71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
import json
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any
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from app.config import settings
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@dataclass(frozen=True)
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class Profile:
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code: str
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analysis_type: str
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directory: Path
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config: dict[str, Any]
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class ProfileStore:
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def __init__(self) -> None:
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self._profiles: dict[str, Profile] = {}
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def reload(self) -> None:
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profiles: dict[str, Profile] = {}
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if settings.profiles_dir.exists():
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for path in settings.profiles_dir.rglob("profile.json"):
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data = json.loads(path.read_text(encoding="utf-8"))
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code = str(data.get("code", "")).strip()
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analysis_type = str(data.get("analysisType", "")).strip()
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if not code or not analysis_type:
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raise ValueError(f"Invalid profile: {path}")
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if code in profiles:
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raise ValueError(f"Duplicate profile code: {code}")
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profiles[code] = Profile(code, analysis_type, path.parent, data)
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self._profiles = profiles
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def get(self, code: str, analysis_type: str) -> Profile:
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profile = self._profiles.get(code)
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if profile is None:
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raise KeyError(f"Analysis profile does not exist: {code}")
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if profile.analysis_type != analysis_type:
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raise ValueError(
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f"Profile {code} is for {profile.analysis_type}, not {analysis_type}"
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)
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return profile
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def status(self) -> list[dict[str, Any]]:
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result = []
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for profile in self._profiles.values():
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ready = True
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detail = "READY"
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if profile.analysis_type == "AUDIO_CLASSIFICATION":
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artifact = artifact_path(profile)
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ready = artifact.exists()
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detail = "READY" if ready else "WAITING_FOR_REFERENCE_AUDIO"
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result.append(
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{
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"code": profile.code,
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"analysisType": profile.analysis_type,
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"ready": ready,
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"detail": detail,
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}
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)
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return result
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def artifact_path(profile: Profile) -> Path:
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relative = profile.directory.relative_to(settings.profiles_dir)
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return settings.artifacts_dir / relative / "audio_features.npz"
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profile_store = ProfileStore()
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