#!/usr/bin/env python3 from __future__ import annotations import argparse import json from collections import Counter, defaultdict from pathlib import Path from typing import Any KNOWN_ENUM_VALUES: dict[str, dict[str, str]] = { "Вид": { "1": "Поле надписи", "2": "Поле ввода", "4": "Страница", "5": "Группа", "9": "Командная панель", "12": "Расширенная подсказка", "31": "Кнопка командной панели", "48": "Поле формы", "55": "Динамический список", "73": "Таблица формы", }, "ПоложениеЗаголовка": {"0": "Авто", "1": "Верх", "2": "Нет"}, "ПоложениеВКоманднойПанели": {"0": "Авто", "1": "В командной панели", "2": "В дополнительном подменю"}, "Отображение": {"3": "Авто"}, "ЦветФона": {"3": "Авто"}, "ЦветТекста": {"3": "Авто"}, "ЦветРамки": {"3": "Авто"}, } PROPERTY_ALIASES = { "group": "Группа", "id": "Идентификатор", "name": "Имя", "view": "Вид", "title": "Заголовок", "command_bar_location": "ПоложениеВКоманднойПанели", } def load_entries(report: dict[str, Any]) -> list[dict[str, Any]]: matrix = report.get("matrix") if isinstance(report.get("matrix"), dict) else {} entries = matrix.get("entries") if isinstance(matrix.get("entries"), list) else [] return [entry for entry in entries if isinstance(entry, dict)] def property_key(entry: dict[str, Any]) -> tuple[str, str, str, str]: prop = entry.get("property") if isinstance(entry.get("property"), dict) else {} target = entry.get("requested_target") if isinstance(entry.get("requested_target"), dict) else {} raw_name = str(prop.get("semantic_name") or prop.get("canonical_property") or prop.get("property") or "") name = PROPERTY_ALIASES.get(raw_name, raw_name) marker = str(target.get("marker") or "") index = str(prop.get("parameter_index") if prop.get("parameter_index") is not None else "") value_type = str(prop.get("value_type") or "") return name, marker, index, value_type def risk_class(name: str, value_type: str) -> str: normalized = PROPERTY_ALIASES.get(name, name) if normalized in {"Идентификатор", "Имя"} or "маркер" in normalized.casefold(): return "manual_only_identity_or_marker" if name == "Вид": return "structural_type_no_generic_write" if normalized == "Группа": return "reference_or_container_rule_required" if normalized in KNOWN_ENUM_VALUES: return "allowed_values_known_needs_smoke_rule" if value_type in {"enum_atom", "bool_or_enum_atom", "color_or_enum_atom"}: return "allowed_values_unknown" return "scalar_semantics_unknown" def main() -> int: parser = argparse.ArgumentParser(description="Build enum/scalar learning registry from 1C write matrix gaps.") parser.add_argument("--matrix-report", type=Path, required=True, help="Report produced by scripts/smoke_1c_write_matrix.py.") parser.add_argument("--output", type=Path, required=True, help="Output enum registry JSON path.") parser.add_argument("--sample-limit", type=int, default=8, help="Examples per enum/scalar group.") args = parser.parse_args() report = json.loads(args.matrix_report.read_text(encoding="utf-8")) groups: dict[tuple[str, str, str, str], dict[str, Any]] = {} for entry in load_entries(report): prop = entry.get("property") if isinstance(entry.get("property"), dict) else {} if entry.get("can_smoke"): continue if entry.get("reason") not in {"value_type_not_smoke_safe", "identity_or_binding_property"}: continue value_type = str(prop.get("value_type") or "") if value_type not in {"enum_atom", "bool_or_enum_atom", "color_or_enum_atom", "integer_atom", "scalar"}: continue key = property_key(entry) name, marker, index, _ = key row = groups.setdefault( key, { "property": name, "marker": marker or None, "parameter_index": index or None, "value_type": value_type, "risk": risk_class(name, value_type), "observed_values": Counter(), "reasons": Counter(), "sections": Counter(), "examples": [], }, ) target = entry.get("requested_target") if isinstance(entry.get("requested_target"), dict) else {} effective = entry.get("effective_target") if isinstance(entry.get("effective_target"), dict) else {} old = "" if prop.get("old") is None else str(prop.get("old")) row["observed_values"][old] += 1 row["reasons"][str(entry.get("reason") or "")] += 1 row["sections"][str(effective.get("section") or "")] += 1 if len(row["examples"]) < args.sample_limit: row["examples"].append( { "target": target.get("name") or target.get("path"), "requested_section": target.get("section"), "effective_section": effective.get("section"), "presentation": prop.get("presentation"), "semantic_name": prop.get("semantic_name"), "old": old, "write_path": prop.get("write_path"), "reason": entry.get("reason"), } ) properties = [] for row in groups.values(): known = KNOWN_ENUM_VALUES.get(str(row.get("property") or "")) properties.append( { **{key: value for key, value in row.items() if key not in {"observed_values", "reasons", "sections"}}, "observed_values": dict(row["observed_values"].most_common()), "known_values": known, "reasons": dict(row["reasons"]), "sections": dict(row["sections"]), "counts": {"entries": sum(row["observed_values"].values()), "observed_values": len(row["observed_values"])}, } ) properties.sort(key=lambda item: (-int(item["counts"]["entries"]), str(item.get("property")), str(item.get("marker")), str(item.get("parameter_index")))) result = { "schema": "onec_form_write_enum_registry.v1", "status": "ok", "source_report": str(args.matrix_report), "counts": { "groups": len(properties), "entries": sum(int(item["counts"]["entries"]) for item in properties), "by_risk": dict(Counter(str(item.get("risk")) for item in properties)), }, "properties": properties, } args.output.parent.mkdir(parents=True, exist_ok=True) args.output.write_text(json.dumps(result, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") print(json.dumps({"schema": result["schema"], "status": "ok", "counts": result["counts"], "path": str(args.output)}, ensure_ascii=False, indent=2)) return 0 if __name__ == "__main__": raise SystemExit(main())