mirror of
https://github.com/Rain-kl/OpenFlare.git
synced 2026-09-29 05:56:38 +08:00
ryan
7d71f1e4e1
- New internal/repository/logstore abstraction: exported domain interfaces (AccessLogStore/ObservabilityStore/UserAccessLogStore/StatusStore), config-driven provider (Active/Build/Migrating/SetConfigReader), GORM implementation for PostgreSQL/SQLite (incl. hourly rollups computed in real time, migration listers, PG partition maintenance), and a ClickHouse wrapper preserving the native batch path; repository facade delegates to logstore; import-lint test enforces apps never import analyticsrepo. - ClickHouse is now optional: the log DB is either the main DB (postgres when database.enabled, else sqlite) or clickhouse; boot validation + first-run seed; log_database / log_db_migration are protected keys. - New user task 切换日志数据库 (of_log_db_switch): freeze log writes, drain batch writers, copy all 6 raw log tables by id (preserving IDs) with target-partition pre-creation for PG, flip log_database on success, clear the freeze flag on failure. - Per-store retention (log_retention_days_*) with expiry cleanup folded into the daily system_cleanup task; legacy database_auto_cleanup_* and of_database_auto_cleanup decommissioned. - goose migrations: 6 log tables in PG (2 monthly-partitioned) + SQLite, retention config seeds, schedule cleanup; GET /api/v1/admin/status/log-database endpoint; frontend retention settings, switch-task UI and status badge; changelog and docs updated. docs(plan): log database decoupling implementation plan docs(design): log database decoupling design (ClickHouse optional)
86 lines
3.1 KiB
Go
86 lines
3.1 KiB
Go
// Copyright 2026 Arctel.net
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// SPDX-License-Identifier: Apache-2.0
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package logstore
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import (
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"strconv"
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"gorm.io/gorm"
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)
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// isPostgresDialect 判断 gorm 句柄是否为 PostgreSQL 方言（否则按 SQLite 处理）。
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// Dialector 经 gorm.Config 内嵌提升，Name() 可直接在 DB 上调用。
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func isPostgresDialect(db *gorm.DB) bool {
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return db != nil && db.Dialector != nil && db.Name() == "postgres"
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}
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// timeBucketSQLSQLite 返回 SQLite 时间分桶表达式（epoch 秒 -> 分桶起点）。
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func timeBucketSQLSQLite(column string, bucketSeconds int64) string {
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return "(floor(unixepoch(" + column + ")/" + strconv.FormatInt(bucketSeconds, 10) + ")*" + strconv.FormatInt(bucketSeconds, 10) + ")"
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}
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// dailyTrendDateSQLSQLite 返回 SQLite 按日聚合的日期表达式。
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func dailyTrendDateSQLSQLite() string {
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return "strftime('%Y-%m-%d', created_at)"
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}
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// epochSQLSQLite 返回 SQLite epoch 秒表达式（unixepoch 整数秒）。
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func epochSQLSQLite(column string) string {
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return "unixepoch(" + column + ")"
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}
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// textCastSQLSQLite 返回 SQLite 数值列转文本表达式。
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func textCastSQLSQLite(column string) string {
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return "CAST(" + column + " AS TEXT)"
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}
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// distinctNonEmptyCountSQLSQLite 返回 SQLite 排除空串的 distinct 计数表达式
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// （SQLite 无 FILTER 语法，用 CASE 等价实现）。
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func distinctNonEmptyCountSQLSQLite(column string) string {
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return "COUNT(DISTINCT CASE WHEN " + column + " <> '' THEN " + column + " END)"
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}
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// distinctNonEmptyCountSQL 按当前方言返回排除空串的 distinct 计数表达式
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// （运行时按 Dialector 分发，默认 SQLite）。
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func distinctNonEmptyCountSQL(db *gorm.DB, column string) string {
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if isPostgresDialect(db) {
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return distinctNonEmptyCountSQLPostgres(column)
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}
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return distinctNonEmptyCountSQLSQLite(column)
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}
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// dailyTrendDateSQL 按当前方言返回按日聚合的日期表达式（运行时按 Dialector 分发，默认 SQLite）。
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func dailyTrendDateSQL(db *gorm.DB) string {
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if isPostgresDialect(db) {
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return dailyTrendDateSQLPostgres()
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}
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return dailyTrendDateSQLSQLite()
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}
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// epochSQL 按当前方言返回 epoch 秒表达式（运行时按 Dialector 分发，默认 SQLite）。
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func epochSQL(db *gorm.DB, column string) string {
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if isPostgresDialect(db) {
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return epochSQLPostgres(column)
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}
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return epochSQLSQLite(column)
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}
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// textCastSQL 按当前方言返回数值列转文本表达式（运行时按 Dialector 分发，默认 SQLite）。
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func textCastSQL(db *gorm.DB, column string) string {
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if isPostgresDialect(db) {
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return textCastSQLPostgres(column)
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}
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return textCastSQLSQLite(column)
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}
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// timeBucketSQL 按当前方言返回时间分桶表达式。
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// brief 将 PG/SQLite 两版写为同名函数，同包无法共存；log_database 为运行时配置，
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// 不能使用编译期 build tag，故按 db.Dialector.Name() 运行时分发（默认 SQLite）。
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func timeBucketSQL(db *gorm.DB, column string, bucketSeconds int64) string {
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if isPostgresDialect(db) {
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return timeBucketSQLPostgres(column, bucketSeconds)
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}
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return timeBucketSQLSQLite(column, bucketSeconds)
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}
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