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dora-image-view/dataflow.yml
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cristhianandClaude Opus 5 22bd1e9e89
validate / dataflow (pull_request) Failing after 59m9s
validate / test (pull_request) Successful in 59m8s
add an in-repo synthetic source so the example needs no network
The example dataflow pulled opencv-video-capture and pyarrow-sender from
dora-hub, needed a webcam, and left `bbox` unwired because every bbox source
is a detector. examples/source.py emits an animated frame, the box around the
square in it, and a caption, so the dataflow exercises all three inputs with
nothing outside this checkout.

SOURCE_FRAMES bounds the run, which lets CI run the dataflow headless rather
than only validate it. Drops the dora-zed and dora-yolo wirings from the
README and trims AGENTS.md to what the code and README do not already say.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018WLVZCFFcCH1EpTXGfS9aD
2026-09-14 16:09:01 -05:00

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YAML

# The repository's own example, and its end-to-end test: a synthetic source
# feeding the viewer. Everything it needs is in this checkout -- no camera, no
# detector, no network -- so it is also what CI runs.
#
# Both nodes are built from the checkout with `path:` + `build:`, which is what
# lets `dora validate` pick up the typed contract in dora-node.yml. A consumer
# wires the viewer from a tag instead -- see README.md.
#
# Run it with `--uv` so every node gets its own managed environment.
strict_types: true
nodes:
- id: source
path: examples/source.py
# The source needs dora-rs, numpy and pyarrow; installing the project gives
# it exactly the versions pinned in uv.lock.
build: pip install .
inputs:
tick: dora/timer/millis/33
outputs:
- image
- bbox
- text
output_types:
image: std/core/v1/UInt8
text: std/core/v1/String
- id: plot
path: dora-plot
build: pip install .
inputs:
image: source/image
bbox: source/bbox
text: source/text