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6.4 kB
| """LangGraph definition β compliance workflow with parallel fan-out/fan-in and investigation loop.""" | |
| from __future__ import annotations | |
| from langgraph.graph import END, StateGraph | |
| from config import MAX_INVESTIGATION_ROUNDS | |
| from nodes.code_lookup import initial_code_lookup, targeted_code_lookup | |
| from nodes.compliance_analyst import compliance_analyst | |
| from nodes.compliance_planner import compliance_planner | |
| from nodes.cropper import ProgressCallback, execute_crops | |
| from nodes.annotator import annotate_crops | |
| from nodes.deliberation import deliberation | |
| from nodes.final_verdict import final_verdict | |
| from state import ComplianceState | |
| from tools.crop_cache import CropCache | |
| from tools.image_store import ImageStore | |
| def _build_compliance_graph( | |
| image_store: ImageStore, | |
| crop_cache: CropCache | None = None, | |
| progress_callback: ProgressCallback | None = None, | |
| ) -> StateGraph: | |
| """Build the compliance analysis graph with parallel fan-out/fan-in. | |
| Architecture: | |
| compliance_planner | |
| βββ execute_crops βββΊ annotate_crops (optional) βββ | |
| βββ initial_code_lookup ββββββββββββββββββββββββββ€ | |
| βΌ | |
| compliance_analyst ββββ | |
| β β β β | |
| β β β β | |
| (crops)(code)(done) β | |
| β β β β | |
| ββββββ β β | |
| β β β | |
| βΌ βΌ β | |
| deliberation (opt) β | |
| β β | |
| final_verdict ββββββββ | |
| β | |
| END | |
| """ | |
| # ---- Wrap nodes that need ImageStore / CropCache / callback ---- | |
| def _execute_crops(state: ComplianceState) -> dict: | |
| return execute_crops(state, image_store, crop_cache, progress_callback) | |
| def _annotate_crops(state: ComplianceState) -> dict: | |
| return annotate_crops(state, image_store) | |
| def _compliance_analyst(state: ComplianceState) -> dict: | |
| return compliance_analyst(state, image_store) | |
| def _deliberation(state: ComplianceState) -> dict: | |
| return deliberation(state, image_store) | |
| # ---- Build graph ---- | |
| graph = StateGraph(ComplianceState) | |
| # Add all nodes | |
| graph.add_node("compliance_planner", compliance_planner) | |
| graph.add_node("execute_crops", _execute_crops) | |
| graph.add_node("annotate_crops", _annotate_crops) | |
| graph.add_node("initial_code_lookup", initial_code_lookup) | |
| graph.add_node("compliance_analyst", _compliance_analyst) | |
| graph.add_node("targeted_code_lookup", targeted_code_lookup) | |
| graph.add_node("deliberation", _deliberation) | |
| graph.add_node("final_verdict", final_verdict) | |
| # ---- Edges ---- | |
| # Entry: planner is always first | |
| graph.set_entry_point("compliance_planner") | |
| # Parallel fan-out: planner β both execute_crops AND initial_code_lookup | |
| graph.add_edge("compliance_planner", "execute_crops") | |
| graph.add_edge("compliance_planner", "initial_code_lookup") | |
| # After crops: optionally annotate, then go to compliance_analyst | |
| def _after_crops(state: ComplianceState) -> str: | |
| if not state.get("enable_annotation", True): | |
| return "compliance_analyst" | |
| crop_tasks = state.get("crop_tasks", []) | |
| if not any(t.get("annotate") and t.get("annotation_prompt") for t in crop_tasks): | |
| return "compliance_analyst" | |
| return "annotate_crops" | |
| graph.add_conditional_edges( | |
| "execute_crops", | |
| _after_crops, | |
| {"annotate_crops": "annotate_crops", "compliance_analyst": "compliance_analyst"}, | |
| ) | |
| graph.add_edge("annotate_crops", "compliance_analyst") | |
| # Code lookup also feeds into compliance_analyst (fan-in) | |
| graph.add_edge("initial_code_lookup", "compliance_analyst") | |
| # After analysis: loop for more evidence, deliberate, or go to verdict | |
| def _after_analyst(state: ComplianceState) -> str: | |
| needs_more = state.get("needs_more_investigation", False) | |
| round_num = state.get("investigation_round", 0) | |
| max_rounds = state.get("max_rounds", MAX_INVESTIGATION_ROUNDS) | |
| has_additional_crops = bool(state.get("additional_crop_tasks", [])) | |
| has_additional_code = bool(state.get("additional_code_queries", [])) | |
| enable_consensus = state.get("enable_consensus", False) | |
| if needs_more and round_num < max_rounds: | |
| if has_additional_code: | |
| return "targeted_code_lookup" | |
| if has_additional_crops: | |
| return "execute_crops" | |
| if enable_consensus: | |
| return "deliberation" | |
| return "final_verdict" | |
| graph.add_conditional_edges( | |
| "compliance_analyst", | |
| _after_analyst, | |
| { | |
| "execute_crops": "execute_crops", | |
| "targeted_code_lookup": "targeted_code_lookup", | |
| "deliberation": "deliberation", | |
| "final_verdict": "final_verdict", | |
| }, | |
| ) | |
| # Targeted code lookup feeds back to analyst | |
| graph.add_edge("targeted_code_lookup", "compliance_analyst") | |
| # Deliberation β verdict | |
| graph.add_edge("deliberation", "final_verdict") | |
| # Verdict β END | |
| graph.add_edge("final_verdict", END) | |
| return graph | |
| def compile_compliance_graph( | |
| image_store: ImageStore, | |
| crop_cache: CropCache | None = None, | |
| progress_callback: ProgressCallback | None = None, | |
| ): | |
| """Return a compiled, ready-to-invoke compliance graph.""" | |
| return _build_compliance_graph(image_store, crop_cache, progress_callback).compile() | |