PixVerse_Video_Generator_API / services /mongodb_service.py
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Update category matching to 4 types: Ai BF, Ai GF, Ai Hug Video, Ai Kiss Video
71b3815
import os
from datetime import datetime, timedelta
from typing import Optional, Union
from urllib.parse import urlparse
from pymongo import MongoClient, ReturnDocument
from pymongo.errors import DuplicateKeyError
from bson import ObjectId
import config
# Global dictionary to cache MongoDB clients
mongodb_clients = {}
def _normalize_date(dt: datetime) -> datetime:
"""Return UTC date at midnight for consistent daily counters."""
return datetime(dt.year, dt.month, dt.day)
def _build_ai_edit_daily_count(existing: Optional[list], now: datetime) -> list:
"""
Ensure ai_edit_daily_count is present and includes all days up to today.
- If today's date exists: return list unchanged.
- If missing dates: fill gaps with count=0 and add today with count=1.
- Always keep only the most recent 32 entries (oldest removed first).
"""
today = _normalize_date(now)
if not existing:
return [{"date": today, "count": 1}]
# Normalize dates and keep order
normalized = []
seen_dates = set()
for entry in existing:
date_val = entry.get("date")
if isinstance(date_val, datetime):
d = _normalize_date(date_val)
elif isinstance(date_val, str):
try:
d = _normalize_date(datetime.fromisoformat(date_val))
except Exception:
continue
else:
continue
seen_dates.add(d)
normalized.append({"date": d, "count": entry.get("count", 0)})
if today in seen_dates:
# already recorded today; do not change counts
normalized.sort(key=lambda x: x["date"])
if len(normalized) > 32:
normalized = normalized[-32:]
return normalized
# Fill missing days from last recorded date to today
normalized.sort(key=lambda x: x["date"])
last_date = normalized[-1]["date"]
cursor = last_date + timedelta(days=1)
while cursor < today:
normalized.append({"date": cursor, "count": 0})
cursor += timedelta(days=1)
# Add today with default count=1
normalized.append({"date": today, "count": 1})
# Enforce 32-entry limit (keep most recent 32 by date)
normalized.sort(key=lambda x: x["date"])
if len(normalized) > 32:
normalized = normalized[-32:]
return normalized
def get_selfi_short_client():
"""Get MongoDB client for the Selfie Short database (DEFAULT)"""
if "selfi_short" in mongodb_clients:
try:
mongodb_clients["selfi_short"].admin.command('ping')
return mongodb_clients["selfi_short"]
except:
del mongodb_clients["selfi_short"]
if not config.MONGODB_SELFI_SHORT:
print("[MongoDB] MONGODB_SELFI_SHORT connection string not set")
return None
try:
client = MongoClient(
config.MONGODB_SELFI_SHORT,
tlsAllowInvalidCertificates=True,
serverSelectionTimeoutMS=15000,
connectTimeoutMS=20000,
socketTimeoutMS=30000
)
client.admin.command('ping')
mongodb_clients["selfi_short"] = client
print(f"[MongoDB] Successfully connected to Selfie Short database")
return client
except Exception as e:
print(f"[MongoDB] Error connecting to Selfie Short MongoDB: {str(e)[:200]}")
return None
def get_collage_maker_client():
"""Get MongoDB client for the collage-maker database"""
if "collage_maker" in mongodb_clients:
try:
mongodb_clients["collage_maker"].admin.command('ping')
return mongodb_clients["collage_maker"]
except:
del mongodb_clients["collage_maker"]
if not config.MONGODB_COLLAGE_MAKER:
print("[MongoDB] MONGODB_COLLAGE_MAKER connection string not set")
return None
try:
client = MongoClient(
config.MONGODB_COLLAGE_MAKER,
tlsAllowInvalidCertificates=True,
serverSelectionTimeoutMS=15000,
connectTimeoutMS=20000,
socketTimeoutMS=30000
)
client.admin.command('ping')
mongodb_clients["collage_maker"] = client
print(f"[MongoDB] Successfully connected to collage-maker database")
return client
except Exception as e:
print(f"[MongoDB] Error connecting to collage-maker MongoDB: {str(e)[:200]}")
return None
def get_ai_enhancer_client():
"""Get MongoDB client for the AI-Enhancer database"""
if "ai_enhancer" in mongodb_clients:
try:
mongodb_clients["ai_enhancer"].admin.command('ping')
return mongodb_clients["ai_enhancer"]
except:
del mongodb_clients["ai_enhancer"]
if not config.MONGODB_AI_ENHANCER:
print("[MongoDB] MONGODB_AI_ENHANCER connection string not set")
return None
try:
client = MongoClient(
config.MONGODB_AI_ENHANCER,
tlsAllowInvalidCertificates=True,
serverSelectionTimeoutMS=15000,
connectTimeoutMS=20000,
socketTimeoutMS=30000
)
client.admin.command('ping')
mongodb_clients["ai_enhancer"] = client
print(f"[MongoDB] Successfully connected to AI-Enhancer database")
return client
except Exception as e:
print(f"[MongoDB] Error connecting to AI-Enhancer MongoDB: {str(e)[:200]}")
return None
def save_media_click(user_id: Optional[Union[int, str]], category_id: str, appname: Optional[str] = None):
"""
Save or update media click in the appropriate MongoDB database based on appname.
Args:
user_id: Optional integer or ObjectId string. If None, a new ObjectId will be generated automatically.
category_id: Required MongoDB ObjectId string for category.
appname: Optional app name (case-insensitive).
- If "collage-maker", uses collage-maker MongoDB (adminPanel database) with "media_clicks" collection
- If "AI-Enhancer", uses AI-Enhancer MongoDB (test database) with "media_clicks" collection
- Otherwise (DEFAULT), uses Selfie Short MongoDB (adminPanel database) with "media_clicks" collection
Document Structure:
{
userId: ObjectId,
categories: [
{
categoryId: ObjectId,
click_count: int,
lastClickedAt: Date
}
],
ai_edit_complete: int, # Count of times user used any model (default: 0 for new users)
ai_edit_last_date: Date, # Last date user used any model (stored as Date object)
ai_edit_daily_count: [ # Daily usage tracking (last 32 days)
{"date": Date, "count": int},
...
],
createdAt: Date,
updatedAt: Date
}
"""
# Log the received appname for debugging
print(f"[MongoDB] save_media_click called - appname: '{appname}', user_id: {user_id}, category_id: {category_id}")
# Determine which MongoDB to use based on appname (case-insensitive)
use_collage_maker = (appname and appname.lower() == "collage-maker")
use_ai_enhancer = (appname and appname.lower() == "ai-enhancer")
print(f"[MongoDB] Database selection - use_collage_maker: {use_collage_maker}, use_ai_enhancer: {use_ai_enhancer}, default: Selfie Short")
# Validate connection string is configured
if use_collage_maker:
if not config.MONGODB_COLLAGE_MAKER:
print("[MongoDB] MONGODB_COLLAGE_MAKER not configured, skipping media_clicks logging")
return False
elif use_ai_enhancer:
if not config.MONGODB_AI_ENHANCER:
print("[MongoDB] MONGODB_AI_ENHANCER not configured, skipping media_clicks logging")
return False
else:
# Default: Selfie Short
if not config.MONGODB_SELFI_SHORT:
print("[MongoDB] MONGODB_SELFI_SHORT not configured, skipping media_clicks logging")
return False
# Validate category_id
if not category_id:
print("[MongoDB] category_id not provided, skipping media_clicks logging")
return False
try:
# Get MongoDB client and select database/collection based on appname
if use_collage_maker:
mongo_client = get_collage_maker_client()
if mongo_client is None:
print(f"[MongoDB] ERROR: Could not connect to collage-maker MongoDB")
if "collage_maker" in mongodb_clients:
del mongodb_clients["collage_maker"]
return False
db = mongo_client.get_database(config.MONGODB_COLLAGE_MAKER_ADMIN_DB_NAME)
collection_name = "media_clicks"
elif use_ai_enhancer:
mongo_client = get_ai_enhancer_client()
if mongo_client is None:
print(f"[MongoDB] ERROR: Could not connect to AI-Enhancer MongoDB")
if "ai_enhancer" in mongodb_clients:
del mongodb_clients["ai_enhancer"]
return False
db = mongo_client.get_database(config.MONGODB_AI_ENHANCER_ADMIN_DB_NAME)
collection_name = "media_clicks"
print(f"[MongoDB] AI-Enhancer: Using database '{config.MONGODB_AI_ENHANCER_ADMIN_DB_NAME}', collection '{collection_name}'")
else:
# Default: Selfie Short (selfie-beauty-camera -> adminPanel -> media_clicks)
mongo_client = get_selfi_short_client()
if mongo_client is None:
print(f"[MongoDB] ERROR: Could not connect to Selfie Short MongoDB")
if "selfi_short" in mongodb_clients:
del mongodb_clients["selfi_short"]
return False
db = mongo_client.get_database(config.MONGODB_SELFI_SHORT_ADMIN_DB_NAME)
collection_name = "media_clicks"
print(f"[MongoDB] Selfie Short (DEFAULT): Using database '{config.MONGODB_SELFI_SHORT_ADMIN_DB_NAME}', collection '{collection_name}'")
collection = db.get_collection(collection_name)
# Handle user_id: use provided ObjectId string directly or convert integer; otherwise generate
if user_id is None:
user_object_id = ObjectId()
print(f"[MongoDB] user_id not provided, generated new ObjectId: {user_object_id}")
else:
try:
user_id_str = str(user_id).strip()
if len(user_id_str) == 24:
user_object_id = ObjectId(user_id_str)
print(f"[MongoDB] Using provided user_id as ObjectId: {user_object_id}")
else:
# Try integer -> deterministic ObjectId based on hex padded to 24 chars
user_id_int = int(user_id_str)
user_id_hex = hex(user_id_int)[2:].ljust(24, "0")[:24]
user_object_id = ObjectId(user_id_hex)
print(f"[MongoDB] Converted integer user_id '{user_id_str}' -> ObjectId: {user_object_id}")
except Exception as e:
print(f"[MongoDB] Error converting user_id to ObjectId: {e}")
user_object_id = ObjectId()
print(f"[MongoDB] Generated new ObjectId due to conversion error: {user_object_id}")
# Convert category_id to ObjectId
try:
category_object_id = ObjectId(category_id)
except Exception as e:
print(f"[MongoDB] Error converting category_id to ObjectId: {e}, category_id: {category_id}")
return False
now = datetime.utcnow()
# Check if document with userId exists
existing_doc = collection.find_one({"userId": user_object_id})
if existing_doc:
# Build daily counts
today_daily_counts = _build_ai_edit_daily_count(existing_doc.get("ai_edit_daily_count"), now)
print(f"[MongoDB] Found existing document for userId: {user_object_id}")
# Check if category exists in categories array
category_exists = False
for cat in existing_doc.get("categories", []):
cat_id = cat.get("categoryId")
if isinstance(cat_id, ObjectId):
if cat_id == category_object_id:
category_exists = True
break
elif str(cat_id) == str(category_object_id):
category_exists = True
break
if category_exists:
# Category exists, increment click_count
result = collection.update_one(
{
"userId": user_object_id,
"categories.categoryId": category_object_id
},
{
"$inc": {
"categories.$.click_count": 1,
"ai_edit_complete": 1
},
"$set": {
"categories.$.lastClickedAt": now,
"ai_edit_last_date": now,
"updatedAt": now,
"ai_edit_daily_count": today_daily_counts
}
}
)
print(f"[MongoDB] Updated category click_count - userId: {user_object_id}, categoryId: {category_object_id}")
else:
# Category doesn't exist, add new category to array
result = collection.update_one(
{"userId": user_object_id},
{
"$push": {
"categories": {
"categoryId": category_object_id,
"click_count": 1,
"lastClickedAt": now
}
},
"$inc": {
"ai_edit_complete": 1
},
"$set": {
"ai_edit_last_date": now,
"updatedAt": now,
"ai_edit_daily_count": today_daily_counts
}
}
)
print(f"[MongoDB] Added new category - userId: {user_object_id}, categoryId: {category_object_id}")
else:
# Document doesn't exist, create new document
today_daily_counts_new = _build_ai_edit_daily_count(None, now)
result = collection.find_one_and_update(
{"userId": user_object_id},
{
"$setOnInsert": {
"userId": user_object_id,
"createdAt": now,
"ai_edit_complete": 1,
"ai_edit_daily_count": today_daily_counts_new
},
"$push": {
"categories": {
"categoryId": category_object_id,
"click_count": 1,
"lastClickedAt": now
}
},
"$set": {
"ai_edit_last_date": now,
"updatedAt": now
}
},
upsert=True,
return_document=ReturnDocument.AFTER
)
print(f"[MongoDB] Created new document - userId: {user_object_id}, categoryId: {category_object_id}")
return True
except Exception as e:
import traceback
print(f"[MongoDB] ERROR saving media_clicks: {str(e)}")
print(f"[MongoDB] Traceback: {traceback.format_exc()}")
# Clear cached client on error so next attempt will retry
if use_collage_maker:
if "collage_maker" in mongodb_clients:
del mongodb_clients["collage_maker"]
elif use_ai_enhancer:
if "ai_enhancer" in mongodb_clients:
del mongodb_clients["ai_enhancer"]
else:
if "selfi_short" in mongodb_clients:
del mongodb_clients["selfi_short"]
return False
def get_category_name(category_id: str, appname: Optional[str] = None) -> Optional[str]:
"""
Look up category name from the appropriate MongoDB based on appname -> admin DB -> category collection.
Args:
category_id: MongoDB ObjectId string for the category
appname: App name to determine which MongoDB to use
- "collage-maker" → MONGODB_COLLAGE_MAKER
- "AI-Enhancer" → MONGODB_AI_ENHANCER
- default → MONGODB_SELFI_SHORT
Returns:
Category name string or None if not found
"""
if not category_id:
return None
# Determine which MongoDB to use based on appname (case-insensitive)
use_collage_maker = (appname and appname.lower() == "collage-maker")
use_ai_enhancer = (appname and appname.lower() == "ai-enhancer")
try:
# Get the appropriate MongoDB client based on appname
if use_collage_maker:
if not config.MONGODB_COLLAGE_MAKER:
print("[MongoDB] MONGODB_COLLAGE_MAKER not configured, cannot lookup category name")
return None
mongo_client = get_collage_maker_client()
admin_db_name = config.MONGODB_COLLAGE_MAKER_ADMIN_DB_NAME # adminPanel
elif use_ai_enhancer:
if not config.MONGODB_AI_ENHANCER:
print("[MongoDB] MONGODB_AI_ENHANCER not configured, cannot lookup category name")
return None
mongo_client = get_ai_enhancer_client()
admin_db_name = config.MONGODB_AI_ENHANCER_ADMIN_DB_NAME # test
else:
# Default: Selfie Short
if not config.MONGODB_SELFI_SHORT:
print("[MongoDB] MONGODB_SELFI_SHORT not configured, cannot lookup category name")
return None
mongo_client = get_selfi_short_client()
admin_db_name = config.MONGODB_SELFI_SHORT_ADMIN_DB_NAME # adminPanel
if mongo_client is None:
print(f"[MongoDB] Could not connect to MongoDB for category lookup")
return None
# Access adminPanel database -> categories collection
db = mongo_client.get_database(admin_db_name)
collection = db.get_collection("categories")
# Convert category_id to ObjectId
try:
category_object_id = ObjectId(category_id)
except Exception as e:
print(f"[MongoDB] Error converting category_id to ObjectId: {e}")
return None
# Find the category document
category_doc = collection.find_one({"_id": category_object_id})
if category_doc:
category_name = category_doc.get("name")
print(f"[MongoDB] Found category name: {category_name} for id: {category_id} (appname: {appname})")
return category_name
else:
print(f"[MongoDB] Category not found for id: {category_id}")
return None
except Exception as e:
print(f"[MongoDB] Error looking up category name: {str(e)}")
return None
# Pixverse category mapping - keyword to category name
# 4 types of videos: AI BF, AI GF, AI Hug Video, AI Kiss Video
PIXVERSE_CATEGORIES = {
"kiss": "Ai Kiss Video",
"hug": "Ai Hug Video",
"boyfriend": "Ai BF",
"bf": "Ai BF",
"girlfriend": "Ai GF",
"gf": "Ai GF"
}
def get_category_by_prompt(prompt_text: str, appname: Optional[str] = None) -> tuple:
"""
Match prompt_text against Pixverse category names and get category_id.
Args:
prompt_text: The prompt text to match against categories
appname: App name to determine which MongoDB to use
Returns:
Tuple of (category_id, category_name) or (None, None) if not found
"""
if not prompt_text:
return None, None
prompt_lower = prompt_text.lower()
matched_category_name = None
# Find matching category based on keywords in prompt
for keyword, category_name in PIXVERSE_CATEGORIES.items():
if keyword in prompt_lower:
matched_category_name = category_name
print(f"[MongoDB] Matched prompt keyword '{keyword}' to category: {category_name}")
break
if not matched_category_name:
print(f"[MongoDB] No category match found for prompt: {prompt_text[:50]}...")
return None, None
# Determine which MongoDB to use based on appname (case-insensitive)
use_collage_maker = (appname and appname.lower() == "collage-maker")
use_ai_enhancer = (appname and appname.lower() == "ai-enhancer")
try:
# Get the appropriate MongoDB client based on appname
if use_collage_maker:
if not config.MONGODB_COLLAGE_MAKER:
print("[MongoDB] MONGODB_COLLAGE_MAKER not configured")
return None, matched_category_name
mongo_client = get_collage_maker_client()
admin_db_name = config.MONGODB_COLLAGE_MAKER_ADMIN_DB_NAME
elif use_ai_enhancer:
if not config.MONGODB_AI_ENHANCER:
print("[MongoDB] MONGODB_AI_ENHANCER not configured")
return None, matched_category_name
mongo_client = get_ai_enhancer_client()
admin_db_name = config.MONGODB_AI_ENHANCER_ADMIN_DB_NAME
else:
# Default: Selfie Short
if not config.MONGODB_SELFI_SHORT:
print("[MongoDB] MONGODB_SELFI_SHORT not configured")
return None, matched_category_name
mongo_client = get_selfi_short_client()
admin_db_name = config.MONGODB_SELFI_SHORT_ADMIN_DB_NAME
if mongo_client is None:
print(f"[MongoDB] Could not connect to MongoDB for category lookup by prompt")
return None, matched_category_name
# Access adminPanel database -> categories collection
db = mongo_client.get_database(admin_db_name)
collection = db.get_collection("categories")
# Find the category document by name
category_doc = collection.find_one({"name": matched_category_name})
if category_doc:
category_id = str(category_doc.get("_id"))
print(f"[MongoDB] Found category_id: {category_id} for name: {matched_category_name}")
return category_id, matched_category_name
else:
print(f"[MongoDB] Category not found in database for name: {matched_category_name}")
return None, matched_category_name
except Exception as e:
print(f"[MongoDB] Error looking up category by prompt: {str(e)}")
return None, matched_category_name
def get_logs_client():
"""Get MongoDB client for the Logs database"""
if "logs" in mongodb_clients:
try:
mongodb_clients["logs"].admin.command('ping')
return mongodb_clients["logs"]
except:
del mongodb_clients["logs"]
if not config.MONGODB_LOGS:
print("[MongoDB] MONGODB_LOGS connection string not set")
return None
try:
client = MongoClient(
config.MONGODB_LOGS,
tlsAllowInvalidCertificates=True,
serverSelectionTimeoutMS=15000,
connectTimeoutMS=20000,
socketTimeoutMS=30000
)
client.admin.command('ping')
mongodb_clients["logs"] = client
print(f"[MongoDB] Successfully connected to Logs database")
return client
except Exception as e:
print(f"[MongoDB] Error connecting to Logs MongoDB: {str(e)[:200]}")
return None
def save_request_log(
user_id: Optional[str],
subcategory: str,
endpoint: str,
status: str,
response_time: float,
model: str = "PixVerse",
appname: Optional[str] = None,
error: Optional[str] = None
):
"""
Save request log to MongoDB Logs database.
Args:
user_id: User ID string
subcategory: Category/subcategory name
endpoint: API endpoint called
status: "success" or "error"
response_time: Time taken in seconds
model: Model name (default: "PixVerse")
appname: App name if provided
error: Error message if status is "error"
Document Structure:
{
user_id: string,
subcategory: string,
endpoint: string,
status: string,
response_time: float,
model: string,
timestamp: Date,
appname: string or null,
error: string or null
}
"""
if not config.MONGODB_LOGS:
print("[MongoDB] MONGODB_LOGS not configured, skipping request logging")
return False
try:
mongo_client = get_logs_client()
if mongo_client is None:
print(f"[MongoDB] ERROR: Could not connect to Logs MongoDB")
if "logs" in mongodb_clients:
del mongodb_clients["logs"]
return False
db = mongo_client.get_database(config.MONGODB_LOGS_DB_NAME)
collection = db.get_collection(config.MONGODB_LOGS_COLLECTION)
log_doc = {
"user_id": user_id,
"subcategory": subcategory,
"endpoint": endpoint,
"status": status,
"response_time": response_time,
"model": model,
"timestamp": datetime.utcnow(),
"appname": appname,
"error": error
}
result = collection.insert_one(log_doc)
print(f"[MongoDB] Request log saved - user_id: {user_id}, status: {status}, endpoint: {endpoint}")
return True
except Exception as e:
import traceback
print(f"[MongoDB] ERROR saving request log: {str(e)}")
print(f"[MongoDB] Traceback: {traceback.format_exc()}")
if "logs" in mongodb_clients:
del mongodb_clients["logs"]
return False