feat(ops): 添加 count_tokens 错误过滤功能
功能特性: - 自动识别并标记 count_tokens 请求的错误 - 支持配置是否在统计中忽略 count_tokens 错误 - 错误数据完整保留,仅在统计时动态过滤 技术实现: - ops_error_logger.go: 自动标记 count_tokens 请求 - ops_repo.go: INSERT 语句添加 is_count_tokens 字段 - ops_repo_dashboard.go: buildErrorWhere 核心过滤函数 - ops_repo_preagg.go: 预聚合统计中添加过滤 - ops_repo_trends.go: 趋势统计查询添加过滤(2 处) - ops_settings_models.go: 添加 ignore_count_tokens_errors 配置 - ops_settings.go: 配置验证和默认值设置 - ops_port.go: 错误日志模型添加 IsCountTokens 字段 业务价值: - count_tokens 是探测性请求,其错误不影响真实业务 SLA - 用户可根据需求灵活控制是否计入统计 - 提升错误率、告警等运维指标的准确性 影响范围: - Dashboard 概览统计 - 错误趋势图表 - 告警规则评估 - 预聚合指标(hourly/daily) - 健康分数计算
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@@ -78,7 +78,9 @@ error_base AS (
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status_code AS client_status_code,
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COALESCE(upstream_status_code, status_code, 0) AS effective_status_code
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FROM ops_error_logs
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-- Exclude count_tokens requests from error metrics as they are informational probes
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WHERE created_at >= $1 AND created_at < $2
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AND is_count_tokens = FALSE
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),
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error_agg AS (
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SELECT
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