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import os
from datetime import datetime
from typing import Optional, List, Dict, Any
from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorDatabase
from pymongo import ASCENDING, DESCENDING
# MongoDB configuration from environment variables
MONGO_URI = os.getenv("MONGO_URI", "mongodb://localhost:27017")
MONGO_DB_NAME = os.getenv("MONGO_DB_NAME", "music_memories")
# Global MongoDB client and database instances
_mongo_client: Optional[AsyncIOMotorClient] = None
_mongo_db: Optional[AsyncIOMotorDatabase] = None
def get_mongo_client() -> Optional[AsyncIOMotorClient]:
"""Get the MongoDB client instance."""
return _mongo_client
def get_mongo_db() -> Optional[AsyncIOMotorDatabase]:
"""Get the MongoDB database instance."""
return _mongo_db
async def init_mongodb() -> None:
"""Initialize MongoDB connection."""
global _mongo_client, _mongo_db
try:
# Use serverSelectionTimeoutMS to fail fast if MongoDB is not available
_mongo_client = AsyncIOMotorClient(
MONGO_URI,
serverSelectionTimeoutMS=3000,
connectTimeoutMS=5000,
socketTimeoutMS=5000
)
_mongo_db = _mongo_client[MONGO_DB_NAME]
# Test connection with ping
await _mongo_client.admin.command('ping')
print(f"✓ Connected to MongoDB at {MONGO_URI}")
# Create indexes for play_history collection
await _mongo_db.play_history.create_index([("user_id", ASCENDING), ("played_at", DESCENDING)])
await _mongo_db.play_history.create_index([("song_id", ASCENDING)])
await _mongo_db.play_history.create_index([("played_at", DESCENDING)])
# Create indexes for activity_logs collection
await _mongo_db.activity_logs.create_index([("user_id", ASCENDING), ("timestamp", DESCENDING)])
await _mongo_db.activity_logs.create_index([("action_type", ASCENDING)])
await _mongo_db.activity_logs.create_index([("timestamp", DESCENDING)])
# Create indexes for analytics collection
await _mongo_db.analytics.create_index([("event_type", ASCENDING), ("timestamp", DESCENDING)])
await _mongo_db.analytics.create_index([("timestamp", DESCENDING)])
# Create indexes for search_history collection
await _mongo_db.search_history.create_index([("query", ASCENDING)])
await _mongo_db.search_history.create_index([("timestamp", DESCENDING)])
print("✓ MongoDB indexes created")
except Exception as e:
print(f"⚠ MongoDB connection failed: {e}")
print("⚠ Running without MongoDB (using Redis/SQLite fallback)")
_mongo_client = None
_mongo_db = None
async def close_mongodb() -> None:
"""Close MongoDB connection."""
global _mongo_client, _mongo_db
if _mongo_client:
_mongo_client.close()
_mongo_client = None
_mongo_db = None
# ============== Play History (MongoDB) ==============
async def store_play_history_mongo(
user_id: int,
song_id: int,
song_title: str = None,
song_artist: str = None,
context_id: int = None,
duration_seconds: int = None,
completed: bool = True
) -> Dict[str, Any]:
"""Store a play history event in MongoDB."""
if _mongo_db is None:
return None
document = {
"user_id": user_id,
"song_id": song_id,
"song_title": song_title,
"song_artist": song_artist,
"context_id": context_id,
"duration_seconds": duration_seconds,
"completed": completed,
"played_at": datetime.utcnow(),
"created_at": datetime.utcnow()
}
result = await _mongo_db.play_history.insert_one(document)
return {
"id": str(result.inserted_id),
**document
}
async def get_user_play_history_mongo(
user_id: int,
limit: int = 50
) -> List[Dict[str, Any]]:
"""Get play history for a user from MongoDB."""
if _mongo_db is None:
return []
cursor = _mongo_db.play_history.find(
{"user_id": user_id}
).sort("played_at", DESCENDING).limit(limit)
results = []
async for doc in cursor:
results.append({
"id": str(doc["_id"]),
"user_id": doc["user_id"],
"song_id": doc["song_id"],
"song_title": doc.get("song_title"),
"song_artist": doc.get("song_artist"),
"context_id": doc.get("context_id"),
"duration_seconds": doc.get("duration_seconds"),
"completed": doc.get("completed", True),
"played_at": doc["played_at"].isoformat() if doc.get("played_at") else None
})
return results
async def get_global_play_history_mongo(
limit: int = 50
) -> List[Dict[str, Any]]:
"""Get global play history from MongoDB."""
if _mongo_db is None:
return []
cursor = _mongo_db.play_history.find({}).sort("played_at", DESCENDING).limit(limit)
results = []
async for doc in cursor:
results.append({
"id": str(doc["_id"]),
"user_id": doc["user_id"],
"song_id": doc["song_id"],
"song_title": doc.get("song_title"),
"song_artist": doc.get("song_artist"),
"context_id": doc.get("context_id"),
"duration_seconds": doc.get("duration_seconds"),
"completed": doc.get("completed", True),
"played_at": doc["played_at"].isoformat() if doc.get("played_at") else None
})
return results
async def get_song_play_count_mongo(song_id: int) -> int:
"""Get total play count for a song."""
if _mongo_db is None:
return 0
count = await _mongo_db.play_history.count_documents({"song_id": song_id})
return count
async def get_top_songs_mongo(limit: int = 10) -> List[Dict[str, Any]]:
"""Get top played songs from MongoDB analytics."""
if _mongo_db is None:
return []
pipeline = [
{"$group": {
"_id": "$song_id",
"play_count": {"$sum": 1},
"song_title": {"$first": "$song_title"},
"song_artist": {"$first": "$song_artist"}
}},
{"$sort": {"play_count": -1}},
{"$limit": limit}
]
results = []
async for doc in _mongo_db.play_history.aggregate(pipeline):
results.append({
"song_id": doc["_id"],
"song_title": doc.get("song_title"),
"song_artist": doc.get("song_artist"),
"play_count": doc["play_count"]
})
return results
# ============== Activity Logs (MongoDB) ==============
async def log_user_activity(
user_id: int,
action_type: str,
details: Dict[str, Any] = None
) -> Dict[str, Any]:
"""Log a user activity event."""
if _mongo_db is None:
return None
document = {
"user_id": user_id,
"action_type": action_type,
"details": details or {},
"timestamp": datetime.utcnow()
}
result = await _mongo_db.activity_logs.insert_one(document)
return {
"id": str(result.inserted_id),
**document
}
async def get_user_activity_mongo(
user_id: int,
limit: int = 50,
action_type: str = None
) -> List[Dict[str, Any]]:
"""Get activity logs for a user."""
if _mongo_db is None:
return []
query = {"user_id": user_id}
if action_type:
query["action_type"] = action_type
cursor = _mongo_db.activity_logs.find(query).sort("timestamp", DESCENDING).limit(limit)
results = []
async for doc in cursor:
results.append({
"id": str(doc["_id"]),
"user_id": doc["user_id"],
"action_type": doc["action_type"],
"details": doc.get("details", {}),
"timestamp": doc["timestamp"].isoformat() if doc.get("timestamp") else None
})
return results
# ============== Analytics Events (MongoDB) ==============
async def track_analytics_event(
event_type: str,
properties: Dict[str, Any] = None
) -> Dict[str, Any]:
"""Track an analytics event."""
if _mongo_db is None:
return None
document = {
"event_type": event_type,
"properties": properties or {},
"timestamp": datetime.utcnow()
}
result = await _mongo_db.analytics.insert_one(document)
return {
"id": str(result.inserted_id),
**document
}
async def get_analytics_summary(
event_type: str = None,
hours: int = 24
) -> Dict[str, Any]:
"""Get analytics summary for the last N hours."""
if _mongo_db is None:
return {}
from datetime import timedelta
since = datetime.utcnow() - timedelta(hours=hours)
query = {"timestamp": {"$gte": since}}
if event_type:
query["event_type"] = event_type
total_events = await _mongo_db.analytics.count_documents(query)
# Get event type breakdown
pipeline = [
{"$match": query},
{"$group": {
"_id": "$event_type",
"count": {"$sum": 1}
}},
{"$sort": {"count": -1}}
]
breakdown = []
async for doc in _mongo_db.analytics.aggregate(pipeline):
breakdown.append({
"event_type": doc["_id"],
"count": doc["count"]
})
return {
"total_events": total_events,
"period_hours": hours,
"breakdown": breakdown
}
# ============== User Search History (MongoDB) ==============
async def log_search(
user_id: int = None,
search_type: str = None,
query: str = None,
results_count: int = 0
) -> Dict[str, Any]:
"""Log a search event."""
if _mongo_db is None:
return None
document = {
"user_id": user_id,
"search_type": search_type,
"query": query,
"results_count": results_count,
"timestamp": datetime.utcnow()
}
result = await _mongo_db.search_history.insert_one(document)
return {
"id": str(result.inserted_id),
**document
}
async def get_popular_searches(
hours: int = 24,
limit: int = 10
) -> List[Dict[str, Any]]:
"""Get popular search queries."""
if _mongo_db is None:
return []
from datetime import timedelta
since = datetime.utcnow() - timedelta(hours=hours)
pipeline = [
{"$match": {"timestamp": {"$gte": since}}},
{"$group": {
"_id": "$query",
"count": {"$sum": 1},
"search_type": {"$first": "$search_type"}
}},
{"$sort": {"count": -1}},
{"$limit": limit}
]
results = []
async for doc in _mongo_db.search_history.aggregate(pipeline):
results.append({
"query": doc["_id"],
"search_type": doc.get("search_type"),
"count": doc["count"]
})
return results
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