# 测试服环境变量
APP_ENV=development


# Prisma Config
# MYSQL_URL="mysql://boxdbuser:dwR%3D%29whu2Ze@localhost:3306/box_admin"
# MONGO_URL="mongodb://boxuser:dwR%3D%29whu2Ze@localhost:27017/box_admin?authSource=admin"
# MONGO_STATS_URL="mongodb://boxuser:dwR%3D%29whu2Ze@localhost:27017/box_stats?authSource=admin"

# dave local
MYSQL_URL="mysql://root:123456@localhost:3306/box_admin"
MONGO_URL="mongodb://admin:ZXcv%21%21996@localhost:27017/box_admin?authSource=admin"
MONGO_STATS_URL="mongodb://admin:ZXcv%21%21996@localhost:27017/box_stats?authSource=admin"


# office dev env
# MYSQL_URL="mysql://root:123456@192.168.0.100:3306/box_admin"
# MONGO_URL="mongodb://msAdmin:Fl1%2A29MJe%26jLvj@192.168.0.100:27017/box_admin?authSource=admin"
# MONGO_STATS_URL="mongodb://msAdmin:Fl1%2A29MJe%26jLvj@192.168.0.100:27017/box_stats?authSource=admin"

# App set to 0.0.0.0 for local LAN access
APP_HOST=0.0.0.0
APP_PORT=3302
APP_CORS_ORIGIN=*


# JWT
JWT_SECRET=047df8aaa3d17dc1173c5a9a3052ba66c2b0bd96937147eb643319a0c90d132f
JWT_ACCESS_TOKEN_TTL=43200

# RabbitMQ Config
RABBITMQ_URL="amqp://boxrabbit:BoxRabbit%232025@localhost:5672"
RABBITMQ_LOGIN_EXCHANGE="stats.user"
RABBITMQ_LOGIN_QUEUE="stats.user.login.q"
RABBITMQ_LOGIN_ROUTING_KEY="user.login"
RABBITMQ_ADS_CLICK_ROUTING_KEY="stats.ad.click"
# Stats Events Queues & Routing Keys
RABBITMQ_STATS_EXCHANGE="stats.user"
RABBITMQ_STATS_AD_CLICK_QUEUE="stats.ad.click"
RABBITMQ_STATS_AD_CLICK_ROUTING_KEY="stats.ad.click"
RABBITMQ_STATS_VIDEO_CLICK_QUEUE="stats.video.click"
RABBITMQ_STATS_VIDEO_CLICK_ROUTING_KEY="stats.video.click"
RABBITMQ_STATS_AD_IMPRESSION_QUEUE="stats.ad.impression"
RABBITMQ_STATS_AD_IMPRESSION_ROUTING_KEY="stats.ad.impression"

# Stats Aggregation Scheduler (runs every 5 minutes)
# Set to 'false' to disable scheduled aggregation (manual trigger only via API)
STATS_AGGREGATION_ENABLED=true
# Optional: limit aggregation to last N days (leave empty for all-time)
# STATS_AGGREGATION_WINDOW_DAYS=30

# Stats Scoring Configuration
# CTR Smoothing (Laplace): (clicks + alpha) / (impressions + beta)
STATS_CTR_ALPHA=1
STATS_CTR_BETA=2

# Scoring Weights: score = w1*popularity + w2*ctr + w3*recency
# Popularity: log(1 + impressions)
# CTR: smoothed click-through rate
# Recency: 1/(1 + ageDays) based on firstSeenAt
STATS_WEIGHT_POPULARITY=0.5
STATS_WEIGHT_CTR=0.3
STATS_WEIGHT_RECENCY=0.2