Files
CC-Switch/src-tauri/src/commands/usage.rs
T
Jason a75f479576 feat(usage): lift provider/model filters to dashboard-wide scope
The provider/model filters only lived inside the request-log table, so
there was no way to see "how much did app X spend on source Y" across
the whole dashboard. Promote them to the top bar next to the app
filter, applying globally to the hero summary, trend chart, request
logs, and both stats tabs.

Backend: the five stats queries (summary, summary-by-app, trends,
provider stats, model stats) accept optional provider_name/model
filters, applied to both the detail and daily-rollup branches (the
rollup PK already carries provider_id/model/pricing_model). Sources
match by exact display name via provider_name_coalesce, so session
placeholder rows like "Claude (Session)" are selectable; models match
by effective pricing model (pricing_model falling back to model), the
same grouping key the model-stats tab uses. Request-log filtering
switches from LIKE to these exact semantics.

Frontend: two truncating dropdowns list only sources/models that have
data in the current range, with the model list cascading from the
selected source. Dynamic option values are prefix-encoded so a source
literally named "all" cannot collide with the sentinel, query keys
fall back to null instead of "all", and the option queries follow the
dashboard refresh interval (otherwise their default 30s polling drags
same-key stats queries along even with refresh disabled). The
request-log filter bar keeps only the log-specific status-code select.
Labels read "sources" rather than "providers" because direct-connect
session buckets sit alongside real providers. i18n updated across
zh/en/ja/zh-TW.
2026-06-11 22:42:26 +08:00

345 lines
10 KiB
Rust

//! 使用统计相关命令
use crate::error::AppError;
use crate::services::usage_stats::*;
use crate::store::AppState;
use rust_decimal::Decimal;
use std::str::FromStr;
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>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<UsageSummary, AppError> {
state.db.get_usage_summary(
start_date,
end_date,
app_type.as_deref(),
provider_name.as_deref(),
model.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>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<Vec<UsageSummaryByApp>, AppError> {
state.db.get_usage_summary_by_app(
start_date,
end_date,
provider_name.as_deref(),
model.as_deref(),
)
}
/// 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>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<Vec<DailyStats>, AppError> {
state.db.get_daily_trends(
start_date,
end_date,
app_type.as_deref(),
provider_name.as_deref(),
model.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>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<Vec<ProviderStats>, AppError> {
state.db.get_provider_stats(
start_date,
end_date,
app_type.as_deref(),
provider_name.as_deref(),
model.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>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<Vec<ModelStats>, AppError> {
state.db.get_model_stats(
start_date,
end_date,
app_type.as_deref(),
provider_name.as_deref(),
model.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 model_id = model_id.trim().to_string();
let display_name = display_name.trim().to_string();
if model_id.is_empty() {
return Err(AppError::localized(
"usage.modelIdRequired",
"模型 ID 不能为空",
"Model ID is required",
));
}
if display_name.is_empty() {
return Err(AppError::localized(
"usage.displayNameRequired",
"显示名称不能为空",
"Display name is required",
));
}
for (label, value) in [
("input_cost", &input_cost),
("output_cost", &output_cost),
("cache_read_cost", &cache_read_cost),
("cache_creation_cost", &cache_creation_cost),
] {
let parsed = Decimal::from_str(value.trim()).map_err(|e| {
AppError::localized(
"usage.invalidPrice",
format!("{label} 价格无效: {value} - {e}"),
format!("{label} price is invalid: {value} - {e}"),
)
})?;
if parsed < Decimal::ZERO {
return Err(AppError::localized(
"usage.invalidPrice",
format!("{label} 价格必须为非负数: {value}"),
format!("{label} price must be non-negative: {value}"),
));
}
}
{
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.trim(),
output_cost.trim(),
cache_read_cost.trim(),
cache_creation_cost.trim()
],
)
.map_err(|e| AppError::Database(format!("更新模型定价失败: {e}")))?;
}
if let Err(e) = db.backfill_missing_usage_costs_for_model(&model_id) {
log::warn!("模型定价更新后回填历史用量成本失败 (model_id={model_id}): {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}"));
}
}
// 同步 OpenCode 使用数据
match crate::services::session_usage_opencode::sync_opencode_usage(&state.db) {
Ok(opencode_result) => {
result.imported += opencode_result.imported;
result.skipped += opencode_result.skipped;
result.files_scanned += opencode_result.files_scanned;
result.errors.extend(opencode_result.errors);
}
Err(e) => {
result.errors.push(format!("OpenCode 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,
}