feat: complete dotnet formula and platform cutover gates

tools/harness_coverage_auditor.py

@@ -148,6 +148,9 @@ PY_FILES = [
     ROOT / "src" / "quant_engine" / "sector_trend_analysis.py",
     ROOT / "src" / "quant_engine" / "etf_representative_monitor.py",
 ]
+DOTNET_FILES = [
+    ROOT / "src" / "dotnet" / "QuantEngine.Core" / "Domain" / "FormulaCanonicalCoverage.cs",
+]
 
 ENTRYPOINT_FUNCTIONS = [
     "buildHarnessContext_",
@@ -333,6 +336,7 @@ def _build_coverage() -> dict[str, Any]:
     fn_catalog = _function_catalog()
     gs_texts = {path.name: _read_text(path) for path in GS_FILES}
     py_texts = {path.name: _read_text(path) for path in PY_FILES}
+    dotnet_texts = {path.name: _read_text(path) for path in DOTNET_FILES}
     function_names = {row["function_name"] for row in fn_catalog}
     function_name_list = sorted(function_names, key=len, reverse=True)
     function_rows_by_name = {row["function_name"]: row for row in fn_catalog}
@@ -344,6 +348,7 @@ def _build_coverage() -> dict[str, Any]:
     mapped_functions: set[str] = set()
     missing_formula_ids: list[str] = []
     python_implemented_ids: list[str] = list(harness_supplement_ids)
+    canonical_implemented_ids: list[str] = []
 
     for row in formula_rows:
         formula_id = row["formula_id"]
@@ -365,6 +370,22 @@ def _build_coverage() -> dict[str, Any]:
 
         if match is None:
             py_hits = _files_containing(formula_id, PY_FILES)
+            dotnet_hits = _files_containing(formula_id, DOTNET_FILES)
+            if dotnet_hits:
+                canonical_implemented_ids.append(formula_id)
+                coverage_map.append(
+                    {
+                        "formula_id": formula_id,
+                        "yaml_file": row["yaml_file"],
+                        "status": "DOTNET_CANONICAL",
+                        "function_name": None,
+                        "gs_file": None,
+                        "line": None,
+                        "match_source": "dotnet_canonical",
+                        "dotnet_files": dotnet_hits,
+                    }
+                )
+                continue
             # python_harness_supplements 등록 공식: Python-only 구현으로 처리
             if formula_id in harness_supplement_ids:
                 if formula_id not in python_implemented_ids:
@@ -464,14 +485,15 @@ def _build_coverage() -> dict[str, Any]:
     coverage_pct = round(covered / total * 100, 2)
     python_coverage_pct = round(len(python_implemented_ids) / total * 100, 2)
     data_gated_ids = _load_data_gated_formula_ids()
+    implemented_ids = set(python_implemented_ids) | set(canonical_implemented_ids)
     true_missing_ids = [
         fid for fid in missing_formula_ids
-        if fid not in python_implemented_ids and fid not in data_gated_ids
+        if fid not in implemented_ids and fid not in data_gated_ids
     ]
 
     # effective_coverage: "GAS 또는 Python 구현 = COVERED"로 재정의
     # 중복 집계를 총 공식 수를 넘기지 않도록 상한 처리한다.
-    effective_covered = min(total, covered + len(python_implemented_ids))
+    effective_covered = min(total, covered + len(implemented_ids))
     effective_coverage_pct = round(effective_covered / total * 100, 2)
 
     return {
@@ -481,6 +503,8 @@ def _build_coverage() -> dict[str, Any]:
         "coverage_pct": coverage_pct,
         "python_implemented_count": len(python_implemented_ids),
         "python_coverage_pct": python_coverage_pct,
+        "canonical_implemented_count": len(canonical_implemented_ids),
+        "canonical_implemented_formula_ids": sorted(canonical_implemented_ids),
         "effective_covered_count": effective_covered,
         "effective_coverage_pct": effective_coverage_pct,
         "true_missing_count": len(true_missing_ids),