mirror of
https://github.com/johndoe6345789/AutoMetabuilder.git
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git
877ba64de8
- Implement core components: CLI argument parsing, environment loading, GitHub service creation, and logging configuration. - Add support for OpenAI client setup and model resolution. - Develop SDLC context loader from GitHub and repository files. - Implement workflow context and engine builders. - Introduce major workflow packages: `game_tick_loop` and `contextual_iterative_loop`. - Update localization files with new package descriptions and labels. - Streamline web navigation by loading items from a dedicated JSON file.
65 lines
2.0 KiB
Python
65 lines
2.0 KiB
Python
"""Application runner."""
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import logging
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import os
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from . import load_messages
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from .cli_args import parse_args
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from .env_loader import load_env
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from .github_service import create_github_integration
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from .logging_config import configure_logging
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from .metadata_loader import load_metadata
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from .openai_factory import create_openai_client
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from .plugin_loader import load_plugins
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from .prompt_loader import load_prompt_yaml
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from .tool_map_builder import build_tool_map
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from .tool_policy_loader import load_tool_policies
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from .tool_registry_loader import load_tool_registry
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from .tools_loader import load_tools
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from .web.server import start_web_ui
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from .workflow_config_loader import load_workflow_config
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from .workflow_context_builder import build_workflow_context
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from .workflow_engine_builder import build_workflow_engine
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def run_app() -> None:
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"""Run the AutoMetabuilder CLI."""
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load_env()
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configure_logging()
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logger = logging.getLogger("autometabuilder")
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args = parse_args()
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if args.web:
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logger.info("Starting Web UI...")
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start_web_ui()
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return
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msgs = load_messages()
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token = os.environ.get("GITHUB_TOKEN")
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if not token:
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logger.error(msgs["error_github_token_missing"])
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return
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gh = create_github_integration(token, msgs)
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client = create_openai_client(token)
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prompt = load_prompt_yaml()
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metadata = load_metadata()
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tools = load_tools(metadata)
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tool_map = build_tool_map(gh, load_tool_registry())
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load_plugins(tool_map, tools)
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context_parts = {
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"args": args,
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"gh": gh,
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"msgs": msgs,
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"client": client,
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"tools": tools,
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"tool_map": tool_map,
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"prompt": prompt,
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"tool_policies": load_tool_policies()
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}
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workflow_context = build_workflow_context(context_parts)
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logger.debug("Workflow context ready with %s tools", len(tool_map))
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engine = build_workflow_engine(load_workflow_config(metadata), workflow_context, logger)
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engine.execute()
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