Files
CC-Switch/src-tauri/src/commands/usage.rs
T
Jason edf28b6422 feat(usage): filter-driven Hero with cache-normalized totals
- Normalize OpenAI/Gemini input_tokens semantics in SQL via the new
  fresh_input_sql helper (cache_read subtracted at query time, no data
  migration). Recovers correct cache hit rates for Codex/Gemini.
- Add get_usage_summary_by_app endpoint for per-app split (single
  UNION ALL + GROUP BY, avoids N+1).
- Replace UsageSummaryCards + AppBreakdownRail with a single
  filter-driven UsageHero card; clicking a filter button now truly
  changes the displayed numbers and the title accent color.
- Tighten KNOWN_APP_TYPES to the 3 app_types whose token data is
  reliably collected (claude/codex/gemini); hide claude-desktop,
  hermes, opencode, openclaw filter buttons and i18n keys.
- Flag cache_creation as N/A for OpenAI-style protocols (Codex,
  Gemini); show a "partial" tooltip when the All view mixes both
  protocol families.
2026-05-13 10:27:29 +08:00

255 lines
7.3 KiB
Rust

//! 使用统计相关命令
use crate::error::AppError;
use crate::services::usage_stats::*;
use crate::store::AppState;
use tauri::State;
/// 获取使用量汇总
#[tauri::command]
pub fn get_usage_summary(
state: State<'_, AppState>,
start_date: Option<i64>,
end_date: Option<i64>,
app_type: Option<String>,
) -> Result<UsageSummary, AppError> {
state
.db
.get_usage_summary(start_date, end_date, app_type.as_deref())
}
/// 获取按 app_type 拆分的使用量汇总
#[tauri::command]
pub fn get_usage_summary_by_app(
state: State<'_, AppState>,
start_date: Option<i64>,
end_date: Option<i64>,
) -> Result<Vec<UsageSummaryByApp>, AppError> {
state.db.get_usage_summary_by_app(start_date, end_date)
}
/// 获取每日趋势
#[tauri::command]
pub fn get_usage_trends(
state: State<'_, AppState>,
start_date: Option<i64>,
end_date: Option<i64>,
app_type: Option<String>,
) -> Result<Vec<DailyStats>, AppError> {
state
.db
.get_daily_trends(start_date, end_date, app_type.as_deref())
}
/// 获取 Provider 统计
#[tauri::command]
pub fn get_provider_stats(
state: State<'_, AppState>,
start_date: Option<i64>,
end_date: Option<i64>,
app_type: Option<String>,
) -> Result<Vec<ProviderStats>, AppError> {
state
.db
.get_provider_stats(start_date, end_date, app_type.as_deref())
}
/// 获取模型统计
#[tauri::command]
pub fn get_model_stats(
state: State<'_, AppState>,
start_date: Option<i64>,
end_date: Option<i64>,
app_type: Option<String>,
) -> Result<Vec<ModelStats>, AppError> {
state
.db
.get_model_stats(start_date, end_date, app_type.as_deref())
}
/// 获取请求日志列表
#[tauri::command]
pub fn get_request_logs(
state: State<'_, AppState>,
filters: LogFilters,
page: u32,
page_size: u32,
) -> Result<PaginatedLogs, AppError> {
state.db.get_request_logs(&filters, page, page_size)
}
/// 获取单个请求详情
#[tauri::command]
pub fn get_request_detail(
state: State<'_, AppState>,
request_id: String,
) -> Result<Option<RequestLogDetail>, AppError> {
state.db.get_request_detail(&request_id)
}
/// 获取模型定价列表
#[tauri::command]
pub fn get_model_pricing(state: State<'_, AppState>) -> Result<Vec<ModelPricingInfo>, AppError> {
log::info!("获取模型定价列表");
state.db.ensure_model_pricing_seeded()?;
let db = state.db.clone();
let conn = crate::database::lock_conn!(db.conn);
// 检查表是否存在
let table_exists: bool = conn
.query_row(
"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='model_pricing'",
[],
|row| row.get::<_, i64>(0).map(|count| count > 0),
)
.unwrap_or(false);
if !table_exists {
log::error!("model_pricing 表不存在,可能需要重启应用以触发数据库迁移");
return Ok(Vec::new());
}
let mut stmt = conn.prepare(
"SELECT model_id, display_name, input_cost_per_million, output_cost_per_million,
cache_read_cost_per_million, cache_creation_cost_per_million
FROM model_pricing
ORDER BY display_name",
)?;
let rows = stmt.query_map([], |row| {
Ok(ModelPricingInfo {
model_id: row.get(0)?,
display_name: row.get(1)?,
input_cost_per_million: row.get(2)?,
output_cost_per_million: row.get(3)?,
cache_read_cost_per_million: row.get(4)?,
cache_creation_cost_per_million: row.get(5)?,
})
})?;
let mut pricing = Vec::new();
for row in rows {
pricing.push(row?);
}
log::info!("成功获取 {} 条模型定价数据", pricing.len());
Ok(pricing)
}
/// 更新模型定价
#[tauri::command]
pub fn update_model_pricing(
state: State<'_, AppState>,
model_id: String,
display_name: String,
input_cost: String,
output_cost: String,
cache_read_cost: String,
cache_creation_cost: String,
) -> Result<(), AppError> {
let db = state.db.clone();
let conn = crate::database::lock_conn!(db.conn);
conn.execute(
"INSERT OR REPLACE 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)",
rusqlite::params![
model_id,
display_name,
input_cost,
output_cost,
cache_read_cost,
cache_creation_cost
],
)
.map_err(|e| AppError::Database(format!("更新模型定价失败: {e}")))?;
Ok(())
}
/// 检查 Provider 使用限额
#[tauri::command]
pub fn check_provider_limits(
state: State<'_, AppState>,
provider_id: String,
app_type: String,
) -> Result<crate::services::usage_stats::ProviderLimitStatus, AppError> {
state.db.check_provider_limits(&provider_id, &app_type)
}
/// 删除模型定价
#[tauri::command]
pub fn delete_model_pricing(state: State<'_, AppState>, model_id: String) -> Result<(), AppError> {
let db = state.db.clone();
let conn = crate::database::lock_conn!(db.conn);
conn.execute(
"DELETE FROM model_pricing WHERE model_id = ?1",
rusqlite::params![model_id],
)
.map_err(|e| AppError::Database(format!("删除模型定价失败: {e}")))?;
log::info!("已删除模型定价: {model_id}");
Ok(())
}
/// 手动触发会话日志同步
#[tauri::command]
pub fn sync_session_usage(
state: State<'_, AppState>,
) -> Result<crate::services::session_usage::SessionSyncResult, AppError> {
// 同步 Claude 会话日志
let mut result = crate::services::session_usage::sync_claude_session_logs(&state.db)?;
// 同步 Codex 使用数据
match crate::services::session_usage_codex::sync_codex_usage(&state.db) {
Ok(codex_result) => {
result.imported += codex_result.imported;
result.skipped += codex_result.skipped;
result.files_scanned += codex_result.files_scanned;
result.errors.extend(codex_result.errors);
}
Err(e) => {
result.errors.push(format!("Codex 同步失败: {e}"));
}
}
// 同步 Gemini 使用数据
match crate::services::session_usage_gemini::sync_gemini_usage(&state.db) {
Ok(gemini_result) => {
result.imported += gemini_result.imported;
result.skipped += gemini_result.skipped;
result.files_scanned += gemini_result.files_scanned;
result.errors.extend(gemini_result.errors);
}
Err(e) => {
result.errors.push(format!("Gemini 同步失败: {e}"));
}
}
Ok(result)
}
/// 获取数据来源分布
#[tauri::command]
pub fn get_usage_data_sources(
state: State<'_, AppState>,
) -> Result<Vec<crate::services::session_usage::DataSourceSummary>, AppError> {
crate::services::session_usage::get_data_source_breakdown(&state.db)
}
/// 模型定价信息
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct ModelPricingInfo {
pub model_id: String,
pub display_name: String,
pub input_cost_per_million: String,
pub output_cost_per_million: String,
pub cache_read_cost_per_million: String,
pub cache_creation_cost_per_million: String,
}