root
9f85908ff3
- Modernized the frontend with HTMX for server-driven UI and Alpine.js for client state. - Refactored anime, player, and recommendation logic into modular routers. - Updated README.md to reflect the latest project state and technologies (v2.4). - Added Plyr.io for an improved streaming experience. - Improved project structure with componentized templates. - Added Playwright and Vitest configuration for frontend testing.
365 lines
15 KiB
Python
365 lines
15 KiB
Python
"""Generate personalized anime recommendations based on download history"""
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import re
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from pathlib import Path
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from collections import Counter
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from typing import List, Dict, Set, Optional
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from datetime import datetime, timedelta
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import json
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from app.recommendations import AnimeReleasesFetcher
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class DownloadAnalyzer:
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"""Analyze download history to extract preferences"""
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def __init__(self, download_dir: str = "downloads"):
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self.download_dir = Path(download_dir)
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self._history_cache = None
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self._cache_time = None
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self._cache_duration = timedelta(minutes=30)
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def _parse_anime_name(self, filename: str) -> Optional[str]:
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"""
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Extract anime name from filename
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Examples:
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"Naruto Shippuden - Episode 123.mp4" -> "Naruto Shippuden"
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"One Piece S01E01.mkv" -> "One Piece"
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"[FanSub] Demon Slayer - 05 [1080p].mp4" -> "Demon Slayer"
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"""
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# Remove extension
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name = filename.rsplit('.', 1)[0] if '.' in filename else filename
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# Remove common patterns
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patterns_to_remove = [
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r'\[.*?\]', # [Group], [1080p], etc.
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r'\(.*?\)', # (Group), (Uncensored), etc.
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r'[-_ ]?(E|Ep|Episode|Épisode)?[-_: ]?\d+', # Episode numbers
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r'[-_ ]?S\d{2}E\d{2}', # S01E01 format
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r'[-_ ]?(Saison|Season)[-_: ]?\d+', # Season indicators
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r'[-_ ]?\d{3,4}p', # Quality (1080p, 720p)
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r'[-_ ]?(VOSTFR|VF|MULTI|FR|SUB)', # Language tags
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r'[-_ ]?(BD|BluRay|DVD|WEB)', # Source tags
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r'[-_ ]?(x264|x265|H\.264|H\.265)', # Codec
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]
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for pattern in patterns_to_remove:
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name = re.sub(pattern, '', name, flags=re.IGNORECASE)
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# Clean up
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name = re.sub(r'[-_]+', ' ', name) # Replace hyphens/underscores with space
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name = re.sub(r'\s+', ' ', name) # Multiple spaces to single space
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name = name.strip()
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# Only return if it looks like an anime name (has letters and reasonable length)
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if len(name) >= 2 and any(c.isalpha() for c in name):
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return name
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return None
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def _extract_keywords(self, filename: str) -> Set[str]:
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"""Extract potential genre/keyword indicators from filename"""
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keywords = set()
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# Common genre/keyword patterns in filenames
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patterns = {
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'action': r'(action|combat|fight)',
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'adventure': r'(adventure|aventure)',
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'comedy': r'(comedy|comédie|funny)',
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'fantasy': r'(fantasy|fantastique|magie|magic)',
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'romance': r'(romance|love|amour)',
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'horror': r'(horror|horreur|scary)',
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'sci-fi': r'(sci-fi|science\s*fiction|space|meccha)',
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'slice_of_life': r'(slice\s*of\s*life|vie|school|lycée|école)',
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'sports': r'(sport|football|basket|tennis)',
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'supernatural': r'(supernatural|super naturel|power|pouvoir)',
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'isekai': r'(isekai|another\s*world|reincarn|transport)',
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'demon': r'(demon|devil|slime|ma.*ou)',
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'game': r'(game|gaming|esport|rpg)',
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}
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filename_lower = filename.lower()
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for keyword, pattern in patterns.items():
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if re.search(pattern, filename_lower):
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keywords.add(keyword)
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return keywords
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def analyze_downloads(self) -> Dict:
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"""
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Analyze download directory to extract preferences
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Returns:
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Dict with:
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- anime_list: List of downloaded anime names
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- genres: Counter of extracted genres
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- total_count: Total number of anime files
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- recent: Most recently downloaded anime (last 10)
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"""
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import logging
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logger = logging.getLogger(__name__)
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now = datetime.now()
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# Check cache
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if self._history_cache and self._cache_time:
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if now - self._cache_time < self._cache_duration:
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return self._history_cache
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if not self.download_dir.exists():
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logger.warning(f"Download directory does not exist: {self.download_dir}")
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return {
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'anime_list': [],
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'genres': Counter(),
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'total_count': 0,
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'recent': []
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}
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video_extensions = {'.mp4', '.mkv', '.avi', '.mov', '.wmv', '.flv', '.webm'}
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anime_names = []
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all_genres = Counter()
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files_with_dates = []
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for file_path in self.download_dir.iterdir():
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if file_path.is_file() and file_path.suffix.lower() in video_extensions:
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filename = file_path.name
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mtime = datetime.fromtimestamp(file_path.stat().st_mtime)
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anime_name = self._parse_anime_name(filename)
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if anime_name:
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anime_names.append(anime_name)
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genres = self._extract_keywords(filename)
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all_genres.update(genres)
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files_with_dates.append((anime_name, mtime, filename))
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logger.debug(f"Found anime file: {filename} -> {anime_name}")
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# Get recent downloads (last modified)
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files_with_dates.sort(key=lambda x: x[1], reverse=True)
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recent = [
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{'name': name, 'date': date.isoformat(), 'filename': filename}
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for name, date, filename in files_with_dates[:10]
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]
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result = {
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'anime_list': anime_names,
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'genres': all_genres,
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'total_count': len(anime_names),
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'recent': recent
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}
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logger.info(f"Analyzed downloads: found {len(anime_names)} anime files, genres: {dict(all_genres.most_common(5))}")
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# Update cache
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self._history_cache = result
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self._cache_time = now
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return result
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class RecommendationEngine:
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"""Generate personalized anime recommendations"""
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def __init__(self, download_dir: str = "downloads"):
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self.analyzer = DownloadAnalyzer(download_dir)
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self.fetcher = AnimeReleasesFetcher()
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async def get_personalized_recommendations(self, limit: int = 15) -> List[Dict]:
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"""
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Get personalized recommendations based on download history
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Strategy:
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1. Analyze downloaded anime for genres and preferences
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2. Search for similar anime using Jikan API
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3. Get current season anime matching user's tastes
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4. Rank by relevance and score
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"""
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import logging
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logger = logging.getLogger(__name__)
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# Analyze download history
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history = self.analyzer.analyze_downloads()
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logger.info(f"Getting recommendations for user with {history['total_count']} downloaded anime")
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if history['total_count'] == 0:
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# No downloads yet, return top anime as fallback
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logger.info("No downloads found, returning top anime")
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try:
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top_anime = await self.fetcher.get_top_anime(limit=limit)
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if top_anime:
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return top_anime
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else:
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logger.warning("Top anime API returned empty, using hardcoded fallback")
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return self._get_fallback_recommendations()
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except Exception as e:
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logger.error(f"Error fetching top anime: {e}, using fallback", exc_info=True)
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return self._get_fallback_recommendations()
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# Get top genres from user's downloads
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top_genres = [genre for genre, count in history['genres'].most_common(5)]
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# Get some downloaded anime names to search for similar
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downloaded_anime = history['anime_list'][:5] if history['anime_list'] else []
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recommendations = []
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# Search for anime similar to what user downloaded
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for anime_name in downloaded_anime[:3]:
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try:
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results = await self.fetcher.search_anime(anime_name, limit=5)
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for anime in results:
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# Skip if it's in user's downloads (case-insensitive check)
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anime_lower = anime['title'].lower()
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if not any(anime_lower == dl.lower() for dl in downloaded_anime):
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recommendations.append({
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**anime,
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'cover_image': anime.get('cover_image'),
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'recommendation_reason': f"Similaire à {anime_name}",
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'relevance_score': 0.9
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})
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except Exception as e:
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logger.error(f"Error searching for {anime_name}: {e}", exc_info=True)
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# Get current season anime
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try:
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seasonal = await self.fetcher.get_seasonal_anime()
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logger.info(f"Found {len(seasonal)} seasonal anime")
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for anime in seasonal:
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# Skip if already in recommendations or downloaded
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anime_lower = anime['title'].lower()
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if (anime_lower not in [r['title'].lower() for r in recommendations] and
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not any(anime_lower == dl.lower() for dl in downloaded_anime)):
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# Check if genres match user's preferences
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anime_genres = [g.lower() for g in anime.get('genres', [])]
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genre_match = any(g in anime_genres for g in top_genres)
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recommendations.append({
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**anime,
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'cover_image': anime.get('cover_image'),
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'recommendation_reason': 'Nouveau de la saison' + (' (vos genres!)' if genre_match else ''),
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'relevance_score': 0.8 if genre_match else 0.6
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})
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except Exception as e:
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logger.error(f"Error fetching seasonal anime: {e}", exc_info=True)
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# If still no recommendations, try top anime
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if not recommendations:
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logger.warning("No recommendations generated, trying top anime")
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try:
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recommendations = await self.fetcher.get_top_anime(limit=limit)
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except Exception as e:
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logger.error(f"Error fetching top anime: {e}", exc_info=True)
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recommendations = []
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# If STILL no recommendations, use fallback
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if not recommendations:
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logger.warning("Still no recommendations, using hardcoded fallback")
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recommendations = self._get_fallback_recommendations()
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# Sort by relevance and score (handle None scores)
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recommendations.sort(
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key=lambda x: (x.get('relevance_score') or 0, x.get('score') or 0),
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reverse=True
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)
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# Remove duplicates by MAL ID
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seen = set()
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unique_recommendations = []
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for rec in recommendations:
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if rec.get('mal_id') not in seen:
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seen.add(rec.get('mal_id'))
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unique_recommendations.append(rec)
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logger.info(f"Returning {len(unique_recommendations[:limit])} recommendations")
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return unique_recommendations[:limit]
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def _get_fallback_recommendations(self) -> List[Dict]:
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"""Fallback hardcoded recommendations when API is unavailable"""
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return [
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{
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'title': 'Fullmetal Alchemist: Brotherhood',
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'mal_id': 5114,
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'score': 9.09,
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'episodes': 64,
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'status': 'Finished Airing',
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'genres': ['Action', 'Adventure', 'Fantasy'],
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'synopsis': 'Two brothers lose their mother to an incurable disease. With the power of alchemy, they use taboo knowledge to resurrect her. The process fails, and as a toll for crossing into the realm of God, they lose their bodies.',
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'images': {},
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'url': 'https://myanimelist.net/anime/5114/Fullmetal_Alchemist__Brotherhood',
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'recommendation_reason': 'Un classique incontournable',
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'relevance_score': 0.7
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},
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{
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'title': 'Attack on Titan',
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'mal_id': 16498,
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'score': 8.51,
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'episodes': 75,
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'status': 'Finished Airing',
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'genres': ['Action', 'Drama', 'Fantasy'],
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'synopsis': 'Centuries ago, mankind was slaughtered to near extinction by monstrous humanoid creatures called titans. To protect what remains, humanity built walls and lived peacefully for a hundred years.',
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'images': {},
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'url': 'https://myanimelist.net/anime/16498/Shingeki_no_Kyojin',
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'recommendation_reason': 'Shonen populaire',
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'relevance_score': 0.7
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},
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{
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'title': 'Death Note',
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'mal_id': 21,
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'score': 8.63,
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'episodes': 37,
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'status': 'Finished Airing',
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'genres': ['Mystery', 'Police', 'Psychological'],
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'synopsis': 'A shinigami, as a god of death, can kill any person—provided they see their victim\'s face and write their victim\'s name in a notebook called a Death Note.',
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'images': {},
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'url': 'https://myanimelist.net/anime/21/Death_Note',
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'recommendation_reason': 'Un classique du genre',
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'relevance_score': 0.7
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},
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{
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'title': 'Demon Slayer',
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'mal_id': 40028,
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'score': 8.48,
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'episodes': 26,
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'status': 'Finished Airing',
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'genres': ['Action', 'Adventure', 'Supernatural'],
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'synopsis': 'It is the Taisho Period in Japan. Tanjiro, a kindhearted boy who sells charcoal for a living, finds his family slaughtered by a demon. To make matters worse, his younger sister Nezuko is turned into a demon.',
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'images': {},
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'url': 'https://myanimelist.net/anime/40028/Kimetsu_no_Yaiba',
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'recommendation_reason': 'Animation exceptionnelle',
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'relevance_score': 0.7
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},
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{
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'title': 'Jujutsu Kaisen',
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'mal_id': 38725,
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'score': 8.35,
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'episodes': 24,
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'status': 'Finished Airing',
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'genres': ['Action', 'Supernatural'],
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'synopsis': 'Yuji Itadori is a boy with tremendous physical strength, though he lives a completely ordinary high school life. One day, to save a friend who has been attacked by curses, he eats the finger of a curse.',
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'images': {},
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'url': 'https://myanimelist.net/anime/38725/Jujutsu_Kaisen',
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'recommendation_reason': 'Action intense',
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'relevance_score': 0.7
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}
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]
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async def get_download_stats(self) -> Dict:
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"""Get statistics about user's downloads"""
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history = self.analyzer.analyze_downloads()
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return {
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'total_anime': history['total_count'],
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'top_genres': [
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{'genre': genre, 'count': count}
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for genre, count in history['genres'].most_common(10)
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],
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'recent_downloads': history['recent'][:5]
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}
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async def close(self):
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"""Close resources"""
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await self.fetcher.close()
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