Adds previews.

CLAUDE.md

@@ -268,15 +268,23 @@ Neither blocks the ETL. They improve dataset metadata.
 
 ```
 .python-version                # 3.13
-pyproject.toml                 # pyarrow, polars
-.gitattributes                 # *.parquet → LFS
+pyproject.toml                 # pyarrow, polars, imageio[ffmpeg], pillow, numpy
+.gitattributes                 # *.parquet, *.mp4 → LFS
 
 scripts/
-  _lib.py                      # sibling-repo paths, FK resolver
+  _lib.py                      # sibling-repo paths + JSONL streaming
   ticks/01_extract.py          # the single ETL — wide-pivot + asof + burst + embed
+  previews/01_render.py        # per-build MP4 previews from data/ticks/
 
 data/
   ticks/{build_id:03d}.parquet # LFS; e.g. 001.parquet, 026.parquet
+
+previews/
+  {build_id:03d}/
+    chamber.mp4                # LFS; optical, forward-filled, 10 fps real-time
+    thermal.mp4                # LFS; IR matrix
+    galvo.mp4                  # LFS; scan-mirror trace
+    composite.mp4              # LFS; 1×3 panel: chamber | thermal | galvo
 ```
 
 There is no `source/` (raw data lives in the sibling recorder repo's `data/exports/`).
@@ -367,11 +375,11 @@ If `expand()` in the recorder ever changes, all of those column names change wit
 
 ## Current state
 
-- `ticks` config: implemented with embedded frame bytes. 10 parquet files, 30 GB total, 1.01 M ticks across builds 1, 2, 12, 13, 14, 16, 17, 25, 26, 28.
-- `print_profile_name` is preserved on every row; the `print_profile_id` UUID is *not* materialized here (see the architectural decision above). The existing parquet files on disk were written before this change and still contain a `print_profile_id` column — they'll lose it on the next full regen.
+- `ticks` config: implemented with embedded frame bytes. 12 parquet files, ~47 GB total, across builds 1, 2, 12, 13, 14, 16, 17, 25, 26, 28, 29, 30. Builds 29 and 30 were added 2026-06-28; the first 10 still carry a stale `print_profile_id` column from before the dep-drop and will lose it on next regen.
+- `print_profile_name` is preserved on every row; the `print_profile_id` UUID is *not* materialized here (see the architectural decision above).
 - `events` and `plotter_commands` not surfaced as configs.
 - **Forward-fill semantics deferred.** Current attach is "fresh frame within 100 ms of tick or null." Carrying the latest captured frame forward to fill null rows is left to consumers (one-line groupby + ffill); baking it into the dataset would destroy the fresh-vs-stale signal that's the whole point of keeping nulls.
-- Repo is not yet committed; data/ticks/ files are unstaged. LFS rules are configured but no LFS objects pushed yet.
+- `previews/` MP4s: scaffolded 2026-06-28; first full render in progress (see "Preview videos" below).
 
 ## Adding a build — recipe
 
@@ -379,7 +387,8 @@ If `expand()` in the recorder ever changes, all of those column names change wit
 2. Run `scripts/export.py` in the recorder repo to refresh `data/exports/`. Pass `--builds N` to scope to one build if you don't want to re-export everything.
 3. (Optional, but recommended) edit `Agentic-…-Optimization/data/exports/build_to_inova_session.csv` to fill in the `inova_session_id` UUID for the new build, then commit there.
 4. Run `uv run scripts/ticks/01_extract.py N` here to write `data/ticks/NNN.parquet` (zero-padded — e.g. build 7 → `007.parquet`, build 142 → `142.parquet`).
-5. `git add data/ticks/NNN.parquet` (LFS) and commit.
+5. Run `uv run scripts/previews/01_render.py N` to generate the four preview MP4s under `previews/NNN/`. See "Preview videos" below for cost.
+6. `git add data/ticks/NNN.parquet previews/NNN/` (LFS) and commit.
 
 ## Regenerate everything
 
@@ -389,3 +398,29 @@ uv run scripts/ticks/01_extract.py
 ```
 
 Takes ~2 hours, produces ~30 GB. The IO is the bottleneck; the Polars pivot and asof joins are fast.
+
+## Preview videos
+
+`scripts/previews/01_render.py` walks `data/ticks/*.parquet` and emits four MP4s per build under `previews/{build_id:03d}/`:
+
+- `chamber.mp4` — optical, from `frame_chamber`
+- `thermal.mp4` — IR matrix, from `frame_thermal`
+- `galvo.mp4` — scan-mirror trace, from `frame_galvo`
+- `composite.mp4` — 1×3 panel (chamber | thermal | galvo)
+
+Design choices baked in:
+- **Source is this dataset's own parquet, not the recorder's raw frame files.** Means previews are self-contained (no recorder repo needed at render time) but only see the per-tick-attached subset (~36% chamber / ~37% galvo / ~16% thermal of ticks have a frame).
+- **Real-time playback at 10 fps** — output duration matches build wall-clock. Build 26 (~9h54m) → ~9h54m of video. Null cells are forward-filled so the picture keeps moving through long heating stretches (this is a *viewing* convenience and does NOT contradict the no-forward-fill rule on the dataset itself — videos are not training data).
+- **Letterbox-fit into a canvas locked by the first non-null frame.** Some builds have a thermal config change mid-run that produces a different source aspect ratio (e.g. build 13 has 2,215 frames at 960×720 and 2 at 852×852); the lock-and-letterbox approach keeps ffmpeg happy.
+- **Streamed row-group iteration via pyarrow** (`BATCH_ROWS=1000`) so the whole parquet never lives in memory — necessary for the 11 GB files.
+
+Cost is non-trivial: full render of all 12 builds is ~25 GB of LFS, ~9.7 h of encode (libx264 with imageio-ffmpeg). The long-build MP4s dominate; the tiny failed-heating builds (2, 14, 16, 17, 25) cost seconds and sub-MB each.
+
+### Regenerate previews
+
+```sh
+uv run scripts/previews/01_render.py            # all builds with parquet
+uv run scripts/previews/01_render.py 13 26      # specific builds
+```
+
+Always overwrites existing previews (no skip-if-exists). For incremental work, name the build IDs.

README.md

@@ -61,10 +61,16 @@ Each row is one moment in time (a single 10 Hz tick). 80+ columns:
 ## Files
 
 ```
-data/ticks/{build_id:03d}.parquet  # one file per build that had telemetry, zero-padded to 3 digits
+data/ticks/{build_id:03d}.parquet      # one file per build that had telemetry, zero-padded to 3 digits
+
+previews/{build_id:03d}/                # per-build MP4 previews (real-time, 10 fps)
+  chamber.mp4                          # optical
+  thermal.mp4                          # IR matrix
+  galvo.mp4                            # scan-mirror trace
+  composite.mp4                        # 1×3 panel: chamber | thermal | galvo
 ```
 
-10 builds had recorded telemetry; very-short failed-heating builds (~12–38 s, no rows) produce no file. The HF glob `data/ticks/*.parquet` loads everything across builds.
+12 builds had recorded telemetry; very-short failed-heating builds (~12–38 s, no rows) produce no parquet. The HF glob `data/ticks/*.parquet` loads everything across builds. Previews are derived from the same parquet files — every build that has a parquet also has previews.
 
 ## What's lost vs the raw exporter format
 
@@ -100,9 +106,18 @@ A planned authoritative `inova_session_id UUID` will replace the name-based fall
 
 The raw data lives in the sibling repository [`Agentic-Additive-Manufacturing-Process-Optimization`](https://github.com/ppak10/Agentic-Additive-Manufacturing-Process-Optimization). Its `scripts/export.py` writes flat files under `data/exports/`. This dataset reads from there directly via a sibling-folder relative path — no live database connection required.
 
+## Previews
+
+Each build that has a parquet also has four MP4s under `previews/{build_id:03d}/`: separate `chamber.mp4` / `thermal.mp4` / `galvo.mp4` and a `composite.mp4` showing all three side-by-side. They play back at 10 fps — the tick rate — so each video's duration equals the build's wall-clock duration (build 26 → ~9h54m of video). Null frames are forward-filled so the picture keeps moving through long heating stretches.
+
+Previews are sourced from this dataset's own parquet (not the recorder's raw frames), so they see only the per-tick-attached frame subset (~36% chamber, ~37% galvo, ~16% thermal of ticks). The result is choppier than playing the recorder's raw frames at native rate, but the previews are fully self-contained.
+
 ## Regenerate
 
 ```sh
 uv run scripts/ticks/01_extract.py            # all builds with telemetry
 uv run scripts/ticks/01_extract.py 13 26      # specific build ids
+
+uv run scripts/previews/01_render.py          # all builds with parquet
+uv run scripts/previews/01_render.py 13 26    # specific build ids
 ```

data/ticks/029.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7984c30bae143e2dbd661485a3bf3c00b64f8dcf5c788268931d58f4d0035967
+size 9743021465

data/ticks/030.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72fa46726514b3c98c4aa31eb255afb82469d5342d44f877a6c27b628395ad92
+size 7195639311

previews/001/chamber.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8edc3452c86af1caea06146aacb48ca394ae9947e1f541c126fbfbf84d18bdf3
+size 309562767

previews/001/composite.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac11c453d16181450ed7d925913d1475c8ea3549f51267a386c7f1467f238b8b
+size 626863965

previews/001/galvo.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc2fb50e13459851059443da40395811c5761f6a787ae50b296b826f2315d340
+size 3473226

previews/001/thermal.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2920f35f85b4ecaee6430d4210cf1328347aeece8f1667f78bc7b1cd3343ea3f
+size 358122191

pyproject.toml

@@ -7,4 +7,7 @@ requires-python = ">=3.13"
 dependencies = [
     "pyarrow>=15",
     "polars>=1.0",
+    "imageio[ffmpeg]>=2.34",
+    "pillow>=10",
+    "numpy>=1.26",
 ]

scripts/previews/01_render.py

@@ -0,0 +1,176 @@
+#!/usr/bin/env python3
+"""Render preview MP4s for each build's parquet.
+
+Reads data/ticks/{build_id:03d}.parquet and writes:
+  previews/{build_id:03d}/chamber.mp4    (optical)
+  previews/{build_id:03d}/thermal.mp4
+  previews/{build_id:03d}/galvo.mp4
+  previews/{build_id:03d}/composite.mp4  (1x3 panel: chamber | thermal | galvo)
+
+Playback is at 10 fps (= tick rate), so the video duration matches the build's
+wall-clock duration. Null frames are forward-filled with the most recent
+captured frame of that kind, so the preview keeps moving even during the
+sparse stretches (heating, idle).
+
+Source is the dataset's own parquet — no recorder repo needed. The trade-off
+is that ~half of upstream-captured frames don't survive the per-tick attach,
+so motion looks chunkier than playing the raw recorder frames would.
+
+Usage:
+    uv run scripts/previews/01_render.py            # all builds in data/ticks/
+    uv run scripts/previews/01_render.py 13 26      # specific build ids
+"""
+import io
+import sys
+from pathlib import Path
+
+import imageio.v2 as iio
+import numpy as np
+import pyarrow.parquet as pq
+from PIL import Image
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+from _lib import DATA_DIR
+
+OUTPUT_DIR = DATA_DIR.parent / "previews"
+TICKS_DIR = DATA_DIR / "ticks"
+# Order here = left-to-right order in the composite panel.
+FRAME_KINDS = ("chamber", "thermal", "galvo")
+FPS = 10
+PANEL_HEIGHT = 480  # all panels resized to this height; widths float to preserve aspect ratio.
+BATCH_ROWS = 1000   # pyarrow row-group iter chunk; bounds peak memory per build.
+
+
+def _even(n: int) -> int:
+    """H.264 requires even dimensions; round up if odd."""
+    return n if n % 2 == 0 else n + 1
+
+
+def _decode_raw(frame_struct) -> Image.Image | None:
+    """Decode an HF Image struct to a PIL Image (RGB). None when missing."""
+    if frame_struct is None:
+        return None
+    b = frame_struct.get("bytes")
+    if b is None:
+        return None
+    return Image.open(io.BytesIO(b)).convert("RGB")
+
+
+def _fit_to_canvas(img: Image.Image, canvas_w: int) -> np.ndarray:
+    """Letterbox `img` into a (canvas_w × PANEL_HEIGHT) gray canvas, preserving aspect.
+    Locking on the canvas dims is required because some builds have frames whose
+    source dimensions drift mid-build (e.g. thermal IR config changes)."""
+    sw, sh = img.size
+    scale = min(canvas_w / sw, PANEL_HEIGHT / sh)
+    new_w = max(1, round(sw * scale))
+    new_h = max(1, round(sh * scale))
+    fitted = img.resize((new_w, new_h), Image.BILINEAR)
+    canvas = Image.new("RGB", (canvas_w, PANEL_HEIGHT), (20, 20, 20))
+    canvas.paste(fitted, ((canvas_w - new_w) // 2, (PANEL_HEIGHT - new_h) // 2))
+    return np.asarray(canvas)
+
+
+def _placeholder(width: int) -> np.ndarray:
+    """Gray panel shown before the first frame of a kind has been seen."""
+    return np.full((PANEL_HEIGHT, width, 3), 20, dtype=np.uint8)
+
+
+def _iter_struct_batches(parquet_path: Path, columns: list[str]):
+    """Yield (n_rows, dict[col -> list[struct|None]]) per row-group batch."""
+    pf = pq.ParquetFile(parquet_path)
+    for batch in pf.iter_batches(columns=columns, batch_size=BATCH_ROWS):
+        cols = {c: batch.column(c).to_pylist() for c in columns}
+        yield batch.num_rows, cols
+
+
+def _open_writer(out_path: Path):
+    out_path.parent.mkdir(parents=True, exist_ok=True)
+    return iio.get_writer(
+        out_path, fps=FPS, codec="libx264",
+        macro_block_size=1, quality=6,  # ~CRF 23-ish; tuned for forward-fill redundancy
+    )
+
+
+def _probe_first_frame_width(parquet_path: Path, kind: str) -> int | None:
+    """Find the first non-null frame of `kind`, compute the locked canvas width
+    from its source aspect ratio (height = PANEL_HEIGHT). Returns None if no
+    frame of that kind ever appears."""
+    for n_rows, cols in _iter_struct_batches(parquet_path, [f"frame_{kind}"]):
+        for struct in cols[f"frame_{kind}"]:
+            img = _decode_raw(struct)
+            if img is not None:
+                sw, sh = img.size
+                return _even(max(2, round(sw * PANEL_HEIGHT / sh)))
+    return None
+
+
+def render_per_kind(parquet_path: Path, kind: str, out_path: Path) -> int:
+    """Write one MP4 of a single frame kind, forward-filled. Returns frame count."""
+    col = f"frame_{kind}"
+    width = _probe_first_frame_width(parquet_path, kind)
+    if width is None:
+        # No frames of this kind exist for this build; nothing meaningful to render.
+        print(f"  {kind:8s}: no frames of this kind, skipping")
+        return 0
+    last: np.ndarray | None = None
+    frames_written = 0
+    with _open_writer(out_path) as writer:
+        for n_rows, cols in _iter_struct_batches(parquet_path, [col]):
+            for struct in cols[col]:
+                img = _decode_raw(struct)
+                if img is not None:
+                    last = _fit_to_canvas(img, width)
+                writer.append_data(last if last is not None else _placeholder(width))
+                frames_written += 1
+    return frames_written
+
+
+def render_composite(parquet_path: Path, out_path: Path) -> int:
+    """Write the 1×3 composite. All three panels share the tick timeline."""
+    # Lock canvas widths up front so all subsequent frames letterbox into a fixed shape.
+    widths = {k: (_probe_first_frame_width(parquet_path, k) or PANEL_HEIGHT)
+              for k in FRAME_KINDS}
+    cols_to_read = [f"frame_{k}" for k in FRAME_KINDS]
+    last: dict[str, np.ndarray | None] = {k: None for k in FRAME_KINDS}
+    frames_written = 0
+    with _open_writer(out_path) as writer:
+        for n_rows, cols in _iter_struct_batches(parquet_path, cols_to_read):
+            for i in range(n_rows):
+                for k in FRAME_KINDS:
+                    img = _decode_raw(cols[f"frame_{k}"][i])
+                    if img is not None:
+                        last[k] = _fit_to_canvas(img, widths[k])
+                panels = [
+                    last[k] if last[k] is not None else _placeholder(widths[k])
+                    for k in FRAME_KINDS
+                ]
+                writer.append_data(np.hstack(panels))
+                frames_written += 1
+    return frames_written
+
+
+def process_build(build_id: int) -> None:
+    parquet_path = TICKS_DIR / f"{build_id:03d}.parquet"
+    if not parquet_path.exists():
+        print(f"build {build_id:03d}: no parquet, skipping")
+        return
+    build_dir = OUTPUT_DIR / f"{build_id:03d}"
+    print(f"build {build_id:03d}: rendering → {build_dir.relative_to(Path.cwd())}/")
+    for kind in FRAME_KINDS:
+        out = build_dir / f"{kind}.mp4"
+        n = render_per_kind(parquet_path, kind, out)
+        print(f"  {kind:8s}: {n:>7,} frames → {out.name} ({out.stat().st_size:,} bytes)")
+    out = build_dir / "composite.mp4"
+    n = render_composite(parquet_path, out)
+    print(f"  composite: {n:>7,} frames → {out.name} ({out.stat().st_size:,} bytes)")
+
+
+def main():
+    args = [int(a) for a in sys.argv[1:]]
+    targets = args or sorted(int(p.stem) for p in TICKS_DIR.glob("*.parquet"))
+    for bid in targets:
+        process_build(bid)
+
+
+if __name__ == "__main__":
+    main()

uv.lock

@@ -2,21 +2,158 @@ version = 1
 revision = 3
 requires-python = ">=3.13"
 
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+[package.optional-dependencies]
+ffmpeg = [
+    { name = "imageio-ffmpeg" },
+    { name = "psutil" },
+]
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+]
+
 [[package]]
 name = "inova-mk1-telemetry"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
+    { name = "imageio", extra = ["ffmpeg"] },
+    { name = "numpy" },
+    { name = "pillow" },
     { name = "polars" },
     { name = "pyarrow" },
 ]
 
 [package.metadata]
 requires-dist = [
+    { name = "imageio", extras = ["ffmpeg"], specifier = ">=2.34" },
+    { name = "numpy", specifier = ">=1.26" },
+    { name = "pillow", specifier = ">=10" },
     { name = "polars", specifier = ">=1.0" },
     { name = "pyarrow", specifier = ">=15" },
 ]
 
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