Files
CC-Switch/src-tauri/src/database/schema.rs
T
Jason 2bfecead4f feat(pricing): add Kimi K3 to built-in model pricing table
Seed kimi-k3 at the official list price ($3/M input, $15/M output,
$0.30/M cache read; released 2026-07-16 with a 1M context window).
Cross-checked against the Moonshot pricing docs, OpenRouter, and
models.dev. Seed-only change: ensure_model_pricing_seeded picks it up
on next launch, no schema version bump needed.
2026-07-21 16:39:33 +08:00

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//! Schema 定义和迁移
//!
//! 负责数据库表结构的创建和版本迁移。
use super::{lock_conn, Database, SCHEMA_VERSION};
use crate::error::AppError;
use rusqlite::{params, Connection};
use serde::Serialize;
#[derive(Serialize)]
struct LegacySkillMigrationRow {
directory: String,
app_type: String,
}
impl Database {
/// 创建所有数据库表
pub(crate) fn create_tables(&self) -> Result<(), AppError> {
let conn = lock_conn!(self.conn);
Self::create_tables_on_conn(&conn)
}
/// 在指定连接上创建表(供迁移和测试使用)
pub(crate) fn create_tables_on_conn(conn: &Connection) -> Result<(), AppError> {
// 1. Providers 表
conn.execute(
"CREATE TABLE IF NOT EXISTS providers (
id TEXT NOT NULL,
app_type TEXT NOT NULL,
name TEXT NOT NULL,
settings_config TEXT NOT NULL,
website_url TEXT,
category TEXT,
created_at INTEGER,
sort_index INTEGER,
notes TEXT,
icon TEXT,
icon_color TEXT,
meta TEXT NOT NULL DEFAULT '{}',
is_current BOOLEAN NOT NULL DEFAULT 0,
in_failover_queue BOOLEAN NOT NULL DEFAULT 0,
PRIMARY KEY (id, app_type)
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 2. Provider Endpoints 表
conn.execute(
"CREATE TABLE IF NOT EXISTS provider_endpoints (
id INTEGER PRIMARY KEY AUTOINCREMENT,
provider_id TEXT NOT NULL,
app_type TEXT NOT NULL,
url TEXT NOT NULL,
added_at INTEGER,
FOREIGN KEY (provider_id, app_type) REFERENCES providers(id, app_type) ON DELETE CASCADE
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 3. MCP Servers 表
conn.execute(
"CREATE TABLE IF NOT EXISTS mcp_servers (
id TEXT PRIMARY KEY, name TEXT NOT NULL, server_config TEXT NOT NULL,
description TEXT, homepage TEXT, docs TEXT, tags TEXT NOT NULL DEFAULT '[]',
enabled_claude BOOLEAN NOT NULL DEFAULT 0, enabled_codex BOOLEAN NOT NULL DEFAULT 0,
enabled_gemini BOOLEAN NOT NULL DEFAULT 0, enabled_grokbuild BOOLEAN NOT NULL DEFAULT 0,
enabled_opencode BOOLEAN NOT NULL DEFAULT 0,
enabled_hermes BOOLEAN NOT NULL DEFAULT 0
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 4. Prompts 表
conn.execute("CREATE TABLE IF NOT EXISTS prompts (
id TEXT NOT NULL, app_type TEXT NOT NULL, name TEXT NOT NULL, content TEXT NOT NULL,
description TEXT, enabled BOOLEAN NOT NULL DEFAULT 1, created_at INTEGER, updated_at INTEGER,
PRIMARY KEY (id, app_type)
)", []).map_err(|e| AppError::Database(e.to_string()))?;
// 5. Skills 表(v3.10.0+ 统一结构)
conn.execute(
"CREATE TABLE IF NOT EXISTS skills (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
description TEXT,
directory TEXT NOT NULL,
repo_owner TEXT,
repo_name TEXT,
repo_branch TEXT DEFAULT 'main',
readme_url TEXT,
enabled_claude BOOLEAN NOT NULL DEFAULT 0,
enabled_codex BOOLEAN NOT NULL DEFAULT 0,
enabled_gemini BOOLEAN NOT NULL DEFAULT 0,
enabled_grokbuild BOOLEAN NOT NULL DEFAULT 0,
enabled_opencode BOOLEAN NOT NULL DEFAULT 0,
enabled_hermes BOOLEAN NOT NULL DEFAULT 0,
installed_at INTEGER NOT NULL DEFAULT 0,
content_hash TEXT,
updated_at INTEGER NOT NULL DEFAULT 0
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 6. Skill Repos 表
conn.execute(
"CREATE TABLE IF NOT EXISTS skill_repos (
owner TEXT NOT NULL, name TEXT NOT NULL, branch TEXT NOT NULL DEFAULT 'main',
enabled BOOLEAN NOT NULL DEFAULT 1, PRIMARY KEY (owner, name)
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 7. Settings 表
conn.execute(
"CREATE TABLE IF NOT EXISTS settings (key TEXT PRIMARY KEY, value TEXT)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 8. Proxy Config 表(三行结构,app_type 主键)
conn.execute("CREATE TABLE IF NOT EXISTS proxy_config (
app_type TEXT PRIMARY KEY CHECK (app_type IN ('claude','codex','gemini','grokbuild')),
proxy_enabled INTEGER NOT NULL DEFAULT 0, listen_address TEXT NOT NULL DEFAULT '127.0.0.1',
listen_port INTEGER NOT NULL DEFAULT 15721, enable_logging INTEGER NOT NULL DEFAULT 1,
enabled INTEGER NOT NULL DEFAULT 0, auto_failover_enabled INTEGER NOT NULL DEFAULT 0,
max_retries INTEGER NOT NULL DEFAULT 3, streaming_first_byte_timeout INTEGER NOT NULL DEFAULT 60,
streaming_idle_timeout INTEGER NOT NULL DEFAULT 120, non_streaming_timeout INTEGER NOT NULL DEFAULT 600,
circuit_failure_threshold INTEGER NOT NULL DEFAULT 4, circuit_success_threshold INTEGER NOT NULL DEFAULT 2,
circuit_timeout_seconds INTEGER NOT NULL DEFAULT 60, circuit_error_rate_threshold REAL NOT NULL DEFAULT 0.6,
circuit_min_requests INTEGER NOT NULL DEFAULT 10,
default_cost_multiplier TEXT NOT NULL DEFAULT '1',
pricing_model_source TEXT NOT NULL DEFAULT 'response',
created_at TEXT NOT NULL DEFAULT (datetime('now')), updated_at TEXT NOT NULL DEFAULT (datetime('now'))
)", []).map_err(|e| AppError::Database(e.to_string()))?;
// 初始化三行数据(每应用不同默认值)
//
// 兼容旧数据库:
// - 老版本 proxy_config 是单例表(没有 app_type 列),此时不能执行三行 seed insert
// - 旧表会在 apply_schema_migrations() 中迁移为三行结构后再插入。
if Self::has_column(conn, "proxy_config", "app_type")? {
conn.execute(
"INSERT OR IGNORE INTO proxy_config (app_type, max_retries,
streaming_first_byte_timeout, streaming_idle_timeout, non_streaming_timeout,
circuit_failure_threshold, circuit_success_threshold, circuit_timeout_seconds,
circuit_error_rate_threshold, circuit_min_requests)
VALUES ('claude', 6, 90, 180, 600, 8, 3, 90, 0.7, 15)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"INSERT OR IGNORE INTO proxy_config (app_type, max_retries,
streaming_first_byte_timeout, streaming_idle_timeout, non_streaming_timeout,
circuit_failure_threshold, circuit_success_threshold, circuit_timeout_seconds,
circuit_error_rate_threshold, circuit_min_requests)
VALUES ('codex', 3, 60, 120, 600, 4, 2, 60, 0.6, 10)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"INSERT OR IGNORE INTO proxy_config (app_type, max_retries,
streaming_first_byte_timeout, streaming_idle_timeout, non_streaming_timeout,
circuit_failure_threshold, circuit_success_threshold, circuit_timeout_seconds,
circuit_error_rate_threshold, circuit_min_requests)
VALUES ('gemini', 5, 60, 120, 600, 4, 2, 60, 0.6, 10)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"INSERT OR IGNORE INTO proxy_config (app_type, max_retries,
streaming_first_byte_timeout, streaming_idle_timeout, non_streaming_timeout,
circuit_failure_threshold, circuit_success_threshold, circuit_timeout_seconds,
circuit_error_rate_threshold, circuit_min_requests)
VALUES ('grokbuild', 3, 60, 120, 600, 4, 2, 60, 0.6, 10)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
}
// 9. Provider Health 表
conn.execute("CREATE TABLE IF NOT EXISTS provider_health (
provider_id TEXT NOT NULL, app_type TEXT NOT NULL, is_healthy INTEGER NOT NULL DEFAULT 1,
consecutive_failures INTEGER NOT NULL DEFAULT 0, last_success_at TEXT, last_failure_at TEXT,
last_error TEXT, updated_at TEXT NOT NULL,
PRIMARY KEY (provider_id, app_type),
FOREIGN KEY (provider_id, app_type) REFERENCES providers(id, app_type) ON DELETE CASCADE
)", []).map_err(|e| AppError::Database(e.to_string()))?;
// 10. Proxy Request Logs 表
// pricing_model = 写入时实际用于计价的模型名(pricing_model_source 解析结果),
// 回填按它重算;NULL 表示 v11 之前的历史行,'' 表示未计价的错误行。
conn.execute("CREATE TABLE IF NOT EXISTS proxy_request_logs (
request_id TEXT PRIMARY KEY, provider_id TEXT NOT NULL, app_type TEXT NOT NULL, model TEXT NOT NULL,
request_model TEXT,
pricing_model TEXT,
input_tokens INTEGER NOT NULL DEFAULT 0, output_tokens INTEGER NOT NULL DEFAULT 0,
cache_read_tokens INTEGER NOT NULL DEFAULT 0, cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
input_token_semantics INTEGER NOT NULL DEFAULT 0,
input_cost_usd TEXT NOT NULL DEFAULT '0', output_cost_usd TEXT NOT NULL DEFAULT '0',
cache_read_cost_usd TEXT NOT NULL DEFAULT '0', cache_creation_cost_usd TEXT NOT NULL DEFAULT '0',
total_cost_usd TEXT NOT NULL DEFAULT '0', latency_ms INTEGER NOT NULL, first_token_ms INTEGER,
duration_ms INTEGER, status_code INTEGER NOT NULL, error_message TEXT, session_id TEXT,
provider_type TEXT, is_streaming INTEGER NOT NULL DEFAULT 0,
cost_multiplier TEXT NOT NULL DEFAULT '1.0', created_at INTEGER NOT NULL,
data_source TEXT NOT NULL DEFAULT 'proxy'
)", []).map_err(|e| AppError::Database(e.to_string()))?;
conn.execute("CREATE INDEX IF NOT EXISTS idx_request_logs_provider ON proxy_request_logs(provider_id, app_type)", [])
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute("CREATE INDEX IF NOT EXISTS idx_request_logs_created_at ON proxy_request_logs(created_at)", [])
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_request_logs_model ON proxy_request_logs(model)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_request_logs_session ON proxy_request_logs(session_id)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_request_logs_status ON proxy_request_logs(status_code)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
Self::create_request_logs_usage_indexes_if_supported(conn)?;
// 11. Model Pricing 表
conn.execute(
"CREATE TABLE IF NOT EXISTS model_pricing (
model_id TEXT PRIMARY KEY, display_name TEXT NOT NULL,
input_cost_per_million TEXT NOT NULL, output_cost_per_million TEXT NOT NULL,
cache_read_cost_per_million TEXT NOT NULL DEFAULT '0',
cache_creation_cost_per_million TEXT NOT NULL DEFAULT '0'
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 12. Stream Check Logs 表
conn.execute("CREATE TABLE IF NOT EXISTS stream_check_logs (
id INTEGER PRIMARY KEY AUTOINCREMENT, provider_id TEXT NOT NULL, provider_name TEXT NOT NULL,
app_type TEXT NOT NULL, status TEXT NOT NULL, success INTEGER NOT NULL, message TEXT NOT NULL,
response_time_ms INTEGER, http_status INTEGER, model_used TEXT,
retry_count INTEGER DEFAULT 0, tested_at INTEGER NOT NULL
)", []).map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_stream_check_logs_provider
ON stream_check_logs(app_type, provider_id, tested_at DESC)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 注意:circuit_breaker_config 已合并到 proxy_config 表中
// 16. Proxy Live Backup 表 (Live 配置备份)
conn.execute(
"CREATE TABLE IF NOT EXISTS proxy_live_backup (
app_type TEXT PRIMARY KEY, original_config TEXT NOT NULL, backed_up_at TEXT NOT NULL
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 17. Usage Daily Rollups 表 (日聚合统计)
// request_model 保留路由接管的「客户端别名 → 真实模型」映射维度,
// pricing_model 保留写入时的计价基准(request 计价模式下与 model 分叉),
// 否则明细被 prune 后接管计费不可审计;历史行迁移时填 ''(未知)。
conn.execute(
"CREATE TABLE IF NOT EXISTS usage_daily_rollups (
date TEXT NOT NULL,
app_type TEXT NOT NULL,
provider_id TEXT NOT NULL,
model TEXT NOT NULL,
request_model TEXT NOT NULL DEFAULT '',
pricing_model TEXT NOT NULL DEFAULT '',
request_count INTEGER NOT NULL DEFAULT 0,
success_count INTEGER NOT NULL DEFAULT 0,
input_tokens INTEGER NOT NULL DEFAULT 0,
output_tokens INTEGER NOT NULL DEFAULT 0,
cache_read_tokens INTEGER NOT NULL DEFAULT 0,
cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
input_token_semantics INTEGER NOT NULL DEFAULT 0,
total_cost_usd TEXT NOT NULL DEFAULT '0',
avg_latency_ms INTEGER NOT NULL DEFAULT 0,
PRIMARY KEY (date, app_type, provider_id, model, request_model, pricing_model)
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 18. Session Log Sync 表 (会话日志同步状态)
conn.execute(
"CREATE TABLE IF NOT EXISTS session_log_sync (
file_path TEXT PRIMARY KEY,
last_modified INTEGER NOT NULL,
last_line_offset INTEGER NOT NULL DEFAULT 0,
last_synced_at INTEGER NOT NULL
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 19. Profiles 表(全应用共享的项目实体,payload 按 app 分槽快照
// 供应商/MCP/Skills/Prompt;各应用分组的 current 标记在 settings 表)
conn.execute(
"CREATE TABLE IF NOT EXISTS profiles (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
payload TEXT NOT NULL,
sort_order INTEGER,
created_at INTEGER,
updated_at INTEGER
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
// 修复跑过未发布开发版的库:current 标记曾是全局 key,现按应用分组
// (随 v12 定稿为 current_profile_id_<scope>,不单独 bump 版本)
if conn
.execute(
"INSERT OR REPLACE INTO settings (key, value)
SELECT 'current_profile_id_claude', value FROM settings
WHERE key = 'current_profile_id'",
[],
)
.is_ok()
{
let _ = conn.execute("DELETE FROM settings WHERE key = 'current_profile_id'", []);
}
// 尝试添加 live_takeover_active 列到 proxy_config 表
let _ = conn.execute(
"ALTER TABLE proxy_config ADD COLUMN live_takeover_active INTEGER NOT NULL DEFAULT 0",
[],
);
// 尝试添加基础配置列到 proxy_config 表(兼容 v3.9.0-2 升级)
let _ = conn.execute(
"ALTER TABLE proxy_config ADD COLUMN proxy_enabled INTEGER NOT NULL DEFAULT 0",
[],
);
let _ = conn.execute(
"ALTER TABLE proxy_config ADD COLUMN listen_address TEXT NOT NULL DEFAULT '127.0.0.1'",
[],
);
let _ = conn.execute(
"ALTER TABLE proxy_config ADD COLUMN listen_port INTEGER NOT NULL DEFAULT 15721",
[],
);
let _ = conn.execute(
"ALTER TABLE proxy_config ADD COLUMN enable_logging INTEGER NOT NULL DEFAULT 1",
[],
);
// 尝试添加超时配置列到 proxy_config 表
let _ = conn.execute(
"ALTER TABLE proxy_config ADD COLUMN streaming_first_byte_timeout INTEGER NOT NULL DEFAULT 60",
[],
);
let _ = conn.execute(
"ALTER TABLE proxy_config ADD COLUMN streaming_idle_timeout INTEGER NOT NULL DEFAULT 120",
[],
);
let _ = conn.execute(
"ALTER TABLE proxy_config ADD COLUMN non_streaming_timeout INTEGER NOT NULL DEFAULT 600",
[],
);
// 兼容:若旧版 proxy_config 仍为单例结构(无 app_type),则在启动时直接转换为三行结构
// 说明:user_version=2 时不会再触发 v1->v2 迁移,但新代码查询依赖 app_type 列。
if Self::table_exists(conn, "proxy_config")?
&& !Self::has_column(conn, "proxy_config", "app_type")?
{
Self::migrate_proxy_config_to_per_app(conn)?;
}
// 确保 in_failover_queue 列存在(对于已存在的 v2 数据库)
Self::add_column_if_missing(
conn,
"providers",
"in_failover_queue",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
// 删除旧的 failover_queue 表(如果存在)
let _ = conn.execute("DROP INDEX IF EXISTS idx_failover_queue_order", []);
let _ = conn.execute("DROP TABLE IF EXISTS failover_queue", []);
// 为故障转移队列创建索引(基于 providers 表)
let _ = conn.execute(
"CREATE INDEX IF NOT EXISTS idx_providers_failover
ON providers(app_type, in_failover_queue, sort_index)",
[],
);
Ok(())
}
/// 应用 Schema 迁移
pub(crate) fn apply_schema_migrations(&self) -> Result<(), AppError> {
let conn = lock_conn!(self.conn);
Self::apply_schema_migrations_on_conn(&conn)
}
/// 在指定连接上应用 Schema 迁移
pub(crate) fn apply_schema_migrations_on_conn(conn: &Connection) -> Result<(), AppError> {
conn.execute("SAVEPOINT schema_migration;", [])
.map_err(|e| AppError::Database(format!("开启迁移 savepoint 失败: {e}")))?;
let mut version = Self::get_user_version(conn)?;
if version > SCHEMA_VERSION {
conn.execute("ROLLBACK TO schema_migration;", []).ok();
conn.execute("RELEASE schema_migration;", []).ok();
return Err(AppError::Database(format!(
"数据库版本过新({version}),当前应用仅支持 {SCHEMA_VERSION},请升级应用后再尝试。"
)));
}
let result = (|| {
while version < SCHEMA_VERSION {
match version {
0 => {
log::info!("检测到 user_version=0,迁移到 1(补齐缺失列并设置版本)");
Self::migrate_v0_to_v1(conn)?;
Self::set_user_version(conn, 1)?;
}
1 => {
log::info!(
"迁移数据库从 v1 到 v2(添加使用统计表和完整字段,重构 skills 表)"
);
Self::migrate_v1_to_v2(conn)?;
Self::set_user_version(conn, 2)?;
}
2 => {
log::info!("迁移数据库从 v2 到 v3(Skills 统一管理架构)");
Self::migrate_v2_to_v3(conn)?;
Self::set_user_version(conn, 3)?;
}
3 => {
log::info!("迁移数据库从 v3 到 v4OpenCode 支持)");
Self::migrate_v3_to_v4(conn)?;
Self::set_user_version(conn, 4)?;
}
4 => {
log::info!("迁移数据库从 v4 到 v5(计费模式支持)");
Self::migrate_v4_to_v5(conn)?;
Self::set_user_version(conn, 5)?;
}
5 => {
log::info!("迁移数据库从 v5 到 v6(使用量聚合表 + Copilot 模板类型统一)");
Self::migrate_v5_to_v6(conn)?;
Self::set_user_version(conn, 6)?;
}
6 => {
log::info!("迁移数据库从 v6 到 v7(Skills 更新检测支持)");
Self::migrate_v6_to_v7(conn)?;
Self::set_user_version(conn, 7)?;
}
7 => {
log::info!("迁移数据库从 v7 到 v8(会话日志使用追踪 + 修正模型定价)");
Self::migrate_v7_to_v8(conn)?;
Self::set_user_version(conn, 8)?;
}
8 => {
log::info!("迁移数据库从 v8 到 v9(全面补充模型定价)");
Self::migrate_v8_to_v9(conn)?;
Self::set_user_version(conn, 9)?;
}
9 => {
log::info!("迁移数据库从 v9 到 v10(添加 Hermes Agent 支持)");
Self::migrate_v9_to_v10(conn)?;
Self::set_user_version(conn, 10)?;
}
10 => {
log::info!("迁移数据库从 v10 到 v11usage_daily_rollups 保留 request_model 维度)");
Self::migrate_v10_to_v11(conn)?;
Self::set_user_version(conn, 11)?;
}
11 => {
log::info!("迁移数据库从 v11 到 v12(添加项目 Profiles 表)");
Self::migrate_v11_to_v12(conn)?;
Self::set_user_version(conn, 12)?;
}
12 => {
log::info!("迁移数据库从 v12 到 v13(记录输入 token 缓存语义)");
Self::migrate_v12_to_v13(conn)?;
Self::set_user_version(conn, 13)?;
}
13 => {
log::info!("迁移数据库从 v13 到 v14(添加 Grok Build 代理配置)");
Self::migrate_v13_to_v14(conn)?;
Self::set_user_version(conn, 14)?;
}
14 => {
log::info!("迁移数据库从 v14 到 v15Skills/MCP 添加 Grok Build 支持)");
Self::migrate_v14_to_v15(conn)?;
Self::set_user_version(conn, 15)?;
}
_ => {
return Err(AppError::Database(format!(
"未知的数据库版本 {version},无法迁移到 {SCHEMA_VERSION}"
)));
}
}
version = Self::get_user_version(conn)?;
}
Ok(())
})();
match result {
Ok(_) => {
conn.execute("RELEASE schema_migration;", [])
.map_err(|e| AppError::Database(format!("提交迁移 savepoint 失败: {e}")))?;
Ok(())
}
Err(e) => {
conn.execute("ROLLBACK TO schema_migration;", []).ok();
conn.execute("RELEASE schema_migration;", []).ok();
Err(e)
}
}
}
/// v0 -> v1 迁移:补齐所有缺失列
fn migrate_v0_to_v1(conn: &Connection) -> Result<(), AppError> {
// providers 表
Self::add_column_if_missing(conn, "providers", "category", "TEXT")?;
Self::add_column_if_missing(conn, "providers", "created_at", "INTEGER")?;
Self::add_column_if_missing(conn, "providers", "sort_index", "INTEGER")?;
Self::add_column_if_missing(conn, "providers", "notes", "TEXT")?;
Self::add_column_if_missing(conn, "providers", "icon", "TEXT")?;
Self::add_column_if_missing(conn, "providers", "icon_color", "TEXT")?;
Self::add_column_if_missing(conn, "providers", "meta", "TEXT NOT NULL DEFAULT '{}'")?;
Self::add_column_if_missing(
conn,
"providers",
"is_current",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
// provider_endpoints 表
Self::add_column_if_missing(conn, "provider_endpoints", "added_at", "INTEGER")?;
// mcp_servers 表
Self::add_column_if_missing(conn, "mcp_servers", "description", "TEXT")?;
Self::add_column_if_missing(conn, "mcp_servers", "homepage", "TEXT")?;
Self::add_column_if_missing(conn, "mcp_servers", "docs", "TEXT")?;
Self::add_column_if_missing(conn, "mcp_servers", "tags", "TEXT NOT NULL DEFAULT '[]'")?;
Self::add_column_if_missing(
conn,
"mcp_servers",
"enabled_codex",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
Self::add_column_if_missing(
conn,
"mcp_servers",
"enabled_gemini",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
// prompts 表
Self::add_column_if_missing(conn, "prompts", "description", "TEXT")?;
Self::add_column_if_missing(conn, "prompts", "enabled", "BOOLEAN NOT NULL DEFAULT 1")?;
Self::add_column_if_missing(conn, "prompts", "created_at", "INTEGER")?;
Self::add_column_if_missing(conn, "prompts", "updated_at", "INTEGER")?;
// skills 表
Self::add_column_if_missing(conn, "skills", "installed_at", "INTEGER NOT NULL DEFAULT 0")?;
// skill_repos 表
Self::add_column_if_missing(
conn,
"skill_repos",
"branch",
"TEXT NOT NULL DEFAULT 'main'",
)?;
Self::add_column_if_missing(conn, "skill_repos", "enabled", "BOOLEAN NOT NULL DEFAULT 1")?;
// 注意: skills_path 字段已被移除,因为现在支持全仓库递归扫描
Ok(())
}
/// v1 -> v2 迁移:添加使用统计表和完整字段,重构 skills 表
fn migrate_v1_to_v2(conn: &Connection) -> Result<(), AppError> {
// providers 表字段
Self::add_column_if_missing(
conn,
"providers",
"cost_multiplier",
"TEXT NOT NULL DEFAULT '1.0'",
)?;
Self::add_column_if_missing(conn, "providers", "limit_daily_usd", "TEXT")?;
Self::add_column_if_missing(conn, "providers", "limit_monthly_usd", "TEXT")?;
Self::add_column_if_missing(conn, "providers", "provider_type", "TEXT")?;
Self::add_column_if_missing(
conn,
"providers",
"in_failover_queue",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
// 添加代理超时配置字段
if Self::table_exists(conn, "proxy_config")? {
// 兼容旧版本缺失的基础字段
Self::add_column_if_missing(
conn,
"proxy_config",
"proxy_enabled",
"INTEGER NOT NULL DEFAULT 0",
)?;
Self::add_column_if_missing(
conn,
"proxy_config",
"listen_address",
"TEXT NOT NULL DEFAULT '127.0.0.1'",
)?;
Self::add_column_if_missing(
conn,
"proxy_config",
"listen_port",
"INTEGER NOT NULL DEFAULT 15721",
)?;
Self::add_column_if_missing(
conn,
"proxy_config",
"enable_logging",
"INTEGER NOT NULL DEFAULT 1",
)?;
Self::add_column_if_missing(
conn,
"proxy_config",
"streaming_first_byte_timeout",
"INTEGER NOT NULL DEFAULT 60",
)?;
Self::add_column_if_missing(
conn,
"proxy_config",
"streaming_idle_timeout",
"INTEGER NOT NULL DEFAULT 120",
)?;
Self::add_column_if_missing(
conn,
"proxy_config",
"non_streaming_timeout",
"INTEGER NOT NULL DEFAULT 600",
)?;
}
// 删除旧的 failover_queue 表(如果存在)
conn.execute("DROP INDEX IF EXISTS idx_failover_queue_order", [])
.map_err(|e| AppError::Database(format!("删除 failover_queue 索引失败: {e}")))?;
conn.execute("DROP TABLE IF EXISTS failover_queue", [])
.map_err(|e| AppError::Database(format!("删除 failover_queue 表失败: {e}")))?;
// 创建 failover 索引
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_providers_failover
ON providers(app_type, in_failover_queue, sort_index)",
[],
)
.map_err(|e| AppError::Database(format!("创建 failover 索引失败: {e}")))?;
// proxy_request_logs 表
conn.execute("CREATE TABLE IF NOT EXISTS proxy_request_logs (
request_id TEXT PRIMARY KEY, provider_id TEXT NOT NULL, app_type TEXT NOT NULL, model TEXT NOT NULL,
request_model TEXT,
input_tokens INTEGER NOT NULL DEFAULT 0, output_tokens INTEGER NOT NULL DEFAULT 0,
cache_read_tokens INTEGER NOT NULL DEFAULT 0, cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
input_token_semantics INTEGER NOT NULL DEFAULT 0,
input_cost_usd TEXT NOT NULL DEFAULT '0', output_cost_usd TEXT NOT NULL DEFAULT '0',
cache_read_cost_usd TEXT NOT NULL DEFAULT '0', cache_creation_cost_usd TEXT NOT NULL DEFAULT '0',
total_cost_usd TEXT NOT NULL DEFAULT '0', latency_ms INTEGER NOT NULL, first_token_ms INTEGER,
duration_ms INTEGER, status_code INTEGER NOT NULL, error_message TEXT, session_id TEXT,
provider_type TEXT, is_streaming INTEGER NOT NULL DEFAULT 0,
cost_multiplier TEXT NOT NULL DEFAULT '1.0', created_at INTEGER NOT NULL
)", [])?;
// 为已存在的表添加新字段
Self::add_column_if_missing(conn, "proxy_request_logs", "provider_type", "TEXT")?;
Self::add_column_if_missing(
conn,
"proxy_request_logs",
"is_streaming",
"INTEGER NOT NULL DEFAULT 0",
)?;
Self::add_column_if_missing(
conn,
"proxy_request_logs",
"cost_multiplier",
"TEXT NOT NULL DEFAULT '1.0'",
)?;
Self::add_column_if_missing(conn, "proxy_request_logs", "first_token_ms", "INTEGER")?;
Self::add_column_if_missing(conn, "proxy_request_logs", "duration_ms", "INTEGER")?;
// model_pricing 表
conn.execute(
"CREATE TABLE IF NOT EXISTS model_pricing (
model_id TEXT PRIMARY KEY, display_name TEXT NOT NULL,
input_cost_per_million TEXT NOT NULL, output_cost_per_million TEXT NOT NULL,
cache_read_cost_per_million TEXT NOT NULL DEFAULT '0',
cache_creation_cost_per_million TEXT NOT NULL DEFAULT '0'
)",
[],
)?;
// 清空并重新插入模型定价
conn.execute("DELETE FROM model_pricing", [])
.map_err(|e| AppError::Database(format!("清空模型定价失败: {e}")))?;
Self::seed_model_pricing(conn)?;
// 重构 skills 表(添加 app_type 字段)
Self::migrate_skills_table(conn)?;
// 重构 proxy_config 为三行结构(每应用独立配置)
Self::migrate_proxy_config_to_per_app(conn)?;
Ok(())
}
/// 将 proxy_config 迁移为三行结构(每应用独立配置)
fn migrate_proxy_config_to_per_app(conn: &Connection) -> Result<(), AppError> {
// 检查是否已经是新表结构(幂等性)
if !Self::table_exists(conn, "proxy_config")? {
// 表不存在,跳过迁移(新安装)
return Ok(());
}
if Self::has_column(conn, "proxy_config", "app_type")? {
// 已经是三行结构,跳过迁移
log::info!("proxy_config 已经是三行结构,跳过迁移");
return Ok(());
}
// 读取旧配置
let old_config = conn
.query_row(
"SELECT listen_address, listen_port, max_retries, enable_logging,
streaming_first_byte_timeout, streaming_idle_timeout, non_streaming_timeout
FROM proxy_config WHERE id = 1",
[],
|row| {
Ok((
row.get::<_, String>(0)?,
row.get::<_, i32>(1)?,
row.get::<_, i32>(2)?,
row.get::<_, i32>(3)?,
row.get::<_, i32>(4).unwrap_or(30),
row.get::<_, i32>(5).unwrap_or(60),
row.get::<_, i32>(6).unwrap_or(300),
))
},
)
.unwrap_or_else(|_| ("127.0.0.1".to_string(), 5000, 3, 1, 30, 60, 300));
let old_cb = conn.query_row(
"SELECT failure_threshold, success_threshold, timeout_seconds, error_rate_threshold, min_requests
FROM circuit_breaker_config WHERE id = 1", [],
|row| Ok((row.get::<_, i32>(0)?, row.get::<_, i32>(1)?, row.get::<_, i64>(2)?,
row.get::<_, f64>(3)?, row.get::<_, i32>(4)?))
).unwrap_or((5, 2, 60, 0.5, 10));
let get_bool = |key: &str| -> bool {
conn.query_row("SELECT value FROM settings WHERE key = ?", [key], |r| {
r.get::<_, String>(0)
})
.map(|v| v == "true" || v == "1")
.unwrap_or(false)
};
let apps = [
(
"claude",
get_bool("proxy_takeover_claude"),
get_bool("auto_failover_enabled_claude"),
6,
45,
90,
8,
3,
90,
0.6,
15,
),
(
"codex",
get_bool("proxy_takeover_codex"),
get_bool("auto_failover_enabled_codex"),
3,
old_config.4,
old_config.5,
old_cb.0,
old_cb.1,
old_cb.2,
old_cb.3,
old_cb.4,
),
(
"gemini",
get_bool("proxy_takeover_gemini"),
get_bool("auto_failover_enabled_gemini"),
5,
old_config.4,
old_config.5,
old_cb.0,
old_cb.1,
old_cb.2,
old_cb.3,
old_cb.4,
),
(
"grokbuild",
false,
false,
3,
old_config.4,
old_config.5,
old_cb.0,
old_cb.1,
old_cb.2,
old_cb.3,
old_cb.4,
),
];
// 创建新表
conn.execute("DROP TABLE IF EXISTS proxy_config_new", [])?;
conn.execute("CREATE TABLE proxy_config_new (
app_type TEXT PRIMARY KEY CHECK (app_type IN ('claude','codex','gemini','grokbuild')),
proxy_enabled INTEGER NOT NULL DEFAULT 0, listen_address TEXT NOT NULL DEFAULT '127.0.0.1',
listen_port INTEGER NOT NULL DEFAULT 15721, enable_logging INTEGER NOT NULL DEFAULT 1,
enabled INTEGER NOT NULL DEFAULT 0, auto_failover_enabled INTEGER NOT NULL DEFAULT 0,
max_retries INTEGER NOT NULL DEFAULT 3, streaming_first_byte_timeout INTEGER NOT NULL DEFAULT 60,
streaming_idle_timeout INTEGER NOT NULL DEFAULT 120, non_streaming_timeout INTEGER NOT NULL DEFAULT 600,
circuit_failure_threshold INTEGER NOT NULL DEFAULT 4, circuit_success_threshold INTEGER NOT NULL DEFAULT 2,
circuit_timeout_seconds INTEGER NOT NULL DEFAULT 60, circuit_error_rate_threshold REAL NOT NULL DEFAULT 0.6,
circuit_min_requests INTEGER NOT NULL DEFAULT 10,
default_cost_multiplier TEXT NOT NULL DEFAULT '1',
pricing_model_source TEXT NOT NULL DEFAULT 'response',
live_takeover_active INTEGER NOT NULL DEFAULT 0,
created_at TEXT NOT NULL DEFAULT (datetime('now')), updated_at TEXT NOT NULL DEFAULT (datetime('now'))
)", [])?;
// 插入三行配置
for (app, takeover, failover, retries, fb, idle, cb_f, cb_s, cb_t, cb_r, cb_m) in apps {
conn.execute(
"INSERT INTO proxy_config_new (app_type, proxy_enabled, listen_address, listen_port, enable_logging,
enabled, auto_failover_enabled, max_retries, streaming_first_byte_timeout, streaming_idle_timeout,
non_streaming_timeout, circuit_failure_threshold, circuit_success_threshold, circuit_timeout_seconds,
circuit_error_rate_threshold, circuit_min_requests)
VALUES (?1, 0, ?2, ?3, ?4, ?5, ?6, ?7, ?8, ?9, ?10, ?11, ?12, ?13, ?14, ?15)",
rusqlite::params![app, old_config.0, old_config.1, old_config.3,
if takeover { 1 } else { 0 }, if failover { 1 } else { 0 },
retries, fb, idle, old_config.6, cb_f, cb_s, cb_t, cb_r, cb_m]
).map_err(|e| AppError::Database(format!("插入 {app} 配置失败: {e}")))?;
}
// 替换表并清理
conn.execute("DROP TABLE IF EXISTS proxy_config", [])?;
conn.execute("ALTER TABLE proxy_config_new RENAME TO proxy_config", [])?;
conn.execute("DROP TABLE IF EXISTS circuit_breaker_config", [])?;
conn.execute("DELETE FROM settings WHERE key LIKE 'proxy_takeover_%'", [])?;
conn.execute(
"DELETE FROM settings WHERE key LIKE 'auto_failover_enabled_%'",
[],
)?;
log::info!("proxy_config 已迁移为三行结构");
Ok(())
}
/// 迁移 skills 表:从单 key 主键改为 (directory, app_type) 复合主键
fn migrate_skills_table(conn: &Connection) -> Result<(), AppError> {
// v3 结构(统一管理架构)已经是更高版本的 skills 表:
// - 主键为 id
// - 包含 enabled_claude / enabled_codex / enabled_gemini 等列
// 在这种情况下,不应再执行 v1 -> v2 的迁移逻辑,否则会因列不匹配而失败。
if Self::has_column(conn, "skills", "enabled_claude")?
|| Self::has_column(conn, "skills", "id")?
{
log::info!("skills 表已经是 v3 结构,跳过 v1 -> v2 迁移");
return Ok(());
}
// 检查是否已经是新表结构
if Self::has_column(conn, "skills", "app_type")? {
log::info!("skills 表已经包含 app_type 字段,跳过迁移");
return Ok(());
}
log::info!("开始迁移 skills 表...");
// 1. 重命名旧表
conn.execute("ALTER TABLE skills RENAME TO skills_old", [])
.map_err(|e| AppError::Database(format!("重命名旧 skills 表失败: {e}")))?;
// 2. 创建新表
conn.execute(
"CREATE TABLE skills (
directory TEXT NOT NULL,
app_type TEXT NOT NULL,
installed BOOLEAN NOT NULL DEFAULT 0,
installed_at INTEGER NOT NULL DEFAULT 0,
PRIMARY KEY (directory, app_type)
)",
[],
)
.map_err(|e| AppError::Database(format!("创建新 skills 表失败: {e}")))?;
// 3. 迁移数据:解析 key 格式(如 "claude:my-skill" 或 "codex:foo"
// 旧数据如果没有前缀,默认为 claude
let mut stmt = conn
.prepare("SELECT key, installed, installed_at FROM skills_old")
.map_err(|e| AppError::Database(format!("查询旧 skills 数据失败: {e}")))?;
let old_skills: Vec<(String, bool, i64)> = stmt
.query_map([], |row| {
Ok((
row.get::<_, String>(0)?,
row.get::<_, bool>(1)?,
row.get::<_, i64>(2)?,
))
})
.map_err(|e| AppError::Database(format!("读取旧 skills 数据失败: {e}")))?
.collect::<Result<Vec<_>, _>>()
.map_err(|e| AppError::Database(format!("解析旧 skills 数据失败: {e}")))?;
let count = old_skills.len();
for (key, installed, installed_at) in old_skills {
// 解析 key: "app:directory" 或 "directory"(默认 claude
let (app_type, directory) = if let Some(idx) = key.find(':') {
let (app, dir) = key.split_at(idx);
(app.to_string(), dir[1..].to_string()) // 跳过冒号
} else {
("claude".to_string(), key.clone())
};
conn.execute(
"INSERT INTO skills (directory, app_type, installed, installed_at) VALUES (?1, ?2, ?3, ?4)",
rusqlite::params![directory, app_type, installed, installed_at],
)
.map_err(|e| {
AppError::Database(format!("迁移 skill {key} 到新表失败: {e}"))
})?;
}
// 4. 删除旧表
conn.execute("DROP TABLE skills_old", [])
.map_err(|e| AppError::Database(format!("删除旧 skills 表失败: {e}")))?;
log::info!("skills 表迁移完成,共迁移 {count} 条记录");
Ok(())
}
/// v2 -> v3 迁移:Skills 统一管理架构
///
/// 将 skills 表从 (directory, app_type) 复合主键结构迁移到统一的 id 主键结构,
/// 支持三应用启用标志(enabled_claude, enabled_codex, enabled_gemini)。
///
/// 迁移策略:
/// 1. 旧数据库只存储安装记录,真正的 skill 文件在文件系统
/// 2. 直接重建新表结构,后续由 SkillService 在首次启动时扫描文件系统重建数据
fn migrate_v2_to_v3(conn: &Connection) -> Result<(), AppError> {
// 检查是否已经是新结构(通过检查是否有 enabled_claude 列)
if Self::has_column(conn, "skills", "enabled_claude")? {
log::info!("skills 表已经是 v3 结构,跳过迁移");
return Ok(());
}
log::info!("开始迁移 skills 表到 v3 结构(统一管理架构)...");
// 1. 备份旧数据(用于日志和后续启动迁移)
let old_count: i64 = conn
.query_row("SELECT COUNT(*) FROM skills", [], |row| row.get(0))
.unwrap_or(0);
log::info!("旧 skills 表有 {old_count} 条记录");
let mut stmt = conn
.prepare(
"SELECT directory, app_type FROM skills
WHERE installed = 1",
)
.map_err(|e| AppError::Database(format!("查询旧 skills 快照失败: {e}")))?;
let snapshot_rows: Vec<LegacySkillMigrationRow> = stmt
.query_map([], |row| {
Ok(LegacySkillMigrationRow {
directory: row.get(0)?,
app_type: row.get(1)?,
})
})
.map_err(|e| AppError::Database(format!("读取旧 skills 快照失败: {e}")))?
.collect::<Result<Vec<_>, _>>()
.map_err(|e| AppError::Database(format!("解析旧 skills 快照失败: {e}")))?;
let snapshot_json = serde_json::to_string(&snapshot_rows)
.map_err(|e| AppError::Database(format!("序列化旧 skills 快照失败: {e}")))?;
// 标记:需要在启动后从文件系统扫描并重建 Skills 数据
// 说明:v3 结构将 Skills 的 SSOT 迁移到 ~/.cc-switch/skills/
// 旧表只存“安装记录”,无法直接无损迁移到新结构,因此改为启动后扫描 app 目录导入。
let _ = conn.execute(
"INSERT OR REPLACE INTO settings (key, value) VALUES ('skills_ssot_migration_pending', 'true')",
[],
);
let _ = conn.execute(
"INSERT OR REPLACE INTO settings (key, value) VALUES ('skills_ssot_migration_snapshot', ?1)",
[snapshot_json],
);
// 2. 删除旧表
conn.execute("DROP TABLE IF EXISTS skills", [])
.map_err(|e| AppError::Database(format!("删除旧 skills 表失败: {e}")))?;
// 3. 创建新表
conn.execute(
"CREATE TABLE skills (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
description TEXT,
directory TEXT NOT NULL,
repo_owner TEXT,
repo_name TEXT,
repo_branch TEXT DEFAULT 'main',
readme_url TEXT,
enabled_claude BOOLEAN NOT NULL DEFAULT 0,
enabled_codex BOOLEAN NOT NULL DEFAULT 0,
enabled_gemini BOOLEAN NOT NULL DEFAULT 0,
installed_at INTEGER NOT NULL DEFAULT 0
)",
[],
)
.map_err(|e| AppError::Database(format!("创建新 skills 表失败: {e}")))?;
log::info!(
"skills 表已迁移到 v3 结构。\n\
注意:旧的安装记录已清除,首次启动时将自动扫描文件系统重建数据。"
);
Ok(())
}
/// v3 -> v4 迁移:添加 OpenCode 支持
///
/// 为 mcp_servers 和 skills 表添加 enabled_opencode 列。
fn migrate_v3_to_v4(conn: &Connection) -> Result<(), AppError> {
// 为 mcp_servers 表添加 enabled_opencode 列
Self::add_column_if_missing(
conn,
"mcp_servers",
"enabled_opencode",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
// 为 skills 表添加 enabled_opencode 列
Self::add_column_if_missing(
conn,
"skills",
"enabled_opencode",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
log::info!("v3 -> v4 迁移完成:已添加 OpenCode 支持");
Ok(())
}
/// v4 -> v5 迁移:新增计费模式配置与请求模型字段
fn migrate_v4_to_v5(conn: &Connection) -> Result<(), AppError> {
if Self::table_exists(conn, "proxy_config")? {
Self::add_column_if_missing(
conn,
"proxy_config",
"default_cost_multiplier",
"TEXT NOT NULL DEFAULT '1'",
)?;
Self::add_column_if_missing(
conn,
"proxy_config",
"pricing_model_source",
"TEXT NOT NULL DEFAULT 'response'",
)?;
}
if Self::table_exists(conn, "proxy_request_logs")? {
Self::add_column_if_missing(conn, "proxy_request_logs", "request_model", "TEXT")?;
}
log::info!("v4 -> v5 迁移完成:已添加计费模式与请求模型字段");
Ok(())
}
/// v5 -> v6 迁移:添加使用量日聚合表 + 统一 Copilot 模板类型
fn migrate_v5_to_v6(conn: &Connection) -> Result<(), AppError> {
// 1. 添加使用量日聚合表
conn.execute(
"CREATE TABLE IF NOT EXISTS usage_daily_rollups (
date TEXT NOT NULL,
app_type TEXT NOT NULL,
provider_id TEXT NOT NULL,
model TEXT NOT NULL,
request_count INTEGER NOT NULL DEFAULT 0,
success_count INTEGER NOT NULL DEFAULT 0,
input_tokens INTEGER NOT NULL DEFAULT 0,
output_tokens INTEGER NOT NULL DEFAULT 0,
cache_read_tokens INTEGER NOT NULL DEFAULT 0,
cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
total_cost_usd TEXT NOT NULL DEFAULT '0',
avg_latency_ms INTEGER NOT NULL DEFAULT 0,
PRIMARY KEY (date, app_type, provider_id, model)
)",
[],
)
.map_err(|e| AppError::Database(format!("创建 usage_daily_rollups 表失败: {e}")))?;
// 2. 统一 Copilot 模板类型为 github_copilot
let mut stmt = conn
.prepare("SELECT id, app_type, meta FROM providers")
.map_err(|e| AppError::Database(e.to_string()))?;
let rows = stmt
.query_map([], |row| {
Ok((
row.get::<_, String>(0)?,
row.get::<_, String>(1)?,
row.get::<_, String>(2)?,
))
})
.map_err(|e| AppError::Database(e.to_string()))?;
let mut updates = Vec::new();
for row in rows {
let (id, app_type, meta_str) = row.map_err(|e| AppError::Database(e.to_string()))?;
if let Ok(mut meta) = serde_json::from_str::<serde_json::Value>(&meta_str) {
let mut updated = false;
if let Some(usage_script) = meta.get_mut("usage_script") {
if let Some(template_type) = usage_script.get_mut("template_type") {
if template_type == "copilot" {
*template_type =
serde_json::Value::String("github_copilot".to_string());
updated = true;
}
}
}
if updated {
let new_meta_str = serde_json::to_string(&meta)
.map_err(|e| AppError::Database(e.to_string()))?;
updates.push((id, app_type, new_meta_str));
}
}
}
for (id, app_type, new_meta) in updates {
conn.execute(
"UPDATE providers SET meta = ?1 WHERE id = ?2 AND app_type = ?3",
params![new_meta, id, app_type],
)
.map_err(|e| AppError::Database(e.to_string()))?;
}
log::info!("v5 -> v6 迁移完成:已添加使用量日聚合表,统一 copilot 模板类型");
Ok(())
}
/// v6 -> v7: Skills 更新检测支持(content_hash + updated_at
fn migrate_v6_to_v7(conn: &Connection) -> Result<(), AppError> {
if Self::table_exists(conn, "skills")? {
Self::add_column_if_missing(conn, "skills", "content_hash", "TEXT")?;
Self::add_column_if_missing(
conn,
"skills",
"updated_at",
"INTEGER NOT NULL DEFAULT 0",
)?;
}
log::info!("v6 -> v7 迁移完成:已添加 content_hash 和 updated_at 列");
Ok(())
}
/// v7 -> v8: 会话日志使用追踪(无代理模式统计支持)
fn migrate_v7_to_v8(conn: &Connection) -> Result<(), AppError> {
// 1. 为 proxy_request_logs 添加 data_source 列,区分数据来源
if Self::table_exists(conn, "proxy_request_logs")? {
Self::add_column_if_missing(
conn,
"proxy_request_logs",
"data_source",
"TEXT NOT NULL DEFAULT 'proxy'",
)?;
Self::create_request_logs_usage_indexes_if_supported(conn)?;
}
// 2. 创建会话日志同步状态表
conn.execute(
"CREATE TABLE IF NOT EXISTS session_log_sync (
file_path TEXT PRIMARY KEY,
last_modified INTEGER NOT NULL,
last_line_offset INTEGER NOT NULL DEFAULT 0,
last_synced_at INTEGER NOT NULL
)",
[],
)
.map_err(|e| AppError::Database(format!("创建 session_log_sync 表失败: {e}")))?;
// 3. 修正国产模型定价:之前误将 CNY 值存为 USD 字段,统一转换为 USD
if Self::table_exists(conn, "model_pricing")? {
let pricing_fixes: &[(&str, &str, &str, &str, &str)] = &[
("deepseek-v3.2", "0.28", "0.42", "0.028", "0"),
("deepseek-v3.1", "0.55", "1.67", "0.055", "0"),
("deepseek-v3", "0.28", "1.11", "0.028", "0"),
("doubao-seed-code", "0.17", "1.11", "0.02", "0"),
("kimi-k2-thinking", "0.55", "2.20", "0.10", "0"),
("kimi-k2-0905", "0.55", "2.20", "0.10", "0"),
("kimi-k2-turbo", "1.11", "8.06", "0.14", "0"),
("minimax-m2.1", "0.27", "0.95", "0.03", "0"),
("minimax-m2.1-lightning", "0.27", "2.33", "0.03", "0"),
("minimax-m2", "0.27", "0.95", "0.03", "0"),
("glm-4.7", "0.39", "1.75", "0.04", "0"),
("glm-4.6", "0.28", "1.11", "0.03", "0"),
("mimo-v2-flash", "0.09", "0.29", "0.009", "0"),
];
for (model_id, input, output, cache_read, cache_creation) in pricing_fixes {
conn.execute(
"UPDATE model_pricing SET
input_cost_per_million = ?2,
output_cost_per_million = ?3,
cache_read_cost_per_million = ?4,
cache_creation_cost_per_million = ?5
WHERE model_id = ?1",
rusqlite::params![model_id, input, output, cache_read, cache_creation],
)
.map_err(|e| AppError::Database(format!("更新模型 {model_id} 定价失败: {e}")))?;
}
}
log::info!("v7 -> v8 迁移完成:data_source 列、session_log_sync 表、修正 13 个模型定价");
Ok(())
}
/// v8 → v9: 全面补充模型定价(清空 + 重新 seed)
fn migrate_v8_to_v9(conn: &Connection) -> Result<(), AppError> {
conn.execute(
"CREATE TABLE IF NOT EXISTS model_pricing (
model_id TEXT PRIMARY KEY, display_name TEXT NOT NULL,
input_cost_per_million TEXT NOT NULL, output_cost_per_million TEXT NOT NULL,
cache_read_cost_per_million TEXT NOT NULL DEFAULT '0',
cache_creation_cost_per_million TEXT NOT NULL DEFAULT '0'
)",
[],
)
.map_err(|e| AppError::Database(format!("创建 model_pricing 表失败: {e}")))?;
conn.execute("DELETE FROM model_pricing", [])
.map_err(|e| AppError::Database(format!("清空模型定价失败: {e}")))?;
Self::seed_model_pricing(conn)?;
log::info!("v8 -> v9 迁移完成:已刷新全部模型定价数据");
Ok(())
}
/// v9 -> v10 迁移:添加 Hermes Agent 支持
fn migrate_v9_to_v10(conn: &Connection) -> Result<(), AppError> {
Self::add_column_if_missing(
conn,
"mcp_servers",
"enabled_hermes",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
// skills table may not exist in databases migrated from very old versions
if Self::table_exists(conn, "skills")? {
Self::add_column_if_missing(
conn,
"skills",
"enabled_hermes",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
}
log::info!("v9 -> v10 迁移完成:已添加 Hermes Agent 支持");
Ok(())
}
/// v10 -> v11usage_daily_rollups 增加 request_model 维度(进入主键),
/// proxy_request_logs 增加 pricing_model 列(写入时的计价基准,回填依据)。
///
/// 路由接管下 model(真实上游模型)≠ request_model(客户端别名),
/// 旧 rollup 只按 model 聚合,明细 prune 后映射关系永久丢失、计费不可审计。
/// SQLite 改主键必须重建表;历史行的 request_model 已不可知,填 ''。
fn migrate_v10_to_v11(conn: &Connection) -> Result<(), AppError> {
// proxy_request_logs.pricing_modelNULL = v11 前的历史行(回填走
// model → 占位符回退 request_model 的旧逻辑),'' = 未计价的错误行
if Self::table_exists(conn, "proxy_request_logs")? {
Self::add_column_if_missing(conn, "proxy_request_logs", "pricing_model", "TEXT")?;
}
if !Self::table_exists(conn, "usage_daily_rollups")? {
log::info!("v10 -> v11usage_daily_rollups 不存在,跳过重建");
return Ok(());
}
conn.execute_batch(
"ALTER TABLE usage_daily_rollups RENAME TO usage_daily_rollups_v10;
CREATE TABLE usage_daily_rollups (
date TEXT NOT NULL,
app_type TEXT NOT NULL,
provider_id TEXT NOT NULL,
model TEXT NOT NULL,
request_model TEXT NOT NULL DEFAULT '',
pricing_model TEXT NOT NULL DEFAULT '',
request_count INTEGER NOT NULL DEFAULT 0,
success_count INTEGER NOT NULL DEFAULT 0,
input_tokens INTEGER NOT NULL DEFAULT 0,
output_tokens INTEGER NOT NULL DEFAULT 0,
cache_read_tokens INTEGER NOT NULL DEFAULT 0,
cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
total_cost_usd TEXT NOT NULL DEFAULT '0',
avg_latency_ms INTEGER NOT NULL DEFAULT 0,
PRIMARY KEY (date, app_type, provider_id, model, request_model, pricing_model)
);
INSERT INTO usage_daily_rollups
(date, app_type, provider_id, model, request_model, pricing_model,
request_count, success_count, input_tokens, output_tokens,
cache_read_tokens, cache_creation_tokens, total_cost_usd, avg_latency_ms)
SELECT date, app_type, provider_id, model, '', '',
request_count, success_count, input_tokens, output_tokens,
cache_read_tokens, cache_creation_tokens, total_cost_usd, avg_latency_ms
FROM usage_daily_rollups_v10;
DROP TABLE usage_daily_rollups_v10;",
)
.map_err(|e| {
AppError::Database(format!("v10 -> v11 重建 usage_daily_rollups 失败: {e}"))
})?;
log::info!(
"v10 -> v11 迁移完成:usage_daily_rollups 已保留 request_model/pricing_model 维度"
);
Ok(())
}
/// v11 -> v12 迁移:添加项目 Profiles 表
/// 与 create_tables_on_conn 中的建表语句保持一致(IF NOT EXISTS 保证幂等)
fn migrate_v11_to_v12(conn: &Connection) -> Result<(), AppError> {
conn.execute(
"CREATE TABLE IF NOT EXISTS profiles (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
payload TEXT NOT NULL,
sort_order INTEGER,
created_at INTEGER,
updated_at INTEGER
)",
[],
)
.map_err(|e| AppError::Database(format!("v11 -> v12 创建 profiles 表失败: {e}")))?;
Ok(())
}
/// v12 -> v13:记录 input_tokens 是否包含缓存写入。
///
/// 默认 0 表示旧版/未知语义;旧 Codex 行只包含 cache read,不包含
/// cache creation。新代理行会显式写入 1(total-inclusive) 或 2(fresh)。
fn migrate_v12_to_v13(conn: &Connection) -> Result<(), AppError> {
if Self::table_exists(conn, "proxy_request_logs")? {
Self::add_column_if_missing(
conn,
"proxy_request_logs",
"input_token_semantics",
"INTEGER NOT NULL DEFAULT 0",
)?;
}
if Self::table_exists(conn, "usage_daily_rollups")? {
Self::add_column_if_missing(
conn,
"usage_daily_rollups",
"input_token_semantics",
"INTEGER NOT NULL DEFAULT 0",
)?;
}
Ok(())
}
/// v13 -> v14: allow Grok Build to own an independent proxy configuration row.
fn migrate_v13_to_v14(conn: &Connection) -> Result<(), AppError> {
if !Self::table_exists(conn, "proxy_config")? {
return Ok(());
}
conn.execute("DROP TABLE IF EXISTS proxy_config_v14", [])
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"CREATE TABLE proxy_config_v14 (
app_type TEXT PRIMARY KEY CHECK (app_type IN ('claude','codex','gemini','grokbuild')),
proxy_enabled INTEGER NOT NULL DEFAULT 0,
listen_address TEXT NOT NULL DEFAULT '127.0.0.1',
listen_port INTEGER NOT NULL DEFAULT 15721,
enable_logging INTEGER NOT NULL DEFAULT 1,
enabled INTEGER NOT NULL DEFAULT 0,
auto_failover_enabled INTEGER NOT NULL DEFAULT 0,
max_retries INTEGER NOT NULL DEFAULT 3,
streaming_first_byte_timeout INTEGER NOT NULL DEFAULT 60,
streaming_idle_timeout INTEGER NOT NULL DEFAULT 120,
non_streaming_timeout INTEGER NOT NULL DEFAULT 600,
circuit_failure_threshold INTEGER NOT NULL DEFAULT 4,
circuit_success_threshold INTEGER NOT NULL DEFAULT 2,
circuit_timeout_seconds INTEGER NOT NULL DEFAULT 60,
circuit_error_rate_threshold REAL NOT NULL DEFAULT 0.6,
circuit_min_requests INTEGER NOT NULL DEFAULT 10,
default_cost_multiplier TEXT NOT NULL DEFAULT '1',
pricing_model_source TEXT NOT NULL DEFAULT 'response',
live_takeover_active INTEGER NOT NULL DEFAULT 0,
created_at TEXT NOT NULL DEFAULT (datetime('now')),
updated_at TEXT NOT NULL DEFAULT (datetime('now'))
)",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
let copied_columns = [
("app_type", "'claude'"),
("proxy_enabled", "0"),
("listen_address", "'127.0.0.1'"),
("listen_port", "15721"),
("enable_logging", "1"),
("enabled", "0"),
("auto_failover_enabled", "0"),
("max_retries", "3"),
("streaming_first_byte_timeout", "60"),
("streaming_idle_timeout", "120"),
("non_streaming_timeout", "600"),
("circuit_failure_threshold", "4"),
("circuit_success_threshold", "2"),
("circuit_timeout_seconds", "60"),
("circuit_error_rate_threshold", "0.6"),
("circuit_min_requests", "10"),
("default_cost_multiplier", "'1'"),
("pricing_model_source", "'response'"),
("live_takeover_active", "0"),
("created_at", "datetime('now')"),
("updated_at", "datetime('now')"),
]
.into_iter()
.map(|(column, fallback)| {
Self::has_column(conn, "proxy_config", column).map(|exists| {
if exists {
format!("\"{column}\"")
} else {
fallback.into()
}
})
})
.collect::<Result<Vec<_>, AppError>>()?
.join(", ");
let copy_sql = format!(
"INSERT INTO proxy_config_v14 (
app_type, proxy_enabled, listen_address, listen_port, enable_logging,
enabled, auto_failover_enabled, max_retries,
streaming_first_byte_timeout, streaming_idle_timeout, non_streaming_timeout,
circuit_failure_threshold, circuit_success_threshold, circuit_timeout_seconds,
circuit_error_rate_threshold, circuit_min_requests,
default_cost_multiplier, pricing_model_source, live_takeover_active,
created_at, updated_at
)
SELECT {copied_columns} FROM proxy_config"
);
conn.execute(&copy_sql, [])
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute("DROP TABLE proxy_config", [])
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute("ALTER TABLE proxy_config_v14 RENAME TO proxy_config", [])
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"INSERT OR IGNORE INTO proxy_config (app_type) VALUES ('grokbuild')",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
Ok(())
}
/// v14 -> v15: persist Grok Build enablement for unified Skills and MCP.
fn migrate_v14_to_v15(conn: &Connection) -> Result<(), AppError> {
if Self::table_exists(conn, "mcp_servers")? {
Self::add_column_if_missing(
conn,
"mcp_servers",
"enabled_grokbuild",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
}
if Self::table_exists(conn, "skills")? {
Self::add_column_if_missing(
conn,
"skills",
"enabled_grokbuild",
"BOOLEAN NOT NULL DEFAULT 0",
)?;
}
Ok(())
}
/// 插入默认模型定价数据
/// 格式: (model_id, display_name, input, output, cache_read, cache_creation)
/// 注意: model_id 使用短横线格式(如 claude-haiku-4-5),与 API 返回的模型名称标准化后一致
fn seed_model_pricing(conn: &Connection) -> Result<(), AppError> {
let pricing_data = [
// Claude Fable 5Opus 之上的新档)
(
"claude-fable-5",
"Claude Fable 5",
"10",
"50",
"1.00",
"12.50",
),
(
"claude-mythos-5",
"Claude Mythos 5",
"10",
"50",
"1.00",
"12.50",
),
// Claude 4.8 系列
(
"claude-opus-4-8",
"Claude Opus 4.8",
"5",
"25",
"0.50",
"6.25",
),
// Claude Sonnet 5list 价,与 Sonnet 4.6 一致;促销 $2/$10 至 2026-08-31 不入表)
(
"claude-sonnet-5",
"Claude Sonnet 5",
"3",
"15",
"0.30",
"3.75",
),
// Claude 4.7 系列
(
"claude-opus-4-7",
"Claude Opus 4.7",
"5",
"25",
"0.50",
"6.25",
),
// Claude 4.6 系列
(
"claude-opus-4-6-20260206",
"Claude Opus 4.6",
"5",
"25",
"0.50",
"6.25",
),
(
"claude-sonnet-4-6-20260217",
"Claude Sonnet 4.6",
"3",
"15",
"0.30",
"3.75",
),
// Claude 4.5 系列
(
"claude-opus-4-5-20251101",
"Claude Opus 4.5",
"5",
"25",
"0.50",
"6.25",
),
(
"claude-sonnet-4-5-20250929",
"Claude Sonnet 4.5",
"3",
"15",
"0.30",
"3.75",
),
(
"claude-haiku-4-5-20251001",
"Claude Haiku 4.5",
"1",
"5",
"0.10",
"1.25",
),
// Claude 4 系列 (Legacy Models)
(
"claude-opus-4-20250514",
"Claude Opus 4",
"15",
"75",
"1.50",
"18.75",
),
(
"claude-opus-4-1-20250805",
"Claude Opus 4.1",
"15",
"75",
"1.50",
"18.75",
),
(
"claude-sonnet-4-20250514",
"Claude Sonnet 4",
"3",
"15",
"0.30",
"3.75",
),
// Claude 3.5 系列
(
"claude-3-5-haiku-20241022",
"Claude 3.5 Haiku",
"0.80",
"4",
"0.08",
"1",
),
(
"claude-3-5-sonnet-20241022",
"Claude 3.5 Sonnet",
"3",
"15",
"0.30",
"3.75",
),
// GPT-5.6 系列(Sol / Terra / Luna2026-06 发布)
// 5.6 家族起 cache write 收 1.25× 输入价(此前 GPT 模型写缓存免费,勿回填旧系列)
("gpt-5.6-sol", "GPT-5.6 Sol", "5", "30", "0.50", "6.25"),
(
"gpt-5.6-terra",
"GPT-5.6 Terra",
"2.50",
"15",
"0.25",
"3.125",
),
("gpt-5.6-luna", "GPT-5.6 Luna", "1", "6", "0.10", "1.25"),
// 裸名 gpt-5.6 是 sol 的官方别名;effort 后缀对齐 gpt-5.5 系列的记账形态
("gpt-5.6", "GPT-5.6 Sol", "5", "30", "0.50", "6.25"),
("gpt-5.6-low", "GPT-5.6 Sol", "5", "30", "0.50", "6.25"),
("gpt-5.6-medium", "GPT-5.6 Sol", "5", "30", "0.50", "6.25"),
("gpt-5.6-high", "GPT-5.6 Sol", "5", "30", "0.50", "6.25"),
("gpt-5.6-xhigh", "GPT-5.6 Sol", "5", "30", "0.50", "6.25"),
("gpt-5.6-minimal", "GPT-5.6 Sol", "5", "30", "0.50", "6.25"),
// GPT-5.5 系列
("gpt-5.5", "GPT-5.5", "5", "30", "0.50", "0"),
("gpt-5.5-low", "GPT-5.5", "5", "30", "0.50", "0"),
("gpt-5.5-medium", "GPT-5.5", "5", "30", "0.50", "0"),
("gpt-5.5-high", "GPT-5.5", "5", "30", "0.50", "0"),
("gpt-5.5-xhigh", "GPT-5.5", "5", "30", "0.50", "0"),
("gpt-5.5-minimal", "GPT-5.5", "5", "30", "0.50", "0"),
// GPT-5.4 系列
("gpt-5.4", "GPT-5.4", "2.50", "15", "0.25", "0"),
("gpt-5.4-mini", "GPT-5.4 Mini", "0.75", "4.50", "0.075", "0"),
("gpt-5.4-nano", "GPT-5.4 Nano", "0.20", "1.25", "0.02", "0"),
// GPT-5.2 系列
("gpt-5.2", "GPT-5.2", "1.75", "14", "0.175", "0"),
("gpt-5.2-low", "GPT-5.2", "1.75", "14", "0.175", "0"),
("gpt-5.2-medium", "GPT-5.2", "1.75", "14", "0.175", "0"),
("gpt-5.2-high", "GPT-5.2", "1.75", "14", "0.175", "0"),
("gpt-5.2-xhigh", "GPT-5.2", "1.75", "14", "0.175", "0"),
("gpt-5.2-codex", "GPT-5.2 Codex", "1.75", "14", "0.175", "0"),
(
"gpt-5.2-codex-low",
"GPT-5.2 Codex",
"1.75",
"14",
"0.175",
"0",
),
(
"gpt-5.2-codex-medium",
"GPT-5.2 Codex",
"1.75",
"14",
"0.175",
"0",
),
(
"gpt-5.2-codex-high",
"GPT-5.2 Codex",
"1.75",
"14",
"0.175",
"0",
),
(
"gpt-5.2-codex-xhigh",
"GPT-5.2 Codex",
"1.75",
"14",
"0.175",
"0",
),
// GPT-5.3 Codex 系列
("gpt-5.3-codex", "GPT-5.3 Codex", "1.75", "14", "0.175", "0"),
(
"gpt-5.3-codex-low",
"GPT-5.3 Codex",
"1.75",
"14",
"0.175",
"0",
),
(
"gpt-5.3-codex-medium",
"GPT-5.3 Codex",
"1.75",
"14",
"0.175",
"0",
),
(
"gpt-5.3-codex-high",
"GPT-5.3 Codex",
"1.75",
"14",
"0.175",
"0",
),
(
"gpt-5.3-codex-xhigh",
"GPT-5.3 Codex",
"1.75",
"14",
"0.175",
"0",
),
// GPT-5.1 系列
("gpt-5.1", "GPT-5.1", "1.25", "10", "0.125", "0"),
("gpt-5.1-low", "GPT-5.1", "1.25", "10", "0.125", "0"),
("gpt-5.1-medium", "GPT-5.1", "1.25", "10", "0.125", "0"),
("gpt-5.1-high", "GPT-5.1", "1.25", "10", "0.125", "0"),
("gpt-5.1-minimal", "GPT-5.1", "1.25", "10", "0.125", "0"),
("gpt-5.1-codex", "GPT-5.1 Codex", "1.25", "10", "0.125", "0"),
(
"gpt-5.1-codex-mini",
"GPT-5.1 Codex",
"1.25",
"10",
"0.125",
"0",
),
(
"gpt-5.1-codex-max",
"GPT-5.1 Codex",
"1.25",
"10",
"0.125",
"0",
),
(
"gpt-5.1-codex-max-high",
"GPT-5.1 Codex",
"1.25",
"10",
"0.125",
"0",
),
(
"gpt-5.1-codex-max-xhigh",
"GPT-5.1 Codex",
"1.25",
"10",
"0.125",
"0",
),
// GPT-5 系列
("gpt-5", "GPT-5", "1.25", "10", "0.125", "0"),
("gpt-5-low", "GPT-5", "1.25", "10", "0.125", "0"),
("gpt-5-medium", "GPT-5", "1.25", "10", "0.125", "0"),
("gpt-5-high", "GPT-5", "1.25", "10", "0.125", "0"),
("gpt-5-minimal", "GPT-5", "1.25", "10", "0.125", "0"),
("gpt-5-codex", "GPT-5 Codex", "1.25", "10", "0.125", "0"),
("gpt-5-codex-low", "GPT-5 Codex", "1.25", "10", "0.125", "0"),
(
"gpt-5-codex-medium",
"GPT-5 Codex",
"1.25",
"10",
"0.125",
"0",
),
(
"gpt-5-codex-high",
"GPT-5 Codex",
"1.25",
"10",
"0.125",
"0",
),
(
"gpt-5-codex-mini",
"GPT-5 Codex",
"1.25",
"10",
"0.125",
"0",
),
(
"gpt-5-codex-mini-medium",
"GPT-5 Codex",
"1.25",
"10",
"0.125",
"0",
),
(
"gpt-5-codex-mini-high",
"GPT-5 Codex",
"1.25",
"10",
"0.125",
"0",
),
// OpenAI Reasoning 系列
("o3", "OpenAI o3", "2", "8", "0.50", "0"),
("o4-mini", "OpenAI o4-mini", "1.10", "4.40", "0.275", "0"),
// GPT-4.1 系列
("gpt-4.1", "GPT-4.1", "2", "8", "0.50", "0"),
("gpt-4.1-mini", "GPT-4.1 Mini", "0.40", "1.60", "0.10", "0"),
("gpt-4.1-nano", "GPT-4.1 Nano", "0.10", "0.40", "0.025", "0"),
// Gemini 3.5 系列
(
"gemini-3.5-flash",
"Gemini 3.5 Flash",
"1.50",
"9.00",
"0.15",
"0",
),
// Gemini 3.1 系列
(
"gemini-3.1-pro-preview",
"Gemini 3.1 Pro Preview",
"2",
"12",
"0.20",
"0",
),
(
"gemini-3.1-flash-lite",
"Gemini 3.1 Flash Lite",
"0.25",
"1.50",
"0.025",
"0",
),
(
"gemini-3.1-flash-lite-preview",
"Gemini 3.1 Flash Lite Preview",
"0.25",
"1.50",
"0.025",
"0",
),
// Gemini 3 系列
(
"gemini-3-pro-preview",
"Gemini 3 Pro Preview",
"2",
"12",
"0.2",
"0",
),
(
"gemini-3-flash-preview",
"Gemini 3 Flash Preview",
"0.5",
"3",
"0.05",
"0",
),
// Gemini 2.5 系列
(
"gemini-2.5-pro",
"Gemini 2.5 Pro",
"1.25",
"10",
"0.125",
"0",
),
(
"gemini-2.5-flash",
"Gemini 2.5 Flash",
"0.3",
"2.5",
"0.03",
"0",
),
(
"gemini-2.5-flash-lite",
"Gemini 2.5 Flash Lite",
"0.10",
"0.40",
"0.01",
"0",
),
// Gemini 2.0 系列
(
"gemini-2.0-flash",
"Gemini 2.0 Flash",
"0.10",
"0.40",
"0.025",
"0",
),
// StepFun 系列
(
"step-3.7-flash",
"Step 3.7 Flash",
"0.19",
"1.13",
"0.04",
"0",
),
(
"step-3.5-flash",
"Step 3.5 Flash",
"0.10",
"0.30",
"0.02",
"0",
),
(
"step-3.5-flash-2603",
"Step 3.5 Flash 2603",
"0.10",
"0.30",
"0.02",
"0",
),
// ====== 国产模型 (USD/1M tokens) ======
// Doubao (字节跳动)
// Seed 2.1 系列(2026-06 火山引擎官方 list 价,CNY 按 ~7.14 折算):
// pro 输入 6 元 / 输出 30 元 / 命中 1.2 元
// turbo 输入 3 元 / 输出 15 元 / 命中 0.6 元
// 「缓存存储 0.017 元/M/小时」是按时长计费的存储费,与本表 cache_creation(按 token 写入价)口径不同,置 0。
(
"doubao-seed-2-1-pro",
"Doubao Seed 2.1 Pro",
"0.84",
"4.2",
"0.17",
"0",
),
(
"doubao-seed-2-1-turbo",
"Doubao Seed 2.1 Turbo",
"0.42",
"2.1",
"0.08",
"0",
),
(
"doubao-seed-code",
"Doubao Seed Code",
"0.17",
"1.11",
"0.02",
"0",
),
(
"doubao-seed-2-0-pro",
"Doubao Seed 2.0 Pro",
"0.47",
"2.37",
"0.09",
"0",
),
(
"doubao-seed-2-0-code",
"Doubao Seed 2.0 Code",
"0.47",
"2.37",
"0.09",
"0",
),
(
"doubao-seed-2-0-code-preview-latest",
"Doubao Seed 2.0 Code Preview",
"0.47",
"2.37",
"0.09",
"0",
),
(
"doubao-seed-2-0-lite",
"Doubao Seed 2.0 Lite",
"0.08",
"0.50",
"0.017",
"0",
),
(
"doubao-seed-2-0-mini",
"Doubao Seed 2.0 Mini",
"0.03",
"0.31",
"0.0056",
"0",
),
// DeepSeek 系列
(
"deepseek-v3.2",
"DeepSeek V3.2",
"0.28",
"0.42",
"0.028",
"0",
),
(
"deepseek-v3.1",
"DeepSeek V3.1",
"0.55",
"1.67",
"0.055",
"0",
),
("deepseek-v3", "DeepSeek V3", "0.28", "1.11", "0.028", "0"),
(
"deepseek-chat",
"DeepSeek Chat",
"0.27",
"1.10",
"0.07",
"0",
),
(
"deepseek-reasoner",
"DeepSeek Reasoner",
"0.55",
"2.19",
"0.14",
"0",
),
// DeepSeek V4 系列(官方 CNY 按 1 USD ≈ 7.14 折算)
(
"deepseek-v4-flash",
"DeepSeek V4 Flash",
"0.14",
"0.28",
"0.0028",
"0",
),
(
"deepseek-v4-pro",
"DeepSeek V4 Pro",
"0.435",
"0.87",
"0.003625",
"0",
),
// Kimi (月之暗面)
(
"kimi-k2-thinking",
"Kimi K2 Thinking",
"0.55",
"2.20",
"0.10",
"0",
),
("kimi-k2-0905", "Kimi K2", "0.55", "2.20", "0.10", "0"),
(
"kimi-k2-turbo",
"Kimi K2 Turbo",
"1.11",
"8.06",
"0.14",
"0",
),
("kimi-k2.5", "Kimi K2.5", "0.60", "3.00", "0.10", "0"),
("kimi-k2.6", "Kimi K2.6", "0.95", "4.00", "0.16", "0"),
(
"kimi-k2.7-code",
"Kimi K2.7 Code",
"0.95",
"4.00",
"0.19",
"0",
),
("kimi-k3", "Kimi K3", "3.00", "15.00", "0.30", "0"),
// 腾讯混元 (Tencent Hunyuan)(官方 CNY 1/4/0.25 按 1 USD ≈ 7.14 折算;Hy3 阶梯计价取最低档)
("hunyuan-hy3", "Hunyuan Hy3", "0.14", "0.56", "0.035", "0"),
("hy3", "Hunyuan Hy3", "0.14", "0.56", "0.035", "0"),
// MiniMax 系列
("minimax-m2.1", "MiniMax M2.1", "0.27", "0.95", "0.03", "0"),
(
"minimax-m2.1-lightning",
"MiniMax M2.1 Lightning",
"0.27",
"2.33",
"0.03",
"0",
),
("minimax-m2", "MiniMax M2", "0.27", "0.95", "0.03", "0"),
("minimax-m2.5", "MiniMax M2.5", "0.15", "0.95", "0.03", "0"),
(
"minimax-m2.5-lightning",
"MiniMax M2.5 Lightning",
"0.30",
"2.40",
"0.03",
"0",
),
(
"minimax-m2.7",
"MiniMax M2.7",
"0.30",
"1.20",
"0.06",
"0.375",
),
(
"minimax-m2.7-highspeed",
"MiniMax M2.7 Highspeed",
"0.60",
"2.40",
"0.06",
"0.375",
),
("minimax-m3", "MiniMax M3", "0.60", "2.40", "0.12", "0"),
// GLM (智谱)
("glm-4.7", "GLM-4.7", "0.6", "2.2", "0.11", "0"),
("glm-4.6", "GLM-4.6", "0.6", "2.2", "0.11", "0"),
("glm-5", "GLM-5", "1", "3.2", "0.2", "0"),
("glm-5.1", "GLM-5.1", "1.4", "4.4", "0.26", "0"),
("glm-5.2", "GLM-5.2", "1.4", "4.4", "0.26", "0"),
// MiMo (小米)
(
"mimo-v2-flash",
"MiMo V2 Flash",
"0.09",
"0.29",
"0.009",
"0",
),
("mimo-v2-pro", "MiMo V2 Pro", "0.435", "0.87", "0.0036", "0"),
("mimo-v2.5", "MiMo V2.5", "0.14", "0.29", "0.0028", "0"),
(
"mimo-v2.5-pro",
"MiMo V2.5 Pro",
"0.435",
"0.87",
"0.0036",
"0",
),
// Qwen 系列 (阿里巴巴)
("qwen3.7-max", "Qwen3.7 Max", "2.50", "7.50", "0.25", "0"),
("qwen3.7-plus", "Qwen3.7 Plus", "0.40", "1.60", "0.08", "0"),
(
"qwen3.6-plus",
"Qwen3.6 Plus",
"0.325",
"1.95",
"0.065",
"0",
),
("qwen3.5-plus", "Qwen3.5 Plus", "0.26", "1.56", "0.052", "0"),
("qwen3-max", "Qwen3 Max", "0.78", "3.90", "0", "0"),
(
"qwen3-235b-a22b",
"Qwen3 235B-A22B",
"0.70",
"8.40",
"0",
"0",
),
(
"qwen3-coder-plus",
"Qwen3 Coder Plus",
"0.65",
"3.25",
"0.13",
"0",
),
(
"qwen3-coder-480b",
"Qwen3 Coder 480B",
"0.65",
"3.25",
"0",
"0",
),
(
"qwen3-coder-480b-a35b-instruct",
"Qwen3 Coder 480B-A35B Instruct",
"0.65",
"3.25",
"0",
"0",
),
(
"qwen3-coder-flash",
"Qwen3 Coder Flash",
"0.195",
"0.975",
"0.039",
"0",
),
(
"qwen3-coder-next",
"Qwen3 Coder Next",
"0.12",
"0.75",
"0",
"0",
),
("qwq-plus", "QwQ Plus", "0.80", "2.40", "0", "0"),
("qwq-32b", "QwQ 32B", "0.20", "0.60", "0", "0"),
("qwen3-32b", "Qwen3 32B", "0.16", "0.64", "0", "0"),
// Grok 系列 (xAI)
("grok-4.3", "Grok 4.3", "1.25", "2.50", "0.20", "0"),
(
"grok-4.20-0309-reasoning",
"Grok 4.20 Reasoning",
"1.25",
"2.50",
"0.20",
"0",
),
(
"grok-4.20-0309-non-reasoning",
"Grok 4.20",
"1.25",
"2.50",
"0.20",
"0",
),
(
"grok-4-1-fast-reasoning",
"Grok 4.1 Fast Reasoning",
"0.20",
"0.50",
"0.05",
"0",
),
(
"grok-4-1-fast-non-reasoning",
"Grok 4.1 Fast",
"0.20",
"0.50",
"0.05",
"0",
),
("grok-4", "Grok 4", "3", "15", "0.75", "0"),
(
"grok-code-fast-1",
"Grok Build 0.1 (Code Fast Alias)",
"1",
"2",
"0.20",
"0",
),
("grok-build-0.1", "Grok Build 0.1", "1", "2", "0.20", "0"),
("grok-3", "Grok 3", "3", "15", "0.75", "0"),
("grok-3-mini", "Grok 3 Mini", "0.25", "0.50", "0.075", "0"),
// Mistral 系列
(
"mistral-medium-3.5",
"Mistral Medium 3.5",
"1.50",
"7.50",
"0",
"0",
),
(
"mistral-small-4",
"Mistral Small 4",
"0.10",
"0.30",
"0.01",
"0",
),
(
"devstral-small-2-2512",
"Devstral Small 2",
"0.10",
"0.30",
"0.01",
"0",
),
(
"magistral-small",
"Magistral Small",
"0.50",
"1.50",
"0",
"0",
),
("codestral-2508", "Codestral", "0.30", "0.90", "0.03", "0"),
(
"devstral-small-1.1",
"Devstral Small 1.1",
"0.07",
"0.28",
"0.01",
"0",
),
("devstral-2-2512", "Devstral 2", "0.40", "2", "0.04", "0"),
(
"devstral-medium",
"Devstral Medium",
"0.40",
"2",
"0.04",
"0",
),
(
"mistral-large-3-2512",
"Mistral Large 3",
"0.50",
"1.50",
"0.05",
"0",
),
(
"mistral-medium-3.1",
"Mistral Medium 3.1",
"0.40",
"2",
"0.04",
"0",
),
(
"mistral-small-3.2-24b",
"Mistral Small 3.2",
"0.075",
"0.20",
"0.01",
"0",
),
("magistral-medium", "Magistral Medium", "2", "5", "0", "0"),
// Cohere 系列
("command-a", "Cohere Command A", "2.50", "10", "0", "0"),
(
"command-r-plus",
"Cohere Command R+",
"2.50",
"10",
"0",
"0",
),
("command-r", "Cohere Command R", "0.15", "0.60", "0", "0"),
// OpenAI 补充
("o3-pro", "OpenAI o3-pro", "20", "80", "0", "0"),
("o3-mini", "OpenAI o3-mini", "0.55", "2.20", "0.55", "0"),
("o1", "OpenAI o1", "15", "60", "7.50", "0"),
("o1-mini", "OpenAI o1-mini", "0.55", "2.20", "0.55", "0"),
("codex-mini", "Codex Mini", "0.75", "3", "0.025", "0"),
("gpt-5-mini", "GPT-5 Mini", "0.25", "2", "0.025", "0"),
("gpt-5-nano", "GPT-5 Nano", "0.05", "0.40", "0.005", "0"),
];
let mut stmt = conn
.prepare(
"INSERT OR IGNORE INTO model_pricing (
model_id, display_name, input_cost_per_million, output_cost_per_million,
cache_read_cost_per_million, cache_creation_cost_per_million
) VALUES (?1, ?2, ?3, ?4, ?5, ?6)",
)
.map_err(|e| AppError::Database(format!("准备模型定价语句失败: {e}")))?;
for (model_id, display_name, input, output, cache_read, cache_creation) in pricing_data {
stmt.execute(rusqlite::params![
model_id,
display_name,
input,
output,
cache_read,
cache_creation
])
.map_err(|e| AppError::Database(format!("插入模型定价失败: {e}")))?;
}
log::info!("已插入 {} 条默认模型定价数据", pricing_data.len());
Ok(())
}
fn repair_current_model_pricing(conn: &Connection) -> Result<(), AppError> {
let pricing_fixes = [
// 2026-07-12 GPT-5.6 家族 cache write=1.25× 输入价(OpenAI 5.6 起的新规),
// 修正早期 seed 的 0 值;只匹配未被用户改过的行
(
"gpt-5.6-sol",
"GPT-5.6 Sol",
"5",
"30",
"0.50",
"6.25",
"5",
"30",
"0.50",
"0",
),
(
"gpt-5.6-terra",
"GPT-5.6 Terra",
"2.50",
"15",
"0.25",
"3.125",
"2.50",
"15",
"0.25",
"0",
),
(
"gpt-5.6-luna",
"GPT-5.6 Luna",
"1",
"6",
"0.10",
"1.25",
"1",
"6",
"0.10",
"0",
),
// 2026-06-10 全量核价(厂商官方 list 价;CNY 按 ~7.14 折算)
// GLM 4.6/4.7:旧值是中转/OpenRouter 折扣价,统一到 Z.ai 官方(与 glm-5/5.1 一致)
(
"glm-4.7", "GLM-4.7", "0.6", "2.2", "0.11", "0", "0.39", "1.75", "0.04", "0",
),
(
"glm-4.6", "GLM-4.6", "0.6", "2.2", "0.11", "0", "0.28", "1.11", "0.03", "0",
),
// Grok 4.20xAI 已降价 2/6 → 1.25/2.50
(
"grok-4.20-0309-reasoning",
"Grok 4.20 Reasoning",
"1.25",
"2.50",
"0.20",
"0",
"2",
"6",
"0.20",
"0",
),
(
"grok-4.20-0309-non-reasoning",
"Grok 4.20",
"1.25",
"2.50",
"0.20",
"0",
"2",
"6",
"0.20",
"0",
),
// Kimi K2.5 官方 output 3.00
(
"kimi-k2.5",
"Kimi K2.5",
"0.60",
"3.00",
"0.10",
"0",
"0.60",
"2.50",
"0.10",
"0",
),
// MiniMax M2.5 input 0.15
(
"minimax-m2.5",
"MiniMax M2.5",
"0.15",
"0.95",
"0.03",
"0",
"0.12",
"0.95",
"0.03",
"0",
),
// Mistral Devstral 2 output 0.90 → 2(与同表 devstral-medium 一致)
(
"devstral-2-2512",
"Devstral 2",
"0.40",
"2",
"0.04",
"0",
"0.40",
"0.90",
"0.04",
"0",
),
// Doubao Seed 2.0lite 旧价贵 3-4 倍 + 全系补 cache 命中价
(
"doubao-seed-2-0-lite",
"Doubao Seed 2.0 Lite",
"0.08",
"0.50",
"0.017",
"0",
"0.25",
"2",
"0",
"0",
),
(
"doubao-seed-2-0-pro",
"Doubao Seed 2.0 Pro",
"0.47",
"2.37",
"0.09",
"0",
"0.47",
"2.37",
"0",
"0",
),
(
"doubao-seed-2-0-code",
"Doubao Seed 2.0 Code",
"0.47",
"2.37",
"0.09",
"0",
"0.47",
"2.37",
"0",
"0",
),
(
"doubao-seed-2-0-code-preview-latest",
"Doubao Seed 2.0 Code Preview",
"0.47",
"2.37",
"0.09",
"0",
"0.47",
"2.37",
"0",
"0",
),
(
"doubao-seed-2-0-mini",
"Doubao Seed 2.0 Mini",
"0.03",
"0.31",
"0.0056",
"0",
"0.03",
"0.31",
"0",
"0",
),
// MiMo:5/27 永久降价,旧值是旧价
(
"mimo-v2-pro",
"MiMo V2 Pro",
"0.435",
"0.87",
"0.0036",
"0",
"1",
"3",
"0",
"0",
),
(
"mimo-v2.5",
"MiMo V2.5",
"0.14",
"0.29",
"0.0028",
"0",
"0.09",
"0.29",
"0.009",
"0",
),
(
"mimo-v2.5-pro",
"MiMo V2.5 Pro",
"0.435",
"0.87",
"0.0036",
"0",
"1",
"3",
"0",
"0",
),
// Qwen:官方"隐式缓存 = 输入 20%"补 cache 命中价
(
"qwen3.6-plus",
"Qwen3.6 Plus",
"0.325",
"1.95",
"0.065",
"0",
"0.325",
"1.95",
"0",
"0",
),
(
"qwen3.5-plus",
"Qwen3.5 Plus",
"0.26",
"1.56",
"0.052",
"0",
"0.26",
"1.56",
"0",
"0",
),
(
"qwen3-coder-plus",
"Qwen3 Coder Plus",
"0.65",
"3.25",
"0.13",
"0",
"0.65",
"3.25",
"0",
"0",
),
(
"qwen3-coder-flash",
"Qwen3 Coder Flash",
"0.195",
"0.975",
"0.039",
"0",
"0.195",
"0.975",
"0",
"0",
),
(
"deepseek-v4-flash",
"DeepSeek V4 Flash",
"0.14",
"0.28",
"0.0028",
"0",
"0.14",
"0.28",
"0.028",
"0",
),
(
"deepseek-v4-pro",
"DeepSeek V4 Pro",
"0.435",
"0.87",
"0.003625",
"0",
"1.68",
"3.36",
"0.14",
"0",
),
(
"glm-5", "GLM-5", "1", "3.2", "0.2", "0", "0.72", "2.30", "0", "0",
),
(
"glm-5.1", "GLM-5.1", "1.4", "4.4", "0.26", "0", "0.95", "3.15", "0", "0",
),
(
"grok-code-fast-1",
"Grok Build 0.1 (Code Fast Alias)",
"1",
"2",
"0.20",
"0",
"0.20",
"1.50",
"0.02",
"0",
),
];
for (
model_id,
display_name,
input,
output,
cache_read,
cache_creation,
old_input,
old_output,
old_cache_read,
old_cache_creation,
) in pricing_fixes
{
conn.execute(
"UPDATE model_pricing SET
display_name = ?2,
input_cost_per_million = ?3,
output_cost_per_million = ?4,
cache_read_cost_per_million = ?5,
cache_creation_cost_per_million = ?6
WHERE model_id = ?1
AND input_cost_per_million = ?7
AND output_cost_per_million = ?8
AND cache_read_cost_per_million = ?9
AND cache_creation_cost_per_million = ?10",
rusqlite::params![
model_id,
display_name,
input,
output,
cache_read,
cache_creation,
old_input,
old_output,
old_cache_read,
old_cache_creation
],
)
.map_err(|e| AppError::Database(format!("修复模型 {model_id} 定价失败: {e}")))?;
}
Ok(())
}
/// 确保模型定价表具备默认数据
pub fn ensure_model_pricing_seeded(&self) -> Result<(), AppError> {
let conn = lock_conn!(self.conn);
Self::ensure_model_pricing_seeded_on_conn(&conn)
}
fn ensure_model_pricing_seeded_on_conn(conn: &Connection) -> Result<(), AppError> {
// 每次启动都执行 INSERT OR IGNORE,增量追加新模型;仅修复仍等于旧内置值的定价。
Self::seed_model_pricing(conn)?;
Self::repair_current_model_pricing(conn)
}
// --- 辅助方法 ---
pub(crate) fn get_user_version(conn: &Connection) -> Result<i32, AppError> {
conn.query_row("PRAGMA user_version;", [], |row| row.get(0))
.map_err(|e| AppError::Database(format!("读取 user_version 失败: {e}")))
}
pub(crate) fn set_user_version(conn: &Connection, version: i32) -> Result<(), AppError> {
if version < 0 {
return Err(AppError::Database("user_version 不能为负数".to_string()));
}
let sql = format!("PRAGMA user_version = {version};");
conn.execute(&sql, [])
.map_err(|e| AppError::Database(format!("写入 user_version 失败: {e}")))?;
Ok(())
}
fn create_request_logs_usage_indexes_if_supported(conn: &Connection) -> Result<(), AppError> {
if !Self::table_exists(conn, "proxy_request_logs")? {
return Ok(());
}
let has_app_type = Self::has_column(conn, "proxy_request_logs", "app_type")?;
let has_created_at = Self::has_column(conn, "proxy_request_logs", "created_at")?;
if has_app_type && has_created_at {
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_request_logs_app_created_at
ON proxy_request_logs(app_type, created_at DESC)",
[],
)
.map_err(|e| AppError::Database(format!("创建使用量应用时间索引失败: {e}")))?;
}
let required_columns = [
"app_type",
"data_source",
"input_tokens",
"output_tokens",
"cache_read_tokens",
"created_at",
"cache_creation_tokens",
];
for column in required_columns {
if !Self::has_column(conn, "proxy_request_logs", column)? {
return Ok(());
}
}
conn.execute("DROP INDEX IF EXISTS idx_request_logs_dedup_lookup", [])
.map_err(|e| AppError::Database(format!("删除旧使用量去重索引失败: {e}")))?;
// 查询层为了兼容历史 NULL data_source 行,会使用
// COALESCE(data_source, 'proxy')。普通 data_source 索引无法匹配该表达式,
// 会让跨源去重子查询退化成大量扫描;表达式索引让 SQLite 能按同一表达式查找。
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_request_logs_dedup_lookup_expr
ON proxy_request_logs(app_type, COALESCE(data_source, 'proxy'), input_tokens,
output_tokens, cache_read_tokens, created_at,
cache_creation_tokens)",
[],
)
.map_err(|e| AppError::Database(format!("创建使用量去重表达式索引失败: {e}")))?;
Ok(())
}
fn validate_identifier(s: &str, kind: &str) -> Result<(), AppError> {
if s.is_empty() {
return Err(AppError::Database(format!("{kind} 不能为空")));
}
if !s.chars().all(|c| c.is_ascii_alphanumeric() || c == '_') {
return Err(AppError::Database(format!(
"非法{kind}: {s},仅允许字母、数字和下划线"
)));
}
Ok(())
}
pub(crate) fn table_exists(conn: &Connection, table: &str) -> Result<bool, AppError> {
Self::validate_identifier(table, "表名")?;
let mut stmt = conn
.prepare("SELECT name FROM sqlite_master WHERE type='table'")
.map_err(|e| AppError::Database(format!("读取表名失败: {e}")))?;
let mut rows = stmt
.query([])
.map_err(|e| AppError::Database(format!("查询表名失败: {e}")))?;
while let Some(row) = rows.next().map_err(|e| AppError::Database(e.to_string()))? {
let name: String = row
.get(0)
.map_err(|e| AppError::Database(format!("解析表名失败: {e}")))?;
if name.eq_ignore_ascii_case(table) {
return Ok(true);
}
}
Ok(false)
}
pub(crate) fn has_column(
conn: &Connection,
table: &str,
column: &str,
) -> Result<bool, AppError> {
Self::validate_identifier(table, "表名")?;
Self::validate_identifier(column, "列名")?;
let sql = format!("PRAGMA table_info(\"{table}\");");
let mut stmt = conn
.prepare(&sql)
.map_err(|e| AppError::Database(format!("读取表结构失败: {e}")))?;
let mut rows = stmt
.query([])
.map_err(|e| AppError::Database(format!("查询表结构失败: {e}")))?;
while let Some(row) = rows.next().map_err(|e| AppError::Database(e.to_string()))? {
let name: String = row
.get(1)
.map_err(|e| AppError::Database(format!("读取列名失败: {e}")))?;
if name.eq_ignore_ascii_case(column) {
return Ok(true);
}
}
Ok(false)
}
fn add_column_if_missing(
conn: &Connection,
table: &str,
column: &str,
definition: &str,
) -> Result<bool, AppError> {
Self::validate_identifier(table, "表名")?;
Self::validate_identifier(column, "列名")?;
if !Self::table_exists(conn, table)? {
return Err(AppError::Database(format!(
"{table} 不存在,无法添加列 {column}"
)));
}
if Self::has_column(conn, table, column)? {
return Ok(false);
}
let sql = format!("ALTER TABLE \"{table}\" ADD COLUMN \"{column}\" {definition};");
conn.execute(&sql, [])
.map_err(|e| AppError::Database(format!("为表 {table} 添加列 {column} 失败: {e}")))?;
log::info!("已为表 {table} 添加缺失列 {column}");
Ok(true)
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn migrate_v12_to_v13_adds_input_token_semantics_columns() -> Result<(), AppError> {
let conn = Connection::open_in_memory()?;
conn.execute(
"CREATE TABLE proxy_request_logs (request_id TEXT PRIMARY KEY)",
[],
)?;
conn.execute(
"CREATE TABLE usage_daily_rollups (date TEXT PRIMARY KEY)",
[],
)?;
Database::set_user_version(&conn, 12)?;
Database::apply_schema_migrations_on_conn(&conn)?;
assert_eq!(Database::get_user_version(&conn)?, SCHEMA_VERSION);
assert!(Database::has_column(
&conn,
"proxy_request_logs",
"input_token_semantics"
)?);
assert!(Database::has_column(
&conn,
"usage_daily_rollups",
"input_token_semantics"
)?);
let log_default: i64 = conn.query_row(
"SELECT dflt_value = '0' FROM pragma_table_info('proxy_request_logs')
WHERE name = 'input_token_semantics'",
[],
|row| row.get(0),
)?;
assert_eq!(log_default, 1);
Ok(())
}
#[test]
fn migrate_v13_to_v14_adds_grokbuild_proxy_row_and_preserves_values() -> Result<(), AppError> {
let conn = Connection::open_in_memory()?;
Database::create_tables_on_conn(&conn)?;
conn.execute("DELETE FROM proxy_config WHERE app_type = 'grokbuild'", [])?;
conn.execute(
"UPDATE proxy_config SET enabled = 1, max_retries = 9 WHERE app_type = 'codex'",
[],
)?;
Database::set_user_version(&conn, 13)?;
Database::apply_schema_migrations_on_conn(&conn)?;
assert_eq!(Database::get_user_version(&conn)?, SCHEMA_VERSION);
let grok_rows: i64 = conn.query_row(
"SELECT COUNT(*) FROM proxy_config WHERE app_type = 'grokbuild'",
[],
|row| row.get(0),
)?;
assert_eq!(grok_rows, 1);
let codex_values: (i64, i64) = conn.query_row(
"SELECT enabled, max_retries FROM proxy_config WHERE app_type = 'codex'",
[],
|row| Ok((row.get(0)?, row.get(1)?)),
)?;
assert_eq!(codex_values, (1, 9));
Ok(())
}
#[test]
fn migrate_v14_to_v15_adds_grokbuild_skill_and_mcp_flags() -> Result<(), AppError> {
let conn = Connection::open_in_memory()?;
conn.execute_batch(
"CREATE TABLE mcp_servers (
id TEXT PRIMARY KEY,
enabled_codex BOOLEAN NOT NULL DEFAULT 0
);
CREATE TABLE skills (
id TEXT PRIMARY KEY,
enabled_codex BOOLEAN NOT NULL DEFAULT 0
);",
)?;
conn.execute(
"INSERT INTO mcp_servers (id, enabled_codex) VALUES ('mcp-1', 1)",
[],
)?;
conn.execute(
"INSERT INTO skills (id, enabled_codex) VALUES ('skill-1', 1)",
[],
)?;
Database::set_user_version(&conn, 14)?;
Database::apply_schema_migrations_on_conn(&conn)?;
assert_eq!(Database::get_user_version(&conn)?, SCHEMA_VERSION);
assert!(Database::has_column(
&conn,
"mcp_servers",
"enabled_grokbuild"
)?);
assert!(Database::has_column(&conn, "skills", "enabled_grokbuild")?);
let mcp_values: (i64, i64) = conn.query_row(
"SELECT enabled_codex, enabled_grokbuild FROM mcp_servers WHERE id = 'mcp-1'",
[],
|row| Ok((row.get(0)?, row.get(1)?)),
)?;
let skill_values: (i64, i64) = conn.query_row(
"SELECT enabled_codex, enabled_grokbuild FROM skills WHERE id = 'skill-1'",
[],
|row| Ok((row.get(0)?, row.get(1)?)),
)?;
assert_eq!(mcp_values, (1, 0));
assert_eq!(skill_values, (1, 0));
Ok(())
}
}