Justus Kuhlmann
23b5d066f7
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47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
import datetime as dt
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from pathlib import Path
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from .tools import get_db_file
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import pandas as pd
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import sqlite3
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def has_valid_times(result: pd.Series) -> bool:
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# we expect created_at <= updated_at <= now
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created_at = dt.datetime.fromisoformat(result['created_at'])
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updated_at = dt.datetime.fromisoformat(result['updated_at'])
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if created_at > updated_at:
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return False
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if updated_at > dt.datetime.now():
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return False
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return True
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def are_keys_unique(db: Path, table: str, col: str) -> bool:
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conn = sqlite3.connect(db)
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c = conn.cursor()
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c.execute(f"SELECT COUNT( DISTINCT CAST(path AS nvarchar(4000))), COUNT({col}) FROM {table};")
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results = c.fetchall()[0]
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conn.close()
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return bool(results[0] == results[1])
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def check_db_integrity(path: Path) -> None:
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db = get_db_file(path)
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if not are_keys_unique(path / db, 'backlogs', 'path'):
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raise Exception("The paths the backlog table of the database links are not unique.")
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search_expr = "SELECT * FROM 'backlogs'"
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conn = sqlite3.connect(path / db)
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results = pd.read_sql(search_expr, conn)
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for _, result in results.iterrows():
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if not has_valid_times(result):
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raise ValueError(f"Result with id {result[id]} has wrong time signatures.")
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print("DB:\t✅")
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def full_integrity_check(path: Path) -> None:
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check_db_integrity(path)
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print("Full:\t✅")
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