403 lines
16 KiB
Python
Executable File
403 lines
16 KiB
Python
Executable File
import os
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import json
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import sqlite3
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from datetime import datetime
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from time import monotonic
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import re
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from typing import Optional
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import helperfunctions as hf
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SEARCH_DB_NAME = 'search.db'
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ACCESS_LOG_DB_NAME = 'access_log.db'
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FOLDER_CONFIG = 'folder_secret_config.json'
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TRANSCRIPT_DIRNAME = "Transkription"
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TRANSCRIPT_EXT = ".md"
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IGNORED_DIRS = {TRANSCRIPT_DIRNAME, "@eaDir", ".app", "#recycle"}
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# Logging/progress tuning (keep output light by default)
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LOG_STRUCTURE_DEPTH = int(os.getenv("INDEX_LOG_STRUCTURE_DEPTH", "0") or 0)
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PROGRESS_EVERY_SECS = float(os.getenv("INDEX_PROGRESS_SECS", "30"))
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PROGRESS_EVERY_FILES = int(os.getenv("INDEX_PROGRESS_FILES", "5000"))
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MAX_ERROR_LOGS = int(os.getenv("INDEX_MAX_ERROR_LOGS", "5"))
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# Connect to the search database.
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search_db = sqlite3.connect(SEARCH_DB_NAME, check_same_thread=False)
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search_db.row_factory = sqlite3.Row
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# Open access_log.db in read-only mode.
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access_log_db = sqlite3.connect(f'file:{ACCESS_LOG_DB_NAME}?mode=ro', uri=True)
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access_log_db.row_factory = sqlite3.Row
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def log(message: str):
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"""Small helper to ensure console output is flushed immediately."""
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print(message, flush=True)
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def log_permission_error(path: str, stats: dict):
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"""Log permission errors sparingly to avoid noisy output."""
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stats["perm_errors"] += 1
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if stats["perm_errors"] <= MAX_ERROR_LOGS:
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log(f"Permission denied: {path}")
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elif stats["perm_errors"] == MAX_ERROR_LOGS + 1:
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log("Further permission errors suppressed.")
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def skip_dir(name: str) -> bool:
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"""Return True when a directory name should be skipped during traversal/logging."""
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return name.startswith('.') or name in IGNORED_DIRS
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def format_duration(seconds: float) -> str:
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total_secs = int(seconds)
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minutes, secs = divmod(total_secs, 60)
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return f"{minutes}m {secs:02d}s"
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def init_db():
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"""Initializes the database with the required schema."""
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cursor = search_db.cursor()
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# Create table with the new 'hitcount' and 'basefolder' columns.
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS files (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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relative_path TEXT,
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basefolder TEXT,
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filename TEXT,
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filetype TEXT,
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category TEXT,
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titel TEXT,
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name TEXT,
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performance_date TEXT,
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site TEXT,
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transcript TEXT,
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hitcount INTEGER DEFAULT 0,
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UNIQUE(relative_path, filename)
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)
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''')
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search_db.commit()
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# If the table already existed, try to add the new columns.
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# try:
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# cursor.execute("ALTER TABLE files ADD COLUMN category TEXT")
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# except sqlite3.OperationalError:
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# # Likely the column already exists, so we ignore this error.
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# pass
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search_db.commit()
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def scan_dir(directory: str, stats: dict):
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"""Iteratively scan directories using os.scandir for improved performance."""
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stack = [directory]
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while stack:
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current = stack.pop()
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stats["dirs"] += 1
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try:
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with os.scandir(current) as it:
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for entry in it:
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try:
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if entry.is_dir(follow_symlinks=False):
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# Skip unwanted directories immediately.
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if skip_dir(entry.name):
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stats["skipped_dirs"] += 1
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continue
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stack.append(entry.path)
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elif entry.is_file(follow_symlinks=False):
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yield entry
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except PermissionError:
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log_permission_error(entry.path, stats)
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except PermissionError:
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log_permission_error(current, stats)
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def get_hit_count(relative_path):
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"""Returns the hit count for a given file from the access log database."""
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cursor = access_log_db.cursor()
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cursor.execute("SELECT COUNT(*) AS hit_count FROM file_access_log WHERE rel_path = ?", (relative_path,))
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row = cursor.fetchone()
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return row["hit_count"] if row else 0
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def get_hit_counts_for_basefolder(basefolder: str) -> dict:
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"""Return a map of rel_path -> hit_count for all files under a basefolder."""
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cursor = access_log_db.cursor()
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pattern = f"{basefolder}/%"
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cursor.execute(
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"SELECT rel_path, COUNT(*) AS hit_count FROM file_access_log WHERE rel_path LIKE ? GROUP BY rel_path",
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(pattern,)
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)
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return {row["rel_path"]: row["hit_count"] for row in cursor.fetchall()}
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def build_transcript_index(transcript_dir: str, stats: dict):
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"""Return a dict of basename -> transcript path for a transcript directory."""
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try:
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with os.scandir(transcript_dir) as it:
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index = {}
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for entry in it:
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if not entry.is_file(follow_symlinks=False):
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continue
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name = entry.name
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if not name.endswith(TRANSCRIPT_EXT):
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continue
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index[name[:-len(TRANSCRIPT_EXT)]] = entry.path
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return index
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except FileNotFoundError:
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return None
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def read_text_file(path: str) -> Optional[str]:
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try:
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with open(path, 'r', encoding='utf-8') as handle:
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return handle.read()
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except UnicodeDecodeError:
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try:
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with open(path, 'r', encoding='cp1252') as handle:
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return handle.read()
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except Exception:
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return None
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except Exception:
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return None
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except PermissionError:
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log_permission_error(transcript_dir, stats)
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return None
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def log_structure(root_path, max_depth=None, show_files=False):
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"""
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Log folder structure up to max_depth levels (root = depth 1).
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If max_depth is None, traverse all depths. Files are logged only when show_files is True.
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"""
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depth_label = "all" if max_depth is None else f"<= {max_depth}"
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log(f"Folder structure (depth {depth_label}) for '{root_path}':")
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def _walk(path, depth):
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if max_depth is not None and depth > max_depth:
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return
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try:
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with os.scandir(path) as it:
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entries = sorted(it, key=lambda e: (not e.is_dir(follow_symlinks=False), e.name.lower()))
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for entry in entries:
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if entry.is_dir(follow_symlinks=False):
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if skip_dir(entry.name):
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continue
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indent = " " * (depth - 1)
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log(f"{indent}- {entry.name}/")
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_walk(entry.path, depth + 1)
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elif show_files:
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indent = " " * (depth - 1)
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log(f"{indent}- {entry.name}")
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except PermissionError:
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indent = " " * (depth - 1)
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log(f"{indent}- [permission denied]")
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_walk(root_path, depth=1)
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def log_file(relative_path: str, filename: str):
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"""Debug helper to log each file that is indexed."""
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log(f" file: {relative_path} ({filename})")
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def updatefileindex():
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total_start = monotonic()
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cursor = search_db.cursor()
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totals = {"folders": 0, "scanned": 0, "deleted": 0}
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# Load folder configuration from JSON file.
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with open(FOLDER_CONFIG, "r", encoding="utf-8") as f:
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config_data = json.load(f)
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# Process each configured base folder.
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for config in config_data:
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for folder in config.get("folders", []):
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totals["folders"] += 1
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foldername = folder.get("foldername")
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log(f"Processing folder: {foldername}")
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raw_folderpath = folder.get("folderpath")
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norm_folderpath = os.path.normpath(raw_folderpath)
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# Optional shallow structure log (off by default)
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if LOG_STRUCTURE_DEPTH > 0:
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log_structure(norm_folderpath, max_depth=LOG_STRUCTURE_DEPTH, show_files=False)
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# Precompute the length of the base folder path (plus one for the separator)
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base_prefix = norm_folderpath + os.sep
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base_len = len(base_prefix)
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# Prefetch hit counts for this basefolder to avoid per-file queries
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hitcount_map = get_hit_counts_for_basefolder(foldername)
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# Accumulate scanned file data and keys for this base folder.
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scanned_files = [] # Each entry: (relative_path, basefolder, filename, filetype, transcript, hitcount)
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current_keys = set()
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scan_stats = {"dirs": 0, "skipped_dirs": 0, "perm_errors": 0}
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transcript_cache = {}
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transcripts_read = 0
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transcript_errors = 0
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site = None
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if foldername == 'Gottesdienste Speyer':
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site = 'Speyer'
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elif foldername == 'Gottesdienste Schwegenheim':
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site = 'Schwegenheim'
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start_time = monotonic()
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last_log_time = start_time
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next_log_count = PROGRESS_EVERY_FILES
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scanned_count = 0
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last_log_count = 0
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extract_structure = hf.extract_structure_from_string
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extract_date = hf.extract_date_from_string
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for entry in scan_dir(norm_folderpath, scan_stats):
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transcript = None
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scanned_count += 1
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entry_path = entry.path
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# Get relative part by slicing if possible.
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if entry_path.startswith(base_prefix):
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rel_part = entry_path[base_len:]
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else:
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rel_part = os.path.relpath(entry_path, norm_folderpath)
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# Prepend the foldername so it becomes part of the stored relative path.
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rel_part = rel_part.replace(os.sep, '/')
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relative_path = f"{foldername}/{rel_part}"
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name_root, name_ext = os.path.splitext(entry.name)
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filetype = name_ext.lower()
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# Retrieve the hit count for this file from pre-fetched map.
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hit_count = hitcount_map.get(relative_path, 0)
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# Check for a corresponding transcript file in a sibling "Transkription" folder.
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parent_dir = os.path.dirname(entry_path)
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transcript_index = transcript_cache.get(parent_dir)
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if transcript_index is None and parent_dir not in transcript_cache:
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transcript_dir = os.path.join(parent_dir, TRANSCRIPT_DIRNAME)
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transcript_index = build_transcript_index(transcript_dir, scan_stats)
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transcript_cache[parent_dir] = transcript_index
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if transcript_index:
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transcript_path = transcript_index.get(name_root)
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if transcript_path:
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try:
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with open(transcript_path, 'r', encoding='utf-8') as tf:
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transcript = tf.read()
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transcripts_read += 1
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except Exception:
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transcript_errors += 1
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if transcript is None and filetype == '.sng':
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sng_text = read_text_file(entry_path)
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if sng_text is not None:
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transcript = sng_text
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transcripts_read += 1
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else:
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transcript_errors += 1
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category, titel, name = extract_structure(entry.name)
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performance_date = extract_date(relative_path)
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scanned_files.append((relative_path, foldername, entry.name, filetype, category, titel, name, performance_date, site, transcript, hit_count))
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current_keys.add((relative_path, entry.name))
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# Light progress output
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now = monotonic()
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if scanned_count >= next_log_count or (now - last_log_time) >= PROGRESS_EVERY_SECS:
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elapsed = max(now - start_time, 0.0001)
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window_elapsed = max(now - last_log_time, 0.0001)
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window_count = scanned_count - last_log_count
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window_rate = window_count / window_elapsed
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log(f" progress: {scanned_count} files, {scan_stats['dirs']} dirs, {window_rate:.1f} files/s")
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last_log_time = now
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last_log_count = scanned_count
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next_log_count = scanned_count + PROGRESS_EVERY_FILES
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# Progress indicator
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dir_count = scan_stats["dirs"]
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file_count = scanned_count
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elapsed = max(monotonic() - start_time, 0.0001)
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avg_rate = file_count / elapsed
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log(f"Scan summary for '{foldername}': {dir_count} dirs, {file_count} files, {avg_rate:.1f} files/s avg")
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if scan_stats["skipped_dirs"]:
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log(f" skipped dirs: {scan_stats['skipped_dirs']}")
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if scan_stats["perm_errors"]:
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log(f" permission errors: {scan_stats['perm_errors']}")
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if transcripts_read or transcript_errors:
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log(f" transcripts: {transcripts_read} read, {transcript_errors} errors")
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log("updating database...")
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scan_duration = format_duration(elapsed)
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# Remove database entries for files under this base folder that are no longer on disk.
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pattern = foldername + os.sep + '%'
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cursor.execute("SELECT id, relative_path, filename FROM files WHERE relative_path LIKE ?", (pattern,))
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db_rows = cursor.fetchall()
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keys_in_db = set((row["relative_path"], row["filename"]) for row in db_rows)
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keys_to_delete = keys_in_db - current_keys
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deleted_count = len(keys_to_delete)
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totals["deleted"] += deleted_count
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for key in keys_to_delete:
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cursor.execute("DELETE FROM files WHERE relative_path = ? AND filename = ?", key)
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# Bulk write the scanned files using INSERT OR REPLACE.
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cursor.executemany(
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"INSERT OR REPLACE INTO files (relative_path, basefolder, filename, filetype, category, titel, name, performance_date, site, transcript, hitcount) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
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scanned_files
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)
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# Commit changes after processing this base folder.
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search_db.commit()
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folder_scanned = scanned_count
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totals["scanned"] += folder_scanned
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log(f"Indexed {folder_scanned} files (deleted {deleted_count}) in '{foldername}'")
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log(f"Scan duration for '{foldername}': {scan_duration}")
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total_elapsed = max(monotonic() - total_start, 0.0001)
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log(f"Index update finished: folders={totals['folders']}, files indexed={totals['scanned']}, removed={totals['deleted']}")
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log(f"Total index duration: {format_duration(total_elapsed)}")
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return "File index updated successfully"
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def convert_dates(search_db,
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date_formats=('%d.%m.%Y', '%d.%m.%y')):
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"""
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Connects to the SQLite database at search_db, and for every row in table 'files':
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- Reads the date from performance_date (expects 'dd.mm.yyyy' or 'dd.mm.yy').
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- Parses it and reformats to ISO 'YYYY-MM-DD'.
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- Updates the row (using id as primary key).
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Only counts rows where the conversion was successful.
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"""
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# Regex to quickly filter out non-matching strings
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date_regex = re.compile(r'^\d{1,2}\.\d{1,2}\.\d{2,4}$')
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cur = search_db.cursor()
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# Fetch all rows with a non-null date
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cur.execute("SELECT id, performance_date FROM files")
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rows = cur.fetchall()
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converted_count = 0
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for pk, raw_date in rows:
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if not raw_date or not date_regex.match(raw_date):
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continue
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for fmt in date_formats:
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try:
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dt = datetime.strptime(raw_date, fmt)
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new_date = dt.strftime('%Y-%m-%d')
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# Only update if the reformatted date is different
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if new_date != raw_date:
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cur.execute(
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"UPDATE files SET performance_date = ? WHERE id = ?",
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(new_date, pk)
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)
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converted_count += 1
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break # stop trying other formats
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except ValueError:
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continue
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search_db.commit()
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print(f"Converted {converted_count} rows to ISO format.")
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if __name__ == "__main__":
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convert_dates(search_db)
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init_db() # Initialize the database schema if it doesn't exist
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updatefileindex() # Update the file index
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search_db.close() # Close the search database connection
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access_log_db.close() # Close the access log connection
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print("Database connections closed.")
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