mirror of
https://github.com/farion1231/cc-switch.git
synced 2026-07-28 00:35:32 +08:00
in30mn1a
bc1467db8d
The usage dashboard previously only refreshed on app restart for users who don't route through the cc-switch proxy. Two issues were involved: 1. The session-sync background task panicked when a Codex model name contained non-ASCII characters (e.g. `【官】glm-5.1`), because `normalize_codex_model` sliced `&name[name.len() - 11..]` without verifying char boundaries. Once the task panicked, no session logs were imported until the app was restarted (where startup-time `rollup_and_prune` happened to flush pending data). 2. Even with sync working, the dashboard only polled every 30s and skipped polling when the window was unfocused, so freshly-imported data was invisible until the next poll or window refocus. Fixes ----- * `normalize_codex_model`: guard the 11-byte ISO-date suffix slice with `is_char_boundary` + `is_ascii` checks. ASCII-only suffix means the date-stripping logic is correct, and non-ASCII names (which can never be valid date suffixes anyway) now bypass the slice safely. * New `usage_events` module that emits `usage-log-recorded` to the frontend whenever `proxy_request_logs` actually gains a new row. Sources covered: proxy `log_request`, Claude/Codex/Gemini session sync, and startup `rollup_and_prune`. Notifications use a global `OnceLock<AppHandle>` so call sites that don't already hold an `AppHandle` (e.g. `UsageLogger`) can notify without signature churn. * 200ms debounce in `notify_log_recorded` collapses bursts (a single Codex sync importing 3000+ entries triggers ~2 emits, not 3000) so the frontend's `invalidateQueries` is never spammed. * Frontend `useUsageEventBridge` listens for the event and invalidates `usageKeys.all`. Hook is mounted only on `UsageDashboard`, so the listener is unsubscribed automatically when the user navigates away. Verification ------------ * `cargo check` passes (existing 25 dead-code warnings in `commands/misc.rs` are pre-existing and unrelated). * `tsc --noEmit` passes. * Manually verified end-to-end: a Codex sync run that imported 3145 entries produced 2 debounced emits, both logged as `emit usage-log-recorded 成功`, and the dashboard updated within ~200ms. Behaviour notes --------------- * `INSERT OR IGNORE` paths (Claude/Codex session sync) only notify when the row is actually inserted, so dedup-skipped writes don't trigger empty refreshes. * Gemini's `INSERT … ON CONFLICT … DO UPDATE` path reuses the existing `conn.changes() > 0` check and only notifies when token counts truly changed. * `rollup_and_prune` notifies once per pruning cycle (at most once per app start) so the dashboard reflects the new aggregate state. Co-authored-by: in30mn1a <in30mn1a@users.noreply.github.com>
794 lines
26 KiB
Rust
794 lines
26 KiB
Rust
//! Codex 会话日志使用追踪
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//!
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//! 从 ~/.codex/sessions/ 下的 JSONL 会话文件中提取精确 token 使用数据，
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//! 替代原有的 state_5.sqlite 估算方案。
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//!
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//! ## 数据流
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//! ```text
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//! ~/.codex/sessions/YYYY/MM/DD/*.jsonl → 增量解析 → delta 计算 → 费用计算 → proxy_request_logs 表
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//! ```
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//!
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//! ## 解析的事件类型
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//! - `session_meta` → 提取 session_id
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//! - `turn_context` → 提取当前 model
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//! - `event_msg` (type=token_count) → 提取累计 token 用量，计算 delta
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use crate::codex_config::get_codex_config_dir;
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use crate::database::{lock_conn, Database};
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use crate::error::AppError;
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use crate::proxy::usage::calculator::{CostCalculator, ModelPricing};
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use crate::proxy::usage::parser::TokenUsage;
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use crate::services::session_usage::{
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get_sync_state, metadata_modified_nanos, update_sync_state, SessionSyncResult,
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};
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use crate::services::usage_stats::{find_model_pricing, should_skip_session_insert, DedupKey};
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use rust_decimal::Decimal;
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use std::fs;
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use std::io::{BufRead, BufReader};
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use std::path::{Path, PathBuf};
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use std::time::SystemTime;
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/// 累计 token 用量（跟踪 total_token_usage 字段）
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#[derive(Debug, Clone, Default)]
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struct CumulativeTokens {
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input: u64,
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cached_input: u64,
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output: u64,
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}
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/// 单次 API 调用的 token 增量
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#[derive(Debug)]
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struct DeltaTokens {
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input: u32,
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cached_input: u32,
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output: u32,
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}
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impl DeltaTokens {
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fn is_zero(&self) -> bool {
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self.input == 0 && self.cached_input == 0 && self.output == 0
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}
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}
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/// 单文件解析时的运行状态
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struct FileParseState {
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session_id: Option<String>,
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current_model: String,
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prev_total: Option<CumulativeTokens>,
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event_index: u32,
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}
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/// 归一化 Codex 模型名
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///
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/// 处理规则（按顺序）：
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/// 1. 转小写：`GLM-4.6` → `glm-4.6`
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/// 2. 剥离 provider 前缀：`openai/gpt-5.4` → `gpt-5.4`
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/// 3. 剥离 ISO 日期后缀：`gpt-5.4-2026-03-05` → `gpt-5.4`
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/// 4. 剥离紧凑日期后缀：`gpt-5.4-20260305` → `gpt-5.4`
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fn normalize_codex_model(raw: &str) -> String {
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// Step 1: 小写
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let mut name = raw.to_lowercase();
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// Step 2: 剥离 "provider/" 前缀（如 openai/, azure/）
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if let Some(pos) = name.rfind('/') {
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name = name[pos + 1..].to_string();
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}
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// Step 3: 剥离 ISO 日期后缀 -YYYY-MM-DD（正好 11 字符）
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if name.len() > 11 && name.is_char_boundary(name.len() - 11) {
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let suffix = &name[name.len() - 11..];
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if suffix.is_ascii()
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&& suffix.as_bytes()[0] == b'-'
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&& suffix[1..5].chars().all(|c| c.is_ascii_digit())
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&& suffix.as_bytes()[5] == b'-'
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&& suffix[6..8].chars().all(|c| c.is_ascii_digit())
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&& suffix.as_bytes()[8] == b'-'
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&& suffix[9..11].chars().all(|c| c.is_ascii_digit())
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{
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name.truncate(name.len() - 11);
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}
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}
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// Step 4: 剥离紧凑日期后缀 -YYYYMMDD（正好 9 字符）
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if name.len() > 9 {
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let parts: Vec<&str> = name.rsplitn(2, '-').collect();
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if parts.len() == 2 {
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if let Some(suffix) = parts.first() {
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if suffix.len() == 8 && suffix.chars().all(|c| c.is_ascii_digit()) {
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name = parts[1].to_string();
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}
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}
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}
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}
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name
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}
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/// 计算两次累计值之间的 delta
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fn compute_delta(prev: &Option<CumulativeTokens>, current: &CumulativeTokens) -> DeltaTokens {
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match prev {
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None => DeltaTokens {
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input: current.input as u32,
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cached_input: current.cached_input as u32,
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output: current.output as u32,
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},
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Some(p) => DeltaTokens {
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input: current.input.saturating_sub(p.input) as u32,
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cached_input: current.cached_input.saturating_sub(p.cached_input) as u32,
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output: current.output.saturating_sub(p.output) as u32,
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},
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}
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}
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/// 从 JSON Value 中提取累计 token 用量
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fn parse_cumulative_tokens(total_usage: &serde_json::Value) -> Option<CumulativeTokens> {
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if total_usage.is_null() || !total_usage.is_object() {
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return None;
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}
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Some(CumulativeTokens {
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input: total_usage
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.get("input_tokens")
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.and_then(|v| v.as_u64())
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.unwrap_or(0),
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cached_input: total_usage
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.get("cached_input_tokens")
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.or_else(|| total_usage.get("cache_read_input_tokens"))
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.and_then(|v| v.as_u64())
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.unwrap_or(0),
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output: total_usage
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.get("output_tokens")
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.and_then(|v| v.as_u64())
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.unwrap_or(0),
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})
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}
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/// 同步 Codex 使用数据（从 JSONL 会话日志）
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pub fn sync_codex_usage(db: &Database) -> Result<SessionSyncResult, AppError> {
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let codex_dir = get_codex_config_dir();
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let files = collect_codex_session_files(&codex_dir);
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let mut result = SessionSyncResult {
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imported: 0,
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skipped: 0,
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files_scanned: files.len() as u32,
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errors: vec![],
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};
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if files.is_empty() {
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return Ok(result);
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}
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for file_path in &files {
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match sync_single_codex_file(db, file_path) {
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Ok((imported, skipped)) => {
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result.imported += imported;
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result.skipped += skipped;
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}
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Err(e) => {
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let msg = format!("Codex 会话文件解析失败 {}: {e}", file_path.display());
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log::warn!("[CODEX-SYNC] {msg}");
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result.errors.push(msg);
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}
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}
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}
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if result.imported > 0 {
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log::info!(
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"[CODEX-SYNC] 同步完成: 导入 {} 条, 跳过 {} 条, 扫描 {} 个文件",
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result.imported,
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result.skipped,
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result.files_scanned
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);
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}
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Ok(result)
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}
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/// 收集所有 Codex 会话 JSONL 文件
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fn collect_codex_session_files(codex_dir: &Path) -> Vec<PathBuf> {
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let mut files = Vec::new();
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// 1. 扫描 sessions/YYYY/MM/DD/*.jsonl（日期分区目录）
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let sessions_dir = codex_dir.join("sessions");
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if sessions_dir.is_dir() {
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collect_jsonl_recursive(&sessions_dir, &mut files, 0, 3);
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}
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// 2. 扫描 archived_sessions/*.jsonl（扁平归档目录）
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let archived_dir = codex_dir.join("archived_sessions");
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if archived_dir.is_dir() {
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if let Ok(entries) = fs::read_dir(&archived_dir) {
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for entry in entries.flatten() {
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let path = entry.path();
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if path.extension().and_then(|e| e.to_str()) == Some("jsonl") {
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files.push(path);
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}
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}
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}
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}
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files
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}
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/// 递归扫描目录下的 .jsonl 文件（限制最大深度）
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fn collect_jsonl_recursive(dir: &Path, files: &mut Vec<PathBuf>, depth: u32, max_depth: u32) {
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let entries = match fs::read_dir(dir) {
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Ok(e) => e,
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Err(_) => return,
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};
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for entry in entries.flatten() {
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let path = entry.path();
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if path.is_dir() && depth < max_depth {
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collect_jsonl_recursive(&path, files, depth + 1, max_depth);
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} else if path.extension().and_then(|e| e.to_str()) == Some("jsonl") {
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files.push(path);
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}
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}
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}
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/// 同步单个 Codex JSONL 文件，返回 (imported, skipped)
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fn sync_single_codex_file(db: &Database, file_path: &Path) -> Result<(u32, u32), AppError> {
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let file_path_str = file_path.to_string_lossy().to_string();
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// 获取文件元数据
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let metadata = fs::metadata(file_path)
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.map_err(|e| AppError::Config(format!("无法读取文件元数据: {e}")))?;
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let file_modified = metadata_modified_nanos(&metadata);
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// 检查同步状态
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let (last_modified, last_offset) = get_sync_state(db, &file_path_str)?;
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// 文件未变化则跳过
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if file_modified <= last_modified {
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return Ok((0, 0));
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}
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// 打开文件逐行解析
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let file =
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fs::File::open(file_path).map_err(|e| AppError::Config(format!("无法打开文件: {e}")))?;
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let reader = BufReader::new(file);
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let mut state = FileParseState {
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session_id: None,
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current_model: "unknown".to_string(),
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prev_total: None,
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event_index: 0,
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};
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let mut line_offset: i64 = 0;
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let mut imported: u32 = 0;
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let mut skipped: u32 = 0;
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for line_result in reader.lines() {
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line_offset += 1;
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let line = match line_result {
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Ok(l) => l,
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Err(_) => continue, // 容忍不完整的最后一行
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};
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if line.trim().is_empty() {
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continue;
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}
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// 快速过滤：在 JSON 反序列化前跳过无关行
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let is_event_msg = line.contains("\"event_msg\"");
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let is_turn_context = line.contains("\"turn_context\"");
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let is_session_meta = line.contains("\"session_meta\"");
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if !is_event_msg && !is_turn_context && !is_session_meta {
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continue;
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}
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if is_event_msg && !line.contains("\"token_count\"") {
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continue;
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}
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let value: serde_json::Value = match serde_json::from_str(&line) {
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Ok(v) => v,
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Err(_) => continue,
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};
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let event_type = match value.get("type").and_then(|t| t.as_str()) {
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Some(t) => t,
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None => continue,
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};
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match event_type {
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"session_meta" if state.session_id.is_none() => {
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let payload = value.get("payload");
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state.session_id = payload
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.and_then(|p| {
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p.get("session_id")
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.or_else(|| p.get("sessionId"))
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.or_else(|| p.get("id"))
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})
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.and_then(|v| v.as_str())
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.map(|s| s.to_string());
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}
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"turn_context" => {
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if let Some(payload) = value.get("payload") {
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// model 可能在 payload.model 或 payload.info.model
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if let Some(model) = payload
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.get("model")
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.or_else(|| payload.get("info").and_then(|info| info.get("model")))
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.and_then(|v| v.as_str())
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{
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state.current_model = normalize_codex_model(model);
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}
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}
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}
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"event_msg" => {
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let payload = match value.get("payload") {
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Some(p) => p,
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None => continue,
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};
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// 只处理 token_count 类型
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if payload.get("type").and_then(|t| t.as_str()) != Some("token_count") {
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continue;
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}
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let info = match payload.get("info") {
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Some(i) if !i.is_null() => i,
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_ => continue, // 跳过 info 为 null 的首个事件
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};
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// 提取模型（token_count 事件也可能携带 model）
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if let Some(model) = info
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.get("model")
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.or_else(|| info.get("model_name"))
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.or_else(|| payload.get("model"))
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.and_then(|v| v.as_str())
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{
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state.current_model = normalize_codex_model(model);
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}
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// 优先用 total_token_usage（累计值），fallback 到 last_token_usage（增量值）
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let (cumulative, is_total) = if let Some(total) = info.get("total_token_usage") {
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(parse_cumulative_tokens(total), true)
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} else if let Some(last) = info.get("last_token_usage") {
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(parse_cumulative_tokens(last), false)
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} else {
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continue;
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};
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let cumulative = match cumulative {
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Some(c) => c,
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None => continue,
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};
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let delta = if is_total {
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// 累计值模式：计算与上次的 delta
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let d = compute_delta(&state.prev_total, &cumulative);
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state.prev_total = Some(cumulative);
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d
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} else {
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// 增量值模式：直接使用 last_token_usage 的值
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DeltaTokens {
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input: cumulative.input as u32,
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cached_input: cumulative.cached_input as u32,
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output: cumulative.output as u32,
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}
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};
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// 钳制：cached 不应超过 input（防护异常数据）
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let delta = DeltaTokens {
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cached_input: delta.cached_input.min(delta.input),
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..delta
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};
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if delta.is_zero() {
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continue; // 跳过 task 边界的零 delta 事件
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}
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state.event_index += 1;
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// 跳过已处理的行（但仍需解析以恢复状态）
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if line_offset <= last_offset {
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continue;
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}
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// 生成唯一 request_id
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let session_id_str = state.session_id.as_deref().unwrap_or("unknown");
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let request_id = format!("codex_session:{}:{}", session_id_str, state.event_index);
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// 提取时间戳
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let timestamp = value
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.get("timestamp")
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.and_then(|v| v.as_str())
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.map(|s| s.to_string());
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match insert_codex_session_entry(
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db,
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&request_id,
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&delta,
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&state.current_model,
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state.session_id.as_deref(),
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timestamp.as_deref(),
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) {
|
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Ok(true) => imported += 1,
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Ok(false) => skipped += 1,
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Err(e) => {
|
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log::warn!("[CODEX-SYNC] 插入失败 ({}): {e}", request_id);
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skipped += 1;
|
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}
|
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}
|
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}
|
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_ => {}
|
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}
|
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}
|
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|
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// 更新同步状态
|
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update_sync_state(db, &file_path_str, file_modified, line_offset)?;
|
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|
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Ok((imported, skipped))
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}
|
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|
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/// 插入单条 Codex 会话记录到 proxy_request_logs
|
||
fn insert_codex_session_entry(
|
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db: &Database,
|
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request_id: &str,
|
||
delta: &DeltaTokens,
|
||
model: &str,
|
||
session_id: Option<&str>,
|
||
timestamp: Option<&str>,
|
||
) -> Result<bool, AppError> {
|
||
let conn = lock_conn!(db.conn);
|
||
|
||
let created_at = timestamp
|
||
.and_then(|ts| {
|
||
chrono::DateTime::parse_from_rfc3339(ts)
|
||
.ok()
|
||
.map(|dt| dt.timestamp())
|
||
})
|
||
.unwrap_or_else(|| {
|
||
SystemTime::now()
|
||
.duration_since(SystemTime::UNIX_EPOCH)
|
||
.map(|d| d.as_secs() as i64)
|
||
.unwrap_or(0)
|
||
});
|
||
|
||
let dedup_key = DedupKey {
|
||
app_type: "codex",
|
||
model,
|
||
input_tokens: delta.input,
|
||
output_tokens: delta.output,
|
||
cache_read_tokens: delta.cached_input,
|
||
cache_creation_tokens: 0,
|
||
created_at,
|
||
};
|
||
if should_skip_session_insert(&conn, request_id, &dedup_key)? {
|
||
return Ok(false);
|
||
}
|
||
|
||
// 计算费用
|
||
let usage = TokenUsage {
|
||
input_tokens: delta.input,
|
||
output_tokens: delta.output,
|
||
cache_read_tokens: delta.cached_input,
|
||
cache_creation_tokens: 0,
|
||
model: Some(model.to_string()),
|
||
message_id: None,
|
||
};
|
||
|
||
let pricing = find_codex_pricing(&conn, model);
|
||
let multiplier = Decimal::from(1);
|
||
let (input_cost, output_cost, cache_read_cost, cache_creation_cost, total_cost) = match pricing
|
||
{
|
||
Some(p) => {
|
||
let cost = CostCalculator::calculate_for_app("codex", &usage, &p, multiplier);
|
||
(
|
||
cost.input_cost.to_string(),
|
||
cost.output_cost.to_string(),
|
||
cost.cache_read_cost.to_string(),
|
||
cost.cache_creation_cost.to_string(),
|
||
cost.total_cost.to_string(),
|
||
)
|
||
}
|
||
None => (
|
||
"0".to_string(),
|
||
"0".to_string(),
|
||
"0".to_string(),
|
||
"0".to_string(),
|
||
"0".to_string(),
|
||
),
|
||
};
|
||
|
||
let inserted_rows = conn
|
||
.execute(
|
||
"INSERT OR IGNORE INTO proxy_request_logs (
|
||
request_id, provider_id, app_type, model, request_model,
|
||
input_tokens, output_tokens, cache_read_tokens, cache_creation_tokens,
|
||
input_cost_usd, output_cost_usd, cache_read_cost_usd, cache_creation_cost_usd, total_cost_usd,
|
||
latency_ms, first_token_ms, status_code, error_message, session_id,
|
||
provider_type, is_streaming, cost_multiplier, created_at, data_source
|
||
) VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8, ?9, ?10, ?11, ?12, ?13, ?14, ?15, ?16, ?17, ?18, ?19, ?20, ?21, ?22, ?23, ?24)",
|
||
rusqlite::params![
|
||
request_id,
|
||
"_codex_session", // provider_id
|
||
"codex", // app_type
|
||
model,
|
||
model, // request_model = model
|
||
delta.input,
|
||
delta.output,
|
||
delta.cached_input,
|
||
0i64, // cache_creation_tokens: Codex 日志无此数据
|
||
input_cost,
|
||
output_cost,
|
||
cache_read_cost,
|
||
cache_creation_cost,
|
||
total_cost,
|
||
0i64, // latency_ms
|
||
Option::<i64>::None, // first_token_ms
|
||
200i64, // status_code
|
||
Option::<String>::None, // error_message
|
||
session_id.map(|s| s.to_string()),
|
||
Some("codex_session"), // provider_type
|
||
1i64, // is_streaming
|
||
"1.0", // cost_multiplier
|
||
created_at,
|
||
"codex_session", // data_source
|
||
],
|
||
)
|
||
.map_err(|e| AppError::Database(format!("插入 Codex 会话日志失败: {e}")))?;
|
||
|
||
if inserted_rows > 0 {
|
||
crate::usage_events::notify_log_recorded();
|
||
}
|
||
|
||
Ok(true)
|
||
}
|
||
|
||
/// 查找 Codex 模型定价（带归一化）
|
||
fn find_codex_pricing(conn: &rusqlite::Connection, model_id: &str) -> Option<ModelPricing> {
|
||
find_model_pricing(conn, &normalize_codex_model(model_id))
|
||
}
|
||
|
||
#[cfg(test)]
|
||
mod tests {
|
||
use super::*;
|
||
|
||
#[test]
|
||
fn test_delta_first_event() {
|
||
let prev = None;
|
||
let current = CumulativeTokens {
|
||
input: 17934,
|
||
cached_input: 9600,
|
||
output: 454,
|
||
};
|
||
let delta = compute_delta(&prev, ¤t);
|
||
assert_eq!(delta.input, 17934);
|
||
assert_eq!(delta.cached_input, 9600);
|
||
assert_eq!(delta.output, 454);
|
||
assert!(!delta.is_zero());
|
||
}
|
||
|
||
#[test]
|
||
fn test_delta_subsequent_event() {
|
||
let prev = Some(CumulativeTokens {
|
||
input: 17934,
|
||
cached_input: 9600,
|
||
output: 454,
|
||
});
|
||
let current = CumulativeTokens {
|
||
input: 36722,
|
||
cached_input: 27904,
|
||
output: 804,
|
||
};
|
||
let delta = compute_delta(&prev, ¤t);
|
||
assert_eq!(delta.input, 36722 - 17934);
|
||
assert_eq!(delta.cached_input, 27904 - 9600);
|
||
assert_eq!(delta.output, 804 - 454);
|
||
}
|
||
|
||
#[test]
|
||
fn test_delta_zero_at_task_boundary() {
|
||
let prev = Some(CumulativeTokens {
|
||
input: 58346,
|
||
cached_input: 46976,
|
||
output: 1045,
|
||
});
|
||
// task 边界：相同的累计值
|
||
let current = CumulativeTokens {
|
||
input: 58346,
|
||
cached_input: 46976,
|
||
output: 1045,
|
||
};
|
||
let delta = compute_delta(&prev, ¤t);
|
||
assert!(delta.is_zero());
|
||
}
|
||
|
||
#[test]
|
||
fn test_delta_saturating_sub() {
|
||
// 异常情况：当前值小于前值（不应发生，但需防护）
|
||
let prev = Some(CumulativeTokens {
|
||
input: 100,
|
||
cached_input: 50,
|
||
output: 30,
|
||
});
|
||
let current = CumulativeTokens {
|
||
input: 80,
|
||
cached_input: 40,
|
||
output: 20,
|
||
};
|
||
let delta = compute_delta(&prev, ¤t);
|
||
assert_eq!(delta.input, 0);
|
||
assert_eq!(delta.cached_input, 0);
|
||
assert_eq!(delta.output, 0);
|
||
assert!(delta.is_zero());
|
||
}
|
||
|
||
#[test]
|
||
fn test_parse_cumulative_tokens_valid() {
|
||
let json: serde_json::Value = serde_json::json!({
|
||
"input_tokens": 17934,
|
||
"cached_input_tokens": 9600,
|
||
"output_tokens": 454,
|
||
"reasoning_output_tokens": 233,
|
||
"total_tokens": 18388
|
||
});
|
||
let tokens = parse_cumulative_tokens(&json).unwrap();
|
||
assert_eq!(tokens.input, 17934);
|
||
assert_eq!(tokens.cached_input, 9600);
|
||
assert_eq!(tokens.output, 454);
|
||
}
|
||
|
||
#[test]
|
||
fn test_parse_cumulative_tokens_null() {
|
||
let json = serde_json::Value::Null;
|
||
assert!(parse_cumulative_tokens(&json).is_none());
|
||
}
|
||
|
||
#[test]
|
||
fn test_parse_cumulative_tokens_alt_field_names() {
|
||
// 某些版本可能使用 cache_read_input_tokens 而非 cached_input_tokens
|
||
let json: serde_json::Value = serde_json::json!({
|
||
"input_tokens": 1000,
|
||
"cache_read_input_tokens": 500,
|
||
"output_tokens": 200
|
||
});
|
||
let tokens = parse_cumulative_tokens(&json).unwrap();
|
||
assert_eq!(tokens.cached_input, 500);
|
||
}
|
||
|
||
#[test]
|
||
fn test_collect_codex_session_files_nonexistent() {
|
||
let files = collect_codex_session_files(Path::new("/nonexistent/path"));
|
||
assert!(files.is_empty());
|
||
}
|
||
|
||
#[test]
|
||
fn test_insert_codex_session_skips_matching_proxy_log() -> Result<(), AppError> {
|
||
let db = Database::memory()?;
|
||
{
|
||
let conn = lock_conn!(db.conn);
|
||
conn.execute(
|
||
"INSERT INTO proxy_request_logs (
|
||
request_id, provider_id, app_type, model, request_model,
|
||
input_tokens, output_tokens, cache_read_tokens, cache_creation_tokens,
|
||
total_cost_usd, latency_ms, status_code, created_at, data_source
|
||
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
|
||
rusqlite::params![
|
||
"codex-proxy",
|
||
"openai",
|
||
"codex",
|
||
"gpt-5.4",
|
||
"gpt-5.4",
|
||
10,
|
||
2,
|
||
1,
|
||
7,
|
||
"0.01",
|
||
100,
|
||
200,
|
||
1000,
|
||
"proxy"
|
||
],
|
||
)?;
|
||
}
|
||
|
||
let delta = DeltaTokens {
|
||
input: 10,
|
||
cached_input: 1,
|
||
output: 2,
|
||
};
|
||
let inserted = insert_codex_session_entry(
|
||
&db,
|
||
"codex-session-dup",
|
||
&delta,
|
||
"gpt-5.4",
|
||
Some("session-1"),
|
||
Some("1970-01-01T00:16:45Z"),
|
||
)?;
|
||
assert!(!inserted);
|
||
|
||
let conn = lock_conn!(db.conn);
|
||
let count: i64 = conn.query_row("SELECT COUNT(*) FROM proxy_request_logs", [], |row| {
|
||
row.get(0)
|
||
})?;
|
||
assert_eq!(count, 1);
|
||
|
||
Ok(())
|
||
}
|
||
|
||
// ── 模型名归一化测试 ──
|
||
|
||
#[test]
|
||
fn test_normalize_codex_model_lowercase() {
|
||
assert_eq!(normalize_codex_model("GLM-4.6"), "glm-4.6");
|
||
assert_eq!(normalize_codex_model("DeepSeek-Chat"), "deepseek-chat");
|
||
assert_eq!(normalize_codex_model("GPT-5.4"), "gpt-5.4");
|
||
}
|
||
|
||
#[test]
|
||
fn test_normalize_codex_model_strip_prefix() {
|
||
assert_eq!(normalize_codex_model("openai/gpt-5.4"), "gpt-5.4");
|
||
assert_eq!(
|
||
normalize_codex_model("azure/gpt-5.2-codex"),
|
||
"gpt-5.2-codex"
|
||
);
|
||
assert_eq!(normalize_codex_model("OPENAI/GPT-5.4"), "gpt-5.4");
|
||
}
|
||
|
||
#[test]
|
||
fn test_normalize_codex_model_strip_iso_date() {
|
||
assert_eq!(normalize_codex_model("gpt-5.4-2026-03-05"), "gpt-5.4");
|
||
assert_eq!(
|
||
normalize_codex_model("gpt-5.4-pro-2026-03-05"),
|
||
"gpt-5.4-pro"
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn test_normalize_codex_model_strip_compact_date() {
|
||
assert_eq!(normalize_codex_model("gpt-5.4-20260305"), "gpt-5.4");
|
||
assert_eq!(
|
||
normalize_codex_model("claude-opus-4-6-20260206"),
|
||
"claude-opus-4-6"
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn test_normalize_codex_model_no_change() {
|
||
assert_eq!(normalize_codex_model("gpt-5.4"), "gpt-5.4");
|
||
assert_eq!(normalize_codex_model("gpt-5.2-codex"), "gpt-5.2-codex");
|
||
assert_eq!(normalize_codex_model("o3"), "o3");
|
||
assert_eq!(normalize_codex_model("deepseek-chat"), "deepseek-chat");
|
||
}
|
||
|
||
#[test]
|
||
fn test_normalize_codex_model_combined() {
|
||
// prefix + uppercase + ISO date
|
||
assert_eq!(
|
||
normalize_codex_model("openai/GPT-5.4-2026-03-05"),
|
||
"gpt-5.4"
|
||
);
|
||
// prefix + compact date
|
||
assert_eq!(normalize_codex_model("openai/gpt-5.4-20260305"), "gpt-5.4");
|
||
}
|
||
|
||
#[test]
|
||
fn test_cached_clamped_to_input() {
|
||
// cached > input 的异常场景应被 min() 钳制
|
||
let prev = Some(CumulativeTokens {
|
||
input: 100,
|
||
cached_input: 0,
|
||
output: 50,
|
||
});
|
||
let current = CumulativeTokens {
|
||
input: 110, // delta = 10
|
||
cached_input: 80, // delta = 80（异常：大于 input delta）
|
||
output: 60,
|
||
};
|
||
let delta = compute_delta(&prev, ¤t);
|
||
// 钳制前：cached_input = 80, input = 10
|
||
assert_eq!(delta.cached_input, 80);
|
||
assert_eq!(delta.input, 10);
|
||
// 实际钳制在调用侧：delta.cached_input.min(delta.input)
|
||
let clamped = delta.cached_input.min(delta.input);
|
||
assert_eq!(clamped, 10);
|
||
}
|
||
}
|