03a7ae1a59
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BJKMLHdxMwSUeYcdkwqX4W
109 lines
3.5 KiB
Python
109 lines
3.5 KiB
Python
"""Сериализация в json-совместимые значения и обратно (для golden-тестов и обмена)."""
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from collections.abc import Mapping
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from dataclasses import fields, is_dataclass
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from datetime import date
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from decimal import Decimal
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from enum import Enum
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from typing import Any
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from arm_statements.model import (
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Cell,
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CellValue,
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DocumentType,
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Evidence,
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FormCandidate,
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HeaderCells,
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Severity,
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Source,
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StatementWarning,
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)
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def _value_to_jsonable(value: CellValue) -> Any:
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"""Тег типа значения ячейки; bool проверяется раньше прочего (не подкласс Decimal/date, но явно)."""
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if value is None:
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return None
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if isinstance(value, bool):
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return {"bool": value}
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if isinstance(value, Decimal):
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return {"decimal": str(value)}
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return {"date": value.isoformat()}
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def _scalar_to_jsonable(obj: object) -> Any:
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if isinstance(obj, Enum):
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return obj.value
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if isinstance(obj, Decimal):
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return str(obj)
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if isinstance(obj, date):
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return obj.isoformat()
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return obj
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def to_jsonable(obj: object) -> Any:
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"""Dataclass пакета → json-совместимое значение."""
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if isinstance(obj, Cell):
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return {
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"text": obj.text,
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"value": _value_to_jsonable(obj.value),
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"confidence": obj.confidence,
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"ref": obj.ref,
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}
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if is_dataclass(obj) and not isinstance(obj, type):
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return {f.name: to_jsonable(getattr(obj, f.name)) for f in fields(obj)}
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if isinstance(obj, tuple | list):
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return [to_jsonable(item) for item in obj]
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return _scalar_to_jsonable(obj)
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def _value_from_dict(raw: Mapping[str, Any] | None) -> CellValue:
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if raw is None:
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return None
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if "decimal" in raw:
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return Decimal(raw["decimal"])
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if "date" in raw:
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return date.fromisoformat(raw["date"])
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if "bool" in raw:
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return bool(raw["bool"])
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raise ValueError(f"неизвестный тег значения ячейки: {sorted(raw)}")
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def _cell_from_dict(raw: Mapping[str, Any] | None) -> Cell | None:
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if raw is None:
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return None
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return Cell(
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text=raw["text"],
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value=_value_from_dict(raw["value"]),
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confidence=float(raw["confidence"]),
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ref=raw["ref"],
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)
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def _warning_from_dict(raw: Mapping[str, Any]) -> StatementWarning:
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return StatementWarning(
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code=raw["code"],
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severity=Severity(raw["severity"]),
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message=raw["message"],
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line_refs=tuple(raw.get("line_refs", ())),
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column_index=raw.get("column_index"),
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field=raw.get("field"),
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locator=raw.get("locator"),
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)
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def candidate_from_dict(data: Mapping[str, Any]) -> FormCandidate:
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"""Обратная к `to_jsonable` для кандидата."""
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type_hint = data["type_hint"]
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evidence = data["evidence"]
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return FormCandidate(
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source=Source(data["source"]),
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locator=data["locator"],
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type_hint=None if type_hint is None else DocumentType(type_hint),
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evidence=Evidence(okud=_cell_from_dict(evidence["okud"]), title=_cell_from_dict(evidence["title"])),
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header=HeaderCells(**{name: _cell_from_dict(raw) for name, raw in data["header"].items()}),
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rows=tuple(tuple(_cell_from_dict(raw) for raw in row) for row in data["rows"]),
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segment_breaks=tuple(data.get("segment_breaks", ())),
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warnings=tuple(_warning_from_dict(raw) for raw in data.get("warnings", ())),
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)
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