alerts_parser = list_subparsers.add_parser( + "alerts", + help="List alerts for a project or run", + ) + list_alerts_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + list_alerts_parser.add_argument( + "--run", + required=False, + help="Run name (optional)", + ) + list_alerts_parser.add_argument( + "--level", + required=False, + help="Filter by alert level (info, warn, error)", + ) + list_alerts_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + list_alerts_parser.add_argument( + "--since", + required=False, + help="Only show alerts after this ISO 8601 timestamp", + ) + + list_reports_parser = list_subparsers.add_parser( + "reports", + help="List markdown reports for a project or run", + ) + list_reports_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + list_reports_parser.add_argument( + "--run", + required=False, + help="Run name (optional)", + ) + list_reports_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + list_artifacts_parser = list_subparsers.add_parser( + "artifacts", + help="List artifacts for a project", + ) + list_artifacts_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + list_artifacts_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + get_parser = subparsers.add_parser( + "get", + help="Get project, run, or metric information", + ) + get_subparsers = get_parser.add_subparsers(dest="get_type", required=True) + + get_project_parser = get_subparsers.add_parser( + "project", + help="Get project summary", + ) + get_project_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + get_project_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + get_run_parser = get_subparsers.add_parser( + "run", + help="Get run summary", + ) + get_run_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + get_run_parser.add_argument( + "--run", + required=True, + help="Run name", + ) + get_run_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + get_artifact_parser = get_subparsers.add_parser( + "artifact", + help="Get an artifact version (manifest, aliases, metadata)", + ) + get_artifact_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + get_artifact_parser.add_argument( + "--name", + required=True, + help="Artifact name", + ) + get_artifact_parser.add_argument( + "--version", + required=False, + help="Version or alias to resolve (e.g. 'v2' or 'best'). Defaults to latest.", + ) + get_artifact_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + get_metric_parser = get_subparsers.add_parser( + "metric", + help="Get metric values for a run", + ) + get_metric_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + get_metric_parser.add_argument( + "--run", + required=True, + help="Run name", + ) + get_metric_parser.add_argument( + "--metric", + required=True, + help="Metric name", + ) + get_metric_parser.add_argument( + "--step", + type=int, + required=False, + help="Get metric at exactly this step", + ) + get_metric_parser.add_argument( + "--around", + type=int, + required=False, + help="Get metrics around this step (use with --window)", + ) + get_metric_parser.add_argument( + "--at-time", + required=False, + help="Get metrics around this ISO 8601 timestamp (use with --window)", + ) + get_metric_parser.add_argument( + "--window", + type=int, + required=False, + default=10, + help="Window size: ±steps for --around, ±seconds for --at-time (default: 10)", + ) + get_metric_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + get_snapshot_parser = get_subparsers.add_parser( + "snapshot", + help="Get all metrics at/around a step or timestamp", + ) + get_snapshot_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + get_snapshot_parser.add_argument( + "--run", + required=True, + help="Run name", + ) + get_snapshot_parser.add_argument( + "--step", + type=int, + required=False, + help="Get all metrics at exactly this step", + ) + get_snapshot_parser.add_argument( + "--around", + type=int, + required=False, + help="Get all metrics around this step (use with --window)", + ) + get_snapshot_parser.add_argument( + "--at-time", + required=False, + help="Get all metrics around this ISO 8601 timestamp (use with --window)", + ) + get_snapshot_parser.add_argument( + "--window", + type=int, + required=False, + default=10, + help="Window size: ±steps for --around, ±seconds for --at-time (default: 10)", + ) + get_snapshot_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + get_system_metric_parser = get_subparsers.add_parser( + "system-metric", + help="Get system metric values for a run", + ) + get_system_metric_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + get_system_metric_parser.add_argument( + "--run", + required=True, + help="Run name", + ) + get_system_metric_parser.add_argument( + "--metric", + required=False, + help="System metric name (optional, if not provided returns all system metrics)", + ) + get_system_metric_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + get_alerts_parser = get_subparsers.add_parser( + "alerts", + help="Get alerts for a project or run", + ) + get_alerts_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + get_alerts_parser.add_argument( + "--run", + required=False, + help="Run name (optional)", + ) + get_alerts_parser.add_argument( + "--level", + required=False, + help="Filter by alert level (info, warn, error)", + ) + get_alerts_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + get_alerts_parser.add_argument( + "--since", + required=False, + help="Only show alerts after this ISO 8601 timestamp", + ) + + get_report_parser = get_subparsers.add_parser( + "report", + help="Get markdown report entries for a run", + ) + get_report_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + get_report_parser.add_argument( + "--run", + required=True, + help="Run name", + ) + get_report_parser.add_argument( + "--report", + required=True, + help="Report metric name", + ) + get_report_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + query_parser = subparsers.add_parser( + "query", + help="Run a read-only SQL query against a project database", + ) + query_subparsers = query_parser.add_subparsers(dest="query_type", required=True) + query_project_parser = query_subparsers.add_parser( + "project", + help="Run a read-only SQL query against a project's SQLite database", + ) + query_project_parser.add_argument( + "--project", + required=True, + help="Project name", + ) + query_project_parser.add_argument( + "--sql", + required=True, + help="Read-only SQL query to execute", + ) + query_project_parser.add_argument( + "--json", + action="store_true", + help="Output in JSON format", + ) + + skills_parser = subparsers.add_parser( + "skills", + help="Manage Trackio skills for AI coding assistants", + ) + skills_subparsers = skills_parser.add_subparsers( + dest="skills_action", required=True + ) + skills_add_parser = skills_subparsers.add_parser( + "add", + help=( + "Install the Trackio skill to the central .agents/skills location; " + "pass agent flags to also symlink it for specific assistants" + ), + ) + skills_add_parser.add_argument( + "--cursor", + action="store_true", + help="Install for Cursor", + ) + skills_add_parser.add_argument( + "--claude", + action="store_true", + help="Install for Claude Code", + ) + skills_add_parser.add_argument( + "--codex", + action="store_true", + help="Install for Codex", + ) + skills_add_parser.add_argument( + "--opencode", + action="store_true", + help="Install for OpenCode", + ) + skills_add_parser.add_argument( + "--pi", + action="store_true", + help="Install for pi", + ) + skills_add_parser.add_argument( + "--global", + dest="global_", + action="store_true", + help="Install globally (user-level) instead of in the current project directory", + ) + skills_add_parser.add_argument( + "--dest", + type=str, + required=False, + help="Install into a custom destination (path to skills directory)", + ) + skills_add_parser.add_argument( + "--force", + action="store_true", + help="Overwrite existing skill if it already exists", + ) + skills_add_parser.add_argument( + "--no-command", + dest="no_command", + action="store_true", + help="Do not install the /logbook slash command alongside the skill", + ) + skills_add_parser.add_argument( + "--no-hook", + dest="no_hook", + action="store_true", + help="Do not install the Claude Code hook that mirrors todos into the logbook", + ) + + logbook_parser = subparsers.add_parser( + "logbook", + help="Create and publish a shareable experiment logbook", + ) + logbook_sub = logbook_parser.add_subparsers( + dest="logbook_action", + required=True, + metavar="{open,cell,run,page,read,serve,publish,sync}", + ) + + lb_open = logbook_sub.add_parser( + "open", help="Start or attach to the logbook in this directory" + ) + lb_open.add_argument( + "space_id", nargs="?", help="Optional HF Space id to publish to" + ) + lb_open.add_argument("--title", help="Logbook title (only when creating)") + lb_open.add_argument( + "--no-serve", + action="store_true", + help="Open or attach without launching the local logbook preview", + ) + lb_open.add_argument("--port", type=int, default=7861) + lb_open.add_argument("--no-browser", action="store_true") + + lb_cell = logbook_sub.add_parser( + "cell", help="Append a typed notebook-style cell to a logbook page" + ) + lb_cell_sub = lb_cell.add_subparsers(dest="cell_type", required=True) + + lb_cell_md = lb_cell_sub.add_parser("markdown", help="Append a markdown cell") + lb_cell_md.add_argument( + "body", + help="Markdown body (literal \\n escape sequences are converted to line breaks)", + ) + lb_cell_md.add_argument("--title", help="Cell title") + lb_cell_md.add_argument("--page", help="Page title or slug") + lb_cell_art = lb_cell_sub.add_parser( + "artifact", help="Append an artifact cell referencing a Trackio artifact" + ) + lb_cell_art.add_argument("name", help="Artifact reference project/name:vN") + lb_cell_art.add_argument("--title", help="Cell title") + lb_cell_art.add_argument("--page", help="Page title or slug") + lb_cell_art.add_argument( + "--type", + dest="artifact_type", + help='Artifact type, e.g. "dataset" or "model"', + ) + + lb_cell_code = lb_cell_sub.add_parser("code", help="Append a code cell") + lb_cell_code.add_argument("--title", help="Cell title") + lb_cell_code.add_argument("--page", help="Page title or slug") + lb_cell_code.add_argument( + "--code", action="append", default=[], help="Path to code/config to include" + ) + lb_cell_code.add_argument("--code-text", help="Inline code to include") + lb_cell_code.add_argument("--language", help="Language for --code-text") + lb_cell_code.add_argument("--output", required=True, help="Output text") + + lb_cell_figure = lb_cell_sub.add_parser("figure", help="Append a figure cell") + lb_cell_figure.add_argument("--title", help="Cell title") + lb_cell_figure.add_argument("--page", help="Page title or slug") + lb_cell_figure.add_argument( + "--html", help="Path to an HTML or image file, or inline HTML text" + ) + lb_cell_figure.add_argument("--html-text", help="Inline HTML text") + lb_cell_figure.add_argument( + "--image", help="Path to an image file (PNG, JPG, GIF, WEBP, SVG, ...)" + ) + lb_cell_figure.add_argument("--raw", help="Path/URL/text for raw data") + lb_cell_figure.add_argument("--raw-text", help="Inline raw data") + + lb_cell_dash = lb_cell_sub.add_parser( + "dashboard", help="Embed a Trackio dashboard for a project" + ) + lb_cell_dash.add_argument("project", help="Trackio project name") + lb_cell_dash.add_argument( + "--space", + dest="space_id", + help="HF Space id (owner/name) hosting the dashboard", + ) + lb_cell_dash.add_argument("--title", help="Cell title") + lb_cell_dash.add_argument("--page", help="Page title or slug") + + lb_run = logbook_sub.add_parser( + "run", + help="Run a command; log the command, its scripts, and output to a page", + ) + lb_run.add_argument("--page", help="Page title or slug") + lb_run.add_argument("--title", help="Cell title") + lb_run.add_argument( + "--no-artifacts", + action="store_true", + help="Do not record output model/data files as artifact cells", + ) + lb_run.add_argument("command", nargs="*") + + lb_page = logbook_sub.add_parser( + "page", help="Create or select a page and make it the default target" + ) + lb_page.add_argument("title", help="Page title") + + lb_read = logbook_sub.add_parser( + "read", help="Read logbook pages/cells in an agent-friendly form" + ) + lb_read.add_argument( + "--path", + help=( + "Logbook to read: local path, HF Space id, or URL " + "(can also be passed positionally: trackio logbook read )" + ), + ) + lb_read.add_argument("--json", action="store_true", help="Output JSON") + lb_read.add_argument( + "--head", + type=int, + default=None, + help="Lines of code shown per code cell (default 3; 0 hides code)", + ) + lb_read.add_argument( + "--tail", + type=int, + default=None, + help="Lines of output shown per code cell (default 3; 0 hides output)", + ) + lb_read.add_argument( + "--raw-limit", + type=int, + default=None, + help="Inline figure raw data up to this many chars (default 500; 0 disables)", + ) + lb_read_sub = lb_read.add_subparsers(dest="read_target") + lb_read_pages = lb_read_sub.add_parser("pages", help="List logbook pages") + lb_read_pages.add_argument("--json", action="store_true", help="Output JSON") + lb_read_page = lb_read_sub.add_parser("page", help="Read a page for agents") + lb_read_page.add_argument("page", nargs="?", help="Page title or slug") + lb_read_page.add_argument("--json", action="store_true", help="Output JSON") + lb_read_page.add_argument( + "--head", type=int, default=argparse.SUPPRESS, help="Code lines per code cell" + ) + lb_read_page.add_argument( + "--tail", type=int, default=argparse.SUPPRESS, help="Output lines per code cell" + ) + lb_read_page.add_argument( + "--raw-limit", + type=int, + default=argparse.SUPPRESS, + help="Inline figure raw data up to this many chars", + ) + lb_read_cell = lb_read_sub.add_parser("cell", help="Read one cell by id") + lb_read_cell.add_argument("cell_id", help="Cell id") + lb_read_cell.add_argument("--json", action="store_true", help="Output JSON") + lb_read_cell.add_argument("--full", action="store_true", help="Include full body") + lb_read_cell.add_argument( + "--raw", action="store_true", help="Include figure raw data" + ) + lb_read_cell.add_argument("--html", action="store_true", help="Include figure HTML") + + lb_serve = logbook_sub.add_parser("serve", help="Preview the logbook locally") + lb_serve.add_argument("path", nargs="?", help="Logbook workspace/path to serve") + lb_serve.add_argument("--port", type=int, default=7861) + lb_serve.add_argument("--no-browser", action="store_true") + + lb_pub = logbook_sub.add_parser( + "publish", help="Publish to a static HF Space (first publish enables auto-sync)" + ) + lb_pub.add_argument("space_id", nargs="?", help="HF Space id (username/space)") + lb_pub.add_argument( + "--private", + action="store_true", + help="Make the logbook and any promoted dashboards/buckets private", + ) + + lb_pin = logbook_sub.add_parser( + "pin", + help="Pin (or unpin) a cell so it surfaces on the logbook intro", + ) + lb_pin.add_argument( + "cell_id", + nargs="?", + help="Cell id to pin (default: the most recent cell on the target page)", + ) + lb_pin.add_argument( + "--page", + help="Page title or slug to scope the search / pick the last cell from", + ) + lb_pin.add_argument( + "--unpin", action="store_true", help="Unpin the cell instead of pinning it" + ) + + logbook_sub.add_parser( + "sync", help="Push local edits to the Space now (after the first publish)" + ) + + logbook_sub.add_parser("_sync") + logbook_sub.add_parser("sync-todos") + + args, unknown_args = parser.parse_known_args() + if unknown_args: + trailing_global_parser = argparse.ArgumentParser(add_help=False) + trailing_global_parser.add_argument("--space", required=False) + trailing_global_parser.add_argument("--hf-token", required=False) + trailing_globals, remaining_unknown = trailing_global_parser.parse_known_args( + unknown_args + ) + if remaining_unknown: + parser.error(f"unrecognized arguments: {' '.join(remaining_unknown)}") + if trailing_globals.space is not None: + args.space = trailing_globals.space + if trailing_globals.hf_token is not None: + args.hf_token = trailing_globals.hf_token + + if args.command in ("show", "status", "sync", "freeze", "skills") and _get_space( + args + ): + error_exit( + f"The '{args.command}' command does not support --space (remote mode)." + ) + + if args.command == "show": + color_palette = None + if args.color_palette: + color_palette = [color.strip() for color in args.color_palette.split(",")] + show( + project=args.project, + theme=args.theme, + mcp_server=args.mcp_server, + footer=args.footer, + color_palette=color_palette, + host=args.host, + frontend_dir=args.frontend, + ) + elif args.command == "status": + _handle_status() + elif args.command == "sync": + _handle_sync(args) + elif args.command == "freeze": + freeze( + space_id=args.space_id, + project=args.project, + new_space_id=args.new_space_id, + private=args.private, + frontend_dir=args.frontend, + ) + elif args.command == "config": + _handle_config(args) + elif args.command == "list": + if args.list_type == "spaces": + _handle_list_spaces(args) + return + + remote = _get_remote(args) + if args.list_type == "projects": + if remote: + projects = remote.predict(api_name="/get_all_projects") + else: + projects = SQLiteStorage.get_projects() + if args.json: + print(format_json({"projects": projects})) + else: + print(format_list(projects, "Projects")) + elif args.list_type == "runs": + if remote: + run_records = remote.predict( + args.project, api_name="/get_runs_for_project" + ) + runs = [r["name"] if isinstance(r, dict) else r for r in run_records] + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.json: + print(format_json({"project": args.project, "runs": runs})) + else: + print(format_list(runs, f"Runs in '{args.project}'")) + elif args.list_type == "metrics": + if remote: + metrics = remote.predict( + args.project, args.run, api_name="/get_metrics_for_run" + ) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.run not in runs: + error_exit( + f"Run '{args.run}' not found in project '{args.project}'." + ) + metrics = SQLiteStorage.get_all_metrics_for_run(args.project, args.run) + if args.json: + print( + format_json( + {"project": args.project, "run": args.run, "metrics": metrics} + ) + ) + else: + print( + format_list( + metrics, f"Metrics for '{args.run}' in '{args.project}'" + ) + ) + elif args.list_type == "system-metrics": + if remote: + system_metrics = remote.predict( + args.project, args.run, api_name="/get_system_metrics_for_run" + ) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.run not in runs: + error_exit( + f"Run '{args.run}' not found in project '{args.project}'." + ) + system_metrics = SQLiteStorage.get_all_system_metrics_for_run( + args.project, args.run + ) + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "system_metrics": system_metrics, + } + ) + ) + else: + print(format_system_metric_names(system_metrics)) + elif args.list_type == "alerts": + if remote: + alerts = remote.predict( + args.project, + args.run, + args.level, + args.since, + api_name="/get_alerts", + ) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + alerts = SQLiteStorage.get_alerts( + args.project, + run_name=args.run, + level=args.level, + since=args.since, + ) + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "level": args.level, + "since": args.since, + "alerts": alerts, + } + ) + ) + else: + print(format_alerts(alerts)) + elif args.list_type == "reports": + if remote: + run_records = remote.predict( + args.project, api_name="/get_runs_for_project" + ) + runs = [r["name"] if isinstance(r, dict) else r for r in run_records] + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.run and args.run not in runs: + error_exit(f"Run '{args.run}' not found in project '{args.project}'.") + + target_runs = [args.run] if args.run else runs + all_reports = [] + for run_name in target_runs: + if remote: + logs = remote.predict(args.project, run_name, api_name="/get_logs") + else: + logs = SQLiteStorage.get_logs(args.project, run_name) + all_reports.extend(_extract_reports(run_name, logs)) + + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "reports": all_reports, + } + ) + ) + else: + report_lines = [ + f"{entry['run']} | {entry['report']} | step={entry['step']} | {entry['timestamp']}" + for entry in all_reports + ] + if args.run: + print( + format_list( + report_lines, + f"Reports for '{args.run}' in '{args.project}'", + ) + ) + else: + print(format_list(report_lines, f"Reports in '{args.project}'")) + elif args.list_type == "artifacts": + if remote: + artifacts = remote.predict(args.project, api_name="/get_artifacts") + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + artifacts = SQLiteStorage.get_artifacts(args.project) + if args.json: + print(format_json({"project": args.project, "artifacts": artifacts})) + else: + print(format_artifacts(artifacts, args.project)) + elif args.command == "get": + remote = _get_remote(args) + if args.get_type == "artifact": + if remote: + record = remote.predict( + args.project, + args.name, + args.version, + api_name="/get_artifact_manifest", + ) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + record = SQLiteStorage.get_artifact_manifest( + args.project, args.name, args.version + ) + if record is None: + spec = f":{args.version}" if args.version else "" + error_exit( + f"Artifact '{args.name}{spec}' not found in project " + f"'{args.project}'." + ) + if args.json: + print(format_json(record)) + else: + print(format_artifact(record)) + elif args.get_type == "project": + if remote: + summary = remote.predict(args.project, api_name="/get_project_summary") + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + summary = get_project_summary(args.project) + if args.json: + print(format_json(summary)) + else: + print(format_project_summary(summary)) + elif args.get_type == "run": + if remote: + summary = remote.predict( + args.project, args.run, api_name="/get_run_summary" + ) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.run not in runs: + error_exit( + f"Run '{args.run}' not found in project '{args.project}'." + ) + summary = get_run_summary(args.project, args.run) + if args.json: + print(format_json(summary)) + else: + print(format_run_summary(summary)) + elif args.get_type == "metric": + at_time = getattr(args, "at_time", None) + if remote: + values = remote.predict( + args.project, + args.run, + args.metric, + args.step, + args.around, + at_time, + args.window, + api_name="/get_metric_values", + ) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.run not in runs: + error_exit( + f"Run '{args.run}' not found in project '{args.project}'." + ) + metrics = SQLiteStorage.get_all_metrics_for_run(args.project, args.run) + if args.metric not in metrics: + error_exit( + f"Metric '{args.metric}' not found in run '{args.run}' of project '{args.project}'." + ) + values = SQLiteStorage.get_metric_values( + args.project, + args.run, + args.metric, + step=args.step, + around_step=args.around, + at_time=at_time, + window=args.window, + ) + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "metric": args.metric, + "values": values, + } + ) + ) + else: + print(format_metric_values(values)) + elif args.get_type == "snapshot": + if not args.step and not args.around and not getattr(args, "at_time", None): + error_exit( + "Provide --step, --around (with --window), or --at-time (with --window)." + ) + at_time = getattr(args, "at_time", None) + if remote: + snapshot = remote.predict( + args.project, + args.run, + args.step, + args.around, + at_time, + args.window, + api_name="/get_snapshot", + ) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.run not in runs: + error_exit( + f"Run '{args.run}' not found in project '{args.project}'." + ) + snapshot = SQLiteStorage.get_snapshot( + args.project, + args.run, + step=args.step, + around_step=args.around, + at_time=at_time, + window=args.window, + ) + if args.json: + result = { + "project": args.project, + "run": args.run, + "metrics": snapshot, + } + if args.step is not None: + result["step"] = args.step + if args.around is not None: + result["around"] = args.around + result["window"] = args.window + if at_time is not None: + result["at_time"] = at_time + result["window"] = args.window + print(format_json(result)) + else: + print(format_snapshot(snapshot)) + elif args.get_type == "system-metric": + if remote: + system_metrics = remote.predict( + args.project, args.run, api_name="/get_system_logs" + ) + if args.metric: + all_system_metric_names = remote.predict( + args.project, + args.run, + api_name="/get_system_metrics_for_run", + ) + if args.metric not in all_system_metric_names: + error_exit( + f"System metric '{args.metric}' not found in run '{args.run}' of project '{args.project}'." + ) + filtered_metrics = [ + { + k: v + for k, v in entry.items() + if k == "timestamp" or k == args.metric + } + for entry in system_metrics + if args.metric in entry + ] + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "metric": args.metric, + "values": filtered_metrics, + } + ) + ) + else: + print(format_system_metrics(filtered_metrics)) + else: + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "system_metrics": system_metrics, + } + ) + ) + else: + print(format_system_metrics(system_metrics)) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.run not in runs: + error_exit( + f"Run '{args.run}' not found in project '{args.project}'." + ) + if args.metric: + system_metrics = SQLiteStorage.get_system_logs( + args.project, args.run + ) + all_system_metric_names = ( + SQLiteStorage.get_all_system_metrics_for_run( + args.project, args.run + ) + ) + if args.metric not in all_system_metric_names: + error_exit( + f"System metric '{args.metric}' not found in run '{args.run}' of project '{args.project}'." + ) + filtered_metrics = [ + { + k: v + for k, v in entry.items() + if k == "timestamp" or k == args.metric + } + for entry in system_metrics + if args.metric in entry + ] + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "metric": args.metric, + "values": filtered_metrics, + } + ) + ) + else: + print(format_system_metrics(filtered_metrics)) + else: + system_metrics = SQLiteStorage.get_system_logs( + args.project, args.run + ) + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "system_metrics": system_metrics, + } + ) + ) + else: + print(format_system_metrics(system_metrics)) + elif args.get_type == "alerts": + if remote: + alerts = remote.predict( + args.project, + args.run, + args.level, + args.since, + api_name="/get_alerts", + ) + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + alerts = SQLiteStorage.get_alerts( + args.project, + run_name=args.run, + level=args.level, + since=args.since, + ) + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "level": args.level, + "since": args.since, + "alerts": alerts, + } + ) + ) + else: + print(format_alerts(alerts)) + elif args.get_type == "report": + if remote: + logs = remote.predict(args.project, args.run, api_name="/get_logs") + else: + db_path = SQLiteStorage.get_project_db_path(args.project) + if not db_path.exists(): + error_exit(f"Project '{args.project}' not found.") + runs = SQLiteStorage.get_runs(args.project) + if args.run not in runs: + error_exit( + f"Run '{args.run}' not found in project '{args.project}'." + ) + logs = SQLiteStorage.get_logs(args.project, args.run) + + reports = _extract_reports(args.run, logs, report_name=args.report) + if not reports: + error_exit( + f"Report '{args.report}' not found in run '{args.run}' of project '{args.project}'." + ) + + if args.json: + print( + format_json( + { + "project": args.project, + "run": args.run, + "report": args.report, + "values": reports, + } + ) + ) + else: + output = [] + for idx, entry in enumerate(reports, start=1): + output.append( + f"Entry {idx} | step={entry['step']} | timestamp={entry['timestamp']}" + ) + output.append(entry["content"]) + if idx < len(reports): + output.append("-" * 80) + print("\n".join(output)) + elif args.command == "query": + if args.query_type == "project": + _handle_query(args) + elif args.command == "skills": + if args.skills_action == "add": + _handle_skills_add(args) + elif args.command == "logbook": + _handle_logbook(args) + else: + parser.print_help() + + +def _sync_suffix(lb, proj): + if lb.is_autosync(proj): + space = lb.read_metadata(proj).get("space_id") + return f" · syncing to {space}…" + return "" + + +def _logbook_cell_target(lb, proj, args): + return lb.resolve_page(proj, getattr(args, "page", None)) + + +def _print_logbook_pages(pages): + if not pages: + print("No pages.") + return + print("Pages:") + for page in pages: + count = page["cell_count"] + print( + f"- {page['slug']} · {page['title']} · " + f"{count} cell{'' if count == 1 else 's'}" + ) + + +def _print_logbook_page_outline(page): + print(f"Page: {page['title']} ({page['slug']})") + if not page["cells"]: + print("No cells.") + return + for cell in page["cells"]: + created = ( + f" · {cell['created_at'].replace('T', ' ')[:16]}" + if cell.get("created_at") + else "" + ) + print(f"\n### {cell['title']} · {cell['type']} · {cell['id']}{created}") + if cell.get("preview"): + print(cell["preview"].rstrip()) + print( + "\nFetch full payloads with: trackio logbook read cell " + "[--full|--raw|--html]" + ) + + +def _print_logbook_cell(cell): + print(f"Cell: {cell['title']} ({cell['id']})") + print(f"Page: {cell['page_title']} ({cell['page']})") + print(f"Type: {cell['type']}") + if cell.get("created_at"): + print(f"Created: {cell['created_at']}") + content_keys = [key for key in ("body", "raw", "html") if key in cell] + if not content_keys: + if cell["type"] == "code": + print("\nBody omitted. Use --full to include code/output.") + elif cell["type"] == "figure": + print("\nFigure content omitted. Use --raw, --html, or --full.") + return + for key in content_keys: + label = key.upper() + print(f"\n--- {label} ---\n") + print(cell[key]) + + +def _read_logbook_payload(path_or_text, inline_text): + if inline_text is not None: + return inline_text + if not path_or_text: + return "" + path = Path(path_or_text) + if path.is_file(): + return path.read_text(encoding="utf-8") + return path_or_text + + +def _handle_logbook(args): + from trackio import logbook as lb + + action = args.logbook_action + try: + if action == "open": + print("Warning: Trackio Logbook is an experimental feature.") + proj = lb.find_project_dir() + if proj is not None: + if args.space_id: + metadata = lb.read_metadata(proj) + metadata["space_id"] = args.space_id + lb.write_metadata(proj, metadata) + print(f"Attached to existing logbook at {lb.logbook_root(proj)}") + if args.title: + print( + "Note: --title was ignored because this logbook already " + "exists. To retitle it, edit the '# ...' heading in " + f"{lb.logbook_root(proj) / 'pages' / 'index.md'}." + ) + elif args.space_id: + proj = lb.clone_logbook(args.space_id) + if proj is not None: + print( + f"Cloned logbook from {args.space_id} into " + f"{lb.logbook_root(proj)}" + ) + if proj is None: + proj = lb.create_logbook( + args.title or os.path.basename(os.getcwd()), space_id=args.space_id + ) + print(f"Opened logbook at {lb.logbook_root(proj)}") + if args.space_id: + print(f"Will publish to: {args.space_id}") + if not args.no_serve: + lb.start_preview(proj, port=args.port, open_browser=not args.no_browser) + elif action == "run": + proj = lb.require_project_dir() + command = list(args.command or []) + if command and command[0] == "--": + command = command[1:] + if not command: + error_exit("No command provided. Use: trackio logbook run -- ") + rc = lb.run_and_log( + proj, + command, + page=args.page, + title=args.title, + capture_artifacts=not getattr(args, "no_artifacts", False), + ) + slug = lb.read_metadata(proj).get("last_page", "?") + print(f"Logged run to page '{slug}'.{_sync_suffix(lb, proj)}") + sys.exit(rc) + elif action == "cell": + proj = lb.require_project_dir() + slug = _logbook_cell_target(lb, proj, args) + if args.cell_type == "markdown": + # Agent/tool callers often send a single argument containing + # escaped newlines. Treat those as Markdown line breaks while + # preserving normal shell-provided newlines unchanged. + body = args.body.replace("\\r\\n", "\n").replace("\\n", "\n") + lb.add_markdown_cell(proj, slug, body, title=args.title) + elif args.cell_type == "artifact": + lb.add_artifact_cell( + proj, + slug, + args.name, + title=args.title, + artifact_type=args.artifact_type, + ) + elif args.cell_type == "code": + lb.add_code_cell( + proj, + slug, + args.output, + title=args.title, + code_paths=args.code, + code_text=args.code_text, + language=args.language, + ) + elif args.cell_type == "figure": + if args.image: + html = lb.figure_html_from_image(args.image) + elif ( + args.html + and args.html_text is None + and Path(args.html).is_file() + and lb.is_figure_image_path(args.html) + ): + # `--html plot.png` — embed the image instead of trying to + # read a binary file as UTF-8 text. + html = lb.figure_html_from_image(args.html) + else: + html = _read_logbook_payload(args.html, args.html_text) + raw = _read_logbook_payload(args.raw, args.raw_text) + lb.add_figure_cell( + proj, + slug, + html=html, + raw=raw, + title=args.title, + ) + elif args.cell_type == "dashboard": + lb.add_dashboard_cell( + proj, + slug, + args.project, + space_id=args.space_id, + title=args.title, + ) + print( + f"Logged {args.cell_type} cell to page " + f"'{slug}'.{_sync_suffix(lb, proj)}" + ) + lb.trigger_autosync(proj) + elif action == "page": + proj = lb.require_project_dir() + page_slug = lb.ensure_page(proj, args.title) + print(f"Selected page '{page_slug}' as default.{_sync_suffix(lb, proj)}") + lb.trigger_autosync(proj) + elif action == "pin": + proj = lb.require_project_dir() + cell_id = args.cell_id or lb.last_cell_id(proj, page=args.page) + if not cell_id: + error_exit( + "No cell to pin. Pass a cell id, or add a cell first " + "(optionally scope with --page)." + ) + res = lb.set_cell_pinned( + proj, cell_id, pinned=not args.unpin, page=args.page + ) + verb = "Unpinned" if args.unpin else "Pinned" + print( + f"{verb} cell {cell_id} on page " + f"'{res['page']}'.{_sync_suffix(lb, proj)}" + ) + lb.trigger_autosync(proj) + elif action == "read": + proj = lb.resolve_read_source(args.path) + preview_opts = { + "head": lb.DEFAULT_HEAD + if getattr(args, "head", None) is None + else args.head, + "tail": lb.DEFAULT_TAIL + if getattr(args, "tail", None) is None + else args.tail, + "raw_limit": lb.DEFAULT_RAW_LIMIT + if getattr(args, "raw_limit", None) is None + else args.raw_limit, + } + if args.read_target is None: + if args.json: + print(format_json(lb.read_logbook_data(proj, **preview_opts))) + else: + print(lb.read_logbook(proj, **preview_opts)) + elif args.read_target == "pages": + pages = lb.list_pages(proj) + if args.json: + print(format_json({"pages": pages})) + else: + _print_logbook_pages(pages) + elif args.read_target == "page": + page = lb.read_page_outline(proj, args.page, **preview_opts) + if args.json: + print(format_json(page)) + else: + _print_logbook_page_outline(page) + elif args.read_target == "cell": + cell = lb.read_cell( + proj, + args.cell_id, + include_full=args.full, + include_raw=args.raw, + include_html=args.html, + ) + if args.json: + print(format_json(cell)) + else: + _print_logbook_cell(cell) + elif action == "_sync": + lb.sync_worker() + elif action == "sync-todos": + lb.sync_todos_from_stdin() + elif action == "serve": + lb.serve(path=args.path, port=args.port, open_browser=not args.no_browser) + elif action == "publish": + url = lb.publish(space_id=args.space_id, private=args.private) + print(f"Published: {url}") + space_id = lb.read_metadata(lb.require_project_dir()).get("space_id") + if space_id: + subdomain = re.sub(r"[^a-z0-9]+", "-", space_id.lower()).strip("-") + print(f"Rendered at: https://{subdomain}.static.hf.space/") + elif action == "sync": + proj = lb.require_project_dir() + if not lb.is_autosync(proj): + error_exit("Publish first: trackio logbook publish ") + lb.trigger_autosync(proj) + print(f"Syncing to {lb.read_metadata(proj).get('space_id')}…") + except lb.LogbookError as e: + error_exit(str(e)) + + +def _handle_skills_add(args): + import shutil + from pathlib import Path + + CENTRAL_LOCAL = Path(".agents/skills") + CENTRAL_GLOBAL = Path("~/.agents/skills") + CLAUDE_LOCAL = Path(".claude/skills") + CLAUDE_GLOBAL = Path("~/.claude/skills") + + SKILL_ID = "trackio" + GITHUB_RAW = "https://raw.githubusercontent.com/gradio-app/trackio/main" + SKILL_PREFIX = ".agents/skills/trackio" + SKILL_FILES = [ + "SKILL.md", + "alerts.md", + "logging_metrics.md", + "retrieving_metrics.md", + "storage_schema.md", + "logbook.md", + ] + COMMAND_PREFIX = ".agents/commands" + COMMAND_FILE = "logbook.md" + + REPO_ROOT = Path(__file__).resolve().parent.parent + USE_LOCAL = (REPO_ROOT / SKILL_PREFIX / "SKILL.md").is_file() + + if USE_LOCAL: + print(f"Using local Trackio source at {REPO_ROOT}") + + def download(url: str) -> str: + from huggingface_hub.utils import get_session + + try: + response = get_session().get(url) + response.raise_for_status() + except Exception as e: + error_exit( + f"Failed to download {url}\n{e}\n\n" + "Make sure you have internet access. The skill files are fetched from " + "the Trackio GitHub repository." + ) + return response.text + + def get_content(prefix: str, fname: str) -> str: + if USE_LOCAL: + local = REPO_ROOT / prefix / fname + if local.is_file(): + return local.read_text(encoding="utf-8") + return download(f"{GITHUB_RAW}/{prefix}/{fname}") + + def remove_existing(path: Path, force: bool): + if not (path.exists() or path.is_symlink()): + return + if not force: + error_exit( + f"Skill already exists at {path}.\nRe-run with --force to overwrite." + ) + if path.is_dir() and not path.is_symlink(): + shutil.rmtree(path) + else: + path.unlink() + + def install_to(skills_dir: Path, force: bool) -> Path: + skills_dir = skills_dir.expanduser().resolve() + skills_dir.mkdir(parents=True, exist_ok=True) + dest = skills_dir / SKILL_ID + remove_existing(dest, force) + dest.mkdir() + for fname in SKILL_FILES: + (dest / fname).write_text( + get_content(SKILL_PREFIX, fname), encoding="utf-8" + ) + return dest + + def create_symlink( + agent_skills_dir: Path, central_skill_path: Path, force: bool + ) -> Path: + agent_skills_dir = agent_skills_dir.expanduser().resolve() + agent_skills_dir.mkdir(parents=True, exist_ok=True) + link_path = agent_skills_dir / SKILL_ID + remove_existing(link_path, force) + link_path.symlink_to(os.path.relpath(central_skill_path, agent_skills_dir)) + return link_path + + def install_command( + command_dir: Path, force: bool, strip_frontmatter: bool = False + ) -> Path: + import re + + command_dir = command_dir.expanduser().resolve() + command_dir.mkdir(parents=True, exist_ok=True) + dest = command_dir / COMMAND_FILE + if dest.exists() and not force: + error_exit( + f"Command already exists at {dest}.\nRe-run with --force to overwrite." + ) + content = get_content(COMMAND_PREFIX, COMMAND_FILE) + if strip_frontmatter: + content = re.sub(r"\A---\n.*?\n---\n+", "", content, flags=re.S) + dest.write_text(content, encoding="utf-8") + return dest + + global_targets = { + "cursor": Path("~/.cursor/skills"), + "claude": CLAUDE_GLOBAL, + "codex": Path("~/.codex/skills"), + "opencode": Path("~/.opencode/skills"), + "pi": Path("~/.pi/agent/skills"), + } + local_targets = { + "cursor": Path(".cursor/skills"), + "claude": CLAUDE_LOCAL, + "codex": Path(".codex/skills"), + "opencode": Path(".opencode/skills"), + "pi": Path(".pi/skills"), + } + targets_dict = global_targets if args.global_ else local_targets + + command_targets_global = { + "cursor": Path("~/.cursor/commands"), + "claude": Path("~/.claude/commands"), + "codex": Path("~/.codex/prompts"), + "opencode": Path("~/.config/opencode/commands"), + "pi": Path("~/.pi/agent/prompts"), + } + command_targets_local = { + "cursor": Path(".cursor/commands"), + "claude": Path(".claude/commands"), + "codex": Path("~/.codex/prompts"), + "opencode": Path(".opencode/commands"), + "pi": Path(".pi/prompts"), + } + command_dict = command_targets_global if args.global_ else command_targets_local + COMMAND_NOTES = { + "codex": " (Codex only reads ~/.codex/prompts; restart Codex to pick it up)" + } + STRIP_FRONTMATTER = {"pi"} + + if args.dest: + if ( + args.cursor + or args.claude + or args.codex + or args.opencode + or args.pi + or args.global_ + ): + error_exit("--dest cannot be combined with agent flags or --global.") + skill_dest = install_to(Path(args.dest), args.force) + print(f"Installed '{SKILL_ID}' to {skill_dest}") + return + + selected = [ + name + for name, flag in ( + ("cursor", args.cursor), + ("claude", args.claude), + ("codex", args.codex), + ("opencode", args.opencode), + ("pi", args.pi), + ) + if flag + ] + + central_path = CENTRAL_GLOBAL if args.global_ else CENTRAL_LOCAL + central_skill_path = install_to(central_path, args.force) + print(f"Installed '{SKILL_ID}' to central location: {central_skill_path}") + + for name in selected: + link_path = create_symlink(targets_dict[name], central_skill_path, args.force) + print(f"Created symlink: {link_path}") + + if not args.no_command: + for name in selected: + if name in command_dict: + cmd_path = install_command( + command_dict[name], + args.force, + strip_frontmatter=name in STRIP_FRONTMATTER, + ) + note = COMMAND_NOTES.get(name, "") + print(f"Installed '/logbook' command: {cmd_path}{note}") + else: + print( + f"Skipped '/logbook' command for {name} " + "(no slash-command directory convention)." + ) + + if args.claude and not args.no_hook: + hook_path = _install_claude_logbook_hook(args.global_) + if hook_path: + print(f"Installed logbook todo-sync hook: {hook_path}") + + +def _install_claude_logbook_hook(global_: bool): + import json + from pathlib import Path + + settings = ( + Path("~/.claude/settings.json") if global_ else Path(".claude/settings.json") + ).expanduser() + settings.parent.mkdir(parents=True, exist_ok=True) + data = {} + if settings.exists(): + try: + data = json.loads(settings.read_text(encoding="utf-8")) + except Exception: + print(f"Could not parse {settings}; skipping hook install.") + return None + command = "trackio logbook sync-todos" + hooks = data.setdefault("hooks", {}) + post = hooks.setdefault("PostToolUse", []) + for entry in post: + for h in entry.get("hooks", []): + if h.get("command") == command: + return settings + post.append( + { + "matcher": "TodoWrite", + "hooks": [{"type": "command", "command": command}], + } + ) + settings.write_text(json.dumps(data, indent=2), encoding="utf-8") + return settings + + +if __name__ == "__main__": + main() diff --git a/trackio/cli_helpers.py b/trackio/cli_helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..dd27ae5278561dd09a52e309de0c3a5abf82f70b --- /dev/null +++ b/trackio/cli_helpers.py @@ -0,0 +1,268 @@ +import json +import sys +from typing import Any + +from trackio import references + + +def format_json(data: Any) -> str: + """Format data as JSON.""" + return json.dumps(data, indent=2) + + +def format_list(items: list[str], title: str | None = None) -> str: + """Format a list of items in human-readable format.""" + if not items: + return f"No {title.lower() if title else 'items'} found." + + output = [] + if title: + output.append(f"{title}:") + + for item in items: + output.append(f" - {item}") + + return "\n".join(output) + + +def format_artifacts(artifacts: list[dict], project: str | None = None) -> str: + """Format a project's artifacts in human-readable format.""" + if not artifacts: + return "No artifacts found." + + title = f"Artifacts in '{project}'" if project else "Artifacts" + output = [f"{title}:"] + for art in artifacts: + latest = art.get("latest_version") + version = f"v{latest}" if latest is not None else "(no versions)" + aliases = art.get("aliases") or [] + alias_str = f" [{', '.join(aliases)}]" if aliases else "" + output.append( + f" - {art['name']} ({art.get('type', '?')}) " + f"latest={version}{alias_str} " + f"versions={art.get('num_versions', 0)}" + ) + if art.get("description"): + output.append(f" {art['description']}") + return "\n".join(output) + + +def format_artifact(record: dict) -> str: + """Format a single resolved artifact version in human-readable format.""" + lines = [ + f"Artifact: {record['name']} (v{record['version']})", + f" type: {record.get('type')}", + ] + if record.get("description"): + lines.append(f" description: {record['description']}") + aliases = record.get("aliases") or [] + if aliases: + lines.append(f" aliases: {', '.join(aliases)}") + if record.get("metadata"): + lines.append(f" metadata: {record['metadata']}") + lines.append(f" size: {record.get('size_bytes')} bytes") + lines.append(f" digest: {record.get('manifest_digest')}") + manifest = record.get("manifest") or [] + lines.append(f" files ({len(manifest)}):") + for entry in manifest: + if references.is_reference_entry(entry): + lines.append(f" - {entry['path']} -> {entry['ref']} (reference)") + else: + lines.append(f" - {entry['path']} ({entry['size']} bytes)") + return "\n".join(lines) + + +def format_spaces(spaces: list[dict]) -> str: + """Format HF Spaces in human-readable format.""" + if not spaces: + return "No Trackio Spaces found." + + output = ["Trackio Spaces:"] + for space in spaces: + visibility = "private" if space.get("private") else "public" + output.append(f" - {space['id']} ({visibility})") + if space.get("url"): + output.append(f" {space['url']}") + + return "\n".join(output) + + +def format_project_summary(summary: dict) -> str: + """Format project summary in human-readable format.""" + output = [f"Project: {summary['project']}"] + output.append(f"Number of runs: {summary['num_runs']}") + + if summary["runs"]: + output.append("\nRuns:") + for run in summary["runs"]: + output.append(f" - {run}") + else: + output.append("\nNo runs found.") + + if summary.get("last_activity"): + output.append(f"\nLast activity (max step): {summary['last_activity']}") + + return "\n".join(output) + + +def format_run_summary(summary: dict) -> str: + """Format run summary in human-readable format.""" + output = [f"Project: {summary['project']}"] + output.append(f"Run: {summary['run']}") + output.append(f"Number of logs: {summary['num_logs']}") + + if summary.get("last_step") is not None: + output.append(f"Last step: {summary['last_step']}") + + if summary.get("metrics"): + output.append("\nMetrics:") + for metric in summary["metrics"]: + output.append(f" - {metric}") + else: + output.append("\nNo metrics found.") + + config = summary.get("config") + if config: + output.append("\nConfig:") + config_display = {k: v for k, v in config.items() if not k.startswith("_")} + if config_display: + for key, value in config_display.items(): + output.append(f" {key}: {value}") + else: + output.append(" (no config)") + else: + output.append("\nConfig: (no config)") + + return "\n".join(output) + + +def format_metric_values(values: list[dict]) -> str: + """Format metric values in human-readable format.""" + if not values: + return "No metric values found." + + output = [f"Found {len(values)} value(s):\n"] + output.append("Step | Timestamp | Value") + output.append("-" * 50) + + for value in values: + step = value.get("step", "N/A") + timestamp = value.get("timestamp", "N/A") + val = value.get("value", "N/A") + output.append(f"{step} | {timestamp} | {val}") + + return "\n".join(output) + + +def format_system_metrics(metrics: list[dict]) -> str: + """Format system metrics in human-readable format.""" + if not metrics: + return "No system metrics found." + + output = [f"Found {len(metrics)} system metric entry/entries:\n"] + + for i, entry in enumerate(metrics): + timestamp = entry.get("timestamp", "N/A") + output.append(f"\nEntry {i + 1} (Timestamp: {timestamp}):") + for key, value in entry.items(): + if key != "timestamp": + output.append(f" {key}: {value}") + + return "\n".join(output) + + +def format_system_metric_names(names: list[str]) -> str: + """Format system metric names in human-readable format.""" + return format_list(names, "System Metrics") + + +def format_snapshot(snapshot: dict[str, list[dict]]) -> str: + """Format a metrics snapshot in human-readable format.""" + if not snapshot: + return "No metrics found in the specified range." + + output = [] + for metric_name, values in sorted(snapshot.items()): + output.append(f"\n{metric_name}:") + output.append(" Step | Timestamp | Value") + output.append(" " + "-" * 48) + for v in values: + step = v.get("step", "N/A") + ts = v.get("timestamp", "N/A") + val = v.get("value", "N/A") + output.append(f" {step} | {ts} | {val}") + + return "\n".join(output) + + +def format_alerts(alerts: list[dict]) -> str: + """Format alerts in human-readable format.""" + if not alerts: + return "No alerts found." + + output = [f"Found {len(alerts)} alert(s):\n"] + output.append("Timestamp | Run | Level | Title | Text | Step") + output.append("-" * 80) + + for a in alerts: + ts = a.get("timestamp", "N/A") + run = a.get("run", "N/A") + level = a.get("level", "N/A").upper() + title = a.get("title", "") + text = a.get("text", "") or "" + step = a.get("step", "N/A") + output.append(f"{ts} | {run} | {level} | {title} | {text} | {step}") + + return "\n".join(output) + + +def format_query_result(result: dict[str, Any]) -> str: + """Format SQL query results in human-readable format.""" + columns = result.get("columns", []) + rows = result.get("rows", []) + row_count = result.get("row_count", 0) + + if not columns: + return f"Query returned {row_count} row(s)." + + rendered_rows = [] + for row in rows: + rendered_rows.append( + [ + "" if row.get(column) is None else str(row.get(column)) + for column in columns + ] + ) + + widths = [] + for idx, column in enumerate(columns): + cell_width = max( + (len(rendered_row[idx]) for rendered_row in rendered_rows), default=0 + ) + widths.append(max(len(column), cell_width)) + + header = " | ".join( + column.ljust(width) for column, width in zip(columns, widths, strict=False) + ) + separator = "-+-".join("-" * width for width in widths) + output = [f"Query returned {row_count} row(s).", header, separator] + + if not rendered_rows: + output.append("(no rows)") + return "\n".join(output) + + for rendered_row in rendered_rows: + output.append( + " | ".join( + value.ljust(width) + for value, width in zip(rendered_row, widths, strict=False) + ) + ) + + return "\n".join(output) + + +def error_exit(message: str, code: int = 1) -> None: + """Print error message and exit.""" + print(f"Error: {message}", file=sys.stderr) + sys.exit(code) diff --git a/trackio/commit_scheduler.py b/trackio/commit_scheduler.py new file mode 100644 index 0000000000000000000000000000000000000000..2e1cbabc2f9e576def2332cd4fbdc5788828ace6 --- /dev/null +++ b/trackio/commit_scheduler.py @@ -0,0 +1,310 @@ +# Originally copied from https://github.com/huggingface/huggingface_hub/blob/d0a948fc2a32ed6e557042a95ef3e4af97ec4a7c/src/huggingface_hub/_commit_scheduler.py + +import atexit +import logging +import time +from concurrent.futures import Future +from dataclasses import dataclass +from pathlib import Path +from threading import Lock, Thread +from typing import Callable, Dict, List, Union + +from huggingface_hub.hf_api import ( + DEFAULT_IGNORE_PATTERNS, + CommitInfo, + CommitOperationAdd, + HfApi, +) +from huggingface_hub.utils import filter_repo_objects + +logger = logging.getLogger(__name__) + + +@dataclass(frozen=True) +class _FileToUpload: + """Temporary dataclass to store info about files to upload. Not meant to be used directly.""" + + local_path: Path + path_in_repo: str + size_limit: int + last_modified: float + + +class CommitScheduler: + """ + Scheduler to upload a local folder to the Hub at regular intervals (e.g. push to hub every 5 minutes). + + The recommended way to use the scheduler is to use it as a context manager. This ensures that the scheduler is + properly stopped and the last commit is triggered when the script ends. The scheduler can also be stopped manually + with the `stop` method. Checkout the [upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload#scheduled-uploads) + to learn more about how to use it. + + Args: + repo_id (`str`): + The id of the repo to commit to. + folder_path (`str` or `Path`): + Path to the local folder to upload regularly. + every (`int` or `float`, *optional*): + The number of minutes between each commit. Defaults to 5 minutes. + path_in_repo (`str`, *optional*): + Relative path of the directory in the repo, for example: `"checkpoints/"`. Defaults to the root folder + of the repository. + repo_type (`str`, *optional*): + The type of the repo to commit to. Defaults to `model`. + revision (`str`, *optional*): + The revision of the repo to commit to. Defaults to `main`. + private (`bool`, *optional*): + Whether to make the repo private. If `None` (default), the repo will be public unless the organization's default is private. This value is ignored if the repo already exists. + token (`str`, *optional*): + The token to use to commit to the repo. Defaults to the token saved on the machine. + allow_patterns (`List[str]` or `str`, *optional*): + If provided, only files matching at least one pattern are uploaded. + ignore_patterns (`List[str]` or `str`, *optional*): + If provided, files matching any of the patterns are not uploaded. + squash_history (`bool`, *optional*): + Whether to squash the history of the repo after each commit. Defaults to `False`. Squashing commits is + useful to avoid degraded performances on the repo when it grows too large. + hf_api (`HfApi`, *optional*): + The [`HfApi`] client to use to commit to the Hub. Can be set with custom settings (user agent, token,...). + on_before_commit (`Callable[[], None]`, *optional*): + If specified, a function that will be called before the CommitScheduler lists files to create a commit. + + Example: + ```py + >>> from pathlib import Path + >>> from huggingface_hub import CommitScheduler + + # Scheduler uploads every 10 minutes + >>> csv_path = Path("watched_folder/data.csv") + >>> CommitScheduler(repo_id="test_scheduler", repo_type="dataset", folder_path=csv_path.parent, every=10) + + >>> with csv_path.open("a") as f: + ... f.write("first line") + + # Some time later (...) + >>> with csv_path.open("a") as f: + ... f.write("second line") + ``` + + Example using a context manager: + ```py + >>> from pathlib import Path + >>> from huggingface_hub import CommitScheduler + + >>> with CommitScheduler(repo_id="test_scheduler", repo_type="dataset", folder_path="watched_folder", every=10) as scheduler: + ... csv_path = Path("watched_folder/data.csv") + ... with csv_path.open("a") as f: + ... f.write("first line") + ... (...) + ... with csv_path.open("a") as f: + ... f.write("second line") + + # Scheduler is now stopped and last commit have been triggered + ``` + """ + + def __init__( + self, + *, + repo_id: str, + folder_path: Union[str, Path], + every: Union[int, float] = 5, + path_in_repo: str | None = None, + repo_type: str | None = None, + revision: str | None = None, + private: bool | None = None, + token: str | None = None, + allow_patterns: list[str] | str | None = None, + ignore_patterns: list[str] | str | None = None, + squash_history: bool = False, + hf_api: HfApi | None = None, + on_before_commit: Callable[[], None] | None = None, + ) -> None: + self.api = hf_api or HfApi(token=token) + self.on_before_commit = on_before_commit + + # Folder + self.folder_path = Path(folder_path).expanduser().resolve() + self.path_in_repo = path_in_repo or "" + self.allow_patterns = allow_patterns + + if ignore_patterns is None: + ignore_patterns = [] + elif isinstance(ignore_patterns, str): + ignore_patterns = [ignore_patterns] + self.ignore_patterns = ignore_patterns + DEFAULT_IGNORE_PATTERNS + + if self.folder_path.is_file(): + raise ValueError( + f"'folder_path' must be a directory, not a file: '{self.folder_path}'." + ) + self.folder_path.mkdir(parents=True, exist_ok=True) + + # Repository + repo_url = self.api.create_repo( + repo_id=repo_id, private=private, repo_type=repo_type, exist_ok=True + ) + self.repo_id = repo_url.repo_id + self.repo_type = repo_type + self.revision = revision + self.token = token + + self.last_uploaded: Dict[Path, float] = {} + self.last_push_time: float | None = None + + if not every > 0: + raise ValueError(f"'every' must be a positive integer, not '{every}'.") + self.lock = Lock() + self.every = every + self.squash_history = squash_history + + logger.info( + f"Scheduled job to push '{self.folder_path}' to '{self.repo_id}' every {self.every} minutes." + ) + self._scheduler_thread = Thread(target=self._run_scheduler, daemon=True) + self._scheduler_thread.start() + atexit.register(self._push_to_hub) + + self.__stopped = False + + def stop(self) -> None: + """Stop the scheduler. + + A stopped scheduler cannot be restarted. Mostly for tests purposes. + """ + self.__stopped = True + + def __enter__(self) -> "CommitScheduler": + return self + + def __exit__(self, exc_type, exc_value, traceback) -> None: + # Upload last changes before exiting + self.trigger().result() + self.stop() + return + + def _run_scheduler(self) -> None: + """Dumb thread waiting between each scheduled push to Hub.""" + while True: + self.last_future = self.trigger() + time.sleep(self.every * 60) + if self.__stopped: + break + + def trigger(self) -> Future: + """Trigger a `push_to_hub` and return a future. + + This method is automatically called every `every` minutes. You can also call it manually to trigger a commit + immediately, without waiting for the next scheduled commit. + """ + return self.api.run_as_future(self._push_to_hub) + + def _push_to_hub(self) -> CommitInfo | None: + if self.__stopped: # If stopped, already scheduled commits are ignored + return None + + logger.info("(Background) scheduled commit triggered.") + try: + value = self.push_to_hub() + if self.squash_history: + logger.info("(Background) squashing repo history.") + self.api.super_squash_history( + repo_id=self.repo_id, repo_type=self.repo_type, branch=self.revision + ) + return value + except Exception as e: + logger.error( + f"Error while pushing to Hub: {e}" + ) # Depending on the setup, error might be silenced + raise + + def push_to_hub(self) -> CommitInfo | None: + """ + Push folder to the Hub and return the commit info. + + + + This method is not meant to be called directly. It is run in the background by the scheduler, respecting a + queue mechanism to avoid concurrent commits. Making a direct call to the method might lead to concurrency + issues. + + + + The default behavior of `push_to_hub` is to assume an append-only folder. It lists all files in the folder and + uploads only changed files. If no changes are found, the method returns without committing anything. If you want + to change this behavior, you can inherit from [`CommitScheduler`] and override this method. This can be useful + for example to compress data together in a single file before committing. For more details and examples, check + out our [integration guide](https://huggingface.co/docs/huggingface_hub/main/en/guides/upload#scheduled-uploads). + """ + # Check files to upload (with lock) + with self.lock: + if self.on_before_commit is not None: + self.on_before_commit() + + logger.debug("Listing files to upload for scheduled commit.") + + # List files from folder (taken from `_prepare_upload_folder_additions`) + relpath_to_abspath = { + path.relative_to(self.folder_path).as_posix(): path + for path in sorted( + self.folder_path.glob("**/*") + ) # sorted to be deterministic + if path.is_file() + } + prefix = f"{self.path_in_repo.strip('/')}/" if self.path_in_repo else "" + + # Filter with pattern + filter out unchanged files + retrieve current file size + files_to_upload: List[_FileToUpload] = [] + for relpath in filter_repo_objects( + relpath_to_abspath.keys(), + allow_patterns=self.allow_patterns, + ignore_patterns=self.ignore_patterns, + ): + local_path = relpath_to_abspath[relpath] + stat = local_path.stat() + if ( + self.last_uploaded.get(local_path) is None + or self.last_uploaded[local_path] != stat.st_mtime + ): + files_to_upload.append( + _FileToUpload( + local_path=local_path, + path_in_repo=prefix + relpath, + size_limit=stat.st_size, + last_modified=stat.st_mtime, + ) + ) + + # Return if nothing to upload + if len(files_to_upload) == 0: + logger.debug("Dropping schedule commit: no changed file to upload.") + return None + + # Convert `_FileToUpload` as `CommitOperationAdd` (=> compute file shas + limit to file size) + logger.debug("Removing unchanged files since previous scheduled commit.") + add_operations = [ + CommitOperationAdd( + # TODO: Cap the file to its current size, even if the user append data to it while a scheduled commit is happening + # (requires an upstream fix for XET-535: `hf_xet` should support `BinaryIO` for upload) + path_or_fileobj=file_to_upload.local_path, + path_in_repo=file_to_upload.path_in_repo, + ) + for file_to_upload in files_to_upload + ] + + # Upload files (append mode expected - no need for lock) + logger.debug("Uploading files for scheduled commit.") + commit_info = self.api.create_commit( + repo_id=self.repo_id, + repo_type=self.repo_type, + operations=add_operations, + commit_message="Scheduled Commit", + revision=self.revision, + ) + + for file in files_to_upload: + self.last_uploaded[file.local_path] = file.last_modified + + self.last_push_time = time.time() + + return commit_info diff --git a/trackio/compression.py b/trackio/compression.py new file mode 100644 index 0000000000000000000000000000000000000000..a6b0a59e46d56237c6cc5da742cfb653fd72648a --- /dev/null +++ b/trackio/compression.py @@ -0,0 +1,169 @@ +from __future__ import annotations + +import gzip +import io +from typing import NoReturn + +from starlette.datastructures import Headers, MutableHeaders +from starlette.types import ASGIApp, Message, Receive, Scope, Send + +try: + import brotli + + HAS_BROTLI = True +except ImportError: + brotli = None + HAS_BROTLI = False + +COMPRESSIBLE_CONTENT_TYPES = ( + "application/json", + "application/javascript", + "application/manifest+json", + "application/xml", + "application/xhtml+xml", + "image/svg+xml", + "text/", +) + + +class CompressionMiddleware: + """Negotiates Brotli, then gzip, then identity based on Accept-Encoding. + + Only text-like content types are compressed, so already-compressed media + (images, audio, video) and zero-copy file sends pass through untouched. + """ + + def __init__( + self, + app: ASGIApp, + minimum_size: int = 512, + gzip_level: int = 6, + brotli_quality: int = 5, + ) -> None: + self.app = app + self.minimum_size = minimum_size + self.gzip_level = gzip_level + self.brotli_quality = brotli_quality + + async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None: + if scope["type"] != "http": + await self.app(scope, receive, send) + return + + accept_encoding = Headers(scope=scope).get("Accept-Encoding", "") + responder: _CompressionResponder + if HAS_BROTLI and "br" in accept_encoding: + responder = _BrotliResponder( + self.app, self.minimum_size, self.brotli_quality + ) + elif "gzip" in accept_encoding: + responder = _GZipResponder(self.app, self.minimum_size, self.gzip_level) + else: + responder = _CompressionResponder(self.app, self.minimum_size) + + await responder(scope, receive, send) + + +class _CompressionResponder: + content_encoding: str = "" + + def __init__(self, app: ASGIApp, minimum_size: int) -> None: + self.app = app + self.minimum_size = minimum_size + self.send: Send = _unattached_send + self.initial_message: Message = {} + self.started = False + self.passthrough = True + + async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None: + self.send = send + await self.app(scope, receive, self.send_with_compression) + + async def send_with_compression(self, message: Message) -> None: + message_type = message["type"] + if message_type == "http.response.start": + self.initial_message = message + headers = Headers(raw=message["headers"]) + content_type = headers.get("content-type", "") + already_encoded = "content-encoding" in headers + self.passthrough = already_encoded or not content_type.startswith( + COMPRESSIBLE_CONTENT_TYPES + ) + elif message_type == "http.response.body" and self.passthrough: + if not self.started: + self.started = True + await self.send(self.initial_message) + await self.send(message) + elif message_type == "http.response.body" and not self.started: + self.started = True + body = message.get("body", b"") + more_body = message.get("more_body", False) + if len(body) < self.minimum_size and not more_body: + await self.send(self.initial_message) + await self.send(message) + else: + compressed = self.apply_compression(body, more_body=more_body) + headers = MutableHeaders(raw=self.initial_message["headers"]) + headers.add_vary_header("Accept-Encoding") + if compressed != body: + headers["Content-Encoding"] = self.content_encoding + if more_body: + del headers["Content-Length"] + else: + headers["Content-Length"] = str(len(compressed)) + message["body"] = compressed + await self.send(self.initial_message) + await self.send(message) + elif message_type == "http.response.body": + body = message.get("body", b"") + more_body = message.get("more_body", False) + message["body"] = self.apply_compression(body, more_body=more_body) + await self.send(message) + elif message_type == "http.response.pathsend": + await self.send(self.initial_message) + await self.send(message) + + def apply_compression(self, body: bytes, *, more_body: bool) -> bytes: + return body + + +class _GZipResponder(_CompressionResponder): + content_encoding = "gzip" + + def __init__(self, app: ASGIApp, minimum_size: int, compresslevel: int) -> None: + super().__init__(app, minimum_size) + self.buffer = io.BytesIO() + self.file = gzip.GzipFile( + mode="wb", fileobj=self.buffer, compresslevel=compresslevel + ) + + async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None: + with self.buffer, self.file: + await super().__call__(scope, receive, send) + + def apply_compression(self, body: bytes, *, more_body: bool) -> bytes: + self.file.write(body) + if not more_body: + self.file.close() + data = self.buffer.getvalue() + self.buffer.seek(0) + self.buffer.truncate() + return data + + +class _BrotliResponder(_CompressionResponder): + content_encoding = "br" + + def __init__(self, app: ASGIApp, minimum_size: int, quality: int) -> None: + super().__init__(app, minimum_size) + self.compressor = brotli.Compressor(quality=quality) + + def apply_compression(self, body: bytes, *, more_body: bool) -> bytes: + data = self.compressor.process(body) + if not more_body: + data += self.compressor.finish() + return data + + +async def _unattached_send(message: Message) -> NoReturn: + raise RuntimeError("send awaitable not set") diff --git a/trackio/context_vars.py b/trackio/context_vars.py new file mode 100644 index 0000000000000000000000000000000000000000..ef1404001b8856446ec2940eee81578d634a51fd --- /dev/null +++ b/trackio/context_vars.py @@ -0,0 +1,21 @@ +import contextvars +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from trackio.run import Run + +current_run: contextvars.ContextVar["Run | None"] = contextvars.ContextVar( + "current_run", default=None +) +current_project: contextvars.ContextVar[str | None] = contextvars.ContextVar( + "current_project", default=None +) +current_server: contextvars.ContextVar[str | None] = contextvars.ContextVar( + "current_server", default=None +) +current_space_id: contextvars.ContextVar[str | None] = contextvars.ContextVar( + "current_space_id", default=None +) +current_server_write_token: contextvars.ContextVar[str | None] = contextvars.ContextVar( + "current_server_write_token", default=None +) diff --git a/trackio/cpu.py b/trackio/cpu.py new file mode 100644 index 0000000000000000000000000000000000000000..e11274786d1f17d7d5415286f2fd79a96f7ae2dc --- /dev/null +++ b/trackio/cpu.py @@ -0,0 +1,303 @@ +import importlib +import threading +import time +import warnings +from typing import TYPE_CHECKING, Any + +from trackio import context_vars + +if TYPE_CHECKING: + from trackio.run import Run + +psutil: Any = None +PSUTIL_AVAILABLE = False +_psutil_lock = threading.Lock() + + +def _ensure_psutil(): + global PSUTIL_AVAILABLE, psutil + if PSUTIL_AVAILABLE: + return psutil + with _psutil_lock: + if PSUTIL_AVAILABLE: + return psutil + try: + psutil = importlib.import_module("psutil") + PSUTIL_AVAILABLE = True + return psutil + except ImportError: + raise ImportError( + "psutil is required for CPU and RAM monitoring. " + "Install it with: pip install psutil" + ) + + +def cpu_available() -> bool: + """ + Check if CPU and RAM monitoring is available. + + Returns True if psutil is installed. + """ + try: + _ensure_psutil() + return True + except ImportError: + return False + except Exception: + return False + + +def collect_cpu_metrics( + prev_disk_counters: Any = None, + prev_net_counters: Any = None, + elapsed: float | None = None, + include_static: bool = True, +) -> dict: + """ + Collect CPU, RAM, disk, network, and sensor metrics using psutil. + + Args: + prev_disk_counters: Previous disk I/O counters for computing read/write rates. + If None, only cumulative values are reported. + prev_net_counters: Previous network I/O counters for computing send/recv rates. + If None, only cumulative values are reported. + elapsed: Seconds since prev_disk_counters and prev_net_counters were captured. + If None or non-positive, cumulative values are reported instead of rates. + include_static: Whether to include mostly static metrics such as CPU + frequency and core counts. + + Returns: + Dictionary of system metrics. + """ + if not PSUTIL_AVAILABLE: + try: + _ensure_psutil() + except ImportError: + return {} + + metrics = {} + + try: + per_core = psutil.cpu_percent(interval=0.1, percpu=True) + for i, pct in enumerate(per_core): + metrics[f"cpu/{i}/utilization"] = pct + if per_core: + metrics["cpu/utilization"] = sum(per_core) / len(per_core) + except Exception: + pass + + if include_static: + try: + cpu_freq = psutil.cpu_freq() + if cpu_freq: + metrics["cpu/frequency"] = cpu_freq.current + if cpu_freq.max > 0: + metrics["cpu/frequency_max"] = cpu_freq.max + except Exception: + pass + + try: + cpu_count_logical = psutil.cpu_count(logical=True) + if cpu_count_logical is not None: + metrics["cpu/count_logical"] = cpu_count_logical + cpu_count_physical = psutil.cpu_count(logical=False) + if cpu_count_physical is not None: + metrics["cpu/count_physical"] = cpu_count_physical + except Exception: + pass + + try: + mem = psutil.virtual_memory() + metrics["memory/used"] = mem.used / (1024**3) + metrics["memory/total"] = mem.total / (1024**3) + metrics["memory/available"] = mem.available / (1024**3) + metrics["memory/percent"] = mem.percent + except Exception: + pass + + try: + swap = psutil.swap_memory() + metrics["swap/used"] = swap.used / (1024**3) + metrics["swap/total"] = swap.total / (1024**3) + metrics["swap/percent"] = swap.percent + except Exception: + pass + + try: + disk = psutil.disk_io_counters() + if disk is not None: + if prev_disk_counters is not None and elapsed and elapsed > 0: + metrics["disk/read_mb_per_sec"] = ( + (disk.read_bytes - prev_disk_counters.read_bytes) + / elapsed + / (1024**2) + ) + metrics["disk/write_mb_per_sec"] = ( + (disk.write_bytes - prev_disk_counters.write_bytes) + / elapsed + / (1024**2) + ) + metrics["disk/read_iops"] = ( + disk.read_count - prev_disk_counters.read_count + ) / elapsed + metrics["disk/write_iops"] = ( + disk.write_count - prev_disk_counters.write_count + ) / elapsed + else: + metrics["disk/read_bytes"] = disk.read_bytes + metrics["disk/write_bytes"] = disk.write_bytes + except Exception: + pass + + try: + net = psutil.net_io_counters() + if net is not None: + if prev_net_counters is not None and elapsed and elapsed > 0: + metrics["network/sent_mb_per_sec"] = ( + (net.bytes_sent - prev_net_counters.bytes_sent) + / elapsed + / (1024**2) + ) + metrics["network/recv_mb_per_sec"] = ( + (net.bytes_recv - prev_net_counters.bytes_recv) + / elapsed + / (1024**2) + ) + else: + metrics["network/sent_bytes"] = net.bytes_sent + metrics["network/recv_bytes"] = net.bytes_recv + except Exception: + pass + + try: + sensors = psutil.sensors_temperatures() + if sensors: + for chip_name, entries in sensors.items(): + for i, entry in enumerate(entries): + label = ( + entry.label.strip() + if entry.label and entry.label.strip() + else f"{chip_name}_{i}" + ) + metrics[f"temp/{label}"] = entry.current + except Exception: + pass + + try: + battery = psutil.sensors_battery() + if battery is not None: + metrics["battery/percent"] = battery.percent + metrics["battery/power_plugged"] = int(battery.power_plugged) + except Exception: + pass + + return metrics + + +class CpuMonitor: + def __init__(self, run: "Run", interval: float = 10.0): + self._run = run + self._interval = interval + self._stop_flag = threading.Event() + self._thread: "threading.Thread | None" = None + self._last_disk_counters: Any = None + self._last_net_counters: Any = None + self._last_time: float | None = None + self._include_static_next = True + + def start(self): + if not PSUTIL_AVAILABLE: + try: + _ensure_psutil() + except ImportError: + warnings.warn( + "auto_log_cpu=True but psutil is not installed. " + "CPU and RAM logging disabled. Install with: pip install psutil" + ) + return + + self._thread = threading.Thread(target=self._monitor_loop, daemon=True) + self._thread.start() + + def stop(self): + self._stop_flag.set() + if self._thread is not None: + self._thread.join(timeout=2.0) + + def _monitor_loop(self): + try: + self._last_disk_counters = psutil.disk_io_counters() + except Exception: + pass + try: + self._last_net_counters = psutil.net_io_counters() + except Exception: + pass + self._last_time = time.monotonic() + + while not self._stop_flag.is_set(): + self._stop_flag.wait(timeout=self._interval) + if self._stop_flag.is_set(): + break + try: + now = time.monotonic() + elapsed = now - self._last_time if self._last_time is not None else None + metrics = collect_cpu_metrics( + prev_disk_counters=self._last_disk_counters, + prev_net_counters=self._last_net_counters, + elapsed=elapsed, + include_static=self._include_static_next, + ) + self._include_static_next = False + try: + self._last_disk_counters = psutil.disk_io_counters() + except Exception: + self._last_disk_counters = None + try: + self._last_net_counters = psutil.net_io_counters() + except Exception: + self._last_net_counters = None + self._last_time = now + if metrics: + self._run.log_system(metrics) + except Exception: + pass + + +def log_cpu(run: "Run | None" = None) -> dict: + """ + Log CPU, RAM, disk, network, and sensor metrics to the current or specified run + as system metrics. + + Args: + run: Optional Run instance. If None, uses current run from context. + + Returns: + dict: The system metrics that were logged. + + Example: + ```python + import trackio + + run = trackio.init(project="my-project") + trackio.log({"loss": 0.5}) + trackio.log_cpu() + ``` + """ + if run is None: + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.log_cpu().") + + try: + _ensure_psutil() + except ImportError: + warnings.warn( + "trackio.log_cpu() requires psutil. Install it with: pip install trackio[cpu]" + ) + return {} + + metrics = collect_cpu_metrics() + if metrics: + run.log_system(metrics) + return metrics diff --git a/trackio/deploy.py b/trackio/deploy.py new file mode 100644 index 0000000000000000000000000000000000000000..d463fee1d34a69818f69212ef7a4471ef7fe8516 --- /dev/null +++ b/trackio/deploy.py @@ -0,0 +1,1313 @@ +import importlib.metadata +import io +import json as json_mod +import os +import tempfile +import threading +import time +import warnings +from collections import Counter +from importlib.resources import files +from pathlib import Path + +import httpx +import huggingface_hub +from gradio_client import handle_file +from httpx import ReadTimeout +from huggingface_hub import Volume +from huggingface_hub.errors import ( + BucketNotFoundError, + HfHubHTTPError, + RepositoryNotFoundError, +) + +import trackio +from trackio.bucket_storage import ( + create_bucket_if_not_exists, + export_from_bucket_for_static, + upload_project_to_bucket, + upload_project_to_bucket_for_static, +) +from trackio.cas import PARTIAL_BLOB_GLOB +from trackio.frontend_config import resolve_frontend_dir +from trackio.pending_uploads import replay_pending_uploads +from trackio.remote_client import RemoteClient +from trackio.sqlite_storage import SQLiteStorage +from trackio.utils import ( + get_or_create_project_hash, + on_spaces, + preprocess_space_and_dataset_ids, + project_artifacts_dir, + project_media_dir, +) + +SPACE_HOST_URL = "https://{user_name}-{space_name}.hf.space/" +SPACE_URL = "https://huggingface.co/spaces/{space_id}" +_BOLD_ORANGE = "\033[1m\033[38;5;208m" +_RESET = "\033[0m" + + +def raise_if_space_is_frozen_for_logging(space_id: str) -> None: + try: + info = huggingface_hub.HfApi().space_info(space_id) + except RepositoryNotFoundError: + return + if getattr(info, "sdk", None) == "static": + raise RuntimeError( + f"Cannot log to Hugging Face Space '{space_id}' because it has been frozen " + f"(it uses the static SDK: a read-only dashboard with no live Trackio server).\n\n" + f"Use a different space_id for training, or create a new Gradio Trackio Space. " + f"Freezing converts a live Gradio Space to static after a run; a frozen Space " + f'cannot accept new logs. See trackio.sync(..., sdk="static") in the Trackio docs.' + ) + + +def _readme_linked_hub_yaml(dataset_id: str | None) -> str: + if dataset_id is not None: + return f"datasets:\n - {dataset_id}\n" + return "" + + +_CUSTOM_SPACE_FRONTEND_DIR = "trackio_custom_frontend" + + +def _space_app_py(frontend_dir: str | None = None) -> str: + if frontend_dir is None: + return "import trackio\ntrackio.show()\n" + return f'import trackio\ntrackio.show(frontend_dir="{frontend_dir}")\n' + + +def _upload_frontend_folder( + hf_api: huggingface_hub.HfApi, + *, + repo_id: str, + repo_type: str, + folder_path: str | Path, + path_in_repo: str | None = None, +) -> None: + kwargs = { + "repo_id": repo_id, + "repo_type": repo_type, + "folder_path": str(folder_path), + } + if path_in_repo is not None: + kwargs["path_in_repo"] = path_in_repo + hf_api.upload_folder(**kwargs) + + +def _retry_hf_write(op_name: str, fn, retries: int = 4, initial_delay: float = 1.5): + delay = initial_delay + for attempt in range(1, retries + 1): + try: + return fn() + except ReadTimeout: + if attempt == retries: + raise + print( + f"* {op_name} timed out (attempt {attempt}/{retries}). Retrying in {delay:.1f}s..." + ) + time.sleep(delay) + delay = min(delay * 2, 12) + except HfHubHTTPError as e: + status = e.response.status_code if e.response is not None else None + if status is None or status < 500 or attempt == retries: + raise + print( + f"* {op_name} failed with HTTP {status} (attempt {attempt}/{retries}). Retrying in {delay:.1f}s..." + ) + time.sleep(delay) + delay = min(delay * 2, 12) + + +def _get_space_volumes( + space_id: str, hf_api: huggingface_hub.HfApi | None = None +) -> list[Volume]: + """ + Return mounted volumes for a Space. + + `HfApi.get_space_runtime()` does not always populate `volumes`, even when the + mount exists. Fall back to `space_info().runtime.volumes`, which currently + carries the volume metadata for running Spaces. + """ + hf_api = hf_api or huggingface_hub.HfApi() + runtime = hf_api.get_space_runtime(space_id) + if runtime.volumes: + return list(runtime.volumes) + + info = hf_api.space_info(space_id) + if info.runtime and info.runtime.volumes: + return list(info.runtime.volumes) + + return [] + + +def _get_space_bucket_at_data_mount( + space_id: str, hf_api: huggingface_hub.HfApi | None = None +) -> str | None: + for volume in _get_space_volumes(space_id, hf_api=hf_api): + if volume.type == "bucket" and volume.mount_path == "/data": + return volume.source + return None + + +def _get_existing_space_bucket( + space_id: str, hf_api: huggingface_hub.HfApi | None = None +) -> str | None: + """Return the Trackio bucket for a Space, preferring the canonical /data mount.""" + bucket_at_data = _get_space_bucket_at_data_mount(space_id, hf_api=hf_api) + if bucket_at_data is not None: + return bucket_at_data + + for volume in _get_space_volumes(space_id, hf_api=hf_api): + if volume.type == "bucket": + return volume.source + return None + + +def _get_existing_static_space_bucket( + space_id: str, hf_api: huggingface_hub.HfApi | None = None +) -> str | None: + hf_api = hf_api or huggingface_hub.HfApi() + try: + config_path = hf_api.hf_hub_download( + repo_id=space_id, + repo_type="space", + filename="config.json", + ) + except (FileNotFoundError, HfHubHTTPError, OSError, ValueError): + return None + + try: + with open(config_path, encoding="utf-8") as config_file: + config = json_mod.load(config_file) + except (OSError, ValueError, TypeError): + return None + + bucket_id = config.get("bucket_id") + if isinstance(bucket_id, str) and bucket_id: + return bucket_id + return None + + +def _ensure_bucket_mounted_at_data( + space_id: str, + bucket_id: str, + hf_api: huggingface_hub.HfApi | None = None, +) -> None: + hf_api = hf_api or huggingface_hub.HfApi() + existing = _get_space_volumes(space_id, hf_api=hf_api) + already_mounted = any( + v.type == "bucket" and v.source == bucket_id and v.mount_path == "/data" + for v in existing + ) + if not already_mounted: + preserved = [ + v + for v in existing + if not ( + v.type == "bucket" + and (v.source == bucket_id or v.mount_path == "/data") + ) + ] + hf_api.set_space_volumes( + space_id, + preserved + [Volume(type="bucket", source=bucket_id, mount_path="/data")], + ) + print(f"* Attached bucket {bucket_id} at '/data'") + + existing_variables = hf_api.get_space_variables(space_id) + current_trackio_dir = getattr(existing_variables.get("TRACKIO_DIR"), "value", None) + if current_trackio_dir != "/data/trackio": + huggingface_hub.add_space_variable(space_id, "TRACKIO_DIR", "/data/trackio") + current_bucket_id = getattr( + existing_variables.get("TRACKIO_BUCKET_ID"), "value", None + ) + if current_bucket_id != bucket_id: + huggingface_hub.add_space_variable(space_id, "TRACKIO_BUCKET_ID", bucket_id) + + +def _bucket_exists(bucket_id: str, hf_api: huggingface_hub.HfApi | None = None) -> bool: + hf_api = hf_api or huggingface_hub.HfApi() + try: + hf_api.bucket_info(bucket_id) + return True + except BucketNotFoundError: + return False + + +def _find_available_bucket_id( + preferred_bucket_id: str, hf_api: huggingface_hub.HfApi | None = None +) -> str: + hf_api = hf_api or huggingface_hub.HfApi() + if not _bucket_exists(preferred_bucket_id, hf_api): + return preferred_bucket_id + + suffix = 2 + while True: + candidate = f"{preferred_bucket_id}-{suffix}" + if not _bucket_exists(candidate, hf_api): + return candidate + suffix += 1 + + +def resolve_auto_bucket_id( + space_id: str, + preferred_bucket_id: str, + hf_api: huggingface_hub.HfApi | None = None, +) -> str: + """ + Resolve the bucket to use for an auto-generated bucket ID. + + Rules: + - Existing Space with a bucket mounted at /data -> reuse that bucket. + - Existing static Space with a bucket_id in config.json -> reuse that bucket. + - Otherwise -> use the preferred auto bucket ID if free, or a suffixed variant. + """ + hf_api = hf_api or huggingface_hub.HfApi() + try: + info = hf_api.space_info(space_id) + except RepositoryNotFoundError: + pass + else: + existing_bucket_id = _get_existing_space_bucket(space_id, hf_api=hf_api) + if existing_bucket_id is None and getattr(info, "sdk", None) == "static": + existing_bucket_id = _get_existing_static_space_bucket( + space_id, hf_api=hf_api + ) + if existing_bucket_id is not None: + return existing_bucket_id + + bucket_id = _find_available_bucket_id(preferred_bucket_id, hf_api) + if bucket_id != preferred_bucket_id: + print( + f"* Auto-generated bucket {preferred_bucket_id} already exists; " + f"using {bucket_id} instead" + ) + return bucket_id + + +def _get_source_install_dependencies() -> str: + """Get trackio dependencies from pyproject.toml for source installs.""" + try: + import tomllib # noqa: PLC0415 + except ModuleNotFoundError: + import tomli as tomllib # noqa: PLC0415 + + trackio_path = files("trackio") + pyproject_path = Path(trackio_path).parent / "pyproject.toml" + with open(pyproject_path, "rb") as f: + pyproject = tomllib.load(f) + deps = pyproject["project"]["dependencies"] + spaces_deps = ( + pyproject["project"].get("optional-dependencies", {}).get("spaces", []) + ) + mcp_deps = pyproject["project"].get("optional-dependencies", {}).get("mcp", []) + return "\n".join(deps + spaces_deps + mcp_deps) + + +def _get_space_install_requirement() -> str: + return f"trackio[spaces,mcp]=={trackio.__version__}" + + +def _is_trackio_installed_from_source() -> bool: + """Check if trackio is installed from source/editable install vs PyPI.""" + try: + trackio_file = trackio.__file__ + if "site-packages" not in trackio_file and "dist-packages" not in trackio_file: + return True + + dist = importlib.metadata.distribution("trackio") + if dist.files: + files = list(dist.files) + has_pth = any(".pth" in str(f) for f in files) + if has_pth: + return True + + return False + except ( + AttributeError, + importlib.metadata.PackageNotFoundError, + importlib.metadata.MetadataError, + ValueError, + TypeError, + ): + return True + + +def deploy_as_space( + space_id: str, + space_storage: huggingface_hub.SpaceStorage | None = None, + dataset_id: str | None = None, + bucket_id: str | None = None, + private: bool | None = None, + frontend_dir: str | Path | None = None, +): + if on_spaces(): # in case a repo with this function is uploaded to spaces + return + + if dataset_id is not None and bucket_id is not None: + raise ValueError( + "Cannot use bucket volume options together with dataset_id; use one persistence mode." + ) + + trackio_path = files("trackio") + + hf_api = huggingface_hub.HfApi() + + try: + huggingface_hub.create_repo( + space_id, + private=private, + space_sdk="gradio", + space_storage=space_storage, + repo_type="space", + exist_ok=True, + ) + except HfHubHTTPError as e: + if e.response.status_code in [401, 403]: # unauthorized or forbidden + print("Need 'write' access token to create a Spaces repo.") + huggingface_hub.login(add_to_git_credential=False) + huggingface_hub.create_repo( + space_id, + private=private, + space_sdk="gradio", + space_storage=space_storage, + repo_type="space", + exist_ok=True, + ) + else: + raise ValueError(f"Failed to create Space: {e}") + + # We can assume huggingface-hub is available; requirements.txt pins trackio. + # Make sure necessary dependencies are installed by creating a requirements.txt. + is_source_install = _is_trackio_installed_from_source() + resolved_frontend = resolve_frontend_dir(frontend_dir, announce=True) + + if bucket_id is not None: + create_bucket_if_not_exists(bucket_id, private=private) + + with open(Path(trackio_path, "README.md"), "r", encoding="utf-8") as f: + readme_content = f.read() + readme_content = readme_content.replace("sdk_version: {GRADIO_VERSION}\n", "") + readme_content = readme_content.replace("{APP_FILE}", "app.py") + readme_content = readme_content.replace( + "{LINKED_HUB_METADATA}", _readme_linked_hub_yaml(dataset_id) + ) + readme_buffer = io.BytesIO(readme_content.encode("utf-8")) + hf_api.upload_file( + path_or_fileobj=readme_buffer, + path_in_repo="README.md", + repo_id=space_id, + repo_type="space", + ) + + if is_source_install: + requirements_content = _get_source_install_dependencies() + else: + requirements_content = _get_space_install_requirement() + + requirements_buffer = io.BytesIO(requirements_content.encode("utf-8")) + hf_api.upload_file( + path_or_fileobj=requirements_buffer, + path_in_repo="requirements.txt", + repo_id=space_id, + repo_type="space", + ) + + huggingface_hub.utils.disable_progress_bars() + + if is_source_install: + dist_index = ( + Path(trackio.__file__).resolve().parent / "frontend" / "dist" / "index.html" + ) + if not dist_index.is_file() and not resolved_frontend.is_custom: + raise ValueError( + "The Trackio frontend build is missing. From the repository root run " + "`cd trackio/frontend && npm ci && npm run build`, then deploy again." + ) + hf_api.upload_folder( + repo_id=space_id, + repo_type="space", + folder_path=trackio_path, + path_in_repo="trackio", + ignore_patterns=[ + "README.md", + "frontend/node_modules/**", + "frontend/src/**", + "frontend/.gitignore", + "frontend/package.json", + "frontend/package-lock.json", + "frontend/vite.config.js", + "frontend/svelte.config.js", + "**/__pycache__/**", + "*.pyc", + ], + ) + + if resolved_frontend.is_custom: + _upload_frontend_folder( + hf_api, + repo_id=space_id, + repo_type="space", + folder_path=resolved_frontend.path, + path_in_repo=_CUSTOM_SPACE_FRONTEND_DIR, + ) + + app_file_content = _space_app_py( + _CUSTOM_SPACE_FRONTEND_DIR if resolved_frontend.is_custom else None + ) + app_file_buffer = io.BytesIO(app_file_content.encode("utf-8")) + hf_api.upload_file( + path_or_fileobj=app_file_buffer, + path_in_repo="app.py", + repo_id=space_id, + repo_type="space", + ) + + if hf_token := huggingface_hub.utils.get_token(): + huggingface_hub.add_space_secret(space_id, "HF_TOKEN", hf_token) + if bucket_id is not None: + _ensure_bucket_mounted_at_data(space_id, bucket_id, hf_api) + elif dataset_id is not None: + huggingface_hub.add_space_variable(space_id, "TRACKIO_DATASET_ID", dataset_id) + if logo_light_url := os.environ.get("TRACKIO_LOGO_LIGHT_URL"): + huggingface_hub.add_space_variable( + space_id, "TRACKIO_LOGO_LIGHT_URL", logo_light_url + ) + if logo_dark_url := os.environ.get("TRACKIO_LOGO_DARK_URL"): + huggingface_hub.add_space_variable( + space_id, "TRACKIO_LOGO_DARK_URL", logo_dark_url + ) + if plot_order := os.environ.get("TRACKIO_PLOT_ORDER"): + huggingface_hub.add_space_variable(space_id, "TRACKIO_PLOT_ORDER", plot_order) + if theme := os.environ.get("TRACKIO_THEME"): + huggingface_hub.add_space_variable(space_id, "TRACKIO_THEME", theme) + huggingface_hub.add_space_variable(space_id, "GRADIO_MCP_SERVER", "True") + + +def create_space_if_not_exists( + space_id: str, + space_storage: huggingface_hub.SpaceStorage | None = None, + dataset_id: str | None = None, + bucket_id: str | None = None, + private: bool | None = None, + frontend_dir: str | Path | None = None, +) -> bool: + """ + Creates a new Hugging Face Space if it does not exist. Returns True if a + new Space was created, False if an existing Space was found. + + Args: + space_id (`str`): + The ID of the Space to create. + space_storage ([`~huggingface_hub.SpaceStorage`], *optional*): + Choice of persistent storage tier for the Space. + dataset_id (`str`, *optional*): + Deprecated. Use `bucket_id` instead. + bucket_id (`str`, *optional*): + Full Hub bucket id (`namespace/name`) to attach via the Hub volumes API (platform mount). + Sets `TRACKIO_DIR` to the mount path. + private (`bool`, *optional*): + Whether to make the Space private. If `None` (default), the repo will be + public unless the organization's default is private. This value is ignored + if the repo already exists. + """ + if "/" not in space_id: + raise ValueError( + f"Invalid space ID: {space_id}. Must be in the format: username/reponame or orgname/reponame." + ) + if dataset_id is not None and "/" not in dataset_id: + raise ValueError( + f"Invalid dataset ID: {dataset_id}. Must be in the format: username/datasetname or orgname/datasetname." + ) + if bucket_id is not None and "/" not in bucket_id: + raise ValueError( + f"Invalid bucket ID: {bucket_id}. Must be in the format: username/bucketname or orgname/bucketname." + ) + try: + huggingface_hub.repo_info(space_id, repo_type="space") + print( + f"* Found existing space: {_BOLD_ORANGE}{SPACE_URL.format(space_id=space_id)}{_RESET}" + ) + if bucket_id is not None: + create_bucket_if_not_exists(bucket_id, private=private) + _ensure_bucket_mounted_at_data(space_id, bucket_id) + elif dataset_id is not None: + huggingface_hub.add_space_variable( + space_id, "TRACKIO_DATASET_ID", dataset_id + ) + resolved_frontend = resolve_frontend_dir(frontend_dir, announce=False) + if resolved_frontend.is_custom: + deploy_as_space( + space_id, + space_storage, + dataset_id, + bucket_id, + private, + frontend_dir=frontend_dir, + ) + return False + except RepositoryNotFoundError: + pass + except HfHubHTTPError as e: + if e.response.status_code in [401, 403]: # unauthorized or forbidden + print("Need 'write' access token to create a Spaces repo.") + huggingface_hub.login(add_to_git_credential=False) + else: + raise ValueError(f"Failed to create Space: {e}") + + print( + f"* Creating new space: {_BOLD_ORANGE}{SPACE_URL.format(space_id=space_id)}{_RESET}" + ) + deploy_as_space( + space_id, + space_storage, + dataset_id, + bucket_id, + private, + frontend_dir=frontend_dir, + ) + threading.Thread( + target=_warn_if_space_build_fails, args=(space_id,), daemon=True + ).start() + return True + + +def space_is_running(space_id: str) -> bool: + try: + info = huggingface_hub.HfApi().space_info(space_id, timeout=30) + return bool(info.runtime) and str(info.runtime.stage) == "RUNNING" + except Exception: + return False + + +def _warn_if_space_build_fails(space_id: str, timeout: int = 600) -> None: + hf_api = huggingface_hub.HfApi() + failure_stages = frozenset( + ("NO_APP_FILE", "CONFIG_ERROR", "BUILD_ERROR", "RUNTIME_ERROR") + ) + start = time.time() + while time.time() - start < timeout: + try: + info = hf_api.space_info(space_id, timeout=30) + if info.runtime: + stage = str(info.runtime.stage) + if stage in failure_stages: + print( + f"\n* WARNING: Space {space_id} failed to build (stage: {stage}). " + f"Logs are being saved to the Bucket and will appear once the Space " + f"is fixed; see the build logs at {SPACE_URL.format(space_id=space_id)}" + ) + return + if stage == "RUNNING": + return + except Exception: + pass + time.sleep(10) + + +def _wait_until_space_running(space_id: str, timeout: int = 300) -> None: + hf_api = huggingface_hub.HfApi() + start = time.time() + delay = 2 + request_timeout = 45.0 + failure_stages = frozenset( + ("NO_APP_FILE", "CONFIG_ERROR", "BUILD_ERROR", "RUNTIME_ERROR") + ) + while time.time() - start < timeout: + try: + info = hf_api.space_info(space_id, timeout=request_timeout) + if info.runtime: + stage = str(info.runtime.stage) + if stage in failure_stages: + raise RuntimeError( + f"Space {space_id} entered terminal stage {stage}. " + "Fix README.md or app files; see build logs on the Hub." + ) + if stage == "RUNNING": + return + except RuntimeError: + raise + except (huggingface_hub.utils.HfHubHTTPError, httpx.RequestError): + pass + time.sleep(delay) + delay = min(delay * 1.5, 15) + raise TimeoutError( + f"Space {space_id} did not reach RUNNING within {timeout}s. " + "Check status and build logs on the Hub." + ) + + +def wait_until_space_exists( + space_id: str, +) -> None: + """ + Blocks the current thread until the Space exists. + + Args: + space_id (`str`): + The ID of the Space to wait for. + + Raises: + `TimeoutError`: If waiting for the Space takes longer than expected. + """ + hf_api = huggingface_hub.HfApi() + delay = 1 + for _ in range(30): + try: + hf_api.space_info(space_id) + return + except (huggingface_hub.utils.HfHubHTTPError, httpx.RequestError): + time.sleep(delay) + delay = min(delay * 2, 60) + raise TimeoutError("Waiting for space to exist took longer than expected") + + +def upload_db_to_space(project: str, space_id: str, force: bool = False) -> None: + """ + Uploads the database of a local Trackio project to a Hugging Face Space. + + This uses the Trackio remote client so newer Trackio Spaces can speak the direct + HTTP API while older Gradio-based Spaces still work through `gradio_client`. + + Args: + project (`str`): + The name of the project to upload. + space_id (`str`): + The ID of the Space to upload to. + force (`bool`, *optional*, defaults to `False`): + If `True`, overwrites the existing database without prompting. If `False`, + prompts for confirmation. + """ + db_path = SQLiteStorage.get_project_db_path(project) + client = RemoteClient( + space_id, + hf_token=huggingface_hub.utils.get_token(), + httpx_kwargs={"timeout": 90}, + ) + + if not force: + try: + existing_projects = client.predict(api_name="/get_all_projects") + if project in existing_projects: + response = input( + f"Database for project '{project}' already exists on Space '{space_id}'. " + f"Overwrite it? (y/N): " + ) + if response.lower() not in ["y", "yes"]: + print("* Upload cancelled.") + return + except Exception as e: + print(f"* Warning: Could not check if project exists on Space: {e}") + print("* Proceeding with upload...") + + client.predict( + api_name="/upload_db_to_space", + project=project, + uploaded_db=handle_file(db_path), + hf_token=huggingface_hub.utils.get_token(), + ) + + +SYNC_BATCH_SIZE = 500 + + +def _replay_pending_uploads( + project: str, + client: "RemoteClient", + hf_token: str | None, +) -> None: + """Replay queued `pending_uploads` rows for `project` via `client` — the + out-of-Run sync path (`trackio sync`); see `replay_pending_uploads` for the + per-kind routing and clearing semantics. + """ + pending_uploads = SQLiteStorage.get_pending_uploads(project) + if not pending_uploads: + return + + def _warn_missing(count: int, sample: str) -> None: + print( + f" Warning: dropping {count} pending upload(s) whose local files " + f"no longer exist (e.g. {sample!r})." + ) + + replay_pending_uploads( + pending_uploads, + project, + predict=client.predict, + hf_token=hf_token, + warn_missing=_warn_missing, + verbose=True, + ) + + +def sync_incremental( + project: str, + space_id: str, + private: bool | None = None, + pending_only: bool = False, + frontend_dir: str | Path | None = None, +) -> None: + """ + Syncs a local Trackio project to a Space via the bulk_log API endpoints + instead of uploading the entire DB file. Supports incremental sync. + + Args: + project: The name of the project to sync. + space_id: The HF Space ID to sync to. + private: Whether to make the Space private if creating. + pending_only: If True, only sync rows tagged with space_id (pending data). + """ + print( + f"* Syncing project '{project}' to: {SPACE_URL.format(space_id=space_id)} (please wait...)" + ) + create_space_if_not_exists(space_id, private=private, frontend_dir=frontend_dir) + wait_until_space_exists(space_id) + hf_token = huggingface_hub.utils.get_token() + expected_run_counts: Counter[str] = Counter() + + client = RemoteClient( + space_id, + hf_token=hf_token, + httpx_kwargs={"timeout": 90}, + ) + + if pending_only: + pending_logs = SQLiteStorage.get_pending_logs(project) + if pending_logs: + logs = pending_logs["logs"] + expected_run_counts.update(log["run"] for log in logs) + for i in range(0, len(logs), SYNC_BATCH_SIZE): + batch = logs[i : i + SYNC_BATCH_SIZE] + print( + f" Syncing metrics: {min(i + SYNC_BATCH_SIZE, len(logs))}/{len(logs)}..." + ) + client.predict(api_name="/bulk_log", logs=batch, hf_token=hf_token) + SQLiteStorage.clear_pending_logs(project, pending_logs["ids"]) + + pending_sys = SQLiteStorage.get_pending_system_logs(project) + if pending_sys: + logs = pending_sys["logs"] + for i in range(0, len(logs), SYNC_BATCH_SIZE): + batch = logs[i : i + SYNC_BATCH_SIZE] + print( + f" Syncing system metrics: {min(i + SYNC_BATCH_SIZE, len(logs))}/{len(logs)}..." + ) + client.predict( + api_name="/bulk_log_system", logs=batch, hf_token=hf_token + ) + SQLiteStorage.clear_pending_system_logs(project, pending_sys["ids"]) + + _replay_pending_uploads(project, client, hf_token) + else: + all_logs = SQLiteStorage.get_all_logs_for_sync(project) + if all_logs: + expected_run_counts.update(log["run"] for log in all_logs) + for i in range(0, len(all_logs), SYNC_BATCH_SIZE): + batch = all_logs[i : i + SYNC_BATCH_SIZE] + print( + f" Syncing metrics: {min(i + SYNC_BATCH_SIZE, len(all_logs))}/{len(all_logs)}..." + ) + client.predict(api_name="/bulk_log", logs=batch, hf_token=hf_token) + + all_sys_logs = SQLiteStorage.get_all_system_logs_for_sync(project) + if all_sys_logs: + for i in range(0, len(all_sys_logs), SYNC_BATCH_SIZE): + batch = all_sys_logs[i : i + SYNC_BATCH_SIZE] + print( + f" Syncing system metrics: {min(i + SYNC_BATCH_SIZE, len(all_sys_logs))}/{len(all_sys_logs)}..." + ) + client.predict( + api_name="/bulk_log_system", logs=batch, hf_token=hf_token + ) + + _wait_for_remote_sync(client, project, expected_run_counts) + SQLiteStorage.set_project_metadata(project, "space_id", space_id) + print( + f"* Synced successfully to space: {_BOLD_ORANGE}{SPACE_URL.format(space_id=space_id)}{_RESET}" + ) + + +def _build_remote_client_with_retry( + space_id: str, + timeout: int = 360, + verbose: bool = False, +) -> RemoteClient: + deadline = time.time() + timeout + delay = 2 + last_error: Exception | None = None + while time.time() < deadline: + try: + return RemoteClient( + space_id, + hf_token=huggingface_hub.utils.get_token(), + verbose=verbose, + httpx_kwargs={"timeout": 90}, + ) + except (ValueError, ConnectionError) as e: + last_error = e + time.sleep(delay) + delay = min(delay * 1.5, 15) + raise ConnectionError( + f"Could not connect to Space '{space_id}' within {timeout}s: {last_error}" + ) + + +def _wait_for_remote_sync( + client: RemoteClient, + project: str, + expected_run_counts: Counter[str], + timeout: int = 180, +) -> None: + if not expected_run_counts: + return + + deadline = time.time() + timeout + delay = 2 + last_error: Exception | None = None + pending = dict(expected_run_counts) + + while time.time() < deadline and pending: + completed = [] + for run_name, expected_num_logs in pending.items(): + try: + summary = client.predict( + project=project, run=run_name, api_name="/get_run_summary" + ) + if summary.get("num_logs") == expected_num_logs: + completed.append(run_name) + except Exception as e: + last_error = e + for run_name in completed: + pending.pop(run_name, None) + if pending: + time.sleep(delay) + delay = min(delay * 1.5, 15) + + if pending: + raise TimeoutError( + f"Remote sync for project '{project}' did not become visible for runs " + f"{sorted(pending.items())} within {timeout}s. " + f"Last error: {last_error!r}" + ) + + +def upload_dataset_for_static( + project: str, + dataset_id: str, + private: bool | None = None, +) -> None: + hf_api = huggingface_hub.HfApi() + + try: + huggingface_hub.create_repo( + dataset_id, + private=private, + repo_type="dataset", + exist_ok=True, + ) + except HfHubHTTPError as e: + if e.response.status_code in [401, 403]: + print("Need 'write' access token to create a Dataset repo.") + huggingface_hub.login(add_to_git_credential=False) + huggingface_hub.create_repo( + dataset_id, + private=private, + repo_type="dataset", + exist_ok=True, + ) + else: + raise ValueError(f"Failed to create Dataset: {e}") + + def _upload_folder(folder: Path, path_in_repo: str, ignore_patterns=None) -> None: + if not folder.exists(): + return + _retry_hf_write( + f"Dataset {path_in_repo} upload", + lambda: hf_api.upload_folder( + repo_id=dataset_id, + repo_type="dataset", + folder_path=str(folder), + path_in_repo=path_in_repo, + ignore_patterns=ignore_patterns, + ), + ) + + with tempfile.TemporaryDirectory() as tmp_dir: + output_dir = Path(tmp_dir) + SQLiteStorage.export_for_static_space(project, output_dir) + + _upload_folder(project_media_dir(project), "media") + _upload_folder(project_artifacts_dir(project), "artifacts", [PARTIAL_BLOB_GLOB]) + + _retry_hf_write( + "Dataset upload", + lambda: hf_api.upload_folder( + repo_id=dataset_id, + repo_type="dataset", + folder_path=str(output_dir), + ), + ) + + print(f"* Dataset uploaded: https://huggingface.co/datasets/{dataset_id}") + + +def deploy_as_static_space( + space_id: str, + dataset_id: str | None, + project: str, + bucket_id: str | None = None, + private: bool | None = None, + hf_token: str | None = None, + frontend_dir: str | Path | None = None, +) -> None: + if on_spaces(): + return + + if private is True: + raise ValueError( + "private=True is not supported for static Trackio Spaces. Static Spaces " + "run entirely in the browser, so their snapshot data must be public. " + "Use sdk='gradio' for a private dashboard." + ) + hf_api = huggingface_hub.HfApi() + + try: + huggingface_hub.create_repo( + space_id, + private=False, + space_sdk="static", + repo_type="space", + exist_ok=True, + ) + except HfHubHTTPError as e: + if e.response.status_code in [401, 403]: + print("Need 'write' access token to create a Spaces repo.") + huggingface_hub.login(add_to_git_credential=False) + huggingface_hub.create_repo( + space_id, + private=False, + space_sdk="static", + repo_type="space", + exist_ok=True, + ) + else: + raise ValueError(f"Failed to create Space: {e}") + + linked = _readme_linked_hub_yaml(dataset_id) + readme_content = ( + f"---\nemoji: 🎯\nsdk: static\npinned: false\ntags:\n - trackio\n{linked}---\n" + ) + _retry_hf_write( + "Static Space README upload", + lambda: hf_api.upload_file( + path_or_fileobj=io.BytesIO(readme_content.encode("utf-8")), + path_in_repo="README.md", + repo_id=space_id, + repo_type="space", + ), + ) + + resolved_frontend = resolve_frontend_dir(frontend_dir, announce=True) + + _retry_hf_write( + "Static Space frontend upload", + lambda: hf_api.upload_folder( + repo_id=space_id, + repo_type="space", + folder_path=str(resolved_frontend.path), + ), + ) + + config = { + "mode": "static", + "project": project, + "private": bool(private), + } + if bucket_id is not None: + config["bucket_id"] = bucket_id + if dataset_id is not None: + config["dataset_id"] = dataset_id + if hf_token is not None: + warnings.warn( + "`hf_token` is ignored by deploy_as_static_space() for static Space " + "deployment and will be removed in a future release.", + DeprecationWarning, + stacklevel=2, + ) + + _retry_hf_write( + "Static Space config upload", + lambda: hf_api.upload_file( + path_or_fileobj=io.BytesIO(json_mod.dumps(config).encode("utf-8")), + path_in_repo="config.json", + repo_id=space_id, + repo_type="space", + ), + ) + + assets_dir = Path(trackio.__file__).resolve().parent / "assets" + if assets_dir.is_dir(): + _retry_hf_write( + "Static Space assets upload", + lambda: hf_api.upload_folder( + repo_id=space_id, + repo_type="space", + folder_path=str(assets_dir), + path_in_repo="static/trackio", + ), + ) + + print( + f"* Static Space deployed: {_BOLD_ORANGE}{SPACE_URL.format(space_id=space_id)}{_RESET}" + ) + + +def sync( + project: str, + space_id: str | None = None, + private: bool | None = None, + force: bool = False, + run_in_background: bool = False, + sdk: str = "gradio", + dataset_id: str | None = None, + bucket_id: str | None = None, + frontend_dir: str | Path | None = None, +) -> str: + """ + Syncs a local Trackio project's database to a Hugging Face Space. + If the Space does not exist, it will be created. Local data is never deleted. + + **Freezing:** Passing ``sdk="static"`` deploys a static Space backed by an HF Bucket + (read-only dashboard, no Gradio server). You can sync the same project again later to + refresh that static Space. If you want a one-time snapshot of an existing Gradio Space, + use ``freeze()`` instead. + + Args: + project (`str`): The name of the project to upload. + space_id (`str`, *optional*): The ID of the Space to upload to (e.g., `"username/space_id"`). + If not provided, checks project metadata first, then generates a random space_id. + private (`bool`, *optional*): + Whether to make the Space private. If None (default), the repo will be + public unless the organization's default is private. This value is ignored + if the repo already exists. Not supported with ``sdk="static"`` because + static Trackio dashboards read snapshot data directly from the browser. + force (`bool`, *optional*, defaults to `False`): + If `True`, overwrite the existing database without prompting for confirmation. + If `False`, prompt the user before overwriting an existing database. + run_in_background (`bool`, *optional*, defaults to `False`): + If `True`, the Space creation and database upload will be run in a background thread. + If `False`, all the steps will be run synchronously. + sdk (`str`, *optional*, defaults to `"gradio"`): + The type of Space to deploy. `"gradio"` deploys a Gradio Space with a live + server. `"static"` freezes the Space: deploys a static Space that reads from an HF Bucket + (no server needed). + dataset_id (`str`, *optional*): + Deprecated. Use `bucket_id` instead. + bucket_id (`str`, *optional*): + The ID of the HF Bucket to sync to. By default, a bucket is auto-generated + from the space_id. + Returns: + `str`: The Space ID of the synced project. + """ + if sdk not in ("gradio", "static"): + raise ValueError(f"sdk must be 'gradio' or 'static', got '{sdk}'") + if sdk == "static" and private is True: + raise ValueError( + "private=True is not supported for static Trackio Spaces. Static Spaces " + "run entirely in the browser, so their snapshot data must be public. " + "Use sdk='gradio' for a private dashboard." + ) + bucket_id_was_explicit = bucket_id is not None + + if space_id is None: + space_id = SQLiteStorage.get_space_id(project) + if space_id is None: + space_id = f"{project}-{get_or_create_project_hash(project)}" + space_id, dataset_id, bucket_id = preprocess_space_and_dataset_ids( + space_id, dataset_id, bucket_id + ) + if dataset_id is None and bucket_id is not None and not bucket_id_was_explicit: + bucket_id = resolve_auto_bucket_id(space_id, bucket_id) + + def _do_sync(): + try: + info = huggingface_hub.HfApi().space_info(space_id) + existing_sdk = info.sdk + if existing_sdk and existing_sdk != sdk: + raise ValueError( + f"Space '{space_id}' is a '{existing_sdk}' Space but sdk='{sdk}' was requested. " + f"The sdk must match the existing Space type." + ) + except RepositoryNotFoundError: + pass + + if sdk == "static": + if dataset_id is not None: + upload_dataset_for_static(project, dataset_id, private=False) + deploy_as_static_space( + space_id, + dataset_id, + project, + private=False, + frontend_dir=frontend_dir, + ) + elif bucket_id is not None: + create_bucket_if_not_exists(bucket_id, private=False) + upload_project_to_bucket_for_static(project, bucket_id) + print( + f"* Project data uploaded to bucket: https://huggingface.co/buckets/{bucket_id}" + ) + deploy_as_static_space( + space_id, + None, + project, + bucket_id=bucket_id, + private=False, + frontend_dir=frontend_dir, + ) + else: + if bucket_id is not None: + create_bucket_if_not_exists(bucket_id, private=private) + upload_project_to_bucket(project, bucket_id) + print( + f"* Project data uploaded to bucket: https://huggingface.co/buckets/{bucket_id}" + ) + create_space_if_not_exists( + space_id, + bucket_id=bucket_id, + private=private, + frontend_dir=frontend_dir, + ) + _wait_until_space_running(space_id) + _wait_for_remote_sync( + _build_remote_client_with_retry(space_id), + project, + Counter( + log["run"] + for log in SQLiteStorage.get_all_logs_for_sync(project) + ), + ) + else: + sync_incremental( + project, + space_id, + private=private, + pending_only=False, + frontend_dir=frontend_dir, + ) + SQLiteStorage.set_project_metadata(project, "space_id", space_id) + + if run_in_background: + threading.Thread(target=_do_sync).start() + else: + _do_sync() + return space_id + + +def _get_source_bucket(space_id: str) -> str: + bucket_id = _get_existing_space_bucket(space_id) + if bucket_id is not None: + _ensure_bucket_mounted_at_data(space_id, bucket_id) + return bucket_id + raise ValueError( + f"Space '{space_id}' has no bucket mounted at '/data'. " + f"freeze() requires the source Space to use bucket storage." + ) + + +def freeze( + space_id: str, + project: str, + new_space_id: str | None = None, + private: bool | None = None, + bucket_id: str | None = None, + frontend_dir: str | Path | None = None, +) -> str: + """ + Creates a new static Hugging Face Space containing a read-only snapshot of + the data for the specified project from the source Gradio Space. The data is + read from the bucket attached to the source Space at freeze time. The original + Space is not modified, and the new static Space does not automatically reflect + metrics uploaded to the original Gradio Space after the freeze completes. + + Args: + space_id (`str`): + The ID of the source Gradio Space (e.g., `"username/my-space"` or a + short repo name with the logged-in namespace inferred, like `init()`). + Must be a Gradio Space with a bucket mounted at `/data`. + project (`str`): + The name of the project whose data to include in the frozen Space. + new_space_id (`str`, *optional*): + The ID for the new static Space. If not provided, defaults to + `"{space_id}_static"`. + private (`bool`, *optional*): + Not supported. Frozen static dashboards read snapshot data directly + from the browser, so the destination snapshot must be public. + bucket_id (`str`, *optional*): + The ID of the HF Bucket for the new static Space's data storage. + If not provided, one is auto-generated from the new Space ID. + + Returns: + `str`: The Space ID of the newly created static Space. + """ + if private is True: + raise ValueError( + "private=True is not supported for frozen static Trackio Spaces. Static " + "Spaces run entirely in the browser, so their snapshot data must be " + "public. Use a Gradio Space if the frozen dashboard must stay private." + ) + space_id, _, _ = preprocess_space_and_dataset_ids(space_id, None, None) + + try: + info = huggingface_hub.HfApi().space_info(space_id) + if info.sdk != "gradio": + raise ValueError( + f"Space '{space_id}' is not a Gradio Space (sdk='{info.sdk}'). " + f"freeze() requires a Gradio Space as the source." + ) + except RepositoryNotFoundError: + raise ValueError( + f"Space '{space_id}' not found. Provide an existing Gradio Space ID." + ) + + source_bucket_id = _get_source_bucket(space_id) + print(f"* Reading project data from bucket: {source_bucket_id}") + + bucket_id_was_explicit = bucket_id is not None + + if new_space_id is None: + new_space_id = f"{space_id}_static" + new_space_id, _dataset_id, bucket_id = preprocess_space_and_dataset_ids( + new_space_id, None, bucket_id + ) + if bucket_id is not None and not bucket_id_was_explicit: + bucket_id = resolve_auto_bucket_id(new_space_id, bucket_id) + + hf_api = huggingface_hub.HfApi() + try: + dest_info = hf_api.space_info(new_space_id) + tags = dest_info.tags or [] + if dest_info.sdk != "static" or "trackio" not in tags: + raise ValueError( + f"Space '{new_space_id}' already exists and is not a Trackio static Space " + f"(sdk='{dest_info.sdk}', tags={tags}). Choose a different new_space_id " + f"or delete the existing Space first." + ) + except RepositoryNotFoundError: + pass + + create_bucket_if_not_exists(bucket_id, private=False) + export_from_bucket_for_static(source_bucket_id, bucket_id, project) + print( + f"* Project data uploaded to bucket: https://huggingface.co/buckets/{bucket_id}" + ) + deploy_as_static_space( + new_space_id, + None, + project, + bucket_id=bucket_id, + private=False, + frontend_dir=frontend_dir, + ) + return new_space_id diff --git a/trackio/dummy_commit_scheduler.py b/trackio/dummy_commit_scheduler.py new file mode 100644 index 0000000000000000000000000000000000000000..6068fe8a36b8647ade92dd300af0855f4338826f --- /dev/null +++ b/trackio/dummy_commit_scheduler.py @@ -0,0 +1,19 @@ +from concurrent.futures import Future + + +class DummyCommitSchedulerLock: + def __enter__(self): + return None + + def __exit__(self, exception_type, exception_value, exception_traceback): + pass + + +class DummyCommitScheduler: + def __init__(self): + self.lock = DummyCommitSchedulerLock() + + def trigger(self) -> Future: + fut: Future = Future() + fut.set_result(None) + return fut diff --git a/trackio/exceptions.py b/trackio/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..189f56d718245b65790ff43e14005b846aad2402 --- /dev/null +++ b/trackio/exceptions.py @@ -0,0 +1,2 @@ +class TrackioAPIError(Exception): + pass diff --git a/trackio/fragments.py b/trackio/fragments.py new file mode 100644 index 0000000000000000000000000000000000000000..4e70507516ace65cb1e4221482f384853001ffa2 --- /dev/null +++ b/trackio/fragments.py @@ -0,0 +1,368 @@ +"""Append-only JSONL fragments used as a durable fallback for metric logging. + +Fragments are immutable JSONL files, one writer (process) per subdirectory, so +concurrent training processes never contend on a shared file. They are written +either to a Hugging Face Bucket inbox (when a Space is unreachable) or to a +local inbox directory (when SQLite is unsafe, e.g. on network filesystems), and +are later imported into the project SQLite database by the process that owns it +(the Space or the dashboard server). Records carry the same ``log_id``/ +``alert_id`` UUIDs as the HTTP logging endpoints, and imports use +``INSERT OR IGNORE``, so importing a fragment is idempotent: fragments are +deleted only after a successful import, and re-importing after a crash is +harmless. +""" + +import tempfile +import threading +import uuid +from collections.abc import Callable +from pathlib import Path +from typing import Any + +import huggingface_hub +import orjson + +from trackio import utils +from trackio.typehints import AlertEntry, LogEntry, SystemLogEntry + +FRAGMENT_VERSION = 1 +INBOX_DIR_NAME = "inbox" +BUCKET_INBOX_PREFIX = "trackio/inbox" +BUCKET_MEDIA_PREFIX = "trackio/media" + +METRIC_KIND = "metric" +SYSTEM_METRIC_KIND = "system_metric" +ALERT_KIND = "alert" +KINDS = {METRIC_KIND, SYSTEM_METRIC_KIND, ALERT_KIND} + + +def local_inbox_dir() -> Path: + return utils.TRACKIO_DIR / INBOX_DIR_NAME + + +def metric_record(entry: LogEntry | dict) -> dict: + return { + "v": FRAGMENT_VERSION, + "kind": METRIC_KIND, + "project": entry["project"], + "run": entry["run"], + "run_id": entry.get("run_id"), + "metrics": utils.serialize_values(entry.get("metrics") or {}), + "step": entry.get("step"), + "timestamp": entry.get("timestamp"), + "config": utils.serialize_values(entry.get("config")) + if entry.get("config") + else None, + "log_id": entry.get("log_id"), + } + + +def system_metric_record(entry: SystemLogEntry | dict) -> dict: + return { + "v": FRAGMENT_VERSION, + "kind": SYSTEM_METRIC_KIND, + "project": entry["project"], + "run": entry["run"], + "run_id": entry.get("run_id"), + "metrics": utils.serialize_values(entry.get("metrics") or {}), + "timestamp": entry.get("timestamp"), + "log_id": entry.get("log_id"), + } + + +def alert_record(entry: AlertEntry | dict) -> dict: + return { + "v": FRAGMENT_VERSION, + "kind": ALERT_KIND, + "project": entry["project"], + "run": entry["run"], + "run_id": entry.get("run_id"), + "title": entry["title"], + "text": entry.get("text"), + "level": entry.get("level"), + "step": entry.get("step"), + "timestamp": entry.get("timestamp"), + "alert_id": entry.get("alert_id"), + } + + +def bucket_media_path( + project: str, + run: str | None, + step: int | None, + relative_path: str | None, + filename: str, +) -> str: + parts = [BUCKET_MEDIA_PREFIX, utils.canonical_project_name(project)] + if run: + parts.append(run) + if step is not None: + parts.append(str(step)) + else: + parts.append("files") + if relative_path: + parts.append(str(relative_path)) + parts.append(filename) + return "/".join(parts) + + +class FragmentWriter: + """Writes immutable JSONL fragments for a single writer (process).""" + + def __init__(self, writer_id: str | None = None): + self.writer_id = writer_id or uuid.uuid4().hex[:16] + self._seq = 0 + self._lock = threading.Lock() + + def _next_fragment_name(self) -> str: + with self._lock: + name = f"{self._seq:08d}.jsonl" + self._seq += 1 + return name + + @staticmethod + def serialize_records(records: list[dict]) -> bytes: + return b"".join(orjson.dumps(record) + b"\n" for record in records) + + def write_local( + self, records: list[dict], inbox_dir: Path | None = None + ) -> Path | None: + if not records: + return None + inbox = inbox_dir or local_inbox_dir() + writer_dir = inbox / self.writer_id + fragment_path = writer_dir / self._next_fragment_name() + data = self.serialize_records(records) + for attempt in range(3): + writer_dir.mkdir(parents=True, exist_ok=True) + try: + with tempfile.NamedTemporaryFile( + mode="wb", dir=writer_dir, suffix=".tmp", delete=False + ) as tmp: + tmp.write(data) + tmp_path = Path(tmp.name) + tmp_path.replace(fragment_path) + return fragment_path + except FileNotFoundError: + if attempt == 2 or writer_dir.exists(): + raise + + def write_to_bucket(self, records: list[dict], bucket_id: str) -> str | None: + if not records: + return None + remote_path = ( + f"{BUCKET_INBOX_PREFIX}/{self.writer_id}/{self._next_fragment_name()}" + ) + huggingface_hub.batch_bucket_files( + bucket_id, + add=[(self.serialize_records(records), remote_path)], + token=huggingface_hub.utils.get_token(), + ) + return remote_path + + +def parse_fragment_bytes(data: bytes) -> list[dict]: + records = [] + for line in data.splitlines(): + line = line.strip() + if not line: + continue + try: + record = orjson.loads(line) + except orjson.JSONDecodeError: + continue + if isinstance(record, dict) and record.get("kind") in KINDS: + records.append(record) + return records + + +def _group_by_run(records: list[dict]) -> dict[tuple, list[dict]]: + grouped: dict[tuple, list[dict]] = {} + for record in records: + key = (record.get("project"), record.get("run"), record.get("run_id")) + grouped.setdefault(key, []).append(record) + return grouped + + +def import_records(records: list[dict]) -> int: + from trackio.sqlite_storage import SQLiteStorage # noqa: PLC0415 + + metric_records = [r for r in records if r.get("kind") == METRIC_KIND] + system_records = [r for r in records if r.get("kind") == SYSTEM_METRIC_KIND] + alert_records = [r for r in records if r.get("kind") == ALERT_KIND] + imported = 0 + + for (project, run, run_id), group in _group_by_run(metric_records).items(): + if not project or not run: + continue + config = next((r["config"] for r in group if r.get("config")), None) + has_timestamps = all(r.get("timestamp") for r in group) + SQLiteStorage.bulk_log( + project=project, + run=run, + run_id=run_id, + metrics_list=[r.get("metrics") or {} for r in group], + steps=[r.get("step") for r in group], + timestamps=[r["timestamp"] for r in group] if has_timestamps else None, + config=config, + log_ids=[r.get("log_id") for r in group], + ) + imported += len(group) + + for (project, run, run_id), group in _group_by_run(system_records).items(): + if not project or not run: + continue + has_timestamps = all(r.get("timestamp") for r in group) + SQLiteStorage.bulk_log_system( + project=project, + run=run, + run_id=run_id, + metrics_list=[r.get("metrics") or {} for r in group], + timestamps=[r["timestamp"] for r in group] if has_timestamps else None, + log_ids=[r.get("log_id") for r in group], + ) + imported += len(group) + + for (project, run, run_id), group in _group_by_run(alert_records).items(): + if not project or not run: + continue + has_timestamps = all(r.get("timestamp") for r in group) + SQLiteStorage.bulk_alert( + project=project, + run=run, + run_id=run_id, + titles=[r.get("title") or "" for r in group], + texts=[r.get("text") for r in group], + levels=[r.get("level") or "WARN" for r in group], + steps=[r.get("step") for r in group], + timestamps=[r["timestamp"] for r in group] if has_timestamps else None, + alert_ids=[r.get("alert_id") for r in group], + ) + imported += len(group) + + return imported + + +def import_inbox_dir(inbox_dir: Path | None = None) -> int: + inbox = inbox_dir or local_inbox_dir() + if not inbox.exists(): + return 0 + imported = 0 + for fragment_path in sorted(inbox.rglob("*.jsonl")): + try: + data = fragment_path.read_bytes() + except OSError: + continue + records = parse_fragment_bytes(data) + if records: + imported += import_records(records) + try: + fragment_path.unlink() + except OSError: + pass + for writer_dir in inbox.glob("*"): + if writer_dir.is_dir(): + try: + writer_dir.rmdir() + except OSError: + pass + return imported + + +def list_bucket_inbox_paths(bucket_id: str) -> list[str]: + try: + items = huggingface_hub.list_bucket_tree( + bucket_id, + prefix=BUCKET_INBOX_PREFIX, + recursive=True, + token=huggingface_hub.utils.get_token(), + ) + except Exception: + return [] + return sorted( + item.path + for item in items + if getattr(item, "type", None) == "file" + and getattr(item, "path", "").endswith(".jsonl") + ) + + +def import_inbox_from_bucket(bucket_id: str) -> int: + paths = list_bucket_inbox_paths(bucket_id) + if not paths: + return 0 + imported = 0 + consumed: list[str] = [] + with tempfile.TemporaryDirectory() as tmp_dir: + for i, remote_path in enumerate(paths): + local_path = Path(tmp_dir) / f"{i}.jsonl" + try: + huggingface_hub.download_bucket_files( + bucket_id, + files=[(remote_path, str(local_path))], + token=huggingface_hub.utils.get_token(), + ) + records = parse_fragment_bytes(local_path.read_bytes()) + except Exception: + continue + if records: + imported += import_records(records) + consumed.append(remote_path) + if consumed: + try: + huggingface_hub.batch_bucket_files( + bucket_id, + delete=consumed, + token=huggingface_hub.utils.get_token(), + ) + except Exception: + pass + return imported + + +def _add_files_to_bucket(bucket_id: str, additions: list[tuple[str, str]]) -> None: + if additions: + huggingface_hub.batch_bucket_files( + bucket_id, + add=additions, + token=huggingface_hub.utils.get_token(), + ) + + +def _upload_files_to_bucket( + bucket_id: str, + uploads: list[dict[str, Any]], + remote_path: Callable[[dict[str, Any], Path], str], +) -> None: + _add_files_to_bucket( + bucket_id, + [ + (str(p), remote_path(upload, p)) + for upload in uploads + if (p := Path(upload["file_path"])).exists() + ], + ) + + +def upload_media_files_to_bucket(bucket_id: str, uploads: list[dict[str, Any]]) -> None: + _upload_files_to_bucket( + bucket_id, + uploads, + lambda upload, p: bucket_media_path( + project=upload["project"], + run=upload.get("run"), + step=upload.get("step"), + relative_path=upload.get("relative_path"), + filename=p.name, + ), + ) + + +def upload_artifact_blobs_to_bucket( + bucket_id: str, uploads: list[dict[str, Any]] +) -> None: + _upload_files_to_bucket( + bucket_id, + uploads, + lambda upload, p: f"trackio/{p.relative_to(utils.TRACKIO_DIR).as_posix()}", + ) diff --git a/trackio/frontend/dist/assets/index-m3jgYXoS.css b/trackio/frontend/dist/assets/index-m3jgYXoS.css new file mode 100644 index 0000000000000000000000000000000000000000..833885e1b452f5e0d430ccfaeb379a59a6f7e6c9 --- /dev/null +++ b/trackio/frontend/dist/assets/index-m3jgYXoS.css @@ -0,0 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r=n.reduceFieldDef((i,s,a)=>{if(bi(s)&&xn(s.bin)){const{key:o,binComponent:l}=y8(s,s.bin,n);i[o]={...l,...i[o],...vxe(n,s,a,n.config)}}return i},{});return dn(r)?null:new no(t,r)}static makeFromTransform(t,n,r){const{key:i,binComponent:s}=y8(n,n.bin,r);return new no(t,{[i]:s})}merge(t,n){for(const r of Fe(t.bins))r in this.bins?(n(t.bins[r].signal,this.bins[r].signal),this.bins[r].as=Xa([...this.bins[r].as,...t.bins[r].as],Gt)):this.bins[r]=t.bins[r];for(const r of t.children)t.removeChild(r),r.parent=this;t.remove()}producedFields(){return new Set(Lr(this.bins).map(t=>t.as).flat(2))}dependentFields(){return new Set(Lr(this.bins).map(t=>t.field))}hash(){return`Bin ${Gt(this.bins)}`}assemble(){return Lr(this.bins).flatMap(t=>{const n=[],[r,...i]=t.as,{extent:s,...a}=t.bin,o={type:"bin",field:Ps(t.field),as:r,signal:t.signal,...a2(s)?{extent:null}:{extent:s},...t.span?{span:{signal:`span(${t.span})`}}:{},...a};!s&&t.extentSignal&&(n.push({type:"extent",field:Ps(t.field),signal:t.extentSignal}),o.extent={signal:t.extentSignal}),n.push(o);for(const l of i)for(let u=0;u<2;u++)n.push({type:"formula",expr:ze({field:r[u]},{expr:"datum"}),as:l[u]});return t.formula&&n.push({type:"formula",expr:t.formula,as:t.formulaAs}),n})}}function _xe(e,t,n,r){var s;const i=Dn(r)?r.encoding[ko(t)]:void 0;if(bi(n)&&Dn(r)&&vj(n,i,r.markDef,r.config)){e.add(ze(n,{})),e.add(ze(n,{suffix:"end"}));const{mark:a,markDef:o,config:l}=r,u=gu({fieldDef:n,markDef:o,config:l});Ug(a)&&u!==.5&&Xn(t)&&(e.add(ze(n,{suffix:A2})),e.add(ze(n,{suffix:k2}))),n.bin&&X0(n,t)&&e.add(ze(n,{binSuffix:"range"}))}else if(pz(t)){const a=hz(t);e.add(r.getName(a))}else e.add(ze(n));return Cf(n)&&J1e((s=n.scale)==null?void 0:s.range)&&e.add(n.scale.range.field),e}function xxe(e,t){for(const n of Fe(t)){const r=t[n];for(const i of Fe(r))n in e?e[n][i]=new Set([...e[n][i]??[],...r[i]]):e[n]={[i]:r[i]}}}class ua extends cn{clone(){return new ua(null,new Set(this.dimensions),Ct(this.measures))}constructor(t,n,r){super(t),this.dimensions=n,this.measures=r}get groupBy(){return this.dimensions}static makeFromEncoding(t,n){let r=!1;n.forEachFieldDef(a=>{a.aggregate&&(r=!0)});const i={},s=new Set;return!r||(n.forEachFieldDef((a,o)=>{const{aggregate:l,field:u}=a;if(l)if(l==="count")i["*"]??(i["*"]={}),i["*"].count=new Set([ze(a,{forAs:!0})]);else{if(cl(l)||Ou(l)){const c=cl(l)?"argmin":"argmax",f=l[c];i[f]??(i[f]={}),i[f][c]=new Set([ze({op:c,field:f},{forAs:!0})])}else i[u]??(i[u]={}),i[u][l]=new Set([ze(a,{forAs:!0})]);So(o)&&n.scaleDomain(o)==="unaggregated"&&(i[u]??(i[u]={}),i[u].min=new Set([ze({field:u,aggregate:"min"},{forAs:!0})]),i[u].max=new Set([ze({field:u,aggregate:"max"},{forAs:!0})]))}else _xe(s,o,a,n)}),s.size+Fe(i).length===0)?null:new ua(t,s,i)}static makeFromTransform(t,n){var r;const i=new Set,s={};for(const a of n.aggregate){const{op:o,field:l,as:u}=a;o&&(o==="count"?(s["*"]??(s["*"]={}),s["*"].count=new Set([u||ze(a,{forAs:!0})])):(s[l]??(s[l]={}),(r=s[l])[o]??(r[o]=new Set),s[l][o].add(u||ze(a,{forAs:!0}))))}for(const a of n.groupby??[])i.add(a);return i.size+Fe(s).length===0?null:new ua(t,i,s)}merge(t){return sz(this.dimensions,t.dimensions)?(xxe(this.measures,t.measures),!0):(E1e("different dimensions, cannot merge"),!1)}addDimensions(t){t.forEach(this.dimensions.add,this.dimensions)}dependentFields(){return new Set([...this.dimensions,...Fe(this.measures)])}producedFields(){const t=new Set;for(const n of Fe(this.measures))for(const r of Fe(this.measures[n])){const i=this.measures[n][r];i.size===0?t.add(`${r}_${n}`):i.forEach(t.add,t)}return t}hash(){return`Aggregate ${Gt({dimensions:this.dimensions,measures:this.measures})}`}assemble(){const t=[],n=[],r=[];for(const s of Fe(this.measures))for(const a of Fe(this.measures[s]))for(const o of this.measures[s][a])r.push(o),t.push(a),n.push(s==="*"?null:Ps(s));return{type:"aggregate",groupby:[...this.dimensions].map(Ps),ops:t,fields:n,as:r}}}class zh extends cn{constructor(t,n,r,i){super(t),this.model=n,this.name=r,this.data=i;for(const s of Ss){const a=n.facet[s];if(a){const{bin:o,sort:l}=a;this[s]={name:n.getName(`${s}_domain`),fields:[ze(a),...xn(o)?[ze(a,{binSuffix:"end"})]:[]],...nl(l)?{sortField:l}:Se(l)?{sortIndexField:ch(a,s)}:{}}}}this.childModel=n.child}hash(){let t="Facet";for(const n of Ss)this[n]&&(t+=` ${n.charAt(0)}:${Gt(this[n])}`);return t}get fields(){var n;const t=[];for(const r of Ss)(n=this[r])!=null&&n.fields&&t.push(...this[r].fields);return t}dependentFields(){const t=new Set(this.fields);for(const n of Ss)this[n]&&(this[n].sortField&&t.add(this[n].sortField.field),this[n].sortIndexField&&t.add(this[n].sortIndexField));return t}producedFields(){return new Set}getSource(){return this.name}getChildIndependentFieldsWithStep(){const t={};for(const n of bl){const r=this.childModel.component.scales[n];if(r&&!r.merged){const i=r.get("type"),s=r.get("range");if(Er(i)&&Af(s)){const a=N2(this.childModel,n),o=R5(a);o?t[n]=o:Te(D$(n))}}}return t}assembleRowColumnHeaderData(t,n,r){const i={row:"y",column:"x",facet:void 0}[t],s=[],a=[],o=[];i&&r&&r[i]&&(n?(s.push(`distinct_${r[i]}`),a.push("max")):(s.push(r[i]),a.push("distinct")),o.push(`distinct_${r[i]}`));const{sortField:l,sortIndexField:u}=this[t];if(l){const{op:c=p2,field:f}=l;s.push(f),a.push(c),o.push(ze(l,{forAs:!0}))}else u&&(s.push(u),a.push("max"),o.push(u));return{name:this[t].name,source:n??this.data,transform:[{type:"aggregate",groupby:this[t].fields,...s.length?{fields:s,ops:a,as:o}:{}}]}}assembleFacetHeaderData(t){var l;const{columns:n}=this.model.layout,{layoutHeaders:r}=this.model.component,i=[],s={};for(const u of k5){for(const c of S5){const f=(r[u]&&r[u][c])??[];for(const d of f)if(((l=d.axes)==null?void 0:l.length)>0){s[u]=!0;break}}if(s[u]){const c=`length(data("${this.facet.name}"))`,f=u==="row"?n?{signal:`ceil(${c} / ${n})`}:1:n?{signal:`min(${c}, ${n})`}:{signal:c};i.push({name:`${this.facet.name}_${u}`,transform:[{type:"sequence",start:0,stop:f}]})}}const{row:a,column:o}=s;return(a||o)&&i.unshift(this.assembleRowColumnHeaderData("facet",null,t)),i}assemble(){const t=[];let n=null;const r=this.getChildIndependentFieldsWithStep(),{column:i,row:s,facet:a}=this;if(i&&s&&(r.x||r.y)){n=`cross_${this.column.name}_${this.row.name}`;const o=[].concat(r.x??[],r.y??[]),l=o.map(()=>"distinct");t.push({name:n,source:this.data,transform:[{type:"aggregate",groupby:this.fields,fields:o,ops:l}]})}for(const o of[tl,el])this[o]&&t.push(this.assembleRowColumnHeaderData(o,n,r));if(a){const o=this.assembleFacetHeaderData(r);o&&t.push(...o)}return t}}function b8(e){return e.startsWith("'")&&e.endsWith("'")||e.startsWith('"')&&e.endsWith('"')?e.slice(1,-1):e}function wxe(e,t){const n=b$(e);if(t==="number")return`toNumber(${n})`;if(t==="boolean")return`toBoolean(${n})`;if(t==="string")return`toString(${n})`;if(t==="date")return`toDate(${n})`;if(t==="flatten")return n;if(t.startsWith("date:")){const r=b8(t.slice(5,t.length));return`timeParse(${n},'${r}')`}else if(t.startsWith("utc:")){const r=b8(t.slice(4,t.length));return`utcParse(${n},'${r}')`}else return Te(Tme(t)),null}function Exe(e){const t={};return O1(e.filter,n=>{if(Vz(n)){let r=null;L$(n)?r=Qi(n.equal):P$(n)?r=Qi(n.lte):I$(n)?r=Qi(n.lt):B$(n)?r=Qi(n.gt):z$(n)?r=Qi(n.gte):j$(n)?r=n.range[0]:U$(n)&&(r=(n.oneOf??n.in)[0]),r&&(kf(r)?t[n.field]="date":Qt(r)?t[n.field]="number":We(r)&&(t[n.field]="string")),n.timeUnit&&(t[n.field]="date")}}),t}function Axe(e){const t={};function n(r){ah(r)?t[r.field]="date":r.type==="quantitative"&&ame(r.aggregate)?t[r.field]="number":eh(r.field)>1?r.field in t||(t[r.field]="flatten"):Cf(r)&&nl(r.sort)&&eh(r.sort.field)>1&&(r.sort.field in t||(t[r.sort.field]="flatten"))}if((Dn(e)||os(e))&&e.forEachFieldDef((r,i)=>{if(bi(r))n(r);else{const s=wf(i),a=e.fieldDef(s);n({...r,type:a.type})}}),Dn(e)){const{mark:r,markDef:i,encoding:s}=e;if(Lu(r)&&!e.encoding.order){const a=i.orient==="horizontal"?"y":"x",o=s[a];Oe(o)&&o.type==="quantitative"&&!(o.field in t)&&(t[o.field]="number")}}return t}function kxe(e){const t={};if(Dn(e)&&e.component.selection)for(const n of Fe(e.component.selection)){const r=e.component.selection[n];for(const i of r.project.items)!i.channel&&eh(i.field)>1&&(t[i.field]="flatten")}return t}class Yr extends cn{clone(){return new Yr(null,Ct(this._parse))}constructor(t,n){super(t),this._parse=n}hash(){return`Parse ${Gt(this._parse)}`}static makeExplicit(t,n,r){var a;let i={};const s=n.data;return!eu(s)&&((a=s==null?void 0:s.format)!=null&&a.parse)&&(i=s.format.parse),this.makeWithAncestors(t,i,{},r)}static makeWithAncestors(t,n,r,i){for(const o of Fe(r)){const l=i.getWithExplicit(o);l.value!==void 0&&(l.explicit||l.value===r[o]||l.value==="derived"||r[o]==="flatten"?delete r[o]:Te(w6(o,r[o],l.value)))}for(const o of Fe(n)){const l=i.get(o);l!==void 0&&(l===n[o]?delete n[o]:Te(w6(o,n[o],l)))}const s=new xl(n,r);i.copyAll(s);const a={};for(const o of Fe(s.combine())){const l=s.get(o);l!==null&&(a[o]=l)}return Fe(a).length===0||i.parseNothing?null:new Yr(t,a)}get parse(){return this._parse}merge(t){this._parse={...this._parse,...t.parse},t.remove()}assembleFormatParse(){const t={};for(const n of Fe(this._parse)){const r=this._parse[n];eh(n)===1&&(t[n]=r)}return t}producedFields(){return new Set(Fe(this._parse))}dependentFields(){return new Set(Fe(this._parse))}assembleTransforms(t=!1){return Fe(this._parse).filter(n=>t?eh(n)>1:!0).map(n=>{const r=wxe(n,this._parse[n]);return r?{type:"formula",expr:r,as:Oh(n)}:null}).filter(n=>n!==null)}}class vu extends cn{clone(){return new vu(null)}constructor(t){super(t)}dependentFields(){return new Set}producedFields(){return new Set([ya])}hash(){return"Identifier"}assemble(){return{type:"identifier",as:ya}}}class tm extends cn{clone(){return new tm(null,this.params)}constructor(t,n){super(t),this.params=n}dependentFields(){return new Set}producedFields(){}hash(){return`Graticule ${Gt(this.params)}`}assemble(){return{type:"graticule",...this.params===!0?{}:this.params}}}class nm extends cn{clone(){return new nm(null,this.params)}constructor(t,n){super(t),this.params=n}dependentFields(){return new Set}producedFields(){return new Set([this.params.as??"data"])}hash(){return`Hash ${Gt(this.params)}`}assemble(){return{type:"sequence",...this.params}}}class cf extends cn{constructor(t){super(null),t??(t={name:"source"});let n;if(eu(t)||(n=t.format?{...Li(t.format,["parse"])}:{}),qg(t))this._data={values:t.values};else if(oh(t)){if(this._data={url:t.url},!n.type){let r=/(?:\.([^.]+))?$/.exec(t.url)[1];Ut(["json","csv","tsv","dsv","topojson"],r)||(r="json"),n.type=r}}else fU(t)?this._data={values:[{type:"Sphere"}]}:(uU(t)||eu(t))&&(this._data={});this._generator=eu(t),t.name&&(this._name=t.name),n&&!dn(n)&&(this._data.format=n)}dependentFields(){return new Set}producedFields(){}get data(){return this._data}hasName(){return!!this._name}get isGenerator(){return this._generator}get dataName(){return this._name}set dataName(t){this._name=t}set parent(t){throw new Error("Source nodes have to be roots.")}remove(){throw new Error("Source nodes are roots and cannot be removed.")}hash(){throw new Error("Cannot hash sources")}assemble(){return{name:this._name,...this._data,transform:[]}}}var _8=function(e,t,n,r,i){if(r==="m")throw new TypeError("Private method is not writable");if(r==="a"&&!i)throw new TypeError("Private accessor was defined without a setter");if(typeof t=="function"?e!==t||!i:!t.has(e))throw new TypeError("Cannot write private member to an object whose class did not declare it");return r==="a"?i.call(e,n):i?i.value=n:t.set(e,n),n},Sxe=function(e,t,n,r){if(n==="a"&&!r)throw new TypeError("Private accessor was defined without a getter");if(typeof t=="function"?e!==t||!r:!t.has(e))throw new TypeError("Cannot read private member from an object whose class did not declare it");return n==="m"?r:n==="a"?r.call(e):r?r.value:t.get(e)},Hp;function D5(e){return e instanceof cf||e instanceof tm||e instanceof nm}class M5{constructor(){Hp.set(this,void 0),_8(this,Hp,!1,"f")}setModified(){_8(this,Hp,!0,"f")}get modifiedFlag(){return Sxe(this,Hp,"f")}}Hp=new WeakMap;class Ff extends M5{getNodeDepths(t,n,r){r.set(t,n);for(const i of t.children)this.getNodeDepths(i,n+1,r);return r}optimize(t){const r=[...this.getNodeDepths(t,0,new Map).entries()].sort((i,s)=>s[1]-i[1]);for(const i of r)this.run(i[0]);return this.modifiedFlag}}class T5 extends M5{optimize(t){this.run(t);for(const n of t.children)this.optimize(n);return this.modifiedFlag}}class Cxe extends T5{mergeNodes(t,n){const r=n.shift();for(const i of n)t.removeChild(i),i.parent=r,i.remove()}run(t){const n=t.children.map(i=>i.hash()),r={};for(let i=0;i1&&(this.setModified(),this.mergeNodes(t,r[i]))}}class $xe extends T5{constructor(t){super(),this.requiresSelectionId=t&&x5(t)}run(t){t instanceof vu&&(this.requiresSelectionId&&(D5(t.parent)||t.parent instanceof ua||t.parent instanceof Yr)||(this.setModified(),t.remove()))}}class Fxe extends M5{optimize(t){return this.run(t,new Set),this.modifiedFlag}run(t,n){let r=new Set;t instanceof eo&&(r=t.producedFields(),v$(r,n)&&(this.setModified(),t.removeFormulas(n),t.producedFields.length===0&&t.remove()));for(const i of t.children)this.run(i,new Set([...n,...r]))}}class Dxe extends T5{constructor(){super()}run(t){t instanceof Ii&&!t.isRequired()&&(this.setModified(),t.remove())}}class Mxe extends Ff{run(t){if(!D5(t)&&!(t.numChildren()>1)){for(const n of t.children)if(n instanceof Yr)if(t instanceof Yr)this.setModified(),t.merge(n);else{if(y$(t.producedFields(),n.dependentFields()))continue;this.setModified(),n.swapWithParent()}}}}class Txe extends Ff{run(t){const n=[...t.children],r=t.children.filter(i=>i instanceof Yr);if(t.numChildren()>1&&r.length>=1){const i={},s=new Set;for(const a of r){const o=a.parse;for(const l of Fe(o))l in i?i[l]!==o[l]&&s.add(l):i[l]=o[l]}for(const a of s)delete i[a];if(!dn(i)){this.setModified();const a=new Yr(t,i);for(const o of n){if(o instanceof Yr)for(const l of Fe(i))delete o.parse[l];t.removeChild(o),o.parent=a,o instanceof Yr&&Fe(o.parse).length===0&&o.remove()}}}}}class Rxe extends Ff{run(t){t instanceof Ii||t.numChildren()>0||t instanceof zh||t instanceof cf||(this.setModified(),t.remove())}}class Nxe extends Ff{run(t){const n=t.children.filter(i=>i instanceof eo),r=n.pop();for(const i of n)this.setModified(),r.merge(i)}}class Oxe extends Ff{run(t){const n=t.children.filter(i=>i instanceof ua),r={};for(const i of n){const s=Gt(i.groupBy);s in r||(r[s]=[]),r[s].push(i)}for(const i of Fe(r)){const s=r[i];if(s.length>1){const a=s.pop();for(const o of s)a.merge(o)&&(t.removeChild(o),o.parent=a,o.remove(),this.setModified())}}}}class Lxe extends Ff{constructor(t){super(),this.model=t}run(t){const n=!(D5(t)||t instanceof Bh||t instanceof Yr||t instanceof vu),r=[],i=[];for(const s of t.children)s instanceof no&&(n&&!y$(t.producedFields(),s.dependentFields())?r.push(s):i.push(s));if(r.length>0){const s=r.pop();for(const a of r)s.merge(a,this.model.renameSignal.bind(this.model));this.setModified(),t instanceof no?t.merge(s,this.model.renameSignal.bind(this.model)):s.swapWithParent()}if(i.length>1){const s=i.pop();for(const a of i)s.merge(a,this.model.renameSignal.bind(this.model));this.setModified()}}}class Ixe extends Ff{run(t){const n=[...t.children];if(!Qd(n,a=>a instanceof Ii)||t.numChildren()<=1)return;const i=[];let s;for(const a of n)if(a instanceof Ii){let o=a;for(;o.numChildren()===1;){const[l]=o.children;if(l instanceof Ii)o=l;else break}i.push(...o.children),s?(t.removeChild(a),a.parent=s.parent,s.parent.removeChild(s),s.parent=o,this.setModified()):s=o}else i.push(a);if(i.length){this.setModified();for(const a of i)a.parent.removeChild(a),a.parent=s}}}class Df extends cn{clone(){return new Df(null,Ct(this.transform))}constructor(t,n){super(t),this.transform=n}addDimensions(t){this.transform.groupby=Xa(this.transform.groupby.concat(t),n=>n)}dependentFields(){const t=new Set;return this.transform.groupby&&this.transform.groupby.forEach(t.add,t),this.transform.joinaggregate.map(n=>n.field).filter(n=>n!==void 0).forEach(t.add,t),t}producedFields(){return new Set(this.transform.joinaggregate.map(this.getDefaultName))}getDefaultName(t){return t.as??ze(t)}hash(){return`JoinAggregateTransform ${Gt(this.transform)}`}assemble(){const t=[],n=[],r=[];for(const s of this.transform.joinaggregate)n.push(s.op),r.push(this.getDefaultName(s)),t.push(s.field===void 0?null:s.field);const 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t.length>0?{type:"filter",expr:t.join(" && ")}:null}}function zA(e){return`isValid(${e}) && isFinite(+${e})`}function Pxe(e){return e.stack.stackBy.reduce((t,n)=>{const r=n.fieldDef,i=ze(r);return i&&t.push(i),t},[])}function Bxe(e){return Se(e)&&e.every(t=>We(t))&&e.length>1}class il extends cn{clone(){return new il(null,Ct(this._stack))}constructor(t,n){super(t),this._stack=n}static makeFromTransform(t,n){const{stack:r,groupby:i,as:s,offset:a="zero"}=n,o=[],l=[];if(n.sort!==void 0)for(const f of n.sort)o.push(f.field),l.push(Vn(f.order,"ascending"));const u={field:o,order:l};let c;return Bxe(s)?c=s:We(s)?c=[s,`${s}_end`]:c=[`${n.stack}_start`,`${n.stack}_end`],new il(t,{dimensionFieldDefs:[],stackField:r,groupby:i,offset:a,sort:u,facetby:[],as:c})}static makeFromEncoding(t,n){const r=n.stack,{encoding:i}=n;if(!r)return null;const{groupbyChannels:s,fieldChannel:a,offset:o,impute:l}=r,u=s.map(h=>{const p=i[h];return va(p)}).filter(h=>!!h),c=Pxe(n),f=n.encoding.order;let d;if(Se(f)||Oe(f))d=$z(f);else{const h=yj(f)?f.sort:a==="y"?"descending":"ascending";d=c.reduce((p,g)=>(p.field.includes(g)||(p.field.push(g),p.order.push(h)),p),{field:[],order:[]})}return new il(t,{dimensionFieldDefs:u,stackField:n.vgField(a),facetby:[],stackby:c,sort:d,offset:o,impute:l,as:[n.vgField(a,{suffix:"start",forAs:!0}),n.vgField(a,{suffix:"end",forAs:!0})]})}get stack(){return this._stack}addDimensions(t){this._stack.facetby.push(...t)}dependentFields(){const t=new Set;return t.add(this._stack.stackField),this.getGroupbyFields().forEach(t.add,t),this._stack.facetby.forEach(t.add,t),this._stack.sort.field.forEach(t.add,t),t}producedFields(){return new Set(this._stack.as)}hash(){return`Stack ${Gt(this._stack)}`}getGroupbyFields(){const{dimensionFieldDefs:t,impute:n,groupby:r}=this._stack;return t.length>0?t.map(i=>i.bin?n?[ze(i,{binSuffix:"mid"})]:[ze(i,{}),ze(i,{binSuffix:"end"})]:[ze(i)]).flat():r??[]}assemble(){const t=[],{facetby:n,dimensionFieldDefs:r,stackField:i,stackby:s,sort:a,offset:o,impute:l,as:u}=this._stack;if(l)for(const c of r){const{bandPosition:f=.5,bin:d}=c;if(d){const h=ze(c,{expr:"datum"}),p=ze(c,{expr:"datum",binSuffix:"end"});t.push({type:"formula",expr:`${zA(h)} ? ${f}*${h}+${1-f}*${p} : ${h}`,as:ze(c,{binSuffix:"mid",forAs:!0})})}t.push({type:"impute",field:i,groupby:[...s,...n],key:ze(c,{binSuffix:"mid"}),method:"value",value:0})}return t.push({type:"stack",groupby:[...this.getGroupbyFields(),...n],field:i,sort:a,as:u,offset:o}),t}}class jh extends cn{clone(){return new jh(null,Ct(this.transform))}constructor(t,n){super(t),this.transform=n}addDimensions(t){this.transform.groupby=Xa(this.transform.groupby.concat(t),n=>n)}dependentFields(){const t=new Set;return(this.transform.groupby??[]).forEach(t.add,t),(this.transform.sort??[]).forEach(n=>t.add(n.field)),this.transform.window.map(n=>n.field).filter(n=>n!==void 0).forEach(t.add,t),t}producedFields(){return new 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e.explicit&&t.explicit&&Te(a1e(n,r,e.value,t.value)),{explicit:e.explicit,value:[...e.value,...t.value]}}function Xxe(e){const t=Xa(e.map(a=>{if(Vo(a)){const{sort:o,...l}=a;return l}return a}),Gt),n=Xa(e.map(a=>{if(Vo(a)){const o=a.sort;return o!==void 0&&!zg(o)&&("op"in o&&o.op==="count"&&delete o.field,o.order==="ascending"&&delete o.order),o}}).filter(a=>a!==void 0),Gt);if(t.length===0)return;if(t.length===1){const a=e[0];if(Vo(a)&&n.length>0){let o=n[0];if(n.length>1){Te(A6);const l=n.filter(u=>Ue(u)&&"op"in u&&u.op!=="min");n.every(u=>Ue(u)&&"op"in u)&&l.length===1?o=l[0]:o=!0}else if(Ue(o)&&"field"in o){const l=o.field;a.field===l&&(o=o.order?{order:o.order}:!0)}return{...a,sort:o}}return a}const r=Xa(n.map(a=>zg(a)||!("op"in a)||We(a.op)&&Ve(ime,a.op)?a:(Te(l1e(a)),!0)),Gt);let i;r.length===1?i=r[0]:r.length>1&&(Te(A6),i=!0);const s=Xa(e.map(a=>Vo(a)?a.data:null),a=>a);return s.length===1&&s[0]!==null?{data:s[0],fields:t.map(o=>o.field),...i?{sort:i}:{}}:{fields:t,...i?{sort:i}:{}}}function R5(e){if(Vo(e)&&We(e.field))return e.field;if(ume(e)){let t;for(const n of e.fields)if(Vo(n)&&We(n.field)){if(!t)t=n.field;else if(t!==n.field)return Te(u1e),t}return Te(c1e),t}else if(cme(e)){Te(f1e);const t=e.fields[0];return We(t)?t:void 0}}function N2(e,t){const r=e.component.scales[t].get("domains").map(i=>(Vo(i)&&(i.data=e.lookupDataSource(i.data)),i));return Xxe(r)}function mq(e){return Uh(e)||N5(e)?e.children.reduce((t,n)=>t.concat(mq(n)),E8(e)):E8(e)}function E8(e){return Fe(e.component.scales).reduce((t,n)=>{const r=e.component.scales[n];if(r.merged)return t;const i=r.combine(),{name:s,type:a,selectionExtent:o,domains:l,range:u,reverse:c,...f}=i,d=Kxe(i.range,s,n,e),h=N2(e,n),p=o?zbe(e,o,r,h):null;return t.push({name:s,type:a,...h?{domain:h}:{},...p?{domainRaw:p}:{},range:d,...c!==void 0?{reverse:c}:{},...f}),t},[])}function Kxe(e,t,n,r){if(Xn(n)){if(Af(e))return{step:{signal:`${t}_step`}}}else if(Ue(e)&&Vo(e))return{...e,data:r.lookupDataSource(e.data)};return e}class vq extends xl{constructor(t,n){super({},{name:t}),this.merged=!1,this.setWithExplicit("type",n)}domainHasZero(){const t=this.get("type");if(Ut([Dr.LOG,Dr.TIME,Dr.UTC],t))return"definitely-not";const n=this.get("zero");if(n===!0||n===void 0&&Ut([Dr.LINEAR,Dr.SQRT,Dr.POW],t))return"definitely";const r=this.get("domains");if(r.length>0){let i=!1,s=!1,a=!1;for(const o of r){if(Se(o)){const l=o[0],u=o[o.length-1];if(Qt(l)&&Qt(u))if(l<=0&&u>=0){i=!0;continue}else{s=!0;continue}}a=!0}if(i)return"definitely";if(s&&!a)return"definitely-not"}return"maybe"}}const Zxe=["range","scheme"];function Jxe(e){const t=e.component.scales;for(const n of C$){const r=t[n];if(!r)continue;const i=Qxe(n,e);r.setWithExplicit("range",i)}}function A8(e,t){const n=e.fieldDef(t);if(n!=null&&n.bin){const{bin:r,field:i}=n,s=qi(t),a=e.getName(s);if(Ue(r)&&r.binned&&r.step!==void 0)return new hr(()=>{const o=e.scaleName(t),l=`(domain("${o}")[1] - domain("${o}")[0]) / ${r.step}`;return`${e.getSignalName(a)} / (${l})`});if(xn(r)){const o=F5(e,i,r);return new hr(()=>{const l=e.getSignalName(o),u=`(${l}.stop - ${l}.start) / ${l}.step`;return`${e.getSignalName(a)} / (${u})`})}}}function Qxe(e,t){const n=t.specifiedScales[e],{size:r}=t,s=t.getScaleComponent(e).get("type");for(const f of Zxe)if(n[f]!==void 0){const d=wA(s,f),h=nj(e,f);if(!d)Te(Oz(s,f,e));else if(h)Te(h);else switch(f){case"range":{const p=n.range;if(Se(p)){if(Xn(e))return Pa(p.map(g=>{if(g==="width"||g==="height"){const v=t.getName(g),y=t.getSignalName.bind(t);return hr.fromName(y,v)}return g}))}else if(Ue(p))return Pa({data:t.requestDataName(Tn.Main),field:p.field,sort:{op:"min",field:t.vgField(e)}});return Pa(p)}case"scheme":return Pa(ewe(n[f]))}}const a=e===$n||e==="xOffset"?"width":"height",o=r[a];if(ho(o)){if(Xn(e))if(Er(s)){const f=bq(o,t,e);if(f)return Pa({step:f})}else Te(Lz(a));else if(U0(e)){const f=e===Fu?"x":"y";if(t.getScaleComponent(f).get("type")==="band"){const p=_q(o,s);if(p)return Pa(p)}}}const{rangeMin:l,rangeMax:u}=n,c=twe(e,t);return(l!==void 0||u!==void 0)&&wA(s,"rangeMin")&&Se(c)&&c.length===2?Pa([l??c[0],u??c[1]]):Vi(c)}function ewe(e){return K1e(e)?{scheme:e.name,...Li(e,["name"])}:{scheme:e}}function yq(e,t,n,{center:r}={}){const i=qi(e),s=t.getName(i),a=t.getSignalName.bind(t);return e===kr&&ga(n)?r?[hr.fromName(o=>`${a(o)}/2`,s),hr.fromName(o=>`-${a(o)}/2`,s)]:[hr.fromName(a,s),0]:r?[hr.fromName(o=>`-${a(o)}/2`,s),hr.fromName(o=>`${a(o)}/2`,s)]:[0,hr.fromName(a,s)]}function twe(e,t){const{size:n,config:r,mark:i,encoding:s}=t,{type:a}=ir(s[e]),l=t.getScaleComponent(e).get("type"),{domain:u,domainMid:c}=t.specifiedScales[e];switch(e){case $n:case kr:{if(Ut(["point","band"],l)){const f=xq(e,n,r.view);if(ho(f))return{step:bq(f,t,e)}}return yq(e,t,l)}case Fu:case Lh:return nwe(e,t,l);case vl:{const f=swe(i,r),d=awe(i,n,t,r);return rh(l)?iwe(f,d,rwe(l,r,u,e)):[f,d]}case js:return[0,Math.PI*2];case xf:return[0,360];case Ea:return[0,new hr(()=>{const f=t.getSignalName(os(t.parent)?"child_width":"width"),d=t.getSignalName(os(t.parent)?"child_height":"height");return`min(${f},${d})/2`})];case Du:return{step:1e3/r.scale.framesPerSecond};case Ru:return[r.scale.minStrokeWidth,r.scale.maxStrokeWidth];case Nu:return[[1,0],[4,2],[2,1],[1,1],[1,2,4,2]];case Ui:return"symbol";case ji:case Eo:case Ao:return l==="ordinal"?a==="nominal"?"category":"ordinal":c!==void 0?"diverging":i==="rect"||i==="geoshape"?"heatmap":"ramp";case yl:case Mu:case Tu:return[r.scale.minOpacity,r.scale.maxOpacity]}}function bq(e,t,n){const{encoding:r}=t,i=t.getScaleComponent(n),s=E$(n),a=r[s];if(Xj({step:e,offsetIsDiscrete:$t(a)&&Kz(a.type)})==="offset"&&Fj(r,s)){const l=t.getScaleComponent(s);let c=`domain('${t.scaleName(s)}').length`;if(l.get("type")==="band"){const d=l.get("paddingInner")??l.get("padding")??0,h=l.get("paddingOuter")??l.get("padding")??0;c=`bandspace(${c}, ${d}, ${h})`}const f=i.get("paddingInner")??i.get("padding");return{signal:`${e.step} * ${c} / (1-${pme(f)})`}}else return e.step}function _q(e,t){if(Xj({step:e,offsetIsDiscrete:Er(t)})==="offset")return{step:e.step}}function nwe(e,t,n){const r=e===Fu?"x":"y",i=t.getScaleComponent(r);if(!i)return yq(r,t,n,{center:!0});const s=i.get("type"),a=t.scaleName(r),{markDef:o,config:l}=t;if(s==="band"){const u=xq(r,t.size,t.config.view);if(ho(u)){const c=_q(u,n);if(c)return c}return[0,{signal:`bandwidth('${a}')`}]}else{const u=t.encoding[r];if(Oe(u)&&u.timeUnit){const c=Gz(u.timeUnit,p=>`scale('${a}', ${p})`),f=t.config.scale.bandWithNestedOffsetPaddingInner,d=gu({fieldDef:u,markDef:o,config:l})-.5,h=d!==0?` + ${d}`:"";if(f){const p=ot(f)?`${f.signal}/2`+h:`${f/2+d}`,g=ot(f)?`(1 - 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i={x:A8(n,"x"),y:A8(n,"y")};switch(e){case"bar":case"tick":{if(r.scale.maxBandSize!==void 0)return r.scale.maxBandSize;const s=S8(t,i,r.view);return Qt(s)?s-1:new hr(()=>`${s.signal} - 1`)}case"line":case"trail":case"rule":return r.scale.maxStrokeWidth;case"text":return r.scale.maxFontSize;case"point":case"square":case"circle":{if(r.scale.maxSize)return r.scale.maxSize;const s=S8(t,i,r.view);return Qt(s)?Math.pow(k8*s,2):new hr(()=>`pow(${k8} * ${s.signal}, 2)`)}}throw new Error(o2("size",e))}function S8(e,t,n){const r=ho(e.width)?e.width.step:SA(n,"width"),i=ho(e.height)?e.height.step:SA(n,"height");return t.x||t.y?new hr(()=>`min(${[t.x?t.x.signal:r,t.y?t.y.signal:i].join(", ")})`):Math.min(r,i)}function wq(e,t){Dn(e)?owe(e,t):Aq(e,t)}function owe(e,t){const n=e.component.scales,{config:r,encoding:i,markDef:s,specifiedScales:a}=e;for(const o of Fe(n)){const l=a[o],u=n[o],c=e.getScaleComponent(o),f=ir(i[o]),d=l[t],h=c.get("type"),p=c.get("padding"),g=c.get("paddingInner"),v=wA(h,t),y=nj(o,t);if(d!==void 0&&(v?y&&Te(y):Te(Oz(h,t,o))),v&&y===void 0)if(d!==void 0){const b=f.timeUnit,_=f.type;switch(t){case"domainMax":case"domainMin":kf(l[t])||_==="temporal"||b?u.set(t,{signal:y2(l[t],{type:_,timeUnit:b})},!0):u.set(t,l[t],!0);break;default:u.copyKeyFromObject(t,l)}}else{const b=De(C8,t)?C8[t]({model:e,channel:o,fieldOrDatumDef:f,scaleType:h,scalePadding:p,scalePaddingInner:g,domain:l.domain,domainMin:l.domainMin,domainMax:l.domainMax,markDef:s,config:r,hasNestedOffsetScale:Dj(i,o),hasSecondaryRangeChannel:!!i[ko(o)]}):r.scale[t];b!==void 0&&u.set(t,b,!1)}}}const C8={bins:({model:e,fieldOrDatumDef:t})=>Oe(t)?lwe(e,t):void 0,interpolate:({channel:e,fieldOrDatumDef:t})=>uwe(e,t.type),nice:({scaleType:e,channel:t,domain:n,domainMin:r,domainMax:i,fieldOrDatumDef:s})=>cwe(e,t,n,r,i,s),padding:({channel:e,scaleType:t,fieldOrDatumDef:n,markDef:r,config:i})=>fwe(e,t,i.scale,n,r,i.bar),paddingInner:({scalePadding:e,channel:t,markDef:n,scaleType:r,config:i,hasNestedOffsetScale:s})=>dwe(e,t,n.type,r,i.scale,s),paddingOuter:({scalePadding:e,channel:t,scaleType:n,scalePaddingInner:r,config:i,hasNestedOffsetScale:s})=>hwe(e,t,n,r,i.scale,s),reverse:({fieldOrDatumDef:e,scaleType:t,channel:n,config:r})=>{const i=Oe(e)?e.sort:void 0;return pwe(t,i,n,r.scale)},zero:({channel:e,fieldOrDatumDef:t,domain:n,markDef:r,scaleType:i,config:s,hasSecondaryRangeChannel:a})=>gwe(e,t,n,r,i,s.scale,a)};function Eq(e){Dn(e)?Jxe(e):Aq(e,"range")}function Aq(e,t){const n=e.component.scales;for(const r of e.children)t==="range"?Eq(r):wq(r,t);for(const r of Fe(n)){let i;for(const s of e.children){const a=s.component.scales[r];if(a){const o=a.getWithExplicit(t);i=mu(i,o,t,"scale",lU((l,u)=>{switch(t){case"range":return l.step&&u.step?l.step-u.step:0}return 0}))}}n[r].setWithExplicit(t,i)}}function lwe(e,t){const n=t.bin;if(xn(n)){const r=F5(e,t.field,n);return new hr(()=>e.getSignalName(r))}else if(Cr(n)&&Ef(n)&&n.step!==void 0)return{step:n.step}}function uwe(e,t){if(Ut([ji,Eo,Ao],e)&&t!=="nominal")return"hcl"}function cwe(e,t,n,r,i,s){var a;if(!((a=va(s))!=null&&a.bin||Se(n)||i!=null||r!=null||Ut([Dr.TIME,Dr.UTC],e)))return Xn(t)?!0:void 0}function fwe(e,t,n,r,i,s){if(Xn(e)){if(Ka(t)){if(n.continuousPadding!==void 0)return n.continuousPadding;const{type:a,orient:o}=i;if(a==="bar"&&!(Oe(r)&&(r.bin||r.timeUnit))&&(o==="vertical"&&e==="x"||o==="horizontal"&&e==="y"))return s.continuousBandSize}if(t===Dr.POINT)return n.pointPadding}}function dwe(e,t,n,r,i,s=!1){if(e===void 0){if(Xn(t)){const{bandPaddingInner:a,barBandPaddingInner:o,rectBandPaddingInner:l,tickBandPaddingInner:u,bandWithNestedOffsetPaddingInner:c}=i;return s?c:Vn(a,n==="bar"?o:n==="tick"?u:l)}else if(U0(t)&&r===Dr.BAND)return i.offsetBandPaddingInner}}function hwe(e,t,n,r,i,s=!1){if(e===void 0){if(Xn(t)){const{bandPaddingOuter:a,bandWithNestedOffsetPaddingOuter:o}=i;if(s)return o;if(n===Dr.BAND)return Vn(a,ot(r)?{signal:`${r.signal}/2`}:r/2)}else if(U0(t)){if(n===Dr.POINT)return .5;if(n===Dr.BAND)return i.offsetBandPaddingOuter}}}function pwe(e,t,n,r){if(n==="x"&&r.xReverse!==void 0)return ga(e)&&t==="descending"?ot(r.xReverse)?{signal:`!${r.xReverse.signal}`}:!r.xReverse:r.xReverse;if(ga(e)&&t==="descending")return!0}function gwe(e,t,n,r,i,s,a){if(!!n&&n!=="unaggregated"&&ga(i)){if(Se(n)){const l=n[0],u=n[n.length-1];if(Qt(l)&&l<=0&&Qt(u)&&u>=0)return!0}return!1}if(e==="size"&&t.type==="quantitative"&&!rh(i))return!0;if(!(Oe(t)&&t.bin)&&Ut([...bl,...X0e],e)){const{orient:l,type:u}=r;return Ut(["bar","area","line","trail"],u)&&(l==="horizontal"&&e==="y"||l==="vertical"&&e==="x")?!1:Ut(["bar","area"],u)&&!a?!0:s==null?void 0:s.zero}return!1}function mwe(e,t,n,r,i=!1){const s=vwe(t,n,r,i),{type:a}=e;return So(t)?a!==void 0?rve(t,a)?Oe(n)&&!nve(a,n.type)?(Te(i1e(a,s)),s):a:(Te(r1e(t,a,s)),s):s:null}function vwe(e,t,n,r){var i;switch(t.type){case"nominal":case"ordinal":{if(fd(e)||wx(e)==="discrete")return e==="shape"&&t.type==="ordinal"&&Te(Ex(e,"ordinal")),"ordinal";if(xx(e))return"band";if(Xn(e)||U0(e)){if(Ut(["rect","bar","image","rule","tick"],n.type)||r)return"band"}else if(n.type==="arc"&&e in S$)return"band";const s=n[qi(e)];return rf(s)||sh(t)&&((i=t.axis)!=null&&i.tickBand)?"band":"point"}case"temporal":return fd(e)?"time":wx(e)==="discrete"?(Te(Ex(e,"temporal")),"ordinal"):Oe(t)&&t.timeUnit&&xr(t.timeUnit).utc?"utc":xx(e)?"band":"time";case"quantitative":return fd(e)?Oe(t)&&xn(t.bin)?"bin-ordinal":"linear":wx(e)==="discrete"?(Te(Ex(e,"quantitative")),"ordinal"):xx(e)?"band":"linear";case"geojson":return}throw new Error(Rz(t.type))}function ywe(e,{ignoreRange:t}={}){kq(e),gq(e);for(const n of tve)wq(e,n);t||Eq(e)}function kq(e){Dn(e)?e.component.scales=bwe(e):e.component.scales=xwe(e)}function bwe(e){const{encoding:t,mark:n,markDef:r}=e,i={};for(const s of C$){const a=ir(t[s]);if(a&&n===sj&&s===Ui&&a.type===Ih)continue;let o=a&&a.scale;if(a&&o!==null&&o!==!1){o??(o={});const l=Dj(t,s),u=mwe(o,s,a,r,l);i[s]=new vq(e.scaleName(`${s}`,!0),{value:u,explicit:o.type===u})}}return i}const _we=lU((e,t)=>S6(e)-S6(t));function xwe(e){var t;const n=e.component.scales={},r={},i=e.component.resolve;for(const s of e.children){kq(s);for(const a of Fe(s.component.scales))if((t=i.scale)[a]??(t[a]=nq(a,e)),i.scale[a]==="shared"){const o=r[a],l=s.component.scales[a].getWithExplicit("type");o?H1e(o.value,l.value)?r[a]=mu(o,l,"type","scale",_we):(i.scale[a]="independent",delete r[a]):r[a]=l}}for(const s of Fe(r)){const a=e.scaleName(s,!0),o=r[s];n[s]=new vq(a,o);for(const l of e.children){const u=l.component.scales[s];u&&(l.renameScale(u.get("name"),a),u.merged=!0)}}return n}class Px{constructor(){this.nameMap={}}rename(t,n){this.nameMap[t]=n}has(t){return this.nameMap[t]!==void 0}get(t){for(;this.nameMap[t]&&t!==this.nameMap[t];)t=this.nameMap[t];return t}}function Dn(e){return(e==null?void 0:e.type)==="unit"}function os(e){return(e==null?void 0:e.type)==="facet"}function N5(e){return(e==null?void 0:e.type)==="concat"}function Uh(e){return(e==null?void 0:e.type)==="layer"}class O5{constructor(t,n,r,i,s,a,o){this.type=n,this.parent=r,this.config=s,this.parent=r,this.config=s,this.view=Fr(o),this.name=t.name??i,this.title=Tl(t.title)?{text:t.title}:t.title?Fr(t.title):void 0,this.scaleNameMap=r?r.scaleNameMap:new Px,this.projectionNameMap=r?r.projectionNameMap:new Px,this.signalNameMap=r?r.signalNameMap:new Px,this.data=t.data,this.description=t.description,this.transforms=vbe(t.transform??[]),this.layout=n==="layer"||n==="unit"?{}:xye(t,n,s),this.component={data:{sources:r?r.component.data.sources:[],outputNodes:r?r.component.data.outputNodes:{},outputNodeRefCounts:r?r.component.data.outputNodeRefCounts:{},isFaceted:g2(t)||(r==null?void 0:r.component.data.isFaceted)&&t.data===void 0},layoutSize:new xl,layoutHeaders:{row:{},column:{},facet:{}},mark:null,resolve:{scale:{},axis:{},legend:{},...a?Ct(a):{}},selection:null,scales:null,projection:null,axes:{},legends:{}}}get width(){return this.getSizeSignalRef("width")}get height(){return this.getSizeSignalRef("height")}parse(){this.parseScale(),this.parseLayoutSize(),this.renameTopLevelLayoutSizeSignal(),this.parseSelections(),this.parseProjection(),this.parseData(),this.parseAxesAndHeaders(),this.parseLegends(),this.parseMarkGroup()}parseScale(){ywe(this)}parseProjection(){dq(this)}renameTopLevelLayoutSizeSignal(){this.getName("width")!=="width"&&this.renameSignal(this.getName("width"),"width"),this.getName("height")!=="height"&&this.renameSignal(this.getName("height"),"height")}parseLegends(){oq(this)}assembleEncodeFromView(t){const{style:n,...r}=t,i={};for(const s of Fe(r)){const a=r[s];a!==void 0&&(i[s]=En(a))}return i}assembleGroupEncodeEntry(t){let n={};return this.view&&(n=this.assembleEncodeFromView(this.view)),!t&&(this.description&&(n.description=En(this.description)),this.type==="unit"||this.type==="layer")?{width:this.getSizeSignalRef("width"),height:this.getSizeSignalRef("height"),...n}:dn(n)?void 0:n}assembleLayout(){if(!this.layout)return;const{spacing:t,...n}=this.layout,{component:r,config:i}=this,s=j_e(r.layoutHeaders,i);return{padding:t,...this.assembleDefaultLayout(),...n,...s?{titleBand:s}:{}}}assembleDefaultLayout(){return{}}assembleHeaderMarks(){const{layoutHeaders:t}=this.component;let n=[];for(const r of Ss)t[r].title&&n.push(O_e(this,r));for(const r of k5)n=n.concat(L_e(this,r));return n}assembleAxes(){return w_e(this.component.axes,this.config)}assembleLegends(){return uq(this)}assembleProjections(){return cxe(this)}assembleTitle(){const{encoding:t,...n}=this.title??{},r={...Az(this.config.title).nonMarkTitleProperties,...n,...t?{encode:{update:t}}:{}};if(r.text)return Ut(["unit","layer"],this.type)?Ut(["middle",void 0],r.anchor)&&(r.frame??(r.frame="group")):r.anchor??(r.anchor="start"),dn(r)?void 0:r}assembleGroup(t=[]){const n={};t=t.concat(this.assembleSignals()),t.length>0&&(n.signals=t);const r=this.assembleLayout();r&&(n.layout=r),n.marks=[].concat(this.assembleHeaderMarks(),this.assembleMarks());const i=!this.parent||os(this.parent)?mq(this):[];i.length>0&&(n.scales=i);const s=this.assembleAxes();s.length>0&&(n.axes=s);const a=this.assembleLegends();return a.length>0&&(n.legends=a),n}getName(t){return Cn((this.name?`${this.name}_`:"")+t)}getDataName(t){return this.getName(Tn[t].toLowerCase())}requestDataName(t){const n=this.getDataName(t),r=this.component.data.outputNodeRefCounts;return r[n]=(r[n]||0)+1,n}getSizeSignalRef(t){if(os(this.parent)){const n=eq(t),r=i2(n),i=this.component.scales[r];if(i&&!i.merged){const s=i.get("type"),a=i.get("range");if(Er(s)&&Af(a)){const o=i.get("name"),l=N2(this,r),u=R5(l);if(u){const c=ze({aggregate:"distinct",field:u},{expr:"datum"});return{signal:QU(o,i,c)}}else return Te(D$(r)),null}}}return{signal:this.signalNameMap.get(this.getName(t))}}lookupDataSource(t){const n=this.component.data.outputNodes[t];return n?n.getSource():t}getSignalName(t){return this.signalNameMap.get(t)}renameSignal(t,n){this.signalNameMap.rename(t,n)}renameScale(t,n){this.scaleNameMap.rename(t,n)}renameProjection(t,n){this.projectionNameMap.rename(t,n)}scaleName(t,n){if(n)return this.getName(t);if(mz(t)&&So(t)&&this.component.scales[t]||this.scaleNameMap.has(this.getName(t)))return this.scaleNameMap.get(this.getName(t))}projectionName(t){if(t)return this.getName("projection");if(this.component.projection&&!this.component.projection.merged||this.projectionNameMap.has(this.getName("projection")))return this.projectionNameMap.get(this.getName("projection"))}getScaleComponent(t){if(!this.component.scales)throw new Error("getScaleComponent cannot be called before parseScale(). Make sure you have called parseScale or use parseUnitModelWithScale().");const n=this.component.scales[t];return n&&!n.merged?n:this.parent?this.parent.getScaleComponent(t):void 0}getScaleType(t){const n=this.getScaleComponent(t);return n?n.get("type"):void 0}getSelectionComponent(t,n){let r=this.component.selection[t];if(!r&&this.parent&&(r=this.parent.getSelectionComponent(t,n)),!r)throw new Error(bme(n));return r}hasAxisOrientSignalRef(){var t,n;return((t=this.component.axes.x)==null?void 0:t.some(r=>r.hasOrientSignalRef()))||((n=this.component.axes.y)==null?void 0:n.some(r=>r.hasOrientSignalRef()))}}class Sq extends O5{vgField(t,n={}){const r=this.fieldDef(t);if(r)return ze(r,n)}reduceFieldDef(t,n){return Kve(this.getMapping(),(r,i,s)=>{const a=va(i);return a?t(r,a,s):r},n)}forEachFieldDef(t,n){i5(this.getMapping(),(r,i)=>{const s=va(r);s&&t(s,i)},n)}}class O2 extends cn{clone(){return new O2(null,Ct(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Ct(n);const r=this.transform.as??[void 0,void 0];this.transform.as=[r[0]??"value",r[1]??"density"];const i=this.transform.resolve??"shared";this.transform.resolve=i}dependentFields(){return new Set([this.transform.density,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`DensityTransform ${Gt(this.transform)}`}assemble(){const{density:t,...n}=this.transform,r={type:"kde",field:t,...n};return r.resolve=this.transform.resolve,r}}class L2 extends cn{clone(){return new L2(null,Ct(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Ct(n)}dependentFields(){return new Set([this.transform.extent])}producedFields(){return new Set([])}hash(){return`ExtentTransform ${Gt(this.transform)}`}assemble(){const{extent:t,param:n}=this.transform;return{type:"extent",field:t,signal:n}}}class I2 extends cn{clone(){return new I2(this.parent,Ct(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Ct(n);const{flatten:r,as:i=[]}=this.transform;this.transform.as=r.map((s,a)=>i[a]??s)}dependentFields(){return new Set(this.transform.flatten)}producedFields(){return new Set(this.transform.as)}hash(){return`FlattenTransform ${Gt(this.transform)}`}assemble(){const{flatten:t,as:n}=this.transform;return{type:"flatten",fields:t,as:n}}}class P2 extends cn{clone(){return new P2(null,Ct(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Ct(n);const r=this.transform.as??[void 0,void 0];this.transform.as=[r[0]??"key",r[1]??"value"]}dependentFields(){return new Set(this.transform.fold)}producedFields(){return new Set(this.transform.as)}hash(){return`FoldTransform ${Gt(this.transform)}`}assemble(){const{fold:t,as:n}=this.transform;return{type:"fold",fields:t,as:n}}}class pd extends cn{clone(){return new pd(null,Ct(this.fields),this.geojson,this.signal)}static parseAll(t,n){if(n.component.projection&&!n.component.projection.isFit)return t;let r=0;for(const i of[[ka,Aa],[Bs,Sa]]){const s=i.map(a=>{const o=ir(n.encoding[a]);return Oe(o)?o.field:Co(o)?{expr:`${o.datum}`}:ma(o)?{expr:`${o.value}`}:void 0});(s[0]||s[1])&&(t=new pd(t,s,null,n.getName(`geojson_${r++}`)))}if(n.channelHasField(Ui)){const i=n.typedFieldDef(Ui);i.type===Ih&&(t=new pd(t,null,i.field,n.getName(`geojson_${r++}`)))}return t}constructor(t,n,r,i){super(t),this.fields=n,this.geojson=r,this.signal=i}dependentFields(){const t=(this.fields??[]).filter(We);return new Set([...this.geojson?[this.geojson]:[],...t])}producedFields(){return new Set}hash(){return`GeoJSON ${this.geojson} ${this.signal} ${Gt(this.fields)}`}assemble(){return[...this.geojson?[{type:"filter",expr:`isValid(datum["${this.geojson}"])`}]:[],{type:"geojson",...this.fields?{fields:this.fields}:{},...this.geojson?{geojson:this.geojson}:{},signal:this.signal}]}}class Gg extends cn{clone(){return new Gg(null,this.projection,Ct(this.fields),Ct(this.as))}constructor(t,n,r,i){super(t),this.projection=n,this.fields=r,this.as=i}static parseAll(t,n){if(!n.projectionName())return t;for(const r of[[ka,Aa],[Bs,Sa]]){const i=r.map(a=>{const o=ir(n.encoding[a]);return Oe(o)?o.field:Co(o)?{expr:`${o.datum}`}:ma(o)?{expr:`${o.value}`}:void 0}),s=r[0]===Bs?"2":"";(i[0]||i[1])&&(t=new Gg(t,n.projectionName(),i,[n.getName(`x${s}`),n.getName(`y${s}`)]))}return t}dependentFields(){return new Set(this.fields.filter(We))}producedFields(){return new Set(this.as)}hash(){return`Geopoint ${this.projection} ${Gt(this.fields)} ${Gt(this.as)}`}assemble(){return{type:"geopoint",projection:this.projection,fields:this.fields,as:this.as}}}class Dc extends cn{clone(){return new Dc(null,Ct(this.transform))}constructor(t,n){super(t),this.transform=n}dependentFields(){return new Set([this.transform.impute,this.transform.key,...this.transform.groupby??[]])}producedFields(){return new Set([this.transform.impute])}processSequence(t){const{start:n=0,stop:r,step:i}=t;return{signal:`sequence(${[n,r,...i?[i]:[]].join(",")})`}}static makeFromTransform(t,n){return new Dc(t,n)}static makeFromEncoding(t,n){const r=n.encoding,i=r.x,s=r.y;if(Oe(i)&&Oe(s)){const a=i.impute?i:s.impute?s:void 0;if(a===void 0)return;const o=i.impute?s:s.impute?i:void 0,{method:l,value:u,frame:c,keyvals:f}=a.impute,d=Rj(n.mark,r);return new Dc(t,{impute:a.field,key:o.field,...l?{method:l}:{},...u!==void 0?{value:u}:{},...c?{frame:c}:{},...f!==void 0?{keyvals:f}:{},...d.length?{groupby:d}:{}})}return null}hash(){return`Impute ${Gt(this.transform)}`}assemble(){const{impute:t,key:n,keyvals:r,method:i,groupby:s,value:a,frame:o=[null,null]}=this.transform,l={type:"impute",field:t,key:n,...r?{keyvals:Jye(r)?this.processSequence(r):r}:{},method:"value",...s?{groupby:s}:{},value:!i||i==="value"?a:null};if(i&&i!=="value"){const u={type:"window",as:[`imputed_${t}_value`],ops:[i],fields:[t],frame:o,ignorePeers:!1,...s?{groupby:s}:{}},c={type:"formula",expr:`datum.${t} === null ? datum.imputed_${t}_value : datum.${t}`,as:t};return[l,u,c]}else return[l]}}class B2 extends cn{clone(){return new B2(null,Ct(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Ct(n);const r=this.transform.as??[void 0,void 0];this.transform.as=[r[0]??n.on,r[1]??n.loess]}dependentFields(){return new Set([this.transform.loess,this.transform.on,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`LoessTransform ${Gt(this.transform)}`}assemble(){const{loess:t,on:n,...r}=this.transform;return{type:"loess",x:n,y:t,...r}}}class Yg extends cn{clone(){return new Yg(null,Ct(this.transform),this.secondary)}constructor(t,n,r){super(t),this.transform=n,this.secondary=r}static make(t,n,r,i){const s=n.component.data.sources,{from:a}=r;let o=null;if(Qye(a)){let l=Fq(a.data,s);l||(l=new cf(a.data),s.push(l));const u=n.getName(`lookup_${i}`);o=new Ii(l,u,Tn.Lookup,n.component.data.outputNodeRefCounts),n.component.data.outputNodes[u]=o}else if(ebe(a)){const l=a.param;r={as:l,...r};let u;try{u=n.getSelectionComponent(Cn(l),l)}catch{throw new Error(Eme(l))}if(o=u.materialized,!o)throw new Error(Ame(l))}return new Yg(t,r,o.getSource())}dependentFields(){return new Set([this.transform.lookup])}producedFields(){return new Set(this.transform.as?He(this.transform.as):this.transform.from.fields)}hash(){return`Lookup ${Gt({transform:this.transform,secondary:this.secondary})}`}assemble(){let t;if(this.transform.from.fields)t={values:this.transform.from.fields,...this.transform.as?{as:He(this.transform.as)}:{}};else{let n=this.transform.as;We(n)||(Te(Ome),n="_lookup"),t={as:[n]}}return{type:"lookup",from:this.secondary,key:this.transform.from.key,fields:[this.transform.lookup],...t,...this.transform.default?{default:this.transform.default}:{}}}}class z2 extends cn{clone(){return 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f,d;if(Dn(e)){const{markDef:y,mark:b,config:_}=e,x=fn("invalid",y,_),{marks:w,scales:A}=d=dU({invalid:x,isPath:Lu(b)});w!==A&&A==="include-invalid-values"&&(f=t=qm(Tn.PreFilterInvalid,e,t)),w==="exclude-invalid-values"&&(t=dh.make(t,e,d)??t)}const h=t=qm(Tn.Main,e,t);let p;if(Dn(e)&&d){const{marks:y,scales:b}=d;y==="include-invalid-values"&&b==="exclude-invalid-values"&&(t=dh.make(t,e,d)??t,p=t=qm(Tn.PostFilterInvalid,e,t))}Dn(e)&&__e(e,h);let g=null;if(os(e)){const y=e.getName("facet");t=Mwe(t,e.facet)??t,g=new zh(t,e,y,h.getSource()),n[y]=g}return{...e.component.data,outputNodes:n,outputNodeRefCounts:r,raw:c,main:h,facetRoot:g,ancestorParse:a,preFilterInvalid:f,postFilterInvalid:p}}function qm(e,t,n){const{outputNodes:r,outputNodeRefCounts:i}=t.component.data,s=t.getDataName(e),a=new Ii(n,s,e,i);return r[s]=a,a}class Nwe extends O5{constructor(t,n,r,i){var s,a,o,l;super(t,"concat",n,r,i,t.resolve),(((a=(s=t.resolve)==null?void 0:s.axis)==null?void 0:a.x)==="shared"||((l=(o=t.resolve)==null?void 0:o.axis)==null?void 0:l.y)==="shared")&&Te(Mme),this.children=this.getChildren(t).map((u,c)=>j5(u,this,this.getName(`concat_${c}`),void 0,i))}parseData(){this.component.data=W2(this);for(const t of this.children)t.parseData()}parseSelections(){this.component.selection={};for(const t of this.children){t.parseSelections();for(const n of Fe(t.component.selection))this.component.selection[n]=t.component.selection[n]}Object.values(this.component.selection).some(t=>to(t))&&T$(M$)}parseMarkGroup(){for(const t of this.children)t.parseMarkGroup()}parseAxesAndHeaders(){for(const t of this.children)t.parseAxesAndHeaders()}getChildren(t){return x2(t)?t.vconcat:h5(t)?t.hconcat:t.concat}parseLayoutSize(){$we(this)}parseAxisGroup(){return null}assembleSelectionTopLevelSignals(t){return this.children.reduce((n,r)=>r.assembleSelectionTopLevelSignals(n),t)}assembleSignals(){return this.children.forEach(t=>t.assembleSignals()),[]}assembleLayoutSignals(){const t=C5(this);for(const n of this.children)t.push(...n.assembleLayoutSignals());return t}assembleSelectionData(t){return this.children.reduce((n,r)=>r.assembleSelectionData(n),t)}assembleMarks(){return this.children.map(t=>{const n=t.assembleTitle(),r=t.assembleGroupStyle(),i=t.assembleGroupEncodeEntry(!1);return{type:"group",name:t.getName("group"),...n?{title:n}:{},...r?{style:r}:{},...i?{encode:{update:i}}:{},...t.assembleGroup()}})}assembleGroupStyle(){}assembleDefaultLayout(){const t=this.layout.columns;return{...t!=null?{columns:t}:{},bounds:"full",align:"each"}}}function Owe(e){return e===!1||e===null}const Lwe={disable:1,gridScale:1,scale:1,...Cj,labelExpr:1,encode:1},Dq=Fe(Lwe);class I5 extends xl{constructor(t={},n={},r=!1){super(),this.explicit=t,this.implicit=n,this.mainExtracted=r}clone(){return new I5(Ct(this.explicit),Ct(this.implicit),this.mainExtracted)}hasAxisPart(t){return t==="axis"?!0:t==="grid"||t==="title"?!!this.get(t):!Owe(this.get(t))}hasOrientSignalRef(){return ot(this.explicit.orient)}}function Iwe(e,t,n){const{encoding:r,config:i}=e,s=ir(r[t])??ir(r[ko(t)]),a=e.axis(t)||{},{format:o,formatType:l}=a;if(sf(l))return{text:oa({fieldOrDatumDef:s,field:"datum.value",format:o,formatType:l,config:i}),...n};if(o===void 0&&l===void 0&&i.customFormatTypes){if(ih(s)==="quantitative"){if(sh(s)&&s.stack==="normalize"&&i.normalizedNumberFormatType)return{text:oa({fieldOrDatumDef:s,field:"datum.value",format:i.normalizedNumberFormat,formatType:i.normalizedNumberFormatType,config:i}),...n};if(i.numberFormatType)return{text:oa({fieldOrDatumDef:s,field:"datum.value",format:i.numberFormat,formatType:i.numberFormatType,config:i}),...n}}if(ih(s)==="temporal"&&i.timeFormatType&&Oe(s)&&!s.timeUnit)return{text:oa({fieldOrDatumDef:s,field:"datum.value",format:i.timeFormat,formatType:i.timeFormatType,config:i}),...n}}return n}function Pwe(e){return bl.reduce((t,n)=>(e.component.scales[n]&&(t[n]=[Hwe(n,e)]),t),{})}const Bwe={bottom:"top",top:"bottom",left:"right",right:"left"};function zwe(e){const{axes:t,resolve:n}=e.component,r={top:0,bottom:0,right:0,left:0};for(const i of e.children){i.parseAxesAndHeaders();for(const s of Fe(i.component.axes))n.axis[s]=$5(e.component.resolve,s),n.axis[s]==="shared"&&(t[s]=jwe(t[s],i.component.axes[s]),t[s]||(n.axis[s]="independent",delete t[s]))}for(const i of bl){for(const s of e.children)if(s.component.axes[i]){if(n.axis[i]==="independent"){t[i]=(t[i]??[]).concat(s.component.axes[i]);for(const a of s.component.axes[i]){const{value:o,explicit:l}=a.getWithExplicit("orient");if(!ot(o)){if(r[o]>0&&!l){const u=Bwe[o];r[o]>r[u]&&a.set("orient",u,!1)}r[o]++}}}delete s.component.axes[i]}if(n.axis[i]==="independent"&&t[i]&&t[i].length>1)for(const[s,a]of(t[i]||[]).entries())s>0&&a.get("grid")&&!a.explicit.grid&&(a.implicit.grid=!1)}}function jwe(e,t){if(e){if(e.length!==t.length)return;const n=e.length;for(let r=0;rn.clone());return e}function Uwe(e,t){for(const n of Dq){const r=mu(e.getWithExplicit(n),t.getWithExplicit(n),n,"axis",(i,s)=>{switch(n){case"title":return Mz(i,s);case"gridScale":return{explicit:i.explicit,value:Vn(i.value,s.value)}}return E2(i,s,n,"axis")});e.setWithExplicit(n,r)}return e}function qwe(e,t,n,r,i){if(t==="disable")return n!==void 0;switch(n=n||{},t){case"titleAngle":case"labelAngle":return e===(ot(n.labelAngle)?n.labelAngle:jg(n.labelAngle));case"values":return!!n.values;case"encode":return!!n.encoding||!!n.labelAngle;case"title":if(e===XU(r,i))return!0}return e===n[t]}const Wwe=new Set(["grid","translate","format","formatType","orient","labelExpr","tickCount","position","tickMinStep"]);function Hwe(e,t){var y,b;let n=t.axis(e);const r=new I5,i=ir(t.encoding[e]),{mark:s,config:a}=t,o=(n==null?void 0:n.orient)||((y=a[e==="x"?"axisX":"axisY"])==null?void 0:y.orient)||((b=a.axis)==null?void 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Gwe({encoding:e,size:t}){for(const n of bl){const r=qi(n);ho(t[r])&&Hl(e[n])&&(delete t[r],Te(Lz(r)))}return t}const Ywe={vgMark:"arc",encodeEntry:e=>({...Us(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"}),...pi("x",e,{defaultPos:"mid"}),...pi("y",e,{defaultPos:"mid"}),...fl(e,"radius"),...fl(e,"theta")})},Vwe={vgMark:"area",encodeEntry:e=>({...Us(e,{align:"ignore",baseline:"ignore",color:"include",orient:"include",size:"ignore",theta:"ignore"}),...by("x",e,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:e.markDef.orient==="horizontal"}),...by("y",e,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:e.markDef.orient==="vertical"}),..._5(e)})},Xwe={vgMark:"rect",encodeEntry:e=>({...Us(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...fl(e,"x"),...fl(e,"y")})},Kwe={vgMark:"shape",encodeEntry:e=>({...Us(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"})}),postEncodingTransform:e=>{const{encoding:t}=e,n=t.shape;return[{type:"geoshape",projection:e.projectionName(),...n&&Oe(n)&&n.type===Ih?{field:ze(n,{expr:"datum"})}:{}}]}},Zwe={vgMark:"image",encodeEntry:e=>({...Us(e,{align:"ignore",baseline:"ignore",color:"ignore",orient:"ignore",size:"ignore",theta:"ignore"}),...fl(e,"x"),...fl(e,"y"),...y5(e,"url")})},Jwe={vgMark:"line",encodeEntry:e=>({...Us(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"}),...pi("x",e,{defaultPos:"mid"}),...pi("y",e,{defaultPos:"mid"}),...Mr("size",e,{vgChannel:"strokeWidth"}),..._5(e)})},Qwe={vgMark:"trail",encodeEntry:e=>({...Us(e,{align:"ignore",baseline:"ignore",color:"include",size:"include",orient:"ignore",theta:"ignore"}),...pi("x",e,{defaultPos:"mid"}),...pi("y",e,{defaultPos:"mid"}),...Mr("size",e),..._5(e)})};function P5(e,t){const{config:n}=e;return{...Us(e,{align:"ignore",baseline:"ignore",color:"include",size:"include",orient:"ignore",theta:"ignore"}),...pi("x",e,{defaultPos:"mid"}),...pi("y",e,{defaultPos:"mid"}),...Mr("size",e),...Mr("angle",e),...eEe(e,n,t)}}function eEe(e,t,n){return n?{shape:{value:n}}:Mr("shape",e)}const tEe={vgMark:"symbol",encodeEntry:e=>P5(e)},nEe={vgMark:"symbol",encodeEntry:e=>P5(e,"circle")},rEe={vgMark:"symbol",encodeEntry:e=>P5(e,"square")},iEe={vgMark:"rect",encodeEntry:e=>({...Us(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...fl(e,"x"),...fl(e,"y")})},sEe={vgMark:"rule",encodeEntry:e=>{const{markDef:t}=e,n=t.orient;return!e.encoding.x&&!e.encoding.y&&!e.encoding.latitude&&!e.encoding.longitude?{}:{...Us(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...by("x",e,{defaultPos:n==="horizontal"?"zeroOrMax":"mid",defaultPos2:"zeroOrMin",range:n!=="vertical"}),...by("y",e,{defaultPos:n==="vertical"?"zeroOrMax":"mid",defaultPos2:"zeroOrMin",range:n!=="horizontal"}),...Mr("size",e,{vgChannel:"strokeWidth"})}}},aEe={vgMark:"text",encodeEntry:e=>{const{config:t,encoding:n}=e;return{...Us(e,{align:"include",baseline:"include",color:"include",size:"ignore",orient:"ignore",theta:"include"}),...pi("x",e,{defaultPos:"mid"}),...pi("y",e,{defaultPos:"mid"}),...y5(e),...Mr("size",e,{vgChannel:"fontSize"}),...Mr("angle",e),...n8("align",oEe(e.markDef,n,t)),...n8("baseline",lEe(e.markDef,n,t)),...pi("radius",e,{defaultPos:null}),...pi("theta",e,{defaultPos:null})}}};function oEe(e,t,n){if(fn("align",e,n)===void 0)return"center"}function lEe(e,t,n){if(fn("baseline",e,n)===void 0)return"middle"}const uEe={vgMark:"rect",encodeEntry:e=>{const{config:t,markDef:n}=e,r=n.orient,i=r==="horizontal"?"x":"y",s=r==="horizontal"?"y":"x",a=r==="horizontal"?"height":"width";return{...Us(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...fl(e,i),...pi(s,e,{defaultPos:"mid",vgChannel:s==="y"?"yc":"xc"}),[a]:En(fn("thickness",n,t))}}},Wm={arc:Ywe,area:Vwe,bar:Xwe,circle:nEe,geoshape:Kwe,image:Zwe,line:Jwe,point:tEe,rect:iEe,rule:sEe,square:rEe,text:aEe,tick:uEe,trail:Qwe};function cEe(e){if(Ut([d2,c2,ove],e.mark)){const t=Rj(e.mark,e.encoding);if(t.length>0)return fEe(e,t)}else if(e.mark===f2){const t=yA.some(n=>fn(n,e.markDef,e.config));if(e.stack&&!e.fieldDef("size")&&t)return dEe(e)}return B5(e)}const F8="faceted_path_";function fEe(e,t){return[{name:e.getName("pathgroup"),type:"group",from:{facet:{name:F8+e.requestDataName(Tn.Main),data:e.requestDataName(Tn.Main),groupby:t}},encode:{update:{width:{field:{group:"width"}},height:{field:{group:"height"}}}},marks:B5(e,{fromPrefix:F8})}]}const D8="stack_group_";function dEe(e){var u;const[t]=B5(e,{fromPrefix:D8}),n=e.scaleName(e.stack.fieldChannel),r=(c={})=>e.vgField(e.stack.fieldChannel,c),i=(c,f)=>{const d=[r({prefix:"min",suffix:"start",expr:f}),r({prefix:"max",suffix:"start",expr:f}),r({prefix:"min",suffix:"end",expr:f}),r({prefix:"max",suffix:"end",expr:f})];return`${c}(${d.map(h=>`scale('${n}',${h})`).join(",")})`};let s,a;e.stack.fieldChannel==="x"?(s={...Jd(t.encode.update,["y","yc","y2","height",...yA]),x:{signal:i("min","datum")},x2:{signal:i("max","datum")},clip:{value:!0}},a={x:{field:{group:"x"},mult:-1},height:{field:{group:"height"}}},t.encode.update={...Li(t.encode.update,["y","yc","y2"]),height:{field:{group:"height"}}}):(s={...Jd(t.encode.update,["x","xc","x2","width"]),y:{signal:i("min","datum")},y2:{signal:i("max","datum")},clip:{value:!0}},a={y:{field:{group:"y"},mult:-1},width:{field:{group:"width"}}},t.encode.update={...Li(t.encode.update,["x","xc","x2"]),width:{field:{group:"width"}}});for(const c of yA){const f=co(c,e.markDef,e.config);t.encode.update[c]?(s[c]=t.encode.update[c],delete t.encode.update[c]):f&&(s[c]=En(f)),f&&(t.encode.update[c]={value:0})}const o=[];if(((u=e.stack.groupbyChannels)==null?void 0:u.length)>0)for(const c of e.stack.groupbyChannels){const f=e.fieldDef(c),d=ze(f);d&&o.push(d),(f!=null&&f.bin||f!=null&&f.timeUnit)&&o.push(ze(f,{binSuffix:"end"}))}return s=["stroke","strokeWidth","strokeJoin","strokeCap","strokeDash","strokeDashOffset","strokeMiterLimit","strokeOpacity"].reduce((c,f)=>{if(t.encode.update[f])return{...c,[f]:t.encode.update[f]};{const d=co(f,e.markDef,e.config);return d!==void 0?{...c,[f]:En(d)}:c}},s),s.stroke&&(s.strokeForeground={value:!0},s.strokeOffset={value:0}),[{type:"group",from:{facet:{data:e.requestDataName(Tn.Main),name:D8+e.requestDataName(Tn.Main),groupby:o,aggregate:{fields:[r({suffix:"start"}),r({suffix:"start"}),r({suffix:"end"}),r({suffix:"end"})],ops:["min","max","min","max"]}}},encode:{update:s},marks:[{type:"group",encode:{update:a},marks:[t]}]}]}function hEe(e){const{encoding:t,stack:n,mark:r,markDef:i,config:s}=e,a=t.order;if(!(!Se(a)&&ma(a)&&mA(a.value)||!a&&mA(fn("order",i,s)))){if((Se(a)||Oe(a))&&!n)return $z(a,{expr:"datum"});if(Lu(r)){const o=i.orient==="horizontal"?"y":"x",l=t[o];if(Oe(l))return{field:o}}}}function B5(e,t={fromPrefix:""}){const{mark:n,markDef:r,encoding:i,config:s}=e,a=Vn(r.clip,pEe(e),gEe(e)),o=Sz(r),l=i.key,u=hEe(e),c=mEe(e),f=fn("aria",r,s),d=Wm[n].postEncodingTransform?Wm[n].postEncodingTransform(e):null;return[{name:e.getName("marks"),type:Wm[n].vgMark,...a?{clip:a}:{},...o?{style:o}:{},...l?{key:l.field}:{},...u?{sort:u}:{},...c||{},...f===!1?{aria:f}:{},from:{data:t.fromPrefix+e.requestDataName(Tn.Main)},encode:{update:Wm[n].encodeEntry(e)},...d?{transform:d}:{}}]}function pEe(e){const t=e.getScaleComponent("x"),n=e.getScaleComponent("y");return t!=null&&t.get("selectionExtent")||n!=null&&n.get("selectionExtent")?!0:void 0}function gEe(e){const t=e.component.projection;return t&&!t.isFit?!0:void 0}function mEe(e){if(!e.component.selection)return null;const t=Fe(e.component.selection).length;let n=t,r=e.parent;for(;r&&n===0;)n=Fe(r.component.selection).length,r=r.parent;return n?{interactive:t>0||e.mark==="geoshape"||!!e.encoding.tooltip||!!e.markDef.tooltip}:null}class Mq 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        No artifacts in this project

        Artifacts are versioned, content-addressed files (models, datasets, …) + logged from a run. After trackio.init(), log one with trackio.log_artifact():

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        Settings

        Appearance

        Choose how the dashboard looks to you.

        CLI Reference

        Common Trackio CLI commands.

        Agent Skills

        Install Trackio as a skill in your AI coding agent to query experiments with natural language.

        Run in Terminal to Install:
        Example prompt

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m(a)}})};ue(ut,ne=>{m(s)==="metrics"?ne(At):m(s)==="traces"?ne(It,1):m(s)==="system"?ne(et,2):m(s)==="media"?ne(mt,3):m(s)==="reports"?ne(vt,4):m(s)==="runs"?ne(Dt,5):m(s)==="run-detail"?ne(kt,6):m(s)==="files"?ne(mn,7):m(s)==="artifacts"?ne(vn,8):m(s)==="settings"&&ne(lt,9)})}var Nt=D(Je,2);qY(Nt,{get alerts(){return m(M)}}),R(e,Ge),un()}dG(aFe,{target:document.getElementById("app")}); diff --git a/trackio/frontend/dist/index.html b/trackio/frontend/dist/index.html new file mode 100644 index 0000000000000000000000000000000000000000..ebd950e2d3999433f80453c544dd7008539c869a --- /dev/null +++ b/trackio/frontend/dist/index.html @@ -0,0 +1,14 @@ + + + + + + Trackio Dashboard + + + + + +
        + + diff --git a/trackio/frontend/eslint.config.js b/trackio/frontend/eslint.config.js new file mode 100644 index 0000000000000000000000000000000000000000..c0bd968851d9ee35d98943b9c2b04b91af245322 --- /dev/null +++ b/trackio/frontend/eslint.config.js @@ -0,0 +1,42 @@ +import js from "@eslint/js"; +import svelte from "eslint-plugin-svelte"; +import svelteParser from "svelte-eslint-parser"; +import globals from "globals"; + +export default [ + { ignores: ["dist/**", "node_modules/**"] }, + { + files: ["**/*.js"], + languageOptions: { + globals: { + ...globals.browser, + ...globals.es2021, + $state: "readonly", + $derived: "readonly", + $effect: "readonly", + $props: "readonly", + $bindable: "readonly", + $inspect: "readonly", + }, + }, + rules: { + ...js.configs.recommended.rules, + "no-unused-vars": ["error", { argsIgnorePattern: "^_" }], + "no-empty": "off", + }, + }, + { + files: ["**/*.svelte"], + languageOptions: { + parser: svelteParser, + globals: { ...globals.browser, ...globals.es2021 }, + }, + plugins: { svelte }, + rules: { + ...js.configs.recommended.rules, + ...svelte.configs.recommended.rules, + "no-unused-vars": ["error", { argsIgnorePattern: "^_", varsIgnorePattern: "^\\$" }], + "no-empty": "off", + }, + }, +]; diff --git a/trackio/frontend/index.html b/trackio/frontend/index.html new file mode 100644 index 0000000000000000000000000000000000000000..c3d5e2df6bb7db117ed1d554ea7d8d180b076799 --- /dev/null +++ b/trackio/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + Trackio Dashboard + + + +
        + + + diff --git a/trackio/frontend_config.py b/trackio/frontend_config.py new file mode 100644 index 0000000000000000000000000000000000000000..cd40a82e907f7d88dbf9335dc341f999f206f5f0 --- /dev/null +++ b/trackio/frontend_config.py @@ -0,0 +1,175 @@ +import json +import os +import shutil +from dataclasses import dataclass +from pathlib import Path + +from huggingface_hub.constants import HF_HOME + +TRACKIO_USER_HOME = Path(HF_HOME) / "trackio" +TRACKIO_CONFIG_PATH = TRACKIO_USER_HOME / "config.json" +BUNDLED_FRONTEND_DIR = Path(__file__).parent / "frontend" / "dist" +STARTER_FRONTEND_DIR = Path(__file__).parent / "frontend_templates" / "starter" + + +@dataclass(frozen=True) +class ResolvedFrontend: + path: Path + source: str + is_custom: bool + used_fallback: bool = False + requested_path: Path | None = None + + +def _normalize_frontend_path(path: str | Path) -> Path: + return Path(path).expanduser().resolve() + + +def is_valid_frontend_dir(path: str | Path | None) -> bool: + if path is None: + return False + frontend_dir = _normalize_frontend_path(path) + return frontend_dir.is_dir() and (frontend_dir / "index.html").is_file() + + +def _is_empty_directory(path: Path) -> bool: + return path.is_dir() and not any(path.iterdir()) + + +def _copy_starter_template(destination: Path) -> None: + destination.mkdir(parents=True, exist_ok=True) + for child in STARTER_FRONTEND_DIR.iterdir(): + target = destination / child.name + if child.is_dir(): + shutil.copytree(child, target, dirs_exist_ok=True) + else: + shutil.copy2(child, target) + + +def _materialize_argument_frontend_dir(candidate: Path) -> bool: + existed_before = candidate.exists() + if existed_before and not _is_empty_directory(candidate): + return False + + _copy_starter_template(candidate) + state = "did not exist" if not existed_before else "was empty" + print( + f"* Trackio frontend directory from argument {state}: {candidate}. " + "Copied the starter template into it and serving that directory." + ) + return True + + +def load_trackio_config() -> dict: + if not TRACKIO_CONFIG_PATH.is_file(): + return {} + try: + data = json.loads(TRACKIO_CONFIG_PATH.read_text()) + except (json.JSONDecodeError, OSError): + return {} + return data if isinstance(data, dict) else {} + + +def save_trackio_config(config: dict) -> None: + TRACKIO_USER_HOME.mkdir(parents=True, exist_ok=True) + TRACKIO_CONFIG_PATH.write_text(json.dumps(config, indent=2, sort_keys=True) + "\n") + + +def get_persisted_frontend_dir() -> Path | None: + frontend_dir = load_trackio_config().get("frontend_dir") + if not frontend_dir: + return None + return _normalize_frontend_path(frontend_dir) + + +def set_persisted_frontend_dir(path: str | Path) -> Path: + frontend_dir = _normalize_frontend_path(path) + if not is_valid_frontend_dir(frontend_dir): + raise ValueError( + f"Invalid frontend directory: {frontend_dir}. Expected a directory containing index.html." + ) + config = load_trackio_config() + config["frontend_dir"] = str(frontend_dir) + save_trackio_config(config) + return frontend_dir + + +def unset_persisted_frontend_dir() -> bool: + config = load_trackio_config() + if "frontend_dir" not in config: + return False + del config["frontend_dir"] + if config: + save_trackio_config(config) + elif TRACKIO_CONFIG_PATH.exists(): + TRACKIO_CONFIG_PATH.unlink() + return True + + +def _configured_frontend_candidates( + frontend_dir: str | Path | None, +) -> list[tuple[str, Path]]: + candidates: list[tuple[str, Path]] = [] + if frontend_dir is not None: + candidates.append(("argument", _normalize_frontend_path(frontend_dir))) + env_dir = os.environ.get("TRACKIO_FRONTEND_DIR") + if env_dir: + candidates.append(("env", _normalize_frontend_path(env_dir))) + persisted_dir = get_persisted_frontend_dir() + if persisted_dir is not None: + candidates.append(("config", persisted_dir)) + return candidates + + +def _announce_config_frontend(frontend_dir: Path) -> None: + print( + f"* Using Trackio custom frontend from config: {frontend_dir}\n" + " Reset with `trackio config unset frontend`." + ) + + +def resolve_frontend_dir( + frontend_dir: str | Path | None = None, + *, + announce: bool = False, +) -> ResolvedFrontend: + for source, candidate in _configured_frontend_candidates(frontend_dir): + if source == "argument": + if not candidate.exists() or _is_empty_directory(candidate): + _materialize_argument_frontend_dir(candidate) + + if is_valid_frontend_dir(candidate): + if source == "config" and announce: + _announce_config_frontend(candidate) + return ResolvedFrontend( + path=candidate, + source=source, + is_custom=True, + ) + if source == "argument": + print( + f"* Trackio frontend from {source} is invalid: {candidate}. " + f"Falling back to starter template at {STARTER_FRONTEND_DIR}." + ) + return ResolvedFrontend( + path=STARTER_FRONTEND_DIR, + source="starter", + is_custom=True, + used_fallback=True, + requested_path=candidate, + ) + print(f"* Trackio frontend from {source} is invalid: {candidate}. Ignoring it.") + + if is_valid_frontend_dir(BUNDLED_FRONTEND_DIR): + return ResolvedFrontend( + path=BUNDLED_FRONTEND_DIR, + source="bundled", + is_custom=False, + ) + + return ResolvedFrontend( + path=STARTER_FRONTEND_DIR, + source="starter", + is_custom=True, + used_fallback=True, + ) diff --git a/trackio/frontend_server.py b/trackio/frontend_server.py new file mode 100644 index 0000000000000000000000000000000000000000..2e2dcd0d84a9852e389c4072ea1b8eecb73b6639 --- /dev/null +++ b/trackio/frontend_server.py @@ -0,0 +1,175 @@ +"""Serves a static frontend alongside the Trackio HTTP API.""" + +import hashlib +import json +import logging +import re +from pathlib import Path + +from starlette.middleware.base import BaseHTTPMiddleware +from starlette.responses import FileResponse, HTMLResponse, JSONResponse +from starlette.routing import Mount, Route, get_route_path +from starlette.staticfiles import StaticFiles + +ASSETS_DIR = Path(__file__).parent / "assets" + +_logger = logging.getLogger(__name__) + +_ABSOLUTE_REF_RE = re.compile(r'(href|src)="(/(?:assets|static/trackio)/[^"]+)"') + +_LIVE_RELOAD_SCRIPT = """ + +""".strip() + + +def _frontend_version(frontend_root: Path) -> str: + digest = hashlib.sha256() + for path in sorted(frontend_root.rglob("*")): + if not path.is_file(): + continue + relative = path.relative_to(frontend_root) + digest.update(str(relative).encode("utf-8")) + stat = path.stat() + digest.update(str(stat.st_mtime_ns).encode("utf-8")) + digest.update(str(stat.st_size).encode("utf-8")) + return digest.hexdigest() + + +def _inject_live_reload(html: str, root_path: str) -> str: + if "/__trackio/frontend_version" in html: + return html + script = _LIVE_RELOAD_SCRIPT.replace("__TRACKIO_ROOT_PATH__", root_path) + if "" in html: + return html.replace("", f"{script}\n ") + return html + script + + +def _prefix_absolute_refs(html: str, root_path: str) -> str: + if not root_path: + return html + return _ABSOLUTE_REF_RE.sub( + lambda m: f'{m.group(1)}="{root_path}{m.group(2)}"', html + ) + + +def _inject_base_script(html: str, root_path: str) -> str: + if not root_path: + return html + script = f"" + if "" in html: + return html.replace("", f"\n {script}", 1) + return script + html + + +def _render_index_html(path: Path, root_path: str = "") -> str: + html = path.read_text(encoding="utf-8") + html = _prefix_absolute_refs(html, root_path) + html = _inject_base_script(html, root_path) + return _inject_live_reload(html, root_path) + + +def _html_response(path: Path, root_path: str = "") -> HTMLResponse: + return HTMLResponse(_render_index_html(path, root_path)) + + +class FrontendMiddleware(BaseHTTPMiddleware): + def __init__(self, app, frontend_root: Path, index_html_path: Path): + super().__init__(app) + self.frontend_root = frontend_root + self.index_html_path = index_html_path + self.reserved_prefixes = ( + "/api/", + "/file", + "/version", + "/artifact_blob/", + "/static/trackio", + "/__trackio/frontend_version", + "/oauth/", + "/login/", + "/mcp", + ) + self.reserved_exact = { + "/api", + "/oauth", + "/login", + } + + async def dispatch(self, request, call_next): + if request.method not in {"GET", "HEAD"}: + return await call_next(request) + + path = get_route_path(request.scope) + if path in self.reserved_exact or path.startswith(self.reserved_prefixes): + return await call_next(request) + + root_path = request.scope.get("root_path", "") + relative_path = path.lstrip("/") + requested_path = (self.frontend_root / relative_path).resolve() + if ( + relative_path + and requested_path.is_file() + and requested_path.is_relative_to(self.frontend_root) + ): + if requested_path.suffix.lower() == ".html": + return _html_response(requested_path, root_path) + return FileResponse(requested_path) + + return _html_response(self.index_html_path, root_path) + + +def mount_frontend(app, frontend_dir: str | Path): + frontend_root = Path(frontend_dir).resolve() + if not frontend_root.exists(): + _logger.warning( + "Trackio dashboard UI was not mounted: %s is missing. " + "Build the frontend or provide a custom frontend directory.", + frontend_root, + ) + return + + index_html_path = frontend_root / "index.html" + if not index_html_path.exists(): + _logger.warning( + "Trackio dashboard UI was not mounted: %s is missing.", + index_html_path, + ) + return + + async def frontend_version(_request): + return JSONResponse({"version": _frontend_version(frontend_root)}) + + static_assets = StaticFiles(directory=str(ASSETS_DIR)) + + app.add_middleware( + FrontendMiddleware, + frontend_root=frontend_root, + index_html_path=index_html_path, + ) + app.routes.append(Mount("/static/trackio", app=static_assets)) + app.routes.append( + Route("/__trackio/frontend_version", frontend_version, methods=["GET"]) + ) diff --git a/trackio/frontend_templates/logbook/bucket-icon.svg b/trackio/frontend_templates/logbook/bucket-icon.svg new file mode 100644 index 0000000000000000000000000000000000000000..b7ce1dac0d70d7ca8e392aff3a534b756041708d --- /dev/null +++ b/trackio/frontend_templates/logbook/bucket-icon.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/trackio/frontend_templates/logbook/index.html b/trackio/frontend_templates/logbook/index.html new file mode 100644 index 0000000000000000000000000000000000000000..f386be9033f4b4367329ef2e99b6866a3f98f26a --- /dev/null +++ b/trackio/frontend_templates/logbook/index.html @@ -0,0 +1,54 @@ + + + + + + Trackio Logbook + + + +
        + +
        +
        +
        +
        + + + + + + diff --git a/trackio/frontend_templates/logbook/logbook.css b/trackio/frontend_templates/logbook/logbook.css new file mode 100644 index 0000000000000000000000000000000000000000..2a9f174dac3117978fa2279dacebce2185fe6694 --- /dev/null +++ b/trackio/frontend_templates/logbook/logbook.css @@ -0,0 +1,1602 @@ +:root { + --bg: #ffffff; + --paper: #fdfcf9; + --panel: #ffffff; + --ink: #1f2937; + --muted: #6b7280; + --line: #e5e7eb; + --accent: #f97316; + --accent-strong: #ea580c; + --accent-soft: #fff7ed; + --accent-line: rgba(249, 115, 22, 0.16); + --grid-line: rgba(31, 41, 55, 0.045); + --code-bg: #f3f4f6; + --radius: 12px; + --serif: ui-serif, "Iowan Old Style", "Palatino Linotype", Georgia, serif; + --sans: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, + sans-serif; + --mono: "SFMono-Regular", "Cascadia Mono", "JetBrains Mono", Menlo, Consolas, + ui-monospace, monospace; +} + +* { + box-sizing: border-box; +} + +html, +body { + margin: 0; + padding: 0; +} + +html { + scroll-behavior: smooth; +} + +body { + background: var(--bg); + color: var(--ink); + font-family: var(--sans); + font-size: 13px; + line-height: 1.65; + -webkit-font-smoothing: antialiased; +} + +#app { + display: flex; + min-height: 100vh; +} + +/* ---- sidebar (composition-book cover) ---- */ +#sidebar { + width: 280px; + flex: 0 0 280px; + background: #17181c; + color: #e7e7ea; + position: sticky; + top: 0; + height: 100vh; + overflow-y: auto; + padding: 22px 16px; + display: flex; + flex-direction: column; +} + +#book-head { + display: flex; + align-items: center; + gap: 10px; + padding: 8px; + margin-bottom: 12px; + border-radius: 10px; + cursor: pointer; + transition: background 0.12s; +} +#book-head:hover { + background: rgba(255, 255, 255, 0.05); +} +#book-wordmark { + width: 154px; + height: auto; + object-fit: contain; +} +.sr-only { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + white-space: nowrap; + border: 0; +} + +#tree { + flex: 1; + padding-top: 8px; +} + +#tree a { + display: block; + padding: 6px 10px; + border-radius: 8px; + color: #c3c4cb; + text-decoration: none; + font-size: 14px; + transition: background 0.12s, color 0.12s; +} + +#tree a:hover { + background: rgba(255, 255, 255, 0.06); + color: #ffffff; +} + +#tree a.active { + background: rgba(249, 115, 22, 0.16); + color: #fdba74; + font-weight: 600; +} + +#tree a .tree-mark { + color: #6b6d76; +} + +#tree a:hover .tree-mark, +#tree a.active .tree-mark { + color: inherit; + opacity: 0.6; +} + +#tree .depth-1 { + padding-left: 22px; +} +#tree .depth-2 { + padding-left: 34px; +} +#tree .depth-3 { + padding-left: 46px; +} + + +/* ---- content ---- */ +#content { + flex: 1; + min-width: 0; + padding: 48px 40px 120px; + background-color: var(--paper); + background-image: + linear-gradient(var(--grid-line) 1px, transparent 1px), + linear-gradient(90deg, var(--grid-line) 1px, transparent 1px); + background-size: 26px 26px; + background-position: center top; +} + +#page { + width: 100%; + min-width: 0; + max-width: 1052px; + margin: 0 auto; +} + +.page-section { + scroll-margin-top: 40px; + padding: 0 0 35px; + margin: 0 0 32px; +} + +.page-section:last-child { + margin-bottom: 0; +} + +.page-layout { + display: grid; + grid-template-columns: minmax(0, 760px) 248px; + gap: 44px; + align-items: start; +} + +.page-body { + min-width: 0; +} + +.resource-anchor { + display: block; + height: 0; + overflow: hidden; +} + +/* ---- pinned notes ---- */ +.pinned-notes { + margin: 30px 0 0; +} +.pinned-notes-list .cell { + margin: 0; + border-color: rgba(249, 115, 22, 0.55); +} +.pinned-notes-list .cell + .cell { + margin-top: 12px; +} +.cell.pinned-source { + border-color: rgba(249, 115, 22, 0.55); +} +.book-intro.has-pinned-notes { + border-bottom: none; + padding-bottom: 22px; + margin-bottom: 30px; +} +.book-intro.book-intro-tight { + border-bottom: none; + padding-bottom: 4px; + margin-bottom: 20px; +} + +#page h1 { + font-family: var(--serif); + font-size: 34px; + line-height: 1.15; + letter-spacing: -0.02em; + margin: 0 0 8px; + overflow-wrap: anywhere; +} + +#page .page-section:not(.book-intro) h1 { + font-size: 26px; +} + +#page h2 { + font-family: var(--serif); + font-size: 24px; + margin: 36px 0 10px; +} + +#page h3 { + font-size: 17px; + font-weight: 700; + margin: 26px 0 2px; + letter-spacing: -0.01em; +} + +#page h3::before { + content: ""; + display: inline-block; + width: 7px; + height: 7px; + border-radius: 2px; + background: var(--accent); + margin-right: 10px; + vertical-align: middle; + transform: translateY(-1px); +} + +#page p { + margin: 10px 0; +} + +#page blockquote { + margin: 14px 0; + padding: 2px 16px; + border-left: 3px solid #fdba74; + color: var(--muted); +} + +#page hr { + display: none; +} + +#page code { + font-family: var(--mono); + font-size: 0.86em; + background: var(--code-bg); + padding: 2px 6px; + border-radius: 6px; +} + +#page pre { + max-width: 100%; + background: var(--code-bg); + border: 1px solid var(--line); + border-radius: var(--radius); + padding: 14px 16px; + overflow-x: auto; +} +#page pre code { + background: none; + padding: 0; + font-size: 11.5px; +} + +/* ---- code blocks + collapsible accordion ---- */ +#page pre.hl { + background: #17181c; + border: none; + color: #e7e7ea; + font-size: 13px; + line-height: 1.58; +} +#page pre.hl code { + color: inherit; + font-family: var(--mono); +} +.code-accordion { + border: 1px solid rgba(249, 115, 22, 0.2); + border-radius: 8px; + overflow: hidden; + margin: 12px 0; + background: #17181c; +} +.code-accordion summary { + list-style: none; + cursor: pointer; + display: flex; + align-items: center; + gap: 9px; + padding: 9px 12px; + font-family: var(--mono); + font-size: 11.5px; + font-weight: 700; + color: #e7e7ea; + background: #1e2027; + user-select: none; + overflow-wrap: anywhere; +} +.code-accordion summary::-webkit-details-marker { + display: none; +} +.code-accordion summary::after { + content: "▸"; + margin-left: auto; + color: var(--accent); + transition: transform 0.12s; + transform: rotate(180deg); +} +.code-accordion[open] summary::after { + transform: rotate(90deg); +} +.code-accordion .code-ico { + color: var(--accent); + font-weight: 700; +} +.code-accordion pre.hl { + margin: 0; + border-radius: 0; + border: none; + border-top: 1px solid rgba(249, 115, 22, 0.16); +} +.tok-comment { + color: #7a7d87; + font-style: italic; +} +.tok-string { + color: #a5d6a7; +} +.tok-keyword { + color: #fdba74; +} +.tok-number { + color: #7fd0e0; +} + +#page a { + color: var(--accent); +} + +#page ul { + padding-left: 20px; +} + +.ts { + font-family: var(--mono); + font-size: 12px; + color: var(--muted); + background: none; + padding: 0; +} + +/* ---- notebook-style cells ---- */ +.cell { + max-width: 100%; + border: 1px solid var(--line); + border-radius: 10px; + background: rgba(255, 255, 255, 0.86); + margin: 18px 0; + overflow: hidden; + box-shadow: 0 2px 10px rgba(31, 41, 55, 0.035); +} +.cell-head { + display: flex; + justify-content: space-between; + gap: 16px; + align-items: center; + padding: 14px 18px; + background: rgba(255, 255, 255, 0.92); + border-bottom: 1px solid var(--line); +} +.cell-head.no-title { + justify-content: flex-end; + padding-top: 10px; + padding-bottom: 10px; +} +.cell-title { + flex: 1; + min-width: 0; + font-size: 13px; + font-weight: 650; + color: var(--ink); + line-height: 1.35; + overflow-wrap: anywhere; +} +.cell-meta { + flex: 0 0 auto; + display: flex; + align-items: center; + gap: 10px; + font-family: var(--sans); + font-size: 13px; + color: var(--muted); +} +.cell-open { + flex: 0 0 auto; + font-family: var(--mono); + font-size: 12px; + color: var(--accent); + text-decoration: none; +} +.cell-open:hover { + color: var(--accent-strong); +} +.cell-body { + min-width: 0; + padding: 14px 18px 18px; +} +.cell.dashboard .cell-body { + padding: 0; +} +#page .cell-body h1, +#page .cell-body h2 { + font-family: var(--sans); + font-size: 17px; + font-weight: 700; + letter-spacing: -0.01em; + line-height: 1.35; + margin: 22px 0 6px; +} +#page .cell-body > :first-child { + margin-top: 0; +} +#page .cell-body > :last-child { + margin-bottom: 0; +} +.cell.code .cell-head { + background: #fbfbfc; +} +.figure-fit { + position: relative; + overflow: hidden; + min-height: 160px; + border: 1px solid var(--line); + border-radius: 8px; + background: #fff; +} +.figure-fit[hidden] { + display: none; +} +.figure-fit:fullscreen, +.figure-fit:-webkit-full-screen { + width: 100%; + height: 100%; + border: none; + border-radius: 0; +} +.figure-frame { + display: block; + width: 100%; + min-height: 160px; + border: none; + background: #fff; +} +.figure-frame[hidden], +.figure-raw[hidden] { + display: none; +} +.fig-switch { + position: relative; + display: inline-flex; + flex: 0 0 auto; + border: 1px solid var(--line); + border-radius: 999px; + background: var(--code-bg); + padding: 2px; +} +.fig-switch button { + position: relative; + z-index: 1; + flex: 1; + min-width: 62px; + border: none; + background: none; + font-family: var(--sans); + font-size: 12px; + font-weight: 600; + color: var(--muted); + padding: 3px 12px; + border-radius: 999px; + cursor: pointer; + transition: color 0.15s; +} +.fig-switch button.active { + color: var(--accent-strong); +} +.fig-switch-thumb { + position: absolute; + top: 2px; + bottom: 2px; + left: 2px; + width: calc(50% - 2px); + border-radius: 999px; + background: var(--panel); + border: 1px solid rgba(249, 115, 22, 0.35); + box-shadow: 0 1px 4px rgba(31, 41, 55, 0.08); + transition: transform 0.18s ease; +} +.fig-switch.raw .fig-switch-thumb { + transform: translateX(100%); +} +#page .figure-raw pre { + margin: 0; + max-height: 420px; + overflow: auto; + font-family: var(--mono); + font-size: 13px; + line-height: 1.55; + background: var(--code-bg); + border: 1px solid var(--line); + border-radius: 8px; + padding: 12px 14px; +} +/* ---- figure fullscreen ---- */ +.cell-fullscreen { + position: relative; + display: inline-flex; + flex: 0 0 auto; +} +.cell-fullscreen-btn { + display: inline-flex; + align-items: center; + justify-content: center; + width: 26px; + height: 26px; + padding: 0; + border: 1px solid var(--line); + border-radius: 999px; + background: var(--code-bg); + color: var(--muted); + cursor: pointer; + transition: color 0.15s, border-color 0.15s, background 0.15s; +} +.cell-fullscreen-btn:hover { + color: var(--accent-strong); + border-color: rgba(249, 115, 22, 0.35); + background: var(--accent-soft); +} +.cell-fullscreen-btn svg { + width: 14px; + height: 14px; +} +/* ---- copyable snippets ---- */ +.snippet { + position: relative; +} +.copy-snippet { + position: absolute; + top: 7px; + right: 8px; + width: 24px; + height: 24px; + border: none; + border-radius: 6px; + background: rgba(255, 255, 255, 0.08); + color: #9a9da8; + font-size: 12px; + line-height: 1; + cursor: pointer; + opacity: 0; + transition: opacity 0.12s, color 0.12s, background 0.12s; +} +.snippet:hover .copy-snippet, +.jp-out:hover .copy-snippet, +.figure-raw:hover .copy-snippet, +.code-accordion summary:hover .copy-snippet { + opacity: 1; +} +.copy-snippet:hover { + color: #ffffff; + background: rgba(255, 255, 255, 0.16); +} +.copy-snippet.copied { + color: #52d08a; + opacity: 1; +} +.code-accordion .code-name { + user-select: text; + cursor: text; +} +.jp-out, +.figure-raw { + position: relative; +} +.jp-out .copy-snippet, +.figure-raw .copy-snippet { + background: var(--code-bg); + color: var(--muted); + border: 1px solid var(--line); +} +.jp-out .copy-snippet:hover, +.figure-raw .copy-snippet:hover { + color: var(--accent-strong); + background: var(--panel); +} + +/* ---- jupyter-style code cells ---- */ +.jp { + border: 1px solid var(--line); + border-radius: 10px; + overflow: hidden; + margin: 12px 0; + background: var(--panel); +} +.jp-gutter { + flex: 0 0 46px; + padding: 13px 0 0 13px; + font-family: var(--mono); + font-size: 10.5px; + letter-spacing: 0.07em; + text-transform: uppercase; + font-weight: 600; + user-select: none; +} +.jp-in { + display: flex; + background: #17181c; +} +.jp-in .jp-gutter { + color: #6f727d; +} +.jp-in-body { + flex: 1; + min-width: 0; +} +#page .jp-in-body pre.hl { + margin: 0; + border: none; + border-radius: 0; + background: none; + padding: 12px 16px 12px 0; +} +.jp-in-body .code-accordion { + margin: 0; + border: none; + border-top: 1px solid rgba(255, 255, 255, 0.09); + border-radius: 0; + background: none; +} +.jp-in-body .code-accordion summary { + background: none; + padding: 9px 16px 9px 0; +} +.jp-in-body .code-accordion pre.hl { + border-top: 1px solid rgba(255, 255, 255, 0.09); +} +.jp-meta { + padding: 5px 14px; + font-family: var(--mono); + font-size: 11.5px; + color: var(--muted); + background: #fbfbfc; + border-top: 1px solid var(--line); +} +.jp-out { + display: flex; + border-top: 1px solid var(--line); + background: var(--panel); +} +.jp-out .jp-gutter { + color: var(--accent-strong); +} +.jp-out-body { + flex: 1; + min-width: 0; +} +#page .jp-out-pre { + min-width: 0; + margin: 0; + border: none; + border-radius: 0; + background: none; + color: var(--ink); + font-family: var(--mono); + font-size: 13px; + line-height: 1.55; + padding: 12px 16px 12px 0; + white-space: pre; + overflow-x: auto; + overflow-y: auto; + max-height: 26em; +} +.jp-artifacts { + display: flex; + flex-direction: column; +} +.jp-out-body .jp-out-pre + .jp-artifacts { + border-top: 1px solid var(--line); +} +.out-artifact { + display: flex; + align-items: baseline; + gap: 8px; + padding: 9px 16px 9px 0; + text-decoration: none; + color: inherit; +} +.out-artifact + .out-artifact { + border-top: 1px solid var(--line); +} +a.out-artifact:hover .out-artifact-name { + color: var(--accent-strong); +} +.out-artifact-ico { + flex: 0 0 auto; + font-size: 13px; +} +.out-artifact-name { + font-family: var(--mono); + font-size: 12.5px; + font-weight: 600; + color: var(--ink); + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; +} +.out-artifact-meta { + flex: 0 0 auto; + margin-left: auto; + padding-left: 12px; + font-size: 12px; + color: var(--muted); + white-space: nowrap; +} +.out-artifact-state.open { + color: var(--accent); + font-weight: 600; +} +.trackio-embed { + border: 1px solid var(--line); + border-radius: var(--radius); + overflow: hidden; + background: var(--panel); +} +.trackio-cell-meta { + display: flex; + gap: 6px; + flex-wrap: wrap; + justify-content: flex-end; +} + +/* ---- unfurl cards ---- */ +.unfurl { + display: block; + border: 1px solid var(--line); + border-radius: var(--radius); + background: var(--panel); + margin: 12px 0; + overflow: hidden; + text-decoration: none; + color: inherit; + transition: border-color 0.14s, box-shadow 0.14s; +} +.unfurl:hover { + border-color: #cfcbe6; + box-shadow: 0 4px 18px rgba(30, 20, 80, 0.06); +} + +.unfurl-body { + padding: 13px 16px; + display: flex; + gap: 12px; + align-items: flex-start; +} + +.unfurl-ico { + font-size: 20px; + line-height: 1.3; + flex: 0 0 auto; +} + +.unfurl-main { + min-width: 0; + flex: 1; +} + +.unfurl-kind { + font-family: var(--mono); + font-size: 10.5px; + text-transform: uppercase; + letter-spacing: 0.08em; + color: var(--accent); + font-weight: 600; +} + +.unfurl-title { + font-weight: 650; + font-size: 15px; + margin: 1px 0 2px; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; +} + +.unfurl-desc { + color: var(--muted); + font-size: 13.5px; + line-height: 1.45; +} + +.unfurl-meta { + margin-top: 6px; + display: flex; + flex-wrap: wrap; + gap: 6px; +} + +.chip { + font-size: 11.5px; + background: var(--code-bg); + border-radius: 999px; + padding: 2px 9px; + color: var(--muted); + font-family: var(--mono); +} + +.unfurl-raw { + font-family: var(--mono); + font-size: 11px; + color: var(--muted); + border-top: 1px solid var(--line); + padding: 7px 16px; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; +} + +.unfurl.embed { + padding: 0; + overflow: hidden; +} +.embed-head { + display: flex; + align-items: center; + gap: 10px; + padding: 10px 14px; + border-bottom: 1px solid var(--line); +} +.embed-head .unfurl-kind { + flex: 0 0 auto; +} +.embed-title { + flex: 1; + min-width: 0; + font-weight: 650; + font-size: 14px; + color: var(--ink); + text-decoration: none; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; +} +.embed-title:hover { + color: var(--accent); +} +.embed-open { + flex: 0 0 auto; + font-family: var(--mono); + font-size: 12px; + color: var(--accent); + text-decoration: none; +} +.embed-frame { + display: block; + width: 100%; + height: 560px; + border: 0; + background: var(--code-bg); +} + +.dashboard-shell { + display: block; +} +.dashboard-shell .dashboard-frame { + display: block; + width: 100%; + height: 900px; + border: 0; + background: var(--code-bg); +} + +.unfurl.image { + padding: 0; +} +.unfurl.image img { + display: block; + width: 100%; + height: auto; + max-height: 460px; + object-fit: contain; + background: var(--code-bg); +} + +.artifact-chip { + border: 1px solid var(--line); + background: var(--panel); + border-radius: var(--radius); + padding: 10px 14px; + margin: 8px 0; + font-size: 14px; +} +.cell.dashboard .artifact-chip { + margin: 14px 18px 18px; +} +.artifact-chip code { + color: var(--accent); +} + +/* ---- task board ---- */ +.board-wrap { + overflow-x: auto; + border: 1px solid var(--line); + border-radius: var(--radius); + margin: 12px 0 20px; + background: var(--panel); +} +table.board { + border-collapse: collapse; + width: 100%; + font-size: 14px; +} +table.board th, +table.board td { + text-align: left; + padding: 9px 14px; + border-bottom: 1px solid var(--line); + vertical-align: top; +} +table.board thead th { + background: var(--accent-soft); + font-size: 12px; + text-transform: uppercase; + letter-spacing: 0.05em; + color: #9a4a12; + font-weight: 600; + border-bottom: 1px solid var(--line); +} +table.board tbody tr:last-child td { + border-bottom: none; +} +table.board .col-check { + text-align: center; + width: 92px; + white-space: nowrap; +} +table.board tr.section-row td { + background: var(--accent-soft); + text-align: center; + font-weight: 700; + font-size: 13px; + color: var(--accent-strong); + padding: 7px 14px; + letter-spacing: 0.02em; +} +.box { + display: inline-flex; + align-items: center; + justify-content: center; + width: 18px; + height: 18px; + border: 1.5px solid #cfcbe0; + border-radius: 5px; + font-size: 12px; + color: #fff; + line-height: 1; +} +.box.on { + background: var(--accent); + border-color: var(--accent); +} +.who-chip { + display: inline-block; + padding: 3px 12px; + border-radius: 999px; + font-size: 12.5px; + font-weight: 600; + white-space: nowrap; +} +.who-chip.muted { + background: var(--code-bg); + color: var(--muted); + font-weight: 500; +} + +/* ---- status badges + clickable rows ---- */ +table.board .col-status { + width: 130px; + white-space: nowrap; +} +.badge { + display: inline-block; + padding: 3px 11px; + border-radius: 999px; + font-size: 12px; + font-weight: 600; + letter-spacing: 0.01em; +} +.badge.gray { + background: var(--code-bg); + color: var(--muted); +} +.badge.amber { + background: var(--accent-soft); + color: #b45309; +} +.badge.green { + background: #e6f7ee; + color: #1a8a55; +} +.badge.red { + background: #fde8ec; + color: #c62a4b; +} +table.board tr.linked-row { + cursor: pointer; +} +table.board tr.linked-row:hover td { + background: var(--accent-soft); +} +table.board tr.linked-row a { + color: var(--ink); + font-weight: 600; + text-decoration: none; +} +table.board tr.linked-row:hover a { + color: var(--accent-strong); +} + +/* ---- agent read hint ---- */ +.agent-hint { + display: flex; + align-items: center; + flex-wrap: wrap; + gap: 8px; + margin: 4px 0 22px; + font-size: 12.5px; + color: var(--muted); +} +#page .agent-hint code { + background: var(--code-bg); + padding: 2px 9px; + border-radius: 6px; + font-family: var(--mono); + font-size: 12px; + font-weight: 500; + color: var(--ink); +} +.agent-hint .copy { + flex: 0 0 auto; + background: none; + color: var(--muted); + border: 1px solid var(--line); + border-radius: 6px; + width: 22px; + height: 22px; + font-size: 11px; + line-height: 1; + cursor: pointer; + transition: color 0.12s, border-color 0.12s; +} +.agent-hint .copy:hover { + color: var(--accent-strong); + border-color: var(--accent); +} +.agent-hint .copy.copied { + color: #1a8a55; + border-color: #1a8a55; +} +.agent-hint-note { + margin-left: auto; + font-size: 12px; + color: var(--muted); +} + +/* ---- logbook summary stats ---- */ +.logbook-stats { + display: flex; + flex-wrap: wrap; + gap: 12px; + margin: 0 0 28px; +} +.stat-tile { + position: relative; + display: inline-flex; + align-items: center; + gap: 11px; + border: 1px solid var(--line); + background: var(--panel); + border-radius: var(--radius); + padding: 12px 23px; + font: inherit; + text-align: left; + cursor: pointer; + transition: border-color 0.12s, box-shadow 0.12s; +} +.stat-tile:hover:not([disabled]) { + border-color: rgba(249, 115, 22, 0.45); + box-shadow: 0 3px 12px rgba(31, 41, 55, 0.06); +} +.stat-tile:focus-visible { + outline: 2px solid var(--accent); + outline-offset: 2px; +} +.stat-tile[disabled] { + cursor: default; + opacity: 0.7; +} +.stat-tile.open { + border-color: rgba(249, 115, 22, 0.6); + box-shadow: 0 3px 12px rgba(31, 41, 55, 0.08); +} +.stat-icon { + width: 24px; + height: 24px; + flex: 0 0 24px; + object-fit: contain; + align-self: center; +} +.stat-text { + display: flex; + align-items: baseline; + gap: 8px; + white-space: nowrap; + line-height: 1; +} +.stat-num { + font-family: var(--mono); + font-size: 20px; + font-weight: 600; + line-height: 1; + color: var(--accent-strong); +} +.stat-label { + font-size: 15px; + line-height: 1; + color: var(--muted); +} +.stat-caret { + margin-left: 2px; + font-size: 10px; + color: var(--muted); + align-self: center; + transition: transform 0.12s; +} +.stat-tile.open .stat-caret { + transform: rotate(180deg); +} +.stat-popover { + position: absolute; + top: 100%; + left: 0; + margin-top: 6px; + min-width: 300px; + max-width: min(460px, 92vw); + max-height: 340px; + overflow-y: auto; + z-index: 20; + background: var(--panel); + border: 1px solid var(--line); + border-radius: var(--radius); + box-shadow: 0 8px 28px rgba(31, 41, 55, 0.12); + padding: 6px; +} +.stat-popover[hidden] { + display: none; +} +.stat-pop-head { + padding: 6px 10px 8px; + font-size: 11.5px; + font-weight: 700; + letter-spacing: 0.03em; + text-transform: uppercase; + color: var(--muted); +} +.stat-row { + display: flex; + align-items: flex-start; + gap: 10px; + padding: 9px 11px; + border-radius: 9px; + border: 1px solid transparent; + text-decoration: none; + color: inherit; + cursor: pointer; +} +.stat-row:hover { + border-color: rgba(249, 115, 22, 0.4); + background: var(--accent-soft); +} +.stat-row-ico { + font-size: 15px; + line-height: 1.3; + flex: 0 0 auto; +} +.stat-row-main { + min-width: 0; + flex: 1; +} +.stat-row-title { + font-family: var(--mono); + font-size: 12.5px; + font-weight: 600; + color: var(--ink); + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; +} +.stat-row-meta { + margin-top: 2px; + font-size: 12px; + color: var(--muted); +} +.stat-row-state.open { + color: var(--accent); + font-weight: 600; + border-radius: 5px; + padding: 1px 5px; + margin: -1px -2px; +} +.stat-row-state.open:hover { + background: rgba(249, 115, 22, 0.14); + text-decoration: underline; +} +.art-ico { + width: 1em; + height: 1em; + object-fit: contain; + vertical-align: -0.15em; +} + +/* ---- scroll-to-resource highlight ---- */ +.res-flash { + animation: res-flash 1.5s ease; + border-radius: 8px; +} +@keyframes res-flash { + 0%, + 25% { + box-shadow: 0 0 0 3px var(--accent); + } + 100% { + box-shadow: 0 0 0 3px rgba(249, 115, 22, 0); + } +} + +/* ---- inline resource chips ---- */ +#page .res-chip { + display: inline-flex; + align-items: center; + gap: 5px; + max-width: 100%; + padding: 0 9px 0 6px; + margin: 0 1px; + border: 1px solid var(--line); + border-radius: 999px; + background: var(--panel); + font-family: var(--mono); + font-size: 0.78em; + font-weight: 600; + color: var(--ink); + text-decoration: none; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + vertical-align: middle; + line-height: 1.65; + transform: translateY(-0.08em); + transition: border-color 0.12s, background 0.12s, color 0.12s; +} +.res-chip-ico { + font-size: 1.05em; + line-height: 1; +} +#page .res-chip:hover, +#page .res-chip.res-hl { + border-color: var(--accent); + background: var(--accent-soft); + color: var(--accent-strong); +} +#page a.res-link.res-hl { + background: var(--accent-soft); + border-radius: 4px; +} +.rail-item.res-hl { + border-color: var(--accent); + background: var(--accent-soft); + box-shadow: 0 3px 12px rgba(249, 115, 22, 0.14); +} +.rail-item.res-hl .rail-title { + color: var(--accent-strong); +} +.rail-item.rail-local { + cursor: default; +} +.artifact-chip.res-hl { + border-color: var(--accent); + background: var(--accent-soft); +} + +/* ---- contextual resources rail ---- */ +.context-rail { + position: relative; + width: 248px; +} +.context-rail[hidden] { + display: none; +} +.rail-kind { + display: flex; + align-items: center; + gap: 5px; + font-family: var(--mono); + font-size: 10px; + text-transform: uppercase; + letter-spacing: 0.08em; + font-weight: 600; + color: var(--accent); + margin-bottom: 4px; +} +.rail-item { + position: absolute; + left: 0; + right: 0; + display: block; + border: 1px solid var(--line); + border-radius: 10px; + background: var(--panel); + padding: 9px 12px; + margin-bottom: 8px; + text-decoration: none; + color: inherit; + transition: border-color 0.14s, box-shadow 0.14s; +} +.rail-item:hover { + border-color: rgba(249, 115, 22, 0.45); + box-shadow: 0 3px 12px rgba(31, 41, 55, 0.06); +} +.rail-title { + font-family: var(--mono); + font-size: 12.5px; + font-weight: 600; + color: var(--ink); + overflow-wrap: anywhere; + line-height: 1.4; +} +.rail-item:hover .rail-title { + color: var(--accent-strong); +} +.rail-meta { + font-size: 11.5px; + color: var(--muted); + margin-top: 2px; +} + +@media (max-width: 1400px) { + .page-layout { + display: block; + } + .context-rail { + width: 100%; + margin-top: 28px; + position: static; + min-height: 0 !important; + display: grid; + grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); + gap: 10px; + } + .context-rail[hidden] { + display: none; + } + .context-rail .rail-item { + position: static; + margin-bottom: 0; + } +} + +/* ---- connect footer + modal ---- */ +#sidebar-foot { + margin-top: auto; + padding-top: 14px; + border-top: 1px solid rgba(255, 255, 255, 0.1); +} + +#connect-btn { + width: 100%; + display: flex; + align-items: center; + gap: 8px; + background: rgba(255, 255, 255, 0.05); + color: #c3c4cb; + border: 1px solid rgba(255, 255, 255, 0.12); + border-radius: 9px; + padding: 9px 12px; + font-size: 13.5px; + font-family: var(--sans); + cursor: pointer; + transition: background 0.12s, color 0.12s, border-color 0.12s; +} +#connect-btn:hover { + background: rgba(249, 115, 22, 0.14); + border-color: rgba(249, 115, 22, 0.4); + color: #fdba74; +} +#connect-btn .ico { + font-size: 15px; +} + +#modal[hidden] { + display: none; +} +#modal { + position: fixed; + inset: 0; + z-index: 100; + display: flex; + align-items: center; + justify-content: center; + padding: 24px; +} +.modal-backdrop { + position: absolute; + inset: 0; + background: rgba(20, 18, 30, 0.5); + backdrop-filter: blur(2px); +} +.modal-card { + position: relative; + background: var(--panel); + border-radius: 16px; + width: 100%; + max-width: 620px; + max-height: 85vh; + overflow-y: auto; + box-shadow: 0 24px 70px rgba(20, 15, 50, 0.28); +} +.modal-head { + display: flex; + align-items: center; + justify-content: space-between; + gap: 12px; + padding: 18px 22px; + border-bottom: 1px solid var(--line); + position: sticky; + top: 0; + background: var(--panel); +} +.modal-title { + display: flex; + align-items: center; + gap: 10px; + font-family: var(--serif); + font-size: 21px; + letter-spacing: -0.01em; +} +.modal-logo { + width: 26px; + height: 26px; + object-fit: contain; +} +.modal-actions { + display: flex; + align-items: center; + gap: 8px; +} +.btn { + font-family: var(--sans); + font-size: 13.5px; + font-weight: 600; + border: 1px solid var(--line); + background: var(--panel); + color: var(--ink); + border-radius: 9px; + padding: 8px 13px; + cursor: pointer; + transition: background 0.12s, border-color 0.12s, color 0.12s; +} +.btn:hover { + border-color: var(--accent); + color: var(--accent-strong); +} +.btn.copied { + border-color: #1a8a55; + color: #1a8a55; +} +.btn.icon { + font-size: 18px; + line-height: 1; + padding: 6px 11px; + font-weight: 400; +} +.modal-body { + padding: 20px 22px 26px; +} +.modal-intro { + margin: 0 0 20px; + color: var(--muted); + line-height: 1.55; +} +#connect-steps { + list-style: none; + margin: 0; + padding: 0; +} +#connect-steps li { + margin-bottom: 18px; +} +.step-title { + font-weight: 600; + font-size: 14.5px; + margin-bottom: 8px; +} +.codeblock { + display: flex; + align-items: center; + gap: 8px; + background: #17181c; + border-radius: 10px; + padding: 11px 12px 11px 15px; +} +.codeblock code { + flex: 1; + min-width: 0; + overflow-x: auto; + white-space: nowrap; + font-family: var(--mono); + font-size: 13px; + color: #f0efff; + background: none; + padding: 0; +} +.codeblock .copy { + flex: 0 0 auto; + background: rgba(255, 255, 255, 0.08); + color: #c3c4cb; + border: 1px solid rgba(255, 255, 255, 0.14); + border-radius: 7px; + width: 30px; + height: 30px; + font-size: 14px; + cursor: pointer; + transition: background 0.12s, color 0.12s; +} +.codeblock .copy:hover { + background: rgba(249, 115, 22, 0.2); + color: #fdba74; +} +.codeblock .copy.copied { + color: #52d08a; +} + +@media (max-width: 720px) { + #app { + flex-direction: column; + } + #sidebar { + width: 100%; + flex: none; + height: auto; + position: static; + } + #content { + display: block; + width: 100%; + padding: 28px 20px 80px; + overflow-x: hidden; + } + #page { + width: 100%; + max-width: 100%; + } + #page h1 { + font-size: 30px; + } + .cell-head { + align-items: flex-start; + flex-direction: column; + gap: 4px; + } +} diff --git a/trackio/frontend_templates/logbook/logbook.js b/trackio/frontend_templates/logbook/logbook.js new file mode 100644 index 0000000000000000000000000000000000000000..8493abfc9d816bf6c220cca35233ca89bab143e6 --- /dev/null +++ b/trackio/frontend_templates/logbook/logbook.js @@ -0,0 +1,2275 @@ +(function () { + "use strict"; + + let MANIFEST = null; + const PAGE_CACHE = {}; + const UNFURL_CACHE = {}; + const LIVE_RELOAD_MS = 1500; + const FIGURE_FRAME_WINDOWS = new Set(); + let FIGURE_NAVIGATION_READY = false; + + function esc(s) { + return String(s) + .replace(/&/g, "&") + .replace(//g, ">") + .replace(/"/g, """) + .replace(/'/g, "'"); + } + + function flattenTree(node, depth, acc) { + acc.push({ node: node, depth: depth }); + (node.children || []).forEach((c) => flattenTree(c, depth + 1, acc)); + return acc; + } + + function findNode(node, slug) { + if (node.slug === slug) return node; + for (const c of node.children || []) { + const hit = findNode(c, slug); + if (hit) return hit; + } + return null; + } + + /* -------------------- minimal markdown -------------------- */ + + function inline(text) { + let t = esc(text); + t = t.replace(/`([^`]+)`/g, (_, c) => `${c}`); + t = t.replace(/\*\*([^*]+)\*\*/g, (_, c) => `${c}`); + t = t.replace(/\[([^\]]+)\]\(([^)]+)\)/g, (_, txt, url) => { + const safe = esc(url); + const attrs = /^https?:/.test(url) ? ' target="_blank" rel="noopener"' : ""; + const item = /^https?:/.test(url) ? classifyResource(url) : null; + const data = item + ? ` class="res-link" data-res-url="${esc(item.url)}"` + : ""; + return `${txt}`; + }); + t = t.replace(/(^|[\s(])(https?:\/\/[^\s<>)"'`]+)/g, (m, pre, url) => { + let rest = ""; + const cut = url.search(/"|'|<|>/); + if (cut !== -1) { + rest = url.slice(cut); + url = url.slice(0, cut); + } + const trailing = (url.match(/[.,;:!?`]+$/) || [""])[0]; + const clean = trailing ? url.slice(0, -trailing.length) : url; + if (!clean) return m; + const item = classifyResource(clean); + if (item) return `${pre}${resChipHtml(item)}${trailing}${rest}`; + return `${pre}${clean}${trailing}${rest}`; + }); + return t; + } + + function resChipHtml(item) { + return ( + `` + + `${RESOURCE_ICONS[item.kind]}` + + `${esc(item.id)}` + ); + } + + const URL_ONLY = /^(https?:\/\/[^\s]+)$/; + const DETECTED_URL = + /(https?:\/\/[^\s<>)\]"'`]+|trackio-local-dashboard:\/\/[^\s<>)\]"'`]+|trackio-artifact:\/\/[^\s<>)\]"'`]+|trackio-local-path:\/\/[^\s<>)\]"'`]+)/g; + + function renderMarkdown(md, container) { + const cellRe = /(^|\n)---\n\n([\s\S]*?)(?=\n---\n/g, "").split("\n"); + let i = 0; + let para = []; + + function flushPara() { + if (!para.length) return; + const joined = para.join(" ").trim(); + para = []; + if (!joined) return; + if (/^trackio-artifact:\/\/\S+$/.test(joined)) return; + if (/^trackio-local-path:\/\/\S+$/.test(joined)) return; + if (joined.indexOf("📦 Artifact") !== -1) { + const div = document.createElement("div"); + div.className = "artifact-chip"; + div.innerHTML = ARTIFACT_ICON_IMG + inline(joined.replace(/📦\s*/, "")); + container.appendChild(div); + return; + } + if (URL_ONLY.test(joined) || IMG_PATH.test(joined)) { + const el = renderStandaloneUrl(joined); + if (el) container.appendChild(el); + return; + } + const p = document.createElement("p"); + p.innerHTML = inline(joined); + container.appendChild(p); + } + + while (i < lines.length) { + const line = lines[i]; + const trimmed = line.trim(); + + if (trimmed === "") { + flushPara(); + i++; + continue; + } + const fence = trimmed.match(/^(`{3,}|~{3,})(.*)$/); + if (fence) { + flushPara(); + const marker = fence[1][0]; + const closeRe = new RegExp("^" + marker + "{" + fence[1].length + ",}\\s*$"); + const info = fence[2].trim(); + const buf = []; + i++; + while (i < lines.length && !closeRe.test(lines[i].trim())) { + buf.push(lines[i]); + i++; + } + i++; + const lang = (info.split(/\s+/)[0] || "").toLowerCase(); + const tm = info.match(/title=(\S+)/); + container.appendChild( + renderCode(buf.join("\n"), lang, tm ? tm[1] : null) + ); + continue; + } + if (trimmed === "---") { + flushPara(); + container.appendChild(document.createElement("hr")); + i++; + continue; + } + const h = trimmed.match(/^(#{1,4})\s+(.*)$/); + if (h) { + flushPara(); + const el = document.createElement("h" + h[1].length); + el.innerHTML = inline(h[2]); + container.appendChild(el); + i++; + continue; + } + if ( + trimmed.startsWith("|") && + i + 1 < lines.length && + /^\|?[\s:|-]*-{2,}[\s:|-]*\|?$/.test(lines[i + 1].trim()) + ) { + flushPara(); + const rows = []; + while (i < lines.length && lines[i].trim().startsWith("|")) { + rows.push(parseRow(lines[i].trim())); + i++; + } + renderTable(rows, container); + continue; + } + if (trimmed.startsWith("> ")) { + flushPara(); + const bq = document.createElement("blockquote"); + bq.innerHTML = inline(trimmed.slice(2)); + container.appendChild(bq); + i++; + continue; + } + if (/^`[^`]+`$/.test(trimmed)) { + flushPara(); + const el = document.createElement("div"); + el.className = "ts"; + el.textContent = trimmed.replace(/`/g, ""); + container.appendChild(el); + i++; + continue; + } + if (trimmed.startsWith("- ")) { + flushPara(); + const items = []; + while (i < lines.length && lines[i].trim().startsWith("- ")) { + items.push(lines[i].trim().slice(2).trim()); + i++; + } + renderList(items, container); + continue; + } + para.push(trimmed); + i++; + } + flushPara(); + } + + function renderCell(meta, body, container, artifacts) { + const cell = document.createElement("section"); + cell.className = `cell ${meta.type || "markdown"}`; + if (meta.id) cell.dataset.cellId = meta.id; + if (isPinned(meta)) cell.classList.add("pinned-source"); + + const head = document.createElement("div"); + head.className = "cell-head"; + const rawTitle = (meta.title || "").trim(); + const title = rawTitle && rawTitle.toLowerCase() !== "untitled" ? esc(rawTitle) : ""; + const when = meta.created_at ? `${esc(formatTime(meta.created_at))}` : ""; + head.innerHTML = + (title ? `
        ${title}
        ` : "") + + `
        ${when}
        `; + if (!title) head.classList.add("no-title"); + cell.appendChild(head); + + const bodyEl = document.createElement("div"); + bodyEl.className = "cell-body"; + if (meta.type === "code") { + renderCodeCell(body, bodyEl, artifacts); + } else if (meta.type === "figure") { + cell.dataset.resUrl = `trackio-figure://${(meta.title || "Figure").trim()}`; + renderFigureCell(body, bodyEl, head); + } else if (meta.type === "artifact") { + renderMarkdownPlain(body, bodyEl); + const chip = bodyEl.querySelector(".artifact-chip"); + const uri = body.match( + /(trackio-artifact:\/\/\S+|trackio-local-path:\/\/\S+|https:\/\/huggingface\.co\/buckets\/[^\s<)]+#\S+)/ + ); + if (chip && uri) chip.dataset.resUrl = uri[1]; + } else if (meta.type === "dashboard") { + const sp = body.match(/https:\/\/huggingface\.co\/spaces\/[^\s<>)"'`]+/); + cell.dataset.resUrl = sp + ? sp[0] + : `trackio-local-dashboard://${(meta.dashboard_project || "").trim()}`; + renderDashboardCell(meta, body, bodyEl, head); + } else { + const cleaned = stripDuplicateTitle(body, meta.title); + renderMarkdownPlain(cleaned, bodyEl); + renderDetectedEmbeds(cleaned, bodyEl); + } + cell.appendChild(bodyEl); + container.appendChild(cell); + return cell; + } + + function isPinned(meta) { + return Boolean(meta && (meta.pinned === true || meta.pinned === "true")); + } + + function stripDuplicateTitle(body, title) { + if (!title) return body; + const m = body.match(/^\s*#{1,6}\s+([^\n]+)\n?/); + if (!m) return body; + const norm = (s) => + s + .toLowerCase() + .replace(/[*_`#]/g, "") + .replace(/\s+/g, " ") + .trim(); + return norm(m[1]) === norm(title) ? body.slice(m[0].length) : body; + } + + function formatTime(iso) { + const d = new Date(iso); + if (Number.isNaN(d.getTime())) return iso; + return d.toLocaleString(undefined, { + month: "short", + day: "numeric", + hour: "2-digit", + minute: "2-digit", + }); + } + + function parseFences(text) { + const fenceRe = /(`{3,4}|~{3,4})([^\n]*)\n([\s\S]*?)\n\1/g; + const parts = []; + let pos = 0; + let match; + while ((match = fenceRe.exec(text))) { + if (match.index > pos) { + parts.push({ kind: "text", text: text.slice(pos, match.index) }); + } + const info = match[2].trim(); + const lang = (info.split(/\s+/)[0] || "").toLowerCase(); + const titleMatch = info.match(/title=(\S+)/); + parts.push({ + kind: lang === "result" || lang === "output" ? "output" : "code", + lang, + title: titleMatch ? titleMatch[1] : null, + text: match[3], + }); + pos = match.index + match[0].length; + } + if (pos < text.length) parts.push({ kind: "text", text: text.slice(pos) }); + return parts; + } + + function fitFigureFrame(frame, wrap) { + let doc; + try { + doc = frame.contentDocument; + } catch (e) { + return; + } + if (!doc || !doc.body) return; + frame.style.transform = "none"; + frame.style.width = "100%"; + frame.style.height = "auto"; + frame.style.position = ""; + frame.style.left = ""; + frame.style.top = ""; + const avail = wrap.clientWidth; + const isFullscreen = + document.fullscreenElement === wrap || + document.webkitFullscreenElement === wrap; + const availHeight = isFullscreen ? wrap.clientHeight : Infinity; + const cw = Math.max(doc.body.scrollWidth, doc.documentElement.scrollWidth, 1); + const ch = Math.max(doc.body.scrollHeight, doc.documentElement.scrollHeight, 1); + const scale = Math.min(avail / cw, availHeight / ch); + if (avail && scale < 1 - 1e-3) { + frame.style.width = `${cw}px`; + frame.style.height = `${ch}px`; + frame.style.transformOrigin = "top left"; + frame.style.transform = `scale(${scale})`; + if (isFullscreen) { + frame.style.position = "absolute"; + frame.style.left = `${Math.max(0, (avail - cw * scale) / 2)}px`; + frame.style.top = `${Math.max(0, (availHeight - ch * scale) / 2)}px`; + wrap.style.height = "100%"; + } else { + wrap.style.height = `${Math.ceil(ch * scale)}px`; + } + } else { + frame.style.width = "100%"; + frame.style.height = `${ch}px`; + wrap.style.height = isFullscreen ? "100%" : `${ch}px`; + } + } + + function attachFigureFit(frame, wrap) { + const refit = () => fitFigureFrame(frame, wrap); + frame.addEventListener("load", refit); + if (window.ResizeObserver) { + const ro = new ResizeObserver(() => refit()); + ro.observe(wrap); + } + } + + function renderFigureCell(text, container, head) { + const parts = parseFences(text); + const htmlPart = parts.find((part) => part.lang === "html"); + const rawPart = parts.find((part) => part.lang === "raw"); + if (!htmlPart || !htmlPart.text.trim()) { + const empty = document.createElement("p"); + empty.className = "muted"; + empty.textContent = "No figure HTML."; + container.appendChild(empty); + return; + } + const frame = document.createElement("iframe"); + frame.className = "figure-frame"; + frame.sandbox = "allow-scripts allow-same-origin"; + frame.loading = "lazy"; + frame.srcdoc = htmlPart.text; + registerFigureNavigation(frame); + const figWrap = document.createElement("div"); + figWrap.className = "figure-fit"; + figWrap.appendChild(frame); + attachFigureFit(frame, figWrap); + if (head) { + const metaEl = head.querySelector(".cell-meta"); + if (metaEl) + metaEl.insertBefore(buildFullscreenControl(figWrap, frame), metaEl.firstChild); + } + if (!rawPart || !rawPart.text.trim()) { + container.appendChild(figWrap); + return; + } + const sw = document.createElement("div"); + sw.className = "fig-switch"; + const thumb = document.createElement("span"); + thumb.className = "fig-switch-thumb"; + const figBtn = document.createElement("button"); + figBtn.type = "button"; + figBtn.className = "active"; + figBtn.textContent = "Figure"; + const rawBtn = document.createElement("button"); + rawBtn.type = "button"; + rawBtn.textContent = "Raw"; + sw.appendChild(thumb); + sw.appendChild(figBtn); + sw.appendChild(rawBtn); + const rawView = document.createElement("div"); + rawView.className = "figure-raw"; + rawView.hidden = true; + const pre = document.createElement("pre"); + const code = document.createElement("code"); + code.textContent = rawPart.text; + pre.appendChild(code); + rawView.appendChild(pre); + rawView.appendChild(copySnippetBtn(rawPart.text)); + const select = (showRaw) => { + sw.classList.toggle("raw", showRaw); + figBtn.classList.toggle("active", !showRaw); + rawBtn.classList.toggle("active", showRaw); + figWrap.hidden = showRaw; + rawView.hidden = !showRaw; + }; + figBtn.addEventListener("click", () => select(false)); + rawBtn.addEventListener("click", () => select(true)); + if (head) { + head.insertBefore(sw, head.querySelector(".cell-meta")); + } else { + container.appendChild(sw); + } + container.appendChild(figWrap); + container.appendChild(rawView); + } + + // Poster embeds can send `{ type: "trackio-logbook:navigate", target: "..." }` + // from their iframe. Only accept messages from figure frames we created, and + // only route to pages that are present in this logbook's manifest. + function registerFigureNavigation(frame) { + const registerFrameWindow = () => { + if (frame.contentWindow) FIGURE_FRAME_WINDOWS.add(frame.contentWindow); + }; + // `srcdoc` replaces the initial about:blank document. Register after that + // navigation as well, so messages come from the live figure document. + frame.addEventListener("load", registerFrameWindow); + registerFrameWindow(); + if (FIGURE_NAVIGATION_READY) return; + FIGURE_NAVIGATION_READY = true; + window.addEventListener("message", (event) => { + if (!FIGURE_FRAME_WINDOWS.has(event.source)) return; + const message = event.data; + if (!message || message.type !== "trackio-logbook:navigate") return; + const target = String(message.target || "").replace(/^#?\//, ""); + if (!target || !MANIFEST || !findNode(MANIFEST.root, target)) return; + const hash = "#/" + target; + if (location.hash === hash) scrollToHash(); + else location.hash = hash; + }); + } + + const FULLSCREEN_ICON = + ''; + + // Figures are rendered in same-origin iframes, so fullscreen the fitted + // wrapper rather than the iframe document. This uses the browser's native + // fullscreen UI and preserves the figure's existing responsive sizing. + function buildFullscreenControl(figWrap, frame) { + const wrap = document.createElement("span"); + wrap.className = "cell-fullscreen"; + const btn = document.createElement("button"); + btn.type = "button"; + btn.className = "cell-fullscreen-btn"; + btn.setAttribute("aria-label", "Open figure in fullscreen"); + btn.title = "Open figure in fullscreen"; + btn.innerHTML = FULLSCREEN_ICON; + wrap.appendChild(btn); + + btn.addEventListener("click", async () => { + const request = figWrap.requestFullscreen || figWrap.webkitRequestFullscreen; + if (!request) return; + try { + await request.call(figWrap); + } catch (_) { + // Fullscreen can be disabled by the embedding browser or policy. + } + }); + document.addEventListener("fullscreenchange", () => { + if (document.fullscreenElement === figWrap) fitFigureFrame(frame, figWrap); + }); + return wrap; + } + + function extractUrls(text) { + const seen = new Set(); + const urls = []; + let match; + while ((match = DETECTED_URL.exec(text))) { + const url = match[1].replace(/[.,;:!?'"`]+$/, ""); + if (!seen.has(url)) { + seen.add(url); + urls.push(url); + } + } + DETECTED_URL.lastIndex = 0; + return urls; + } + + const IMG_URL = /(\.(png|jpe?g|gif|svg|webp)(\?|$)|\/artifact_blob\/)/i; + + function renderDetectedEmbeds(text, container) { + extractUrls(text).forEach((url) => { + if (url.startsWith("trackio-local-dashboard://")) { + const div = document.createElement("div"); + div.className = "artifact-chip"; + div.dataset.resUrl = url; + div.innerHTML = + "🎯 Local Trackio dashboard — publish the logbook to share it"; + container.appendChild(div); + } else if (IMG_URL.test(url)) { + container.appendChild(renderImage(url)); + } else if (/huggingface\.co\/spaces\//.test(url)) { + maybeEmbedTrackioSpace(url, container); + } + }); + } + + function renderStandaloneUrl(url) { + if (IMG_URL.test(url) || IMG_PATH.test(url)) return renderImage(url); + const item = classifyResource(url); + if (item) { + const marker = document.createElement("span"); + marker.className = "resource-anchor"; + marker.dataset.resUrl = item.url; + marker.setAttribute("aria-hidden", "true"); + return marker; + } + const p = document.createElement("p"); + p.innerHTML = inline(url); + return p; + } + + function renderImage(url) { + const a = document.createElement("a"); + a.className = "unfurl image"; + a.href = url; + a.target = "_blank"; + a.rel = "noopener"; + const img = document.createElement("img"); + img.loading = "lazy"; + img.src = url; + img.alt = "artifact image"; + a.appendChild(img); + return a; + } + + function maybeEmbedTrackioSpace(url, container) { + const id = url.split("/spaces/")[1].split(/[?#]/)[0].replace(/\/$/, ""); + const holder = document.createElement("div"); + container.appendChild(holder); + getJSON(`https://huggingface.co/api/spaces/${id}`).then((d) => { + const tags = (d && d.tags) || []; + if (tags.some((t) => String(t).toLowerCase() === "trackio")) { + renderTrackioSpaceEmbed(holder, url, id); + } else { + holder.remove(); + } + }); + } + + function jpGutter(label) { + const g = document.createElement("div"); + g.className = "jp-gutter"; + g.textContent = label; + return g; + } + + function renderOutArtifact(info) { + const remote = !info.local && !!info.url; + const el = document.createElement(remote ? "a" : "div"); + el.className = "out-artifact"; + if (remote) { + el.href = info.url; + el.target = "_blank"; + el.rel = "noopener"; + } + el.dataset.resUrl = info.resUrl; + const parts = [info.type, info.size].filter(Boolean).map(esc); + const state = remote + ? `Open ↗` + : `publish to share`; + const meta = parts.length ? `${parts.join(" · ")} · ${state}` : state; + el.innerHTML = + `${ARTIFACT_ICON_IMG}` + + `${esc(info.name)}` + + `${meta}`; + return el; + } + + function renderCodeCell(body, container, artifacts) { + const parts = parseFences(body); + const block = document.createElement("div"); + block.className = "jp"; + const input = document.createElement("div"); + input.className = "jp-in"; + const inputBody = document.createElement("div"); + inputBody.className = "jp-in-body"; + input.appendChild(jpGutter("In")); + input.appendChild(inputBody); + let metaEl = null; + let outputEl = null; + let outBody = null; + const ensureOut = () => { + if (outputEl) return; + outputEl = document.createElement("div"); + outputEl.className = "jp-out"; + outputEl.appendChild(jpGutter("Out")); + outBody = document.createElement("div"); + outBody.className = "jp-out-body"; + outputEl.appendChild(outBody); + }; + const embedTexts = []; + parts.forEach((part) => { + if (part.kind === "text") { + const text = part.text.trim(); + if (!text) return; + if (/^exit\s+\S+(\s|·)/.test(text)) { + metaEl = document.createElement("div"); + metaEl.className = "jp-meta"; + metaEl.textContent = text.replace( + /\s*·\s*[A-Z][a-z]{2} \d{1,2}, \d{4}.*$/, + "" + ); + } else { + renderMarkdownPlain(text, container); + embedTexts.push(text); + } + return; + } + if (part.kind === "output") { + ensureOut(); + const pre = document.createElement("pre"); + pre.className = "jp-out-pre"; + const c = document.createElement("code"); + c.textContent = part.text; + pre.appendChild(c); + outBody.appendChild(pre); + outputEl.appendChild(copySnippetBtn(part.text)); + embedTexts.push(part.text); + return; + } + inputBody.appendChild(renderCode(part.text, part.lang, part.title)); + }); + if (artifacts && artifacts.length) { + ensureOut(); + const artWrap = document.createElement("div"); + artWrap.className = "jp-artifacts"; + artifacts.forEach((a) => { + artWrap.appendChild( + renderOutArtifact(artifactInfoFromCell(a.meta, a.body)) + ); + }); + outBody.appendChild(artWrap); + } + if (inputBody.childNodes.length > 0) block.appendChild(input); + if (metaEl) block.appendChild(metaEl); + if (outputEl) block.appendChild(outputEl); + if (block.childNodes.length) container.appendChild(block); + embedTexts.forEach((text) => renderDetectedEmbeds(text, container)); + } + + function parseRow(line) { + let s = line.trim(); + if (s.startsWith("|")) s = s.slice(1); + if (s.endsWith("|")) s = s.slice(0, -1); + return s.split(/(? c.replace(/\\\|/g, "|").trim()); + } + + const TRUTHY = ["x", "✓", "✔", "yes", "done", "true", "[x]"]; + const CHIP_COLORS = [ + ["#e7f0ff", "#2158d0"], + ["#fde8ec", "#c62a4b"], + ["#e6f7ee", "#1a8a55"], + ["#fdf0e0", "#b26a12"], + ["#efe9ff", "#5b3bd6"], + ["#e6f6f8", "#127b88"], + ]; + + function chipColor(name) { + let h = 0; + for (let i = 0; i < name.length; i++) h = (h * 31 + name.charCodeAt(i)) >>> 0; + return CHIP_COLORS[h % CHIP_COLORS.length]; + } + + const STATUS_MAP = { + "": ["Planned", "gray"], + planned: ["Planned", "gray"], + todo: ["Planned", "gray"], + "to do": ["Planned", "gray"], + backlog: ["Planned", "gray"], + "in progress": ["In progress", "amber"], + "in-progress": ["In progress", "amber"], + wip: ["In progress", "amber"], + running: ["In progress", "amber"], + active: ["In progress", "amber"], + done: ["Done", "green"], + complete: ["Done", "green"], + completed: ["Done", "green"], + blocked: ["Blocked", "red"], + failed: ["Failed", "red"], + abandoned: ["Abandoned", "gray"], + }; + + function statusBadge(val) { + const [label, tone] = STATUS_MAP[val.toLowerCase()] || [val || "—", "gray"]; + return `${esc(label)}`; + } + + function renderTable(rows, container) { + if (rows.length < 2) return; + const header = rows[0]; + const body = rows.slice(2); + const roles = header.map((h) => { + const t = h.toLowerCase(); + if (t.includes("status") || t.includes("state")) return "status"; + if (t.includes("progress") || t.includes("complete") || t.includes("done")) + return "check"; + if (t === "who" || t.includes("assign") || t.includes("owner")) return "who"; + return "text"; + }); + const table = document.createElement("table"); + table.className = "board"; + const thead = document.createElement("thead"); + const htr = document.createElement("tr"); + header.forEach((h, c) => { + const th = document.createElement("th"); + th.textContent = h; + if (roles[c] === "check") th.className = "col-check"; + htr.appendChild(th); + }); + thead.appendChild(htr); + table.appendChild(thead); + const tbody = document.createElement("tbody"); + body.forEach((cells) => { + const nonEmpty = cells.filter((x) => x !== "").length; + if (header.length > 1 && nonEmpty === 1 && cells[0]) { + const tr = document.createElement("tr"); + tr.className = "section-row"; + const td = document.createElement("td"); + td.colSpan = header.length; + td.innerHTML = inline(cells[0]); + tr.appendChild(td); + tbody.appendChild(tr); + return; + } + const tr = document.createElement("tr"); + header.forEach((_, c) => { + const td = document.createElement("td"); + const val = (cells[c] || "").trim(); + if (roles[c] === "status") { + td.className = "col-status"; + td.innerHTML = statusBadge(val); + } else if (roles[c] === "check") { + td.className = "col-check"; + const on = TRUTHY.indexOf(val.toLowerCase()) !== -1; + td.innerHTML = `${on ? "✓" : ""}`; + } else if (roles[c] === "who") { + if (!val || /^to assign$/i.test(val)) { + td.innerHTML = `${esc(val || "—")}`; + } else { + const [bg, fg] = chipColor(val); + td.innerHTML = `${esc(val)}`; + } + } else { + td.innerHTML = inline(val); + } + tr.appendChild(td); + }); + const link = tr.querySelector('a[href^="#/"]'); + if (link) { + tr.classList.add("linked-row"); + tr.addEventListener("click", (e) => { + if (e.target.tagName !== "A") location.hash = link.getAttribute("href"); + }); + } + tbody.appendChild(tr); + }); + table.appendChild(tbody); + const wrap = document.createElement("div"); + wrap.className = "board-wrap"; + wrap.appendChild(table); + container.appendChild(wrap); + } + + const HL_RULES = { + python: [ + ["comment", /#[^\n]*/], + ["string", /'''[\s\S]*?'''|"""[\s\S]*?"""|'(?:\\.|[^'\\])*'|"(?:\\.|[^"\\])*"/], + [ + "keyword", + /\b(?:def|class|return|if|elif|else|for|while|import|from|as|with|try|except|finally|raise|in|not|and|or|is|None|True|False|lambda|yield|global|nonlocal|assert|pass|break|continue|async|await|print)\b/, + ], + ["number", /\b\d[\d_.eE+-]*\b/], + ], + bash: [ + ["comment", /#[^\n]*/], + ["string", /'(?:\\.|[^'\\])*'|"(?:\\.|[^"\\])*"/], + ["keyword", /\b(?:if|then|else|fi|for|in|do|done|while|case|esac|function|export|source|echo|cd|return|local)\b/], + ["number", /(?<=\s)-{1,2}[a-zA-Z][\w-]*/], + ], + json: [ + ["string", /"(?:\\.|[^"\\])*"/], + ["keyword", /\b(?:true|false|null)\b/], + ["number", /-?\b\d[\d.eE+-]*\b/], + ], + yaml: [ + ["comment", /#[^\n]*/], + ["string", /'(?:\\.|[^'\\])*'|"(?:\\.|[^"\\])*"/], + ["keyword", /\b(?:true|false|null|yes|no)\b/], + ["number", /-?\b\d[\d.eE+-]*\b/], + ], + }; + HL_RULES.javascript = HL_RULES.python; + HL_RULES.typescript = HL_RULES.python; + HL_RULES.sql = [ + ["comment", /--[^\n]*/], + ["string", /'(?:\\.|[^'\\])*'/], + [ + "keyword", + /\b(?:SELECT|FROM|WHERE|JOIN|LEFT|RIGHT|INNER|OUTER|ON|GROUP|BY|ORDER|LIMIT|INSERT|INTO|VALUES|UPDATE|SET|DELETE|CREATE|TABLE|AS|AND|OR|NOT|NULL|COUNT|DISTINCT|IN)\b/i, + ], + ["number", /\b\d[\d.]*\b/], + ]; + + function highlightCode(code, lang) { + const rules = HL_RULES[lang]; + if (!rules) return esc(code); + const combined = new RegExp(rules.map((r) => "(" + r[1].source + ")").join("|"), "g"); + let out = ""; + let last = 0; + let m; + while ((m = combined.exec(code))) { + if (m[0] === "") { + combined.lastIndex++; + continue; + } + out += esc(code.slice(last, m.index)); + let gi = 1; + while (gi < m.length && m[gi] === undefined) gi++; + out += `${esc(m[0])}`; + last = m.index + m[0].length; + } + out += esc(code.slice(last)); + return out; + } + + function copySnippetBtn(text) { + const btn = document.createElement("button"); + btn.type = "button"; + btn.className = "copy-snippet"; + btn.title = "Copy"; + btn.textContent = "⧉"; + btn.addEventListener("click", (e) => { + e.preventDefault(); + e.stopPropagation(); + copyText(text, btn, "⧉"); + }); + return btn; + } + + function renderCode(code, lang, title) { + const pre = document.createElement("pre"); + pre.className = "hl"; + const c = document.createElement("code"); + c.innerHTML = highlightCode(code, lang); + pre.appendChild(c); + if (!title) { + const wrap = document.createElement("div"); + wrap.className = "snippet"; + wrap.appendChild(pre); + wrap.appendChild(copySnippetBtn(code)); + return wrap; + } + const det = document.createElement("details"); + det.className = "code-accordion"; + det.dataset.resUrl = `trackio-script://${title}`; + const sum = document.createElement("summary"); + sum.innerHTML = + `</>` + + `${esc(title)}`; + sum + .querySelector(".code-name") + .addEventListener("click", (e) => e.preventDefault()); + det.appendChild(sum); + const wrap = document.createElement("div"); + wrap.className = "snippet"; + wrap.appendChild(pre); + wrap.appendChild(copySnippetBtn(code)); + det.appendChild(wrap); + return det; + } + + const IMG_PATH = /^[^\s]+\.(png|jpe?g|gif|svg|webp)$/i; + + function renderList(items, container) { + let ul = null; + items.forEach((item) => { + if (URL_ONLY.test(item) || IMG_PATH.test(item)) { + const el = renderStandaloneUrl(item); + if (el) { + ul = null; + container.appendChild(el); + } + } else if (item.indexOf("📦 Artifact") !== -1) { + ul = null; + const div = document.createElement("div"); + div.className = "artifact-chip"; + div.innerHTML = inline(item.replace("📦", "🪣")); + container.appendChild(div); + } else if (item.indexOf("trackio-local-dashboard://") !== -1) { + ul = null; + const uri = item.match(/trackio-local-dashboard:\/\/\S+/)?.[0] || ""; + const div = document.createElement("div"); + div.className = "artifact-chip"; + if (uri) div.dataset.resUrl = uri; + div.innerHTML = + "🎯 Local dashboard — publish the logbook to share it"; + container.appendChild(div); + } else { + if (!ul) { + ul = document.createElement("ul"); + container.appendChild(ul); + } + const li = document.createElement("li"); + li.innerHTML = inline(item); + ul.appendChild(li); + } + }); + } + + /* -------------------- resources rail -------------------- */ + + function fmt(n) { + if (n == null) return null; + if (n >= 1e6) return (n / 1e6).toFixed(1) + "M"; + if (n >= 1e3) return (n / 1e3).toFixed(1) + "k"; + return String(n); + } + + const RESOURCE_SECTIONS = [ + ["dashboard", "Dashboards", "🎯"], + ["model", "Models", "🤗"], + ["dataset", "Datasets", "📊"], + ["space", "Spaces", "🚀"], + ["artifact", "Artifacts", "🪣"], + ["paper", "Papers", "📄"], + ["repo", "Code", "🐙"], + ["job", "Jobs", "⚙️"], + ["bucket", "Buckets", "🪣"], + ]; + + const RESOURCE_ICONS = Object.fromEntries( + RESOURCE_SECTIONS.map(([kind, , icon]) => [kind, icon]) + ); + + const ARTIFACT_ICON_IMG = ``; + const DASHBOARD_ICON_IMG = ``; + + const RESOURCE_DESC = { + dashboard: "Dashboard", + model: "Model", + dataset: "Dataset", + space: "Space", + artifact: "Artifact — in Bucket", + paper: "Paper", + repo: "Repository", + job: "Job — status & logs", + bucket: "Bucket — artifacts & data", + }; + + const HF_NON_MODEL_PREFIX = + /^(datasets|spaces|jobs|buckets|papers|blog|docs|api|posts|collections|organizations|settings|new|join|login|pricing|tasks|learn|chat|models)(\/|$)/; + + function hfId(url, marker) { + return url.split(marker)[1].split(/[?#]/)[0].replace(/\/$/, ""); + } + + function classifyResource(url) { + if (IMG_URL.test(url)) { + return null; + } + let m; + if (url.startsWith("trackio-local-dashboard://")) { + return { + kind: "dashboard", + id: url.slice("trackio-local-dashboard://".length), + url, + local: true, + }; + } + if (url.startsWith("trackio-artifact://")) { + return { + kind: "artifact", + id: url.slice("trackio-artifact://".length), + url, + local: true, + }; + } + if (url.startsWith("trackio-local-path://")) { + return { + kind: "artifact", + id: url.slice("trackio-local-path://".length), + url, + local: true, + }; + } + if ((m = url.match(/huggingface\.co\/buckets\/[^#\s]+#(.+)/))) { + return { kind: "artifact", id: decodeURIComponent(m[1]), url }; + } + if (/huggingface\.co\/datasets\/[^/]+\/[^/]+/.test(url)) { + return { kind: "dataset", id: hfId(url, "/datasets/"), url }; + } + if (/huggingface\.co\/spaces\/[^/]+\/[^/]+/.test(url)) { + return { kind: "space", id: hfId(url, "/spaces/"), url }; + } + if (/huggingface\.co\/jobs\//.test(url)) { + const parts = hfId(url, "/jobs/").split("/"); + const jid = parts[1] || ""; + return { + kind: "job", + id: parts[0] + (jid ? ` · ${jid.slice(0, 12)}${jid.length > 12 ? "…" : ""}` : ""), + url, + }; + } + if (/huggingface\.co\/buckets\//.test(url)) { + return { kind: "bucket", id: hfId(url, "/buckets/"), url }; + } + if (/huggingface\.co\/papers\//.test(url)) { + return { kind: "paper", id: `Paper ${hfId(url, "/papers/")}`, url }; + } + if ((m = url.match(/arxiv\.org\/(?:abs|pdf)\/([^?#\s]+)/))) { + return { kind: "paper", id: `arXiv:${m[1].replace(/\.pdf$/, "")}`, url }; + } + if ((m = url.match(/github\.com\/([^/?#]+\/[^/?#]+)/))) { + return { kind: "repo", id: m[1], url }; + } + if ((m = url.match(/huggingface\.co\/([^?#]+)/))) { + const rest = m[1].replace(/\/$/, ""); + if (/^[^/]+\/[^/]+$/.test(rest) && !HF_NON_MODEL_PREFIX.test(rest)) { + return { kind: "model", id: rest, url }; + } + } + return null; + } + + async function fillRailMeta(item, el) { + if (item.local) return; + const meta = el.querySelector(".rail-meta"); + const set = (parts) => { + const text = parts.filter(Boolean).join(" · "); + if (text) meta.textContent = text; + }; + if (item.kind === "model") { + const d = await getJSON(`https://huggingface.co/api/models/${item.id}`); + if (d) set([d.pipeline_tag, `↓ ${fmt(d.downloads)}`, `♥ ${fmt(d.likes)}`]); + } else if (item.kind === "dataset") { + const d = await getJSON(`https://huggingface.co/api/datasets/${item.id}`); + if (d) set([`↓ ${fmt(d.downloads)}`, `♥ ${fmt(d.likes)}`]); + } else if (item.kind === "space" || item.kind === "dashboard") { + const d = await getJSON(`https://huggingface.co/api/spaces/${item.id}`); + if (d) set([d.sdk, `♥ ${fmt(d.likes)}`]); + } else if (item.kind === "repo") { + const d = await getJSON(`https://api.github.com/repos/${item.id}`); + if (d) set([`★ ${fmt(d.stargazers_count)}`, d.language]); + } else if (item.kind === "paper") { + const m = item.id.match(/^(?:arXiv:|Paper )(.+)$/); + if (!m) return; + const arxivId = m[1].replace(/v\d+$/, ""); + const d = await getJSON(`https://huggingface.co/api/papers/${arxivId}`); + if (d && d.id) { + if (el.href) el.href = `https://huggingface.co/papers/${d.id}`; + const title = + d.title && d.title.length > 70 ? `${d.title.slice(0, 69)}…` : d.title; + set([title, d.upvotes ? `▲ ${fmt(d.upvotes)}` : null]); + } + } + } + + const BARE_ID_SKIP_DIRS = new Set([ + "scripts", + "configs", + "config", + "results", + "figures", + "data", + "datasets", + "src", + "tests", + "test", + "examples", + "pages", + "assets", + "docs", + "outputs", + "output", + "checkpoints", + "models", + "utils", + "lib", + "bin", + "tmp", + "node_modules", + "dist", + "build", + ]); + const FILE_EXT_RE = + /\.(py|pyc|js|ts|jsx|tsx|json|jsonl|yaml|yml|csv|tsv|md|txt|sh|bash|html|css|png|jpe?g|svg|gif|webp|ipynb|toml|cfg|ini|lock|pdf|whl|gz|zip|tar|pt|pth|bin|safetensors|db|sqlite)$/i; + + async function detectBareModelIds(text, groups) { + const stripped = text.replace(DETECTED_URL, " "); + DETECTED_URL.lastIndex = 0; + const seen = new Set(); + const candidates = []; + const re = /(^|[\s"'`(=[])([A-Za-z0-9][\w.-]*\/[A-Za-z0-9][\w.-]*)/g; + let m; + while ((m = re.exec(stripped)) && candidates.length < 15) { + const id = m[2].replace(/[.:,]+$/, ""); + if (seen.has(id)) continue; + seen.add(id); + if (FILE_EXT_RE.test(id)) continue; + if (BARE_ID_SKIP_DIRS.has(id.split("/")[0].toLowerCase())) continue; + candidates.push(id); + } + const results = await Promise.all( + candidates.map((id) => getJSON(`https://huggingface.co/api/models/${id}`)) + ); + let added = false; + const confirmed = []; + results.forEach((d, i) => { + if (!d || !d.id) return; + const id = candidates[i]; + confirmed.push(id); + const url = `https://huggingface.co/${id}`; + if (!groups.has("model")) groups.set("model", new Map()); + if (!groups.get("model").has(url)) { + groups.get("model").set(url, { kind: "model", id, url }); + added = true; + } + }); + return { added, confirmed }; + } + + function chipifyBareIds(ids, container) { + if (!ids.length) return; + const escaped = ids.map((id) => id.replace(/[.*+?^${}()|[\]\\]/g, "\\$&")); + const pattern = new RegExp("(" + escaped.join("|") + ")"); + const splitter = new RegExp(pattern.source, "g"); + container + .querySelectorAll(".cell.markdown .cell-body") + .forEach((body) => { + const walker = document.createTreeWalker(body, NodeFilter.SHOW_TEXT, { + acceptNode(node) { + if (!pattern.test(node.nodeValue)) return NodeFilter.FILTER_REJECT; + for ( + let el = node.parentElement; + el && el !== body; + el = el.parentElement + ) { + if (["A", "CODE", "PRE", "BUTTON"].indexOf(el.tagName) !== -1) { + return NodeFilter.FILTER_REJECT; + } + } + return NodeFilter.FILTER_ACCEPT; + }, + }); + const nodes = []; + while (walker.nextNode()) nodes.push(walker.currentNode); + nodes.forEach((node) => { + const frag = document.createDocumentFragment(); + node.nodeValue.split(splitter).forEach((part) => { + if (ids.indexOf(part) !== -1) { + const holder = document.createElement("span"); + holder.innerHTML = resChipHtml({ + kind: "model", + id: part, + url: `https://huggingface.co/${part}`, + }); + frag.appendChild(holder.firstChild); + } else if (part) { + frag.appendChild(document.createTextNode(part)); + } + }); + node.parentNode.replaceChild(frag, node); + }); + }); + } + + let RAIL_TOKEN = 0; + const RAIL_EXCLUDE_KINDS = new Set(["paper", "repo", "artifact", "dashboard"]); + + function railDashboardItem(it) { + return { + kind: "dashboard", + id: it.id, + url: it.local ? it.resUrl : it.url || it.resUrl, + local: it.local, + railLabel: "Dashboard", + }; + } + + function promoteTrackioSpacesInRail(groups, dashResUrls, body, rail, token) { + const spaceGroup = groups.get("space"); + if (!spaceGroup || !spaceGroup.size) return; + spaceGroup.forEach((item, url) => { + getJSON(`https://huggingface.co/api/spaces/${item.id}`) + .then((d) => { + if (rail.dataset.renderToken !== token) return; + const tags = (d && d.tags) || []; + if (!tags.some((t) => String(t).toLowerCase() === "trackio")) return; + if (dashResUrls.has(url)) return; + spaceGroup.delete(url); + if (!spaceGroup.size) groups.delete("space"); + if (!groups.has("dashboard")) groups.set("dashboard", new Map()); + groups.get("dashboard").set(url, { + kind: "dashboard", + id: item.id, + url: item.url, + local: false, + railLabel: "Dashboard", + }); + dashResUrls.add(url); + paintRail(groups, body, rail); + }) + .catch(() => {}); + }); + } + + function renderRail(md, body, rail) { + const token = String(++RAIL_TOKEN); + rail.dataset.renderToken = token; + const scanText = md.replace( + /(`{3,4}|~{3,4})(html|raw)[^\n]*\n[\s\S]*?\n\1/g, + " " + ); + const groups = new Map(); + const dashMap = new Map(); + const dashResUrls = new Set(); + cellDashboardItems(md).forEach((it) => { + if (dashMap.has(it.resUrl)) return; + dashMap.set(it.resUrl, railDashboardItem(it)); + dashResUrls.add(it.resUrl); + }); + if (dashMap.size) groups.set("dashboard", dashMap); + extractUrls(scanText).forEach((url) => { + const item = classifyResource(url); + if (!item) return; + if (RAIL_EXCLUDE_KINDS.has(item.kind)) return; + if (dashResUrls.has(url)) return; + if (!groups.has(item.kind)) groups.set(item.kind, new Map()); + groups.get(item.kind).set(item.url, item); + }); + const artMap = new Map(); + cellArtifactItems(md).forEach((it) => { + if (artMap.has(it.resUrl)) return; + const label = it.type + ? it.type.charAt(0).toUpperCase() + it.type.slice(1) + : "Artifact"; + artMap.set(it.resUrl, { + kind: "artifact", + id: it.name, + url: it.local ? it.resUrl : it.url || it.resUrl, + local: it.local, + railLabel: label, + size: it.size, + }); + }); + if (artMap.size) groups.set("artifact", artMap); + paintRail(groups, body, rail); + promoteTrackioSpacesInRail(groups, dashResUrls, body, rail, token); + detectBareModelIds(scanText, groups) + .then((result) => { + if (rail.dataset.renderToken !== token) return; + chipifyBareIds(result.confirmed, body); + if (result.added) paintRail(groups, body, rail); + }) + .catch(() => {}); + } + + function paintRail(groups, body, rail) { + rail.innerHTML = ""; + RESOURCE_SECTIONS.forEach(([kind, label, icon]) => { + const group = groups.get(kind); + if (!group || !group.size) return; + group.forEach((item) => { + const el = document.createElement(item.local ? "div" : "a"); + el.className = item.local ? "rail-item rail-local" : "rail-item"; + if (!item.local) { + el.href = item.url; + el.target = "_blank"; + el.rel = "noopener"; + } + el.dataset.resUrl = item.url; + let desc; + if (kind === "artifact") { + const state = item.local ? "publish to share" : "Open ↗"; + desc = item.size ? `${item.size} · ${state}` : state; + } else if (kind === "dashboard") { + desc = item.local ? "publish to share" : "Open ↗"; + } else { + desc = item.local ? "publish to share" : RESOURCE_DESC[kind]; + } + const kindLabel = item.railLabel || label.replace(/s$/, ""); + const iconHtml = + kind === "artifact" + ? ARTIFACT_ICON_IMG + : kind === "dashboard" + ? DASHBOARD_ICON_IMG + : `${icon}`; + el.innerHTML = + `
        ${iconHtml}${esc(kindLabel)}
        ` + + `
        ${esc(item.id)}
        ` + + `
        ${esc(desc)}
        `; + rail.appendChild(el); + fillRailMeta(item, el) + .catch(() => {}) + .finally(() => scheduleRailPosition(body, rail)); + }); + }); + rail.hidden = !rail.childElementCount; + scheduleRailPosition(body, rail); + } + + function resourceAnchor(body, url) { + return body.querySelector(`[data-res-url="${CSS.escape(url)}"]`); + } + + function positionRail(body, rail) { + if (rail.hidden || !rail.isConnected) return; + const bodyRect = body.getBoundingClientRect(); + const items = Array.from(rail.querySelectorAll(".rail-item")).map((el, index) => { + const anchor = resourceAnchor(body, el.dataset.resUrl); + return { + el, + index, + desired: anchor + ? Math.max(0, anchor.getBoundingClientRect().top - bodyRect.top) + : 0, + }; + }); + items.sort((a, b) => a.desired - b.desired || a.index - b.index); + let cursor = 0; + items.forEach(({ el, desired }) => { + const top = Math.max(desired, cursor); + el.style.top = `${top}px`; + cursor = top + el.offsetHeight + 10; + }); + rail.style.minHeight = `${Math.max(body.offsetHeight, cursor)}px`; + } + + function scheduleRailPosition(body, rail) { + cancelAnimationFrame(Number(rail.dataset.positionFrame || 0)); + rail.dataset.positionFrame = String( + requestAnimationFrame(() => positionRail(body, rail)) + ); + } + + function dashboardSubdomainFromUrl(url) { + return spaceIdFromUrl(url).toLowerCase().replace(/[^a-z0-9-]/g, "-"); + } + + function dashboardOpenLink(head, url) { + if (!head || !url) return; + const meta = head.querySelector(".cell-meta"); + if (!meta) return; + let link = meta.querySelector(".cell-open"); + if (!link) { + link = document.createElement("a"); + link.className = "cell-open"; + link.target = "_blank"; + link.rel = "noopener"; + meta.insertBefore(link, meta.firstChild); + } + link.href = url; + link.textContent = "Open ↗"; + } + + function dashboardFrame(src) { + const iframe = document.createElement("iframe"); + iframe.className = "dashboard-frame"; + iframe.src = src; + iframe.loading = "lazy"; + iframe.allow = "clipboard-read; clipboard-write; fullscreen"; + return iframe; + } + + function renderDashboardCell(meta, body, container, head) { + const project = meta.dashboard_project || ""; + const holder = document.createElement("div"); + holder.className = "dashboard-shell"; + container.appendChild(holder); + const space = body.match(/https:\/\/huggingface\.co\/spaces\/[^\s<>)"'`]+/); + if (space) { + const url = space[0]; + dashboardOpenLink(head, url); + holder.appendChild( + dashboardFrame( + `https://${dashboardSubdomainFromUrl(url)}.hf.space/?sidebar=hidden&hide_empty_tabs=true` + ) + ); + return; + } + if (!isLocalPreview()) { + holder.className = "artifact-chip"; + holder.dataset.resUrl = `trackio-local-dashboard://${project}`; + holder.innerHTML = + "🎯 Local Trackio dashboard — publish the logbook to share it"; + return; + } + const open = "/dashboard/?project=" + encodeURIComponent(project); + dashboardOpenLink(head, open); + holder.appendChild( + dashboardFrame(open + "&sidebar=hidden&hide_empty_tabs=true"), + ); + } + + const CACHE_PREFIX = "trackio-logbook:"; + const CACHE_TTL_MS = 24 * 60 * 60 * 1000; + const CACHE_MISS_TTL_MS = 60 * 60 * 1000; + + function cacheGet(url) { + try { + const raw = localStorage.getItem(CACHE_PREFIX + url); + if (!raw) return undefined; + const entry = JSON.parse(raw); + const ttl = entry.d === null ? CACHE_MISS_TTL_MS : CACHE_TTL_MS; + if (Date.now() - entry.t > ttl) { + localStorage.removeItem(CACHE_PREFIX + url); + return undefined; + } + return entry.d; + } catch (e) { + return undefined; + } + } + + function cacheSet(url, data) { + try { + localStorage.setItem( + CACHE_PREFIX + url, + JSON.stringify({ t: Date.now(), d: data }) + ); + } catch (e) {} + } + + async function getJSON(url) { + if (UNFURL_CACHE[url] !== undefined) return UNFURL_CACHE[url]; + const cached = cacheGet(url); + if (cached !== undefined) { + UNFURL_CACHE[url] = cached; + return cached; + } + try { + const r = await fetch(url); + if (!r.ok) throw new Error(r.status); + const j = await r.json(); + UNFURL_CACHE[url] = j; + cacheSet(url, j); + return j; + } catch (e) { + UNFURL_CACHE[url] = null; + cacheSet(url, null); + return null; + } + } + + /* -------------------- routing / render -------------------- */ + + function buildTree() { + const tree = document.getElementById("tree"); + tree.innerHTML = ""; + const nodes = []; + (MANIFEST.root.children || []).forEach((c) => flattenTree(c, 0, nodes)); + nodes.forEach(({ node, depth }) => { + const a = document.createElement("a"); + a.href = "#/" + node.slug; + a.className = "depth-" + depth; + a.dataset.slug = node.slug; + const mark = document.createElement("span"); + mark.className = "tree-mark"; + mark.textContent = "§"; + a.appendChild(mark); + a.appendChild(document.createTextNode(" " + node.title)); + tree.appendChild(a); + }); + } + + function highlight(slug) { + document + .querySelectorAll("#tree a") + .forEach((a) => a.classList.toggle("active", a.dataset.slug === slug)); + document + .getElementById("book-head") + .classList.toggle("active", slug === MANIFEST.root.slug); + } + + function clearPageCache() { + Object.keys(PAGE_CACHE).forEach((key) => { + delete PAGE_CACHE[key]; + }); + } + + function isLocalPreview() { + return ["localhost", "127.0.0.1", "::1"].includes(location.hostname); + } + + async function fetchManifest() { + const suffix = isLocalPreview() ? `?t=${Date.now()}` : ""; + return await (await fetch("./logbook.json" + suffix, { cache: "no-store" })).json(); + } + + async function fetchPage(node) { + if (PAGE_CACHE[node.file]) return PAGE_CACHE[node.file]; + try { + const suffix = isLocalPreview() + ? `?rev=${encodeURIComponent(MANIFEST.revision || "")}` + : ""; + const r = await fetch("./" + node.file + suffix, { cache: "no-store" }); + PAGE_CACHE[node.file] = await r.text(); + } catch (e) { + PAGE_CACHE[node.file] = "# " + node.title + "\n\n_Could not load section._"; + } + return PAGE_CACHE[node.file]; + } + + function allNodes() { + const nodes = []; + flattenTree(MANIFEST.root, 0, nodes); + return nodes.map(({ node }) => node); + } + + function collectPinnedCells(markdown, nodes) { + const cells = []; + markdown.forEach((text, index) => { + const cellRe = /(^|\n)---\n\n([\s\S]*?)(?=\n---\n\n([\s\S]*?)(?=\n---\n + + + +
        +
        +
        +

        Starter Dashboard

        +

        Metrics

        +

        Loading Trackio data.

        +
        +
        +
        +
        + +
        +
        +
        +

        Starter Dashboard

        +

        Traces

        +

        Recent traces for the selected runs.

        +
        +
        +
        + + + + + + + + + + + +
        Trace IDRequestRunStepRequest time
        +
        +
        + + + + + + + + diff --git a/trackio/frontend_templates/starter/styles.css b/trackio/frontend_templates/starter/styles.css new file mode 100644 index 0000000000000000000000000000000000000000..51058b424f66a5bacc736f1c7fbc9e4f0290dd74 --- /dev/null +++ b/trackio/frontend_templates/starter/styles.css @@ -0,0 +1,467 @@ +:root { + color-scheme: light; + --background-fill-primary: #ffffff; + --background-fill-secondary: #f9fafb; + --background-fill-tertiary: #f3f4f6; + --border-color-primary: #e5e7eb; + --border-color-accent: #d1d5db; + --body-text-color: #111827; + --body-text-color-subdued: #6b7280; + --body-text-color-soft: #9ca3af; + --accent: #1d4ed8; + --shadow-soft: 0 1px 2px rgba(16, 24, 40, 0.04); +} + +* { + box-sizing: border-box; +} + +html, +body { + margin: 0; + min-height: 100%; + background: var(--background-fill-secondary); + color: var(--body-text-color); + font-family: + ui-sans-serif, + system-ui, + -apple-system, + BlinkMacSystemFont, + "Segoe UI", + sans-serif; +} + +button, +input, +select, +table { + font: inherit; +} + +.app-shell { + display: grid; + grid-template-columns: 320px minmax(0, 1fr); + min-height: 100vh; +} + +.sidebar { + border-right: 1px solid var(--border-color-primary); + background: var(--background-fill-primary); +} + +.sidebar-scroll { + height: 100vh; + overflow-y: auto; + padding: 18px 16px 28px; +} + +.logo-section { + padding: 10px 10px 18px; + border-bottom: 1px solid var(--border-color-primary); +} + +.logo { + display: block; + width: 138px; + max-width: 100%; +} + +.sidebar-section { + padding: 18px 10px 0; +} + +.section-label, +.eyebrow { + margin: 0 0 10px; + color: var(--body-text-color-subdued); + font-size: 12px; + font-weight: 600; + letter-spacing: 0.08em; + text-transform: uppercase; +} + +.run-list { + display: grid; + gap: 8px; +} + +.dropdown-wrap { + position: relative; +} + +.project-select { + width: 100%; + padding: 10px 40px 10px 12px; + border: 1px solid var(--border-color-primary); + border-radius: 10px; + background: var(--background-fill-primary); + color: var(--body-text-color); + appearance: none; + -webkit-appearance: none; +} + +.project-select:focus { + outline: none; + border-color: var(--border-color-accent); + box-shadow: 0 0 0 3px rgba(29, 78, 216, 0.08); +} + +.dropdown-icon { + position: absolute; + top: 50%; + right: 12px; + transform: translateY(-50%); + color: var(--body-text-color-subdued); + pointer-events: none; +} + +.run-option { + display: grid; + grid-template-columns: 18px 10px minmax(0, 1fr); + gap: 10px; + align-items: start; + padding: 10px 12px; + border: 1px solid var(--border-color-primary); + border-radius: 10px; + background: var(--background-fill-primary); + cursor: pointer; +} + +.run-option input { + margin: 2px 0 0; + accent-color: var(--accent); +} + +.run-color-dot { + width: 10px; + height: 10px; + margin-top: 5px; + border-radius: 999px; + background: var(--accent); +} + +.run-option-text strong, +.run-option-text span { + display: block; +} + +.run-option-text strong { + color: var(--body-text-color); + font-size: 14px; + font-weight: 600; +} + +.run-option-text span, +.sidebar-note, +.sidebar-empty { + color: var(--body-text-color-subdued); + font-size: 13px; + line-height: 1.5; +} + +.main-shell { + display: flex; + flex-direction: column; + min-width: 0; +} + +.navbar { + display: flex; + align-items: stretch; + min-height: 44px; + border-bottom: 1px solid var(--border-color-primary); + background: var(--background-fill-primary); +} + +.nav-spacer { + flex: 1 1 0; +} + +.nav-tabs { + display: flex; + padding-right: 8px; +} + +.nav-link { + padding: 10px 16px; + border: none; + border-bottom: 2px solid transparent; + background: none; + color: var(--body-text-color-subdued); + cursor: pointer; +} + +.nav-link.active { + border-bottom-color: var(--body-text-color); + color: var(--body-text-color); + font-weight: 500; +} + +.page { + display: none; + min-width: 0; + padding: 24px 28px 36px; +} + +.page.active { + display: block; +} + +.page-header { + margin-bottom: 22px; +} + +.page-header h1 { + margin: 0; + font-size: 32px; + line-height: 1.1; +} + +.page-subtitle { + margin: 8px 0 0; + color: var(--body-text-color-subdued); + font-size: 15px; +} + +.metrics-grid { + display: grid; + gap: 18px; +} + +.metric-card { + padding: 18px; + border: 1px solid var(--border-color-primary); + border-radius: 14px; + background: var(--background-fill-primary); + box-shadow: var(--shadow-soft); +} + +.metric-card-head { + display: flex; + align-items: start; + justify-content: space-between; + gap: 16px; +} + +.metric-card h3 { + margin: 0; + font-size: 18px; +} + +.metric-run, +.metric-meta, +.metric-empty, +.metric-latest { + color: var(--body-text-color-subdued); + font-size: 13px; +} + +.metric-latest { + color: var(--body-text-color); + max-width: 50%; + font-size: 13px; + font-weight: 600; + text-align: right; +} + +.plot-shell { + margin-top: 14px; + padding: 10px 12px; + border: 1px solid var(--border-color-primary); + border-radius: 12px; + background: linear-gradient(180deg, #ffffff, #f9fafb); +} + +.plot-shell svg { + display: block; + width: 100%; + height: auto; +} + +.plot-axis { + stroke: var(--border-color-accent); + stroke-width: 1.2; +} + +.plot-line { + fill: none; + stroke-width: 2.25; + stroke-linecap: round; + stroke-linejoin: round; +} + +.plot-marker { + fill: var(--background-fill-primary); + stroke: var(--body-text-color); + stroke-width: 1.5; +} + +.metric-legend { + display: flex; + flex-wrap: wrap; + gap: 10px 14px; + margin-top: 12px; +} + +.metric-legend-item { + display: inline-flex; + align-items: center; + gap: 8px; + color: var(--body-text-color-subdued); + font-size: 13px; +} + +.metric-legend-dot { + width: 10px; + height: 10px; + border-radius: 999px; +} + +.traces-table-wrap { + overflow: auto; + border: 1px solid var(--border-color-primary); + border-radius: 14px; + background: var(--background-fill-primary); + box-shadow: var(--shadow-soft); +} + +.traces-table { + width: 100%; + border-collapse: collapse; +} + +.traces-table thead { + background: var(--background-fill-secondary); +} + +.traces-table th, +.traces-table td { + padding: 14px 16px; + border-bottom: 1px solid var(--border-color-primary); + text-align: left; + vertical-align: top; + font-size: 14px; +} + +.traces-table th { + color: var(--body-text-color-subdued); + font-size: 12px; + font-weight: 600; + letter-spacing: 0.04em; + text-transform: uppercase; +} + +.trace-summary-row { + cursor: pointer; +} + +.trace-summary-row:hover { + background: var(--background-fill-secondary); +} + +.trace-summary-row.expanded { + background: var(--background-fill-secondary); +} + +.trace-id { + color: var(--body-text-color); + font-family: + ui-monospace, + SFMono-Regular, + Menlo, + monospace; + font-size: 12px; +} + +.trace-request { + max-width: 520px; + color: var(--body-text-color); +} + +.trace-detail-row td { + padding: 0; + background: var(--background-fill-secondary); +} + +.trace-detail-shell { + padding: 18px 20px; + border-top: 1px solid var(--border-color-primary); +} + +.trace-detail-head strong { + display: block; + color: var(--body-text-color); + font-size: 14px; +} + +.trace-detail-meta { + margin-top: 4px; + color: var(--body-text-color-subdued); + font-size: 12px; +} + +.trace-message-list { + display: grid; + gap: 12px; + margin-top: 16px; +} + +.trace-message { + padding: 12px 14px; + border: 1px solid var(--border-color-primary); + border-radius: 12px; + background: var(--background-fill-primary); +} + +.trace-message-role { + margin-bottom: 8px; + color: var(--body-text-color-subdued); + font-size: 12px; + font-weight: 600; + letter-spacing: 0.04em; + text-transform: uppercase; +} + +.trace-message-text { + color: var(--body-text-color); + font-size: 14px; + line-height: 1.55; + white-space: pre-wrap; + overflow-wrap: anywhere; +} + +.trace-message-muted { + color: var(--body-text-color-subdued); +} + +.empty-row, +.empty-panel { + color: var(--body-text-color-subdued); + text-align: center; +} + +.empty-panel { + padding: 48px 20px; + border: 1px dashed var(--border-color-accent); + border-radius: 14px; + background: var(--background-fill-primary); +} + +@media (max-width: 960px) { + .app-shell { + grid-template-columns: 1fr; + } + + .sidebar { + border-right: none; + border-bottom: 1px solid var(--border-color-primary); + } + + .sidebar-scroll { + height: auto; + } + + .page { + padding: 18px; + } +} diff --git a/trackio/gpu.py b/trackio/gpu.py new file mode 100644 index 0000000000000000000000000000000000000000..a84d903884069e1133532629aa1c63d22c3c792a --- /dev/null +++ b/trackio/gpu.py @@ -0,0 +1,381 @@ +import os +import threading +import warnings +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from trackio.run import Run + +pynvml: Any = None +PYNVML_AVAILABLE = False +_nvml_initialized = False +_nvml_lock = threading.Lock() +_energy_baseline: dict[int, float] = {} + + +def _ensure_pynvml(): + global PYNVML_AVAILABLE, pynvml + if PYNVML_AVAILABLE: + return pynvml + try: + import pynvml as _pynvml + + pynvml = _pynvml + PYNVML_AVAILABLE = True + return pynvml + except ImportError: + raise ImportError( + "nvidia-ml-py is required for GPU monitoring. " + "Install it with: pip install nvidia-ml-py" + ) + + +def _init_nvml() -> bool: + global _nvml_initialized + with _nvml_lock: + if _nvml_initialized: + return True + try: + nvml = _ensure_pynvml() + nvml.nvmlInit() + _nvml_initialized = True + return True + except Exception: + return False + + +def get_gpu_count() -> tuple[int, list[int]]: + """ + Get the number of GPUs visible to this process and their physical indices. + Respects CUDA_VISIBLE_DEVICES environment variable. + + Returns: + Tuple of (count, physical_indices) where: + - count: Number of visible GPUs + - physical_indices: List mapping logical index to physical GPU index. + e.g., if CUDA_VISIBLE_DEVICES=2,3 returns (2, [2, 3]) + meaning logical GPU 0 = physical GPU 2, logical GPU 1 = physical GPU 3 + """ + if not _init_nvml(): + return 0, [] + + cuda_visible = os.environ.get("CUDA_VISIBLE_DEVICES") + if cuda_visible is not None and cuda_visible.strip(): + try: + indices = [int(x.strip()) for x in cuda_visible.split(",") if x.strip()] + return len(indices), indices + except ValueError: + pass + + try: + total = pynvml.nvmlDeviceGetCount() + return total, list(range(total)) + except Exception: + return 0, [] + + +def get_all_gpu_count() -> tuple[int, list[int]]: + """ + Get the total number of physical GPUs on the machine, ignoring CUDA_VISIBLE_DEVICES. + + Returns: + Tuple of (count, physical_indices) for ALL GPUs on the machine. + e.g., on a 4-GPU machine returns (4, [0, 1, 2, 3]) regardless of + CUDA_VISIBLE_DEVICES setting. + """ + if not _init_nvml(): + return 0, [] + + try: + total = pynvml.nvmlDeviceGetCount() + return total, list(range(total)) + except Exception: + return 0, [] + + +def gpu_available() -> bool: + """ + Check if GPU monitoring is available. + + Returns True if nvidia-ml-py is installed and at least one NVIDIA GPU is detected. + This is used for auto-detection of GPU logging. + """ + try: + _ensure_pynvml() + count, _ = get_gpu_count() + return count > 0 + except ImportError: + return False + except Exception: + return False + + +def reset_energy_baseline(): + """Reset the energy baseline for all GPUs. Called when a new run starts.""" + global _energy_baseline + _energy_baseline = {} + + +def collect_gpu_metrics(device: int | None = None, all_gpus: bool = False) -> dict: + """ + Collect GPU metrics for visible GPUs. + + Args: + device: CUDA device index to collect metrics from. If None, collects + from all GPUs visible to this process (respects CUDA_VISIBLE_DEVICES). + The device index is the logical CUDA index (0, 1, 2...), not the + physical GPU index. + all_gpus: If True and device is None, collect metrics for ALL physical GPUs + on the machine, ignoring CUDA_VISIBLE_DEVICES. Used by GpuMonitor + to report system-wide GPU metrics in distributed training. + + Returns: + Dictionary of GPU metrics. Keys use device indices (gpu/0/, gpu/1/, etc.). + """ + if not _init_nvml(): + return {} + + if all_gpus and device is None: + gpu_count, visible_gpus = get_all_gpu_count() + else: + gpu_count, visible_gpus = get_gpu_count() + if gpu_count == 0: + return {} + + if device is not None: + if device < 0 or device >= gpu_count: + return {} + gpu_indices = [(device, visible_gpus[device])] + else: + gpu_indices = list(enumerate(visible_gpus)) + + metrics = {} + total_util = 0.0 + total_mem_used_gib = 0.0 + total_power = 0.0 + max_temp = 0.0 + valid_util_count = 0 + + for logical_idx, physical_idx in gpu_indices: + prefix = f"gpu/{logical_idx}" + try: + handle = pynvml.nvmlDeviceGetHandleByIndex(physical_idx) + + try: + util = pynvml.nvmlDeviceGetUtilizationRates(handle) + metrics[f"{prefix}/utilization"] = util.gpu + metrics[f"{prefix}/memory_utilization"] = util.memory + total_util += util.gpu + valid_util_count += 1 + except Exception: + pass + + try: + mem = pynvml.nvmlDeviceGetMemoryInfo(handle) + mem_used_gib = mem.used / (1024**3) + mem_total_gib = mem.total / (1024**3) + metrics[f"{prefix}/allocated_memory"] = mem_used_gib + metrics[f"{prefix}/total_memory"] = mem_total_gib + if mem.total > 0: + metrics[f"{prefix}/memory_usage"] = mem.used / mem.total + total_mem_used_gib += mem_used_gib + except Exception: + pass + + try: + power_mw = pynvml.nvmlDeviceGetPowerUsage(handle) + power_w = power_mw / 1000.0 + metrics[f"{prefix}/power"] = power_w + total_power += power_w + except Exception: + pass + + try: + power_limit_mw = pynvml.nvmlDeviceGetPowerManagementLimit(handle) + power_limit_w = power_limit_mw / 1000.0 + metrics[f"{prefix}/power_limit"] = power_limit_w + if power_limit_w > 0 and f"{prefix}/power" in metrics: + metrics[f"{prefix}/power_percent"] = ( + metrics[f"{prefix}/power"] / power_limit_w + ) * 100 + except Exception: + pass + + try: + temp = pynvml.nvmlDeviceGetTemperature( + handle, pynvml.NVML_TEMPERATURE_GPU + ) + metrics[f"{prefix}/temp"] = temp + max_temp = max(max_temp, temp) + except Exception: + pass + + try: + sm_clock = pynvml.nvmlDeviceGetClockInfo(handle, pynvml.NVML_CLOCK_SM) + metrics[f"{prefix}/sm_clock"] = sm_clock + except Exception: + pass + + try: + mem_clock = pynvml.nvmlDeviceGetClockInfo(handle, pynvml.NVML_CLOCK_MEM) + metrics[f"{prefix}/memory_clock"] = mem_clock + except Exception: + pass + + try: + fan_speed = pynvml.nvmlDeviceGetFanSpeed(handle) + metrics[f"{prefix}/fan_speed"] = fan_speed + except Exception: + pass + + try: + pstate = pynvml.nvmlDeviceGetPerformanceState(handle) + metrics[f"{prefix}/performance_state"] = pstate + except Exception: + pass + + try: + energy_mj = pynvml.nvmlDeviceGetTotalEnergyConsumption(handle) + if physical_idx not in _energy_baseline: + _energy_baseline[physical_idx] = energy_mj + energy_consumed_mj = energy_mj - _energy_baseline[physical_idx] + metrics[f"{prefix}/energy_consumed"] = energy_consumed_mj / 1000.0 + except Exception: + pass + + try: + pcie_tx = pynvml.nvmlDeviceGetPcieThroughput( + handle, pynvml.NVML_PCIE_UTIL_TX_BYTES + ) + pcie_rx = pynvml.nvmlDeviceGetPcieThroughput( + handle, pynvml.NVML_PCIE_UTIL_RX_BYTES + ) + metrics[f"{prefix}/pcie_tx"] = pcie_tx / 1024.0 + metrics[f"{prefix}/pcie_rx"] = pcie_rx / 1024.0 + except Exception: + pass + + try: + throttle = pynvml.nvmlDeviceGetCurrentClocksThrottleReasons(handle) + metrics[f"{prefix}/throttle_thermal"] = int( + bool(throttle & pynvml.nvmlClocksThrottleReasonSwThermalSlowdown) + ) + metrics[f"{prefix}/throttle_power"] = int( + bool(throttle & pynvml.nvmlClocksThrottleReasonSwPowerCap) + ) + metrics[f"{prefix}/throttle_hw_slowdown"] = int( + bool(throttle & pynvml.nvmlClocksThrottleReasonHwSlowdown) + ) + metrics[f"{prefix}/throttle_apps"] = int( + bool( + throttle + & pynvml.nvmlClocksThrottleReasonApplicationsClocksSetting + ) + ) + except Exception: + pass + + try: + ecc_corrected = pynvml.nvmlDeviceGetTotalEccErrors( + handle, + pynvml.NVML_MEMORY_ERROR_TYPE_CORRECTED, + pynvml.NVML_VOLATILE_ECC, + ) + metrics[f"{prefix}/corrected_memory_errors"] = ecc_corrected + except Exception: + pass + + try: + ecc_uncorrected = pynvml.nvmlDeviceGetTotalEccErrors( + handle, + pynvml.NVML_MEMORY_ERROR_TYPE_UNCORRECTED, + pynvml.NVML_VOLATILE_ECC, + ) + metrics[f"{prefix}/uncorrected_memory_errors"] = ecc_uncorrected + except Exception: + pass + + except Exception: + continue + + if valid_util_count > 0: + metrics["gpu/mean_utilization"] = total_util / valid_util_count + if total_mem_used_gib > 0: + metrics["gpu/total_allocated_memory"] = total_mem_used_gib + if total_power > 0: + metrics["gpu/total_power"] = total_power + if max_temp > 0: + metrics["gpu/max_temp"] = max_temp + + return metrics + + +class GpuMonitor: + def __init__(self, run: "Run", interval: float = 10.0): + self._run = run + self._interval = interval + self._stop_flag = threading.Event() + self._thread: "threading.Thread | None" = None + + def start(self): + count, _ = get_all_gpu_count() + if count == 0: + warnings.warn( + "auto_log_gpu=True but no NVIDIA GPUs detected. GPU logging disabled." + ) + return + + reset_energy_baseline() + self._thread = threading.Thread(target=self._monitor_loop, daemon=True) + self._thread.start() + + def stop(self): + self._stop_flag.set() + if self._thread is not None: + self._thread.join(timeout=2.0) + + def _monitor_loop(self): + while not self._stop_flag.is_set(): + try: + metrics = collect_gpu_metrics(all_gpus=True) + if metrics: + self._run.log_system(metrics) + except Exception: + pass + + self._stop_flag.wait(timeout=self._interval) + + +def log_gpu(run: "Run | None" = None, device: int | None = None) -> dict: + """ + Log GPU metrics to the current or specified run as system metrics. + + Args: + run: Optional Run instance. If None, uses current run from context. + device: CUDA device index to collect metrics from. If None, collects + from all GPUs visible to this process (respects CUDA_VISIBLE_DEVICES). + + Returns: + dict: The GPU metrics that were logged. + + Example: + ```python + import trackio + + run = trackio.init(project="my-project") + trackio.log({"loss": 0.5}) + trackio.log_gpu() # logs all visible GPUs + trackio.log_gpu(device=0) # logs only CUDA device 0 + ``` + """ + from trackio import context_vars + + if run is None: + run = context_vars.current_run.get() + if run is None: + raise RuntimeError("Call trackio.init() before trackio.log_gpu().") + + metrics = collect_gpu_metrics(device=device) + if metrics: + run.log_system(metrics) + return metrics diff --git a/trackio/histogram.py b/trackio/histogram.py new file mode 100644 index 0000000000000000000000000000000000000000..1e00477907d55f7f5dcc1bf2bff05029d43b3ac1 --- /dev/null +++ b/trackio/histogram.py @@ -0,0 +1,71 @@ +from typing import Sequence + +import numpy as np + + +class Histogram: + """ + Histogram data type for Trackio, compatible with wandb.Histogram. + + Args: + sequence (`np.ndarray` or `Sequence[float]` or `Sequence[int]`, *optional*): + Sequence of values to create the histogram from. + np_histogram (`tuple`, *optional*): + Pre-computed NumPy histogram as a `(hist, bins)` tuple. + num_bins (`int`, *optional*, defaults to `64`): + Number of bins for the histogram (maximum `512`). + + Example: + ```python + import trackio + import numpy as np + + # Create histogram from sequence + data = np.random.randn(1000) + trackio.log({"distribution": trackio.Histogram(data)}) + + # Create histogram from numpy histogram + hist, bins = np.histogram(data, bins=30) + trackio.log({"distribution": trackio.Histogram(np_histogram=(hist, bins))}) + + # Specify custom number of bins + trackio.log({"distribution": trackio.Histogram(data, num_bins=50)}) + ``` + """ + + TYPE = "trackio.histogram" + + def __init__( + self, + sequence: np.ndarray | Sequence[float] | Sequence[int] | None = None, + np_histogram: tuple | None = None, + num_bins: int = 64, + ): + if sequence is None and np_histogram is None: + raise ValueError("Must provide either sequence or np_histogram") + + if sequence is not None and np_histogram is not None: + raise ValueError("Cannot provide both sequence and np_histogram") + + num_bins = min(num_bins, 512) + + if np_histogram is not None: + self.histogram, self.bins = np_histogram + self.histogram = np.asarray(self.histogram) + self.bins = np.asarray(self.bins) + else: + data = np.asarray(sequence).flatten() + data = data[np.isfinite(data)] + if len(data) == 0: + self.histogram = np.array([]) + self.bins = np.array([]) + else: + self.histogram, self.bins = np.histogram(data, bins=num_bins) + + def _to_dict(self) -> dict: + """Convert histogram to dictionary for storage.""" + return { + "_type": self.TYPE, + "bins": self.bins.tolist(), + "values": self.histogram.tolist(), + } diff --git a/trackio/imports.py b/trackio/imports.py new file mode 100644 index 0000000000000000000000000000000000000000..37516dbdc409b91f643ba3b0070c80379bb2252b --- /dev/null +++ b/trackio/imports.py @@ -0,0 +1,305 @@ +import csv +import os +from pathlib import Path + +from trackio import deploy, utils +from trackio.sqlite_storage import SQLiteStorage + + +def import_csv( + csv_path: str | Path, + project: str, + name: str | None = None, + space_id: str | None = None, + dataset_id: str | None = None, + private: bool | None = None, + force: bool = False, +) -> None: + """ + Imports a CSV file into a Trackio project. The CSV file must contain a `"step"` + column, may optionally contain a `"timestamp"` column, and any other columns will be + treated as metrics. It should also include a header row with the column names. + + TODO: call init() and return a Run object so that the user can continue to log metrics to it. + + Args: + csv_path (`str` or `Path`): + The str or Path to the CSV file to import. + project (`str`): + The name of the project to import the CSV file into. Must not be an existing + project. + name (`str`, *optional*): + The name of the Run to import the CSV file into. If not provided, a default + name will be generated. + name (`str`, *optional*): + The name of the run (if not provided, a default name will be generated). + space_id (`str`, *optional*): + If provided, the project will be logged to a Hugging Face Space instead of a + local directory. Should be a complete Space name like `"username/reponame"` + or `"orgname/reponame"`, or just `"reponame"` in which case the Space will + be created in the currently-logged-in Hugging Face user's namespace. If the + Space does not exist, it will be created. If the Space already exists, the + project will be logged to it. + dataset_id (`str`, *optional*): + Deprecated. Use `bucket_id` instead. + private (`bool`, *optional*): + Whether to make the Space private. If None (default), the repo will be + public unless the organization's default is private. This value is ignored + if the repo already exists. + """ + if SQLiteStorage.get_runs(project): + raise ValueError( + f"Project '{project}' already exists. Cannot import CSV into existing project." + ) + + csv_path = Path(csv_path) + if not csv_path.exists(): + raise FileNotFoundError(f"CSV file not found: {csv_path}") + + with csv_path.open(newline="", encoding="utf-8") as csv_file: + reader = csv.DictReader(csv_file) + source_columns = reader.fieldnames or [] + rows = list(reader) + + if not rows: + raise ValueError("CSV file is empty") + + column_mapping = utils.simplify_column_names(source_columns) + normalized_rows = [ + {column_mapping[key]: value for key, value in row.items()} for row in rows + ] + columns = list(normalized_rows[0].keys()) + + step_column = None + for col in columns: + if col.lower() == "step": + step_column = col + break + + if step_column is None: + raise ValueError("CSV file must contain a 'step' or 'Step' column") + + if name is None: + name = csv_path.stem + + metrics_list = [] + steps = [] + timestamps = [] + + numeric_columns = [] + for column in columns: + if column == step_column: + continue + if column == "timestamp": + continue + + try: + for row in normalized_rows: + value = row[column] + if value in ("", None): + continue + float(value) + except (ValueError, TypeError): + continue + numeric_columns.append(column) + + for row in normalized_rows: + metrics = {} + for column in numeric_columns: + value = row[column] + if value not in ("", None): + metrics[column] = float(value) + + if metrics: + metrics_list.append(metrics) + steps.append(int(float(row[step_column]))) + + if "timestamp" in row and row["timestamp"] not in ("", None): + timestamps.append(str(row["timestamp"])) + else: + timestamps.append("") + + if not metrics_list: + raise ValueError( + f"No numeric metric data found in CSV file: {csv_path}. Columns other " + "than 'step' and 'timestamp' must contain numeric values." + ) + + SQLiteStorage.bulk_log( + project=project, + run=name, + metrics_list=metrics_list, + steps=steps, + timestamps=timestamps, + ) + + print( + f"* Imported {len(metrics_list)} rows from {csv_path} into project '{project}' as run '{name}'" + ) + print(f"* Metrics found: {', '.join(metrics_list[0].keys())}") + + space_id, dataset_id, _ = utils.preprocess_space_and_dataset_ids( + space_id, dataset_id + ) + if dataset_id is not None: + os.environ["TRACKIO_DATASET_ID"] = dataset_id + print(f"* Trackio metrics will be synced to Hugging Face Dataset: {dataset_id}") + + if space_id is None: + utils.print_dashboard_instructions(project) + else: + deploy.create_space_if_not_exists( + space_id=space_id, dataset_id=dataset_id, private=private + ) + deploy.wait_until_space_exists(space_id=space_id) + deploy.upload_db_to_space(project=project, space_id=space_id, force=force) + print( + f"* View dashboard by going to: {deploy.SPACE_URL.format(space_id=space_id)}" + ) + + +def import_tf_events( + log_dir: str | Path, + project: str, + name: str | None = None, + space_id: str | None = None, + dataset_id: str | None = None, + private: bool | None = None, + force: bool = False, +) -> None: + """ + Imports TensorFlow Events files from a directory into a Trackio project. Each + subdirectory in the log directory will be imported as a separate run. + + Args: + log_dir (`str` or `Path`): + The str or Path to the directory containing TensorFlow Events files. + project (`str`): + The name of the project to import the TensorFlow Events files into. Must not + be an existing project. + name (`str`, *optional*): + The name prefix for runs (if not provided, will use directory names). Each + subdirectory will create a separate run. + space_id (`str`, *optional*): + If provided, the project will be logged to a Hugging Face Space instead of a + local directory. Should be a complete Space name like `"username/reponame"` + or `"orgname/reponame"`, or just `"reponame"` in which case the Space will + be created in the currently-logged-in Hugging Face user's namespace. If the + Space does not exist, it will be created. If the Space already exists, the + project will be logged to it. + dataset_id (`str`, *optional*): + Deprecated. Use `bucket_id` instead. + private (`bool`, *optional*): + Whether to make the Space private. If None (default), the repo will be + public unless the organization's default is private. This value is ignored + if the repo already exists. + """ + try: + from tbparse import SummaryReader + except ImportError: + raise ImportError( + "The `tbparse` package is not installed but is required for `import_tf_events`. Please install trackio with the `tensorboard` extra: `pip install trackio[tensorboard]`." + ) + + if SQLiteStorage.get_runs(project): + raise ValueError( + f"Project '{project}' already exists. Cannot import TF events into existing project." + ) + + path = Path(log_dir) + if not path.exists(): + raise FileNotFoundError(f"TF events directory not found: {path}") + + # Use tbparse to read all tfevents files in the directory structure + reader = SummaryReader(str(path), extra_columns={"dir_name"}) + df = reader.scalars + + if df.empty: + raise ValueError(f"No TensorFlow events data found in {path}") + + total_imported = 0 + imported_runs = [] + + # Group by dir_name to create separate runs + for dir_name, group_df in df.groupby("dir_name"): + try: + # Determine run name based on directory name + if dir_name == "": + run_name = "main" # For files in the root directory + else: + run_name = dir_name # Use directory name + + if name: + run_name = f"{name}_{run_name}" + + if group_df.empty: + print(f"* Skipping directory {dir_name}: no scalar data found") + continue + + metrics_list = [] + steps = [] + timestamps = [] + + for _, row in group_df.iterrows(): + # Convert row values to appropriate types + tag = str(row["tag"]) + value = float(row["value"]) + step = int(row["step"]) + + metrics = {tag: value} + metrics_list.append(metrics) + steps.append(step) + + # Use wall_time if present, else fallback + if "wall_time" in group_df.columns and not utils.is_missing_value( + row["wall_time"] + ): + timestamps.append(str(row["wall_time"])) + else: + timestamps.append("") + + if metrics_list: + SQLiteStorage.bulk_log( + project=project, + run=str(run_name), + metrics_list=metrics_list, + steps=steps, + timestamps=timestamps, + ) + + total_imported += len(metrics_list) + imported_runs.append(run_name) + + print( + f"* Imported {len(metrics_list)} scalar events from directory '{dir_name}' as run '{run_name}'" + ) + print(f"* Metrics in this run: {', '.join(set(group_df['tag']))}") + + except Exception as e: + print(f"* Error processing directory {dir_name}: {e}") + continue + + if not imported_runs: + raise ValueError("No valid TensorFlow events data could be imported") + + print(f"* Total imported events: {total_imported}") + print(f"* Created runs: {', '.join(imported_runs)}") + + space_id, dataset_id, _ = utils.preprocess_space_and_dataset_ids( + space_id, dataset_id + ) + if dataset_id is not None: + os.environ["TRACKIO_DATASET_ID"] = dataset_id + print(f"* Trackio metrics will be synced to Hugging Face Dataset: {dataset_id}") + + if space_id is None: + utils.print_dashboard_instructions(project) + else: + deploy.create_space_if_not_exists( + space_id, dataset_id=dataset_id, private=private + ) + deploy.wait_until_space_exists(space_id) + deploy.upload_db_to_space(project, space_id, force=force) + print( + f"* View dashboard by going to: {deploy.SPACE_URL.format(space_id=space_id)}" + ) diff --git a/trackio/launch.py b/trackio/launch.py new file mode 100644 index 0000000000000000000000000000000000000000..9fe4843dceb64c7c6ee74f95cbc22e5447a273c6 --- /dev/null +++ b/trackio/launch.py @@ -0,0 +1,202 @@ +from __future__ import annotations + +import os +import secrets +import socket +import threading +import time +import warnings +from pathlib import Path +from typing import Any + +import httpx +import uvicorn +from uvicorn.config import Config + +from trackio._vendor.gradio_exceptions import ChecksumMismatchError +from trackio._vendor.networking import normalize_share_url, setup_tunnel, url_ok +from trackio._vendor.tunneling import BINARY_PATH +from trackio.launch_utils import colab_check, is_hosted_notebook + +INITIAL_PORT_VALUE = int(os.getenv("GRADIO_SERVER_PORT", "7860")) +TRY_NUM_PORTS = int(os.getenv("GRADIO_NUM_PORTS", "100")) +LOCALHOST_NAME = os.getenv("GRADIO_SERVER_NAME", "127.0.0.1") + + +class _UvicornServer(uvicorn.Server): + def install_signal_handlers(self) -> None: + pass + + def run_in_thread(self) -> None: + self.thread = threading.Thread(target=self.run, daemon=True) + self.thread.start() + start = time.time() + while not self.started: + time.sleep(1e-3) + if time.time() - start > 60: + raise RuntimeError( + "Server failed to start. Please check that the port is available." + ) + + +def _bind_host(server_name: str) -> str: + if server_name.startswith("[") and server_name.endswith("]"): + return server_name[1:-1] + return server_name + + +def start_server( + app: Any, + server_name: str | None = None, + server_port: int | None = None, + ssl_keyfile: str | None = None, + ssl_certfile: str | None = None, + ssl_keyfile_password: str | None = None, +) -> tuple[str, int, str, _UvicornServer]: + server_name = server_name or LOCALHOST_NAME + url_host_name = "localhost" if server_name == "0.0.0.0" else server_name + + host = _bind_host(server_name) + + server_ports = ( + [server_port] + if server_port is not None + else range(INITIAL_PORT_VALUE, INITIAL_PORT_VALUE + TRY_NUM_PORTS) + ) + + port_used = None + server = None + for port in server_ports: + try: + socket_family = socket.AF_INET6 if ":" in host else socket.AF_INET + with socket.socket(socket_family, socket.SOCK_STREAM) as s: + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + s.bind((host, port)) + config = Config( + app=app, + port=port, + host=host, + log_level="warning", + ssl_keyfile=ssl_keyfile, + ssl_certfile=ssl_certfile, + ssl_keyfile_password=ssl_keyfile_password, + ) + server = _UvicornServer(config=config) + server.run_in_thread() + port_used = port + break + except (OSError, RuntimeError): + continue + else: + raise OSError( + f"Cannot find empty port in range: {min(server_ports)}-{max(server_ports)}. " + "Set GRADIO_SERVER_PORT or pass server_port to trackio.show()." + ) + + assert port_used is not None and server is not None + + if ssl_keyfile is not None: + path_to_local_server = f"https://{url_host_name}:{port_used}/" + else: + path_to_local_server = f"http://{url_host_name}:{port_used}/" + + return server_name, port_used, path_to_local_server, server + + +def launch_trackio_dashboard( + starlette_app: Any, + *, + server_name: str | None = None, + server_port: int | None = None, + share: bool | None = None, + share_server_address: str | None = None, + share_server_protocol: str | None = None, + share_server_tls_certificate: str | None = None, + mcp_server: bool = False, + ssl_verify: bool = True, + quiet: bool = False, +) -> tuple[str | None, str | None, str | None, Any]: + is_colab = colab_check() + is_hosted_nb = is_hosted_notebook() + space_id = os.getenv("SPACE_ID") + + if share is None: + if is_colab or is_hosted_nb: + if not quiet: + print( + "It looks like you are running Trackio on a hosted Jupyter notebook, which requires " + "`share=True`. Automatically setting `share=True` " + "(set `share=False` in `show()` to disable).\n" + ) + share = True + else: + share = os.getenv("GRADIO_SHARE", "").lower() == "true" + + sn = server_name + if sn is None and os.getenv("SYSTEM") == "spaces": + sn = "0.0.0.0" + elif sn is None: + sn = LOCALHOST_NAME + + server_name_r, server_port_r, local_url, uv_server = start_server( + starlette_app, + server_name=sn, + server_port=server_port, + ) + + local_api_url = f"{local_url.rstrip('/')}/api/" + try: + httpx.get(f"{local_url.rstrip('/')}/version", verify=ssl_verify, timeout=10) + except Exception as e: + raise RuntimeError( + f"Could not reach Trackio server at {local_url.rstrip('/')}/version: {e}" + ) from e + + if share and space_id: + warnings.warn("Setting share=True is not supported on Hugging Face Spaces") + share = False + + share_url: str | None = None + if share: + try: + share_tok = secrets.token_urlsafe(32) + proto = share_server_protocol or ( + "http" if share_server_address is not None else "https" + ) + raw = setup_tunnel( + local_host=server_name_r, + local_port=server_port_r, + share_token=share_tok, + share_server_address=share_server_address, + share_server_tls_certificate=share_server_tls_certificate, + ) + share_url = normalize_share_url(raw, proto) + if not quiet: + print(f"* Running on public URL: {share_url}") + print( + "\nThis share link expires in 1 week. For permanent hosting, deploy to Hugging Face Spaces." + ) + except Exception as e: + share_url = None + if not quiet: + if isinstance(e, ChecksumMismatchError): + print( + "\nCould not create share link. Checksum mismatch for frpc binary." + ) + elif Path(BINARY_PATH).exists(): + print( + "\nCould not create share link. Check your internet connection or https://status.gradio.app." + ) + else: + print( + f"\nCould not create share link. Missing frpc at {BINARY_PATH}. {e}" + ) + + if not share_url and not quiet: + print("* To create a public link, set `share=True` in `trackio.show()`.") + + return local_url, share_url, local_api_url, uv_server + + +def url_ok_local(local_url: str) -> bool: + return url_ok(local_url) diff --git a/trackio/launch_utils.py b/trackio/launch_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..4215f7564472ad42441be63ecec13d5d385a20fb --- /dev/null +++ b/trackio/launch_utils.py @@ -0,0 +1,33 @@ +import os + + +def colab_check() -> bool: + is_colab = False + try: + from IPython.core.getipython import get_ipython # noqa: PLC0415 + + from_ipynb = get_ipython() + if "google.colab" in str(from_ipynb): + is_colab = True + except (ImportError, NameError): + pass + return is_colab + + +def is_hosted_notebook() -> bool: + return bool( + os.environ.get("KAGGLE_KERNEL_RUN_TYPE") + or os.path.exists("/home/ec2-user/SageMaker") + ) + + +def ipython_check() -> bool: + is_ipython = False + try: + from IPython.core.getipython import get_ipython # noqa: PLC0415 + + if get_ipython() is not None: + is_ipython = True + except (ImportError, NameError): + pass + return is_ipython diff --git a/trackio/logbook.py b/trackio/logbook.py new file mode 100644 index 0000000000000000000000000000000000000000..b5c74547e7e3993c79112ffbf17d3e5e647dfe26 --- /dev/null +++ b/trackio/logbook.py @@ -0,0 +1,2189 @@ +from __future__ import annotations + +import base64 +import html +import json +import os +import re +import shlex +import shutil +import subprocess +import sys +import time +import uuid +from datetime import datetime, timezone +from pathlib import Path + +PROJECT_DIR_NAME = ".trackio" +LOGBOOK_SUBDIR = "logbook" +METADATA_FILE = "metadata.json" +SCHEMA_VERSION = 1 +ROOT_SLUG = "index" +VIEWER_DIR = Path(__file__).parent / "frontend_templates" / "logbook" +VIEWER_FILES = [ + "index.html", + "logbook.css", + "logbook.js", + "trackio-logo.png", + "trackio-logo-light.png", + "trackio-wordmark-dark.png", + "bucket-icon.svg", +] + +TOC_HEADING = "## Pages" +TOC_HEADER = "| Page |" +TOC_SEP = "| --- |" +TOC_PLACEHOLDER_TOKENS = ("logbook note", "logbook cell markdown", "logbook page") +STATUS_COL_RE = re.compile(r"\b(status|state)\b", re.I) +LINK_COL_RE = re.compile(r"\b(page|experiment|name|title)\b", re.I) +CELL_TYPES = {"markdown", "code", "figure", "artifact", "dashboard"} +ARTIFACT_URI_PREFIX = "trackio-artifact://" +PATH_ARTIFACT_URI_PREFIX = "trackio-local-path://" +LOCAL_DASHBOARD_PREFIX = "trackio-local-dashboard://" +SPACE_URL_RE = re.compile(r"https://huggingface\.co/spaces/[^\s<>)\"'`]+") +BUCKET_URL_RE = re.compile(r"https://huggingface\.co/buckets/[^\s<>)\"'`]+") +DEFAULT_HEAD = 3 +DEFAULT_TAIL = 3 +DEFAULT_RAW_LIMIT = 500 +FENCE_RE = re.compile(r"(`{3,4}|~{3,4})([^\n]*)\n([\s\S]*?)\n\1") +RUN_OUTPUT_LIMIT = 20_000 +RUN_OUTPUT_HEAD = 2_000 +RUN_OUTPUT_TAIL = RUN_OUTPUT_LIMIT - RUN_OUTPUT_HEAD +TRY_NUM_PORTS = int(os.getenv("GRADIO_NUM_PORTS", "100")) +CELL_RE = re.compile( + r"(^|\n)---\n\n([\s\S]*?)(?=\n---\n" + ) + return f"{m.group(1)}---\n{marker}\n{m.group(3)}" + + new_text = CELL_RE.sub(_repl, text) + if state["hit"]: + path.write_text(new_text, encoding="utf-8") + write_site_files(proj) + return { + "page": node["slug"], + "page_title": node["title"], + "title": state["title"], + "pinned": pinned, + } + raise LogbookError(f"No cell with id '{cell_id}' in this logbook.") + + +# ---- auto-note (called from trackio.finish / log_artifact) ---- + + +def _autonote_enabled() -> bool: + return os.environ.get("TRACKIO_LOGBOOK_AUTONOTE", "1").lower() not in ( + "0", + "false", + "no", + "off", + ) + + +def _new_cell_id() -> str: + return f"cell_{uuid.uuid4().hex[:12]}" + + +def _cell_marker(cell_type: str, title: str | None = None, **metadata) -> str: + if cell_type not in CELL_TYPES: + raise LogbookError(f"Unsupported logbook cell type: {cell_type}") + title = (title or "").strip() or "Untitled" + payload = { + "type": cell_type, + "id": metadata.pop("id", _new_cell_id()), + "created_at": metadata.pop("created_at", _now_iso()), + "title": title, + } + payload.update({k: v for k, v in metadata.items() if v not in (None, "", [])}) + return "" + + +def _shorten(text: str, limit: int = 80) -> str: + text = re.sub(r"\s+", " ", text).strip() + if len(text) <= limit: + return text + return text[: limit - 1].rstrip() + "…" + + +def _strip_markdown_title(text: str) -> str: + text = re.sub(r"!\[([^\]]*)\]\([^)]+\)", r"\1", text) + text = re.sub(r"\[([^\]]+)\]\([^)]+\)", r"\1", text) + text = re.sub(r"[*_`>#]+", "", text) + return text.strip(" -:\t") + + +def _default_cell_title(cell_type: str, body: str, metadata: dict) -> str: + command = metadata.get("command") + if command: + try: + return _shorten(f"Run: {shlex.join(command)}") + except TypeError: + return "Run" + if cell_type == "code": + titled = re.search(r"^````\w*\s+title=([^\n]+)", body, re.M) + if titled: + return _shorten(f"Code: {titled.group(1).strip()}") + return "Code cell" + if cell_type == "figure": + return "Figure" + for line in body.splitlines(): + line = line.strip() + if not line or line.startswith("````") or line.startswith("