65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
from codecs import decode
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from csv import DictReader
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from datetime import datetime
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from typing import Any, Dict, List, Union
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from bson import ObjectId
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from classes.importer.abstract import Importer
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from modules.database_api import col_entries
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class ImporterCSV(Importer):
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"""
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The ImporterCSV class represents the object with
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functionality to import/export garbage collection
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records and convert them to other object types
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from CSV files.
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"""
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def __init__(self):
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super(Importer, self).__init__()
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async def import_data(self, data: bytes) -> List[ObjectId]:
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entries: List[Dict[str, Any]] = list(
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DictReader(decode(data).split("\n"), delimiter=";")
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)
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for entry in entries:
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entry["locations"] = (
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[int(entry["locations"])]
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if "," not in entry["locations"]
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else [int(id) for id in entry["locations"].split(",")]
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)
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entry["garbage_type"] = int(entry["garbage_type"])
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for key in ("locations", "garbage_type", "date"):
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if (
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key not in entry
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or (key == "garbage_type" and not isinstance(entry[key], int))
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or (key == "locations" and not isinstance(entry[key], list))
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):
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raise ValueError
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if key == "date":
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try:
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datetime.fromisoformat(str(entry[key]))
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except (ValueError, TypeError) as exc:
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raise ValueError from exc
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entries_clean: List[Dict[str, Union[str, int, datetime]]] = [
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{
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"locations": entry["locations"],
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"garbage_type": entry["garbage_type"],
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"date": datetime.fromisoformat(str(entry["date"])),
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}
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for entry in entries
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]
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inserted = await col_entries.insert_many(entries_clean)
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return [] if inserted is None else inserted.inserted_ids
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async def export_data(self, data: Any) -> Any:
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return None
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