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https://github.com/johndoe6345789/AutoMetabuilder.git
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johndoe6345789
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.
24 lines
1.1 KiB
Python
24 lines
1.1 KiB
Python
"""Build workflow engine with dependencies."""
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from .workflow.engine import WorkflowEngine
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from .workflow.input_resolver import InputResolver
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from .workflow.loop_executor import LoopExecutor
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from .workflow.node_executor import NodeExecutor
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from .workflow.plugin_registry import PluginRegistry, load_plugin_map
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from .workflow.runtime import WorkflowRuntime
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from .workflow.tool_runner import ToolRunner
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def build_workflow_engine(workflow_config: dict, context: dict, logger):
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"""Assemble workflow engine dependencies."""
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runtime = WorkflowRuntime(context=context, store={}, tool_runner=None, logger=logger)
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tool_runner = ToolRunner(context["tool_map"], context["msgs"], logger)
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runtime.tool_runner = tool_runner
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plugin_registry = PluginRegistry(load_plugin_map())
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input_resolver = InputResolver(runtime.store)
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loop_executor = LoopExecutor(runtime, input_resolver)
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node_executor = NodeExecutor(runtime, plugin_registry, input_resolver, loop_executor)
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loop_executor.set_node_executor(node_executor)
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return WorkflowEngine(workflow_config, node_executor, logger)
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