# Browser media fixtures `tiny.webm` is an original, silent, one-second VP8 color test pattern generated for this repository. It contains no user media and is dedicated to the public domain under CC0-1.0. Reproduce with FFmpeg: ```sh ffmpeg -f lavfi -i testsrc=size=32x32:rate=4:duration=1 \ -c:v libvpx -pix_fmt yuv420p -an tiny.webm ``` Browser tests use the committed file; FFmpeg is not required to run them. # Local Inspect header fixtures `local-inspect/tiny.jpg` (48x32) and `local-inspect/tiny.webp` (40x24) are original synthetic FFmpeg color test patterns, under 4 KB, dedicated to the public domain under CC0-1.0. `tests/js/png-local-reader.test.js` reads their dimensions with the browser header reader and `tests/test_local_inspect_parity.py` checks the same two files against Pillow. Reproduce with FFmpeg: ```sh ffmpeg -f lavfi -i testsrc=size=48x32:rate=1 -frames:v 1 -q:v 10 tiny.jpg ffmpeg -f lavfi -i testsrc=size=40x24:rate=1 -frames:v 1 -c:v libwebp -quality 40 tiny.webp ``` # Local Inspect video fixtures `local-inspect/core-faststart.mp4`, `core-moov-end.mp4`, `core.mov`, `core.m4v`, `core.mkv`, `core-tags.webm`, `legacy-comment.mp4` and `legacy-comment.webm` are 0.2-second 16x16 black clips (each under 4 KB) carrying an original synthetic ComfyUI graph in their container tags, dedicated to the public domain under CC0-1.0. The `core-*` files carry one tag per key as core SaveVideo/SaveWEBM write them (MP4/MOV/M4V through `-movflags use_metadata_tags`; Matroska upper-cases the names); `core-faststart.mp4` also carries `parameters` and `comfyassets_prompt_pairs`. The `legacy-comment.*` files carry the old VideoHelperSuite `comment` JSON envelope (an ilst `©cmt` atom in MP4, a `COMMENT` tag in WebM). `video-tags-v1.json` records `ffprobe -show_entries format_tags -of json` for each file (ffmpeg 9.0.2); `tests/test_utils_video_metadata.py` `VideoFixtureFfprobeTests` re-checks it when ffprobe is installed, and `tests/js/workspace-local-video.test.js` plus `tests/test_local_inspect_parity.py` hold the browser video reader to the same maps. Reproduce with FFmpeg, from `tests/fixtures/local-inspect`: ```sh PROMPT='{"3":{"class_type":"KSampler","inputs":{"seed":7,"steps":20,"cfg":8.0,"sampler_name":"euler","scheduler":"normal","denoise":1.0,"model":["4",0],"positive":["6",0],"negative":["7",0],"latent_image":["5",0]}},"4":{"class_type":"CheckpointLoaderSimple","inputs":{"ckpt_name":"synthetic-v1.safetensors"}},"5":{"class_type":"EmptyLatentImage","inputs":{"width":512,"height":512,"batch_size":1}},"6":{"class_type":"CLIPTextEncode","inputs":{"text":"a red fox in snow, detailed fur","clip":["4",1]}},"7":{"class_type":"CLIPTextEncode","inputs":{"text":"blurry, lowres","clip":["4",1]}},"8":{"class_type":"VAEDecode","inputs":{"samples":["3",0],"vae":["4",2]}},"9":{"class_type":"SaveVideo","inputs":{"filename_prefix":"video/synthetic","video":["8",0]}}}' WORKFLOW='{"last_node_id":9,"nodes":[{"id":3,"type":"KSampler","widgets_values":[7,"fixed",20,8.0,"euler","normal",1.0]},{"id":6,"type":"CLIPTextEncode","widgets_values":["a red fox in snow, detailed fur"]},{"id":7,"type":"CLIPTextEncode","widgets_values":["blurry, lowres"]}],"links":[],"version":0.4}' PARAMETERS=$'a red fox in snow, detailed fur\nNegative prompt: blurry, lowres\nSteps: 20, Sampler: Euler, CFG scale: 8.0, Seed: 7, Size: 512x512' PAIRS='{"version":1,"nodes":{"6":{"records":[{"positive_text":"a red fox in snow, detailed fur","negative_text":"blurry, lowres","negative_effective_text":"blurry, lowres","prepend_text":"","append_text":""}]}}}' COMMENT=$(PROMPT="$PROMPT" WORKFLOW="$WORKFLOW" python3 -c 'import json,os; print(json.dumps({"prompt": os.environ["PROMPT"], "workflow": json.loads(os.environ["WORKFLOW"])}))') SRC=(-v quiet -y -f lavfi -i "color=c=black:s=16x16:d=0.2") ffmpeg "${SRC[@]}" -movflags use_metadata_tags+faststart -metadata prompt="$PROMPT" -metadata workflow="$WORKFLOW" -metadata parameters="$PARAMETERS" -metadata comfyassets_prompt_pairs="$PAIRS" core-faststart.mp4 ffmpeg "${SRC[@]}" -movflags use_metadata_tags -metadata prompt="$PROMPT" -metadata workflow="$WORKFLOW" core-moov-end.mp4 ffmpeg "${SRC[@]}" -movflags use_metadata_tags -metadata prompt="$PROMPT" -metadata workflow="$WORKFLOW" core.mov ffmpeg "${SRC[@]}" -movflags use_metadata_tags -metadata prompt="$PROMPT" -metadata workflow="$WORKFLOW" core.m4v ffmpeg "${SRC[@]}" -metadata prompt="$PROMPT" -metadata workflow="$WORKFLOW" core.mkv ffmpeg "${SRC[@]}" -c:v libvpx -metadata prompt="$PROMPT" -metadata workflow="$WORKFLOW" core-tags.webm ffmpeg "${SRC[@]}" -metadata comment="$COMMENT" legacy-comment.mp4 ffmpeg "${SRC[@]}" -c:v libvpx -metadata comment="$COMMENT" legacy-comment.webm for f in core-faststart.mp4 core-moov-end.mp4 core.mov core.m4v core.mkv core-tags.webm legacy-comment.mp4 legacy-comment.webm; do ffprobe -v quiet -show_entries format_tags -of json "$f" # -> video-tags-v1.json "fixtures"[f] = .format.tags done ``` # Local Inspect projection cases `local-inspect/projection-cases.json` holds synthetic record sets (prompt, workflow, parameters and pair-record texts, optional `record_formats`, a video `carrier_text` and `limited` records) that exercise every branch of the server's inspection projection: Python's Decimal spellings and exact-construction limits, the 4300-digit integer limit, duplicate keys, NaN/Infinity, the depth-64 and node ceilings, prompt node key filtering and the carrier rule. `records: null` stands for an unreadable file. `expect` pins both graph statuses; `needs` names an interpreter feature a case depends on. `tests/js/workspace-local-projection.test.js` runs them through `web/js/workspace/local-projection.mjs`, and `tests/test_local_inspect_parity.py` asserts that its answer equals `utils.inspection_response._metadata` byte for byte. All texts are original synthetic content, dedicated to the public domain under CC0-1.0. # Inspection parity fixtures `inspection_parity/` holds small synthetic PNGs (`f01b.png` ... `f24.png`, each under 32 KiB) and `vectors.json`, used by the #240 inspection parity tests. Every graph, prompt text, model name and filename prefix in them is original synthetic content written for this repository. Nothing comes from user output. They are dedicated to the public domain under CC0-1.0. `tests/inspection_parity.py` builds every fixture from code. It writes the `prompt` and `workflow` records the way core ComfyUI `SaveImage` does (Pillow `PngInfo.add_text`, `compress_level=4`, a 64x64 constant colour image), and splices extra raw `tEXt` chunks with real CRC32 for the duplicate-chunk shapes `f15` and `f16`. The larger shapes `f01`, `f04` and `f05` are built at test time instead of committed. Reproduce the committed files with: ```sh python3 -m tests.inspection_parity --write tests/fixtures/inspection_parity ``` `tests/test_inspection_parity_fixtures.py` compares the decoded text chunks with the builders (not bytes, because zlib output differs between platforms). `vectors.json` holds an `inspection` and a `default` vector for every fixture, committed or built at test time (test-time fixtures are built into a temporary directory). `inspection` is the workspace inspector path, with the facts the workspace shows. `default` pins only the resolver's default profile, run on the role records decoded from the PNG text chunks. Ingestion's own readers are covered by their own suites. The expectations start as the observed baseline. A change that alters an outcome edits the vector in the same commit. `tests/js/legacy-metadata-characterization.test.js` pins what the legacy viewers show on the same files.