74 lines
2.0 KiB
Python
74 lines
2.0 KiB
Python
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from dataclasses import dataclass
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from datetime import datetime
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from typing import Any, List, Mapping, Union
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from bson import ObjectId
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from classes.enums.garbage_type import GarbageType
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from classes.location import Location
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@dataclass
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class GarbageEntry:
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__slots__ = (
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"_id",
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"locations",
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"garbage_type",
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"date",
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)
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_id: Union[ObjectId, None]
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locations: List[Location]
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garbage_type: GarbageType
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date: datetime
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@classmethod
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async def from_dict(cls, data: Mapping[str, Any]):
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"""Generate GarbageEntry object from the mapping provided
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### Args:
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* data (`Mapping[str, Any]`): Entry
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### Raises:
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* `KeyError`: Key is missing.
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* `TypeError`: Key of a wrong type provided.
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* `ValueError`: "date" is not a valid ISO string.
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### Returns:
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* `GarbageEntry`: Valid GarbageEntry object.
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"""
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for key in ("locations", "garbage_type", "date"):
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if key not in data:
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raise KeyError
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if key == "locations" and not isinstance(data[key], list):
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raise TypeError
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if key == "garbage_type" and not isinstance(data[key], int):
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raise TypeError
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if key == "date":
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datetime.fromisoformat(str(data[key]))
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locations = [
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await Location.get(location_id) for location_id in data["locations"]
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]
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garbage_type = GarbageType(data["garbage_type"])
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return cls(
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None,
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locations,
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garbage_type,
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data["date"],
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)
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@classmethod
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async def from_record(cls, data: Mapping[str, Any]):
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locations = [
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await Location.get(location_id) for location_id in data["locations"]
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]
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garbage_type = GarbageType(data["garbage_type"])
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return cls(
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data["_id"],
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locations,
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garbage_type,
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data["date"],
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)
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