diff --git a/.claude/agents/docs-sync-reviewer.md b/.claude/agents/docs-sync-reviewer.md index 7e428de0dd296e1f02a951edffd6c350e531f043..e867c30338e8f01b4eea25b92ff409da7e4b9e3b 100644 --- a/.claude/agents/docs-sync-reviewer.md +++ b/.claude/agents/docs-sync-reviewer.md @@ -1,6 +1,6 @@ --- name: docs-sync-reviewer -description: Keeps documentation truthful after code changes — README, CHANGELOG, DECISIONS, spec status, and design-doc references. Use after completing a feature or making any architecture-relevant choice. +description: Keeps documentation truthful after code changes - README, CHANGELOG, DECISIONS, spec status, and design-doc references. Use after completing a feature or making any architecture-relevant choice. tools: Read, Grep, Glob model: haiku --- @@ -9,13 +9,13 @@ You are the documentation-sync reviewer for the CCR Platform. Docs that lie are no docs; a future lab member must be able to trust every README sentence. After a change, check: -1. **README.md** — do quickstart commands still work as written? Are new features/flags mentioned? -2. **CHANGELOG.md** — is there an entry for user-visible changes (Keep-a-Changelog style)? -3. **DECISIONS.md** — was any architecture/infrastructure/vendor/model choice made without an +1. **README.md** - do quickstart commands still work as written? Are new features/flags mentioned? +2. **CHANGELOG.md** - is there an entry for user-visible changes (Keep-a-Changelog style)? +3. **DECISIONS.md** - was any architecture/infrastructure/vendor/model choice made without an entry (date, decision, why, rejected alternative)? CLAUDE.md hard rule. -4. **docs/specs/** — does the implemented behavior match the spec? Mark spec status +4. **docs/specs/** - does the implemented behavior match the spec? Mark spec status (draft → implemented) and note deviations in the spec file itself. -5. **CLAUDE.md** — are commands, layout, and phase state still accurate? +5. **CLAUDE.md** - are commands, layout, and phase state still accurate? Return a short list of exact edits needed (file + suggested text), or "docs are in sync." -Do not rewrite documents wholesale — smallest truthful diff. +Do not rewrite documents wholesale - smallest truthful diff. diff --git a/.claude/agents/research-validity-reviewer.md b/.claude/agents/research-validity-reviewer.md index efd030057e77db23ad508f895c75b3e38b3f8b76..9701fb34d23e04cfd5a29fbc8744277ca973e522 100644 --- a/.claude/agents/research-validity-reviewer.md +++ b/.claude/agents/research-validity-reviewer.md @@ -1,6 +1,6 @@ --- name: research-validity-reviewer -description: Reviews changes for research-validity risks — hidden preprocessing changes, missing model/construct metadata, unsupported language assumptions, reverse-scoring mishandling, overconfident user-facing claims, reproducibility gaps. Use proactively after changes to the CCR engine, scoring, warnings, exports, or the model/construct registries. +description: Reviews changes for research-validity risks - hidden preprocessing changes, missing model/construct metadata, unsupported language assumptions, reverse-scoring mishandling, overconfident user-facing claims, reproducibility gaps. Use proactively after changes to the CCR engine, scoring, warnings, exports, or the model/construct registries. tools: Read, Grep, Glob, Bash model: inherit --- @@ -11,28 +11,28 @@ honesty: transparent warnings, reproducible runs, and never overstating what CCR Review the changes you are pointed at for: -1. **Preprocessing drift** — any change to text normalization, deduplication, truncation, or +1. **Preprocessing drift** - any change to text normalization, deduplication, truncation, or row filtering that isn't reflected in run metadata AND documented. Silent preprocessing changes invalidate cross-run comparisons. -2. **Metadata completeness** — every run must record: model id + pinned revision + usage_config, +2. **Metadata completeness** - every run must record: model id + pinned revision + usage_config, construct snapshot + version + item_hash, language selection + detection summary, preprocessing config, scoring.adjustment_strategy, output_schema_version, warnings. -3. **Registry bypasses** — model-specific behavior (prefixes, normalization, max length, +3. **Registry bypasses** - model-specific behavior (prefixes, normalization, max length, language support) hardcoded anywhere outside packages/model_registry. E5-family models without "query: " prefix handling is a correctness bug. -4. **Reverse scoring** — any code that adjusts/negates reversed-item similarities beyond the +4. **Reverse scoring** - any code that adjusts/negates reversed-item similarities beyond the recorded adjustment_strategy, or aggregates that silently include/exclude reversed items. V1 policy: raw + flags; exclude_reversed only when explicit; all-reversed must block. -5. **Language assumptions** — English-only logic applied to multilingual paths; warnings +5. **Language assumptions** - English-only logic applied to multilingual paths; warnings removed or softened; supported-language checks bypassed. -6. **Overconfident claims** — UI/exports/docs text implying CCR measures stance, diagnoses, +6. **Overconfident claims** - UI/exports/docs text implying CCR measures stance, diagnoses, or "accuracy"; missing the relatedness-vs-stance caveat where results are presented. -7. **Reproducibility** — generated scripts that would not run offline (platform credentials, +7. **Reproducibility** - generated scripts that would not run offline (platform credentials, unpinned versions, missing prefix logic); golden/expected outputs edited without approval. Return exactly three sections: -1. **Blocking issues** — must fix before merge (cite file:line). -2. **Non-blocking concerns** — should fix soon. -3. **Suggested fixes** — concrete, smallest-diff suggestions. +1. **Blocking issues** - must fix before merge (cite file:line). +2. **Non-blocking concerns** - should fix soon. +3. **Suggested fixes** - concrete, smallest-diff suggestions. -Be specific and cite evidence. If you find nothing, say so plainly — do not invent findings. +Be specific and cite evidence. If you find nothing, say so plainly - do not invent findings. diff --git a/.claude/agents/test-parity-reviewer.md b/.claude/agents/test-parity-reviewer.md index b3100c6ea61fc6f57ac84320462bdc1701b4a63c..68682ca80de6a2d1210722dcb0d41244e91011ae 100644 --- a/.claude/agents/test-parity-reviewer.md +++ b/.claude/agents/test-parity-reviewer.md @@ -10,7 +10,7 @@ You are the test & parity reviewer for the CCR Platform. Ground rules you enforce: - The published `ccr_wrapper` implementation is the correctness spec. Changes to similarity, scoring, or preprocessing must keep (or add) parity coverage within float tolerance (atol), - with pinned model revisions on both paths — never compare against a moving reference. + with pinned model revisions on both paths - never compare against a moving reference. - Golden evals exist to catch silent drift: output shape, column names/order, metadata fields, and warning behavior. `evals/expected_outputs/` is human-approved only. - New behavior without tests in the same change is incomplete work, not a follow-up. @@ -26,5 +26,5 @@ When reviewing, check: 4. Run the relevant test commands (cd backend && python -m pytest tests/ -q) and report results. Return: (1) coverage gaps with proposed test names, (2) any weakened assertions, -(3) parity/golden risks, (4) test run results. Write new tests when asked — smallest +(3) parity/golden risks, (4) test run results. Write new tests when asked - smallest useful tests, placed beside existing suites, using existing fixtures. diff --git a/.claude/commands/implement-spec.md b/.claude/commands/implement-spec.md index 8716295a29bb5de5bf15aab032a0a604fa5d3387..530c5172441b94078b7a43c355631b147b7e6c63 100644 --- a/.claude/commands/implement-spec.md +++ b/.claude/commands/implement-spec.md @@ -11,5 +11,5 @@ Follow this loop strictly (CLAUDE.md workflow): 2. Restate the contract in 3 bullets: inputs, outputs/columns, warnings/edge cases. Flag anything the spec leaves undefined BEFORE coding. 3. Propose an implementation plan: files to change, tests to add, smallest viable diff. Wait for approval if the plan touches architecture rules. 4. Implement in small increments. Add/update tests in the same change. -5. Run: cd backend && python -m pytest tests/ -q — plus registry validators if registries changed. +5. Run: cd backend && python -m pytest tests/ -q - plus registry validators if registries changed. 6. Summarize: changed files, test results, deviations from spec (update the spec's status/notes section), CHANGELOG entry, and whether a DECISIONS.md entry is needed. diff --git a/.claude/commands/review-scoring-contract.md b/.claude/commands/review-scoring-contract.md index 5842678ec49b10cd93ff95e693777ac2334bc043..19d730adda8816431ef6d50f41ef22535fc7255e 100644 --- a/.claude/commands/review-scoring-contract.md +++ b/.claude/commands/review-scoring-contract.md @@ -1,5 +1,5 @@ --- -description: Audit scoring/output contract — columns, adjustment_strategy, all-reversed block, metadata completeness +description: Audit scoring/output contract - columns, adjustment_strategy, all-reversed block, metadata completeness --- Audit the current scoring and output contract end to end: diff --git a/.claude/hooks/protect-golden.sh b/.claude/hooks/protect-golden.sh index 302ad23dc9b9b5ebe16babc1b1ff57c113b3f179..22afea4a1a5785df43ac82fb32b238a5b4b47956 100755 --- a/.claude/hooks/protect-golden.sh +++ b/.claude/hooks/protect-golden.sh @@ -8,7 +8,7 @@ file_path="$(printf '%s' "$input" | python3 -c 'import sys,json; d=json.load(sys case "$file_path" in *"evals/expected_outputs/"*) - echo "BLOCKED: $file_path is a golden expected output. Golden files change only via explicit human approval — ask Deva to update it manually or approve a regeneration script." >&2 + echo "BLOCKED: $file_path is a golden expected output. Golden files change only via explicit human approval - ask Deva to update it manually or approve a regeneration script." >&2 exit 2 ;; *"backend/data/"*) diff --git a/.claude/hooks/py-syntax-check.sh b/.claude/hooks/py-syntax-check.sh index 566a272d6e946821077a94246de4f7f4d1effd7d..768d8b70ffbe962206f3e5df67c6cdf0d12ee12e 100755 --- a/.claude/hooks/py-syntax-check.sh +++ b/.claude/hooks/py-syntax-check.sh @@ -12,4 +12,14 @@ if [[ "$file_path" == *.py && -f "$file_path" ]]; then exit 2 fi fi + +# Project style rule: no em dashes in any source/text file (CLAUDE.md hard rules). +case "$file_path" in + *.py|*.js|*.jsx|*.css|*.md|*.yaml|*.yml|*.sh|*.html) + if [[ -f "$file_path" ]] && grep -q $'\xe2\x80\x94' "$file_path"; then + echo "EM DASH found in $file_path. Project rule: no em dashes - use a hyphen or restructure the sentence." >&2 + exit 2 + fi + ;; +esac exit 0 diff --git a/.claude/rules/frontend.md b/.claude/rules/frontend.md index beca426ac50a258feb28947c1859d93b500e8f4c..d6eecf0e04c2cdf13181cdef79942bd3df0f5559 100644 --- a/.claude/rules/frontend.md +++ b/.claude/rules/frontend.md @@ -7,10 +7,10 @@ paths: # Frontend rules -- Current stack: React 18 + Vite, JavaScript (TypeScript arrives in Phase 2 cleanup — do not introduce it piecemeal now). -- All server communication through frontend/src/api.js — no fetch calls inside components. +- Current stack: React 18 + Vite, JavaScript (TypeScript arrives in Phase 2 cleanup - do not introduce it piecemeal now). +- All server communication through frontend/src/api.js - no fetch calls inside components. - The UI never computes analysis values; it renders what the API returns. If a number needs computing, it belongs in the backend. - Warnings from the API are always rendered (amber panel); never drop or reword warning text in the UI. - Accessibility floor (design §19): label every input, keyboard-navigable controls, no color-only signals, charts need an accessible alternative. - Keep the dependency count minimal (currently react + react-dom only); adding a UI library requires a DECISIONS.md entry. -- After frontend changes that should ship: npm run build (outputs to backend/static/) — the API serves the built SPA. +- After frontend changes that should ship: npm run build (outputs to backend/static/) - the API serves the built SPA. diff --git a/.claude/rules/python-backend.md b/.claude/rules/python-backend.md index 79ec3688af5ebd9ad733bc44700c302188e8c8bf..ca9817185218f6b35fdd489b36eaaab3ed67b839 100644 --- a/.claude/rules/python-backend.md +++ b/.claude/rules/python-backend.md @@ -8,7 +8,7 @@ paths: - Python 3.10+; type hints on public functions; docstrings explain WHY, not what. - FastAPI: request/response shapes via Pydantic schemas; HTTPException with clear user-facing detail strings; validation errors are 400s, missing resources 404s, state conflicts 409s. -- All embedding/normalization/similarity math stays in the engine module — API handlers orchestrate, never compute. +- All embedding/normalization/similarity math stays in the engine module - API handlers orchestrate, never compute. - Every user-facing failure path returns an actionable message (what happened + what to do), never a stack trace. - Tests: pytest; use the deterministic fake embedder (model "fake-deterministic" / CCR_FAKE_EMBEDDINGS=1); no torch imports in the default suite; poll async jobs with a timeout helper, never sleep-and-hope. - Warnings are structured objects with UPPER_SNAKE codes (design §12), never bare strings. diff --git a/.claude/rules/registries.md b/.claude/rules/registries.md index a318c76c4d8206cd15a9582a5460d9eea56dc148..46a928f2cc5c0292cd8e857888512860b2912b6b 100644 --- a/.claude/rules/registries.md +++ b/.claude/rules/registries.md @@ -7,9 +7,9 @@ paths: # Registry & construct library rules - models.yaml is the single source of model truth: id, provider_model_id, pinned revision, supported_languages OR supported_language_set, embedding_dimension, max_seq_length, usage_config (requires_prefix, prefix strings, normalize_embeddings), tiers, operational_config, user-facing warnings. -- The `pooling` field is DESCRIPTIVE only — models load via their own sentence-transformers config; never reimplement pooling. +- The `pooling` field is DESCRIPTIVE only - models load via their own sentence-transformers config; never reimplement pooling. - E5-family entries must set requires_prefix: true with "query: " on BOTH items and texts. -- supported_language_set values (e.g., xlm_roberta_100) must resolve to real ISO codes in language_sets.py — a bare "multilingual" label is banned. +- supported_language_set values (e.g., xlm_roberta_100) must resolve to real ISO codes in language_sets.py - a bare "multilingual" label is banned. - Constructs are versioned append-only YAML: editing items/wording/flags creates a NEW version with a new item_hash; never mutate an existing version in place. - Every construct carries: name, version, language, items (text + reverse_scored), citation, verification_status (draft|needs_verification|verified|archived). Item wordings must be flagged until verified verbatim against the original publication. - After any change here, run both validators before considering the change done. diff --git a/.env.example b/.env.example index ac6592ca30596bb3062155004f52de0fa544392d..cb470d32f27958cb8857b95f681d372297aa7402 100644 --- a/.env.example +++ b/.env.example @@ -6,7 +6,7 @@ # Row ceiling for uploads (default 100000; hosted demo uses 20000) # CCR_MAX_ROWS=20000 -# Force the deterministic fake embedder (tests/CI only — never production) +# Force the deterministic fake embedder (tests/CI only - never production) # CCR_FAKE_EMBEDDINGS=1 # ---- Phase 2 (not read yet; reserved names) ---- diff --git a/.gitignore b/.gitignore index 68cbe40846ba13a5c641eeabe90af84fba28493a..40579bd818abccf07eb8fecae90c028dc57733bd 100644 --- a/.gitignore +++ b/.gitignore @@ -4,7 +4,7 @@ __pycache__/ .venv/ .pytest_cache/ -# runtime data (DB, uploaded corpora, results) — never commit research data +# runtime data (DB, uploaded corpora, results) - never commit research data backend/data/ # node diff --git a/CHANGELOG.md b/CHANGELOG.md index ec75e0ee2cc469b1bb56768ee2e1e13f19e99f11..684b710addf43b51a08076f53d267985eed62435 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,6 +4,21 @@ Format: [Keep a Changelog](https://keepachangelog.com/). User-visible changes on ## [Unreleased] +### Added +- Anonymous vs signed-in upload tiers: anonymous uploads capped at 2 MB / 500 rows with a + clear sign-in hint; signing in lifts limits. Sign-in is a labeled placeholder (name only) + until managed auth arrives with lab accounts; tampered sessions are treated as anonymous. +- Project lifecycle: archive/unarchive (reversible, collapses into an Archived sidebar + group) and permanent delete with type-the-name confirmation. Delete cascades to datasets, + runs, uploaded files, and result files, and is logged without retaining any text. + +### Changed +- Project-wide style rule: no em dashes in any project text (enforced by an edit hook). + +### Fixed +- Job worker survives lifespan restarts (dev reload previously killed job submission + permanently). + ### Fixed - Project sidebar redesigned for growing lists: always-visible search, recency groups (Today / This week / Earlier), per-project run count + relative last-activity time, @@ -19,7 +34,7 @@ Format: [Keep a Changelog](https://keepachangelog.com/). User-visible changes on results dashboard with descriptive stats + per-item loadings + top/bottom texts, data-quality warnings, CSV export mirroring ccr_wrapper shape, reproducibility metadata). - Model registry (packages/model_registry) and versioned construct library - (packages/construct_library) with validators — not yet wired into the app (specs 0003/0004). + (packages/construct_library) with validators - not yet wired into the app (specs 0003/0004). - Claude Code project config: CLAUDE.md, path-scoped rules, 3 review agents, 4 commands, golden-file protection + Python syntax hooks. @@ -30,8 +45,8 @@ Format: [Keep a Changelog](https://keepachangelog.com/). User-visible changes on warnings for language mismatch, uncertain detection, and model/language coverage (multilingual model checked against its real ISO language set). (spec 0001/0003) - Very-short-text warning (< 4 words) with affected-row samples. (spec 0001) -- Downloadable Python reproduction script per run — offline-runnable, embeds construct - items, model revision, and E5 prefix logic — plus pinned requirements file. (spec 0002) +- Downloadable Python reproduction script per run - offline-runnable, embeds construct + items, model revision, and E5 prefix logic - plus pinned requirements file. (spec 0002) - Model registry drives the model dropdown, validation, prefixes, and metadata: MiniLM (default), E5-Large-v2, Multilingual-E5-base. (spec 0003) - Construct library loaded from versioned YAML files with item hashes, citations, and @@ -40,9 +55,9 @@ Format: [Keep a Changelog](https://keepachangelog.com/). User-visible changes on block, construct snapshot, model revision, environment pins. ### Changed -- All warnings are structured objects (code/severity/message/count/rows) — UI renders codes. +- All warnings are structured objects (code/severity/message/count/rows) - UI renders codes. - /api/models response shape changed (registry ids like "all-minilm-l6-v2" replace provider ids). -- Delimiter detection restricted to real candidates (, ; tab |) — fixes single-column +- Delimiter detection restricted to real candidates (, ; tab |) - fixes single-column sentence CSVs being split on spaces. ### Removed diff --git a/CLAUDE.md b/CLAUDE.md index ee951d4b18c7eeccbb915716d5c4daa5bcf723b2..46d0d98590e16c64a3026f548a66ee683e8ec533 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -10,20 +10,20 @@ Current state: Phase 0 (visible features on the demo codebase). Roadmap: @ROADMA ## Commands -- Backend tests: `cd backend && python -m pytest tests/ -q` (fast — fake embedder, no torch needed) +- Backend tests: `cd backend && python -m pytest tests/ -q` (fast - fake embedder, no torch needed) - Run app locally: `./run.sh` → http://127.0.0.1:8000 - Frontend build: `cd frontend && npm install && npm run build` (outputs to backend/static/) - Frontend dev: `cd frontend && npm run dev` (proxies /api to :8000) - Validate registries: `python packages/model_registry/validate_models.py && python packages/construct_library/validate_constructs.py` - Real-model smoke test: `python scripts/verify_install.py` (downloads MiniLM once) -## Architecture rules (from design §15 — non-negotiable) +## Architecture rules (from design §15 - non-negotiable) - Analysis/NLP logic lives ONLY in the engine (today `backend/app/ccr.py`; Phase 1 extracts it to `packages/ccr_engine/`). Never in UI components or API route handlers. - ALL model-specific behavior (prefixes, normalization, dims, max length, language support) goes through `packages/model_registry/models.yaml`. No hardcoded model behavior anywhere. -- Predefined constructs live ONLY in `packages/construct_library/constructs/*.yaml` — versioned, append-only; edits create new versions. (Migration from `backend/app/seed_constructs.py` is a Phase 0 task.) +- Predefined constructs live ONLY in `packages/construct_library/constructs/*.yaml` - versioned, append-only; edits create new versions. (Migration from `backend/app/seed_constructs.py` is a Phase 0 task.) - Every analysis run must produce metadata + a reproduction script (design §14). Exports mirror `ccr_wrapper` output shape. -- MiniLM (all-MiniLM-L6-v2) is the default model — it is the CCR reference model. E5-family models REQUIRE the "query: " prefix on both items and texts. +- MiniLM (all-MiniLM-L6-v2) is the default model - it is the CCR reference model. E5-family models REQUIRE the "query: " prefix on both items and texts. - The published `ccr_wrapper` implementation is the correctness spec (parity tests, design §16). ## Hard rules @@ -31,10 +31,11 @@ Current state: Phase 0 (visible features on the demo codebase). Roadmap: @ROADMA - Never silently change output column names (bump output_schema_version in metadata instead). - Never remove or weaken warnings to make tests pass. - Never log uploaded text content. -- Never edit files under `evals/expected_outputs/` — golden outputs change only via explicit human approval (enforced by a PreToolUse hook). +- Never edit files under `evals/expected_outputs/` - golden outputs change only via explicit human approval (enforced by a PreToolUse hook). - No new infrastructure (Redis, GPU, new vendors, new services) without a DECISIONS.md entry. - Reverse scoring: v1 exports raw similarities + flags only; adjustment_strategy is a recorded parameter (design §11). Do not invent adjustments. - Do not restructure directories big-bang; follow the strangler steps (design §7). +- No em dashes anywhere in project text: UI strings, docs, comments, commit messages, YAML. Use a hyphen or restructure the sentence (Deva's rule, 2026-07-09; enforced by a PostToolUse hook). ## Workflow @@ -45,10 +46,10 @@ Current state: Phase 0 (visible features on the demo codebase). Roadmap: @ROADMA ## PI working norms -- Mohammad (2026-07-09): "you can always suggest better options that I might not know about — +- Mohammad (2026-07-09): "you can always suggest better options that I might not know about - take initiative (newer NLP models, lighter options, less expensive options)." Consequence: when a decision involves a model, service, or cost, ALWAYS check for newer/lighter/cheaper - candidates and present the better option with evidence — recommending beats asking. + candidates and present the better option with evidence - recommending beats asking. New models enter via the registry + benchmark-before-adopt (golden/parity harness), never by swapping defaults silently. Cost options favor free tiers and annual-friendly services. diff --git a/DECISIONS.md b/DECISIONS.md index 8ea478cee3ec62738fbd74bf0bbc84e55df8f52f..74b0e5508cd56536ac0335b38d43b1fb2d7ad8fd 100644 --- a/DECISIONS.md +++ b/DECISIONS.md @@ -1,32 +1,48 @@ # Decisions Log > One entry per architecture/infrastructure/vendor/model decision. -> Format: date — decision — why — rejected alternative — revisit trigger. +> Format: date - decision - why - rejected alternative - revisit trigger. > CLAUDE.md hard rule: no new infrastructure without an entry here. -## 2026-07-09 — Repo seeded from demo; demo stays live +## 2026-07-09 - Repo seeded from demo; demo stays live Mainline moves to this repo (future home: Culture-and-Morality-Lab org). The public demo repo -and HF Space remain deployed and untouched — the PI links people to it. Rejected: evolving the +and HF Space remain deployed and untouched - the PI links people to it. Rejected: evolving the demo repo in place (would couple experiments to a live artifact). Revisit: after Phase 1, repo transfers to the lab org (design §7 step 7). -## 2026-07-09 — Postgres jobs table over Redis/RQ (design §6) +## 2026-07-09 - Postgres jobs table over Redis/RQ (design §6) Durable queue via SELECT ... FOR UPDATE SKIP LOCKED + leases + sweeper; job state already in the DB. Rejected: Redis/RQ (a third stateful service before pressure exists). Trigger to revisit: multiple workers, scheduling needs, sustained queue depth. -## 2026-07-09 — Managed auth (Supabase Auth recommended), staged Google-first (design §8, §4.1) +## 2026-07-09 - Managed auth (Supabase Auth recommended), staged Google-first (design §8, §4.1) Rejected: custom password auth (hashing, reset flows, verification email, lockouts = hidden security work). Staged: Google sign-in first (zero email infra), email/password second within the same provider. Trigger: PI sign-off starts Phase 2. -## 2026-07-09 — MiniLM default; e5-large-v2 strong option; multilingual-E5 (design §13) +## 2026-07-09 - MiniLM default; e5-large-v2 strong option; multilingual-E5 (design §13) MiniLM is the CCR reference model → comparability with the published method; E5 models require "query: " prefixes (encoded in registry usage_config). Rejected: e5-large-v2 as default (slow on CPU, breaks anonymous inline tier; cross-family scores not comparable). Trigger: lab validation study could change defaults. -## 2026-07-09 — Reverse scoring: raw + flags only in v1 (design §11) +## 2026-07-09 - Reverse scoring: raw + flags only in v1 (design §11) Aggregates exclude reversed items only when explicitly required; all-reversed blocks aggregate. Rejected: sign-negation by default (silently invented psychometrics). Trigger: lab methods decision after discussion with PI. + +## 2026-07-09 - Placeholder demo sign-in for tier testing (not security) +Anonymous caps (2 MB / 500 rows, env-tunable) enforce the design §5.1 tiers now; a +name-only signed-cookie session lifts them so the tiered UX is testable before Supabase +auth lands. get_current_user() is the single Phase 2 integration point. Rejected: waiting +for real auth (tiers untestable) and client-only gating (trivially bypassed). + +## 2026-07-09 - Open archive/delete until accounts exist +Any visitor can archive/delete any project on the shared instance: there are no owners yet, +and mistake-cleanup matters more than protection on a demo. Delete requires typing the +project name, cascades to all files/rows, and is logged without text (design §9). Phase 2 +adds ownership checks to the same endpoints. + +## 2026-07-09 - No em dashes in project text (Deva) +Style rule across UI, docs, comments, commits. Enforced by a PostToolUse hook; swept 50 +existing files. diff --git a/DEPLOY.md b/DEPLOY.md index 138bfa6682cf56f0017c232d3231cd4364fabaf4..0cf51e3c672136f3dfe711a556eb599cf43d4a15 100644 --- a/DEPLOY.md +++ b/DEPLOY.md @@ -1,6 +1,6 @@ # Deploying the demo -## Option A — Hugging Face Spaces (free, recommended for the demo) +## Option A - Hugging Face Spaces (free, recommended for the demo) Free Docker Spaces: 2 vCPU / 16 GB RAM, no credit card. Bonus: the original CCR online tool lives on HF Spaces, so the prototype sits where the CCR @@ -34,19 +34,19 @@ community already works. First build takes ~5–10 min (model bakes into the image). Watch the build logs in the Space's "Logs" tab. -4. Optional hardening for the public instance — in Space Settings → +4. Optional hardening for the public instance - in Space Settings → Variables, set `CCR_MAX_ROWS=20000` (tighter ceiling than the 100k default while strangers can reach it). Notes: -- Storage is **ephemeral** — uploads/results vanish on restart or rebuild. +- Storage is **ephemeral** - uploads/results vanish on restart or rebuild. Fine for a demo; the email and the in-app welcome text both say so. - Free Spaces sleep after ~48h without traffic. Visit the URL the evening before and the morning of the interview so it's warm. - The direct app URL (no HF frame) is - `https://-ccr-platform.hf.space` — send that one. + `https://-ccr-platform.hf.space` - send that one. -## Option B — Google Cloud Run (few dollars, more "prod-like" URL) +## Option B - Google Cloud Run (few dollars, more "prod-like" URL) ```bash gcloud run deploy ccr-platform \ @@ -62,7 +62,7 @@ gcloud run deploy ccr-platform \ - `--min-instances 1`: no cold starts while he plays with it (~a few dollars for the week; delete the service after the process ends). -- `--max-instances 1`: SQLite + in-process queue assume one instance — +- `--max-instances 1`: SQLite + in-process queue assume one instance - documented demo trade-off, not an oversight. ## Pre-send checklist (either host) @@ -72,9 +72,9 @@ gcloud run deploy ccr-platform \ Satisfaction with Life → Run → results render → Export CSV downloads. 3. Second run (Individualism) finishes in seconds (model + item cache warm). 4. Upload your own messy CSV (Excel export with a BOM, or semicolon- - delimited) — parses, and any fallback is flagged in the UI. + delimited) - parses, and any fallback is flagged in the UI. 5. Upload rejects a bogus file (.txt/.exe) with a clean error. -6. Refresh the page — SPA loads, project still listed. +6. Refresh the page - SPA loads, project still listed. 7. Morning of the interview: open the URL once (warm the instance), re-run step 2 quickly. diff --git a/Dockerfile b/Dockerfile index 35a27e0a78ca901492eee475c271d5196331b303..705c89fe83821ea6eb1898d4a7769d72ec5ef2a7 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,4 +1,4 @@ -# CCR Platform — Cloud Run / container deployment. +# CCR Platform - Cloud Run / container deployment. # The embedding model is baked into the image so the first request # doesn't trigger a ~90 MB download (critical for demo cold starts). @@ -15,7 +15,7 @@ WORKDIR /srv COPY backend/requirements.txt . RUN pip install --no-cache-dir -r requirements.txt -# Pre-download ALL offered models into the image layer — a user picking a +# Pre-download ALL offered models into the image layer - a user picking a # non-default model must not trigger a multi-hundred-MB download mid-job # (looks like a hang). Make the cache usable by any runtime UID. RUN python -c "from sentence_transformers import SentenceTransformer; \ @@ -28,7 +28,7 @@ RUN python -c "from sentence_transformers import SentenceTransformer; \ COPY backend/app ./app COPY backend/static ./static -# Demo note: SQLite + uploads live on the container's ephemeral disk — +# Demo note: SQLite + uploads live on the container's ephemeral disk - # data resets on restart/redeploy. Acceptable for a demo; use # Postgres + S3/GCS object storage before any real use. EXPOSE 7860 diff --git a/README.md b/README.md index 1bc23583faa383d661d9d60515e237ff116008d8..f3f22338a89882a2a09cc9a446b13c3fb8f13cf5 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# CCR Platform — Culture and Morality Lab +# CCR Platform - Culture and Morality Lab Web platform for **Contextualized Construct Representation (CCR)** psychological text analysis ([method](https://github.com/Ali-Omrani/CCR) · [EMNLP 2024](https://aclanthology.org/2024.emnlp-main.151/)). @@ -20,7 +20,7 @@ reproducibility record. ``` ```bash -# fast test suite (deterministic fake embedder — no torch needed) +# fast test suite (deterministic fake embedder - no torch needed) cd backend && pip install -r requirements-dev.txt && python -m pytest tests/ -q # validate the registries @@ -37,7 +37,7 @@ python scripts/verify_install.py backend/ FastAPI app + tests (current working application) frontend/ React/Vite SPA source (prebuilt copy served from backend/static/) packages/ - model_registry/ models.yaml — single source of model truth + validator + model_registry/ models.yaml - single source of model truth + validator construct_library/ versioned construct YAMLs + validator (append-only) ccr_engine/ Phase 1 target: pure analysis package (see spec 0005) docs/ @@ -49,7 +49,7 @@ evals/ golden datasets + expected outputs (human-approved only) ## Working on this repo -Read `CLAUDE.md` first — it carries the architecture rules and hard rules (enforced partly by +Read `CLAUDE.md` first - it carries the architecture rules and hard rules (enforced partly by hooks). Features start from `docs/specs/`; decisions land in `DECISIONS.md`; user-visible changes land in `CHANGELOG.md`. The published `ccr_wrapper` implementation is the correctness spec for the engine. diff --git a/ROADMAP.md b/ROADMAP.md index 900abed3c732e2045f802a9bf4e5bfca24c8987b..bfca3a73f7c64e22d7b380d68de1563307c9cd14 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -1,23 +1,23 @@ -# Roadmap (from design doc §4 / §20 — capacity: one person, ≤20 hrs/week) +# Roadmap (from design doc §4 / §20 - capacity: one person, ≤20 hrs/week) -## Phase 0 — Visible progress (now) -- [x] Descriptive stats (mean/SD/min/max) — shipped in demo codebase +## Phase 0 - Visible progress (now) +- [x] Descriptive stats (mean/SD/min/max) - shipped in demo codebase - [x] Spec 0001: short-text + language warnings (structured warning objects) - [x] Spec 0002: offline-runnable Python script export + pinned requirements - [x] Spec 0003: registry-driven models (E5 prefixes!) + language selection - [x] Spec 0004: construct library from versioned YAML (assistant's questionnaires land here) -## Phase 1 — Engine hardening (weeks 3–5) +## Phase 1 - Engine hardening (weeks 3–5) - [ ] Spec 0005: extract packages/ccr_engine + golden evals + ccr_wrapper parity tests - [ ] Pin model revisions in models.yaml (remove PIN_ME) - [ ] Registry validation in CI -## Phase 2 — Persistence + auth (weeks 6–9, AFTER §22 sign-off) +## Phase 2 - Persistence + auth (weeks 6–9, AFTER §22 sign-off) - [ ] Supabase Auth (Google first, then email/password) · projects · Postgres metadata + jobs - [ ] Object storage behind the existing storage interface · TTL cleanup (anonymous 48h) - [ ] Anonymous caps per design §5.1 starter table -## Phase 3 — Production-lite launch +## Phase 3 - Production-lite launch - [ ] Repo → Culture-and-Morality-Lab org · staging + production hosting (Option B) - [ ] Backups, monitoring, privacy wording (lab-provided), verified-constructs workflow diff --git a/WORKLOG.md b/WORKLOG.md index 87095aa8f87c7d3edeed90d7f8a4d7d72f899f09..f65c73f7110da50dad8eae54173ad2f616067ed1 100644 --- a/WORKLOG.md +++ b/WORKLOG.md @@ -1,6 +1,6 @@ # Worklog pointer Hours and task-level logging live in the private lab worklog -(`../CAM-Lab/worklog.md` on Deva's machine — not committed here). +(`../CAM-Lab/worklog.md` on Deva's machine - not committed here). This file exists so repo docs can reference a stable path; keep private details out of the repo. diff --git a/backend/app/auth_demo.py b/backend/app/auth_demo.py new file mode 100644 index 0000000000000000000000000000000000000000..0209e9b4c27b60a7debd74c50d2f1febbe94349e --- /dev/null +++ b/backend/app/auth_demo.py @@ -0,0 +1,64 @@ +"""Placeholder sign-in for tier testing (design doc §4.1 staged rollout). + +This is deliberately NOT security. It exists so the anonymous-vs-signed-in +upload tiers have real UX and enforcement before the managed auth provider +(Supabase: Google first, then email/password) lands in Phase 2. The swap +plan: get_current_user() is the only integration point - Phase 2 replaces +its body with provider JWT verification and nothing else changes. + +Session: HMAC-signed cookie. Secret comes from CCR_SESSION_SECRET or is +random per process (restart signs everyone out - acceptable for a demo). +""" + +from __future__ import annotations + +import base64 +import hashlib +import hmac +import os +import secrets + +from fastapi import Request + +COOKIE_NAME = "ccr_demo_session" +_SECRET = (os.environ.get("CCR_SESSION_SECRET") or secrets.token_hex(32)).encode() + +# Tier limits; env-overridable so tests and the hosted demo can tune them. +ANON_MAX_BYTES_DEFAULT = 2 * 1024 * 1024 +ANON_MAX_ROWS_DEFAULT = 500 + + +def anon_max_bytes() -> int: + return int(os.environ.get("CCR_ANON_MAX_BYTES", ANON_MAX_BYTES_DEFAULT)) + + +def anon_max_rows() -> int: + return int(os.environ.get("CCR_ANON_MAX_ROWS", ANON_MAX_ROWS_DEFAULT)) + + +def _sign(payload: bytes) -> str: + return hmac.new(_SECRET, payload, hashlib.sha256).hexdigest() + + +def create_token(name: str) -> str: + payload = base64.urlsafe_b64encode(name.encode()).decode() + return f"{payload}.{_sign(payload.encode())}" + + +def verify_token(token: str | None) -> str | None: + """Return the signed-in name, or None for anonymous/invalid tokens.""" + if not token or "." not in token: + return None + payload, signature = token.rsplit(".", 1) + if not hmac.compare_digest(signature, _sign(payload.encode())): + return None + try: + return base64.urlsafe_b64decode(payload.encode()).decode() + except Exception: + return None + + +def get_current_user(request: Request) -> dict | None: + """Phase 2 integration point: replace body with provider JWT verification.""" + name = verify_token(request.cookies.get(COOKIE_NAME)) + return {"name": name, "tier": "member"} if name else None diff --git a/backend/app/ccr.py b/backend/app/ccr.py index 7309a447523faea0ada4d2fa278ce911643330dd..eb12017802a9d8658fa0cc8f9463828d7b9b1c9b 100644 --- a/backend/app/ccr.py +++ b/backend/app/ccr.py @@ -1,4 +1,4 @@ -"""CCR engine — Contextualized Construct Representations. +"""CCR engine - Contextualized Construct Representations. Method (Atari, Omrani et al.): embed validated questionnaire items and the texts to be analyzed with a contextual sentence-embedding model, then take @@ -7,7 +7,7 @@ similarities are the text's "loadings" on the construct; their mean is the overall CCR score. The embedding model is injected behind a small interface so that: - * production uses sentence-transformers (local, pinned, reproducible — + * production uses sentence-transformers (local, pinned, reproducible - corpora never leave the machine), and * tests/CI use a deterministic hash-based embedder with no ML dependency. """ @@ -126,7 +126,7 @@ class CCRResult: # Item-set embeddings are tiny and constantly reused (same construct run -# against many corpora) — cache them per (model, exact item wording). +# against many corpora) - cache them per (model, exact item wording). _item_embedding_cache: dict[tuple[str, str], np.ndarray] = {} @@ -150,7 +150,7 @@ def run_ccr( ) -> CCRResult: """Compute CCR loadings: cosine(text, item) for every text × item pair. - Prefixes come from the model registry's usage_config — E5-family models require + Prefixes come from the model registry's usage_config - E5-family models require "query: " on BOTH sides for symmetric similarity. Prefixed strings feed the encoder only; raw wording is what gets hashed and exported. """ diff --git a/backend/app/construct_lib.py b/backend/app/construct_lib.py index f569413b9d69ba62882d7117849609f8ba40bb78..7db15f75d5aec990a12e12afe041b5a6fcf791f7 100644 --- a/backend/app/construct_lib.py +++ b/backend/app/construct_lib.py @@ -1,11 +1,11 @@ -"""Construct library loader — seeds the DB from packages/construct_library/constructs/. +"""Construct library loader - seeds the DB from packages/construct_library/constructs/. Source of truth is the versioned YAML files (spec 0004, design doc §10.1). Rules: - * append-only: (construct_id, version) is immutable — same version with changed + * append-only: (construct_id, version) is immutable - same version with changed items is a hard error, never a silent update; * item_hash uses the REFERENCE implementation from validate_constructs.py (loaded by file path) so validator, seeder, and metadata always agree; - * verification_status flows to the UI — unverified wording is visibly flagged. + * verification_status flows to the UI - unverified wording is visibly flagged. New questionnaires from the lab land as new YAML files; `python packages/construct_library/ validate_constructs.py` first, then restart the app (or call sync) to pick them up. diff --git a/backend/app/db.py b/backend/app/db.py index 5fb00810ea294e2f1ef4ec9654dfc143d8adf68a..69a5ac946472244cdeee08e1244cf6032045d02f 100644 --- a/backend/app/db.py +++ b/backend/app/db.py @@ -1,4 +1,4 @@ -"""Database setup — SQLite via SQLAlchemy. +"""Database setup - SQLite via SQLAlchemy. SQLite is a deliberate choice for this deployment size (single-node, few concurrent writers). The models use no SQLite-specific features, so moving diff --git a/backend/app/ingest.py b/backend/app/ingest.py index 4612f8a544a79661c1e0ebf5a9a8b749b6c083d9..bbd234e179216254e1fb587f8013d48ffdceeae3 100644 --- a/backend/app/ingest.py +++ b/backend/app/ingest.py @@ -1,4 +1,4 @@ -"""Corpus ingestion — tolerant of real-world research files. +"""Corpus ingestion - tolerant of real-world research files. Researchers upload CSVs exported from Qualtrics, Excel, R, SPSS, and scrapers: BOMs, latin-1 encodings, semicolon/tab delimiters, ragged rows. @@ -34,7 +34,7 @@ def load_corpus(path: str | Path) -> tuple[pd.DataFrame, dict]: """Parse CSV/XLSX into a DataFrame. Returns (df, parse_info) where parse_info records the format, - encoding, and delimiter actually used — stored with the corpus and + encoding, and delimiter actually used - stored with the corpus and echoed into every run's reproducibility metadata. """ p = Path(path) @@ -85,7 +85,7 @@ _DELIMITER_CANDIDATES = (",", ";", "\t", "|") def _detect_delimiter(p: Path, encoding: str) -> str: """Pick the candidate delimiter most consistent across the first lines. - Single-column files (no candidate present) default to ',' — a comma parse + Single-column files (no candidate present) default to ',' - a comma parse of a delimiter-free file yields one column, which is exactly right. """ try: @@ -111,7 +111,7 @@ def _validate(df: pd.DataFrame) -> pd.DataFrame: raise IngestError("The file parsed but contains no data rows.") if len(df) > max_rows(): raise IngestError( - f"File has {len(df):,} rows — above this instance's " + f"File has {len(df):,} rows - above this instance's " f"{max_rows():,}-row limit. Split the corpus or run locally." ) df.columns = [str(c) for c in df.columns] diff --git a/backend/app/jobs.py b/backend/app/jobs.py index 8c243eaa382c644e6d4b65ab482bf34e610adf52..db2d30ad778afba9f2dc92db68260dceb14eca73 100644 --- a/backend/app/jobs.py +++ b/backend/app/jobs.py @@ -1,6 +1,6 @@ """Background job runner. -Jobs run on a dedicated single-worker executor — a deliberate right-sizing: +Jobs run on a dedicated single-worker executor - a deliberate right-sizing: embedding is CPU-bound, so running jobs sequentially protects the instance's memory and keeps per-job throughput predictable, while job state lives in the DB (queued → running → completed/failed) so the API and UI never depend @@ -42,15 +42,32 @@ TOP_N = 10 SNIPPET_LEN = 220 # Single worker: sequential jobs, bounded memory. See module docstring. -_executor = ThreadPoolExecutor(max_workers=1, thread_name_prefix="ccr-job") +# Created lazily and re-creatable: a lifespan shutdown (dev reload, test +# client closing) must not permanently kill job submission for the process. +import threading + +_executor: ThreadPoolExecutor | None = None +_executor_lock = threading.Lock() + + +def _get_executor() -> ThreadPoolExecutor: + global _executor + with _executor_lock: + if _executor is None: + _executor = ThreadPoolExecutor(max_workers=1, thread_name_prefix="ccr-job") + return _executor def submit_job(job_id: str) -> None: - _executor.submit(_run_job_logged, job_id) + _get_executor().submit(_run_job_logged, job_id) def shutdown_executor() -> None: - _executor.shutdown(wait=False, cancel_futures=True) + global _executor + with _executor_lock: + if _executor is not None: + _executor.shutdown(wait=False, cancel_futures=True) + _executor = None def recover_orphaned_jobs() -> int: @@ -129,7 +146,7 @@ def run_job(job_id: str) -> None: progress_cb=progress, item_prefix=item_prefix, text_prefix=text_prefix, ) - # Structured data-quality warnings (spec 0001) — objects, never bare strings. + # Structured data-quality warnings (spec 0001) - objects, never bare strings. W = warnings_engine.warning warnings: list[dict] = [] if dropped: @@ -141,7 +158,7 @@ def run_job(job_id: str) -> None: if n_dupes: warnings.append(W( "DUPLICATE_TEXTS", "warning", - f"{n_dupes} duplicate text(s) detected — each is scored independently; " + f"{n_dupes} duplicate text(s) detected - each is scored independently; " "deduplicate upstream if unintended.", count=n_dupes, )) short = warnings_engine.short_text_warning(texts) diff --git a/backend/app/main.py b/backend/app/main.py index 87652d501cacd3958fa19e45664be54d932a53e3..d3db3b26490378544d64cf633cb78c662d9d9f65 100644 --- a/backend/app/main.py +++ b/backend/app/main.py @@ -1,4 +1,4 @@ -"""CCR Platform — FastAPI application. +"""CCR Platform - FastAPI application. Single deployable: serves the JSON API under /api and the prebuilt React dashboard as static files at /. Local-first by design: corpora, embeddings, @@ -13,12 +13,13 @@ import json from contextlib import asynccontextmanager from pathlib import Path -from fastapi import Depends, FastAPI, HTTPException, UploadFile +from fastapi import Depends, FastAPI, HTTPException, Response, UploadFile from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import FileResponse, JSONResponse, PlainTextResponse from fastapi.staticfiles import StaticFiles from sqlalchemy.orm import Session +from . import auth_demo from . import jobs as jobs_module from . import registry from .ccr import FAKE_MODEL_NAME @@ -31,10 +32,12 @@ from .schemas import ( ConstructCreate, ConstructOut, CorpusOut, + DemoLogin, JobCreate, JobOut, ProjectCreate, ProjectOut, + ProjectPatch, ) MAX_UPLOAD_BYTES = 25 * 1024 * 1024 # sane lab-scale ceiling; raise deliberately @@ -133,7 +136,7 @@ def health(): @app.get("/api/models") def list_models(): - """Model options from the registry (spec 0003) — never hardcoded.""" + """Model options from the registry (spec 0003) - never hardcoded.""" return [ { "id": m.id, @@ -153,10 +156,47 @@ def list_languages(): return SELECTABLE_LANGUAGES +# ---------------------------------------------------- demo auth (placeholder) +@app.get("/api/auth/me") +def auth_me(user: dict | None = Depends(auth_demo.get_current_user)): + return { + "signed_in": user is not None, + "name": user["name"] if user else None, + "demo": True, + "limits": ( + {"max_bytes": MAX_UPLOAD_BYTES, "max_rows": None} + if user + else {"max_bytes": auth_demo.anon_max_bytes(), "max_rows": auth_demo.anon_max_rows()} + ), + } + + +@app.post("/api/auth/demo/login") +def demo_login(body: DemoLogin, response: Response): + """Placeholder session for tier testing. Replaced by managed auth in Phase 2.""" + name = body.name.strip() + if not name: + raise HTTPException(400, "Name cannot be empty.") + response.set_cookie( + auth_demo.COOKIE_NAME, + auth_demo.create_token(name), + httponly=True, + samesite="lax", + max_age=7 * 24 * 3600, + ) + return {"signed_in": True, "name": name, "demo": True} + + +@app.post("/api/auth/logout") +def logout(response: Response): + response.delete_cookie(auth_demo.COOKIE_NAME) + return {"signed_in": False} + + # --------------------------------------------------------------- projects @app.get("/api/projects", response_model=list[ProjectOut]) def list_projects(db: Session = Depends(get_db)): - """Projects ordered by last activity (latest run, else creation) — the + """Projects ordered by last activity (latest run, else creation) - the project a researcher wants is almost always the one they last worked on.""" from sqlalchemy import func @@ -180,6 +220,7 @@ def list_projects(db: Session = Depends(get_db)): created_at=p.created_at, last_activity_at=last or p.created_at, n_runs=count, + archived=bool(p.archived), ) ) out.sort(key=lambda x: x.last_activity_at, reverse=True) @@ -198,9 +239,65 @@ def create_project(body: ProjectCreate, db: Session = Depends(get_db)): created_at=project.created_at, last_activity_at=project.created_at, n_runs=0, + archived=False, + ) + + +@app.patch("/api/projects/{project_id}", response_model=ProjectOut) +def patch_project(project_id: str, body: ProjectPatch, db: Session = Depends(get_db)): + """Archive/unarchive - reversible, no data loss. Archived projects collapse + into the sidebar's Archived section and keep all datasets and runs.""" + project = _get_or_404(db, Project, project_id) + if body.archived is not None: + project.archived = bool(body.archived) + db.commit() + return ProjectOut( + id=project.id, + name=project.name, + description=project.description, + created_at=project.created_at, + last_activity_at=project.created_at, + n_runs=0, + archived=bool(project.archived), ) +@app.delete("/api/projects/{project_id}", status_code=204) +def delete_project(project_id: str, db: Session = Depends(get_db)): + """Permanent delete: removes the project, its datasets, runs, uploaded + files, and result files. Logged without retaining any uploaded text + (design doc §9). Ownership checks arrive with real accounts in Phase 2; + until then the shared instance is deliberately open.""" + import logging + + project = _get_or_404(db, Project, project_id) + corpora = db.query(Corpus).filter_by(project_id=project_id).all() + jobs = db.query(Job).filter_by(project_id=project_id).all() + + n_files = 0 + for corpus in corpora: + if corpus.path and Path(corpus.path).exists(): + Path(corpus.path).unlink(missing_ok=True) + n_files += 1 + for job in jobs: + if job.result_path and Path(job.result_path).exists(): + Path(job.result_path).unlink(missing_ok=True) + n_files += 1 + + for job in jobs: + db.delete(job) + for corpus in corpora: + db.delete(corpus) + db.delete(project) + db.commit() + + logging.getLogger("ccr.projects").info( + "project deleted: id=%s name=%r corpora=%d runs=%d files_removed=%d", + project_id, project.name, len(corpora), len(jobs), n_files, + ) + return Response(status_code=204) + + # ----------------------------------------------------------------- corpora @app.get("/api/projects/{project_id}/corpora", response_model=list[CorpusOut]) def list_corpora(project_id: str, db: Session = Depends(get_db)): @@ -227,7 +324,12 @@ def list_corpora(project_id: str, db: Session = Depends(get_db)): @app.post("/api/projects/{project_id}/corpora", response_model=CorpusOut, status_code=201) -async def upload_corpus(project_id: str, file: UploadFile, db: Session = Depends(get_db)): +async def upload_corpus( + project_id: str, + file: UploadFile, + db: Session = Depends(get_db), + user: dict | None = Depends(auth_demo.get_current_user), +): _get_or_404(db, Project, project_id) suffix = Path(file.filename or "upload.csv").suffix.lower() @@ -238,6 +340,15 @@ async def upload_corpus(project_id: str, file: UploadFile, db: Session = Depends if len(payload) > MAX_UPLOAD_BYTES: raise HTTPException(413, "File exceeds the 25 MB upload limit.") + # Tier gate (design §5.1): anonymous users get strict caps; signing in + # lifts them. Demo sign-in for now; managed auth replaces it in Phase 2. + if user is None and len(payload) > auth_demo.anon_max_bytes(): + mb = auth_demo.anon_max_bytes() // (1024 * 1024) + raise HTTPException( + 413, + f"Anonymous uploads are limited to {mb} MB. Sign in (top right) to upload larger files.", + ) + corpus = Corpus( project_id=project_id, filename=file.filename, path="", n_rows=0, columns_json="[]" ) @@ -251,6 +362,14 @@ async def upload_corpus(project_id: str, file: UploadFile, db: Session = Depends dest.unlink(missing_ok=True) raise HTTPException(400, str(exc)) from exc + if user is None and len(df) > auth_demo.anon_max_rows(): + dest.unlink(missing_ok=True) + raise HTTPException( + 400, + f"Anonymous uploads are limited to {auth_demo.anon_max_rows():,} rows " + f"(this file has {len(df):,}). Sign in (top right) to upload larger corpora.", + ) + corpus.n_rows = int(len(df)) corpus.columns_json = json.dumps(list(df.columns)) corpus.parse_info_json = json.dumps(parse_info) diff --git a/backend/app/models.py b/backend/app/models.py index f4c108595e373adfca775edf7073fb4cb0b282b3..8483b5367e0cd4b50a2cbae575226c806f273b29 100644 --- a/backend/app/models.py +++ b/backend/app/models.py @@ -2,7 +2,7 @@ IDs are UUID strings (portable across SQLite/Postgres). JSON-ish payloads (column lists, construct items, job metadata/summaries) are stored as JSON -text — they are read-mostly blobs, not queried relationally. +text - they are read-mostly blobs, not queried relationally. """ import uuid @@ -28,6 +28,7 @@ class Project(Base): id: Mapped[str] = mapped_column(String(32), primary_key=True, default=_uuid) name: Mapped[str] = mapped_column(String(200)) description: Mapped[str] = mapped_column(Text, default="") + archived: Mapped[bool] = mapped_column(Boolean, default=False) created_at: Mapped[str] = mapped_column(String(32), default=_now) diff --git a/backend/app/registry.py b/backend/app/registry.py index c3c227c01d3903d402babc249914ca707cd195bb..ed7d089c5ffbb45ac1c75c5ac8070f7659c80353 100644 --- a/backend/app/registry.py +++ b/backend/app/registry.py @@ -1,4 +1,4 @@ -"""Model registry loader — the app-side reader of packages/model_registry/models.yaml. +"""Model registry loader - the app-side reader of packages/model_registry/models.yaml. Single source of model truth (design doc §13): the UI dropdown, backend validation, prefix handling, language-support warnings, run metadata, and generated reproduction @@ -57,7 +57,7 @@ class ModelConfig: return None if self.revision in ("PIN_ME", "", None) else self.revision def supports_language(self, iso_code: str) -> bool: - if not self.supported_languages: # unknown coverage — never block/warn on it + if not self.supported_languages: # unknown coverage - never block/warn on it return True return iso_code.lower() in self.supported_languages diff --git a/backend/app/reproducibility.py b/backend/app/reproducibility.py index 1bbec6ff8e8c6af4cc836c838108be52c899c7f1..c428e264ab0362911319e53039328beecbc35575 100644 --- a/backend/app/reproducibility.py +++ b/backend/app/reproducibility.py @@ -1,7 +1,7 @@ """Reproduction-script generation (spec 0002, design doc §14). -The generated script is built ONLY from the run's stored metadata — never from live -state — so it reproduces what actually ran. It must be runnable outside the platform: +The generated script is built ONLY from the run's stored metadata - never from live +state - so it reproduces what actually ran. It must be runnable outside the platform: input CSV + Python + internet for the (pinned) model download. No platform credentials. """ @@ -108,7 +108,7 @@ def main(csv_path: str) -> None: work.to_csv("reproduced_results.csv", index=False) print(f"Wrote reproduced_results.csv ({{len(work)}} rows, {{sims.shape[1]}} items).") - print("Compare against the platform export — values should match to ~1e-5.") + print("Compare against the platform export - values should match to ~1e-5.") if __name__ == "__main__": diff --git a/backend/app/schemas.py b/backend/app/schemas.py index c4bb95e7c9788809b248da8191a6898c023aca07..d15bd055fbc217eb996addf8dcd1fddf1d9917fb 100644 --- a/backend/app/schemas.py +++ b/backend/app/schemas.py @@ -15,6 +15,15 @@ class ProjectOut(BaseModel): created_at: str last_activity_at: str = "" # latest run creation, else project creation n_runs: int = 0 + archived: bool = False + + +class ProjectPatch(BaseModel): + archived: bool | None = None + + +class DemoLogin(BaseModel): + name: str = Field(min_length=1, max_length=80) class CorpusOut(BaseModel): diff --git a/backend/app/warnings_engine.py b/backend/app/warnings_engine.py index f953d6e88038fa6ebfd784df1231a27ce38c1f8b..20538b9d7569cb99a30c262e95d7cbbc1a3d4eb2 100644 --- a/backend/app/warnings_engine.py +++ b/backend/app/warnings_engine.py @@ -1,12 +1,12 @@ """Structured data-quality warnings (spec 0001, design doc §12). -Every warning is an object — {code, severity, message, count?, affected_rows_sample?} — +Every warning is an object - {code, severity, message, count?, affected_rows_sample?} - never a bare string. Codes are UPPER_SNAKE and stable: downstream notebooks and the UI key off them. Severity: "info" (status, not a problem) | "warning" (proceed with care). Language detection is corpus-level only; short texts are exactly where detection is unreliable, so uncertainty is reported instead of guessed away. -Deviation from spec 0001 (recorded there): langdetect instead of lingua — pure-Python, +Deviation from spec 0001 (recorded there): langdetect instead of lingua - pure-Python, ~1 MB vs ~100 MB wheels; seeded for determinism. Upgrade path preserved by recording detector + version in metadata. 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Results include per-item loadings, score distributions, and a reproducibility record for every run."}),a.jsx("p",{className:"small muted",children:"Self-contained by design: embeddings run on this server itself - no third-party AI APIs. Demo instance: storage is ephemeral and may reset; please don't upload sensitive or identifiable data."})]})]})]})]})}hc(document.getElementById("root")).render(a.jsx(Fc.StrictMode,{children:a.jsx(tp,{})})); diff --git a/backend/static/index.html b/backend/static/index.html index cd03bc0bb7fc3dbf2b33101ff2dba84a9b8cfdd2..4188c4f2064bd5f678e23be02232c68ffc034c9f 100644 --- a/backend/static/index.html +++ b/backend/static/index.html @@ -4,8 +4,8 @@ CCR Platform — Contextualized Construct Representations - - + +
diff --git a/backend/tests/test_api.py b/backend/tests/test_api.py index 12f277ee02ab497fd82aac71e792a249ffbc028b..24db6a29bee44f61cc211f362d24d1d2b26d2864 100644 --- a/backend/tests/test_api.py +++ b/backend/tests/test_api.py @@ -1,8 +1,8 @@ """End-to-end API tests: project -> upload -> job -> results -> export. Run against the fake embedding backend (model_name = 'fake-deterministic'), -exercising the full pipeline — tolerant upload parsing, the real job queue -(worker thread + polling), results summary, warnings, and export shape — +exercising the full pipeline - tolerant upload parsing, the real job queue +(worker thread + polling), results summary, warnings, and export shape - without ML dependencies. """ @@ -81,7 +81,7 @@ def test_health(client): def test_seed_constructs_present(client): names = {c["name"] for c in client.get("/api/constructs").json()} assert "Satisfaction with Life" in names - assert "Moral Foundations — Care" in names + assert "Moral Foundations - Care" in names def test_corpus_upload_parses_columns(flow): diff --git a/backend/tests/test_auth_tiers_and_lifecycle.py b/backend/tests/test_auth_tiers_and_lifecycle.py new file mode 100644 index 0000000000000000000000000000000000000000..f5994a9dbc29b1e65f9524b5bca72a720b9e53f5 --- /dev/null +++ b/backend/tests/test_auth_tiers_and_lifecycle.py @@ -0,0 +1,134 @@ +"""Demo sign-in tiers (anonymous caps lift on sign-in) and project lifecycle +(archive is reversible; delete cascades to files and rows).""" + +import io +import time +from pathlib import Path + +import pytest +from fastapi.testclient import TestClient + +from app.main import app + + +def upload(client, project_id, name, payload: bytes): + return client.post( + f"/api/projects/{project_id}/corpora", + files={"file": (name, io.BytesIO(payload), "text/csv")}, + ) + + +def wait_for_job(client, job_id, timeout=10.0): + deadline = time.time() + timeout + while time.time() < deadline: + job = client.get(f"/api/jobs/{job_id}").json() + if job["status"] in ("completed", "failed"): + return job + time.sleep(0.05) + raise TimeoutError(job_id) + + +@pytest.fixture() +def client(): + with TestClient(app) as c: + yield c + + +def csv_rows(n: int) -> bytes: + return ("text\n" + "\n".join(f"sample sentence number {i} here" for i in range(n))).encode() + + +# ------------------------------------------------------------------- tiers +def test_anonymous_row_cap_and_signin_lifts_it(client, monkeypatch): + monkeypatch.setenv("CCR_ANON_MAX_ROWS", "5") + project = client.post("/api/projects", json={"name": "Tiers"}).json() + + me = client.get("/api/auth/me").json() + assert me["signed_in"] is False and me["limits"]["max_rows"] == 5 + + resp = upload(client, project["id"], "big.csv", csv_rows(10)) + assert resp.status_code == 400 + assert "Sign in" in resp.json()["detail"] + + assert client.post("/api/auth/demo/login", json={"name": "Deva"}).status_code == 200 + me = client.get("/api/auth/me").json() + assert me["signed_in"] is True and me["name"] == "Deva" + + resp = upload(client, project["id"], "big.csv", csv_rows(10)) + assert resp.status_code == 201, resp.json() + + client.post("/api/auth/logout") + assert client.get("/api/auth/me").json()["signed_in"] is False + + +def test_anonymous_size_cap(client, monkeypatch): + monkeypatch.setenv("CCR_ANON_MAX_BYTES", "200") + project = client.post("/api/projects", json={"name": "SizeCap"}).json() + resp = upload(client, project["id"], "big.csv", csv_rows(50)) + assert resp.status_code == 413 + assert "Sign in" in resp.json()["detail"] + + +def test_tampered_session_cookie_is_anonymous(client): + client.cookies.set("ccr_demo_session", "aGFja2Vy.badsignature") + assert client.get("/api/auth/me").json()["signed_in"] is False + + +# --------------------------------------------------------------- lifecycle +def test_archive_toggle_is_reversible(client): + project = client.post("/api/projects", json={"name": "Archivable"}).json() + assert project["archived"] is False + + patched = client.patch(f"/api/projects/{project['id']}", json={"archived": True}).json() + assert patched["archived"] is True + listed = next(p for p in client.get("/api/projects").json() if p["id"] == project["id"]) + assert listed["archived"] is True + + patched = client.patch(f"/api/projects/{project['id']}", json={"archived": False}).json() + assert patched["archived"] is False + + +def test_delete_cascades_rows_and_files(client): + project = client.post("/api/projects", json={"name": "Doomed"}).json() + corpus = upload(client, project["id"], "corpus.csv", csv_rows(6)).json() + + constructs = client.get("/api/constructs").json() + swls = next(c for c in constructs if c["name"] == "Satisfaction with Life") + job = client.post( + "/api/jobs", + json={ + "project_id": project["id"], + "corpus_id": corpus["id"], + "construct_id": swls["id"], + "text_column": "text", + "model_name": "fake-deterministic", + }, + ).json() + job = wait_for_job(client, job["id"]) + assert job["status"] == "completed" + + # capture file paths before deletion + results = client.get(f"/api/jobs/{job['id']}/results") + assert results.status_code == 200 + + resp = client.delete(f"/api/projects/{project['id']}") + assert resp.status_code == 204 + + assert client.get(f"/api/jobs/{job['id']}").status_code == 404 + assert all(p["id"] != project["id"] for p in client.get("/api/projects").json()) + # corpora listing for the deleted project 404s + assert client.get(f"/api/projects/{project['id']}/corpora").status_code == 404 + + +def test_delete_removes_files_on_disk(client, tmp_path): + import os + + data_dir = Path(os.environ["CCR_DATA_DIR"]) + project = client.post("/api/projects", json={"name": "FileCheck"}).json() + before = set((data_dir / "corpora").glob("*")) + upload(client, project["id"], "corpus.csv", csv_rows(6)) + created = set((data_dir / "corpora").glob("*")) - before + assert len(created) == 1 + + client.delete(f"/api/projects/{project['id']}") + assert not created.pop().exists() diff --git a/backend/tests/test_ccr.py b/backend/tests/test_ccr.py index 6cf1dd8d85305546052970a05f08d1c88c31f306..225c8692e64617bf7438df6f002dd348571125cf 100644 --- a/backend/tests/test_ccr.py +++ b/backend/tests/test_ccr.py @@ -1,4 +1,4 @@ -"""Unit tests for the CCR engine (deterministic fake backend — no torch).""" +"""Unit tests for the CCR engine (deterministic fake backend - no torch).""" import numpy as np import pytest diff --git a/docs/specs/0001-data-quality-warnings.md b/docs/specs/0001-data-quality-warnings.md index 080c34528f29db45f1fee9afecfc290b81d5bf7e..381dd2bfba09e97fa6586fb92b2bd4a6f102cc2f 100644 --- a/docs/specs/0001-data-quality-warnings.md +++ b/docs/specs/0001-data-quality-warnings.md @@ -1,13 +1,13 @@ -# Spec 0001 — Data-quality warnings: very short texts + likely wrong language +# Spec 0001 - Data-quality warnings: very short texts + likely wrong language **Status:** implemented (2026-07-09) **Phase:** 0 **Design doc ref:** §12 (language), §11 pipeline step 3 (Text QA) -**Requested by:** Mohammad (Slack brief: "proper warnings — wrong language, super short texts, super long texts") +**Requested by:** Mohammad (Slack brief: "proper warnings - wrong language, super short texts, super long texts") ## Problem Researchers upload corpora with rows that embed unreliably (very short texts) or that don't match the language they selected. Today the platform warns about empties, duplicates, and -truncation-length texts, but not about short texts or language mismatch — so silent validity +truncation-length texts, but not about short texts or language mismatch - so silent validity problems reach published results. ## Contract @@ -25,7 +25,7 @@ problems reach published results. **Language detection design:** - Corpus-level only: sample up to 200 rows with ≥ 5 tokens; if < 20 such rows → LANGUAGE_UNCERTAIN. -- Library: `lingua-language-detector` (pure-Python wheels, no torch) — add to requirements; record library+version in metadata. +- Library: `lingua-language-detector` (pure-Python wheels, no torch) - add to requirements; record library+version in metadata. - Never block on language; user may proceed (design §12 user-override rule). **Warning object schema (all warnings migrate to this shape):** @@ -51,12 +51,12 @@ splitting (future spec). - golden: sample_corpus.csv against SWLS produces byte-stable warning set ## Implementation notes -- Warning construction centralizes in a new `warnings.py` module (engine-side, pure) — first +- Warning construction centralizes in a new `warnings.py` module (engine-side, pure) - first extraction step toward packages/ccr_engine. - Detection runs once at job start on the parsed dataframe; result flows into metadata + warnings. -- UI: no new components — existing warnings panel renders the message strings. +- UI: no new components - existing warnings panel renders the message strings. ## Deviations (filled after implementation) -- Detector: `langdetect` (seeded, deterministic) instead of lingua — ~1 MB pure-Python vs ~100 MB wheels; detector + version recorded in metadata so an upgrade stays traceable. +- Detector: `langdetect` (seeded, deterministic) instead of lingua - ~1 MB pure-Python vs ~100 MB wheels; detector + version recorded in metadata so an upgrade stays traceable. - LANGUAGE_MISMATCH threshold implemented as majority-share >= 0.70 across sampled rows. - MODEL_NOTE (info) added: registry user_warnings surface per run (not in original spec). diff --git a/docs/specs/0002-python-script-export.md b/docs/specs/0002-python-script-export.md index 2f3d8f450cf1df325d3c1a80664af5bf8ea81acd..107afc8c3fd543e40703d340b7e12a36f92a6578 100644 --- a/docs/specs/0002-python-script-export.md +++ b/docs/specs/0002-python-script-export.md @@ -1,4 +1,4 @@ -# Spec 0002 — Reproduction script export (offline-runnable) +# Spec 0002 - Reproduction script export (offline-runnable) **Status:** implemented (2026-07-09) **Phase:** 0 **Design doc ref:** §14 diff --git a/docs/specs/0003-model-registry-and-language-selection.md b/docs/specs/0003-model-registry-and-language-selection.md index 6f5aea3fe27ede723c9b66edf4f9de101c791d0f..8d6be4a5a8e38d3a6f3d5ed8f55243eaa0623035 100644 --- a/docs/specs/0003-model-registry-and-language-selection.md +++ b/docs/specs/0003-model-registry-and-language-selection.md @@ -1,4 +1,4 @@ -# Spec 0003 — Registry-driven models + language selection (brief) +# Spec 0003 - Registry-driven models + language selection (brief) **Status:** implemented (2026-07-09) **Phase:** 0 **Design doc ref:** §12, §13 @@ -12,5 +12,5 @@ into spec-0001 warnings. Add e5-large-v2 and multilingual-e5-base to the UI via Validator (`validate_models.py`) runs in tests. Pin revisions before Phase 1 exit. **Key tests:** loader validation errors, prefix application for E5 (assert embedded strings -receive "query: " — testable via fake backend capturing inputs), /api/models shape, metadata +receive "query: " - testable via fake backend capturing inputs), /api/models shape, metadata records registry snapshot, MiniLM stays default. diff --git a/docs/specs/0004-construct-library-yaml.md b/docs/specs/0004-construct-library-yaml.md index f4e931004453e76ecc1f47bd1455d105ef6b3144..71f61b9572f3f0ac777e2567755372f66cfef2a8 100644 --- a/docs/specs/0004-construct-library-yaml.md +++ b/docs/specs/0004-construct-library-yaml.md @@ -1,4 +1,4 @@ -# Spec 0004 — Construct library from YAML (brief) +# Spec 0004 - Construct library from YAML (brief) **Status:** implemented (2026-07-09) **Phase:** 0/1 **Design doc ref:** §10.1, §11 @@ -7,7 +7,7 @@ Replace `backend/app/seed_constructs.py` seeding with `packages/construct_library/constructs/*.yaml` as the source of truth: loader validates via the same rules as `validate_constructs.py`, computes item_hash with the reference algorithm, seeds/updates DB rows keyed -(construct_id, version) — append-only, never mutate an existing version. Run metadata embeds +(construct_id, version) - append-only, never mutate an existing version. Run metadata embeds the full construct snapshot. UI shows verification_status (verified prominently; others with a "wording not yet verified" chip). New questionnaires from the lab = new YAML files + validator run; item wordings marked needs_verification until checked verbatim against the publication. diff --git a/docs/specs/0005-engine-extraction-and-parity.md b/docs/specs/0005-engine-extraction-and-parity.md index a0603ff27edf4032ba5dbb4c91b4d8cc0a50fd21..090655be98a29a51bf9edf299fb269f7b3cda925 100644 --- a/docs/specs/0005-engine-extraction-and-parity.md +++ b/docs/specs/0005-engine-extraction-and-parity.md @@ -1,6 +1,6 @@ -# Spec 0005 — ccr_engine extraction + reference parity tests (brief) +# Spec 0005 - ccr_engine extraction + reference parity tests (brief) -**Status:** draft (Phase 1 opener — refine after Phase 0 ships) +**Status:** draft (Phase 1 opener - refine after Phase 0 ships) **Phase:** 1 **Design doc ref:** §7 (strangler steps 1–3), §10, §16 Extract the pure analysis package per the strangler plan: move similarity/scoring/warnings/ @@ -8,7 +8,7 @@ stats/reproducibility logic from backend/app into `packages/ccr_engine/` with th `run_ccr_analysis(...)` interface (design §10); backend becomes an orchestration layer. Freeze behavior first with golden datasets (evals/golden_datasets → evals/expected_outputs, human- approved). Then add reference parity: same corpus + items through the published `ccr_wrapper` -(pyccr) and through ccr_engine — similarities match within atol (1e-5 target), pinned model +(pyccr) and through ccr_engine - similarities match within atol (1e-5 target), pinned model revisions on BOTH paths, run in the same container as production. Document any expected differences. Editable-install workspace wiring so backend imports the package (no sys.path hacks). diff --git a/docs/specs/TEMPLATE.md b/docs/specs/TEMPLATE.md index 6c289dea5e16a7286384788493dd0549a46c505f..c20ced92c0d5dcf42dca918b5f626bdeba09a112 100644 --- a/docs/specs/TEMPLATE.md +++ b/docs/specs/TEMPLATE.md @@ -1,4 +1,4 @@ -# Spec NNNN — +# Spec NNNN - **Status:** draft | approved | implemented (+ deviations noted below) **Phase:** 0 | 1 | 2 | 3 **Design doc ref:** § diff --git a/evals/README.md b/evals/README.md index 3752600f8930367c128eb3b14286ef579a8814e1..c1ae6f532cf21069371d47961ca5b3a2ba916b0d 100644 --- a/evals/README.md +++ b/evals/README.md @@ -1,10 +1,10 @@ # Golden evals -Purpose: catch silent research-behavior drift — output shape, column names/order, metadata -fields, warning codes — per design doc §16. +Purpose: catch silent research-behavior drift - output shape, column names/order, metadata +fields, warning codes - per design doc §16. -- `golden_datasets/` — frozen input corpora (never edit rows in place; add new files). -- `expected_outputs/` — human-approved expected results. **Protected by a PreToolUse hook:** +- `golden_datasets/` - frozen input corpora (never edit rows in place; add new files). +- `expected_outputs/` - human-approved expected results. **Protected by a PreToolUse hook:** Claude Code cannot edit files here. To update after an approved behavior change, regenerate manually and review the diff yourself before committing. - Runner arrives with spec 0005 (engine extraction freezes behavior first). Until then, the diff --git a/frontend/index.html b/frontend/index.html index f20239879df9b2fb69576502ec73babfbdc12e2d..d654ed2b37053c6d02a2b692b981276826d5f77b 100644 --- a/frontend/index.html +++ b/frontend/index.html @@ -3,7 +3,7 @@ - CCR Platform — Contextualized Construct Representations + CCR Platform - Contextualized Construct Representations
diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx index a392275682799fafc699903cf33e4cf3d1085733..e97853a70d94a20d43f52c20419c43503c48610f 100644 --- a/frontend/src/App.jsx +++ b/frontend/src/App.jsx @@ -16,12 +16,17 @@ function relativeTime(iso) { } function groupProjects(projects) { - // Buckets by last activity: Today / This week / Earlier. Projects arrive + // Buckets by last activity: Today / This week / Earlier, with archived + // projects collapsed into their own group at the bottom. Projects arrive // sorted by last activity (backend), so group order falls out naturally. const now = Date.now(); const DAY = 86400000; - const groups = { Today: [], "This week": [], Earlier: [] }; + const groups = { Today: [], "This week": [], Earlier: [], Archived: [] }; for (const p of projects) { + if (p.archived) { + groups.Archived.push(p); + continue; + } const iso = p.last_activity_at || p.created_at; const t = new Date(iso.endsWith("Z") || iso.includes("+") ? iso : iso + "Z").getTime(); const age = now - t; @@ -39,14 +44,41 @@ export default function App() { const [newName, setNewName] = useState(""); const [filter, setFilter] = useState(""); const [error, setError] = useState(""); + const [auth, setAuth] = useState(null); + const [showLogin, setShowLogin] = useState(false); + const [loginName, setLoginName] = useState(""); const loadProjects = () => api.listProjects().then(setProjects).catch((e) => setError(e.message)); + const loadAuth = () => api.authMe().then(setAuth).catch(() => {}); useEffect(() => { loadProjects(); + loadAuth(); }, []); + async function handleLogin(e) { + e.preventDefault(); + if (!loginName.trim()) return; + try { + await api.demoLogin(loginName.trim()); + setShowLogin(false); + setLoginName(""); + await loadAuth(); + } catch (err) { + setError(err.message); + } + } + + async function handleLogout() { + try { + await api.logout(); + await loadAuth(); + } catch (err) { + setError(err.message); + } + } + useEffect(() => { if (projects.length === 0) { setSelectedId(null); @@ -84,8 +116,64 @@ export default function App() { Contextualized Construct Representations · theory-driven psychological text analysis + + {auth?.signed_in ? ( + <> + Hi, {auth.name} + + + ) : ( + + )} + + {showLogin && ( +
setShowLogin(false)}> +
e.stopPropagation()}> +

Sign in

+

+ Signing in lifts the anonymous upload limits + {auth?.limits?.max_rows + ? ` (currently ${Math.round(auth.limits.max_bytes / 1048576)} MB / ${auth.limits.max_rows.toLocaleString()} rows per file)` + : ""} + . +

+ +
+ +
+ + +
+
+

+ This is a temporary placeholder so larger uploads can be tested. Real + sign-in (Google + university account) arrives with lab accounts. +

+
+
+ )} +
)} {selected ? ( - + { + setSelectedId(null); + loadProjects(); + }} + /> ) : (

Welcome

@@ -168,7 +265,7 @@ export default function App() { score distributions, and a reproducibility record for every run.

- Self-contained by design: embeddings run on this server itself — no + Self-contained by design: embeddings run on this server itself - no third-party AI APIs. Demo instance: storage is ephemeral and may reset; please don't upload sensitive or identifiable data.

diff --git a/frontend/src/ResultsView.jsx b/frontend/src/ResultsView.jsx index a6db837d8bea7673da42cb283d3ee52c280a5527..321940d7437311207a1e0f18079c2c8c08a69630 100644 --- a/frontend/src/ResultsView.jsx +++ b/frontend/src/ResultsView.jsx @@ -73,7 +73,7 @@ export default function ResultsView({ jobId, onBack }) {
  • {typeof w === "string" ? w : ( <> - {w.code} — {w.message} + {w.code} - {w.message} )}
    • @@ -91,7 +91,7 @@ export default function ResultsView({ jobId, onBack }) {

    Per-item mean loadings

    - Mean similarity of the corpus to each scale item — a face-validity check on which + Mean similarity of the corpus to each scale item - a face-validity check on which items drive the construct signal.

    {summary.item_means.map((m, i) => ( @@ -122,7 +122,7 @@ export default function ResultsView({ jobId, onBack }) {
    - Reproducibility record — model: {metadata.model} (dim{" "} + Reproducibility record - model: {metadata.model} (dim{" "} {metadata.embedding_dim}) · items hash: {metadata.items_sha256_16} · text column: {metadata.text_column} · run:{" "} {metadata.started_at} → {metadata.finished_at} ({metadata.duration_seconds}s) · @@ -130,7 +130,7 @@ export default function ResultsView({ jobId, onBack }) { {metadata.sentence_transformers && ` · sentence-transformers ${metadata.sentence_transformers}`}
    - Construct reference: {metadata.construct_reference || "—"} + Construct reference: {metadata.construct_reference || "-"}
    diff --git a/frontend/src/Workspace.jsx b/frontend/src/Workspace.jsx index 8bb9bff9998360b1ecaad0239eea21b493b5c08a..c516b6c0e70b0ab3fc7dcc05d22ec863194797ab 100644 --- a/frontend/src/Workspace.jsx +++ b/frontend/src/Workspace.jsx @@ -2,7 +2,7 @@ import { useCallback, useEffect, useRef, useState } from "react"; import { api } from "./api.js"; import ResultsView from "./ResultsView.jsx"; -export default function Workspace({ project }) { +export default function Workspace({ project, auth, onProjectChanged, onProjectDeleted }) { const [corpora, setCorpora] = useState([]); const [constructs, setConstructs] = useState([]); const [models, setModels] = useState([]); @@ -19,8 +19,29 @@ export default function Workspace({ project }) { const [error, setError] = useState(""); const [showNewConstruct, setShowNewConstruct] = useState(false); const [viewJobId, setViewJobId] = useState(null); + const [confirmDelete, setConfirmDelete] = useState(false); + const [deleteText, setDeleteText] = useState(""); const fileRef = useRef(null); + async function toggleArchive() { + try { + await api.patchProject(project.id, { archived: !project.archived }); + onProjectChanged?.(); + } catch (err) { + setError(err.message); + } + } + + async function handleDelete() { + try { + await api.deleteProject(project.id); + setConfirmDelete(false); + onProjectDeleted?.(); + } catch (err) { + setError(err.message); + } + } + const refreshJobs = useCallback( () => api.listJobs(project.id).then(setJobs).catch(() => {}), [project.id] @@ -113,13 +134,78 @@ export default function Workspace({ project }) {
    )} - {/* Step 1 — corpus */} + {/* Project header + actions */} +
    +
    + {project.name} + {project.archived && archived} +
    +
    + + +
    +
    + + {confirmDelete && ( +
    setConfirmDelete(false)}> +
    e.stopPropagation()}> +

    Delete "{project.name}"?

    +

    + This permanently deletes {corpora.length} dataset{corpora.length === 1 ? "" : "s"},{" "} + {jobs.length} run{jobs.length === 1 ? "" : "s"}, and all uploaded and result files. + This cannot be undone. If you might need it later, use Archive instead. +

    + +
    + + +
    +
    +
    + )} + + {/* Step 1 - corpus */}

    1Corpus

    Upload a CSV or XLSX file, then choose the column containing the text to analyze. + {auth && !auth.signed_in && auth.limits?.max_rows && ( + <> + {" "} + Anonymous limit: {Math.round(auth.limits.max_bytes / 1048576)} MB /{" "} + {auth.limits.max_rows.toLocaleString()} rows per file; sign in (top right) for + larger uploads. + + )}

    @@ -139,7 +225,7 @@ export default function Workspace({ project }) {
    - {/* Step 3 — language, model + run */} + {/* Step 3 - language, model + run */}

    3Language, model & run @@ -240,7 +326,7 @@ export default function Workspace({ project }) {

    Embeddings run locally via sentence-transformers; model and language are recorded in the run metadata. If the corpus doesn't match the selected language or the - model doesn't support it, you'll get a warning — never a silent result. + model doesn't support it, you'll get a warning - never a silent result.