From 7c63e12128345450c03255a55b71f5afe29ac405 Mon Sep 17 00:00:00 2001 From: lelo Date: Wed, 2 Apr 2025 09:54:58 +0000 Subject: [PATCH] cleanup --- convert_db.py | 48 ----------------------------------------------- transforme_sql.py | 42 ----------------------------------------- 2 files changed, 90 deletions(-) delete mode 100644 convert_db.py delete mode 100644 transforme_sql.py diff --git a/convert_db.py b/convert_db.py deleted file mode 100644 index fcf3834..0000000 --- a/convert_db.py +++ /dev/null @@ -1,48 +0,0 @@ -#!/usr/bin/env python3 -import sqlite3 -from datetime import datetime, timezone - -# Name of your SQLite database file -DB_NAME = 'access_log.db' - -def convert_naive_to_timezone_aware(naive_ts): - """ - Convert a naive ISO timestamp (assumed to be in local time) into a timezone-aware timestamp. - """ - try: - dt = datetime.fromisoformat(naive_ts) - except Exception as e: - print(f"Error parsing timestamp {naive_ts}: {e}") - return naive_ts # If parsing fails, return the original value - - # If the timestamp is naive (i.e., no tzinfo), make it timezone-aware by assuming it's local time. - if dt.tzinfo is None: - # Get the local timezone info using the current time's offset. - local_tz = datetime.now(timezone.utc).astimezone().tzinfo - dt = dt.replace(tzinfo=local_tz) - return dt.isoformat() - else: - # Timestamp is already timezone-aware - return naive_ts - -def update_database(): - conn = sqlite3.connect(DB_NAME) - cursor = conn.cursor() - - # Fetch all records' IDs and timestamps - cursor.execute("SELECT id, timestamp FROM file_access_log") - rows = cursor.fetchall() - updated_count = 0 - - for rec_id, ts in rows: - new_ts = convert_naive_to_timezone_aware(ts) - if new_ts != ts: - cursor.execute("UPDATE file_access_log SET timestamp = ? WHERE id = ?", (new_ts, rec_id)) - updated_count += 1 - - conn.commit() - conn.close() - print(f"Updated {updated_count} records to timezone-aware timestamps.") - -if __name__ == "__main__": - update_database() diff --git a/transforme_sql.py b/transforme_sql.py deleted file mode 100644 index 1ef9f9a..0000000 --- a/transforme_sql.py +++ /dev/null @@ -1,42 +0,0 @@ -import sqlite3 - -def transform_database(db_path): - # Connect to the SQLite database - conn = sqlite3.connect(db_path) - cursor = conn.cursor() - - # 1. Create the new table with the desired schema. - cursor.execute(''' - CREATE TABLE IF NOT EXISTS file_access_log_new ( - id INTEGER PRIMARY KEY AUTOINCREMENT, - timestamp TEXT, - rel_path TEXT, - ip_address TEXT, - user_agent TEXT, - device_id TEXT - ) - ''') - - # 2. Copy data from the old table, applying the following transformations: - # - Rename full_path to rel_path and remove '/mnt/' from its entries. - # - Omit the referrer column. - # - Copy ip_address into the new device_id column. - cursor.execute(''' - INSERT INTO file_access_log_new (id, timestamp, rel_path, ip_address, user_agent, device_id) - SELECT id, timestamp, REPLACE(full_path, '/mnt/', ''), ip_address, user_agent, ip_address - FROM file_access_log - ''') - - # 3. Drop the old table. - cursor.execute('DROP TABLE file_access_log') - - # 4. Rename the new table to use the original table's name. - cursor.execute('ALTER TABLE file_access_log_new RENAME TO file_access_log') - - # Commit the changes and close the connection. - conn.commit() - conn.close() - -if __name__ == "__main__": - # Replace 'your_database.db' with the path to your SQLite database file. - transform_database("access_log.db")