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PostgreSQL SUM() on bigint returns NUMERIC, causing sqlx decode errors when Rust expects i64/Option<i64>. Root cause: key_pool.rs select_best_key() token_count SUM was missing ::bigint, causing DATABASE_ERROR on every relay request. Fixed in 4 files: - relay/key_pool.rs: SUM(token_count) — root cause of relay failure - relay/service.rs: SUM(remaining_rpm) in sort_candidates_by_quota - account/handlers.rs: SUM(input/output_tokens) in dashboard stats - workers/aggregate_usage.rs: SUM(input/output_tokens) in aggregation
124 lines
3.6 KiB
Rust
124 lines
3.6 KiB
Rust
//! 计费用量聚合 Worker
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//!
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//! 从 usage_records 聚合当月用量到 billing_usage_quotas 表。
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//! 由 Scheduler 每小时触发，或在 relay 请求完成时直接派发。
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use async_trait::async_trait;
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use chrono::{Datelike, Timelike};
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use serde::{Deserialize, Serialize};
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use sqlx::PgPool;
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use crate::error::SaasResult;
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use super::Worker;
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/// 用量聚合参数
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#[derive(Debug, Serialize, Deserialize)]
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pub struct AggregateUsageArgs {
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/// 聚合的目标账户 ID（None = 聚合所有活跃账户）
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pub account_id: Option<String>,
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}
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pub struct AggregateUsageWorker;
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#[async_trait]
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impl Worker for AggregateUsageWorker {
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type Args = AggregateUsageArgs;
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fn name(&self) -> &str {
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"aggregate_usage"
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}
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async fn perform(&self, db: &PgPool, args: Self::Args) -> SaasResult<()> {
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match args.account_id {
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Some(account_id) => {
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aggregate_single_account(db, &account_id).await?;
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}
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None => {
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aggregate_all_accounts(db).await?;
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}
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}
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Ok(())
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}
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}
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/// 聚合单个账户的当月用量
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async fn aggregate_single_account(db: &PgPool, account_id: &str) -> SaasResult<()> {
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// 获取或创建用量记录（确保存在）
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let usage = crate::billing::service::get_or_create_usage(db, account_id).await?;
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// 从 usage_records 聚合当月实际 token 用量
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let now = chrono::Utc::now();
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let period_start = now
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.with_day(1).unwrap_or(now)
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.with_hour(0).unwrap_or(now)
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.with_minute(0).unwrap_or(now)
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.with_second(0).unwrap_or(now)
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.with_nanosecond(0).unwrap_or(now);
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let aggregated: Option<(i64, i64, i64)> = sqlx::query_as(
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"SELECT COALESCE(SUM(input_tokens), 0)::bigint, \
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COALESCE(SUM(output_tokens), 0)::bigint, \
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COUNT(*) \
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FROM usage_records \
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WHERE account_id = $1 AND created_at >= $2 AND status = 'success'"
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)
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.bind(account_id)
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.bind(period_start)
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.fetch_optional(db)
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.await?;
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if let Some((input_tokens, output_tokens, request_count)) = aggregated {
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sqlx::query(
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"UPDATE billing_usage_quotas \
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SET input_tokens = $1, \
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output_tokens = $2, \
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relay_requests = GREATEST(relay_requests, $3::int), \
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updated_at = NOW() \
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WHERE id = $4"
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)
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.bind(input_tokens)
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.bind(output_tokens)
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.bind(request_count as i32)
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.bind(&usage.id)
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.execute(db)
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.await?;
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tracing::debug!(
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"Aggregated usage for account {}: in={}, out={}, reqs={}",
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account_id, input_tokens, output_tokens, request_count
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);
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}
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Ok(())
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}
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/// 聚合所有活跃账户
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async fn aggregate_all_accounts(db: &PgPool) -> SaasResult<()> {
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let account_ids: Vec<String> = sqlx::query_scalar(
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"SELECT DISTINCT account_id FROM billing_subscriptions \
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WHERE status IN ('trial', 'active', 'past_due') \
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UNION \
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SELECT DISTINCT account_id FROM billing_usage_quotas \
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WHERE period_start >= date_trunc('month', NOW())"
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)
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.fetch_all(db)
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.await?;
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let total = account_ids.len();
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let mut errors = 0;
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for account_id in &account_ids {
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if let Err(e) = aggregate_single_account(db, account_id).await {
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tracing::warn!("Failed to aggregate usage for {}: {}", account_id, e);
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errors += 1;
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}
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}
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tracing::info!(
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"Usage aggregation complete: {} accounts, {} errors",
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total, errors
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);
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Ok(())
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}
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