Files
cosma-qc/pyproject.toml
Silver Surfer b7d957c806 scaffold — FastAPI + SQLite + HTMX dashboard, ingest + dispatcher
- app/main.py : dashboard /, partials /partials/{jobs,monitor} (htmx polling)
- app/templates/ : index, jobs table, monitor card par worker
- app/static/style.css : thème sombre cohérent
- scripts/ingest.py : scan SSD d'acquisition, EXIF CreateDate → segments
  continus par (AUV, GoPro serial) avec seuil configurable
- scripts/dispatcher.py : polling queue, pick worker selon VRAM free,
  extraction ffmpeg + lingbot-map windowed --offload_to_cpu, progression DB
- DB : SQLite (acquisitions + jobs), lifecycle queued→extracting→running→done
- Workers par défaut : .87 (3060 12GB) + .84 (3090 24GB)

Contexte : QC terrain le jour-même (avant photogrammétrie à 30 jours),
plusieurs heures × 2 GoPros × 2-3 AUVs d'enregistrement à traiter en parallèle.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-21 09:52:41 +00:00

15 lines
265 B
TOML

[project]
name = "cosma-qc"
version = "0.1.0"
description = "COSMA post-acquisition QC pipeline"
requires-python = ">=3.11"
dependencies = [
"fastapi>=0.115",
"jinja2>=3.1",
"uvicorn[standard]>=0.30",
"python-multipart>=0.0.9",
]
[tool.uv]
package = false