Added sqlgrep
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osxphotos/sqlgrep.py
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55
osxphotos/sqlgrep.py
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"""Search through a sqlite database file for a given string"""
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import re
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import sqlite3
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from typing import Generator, List
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def sqlgrep(
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filename: str,
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pattern: str,
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ignore_case: bool = False,
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print_filename: bool = True,
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rich_markup: bool = False,
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) -> Generator[List[str], None, None]:
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"""grep through a sqlite database file for a given string
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Args:
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filename (str): The filename of the sqlite database file
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pattern (str): The pattern to search for
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ignore_case (bool, optional): Ignore case when searching. Defaults to False.
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print_filename (bool, optional): include the filename of the file with table name. Defaults to True.
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rich_markup (bool, optional): Add rich markup to mark found text in bold. Defaults to False.
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Returns:
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Generator which yields list of [table, column, row_id, value]
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"""
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flags = re.IGNORECASE if ignore_case else 0
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try:
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with sqlite3.connect(f"file:{filename}?mode=ro", uri=True) as conn:
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regex = re.compile(r"(" + pattern + r")", flags=flags)
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filename_header = f"{filename}: " if print_filename else ""
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conn.row_factory = sqlite3.Row
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cursor = conn.cursor()
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cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
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for tablerow in cursor.fetchall():
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table = tablerow[0]
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cursor.execute("SELECT * FROM {t}".format(t=table))
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for row_num, row in enumerate(cursor):
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for field in row.keys():
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field_value = row[field]
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if not field_value or type(field_value) == bytes:
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# don't search binary blobs
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next
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field_value = str(field_value)
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if re.search(pattern, field_value, flags=flags):
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if rich_markup:
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field_value = regex.sub(r"[bold]\1[/bold]", field_value)
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yield [
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f"{filename_header}{table}",
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field,
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str(row_num),
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field_value,
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]
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except sqlite3.DatabaseError as e:
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raise sqlite3.DatabaseError(f"{filename}: {e}")
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