143 lines
4.4 KiB
Python
143 lines
4.4 KiB
Python
from datetime import datetime
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import re
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import os
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import sqlite3
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from datetime import datetime, timedelta
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log_db = sqlite3.connect("access_log.db", check_same_thread=False)
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def extract_date_from_string(string_with_date):
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# grab X.Y.Z where X,Y,Z are 1–4 digits
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m = re.search(r'(\d{1,4}\.\d{1,2}\.\d{1,4})', string_with_date)
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if not m:
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return None
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date_str = m.group(1)
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parts = date_str.split('.')
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# 1) Unambiguous “last group = YYYY”
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if len(parts) == 3 and len(parts[2]) == 4:
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fmt = '%d.%m.%Y'
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# 2) Unambiguous “first group = YYYY”
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elif len(parts) == 3 and len(parts[0]) == 4:
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fmt = '%Y.%m.%d'
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# 3) Ambiguous “XX.XX.XX” → prefer DD.MM.YY, fallback to YY.MM.DD
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elif len(parts) == 3 and all(len(p) == 2 for p in parts):
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# try last-group-as-year first
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try:
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dt = datetime.strptime(date_str, '%d.%m.%y')
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return dt.strftime('%Y-%m-%d')
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except ValueError:
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# fallback to first-group-as-year
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fmt = '%y.%m.%d'
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else:
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# optional: handle ISO with dashes
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if '-' in date_str:
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try:
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dt = datetime.strptime(date_str, '%Y-%m-%d')
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return dt.strftime('%Y-%m-%d')
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except ValueError:
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return None
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return None
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# parse with whichever fmt we settled on
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try:
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dt = datetime.strptime(date_str, fmt)
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return dt.strftime('%Y-%m-%d')
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except ValueError:
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return None
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def extract_structure_from_string(input_string):
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# extract category and titel from filename
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filename_ext = os.path.splitext(input_string)[0]
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left_side, right_side = filename_ext.split('-', 1) if '-' in filename_ext else (filename_ext, None)
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try:
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int(left_side.strip())
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# first part is only a number
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previous_right_side = right_side
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left_side, right_side = previous_right_side.split('-', 1) if '-' in previous_right_side else (previous_right_side, None)
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except:
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# first part not a number
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pass
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if 'predig' in left_side.lower():
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category = 'Predigt'
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elif 'wort' in left_side.lower() or 'einladung' in left_side.lower():
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category = 'Vorwort'
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elif 'chor' in left_side.lower():
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category = 'Chor'
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elif 'orchester' in left_side.lower():
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category = 'Orchester'
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elif 'gruppenlied' in left_side.lower() or 'jugendlied' in left_side.lower():
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category = 'Gruppenlied'
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elif 'gemeinsam' in left_side.lower() or 'gesang' in left_side.lower() or 'lied' in left_side.lower():
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category = 'Gemeinsamer Gesang'
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elif 'gedicht' in left_side.lower():
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category = 'Gedicht'
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elif 'instrumental' in left_side.lower() or 'musikstück' in left_side.lower():
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category = 'Instrumental'
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else:
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category = None
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if right_side:
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titel, name = right_side.split('-', 1) if '-' in right_side else (right_side, None)
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if category == 'Predigt' or category == 'Vorwort' or category == 'Gedicht':
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if not name: # kein Titel, nur Name
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name = titel
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titel = None
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else:
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titel = None
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name = None
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return category, titel, name
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def generate_top_list(category):
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now = datetime.now()
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# We'll compare the timestamp
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start_dt = now - timedelta(days=30)
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start_str = start_dt.isoformat()
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# Filter for mimes that start with the given type
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params_for_filter = (start_str,)
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# 1. Top files by access count
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query = f'''
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SELECT rel_path, COUNT(*) as access_count
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FROM file_access_log
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WHERE timestamp >= ? AND mime LIKE 'audio/%'
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GROUP BY rel_path
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ORDER BY access_count DESC
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LIMIT 1000
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'''
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with log_db:
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cursor = log_db.execute(query, params_for_filter)
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rows = cursor.fetchall()
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# Convert rows to a list of dictionaries and add category
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rows = [
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{
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'rel_path': rel_path,
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'access_count': access_count,
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'category': extract_structure_from_string(rel_path)[0]
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}
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for rel_path, access_count in rows
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]
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rows = [r for r in rows if r['category'] == category][:20]
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filelist = [
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{
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'name': rel_path.split('/')[-1],
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'path': rel_path,
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'file_type': 'music'
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}
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for rel_path in [r['rel_path'] for r in rows]
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]
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return filelist
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