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50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
import os
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from dataclasses import dataclass
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from dotenv import load_dotenv
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load_dotenv()
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GOOGLE_SCOPES = (
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"https://www.googleapis.com/auth/gmail.modify",
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"https://www.googleapis.com/auth/calendar.readonly",
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)
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@dataclass(frozen=True)
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class Settings:
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google_client_secrets_file: str
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google_token_file: str
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gmail_scan_interval_minutes: int
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gmail_query: str
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agent_api_key: str
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llm_api_key: str
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llm_model: str
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llm_base_url: str | None
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llm_timeout_seconds: float
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llm_fallback_to_rules: bool
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log_level: str
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def get_settings() -> Settings:
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llm_base_url = os.getenv("LLM_BASE_URL", "").strip()
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return Settings(
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google_client_secrets_file=os.getenv("GOOGLE_CLIENT_SECRETS_FILE", "credentials.json"),
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google_token_file=os.getenv("GOOGLE_TOKEN_FILE", "token.json"),
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gmail_scan_interval_minutes=int(os.getenv("GMAIL_SCAN_INTERVAL_MINUTES", "5")),
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gmail_query=os.getenv(
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"GMAIL_QUERY", "in:inbox -label:AgentProcessed newer_than:7d"
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),
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agent_api_key=os.getenv("AGENT_API_KEY", ""),
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llm_api_key=os.getenv("LLM_API_KEY", ""),
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llm_model=os.getenv("LLM_MODEL", "gpt-4.1-mini"),
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llm_base_url=llm_base_url or None,
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llm_timeout_seconds=float(os.getenv("LLM_TIMEOUT_SECONDS", "20")),
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llm_fallback_to_rules=_as_bool(os.getenv("LLM_FALLBACK_TO_RULES", "false")),
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log_level=os.getenv("LOG_LEVEL", "INFO"),
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)
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def _as_bool(value: str) -> bool:
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return value.strip().lower() in {"1", "true", "yes", "on"}
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