add markdown linting and cut AGENTS.md back to rules

AGENTS.md was a per-module tour of the code, which restated what the code says
and had already drifted: it described the example as emitting three inputs when
it emits five. It is now the conventions an agent cannot infer -- dora version,
uv, ruff, numpy docstrings, the platform requirement, act, and what not to do --
and nothing else. The gotchas it carried are explained at their point of use in
the code instead.

pymarkdown lints the markdown, configured in pyproject.toml and run in CI
beside ruff. It caught a fenced block with no language and an over-long table
row. ruff's pydocstyle convention moves to numpy.

GEMINI.md is removed.
This commit is contained in:
2026-09-15 06:03:40 -03:00
parent 7d9ebe8b38
commit 093715e78f
7 changed files with 329 additions and 76 deletions
+2
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@@ -69,6 +69,8 @@ jobs:
- run: uv run ruff check . - run: uv run ruff check .
- run: uv run pymarkdown scan *.md
- run: uv run pytest -q - run: uv run pytest -q
# strict_types: true in the dataflow turns a type warning into a non-zero # strict_types: true in the dataflow turns a type warning into a non-zero
+18 -67
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@@ -1,74 +1,25 @@
# AGENTS.md # AGENTS.md
This file provides guidance to AI coding assistants when working with code in this repository. Rules for AI coding assistants working in this repository.
## What this is - **dora >= 1.0.** Verified against `dora-cli 1.0.1`, which CI pins in
`.gitea/workflows/validate.yml`.
A dora-rs Python node that displays a video stream with overlays: it keeps one panel per frame stream (`image`, `depth`) plus a bbox set, a text string and the camera model, and every frame event redraws the lot as one side-by-side composite in an OpenCV window. It is a display sink — it produces no outputs. [README.md](README.md) documents the inputs, the encodings and the environment variables; this file covers only what the code and the README do not say. - **`uv` for everything:** `uv sync --group dev`, `uv run pytest`,
`uv run ruff check .`, `uv run python ...`. Never `pip` into the ambient
Everything the example dataflow needs is in this checkout. Do not reintroduce a dependency on another repository — the example must keep running with no camera, no detector and no network. environment.
- **`ruff` is the linter and the formatter.** `uv run ruff check .` must be clean.
**It is Python on purpose.** The node was first written in Rust against the `opencv` crate; that crate generates its bindings from the OpenCV headers installed on the build machine, so it needs `libopencv-dev` and `libclang-dev` on every machine and every architecture and does not cross-compile. Every dependency here ships prebuilt wheels for linux-x86_64, linux-aarch64 and macos-arm64, so `uv sync` is the whole install. Do not reintroduce a dependency that has to be compiled from source. - **Markdown is linted too.** `uv run pymarkdown scan *.md` must be clean. Its line
length is set in `pyproject.toml`.
## Commands - **numpy-style docstrings.**
- **Dependencies must ship prebuilt wheels for linux-x86_64, linux-aarch64 and
macos-arm64.** `uv sync` is the whole install: no system packages, no compiler.
- **Run the workflow locally with `act` before asking for a commit.** It lives in
`.gitea/workflows/`, which is not where `act` looks by default:
```bash ```bash
uv sync --group dev # deps plus pytest and ruff act pull_request -W .gitea/workflows/validate.yml \
uv run pytest && uv run ruff check . # no camera/dataflow/display needed -P ubuntu-latest=catthehacker/ubuntu:act-latest
dora run dataflow.yml --uv # the example, in a window
CI=true SOURCE_FRAMES=30 dora run dataflow.yml --uv # the same, headless
``` ```
`dora build --uv` / `dora run --uv` rewrites each manifest's `build: pip install .` to `uv pip install .` and gives the node its own managed venv under `.dora/python-envs/<node-id>/`, so what it imports at runtime is what was installed at build time. - **Do not commit or push.** Leave changes in the working tree and wait to be asked.
- **Do not mention AI tools in commit messages or documentation.**
## Architecture
- **`dora_image_view/main.py`** — Argument parsing and the dora event loop, nothing else. The env var wins over the CLI flag for `VIEW_WIDTH`/`VIEW_HEIGHT`. The upstream node spells these `PLOT_WIDTH`/`PLOT_HEIGHT`; they were renamed with the node, so a dataflow copied from upstream needs its env keys changed. `Node(args.name)` rather than `Node()` so the node also runs standalone as a dynamic node.
- **`dora_image_view/decode.py`** — `to_bgr()`: every supported encoding to a writable BGR array. `unpack()` accepts two payload shapes — the `std/media/v1/Image` struct (`width`, `height`, `encoding`, `data`), and the flat `UInt8` buffer described by message metadata that a `std/core/v1/UInt8` producer sends. A struct describes itself, so its metadata is ignored; everything after unpacking is common.
`IMAGE_TYPE` is the one definition of that struct; the example source and the tests build payloads from it rather than respelling the schema.
**Interop cost of the contract being `Image`.** Type compatibility is directional: `Image` satisfies a `Bytes` input, but a `std/core/v1/UInt8` output wired into an `std/media/v1/Image` input is a validate error. A producer still declaring `std/core/v1/UInt8` — dora-zed's `image_bgr` at time of writing — has to change its manifest, not just its payload, before it can feed this node. The decoder accepting the flat form does not rescue it: the failure is at validate, before anything runs. Two behaviours are deliberate, not bugs: `bgr8` **copies** (the payload may be a read-only view on shared memory, and the frame is annotated in place), and `yuv420` converts with `COLOR_YUV420p2RGB` rather than `...2BGR` — the upstream node converts to RGB and then displays it as BGR, and that channel swap is part of the behaviour callers already see.
- **`dora_image_view/view.py`** — `View` (the panels, the overlay state and the window) and `Bboxes`. `headless` (from `CI=true`) skips only the window: every input is still decoded and composed, which is what makes the node safe in a pipeline test. Panels are tiled in the fixed order in `PANELS`, not in arrival order, so a panel does not jump when a stream drops a frame. Boxes are drawn on the `image` panel before scaling, because they are in image pixels; the caption is drawn on the composite, because the panel it would otherwise land on may not be the leftmost one.
- **`dora_image_view/depth.py`** — `to_millimetres()` and `colorize()`. Decoding normalises to float32 millimetres with 0 for missing, so the colouring only ever sees one representation. Depth arrives as `std/media/v1/Image` with a single-channel encoding (`DEPTH_DTYPES`) because dora's registry has no depth type and a depth map *is* an image of distances — the same reading ROS takes. `units` stays in message metadata: the struct has no field for it. One thing is deliberate: the auto range is the valid pixels' full min/max, **not** a percentile. Trimming the tails looks safer and breaks the exact scene this node exists for — a small object in front of a large wall is a few percent of the pixels, so both tails land on the wall and the object clips away. A rendered check caught that; do not reintroduce percentile ranging.
- **`dora_image_view/payload.py`** — `as_float32()`: reinterprets a `uint8` payload rather than converting it, because a C++ node sending a raw byte slice produces a `UInt8` arrow array despite declaring `Float32`. Shared by `depth` and `intrinsics`, which both meet it.
- **`dora_image_view/intrinsics.py`** — `Intrinsics`, `parse()` for the `camera_info` payload and `from_metadata()` for the copy senders attach to each frame. Both exist because dora-zed publishes the same numbers twice, and the per-frame copy is the one that survives a viewer starting after the camera did — `camera_info` goes out **once per session**. A nine-element row-major K is accepted alongside the compact four values, since that is how ROS spells the same model. The node needs none of this to draw; it is held for whatever turns depth into 3D, and drawn so a wrong camera model is visible rather than merely plausible.
- **`dora_image_view/bbox.py`** — Parses the `bbox` struct into xyxy corners. `xywh` is centre-based (x, y are the box centre). `_flat()` unwraps the single-element list that `pa.array([{...}])` produces around each field, and reads a field stored flat as-is.
- **`tests/source.py`** — The synthetic source node: an animated frame, a depth map of the same scene (a flat wall with the square in front of it), the intrinsics, the box around the square, and a caption. A **test fixture**, not an example — it lives in `tests/` because that is what it is, and it publishes depth and camera_info because those inputs are *typed* and `dora validate --strict` fails on a typed input the dataflow does not wire. It is a dora node rather than a pytest case because it exists to exercise the wiring and the event loop, which only a running dataflow covers; pytest does not collect it, since the filename does not start with `test_`. `SOURCE_FRAMES` bounds the run, which is what lets CI wait for a clean exit instead of killing it on a timeout.
- **`dora-node.yml`** — Node manifest (`apiVersion: 1`). `dora validate` injects these types into any dataflow that reaches the node by `path:`; a `git:`-sourced node does **not** pick it up, which is why the example builds from the checkout. `image` and `text` carry type URNs naming the element type because each payload is a raw buffer described by its metadata, not an Arrow struct. `bbox` is deliberately **untyped**: senders disagree on whether its numeric fields are 32- or 64-bit, and the node reads either.
- **`dataflow.yml`** — The end-to-end test, with `strict_types: true`. It sits at the repository root, not beside the fixture, because a node's working directory is the dataflow file's directory and both nodes build with `pip install .`, which needs `pyproject.toml` there. The viewer is a `path:` node, so its manifest is injected; the source is typed inline with `output_types:` and the two are compared against each other. `bbox` is annotated on neither side, matching the manifest.
**One manifest, on purpose.** A `dora-node.yml` describes exactly one node (the schema is `NodeManifest`, singular) and is the unit `dora hub publish` operates on — it expects one beside `pyproject.toml`. This repository ships one node, so it has one manifest. The example source is a test fixture and gets none.
That is why the source runs as `path: python` + `args:` rather than `path: tests/source.py`. `dora validate` matches a manifest to a `path:` node **by entrypoint**, so a path node here would be tried against the root manifest, would fail to match its `dora-image-view` entrypoint, and would warn — and `strict_types: true` makes that warning fatal. Going through the interpreter leaves nothing to match. The cost is that the fixture gets no managed venv of its own (`.dora/python-envs/` stays empty for it) and runs against the project environment instead; the shipped node still uses `path:` + `build:`, which is the mechanism a consumer actually uses. Do not "fix" this back into a path node without re-reading this paragraph.
- **`.gitea/workflows/validate.yml`** — CI: lints, runs the unit tests, validates the dataflow and runs it headless. Needs no camera and no display. One job on purpose — the gates themselves take about a second, and are dwarfed by preparing the runner.
## Why CI installs libgl1
`opencv-python` links against libGL at import time, so `import cv2` fails on the bare runner image and CI installs the shared libraries first. At roughly sixteen seconds it is the most expensive step in the job, several times everything else combined.
`opencv-python-headless` needs none of them, but it also has no `imshow`, which is this node's whole purpose. Removing the step therefore means making the GUI wheel an optional extra — headless by default, `pip install .[gui]` for a real window — and that is a change to what a consumer installs, not just to CI. It has not been done.
## On `output_framing`
`output_framing: {image: arrow-ipc}` sets a per-output wire format — `raw` (the default, plain Arrow buffer layout) or `arrow-ipc` (self-describing: schema plus record batches). It is *not* required for images: a struct payload was verified to arrive identically under both framings between Python nodes, and `dora validate` does not ask for it when an output is annotated `std/media/v1/Image`. Reach for `arrow-ipc` when the wire has to be self-describing — crossing languages, or recording — not because a payload is an image.
## A caveat on typed optional inputs
`dora validate --strict` injects a contract type for *every* typed manifest input and then warns `input_types key "..." not found in inputs list` for any the dataflow does not wire. So a typed optional input forces the example dataflow to wire it. If a typed input is added to the manifest, either wire it in `dataflow.yml` or leave it untyped. This is why `tests/source.py` publishes a depth map and a camera_info at all: both are typed, so the fixture has to drive them, and a new output it sends needs a matching entry in the dataflow's `output_types:`.
## Checking what it draws
The gates prove the node does not crash, not that the picture is right — the colormap-ranging defect found while adding depth rendered as a plausible flat panel and passed every test. Compose a frame offline and look at it:
```python
view = View(headless=True)
view.panels["depth"] = depth.colorize(depth.to_millimetres(storage, metadata))
cv2.imwrite("/tmp/frame.png", view.compose())
```
`compose()` is public for exactly this: it returns the composite without needing a window.
## Rules
- Do not mention AI tools in commit messages or documentation.
-3
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@@ -1,3 +0,0 @@
# GEMINI.md
See [AGENTS.md](AGENTS.md) for repository guidance.
+2 -2
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@@ -74,7 +74,7 @@ and it is what makes a wiring mistake fail at build time instead of at runtime.
example source is typed inline in the dataflow with `output_types:`, so `dora validate` example source is typed inline in the dataflow with `output_types:`, so `dora validate`
checks the two against each other: checks the two against each other:
``` ```text
$ dora validate dataflow.yml $ dora validate dataflow.yml
node "view": injected 4 contract type(s) from .../dora-node.yml node "view": injected 4 contract type(s) from .../dora-node.yml
All type annotations OK. All type annotations OK.
@@ -113,7 +113,7 @@ no window. That is what makes it safe to run in a pipeline test.
|---|---|---| |---|---|---|
| `image` | `std/media/v1/Image` struct | none — the struct describes itself | | `image` | `std/media/v1/Image` struct | none — the struct describes itself |
| `depth` | `std/media/v1/Image` struct, one channel | `units` (defaults to `mm`) | | `depth` | `std/media/v1/Image` struct, one channel | `units` (defaults to `mm`) |
| `camera_info` | Flat `Float32` array, `[fx, fy, cx, cy]` or a 9-element K | `distortion`, `distortion_model` | | `camera_info` | `[fx, fy, cx, cy]` or a 9-element K | `distortion`, `distortion_model` |
| `bbox` | Arrow struct array, element `[0]` with fields `bbox`, `conf`, `labels` | `format` | | `bbox` | Arrow struct array, element `[0]` with fields `bbox`, `conf`, `labels` | `format` |
| `text` | Arrow array of size 1 | — | | `text` | Arrow array of size 1 | — |
+5
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@@ -12,6 +12,11 @@
# wires the viewer from a tag instead -- see README.md. # wires the viewer from a tag instead -- see README.md.
# #
# Run it with `--uv` so every node gets its own managed environment. # Run it with `--uv` so every node gets its own managed environment.
# strict_types makes a type warning a non-zero exit. It also means a *typed*
# manifest input must be wired below: `dora validate --strict` warns
# `input_types key "..." not found in inputs list` for any it leaves unwired, so
# a new typed input on the node has to be driven from tests/source.py with a
# matching entry in `output_types` here, or left untyped.
strict_types: true strict_types: true
nodes: nodes:
+11 -2
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@@ -24,7 +24,11 @@ dependencies = [
dora-image-view = "dora_image_view.main:main" dora-image-view = "dora_image_view.main:main"
[dependency-groups] [dependency-groups]
dev = ["pytest >= 8.1", "ruff >= 0.9"] dev = [
"pymarkdownlnt>=0.9.40",
"pytest >= 8.1",
"ruff >= 0.9",
]
[build-system] [build-system]
requires = ["hatchling"] requires = ["hatchling"]
@@ -37,8 +41,13 @@ packages = ["dora_image_view"]
extend-select = ["D", "I", "N", "RET", "UP"] extend-select = ["D", "I", "N", "RET", "UP"]
[tool.ruff.lint.pydocstyle] [tool.ruff.lint.pydocstyle]
convention = "pep257" convention = "numpy"
[tool.ruff.lint.per-file-ignores] [tool.ruff.lint.per-file-ignores]
# Test names are the documentation here; a docstring would only repeat them. # Test names are the documentation here; a docstring would only repeat them.
"tests/*" = ["D1"] "tests/*" = ["D1"]
[tool.pymarkdown]
# The prose here wraps near ruff's 88; 100 leaves room for a long link or table
# row without inviting unwrapped paragraphs.
plugins.md013.line_length = 100
Generated
+289
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@@ -6,6 +6,34 @@ resolution-markers = [
"python_full_version < '3.12'", "python_full_version < '3.12'",
] ]
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[[package]] [[package]]
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version = "0.1.0" version = "0.1.0"
@@ -31,6 +72,7 @@ dependencies = [
[package.dev-dependencies] [package.dev-dependencies]
dev = [ dev = [
{ name = "pymarkdownlnt" },
{ name = "pytest" }, { name = "pytest" },
{ name = "ruff" }, { name = "ruff" },
] ]
@@ -47,6 +89,7 @@ requires-dist = [
[package.metadata.requires-dev] [package.metadata.requires-dev]
dev = [ dev = [
{ name = "pymarkdownlnt", specifier = ">=0.9.40" },
{ name = "pytest", specifier = ">=8.1" }, { name = "pytest", specifier = ">=8.1" },
{ name = "ruff", specifier = ">=0.9" }, { name = "ruff", specifier = ">=0.9" },
] ]
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name = "pyarrow" name = "pyarrow"
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