070e967833
- Add tests/conftest.py with make_settings() helper that maps legacy config parameter names to new nested OmegaConf structure - Update all test files to use the conftest fixture - All 73 tests now pass with new config system - Maintains backward compatibility via Settings class properties Also add AGENTS.md with comprehensive AI agent guidelines: - Project overview and key technologies - Directory structure reference - Development workflow and common tasks - Testing strategy and patterns - CI/CD pipeline overview - Common pitfalls and best practices - Debugging guide for agents working on the project
92 lines
3.1 KiB
Python
92 lines
3.1 KiB
Python
"""Shared test fixtures and utilities."""
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from steward.config import (
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AnalysisConfig,
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MemoryConfig,
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OpenAIConfig,
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Settings,
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TelegramConfig,
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ToolsConfig,
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)
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def make_settings(**kwargs) -> Settings:
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"""Create a Settings instance from old-style kwargs.
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Maps legacy parameter names to the new nested structure:
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- telegram_bot_token -> telegram.bot_token
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- telegram_allowed_user_ids -> telegram.allowed_user_ids
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- telegram_group_ids -> telegram.group_ids
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- openai_api_key -> openai.api_key
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- openai_base_url -> openai.base_url
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- openai_model -> openai.model
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- openai_system_prompt -> openai.system_prompt
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- analysis_target_url -> analysis.target_url
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- analysis_target_api_key -> analysis.target_api_key
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- analysis_cron_hour -> analysis.cron_hour
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- analysis_cron_minute -> analysis.cron_minute
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- thread_memory_path -> memory.thread_memory_path
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- mcp_server_url -> tools.mcp_server_url
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- mcp_server_api_key -> tools.mcp_server_api_key
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Args:
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**kwargs: Legacy-style configuration parameters
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Returns:
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Settings: A fully constructed Settings instance
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"""
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# Extract telegram config
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telegram_config = TelegramConfig(
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bot_token=kwargs.pop("telegram_bot_token", ""),
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allowed_user_ids=kwargs.pop("telegram_allowed_user_ids", []),
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group_ids=kwargs.pop("telegram_group_ids", []),
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)
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# Extract OpenAI config
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openai_config = OpenAIConfig(
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api_key=kwargs.pop("openai_api_key", ""),
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base_url=kwargs.pop("openai_base_url", "https://api.openai.com/v1"),
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model=kwargs.pop("openai_model", "gpt-4o"),
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system_prompt=kwargs.pop(
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"openai_system_prompt",
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(
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"You are Steward, a persistent, trustworthy AI-assisted personal operations platform. "
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"You reduce cognitive load by observing, remembering, planning, and proposing actions. "
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"You are conservative, transparent, and policy-aware. "
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"Always explain your reasoning."
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),
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),
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)
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# Extract analysis config
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analysis_config = AnalysisConfig(
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target_url=kwargs.pop("analysis_target_url", ""),
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target_api_key=kwargs.pop("analysis_target_api_key", ""),
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cron_hour=kwargs.pop("analysis_cron_hour", 8),
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cron_minute=kwargs.pop("analysis_cron_minute", 0),
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)
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# Extract memory config
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memory_config = MemoryConfig(
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thread_memory_path=kwargs.pop("thread_memory_path", "thread_memory.json"),
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)
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# Extract tools config
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tools_config = ToolsConfig(
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mcp_server_url=kwargs.pop("mcp_server_url", ""),
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mcp_server_api_key=kwargs.pop("mcp_server_api_key", ""),
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)
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# Any remaining kwargs should be rejected
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if kwargs:
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raise TypeError(f"Unexpected keyword arguments: {', '.join(kwargs.keys())}")
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# Create and return Settings instance
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return Settings(
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telegram=telegram_config,
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openai=openai_config,
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analysis=analysis_config,
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memory=memory_config,
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tools=tools_config,
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)
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