237 lines
6.7 KiB
Python
237 lines
6.7 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import os
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import hashlib
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from datetime import datetime
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import mysql.connector
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from mysql.connector import Error
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from dotenv import load_dotenv
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from pathlib import Path
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# ======================================================
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# Load environment
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# ======================================================
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env_path = Path(__file__).resolve().parent / ".env"
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load_dotenv(env_path)
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# ======================================================
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# MySQL connection
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# ======================================================
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def get_db_connection():
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conn = mysql.connector.connect(
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host=os.getenv("DB_MYSQL_HOST"),
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user=os.getenv("DB_MYSQL_ROOT"),
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password=os.getenv("DB_MYSQL_ROOT_PASS"),
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port=int(os.getenv("DB_MYSQL_PORT")),
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database="walkfiles",
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auth_plugin="mysql_native_password"
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)
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c = conn.cursor()
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c.execute("SET NAMES utf8mb4 COLLATE utf8mb4_general_ci")
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c.close()
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return conn
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# ======================================================
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# Helpers
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# ======================================================
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def file_md5(path, chunk_size=1024 * 1024):
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"""Compute content MD5 of a file in chunks."""
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md5 = hashlib.md5()
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with open(path, "rb") as f:
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while chunk := f.read(chunk_size):
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md5.update(chunk)
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return md5.hexdigest()
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def parse_size(size_str: str) -> int:
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"""
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Convert human input like:
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10MB, 500kB, 2GB
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into bytes. If already numeric, return as-is.
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"""
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s = size_str.strip().upper()
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if s.endswith("KB"):
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return int(float(s[:-2]) * 1024)
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if s.endswith("MB"):
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return int(float(s[:-2]) * 1024 * 1024)
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if s.endswith("GB"):
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return int(float(s[:-2]) * 1024 * 1024 * 1024)
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return int(s) # assume raw bytes
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# ======================================================
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# MAIN LOGIC
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# ======================================================
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def run_md5_calculator(device_name=None,
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device_id=None,
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extension=".pdf",
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max_size="50MB",
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path_prefix=None):
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"""
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Accepts:
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device_name="ANY" -> no device filter
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device_id="ANY" -> no device filter
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extension="ANY" -> no extension filter
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max_size="ANY" -> no size filter
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path_prefix="ANY" -> no path filter
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"""
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# ---------------------------------------------------------
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# Interpret ANY values into boolean filter logic
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# ---------------------------------------------------------
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# DEVICE filter
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filter_by_device = True
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if device_name == "ANY" or device_id == "ANY":
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filter_by_device = False
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elif device_id is None:
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# device_name provided -> resolve device_id
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if device_name is None:
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raise RuntimeError("You must provide device_name or device_id")
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cursor = None
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conn = get_db_connection()
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cursor = conn.cursor(dictionary=True)
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cursor.execute("SELECT id FROM devices WHERE name=%s", (device_name,))
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row = cursor.fetchone()
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cursor.close(); conn.close()
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if not row:
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raise RuntimeError(f"Device '{device_name}' not found")
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device_id = row["id"]
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# EXTENSION filter
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filter_by_extension = (extension != "ANY")
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# SIZE filter
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filter_by_size = (max_size != "ANY")
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if filter_by_size:
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max_bytes = parse_size(max_size)
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else:
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max_bytes = None
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# PATH filter
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filter_by_path = (path_prefix not in [None, "", "ANY"])
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if filter_by_path:
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cleaned_prefix = path_prefix.rstrip("\\/")
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else:
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cleaned_prefix = None
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print(
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f"\n🔍 Filtering:"
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f" device={'ANY' if not filter_by_device else device_id},"
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f" ext={extension},"
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f" max_size={max_size},"
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f" prefix={path_prefix}\n"
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)
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conn, cursor = None, None
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try:
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conn = get_db_connection()
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cursor = conn.cursor(dictionary=True)
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# ---------------------------------------------------------
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# Build WHERE clauses dynamically
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# ---------------------------------------------------------
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where_clauses = ["deleted = 0"]
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params = []
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if filter_by_device:
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where_clauses.append("device_id=%s")
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params.append(device_id)
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if filter_by_extension:
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where_clauses.append("path LIKE %s")
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params.append("%" + extension)
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if filter_by_size:
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where_clauses.append("size <= %s")
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params.append(max_bytes)
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if filter_by_path:
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where_clauses.append("path LIKE %s")
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params.append(cleaned_prefix + "%")
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sql = f"""
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SELECT id, path, size, modified, content_md5, md5_calculated
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FROM files
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WHERE {" AND ".join(where_clauses)}
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"""
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cursor.execute(sql, params)
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rows = cursor.fetchall()
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total = len(rows)
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print(f"📁 Files matching criteria: {total}")
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updates = 0
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# ---------------------------------------------------------
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# PROCESS FILES
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# ---------------------------------------------------------
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for row in rows:
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file_id = row["id"]
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path = row["path"]
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modified = row["modified"]
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prev_md5 = row["content_md5"]
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prev_calc = row["md5_calculated"]
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# Skip missing files
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if not os.path.isfile(path):
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print(f"⚠️ Missing on disk, skipping: {path}")
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continue
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need_md5 = (
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prev_md5 is None or
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prev_calc is None or
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prev_calc < modified
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)
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if not need_md5:
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continue
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print(f"🔄 Calculating MD5: {path}")
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new_md5 = file_md5(path)
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now = datetime.now().replace(microsecond=0)
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cursor.execute("""
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UPDATE files
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SET content_md5=%s,
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md5_calculated=%s
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WHERE id=%s
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""", (new_md5, now, file_id))
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updates += 1
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conn.commit()
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print("\n✅ MD5 calculation finished.")
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print(f" Updated files: {updates}")
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print(f" Skipped files: {total - updates}\n")
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except Exception as e:
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print("Error:", e)
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finally:
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if cursor: cursor.close()
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if conn: conn.close()
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# ======================================================
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# RUN EXAMPLE
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# ======================================================
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if __name__ == "__main__":
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# Example usage:
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run_md5_calculator(
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device_name="TWW11",
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extension="ANY",
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max_size="ANY",
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path_prefix=r"ANY"
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)
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