bvandeusen
f01b59f390
The agent container (CUDA base, Python 3.10) crashed on startup with `NameError: name 'Config' is not defined` — an earlier `ruff --fix` unquoted the `from_env(cls) -> Config` self-reference, which is safe on CI's Python 3.14 (PEP 649 lazy annotations) but is evaluated at class-definition time on 3.10. CI lint/compile run on 3.14, so it slipped through. - config.py: `from __future__ import annotations` so the self-referential annotation is a string, never evaluated — works on 3.10 and every version. - agent/ruff.toml: pin the agent to `target-version = "py310"` (its real runtime) and inherit the root rules. Ruff now flags exactly this class as F821, so CI's lint lane catches it instead of shipping a broken image. (CI otherwise lints on 3.14, masking 3.10 issues.) - client.py: submit path now retries in-place. A dedicated session with a urllib3 Retry (connect/read/status, 0.5s backoff, 500/502/503/504, POST) so a momentary blip after the GPU work is done doesn't discard it and force a full re-download + recompute elsewhere. A duplicate submit after a lost response is a harmless 409 no-op. Lease/fetch keep the plain session + loop-level backoff. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
62 lines
3.4 KiB
Python
62 lines
3.4 KiB
Python
"""Agent config, all from env (the control container is configured at run)."""
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# Lazy annotations so the `from_env(cls) -> Config` self-reference is a string,
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# not evaluated at class-definition time — otherwise it NameErrors on the agent's
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# Python 3.10 (CI lints on 3.14, where PEP 649 hides this).
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from __future__ import annotations
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import os
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from dataclasses import dataclass
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@dataclass
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class Config:
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fc_url: str # base URL of the FabledCurator web service
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token: str # the bearer token from Settings → Tagging → GPU agent
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agent_id: str # identifies this agent's leases
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batch_size: int # jobs a worker leases per round
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concurrency: int # INITIAL parallel workers (tunable live from the UI)
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ccip_model: str # imgutils CCIP model name ("" → imgutils default)
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detector_level: str # imgutils person-detector level: n|s|m|x
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poll_idle_seconds: float # wait between empty leases
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embed_dtype: str # torch dtype for the crop embedder: float16|float32
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embed_model_override: str # force a SigLIP-family model ("" → use the one
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# the server announces in the lease)
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auto_start: bool # start the worker pool on boot (so a container restart
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# resumes processing without anyone clicking Start)
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auto_scale: bool # autoscale the worker count (throughput hill-climb)
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# Crop PROPOSERS (extra YOLO detectors that say where to crop). Each weight
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# spec is an ultralytics name | http(s) URL | "hf_repo::file" ("" = off).
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person_weights: str # general COCO person detector (Western/realistic figs)
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person_conf: float
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anatomy_weights: str # booru_yolo anime/furry/NSFW components
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anatomy_conf: float
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panel_weights: str # comic-panel detector
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panel_conf: float
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max_components: int # cap anatomy component crops per frame
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max_panels: int # cap panel crops per frame
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@classmethod
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def from_env(cls) -> Config:
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return cls(
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fc_url=os.environ.get("FC_URL", "http://localhost:8000").rstrip("/"),
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token=os.environ.get("FC_TOKEN", ""),
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agent_id=os.environ.get("AGENT_ID", "desktop-agent"),
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batch_size=int(os.environ.get("BATCH_SIZE", "4")),
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concurrency=int(os.environ.get("CONCURRENCY", "1")),
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ccip_model=os.environ.get("CCIP_MODEL", ""),
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detector_level=os.environ.get("DETECTOR_LEVEL", "m"),
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poll_idle_seconds=float(os.environ.get("POLL_IDLE_SECONDS", "10")),
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embed_dtype=os.environ.get("SIGLIP_DTYPE", "float16"),
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embed_model_override=os.environ.get("EMBED_MODEL_NAME", ""),
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auto_start=os.environ.get("AUTO_START", "").lower() in ("1", "true", "yes"),
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auto_scale=os.environ.get("AUTO_SCALE", "true").lower() in ("1", "true", "yes"),
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person_weights=os.environ.get("PERSON_WEIGHTS", "yolo11n.pt"),
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person_conf=float(os.environ.get("PERSON_CONF", "0.35")),
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anatomy_weights=os.environ.get("ANATOMY_WEIGHTS", ""),
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anatomy_conf=float(os.environ.get("ANATOMY_CONF", "0.30")),
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panel_weights=os.environ.get("PANEL_WEIGHTS", ""),
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panel_conf=float(os.environ.get("PANEL_CONF", "0.30")),
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max_components=int(os.environ.get("MAX_COMPONENTS", "8")),
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max_panels=int(os.environ.get("MAX_PANELS", "8")),
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)
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