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feat(clickhouse): integrate goose migrations and analytics repository
Add a separate ClickHouse OLAP pipeline with goose/clickhouse DDL as the sole schema source, model/analytics for ORM mapping, and repository/analytics for reads (ChDB/GORM) and batch writes (ChConn). Refactor risk_control and admin/logs to use the repository layer instead of inline SQL. Remove the manual support-files DDL and document the workflow in database-migration skill.
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// Copyright 2026 Arctel.net
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// SPDX-License-Identifier: Apache-2.0
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// Package analytics defines ClickHouse analytics domain models.
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package analytics
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import (
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"fmt"
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"time"
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)
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const (
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userAccessLogTableName = "w_user_access_logs"
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userAccessLogInsertColumns = "id, user_id, path, method, ip, user_agent, headers, status, latency, created_at"
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)
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// UserAccessLog stores HTTP access records in ClickHouse.
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type UserAccessLog struct {
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ID uint64 `gorm:"column:id"`
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UserID uint64 `gorm:"column:user_id"`
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Path string `gorm:"column:path"`
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Method string `gorm:"column:method"`
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IP string `gorm:"column:ip"`
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UserAgent string `gorm:"column:user_agent"`
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Headers string `gorm:"column:headers"`
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Status int32 `gorm:"column:status"`
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Latency int64 `gorm:"column:latency"`
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CreatedAt time.Time `gorm:"column:created_at"`
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}
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// TableName returns the ClickHouse table name.
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func (UserAccessLog) TableName() string {
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return userAccessLogTableName
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}
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// InsertColumns returns comma-separated column names for batch insert.
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func (UserAccessLog) InsertColumns() string {
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return userAccessLogInsertColumns
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}
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// BatchInsertSQL returns the INSERT prefix used by native batch writers.
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func (UserAccessLog) BatchInsertSQL() string {
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return fmt.Sprintf("INSERT INTO %s (%s)", userAccessLogTableName, userAccessLogInsertColumns)
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}
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