Initial commit: Conflict Checker

Cross-discipline design-contradiction checker for construction drawing sets. Standalone tool broken out from Iron_Bid; a pipeline stage may later fold back into Iron_Bid. Pipeline: PDF->images -> per-sheet assertion extraction -> deterministic clustering by location -> per-cluster reasoning -> report. Includes CLI (cli/run_check.py) and web UI (backend/main.py). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-03 00:22:02 +00:00
commit 1d248a8808
262 changed files with 8209 additions and 0 deletions
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+"""
+_serialize.py - Compact JSON views of pipeline state for the text QAQC stages.
+
+The full sheet/cluster objects carry base64 images and bookkeeping that would
+blow up prompt token counts. These helpers strip them to the fields the
+reasoning prompts actually need.
+"""
+
+import json
+from typing import Dict, List
+
+
+def slim_assertion(a: Dict) -> Dict:
+    out = {
+        "sheet_number": a.get("sheet_number"),
+        "discipline": a.get("discipline"),
+        "attribute": a.get("attribute"),
+        "value": a.get("value"),
+        "source_text": a.get("source_text"),
+        "location_key": a.get("location_key"),
+    }
+    if a.get("normalized_value") is not None:
+        out["normalized_value"] = a["normalized_value"]
+    return {k: v for k, v in out.items() if v is not None}
+
+
+def slim_sheets(sheets: List[Dict]) -> List[Dict]:
+    return [
+        {
+            "sheet_number": s.get("sheet_number"),
+            "discipline": s.get("discipline"),
+            "sheet_title": s.get("sheet_title"),
+            "level": s.get("level"),
+            "assertions": [
+                {
+                    "attribute": a.get("attribute"),
+                    "value": a.get("value"),
+                    "source_text": a.get("source_text"),
+                    "location_key": a.get("location_key"),
+                    **({"normalized_value": a["normalized_value"]}
+                       if a.get("normalized_value") is not None else {}),
+                }
+                for a in s.get("assertions", [])
+            ],
+        }
+        for s in sheets
+    ]
+
+
+def slim_clusters(clusters: List[Dict]) -> List[Dict]:
+    return [
+        {
+            "key": c.get("key"),
+            "location": c.get("location"),
+            "disciplines": c.get("disciplines"),
+            "kind": c.get("kind"),
+            "assertions": [slim_assertion(a) for a in c.get("assertions", [])],
+        }
+        for c in clusters
+    ]
+
+
+def dumps(obj) -> str:
+    return json.dumps(obj, ensure_ascii=True)