hermes
075b72ec6c
- FastAPI + APScheduler + SQLite, single container - Daily generation at 06:00 Europe/Copenhagen + cold-start generation - Retry with backoff (3 attempts/15 min), stale fallback with banner - OpenAI-compatible endpoint via env (OPENAI_BASE_URL/MODEL/API_KEY) - docker-compose with named volume for joke persistence
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
import os
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from dataclasses import dataclass, field
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@dataclass
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class Settings:
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openai_base_url: str = field(
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default_factory=lambda: os.environ.get(
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"OPENAI_BASE_URL", "https://api.openai.com/v1"
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).rstrip("/")
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)
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openai_model: str = field(
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default_factory=lambda: os.environ.get("OPENAI_MODEL", "gpt-4o-mini")
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)
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openai_api_key: str = field(
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default_factory=lambda: os.environ.get("OPENAI_API_KEY", "")
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)
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db_path: str = field(
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default_factory=lambda: os.environ.get("DB_PATH", "/data/jokes.db")
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)
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timezone: str = field(
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default_factory=lambda: os.environ.get("TZ", "Europe/Copenhagen")
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)
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generate_hour: int = field(
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default_factory=lambda: int(os.environ.get("GENERATE_HOUR", "6"))
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)
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generate_minute: int = field(
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default_factory=lambda: int(os.environ.get("GENERATE_MINUTE", "0"))
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)
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max_attempts: int = field(
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default_factory=lambda: int(os.environ.get("MAX_ATTEMPTS", "3"))
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)
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retry_minutes: int = field(
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default_factory=lambda: int(os.environ.get("RETRY_MINUTES", "15"))
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)
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wikipedia_lang: str = field(
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default_factory=lambda: os.environ.get("WIKIPEDIA_LANG", "en")
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)
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settings = Settings()
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