Jason Woltje
88953fc998
Implements the Coordinator class with main orchestration loop: - Async loop architecture with configurable poll interval - process_queue() method gets next ready issue and spawns agent (stub) - Graceful shutdown handling with stop() method - Error handling that allows loop to continue after failures - Logging for all actions (start, stop, processing, errors) - Integration with QueueManager from #159 - Active agent tracking for future agent management Configuration settings added: - COORDINATOR_POLL_INTERVAL (default: 5.0s) - COORDINATOR_MAX_CONCURRENT_AGENTS (default: 10) - COORDINATOR_ENABLED (default: true) Tests: 27 new tests covering all acceptance criteria Coverage: 92% overall (100% for coordinator.py) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
43 lines
996 B
Python
43 lines
996 B
Python
"""Configuration management for mosaic-coordinator."""
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables."""
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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case_sensitive=False,
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extra="ignore",
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)
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# Gitea Configuration
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gitea_webhook_secret: str
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gitea_url: str = "https://git.mosaicstack.dev"
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# Anthropic API
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anthropic_api_key: str
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# Server Configuration
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host: str = "0.0.0.0"
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port: int = 8000
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# Logging
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log_level: str = "info"
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# Coordinator Configuration
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coordinator_poll_interval: float = 5.0
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coordinator_max_concurrent_agents: int = 10
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coordinator_enabled: bool = True
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def get_settings() -> Settings:
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"""Get settings instance (lazy loaded)."""
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return Settings() # type: ignore[call-arg]
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# Global settings instance
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settings = get_settings()
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