4 Commits

Include renames

Author	SHA1	Message	Date
xsl	7bcbb8d40b	feat(agent,report): 会话持久化与画像注入、报告反馈与预约留资——PM/开发双Agent迭代1-3 ... - agent: ag_conversation/ag_message 表(迁移0007),上下文组装注入最近报告画像摘要 (report.profile.latest_profile_summary 经 apps 层闭包注入,同层不互调),历史带最近 AGENT_HISTORY_TURNS=10 轮;POST/GET /agent/conversations 与消息历史接口 - agent 修复:ChatRequest.conversation_id 改 str(雪花ID超2^53,JS Number丢精度); _build_context 挪进 reserve commit 后同一 try,异常走 refund 兜底 - report: rp_feedback(维度反馈 upsert,认同率/修正率 SQL 可算,T-P3-21 最小版—— L1 记忆未建,不回写结论)+ rp_reservation(预约留资幂等,T-P3-22,预约率口径 行数/full_report.card_view 去重曝光,门槛≥8%),迁移0008 - 测试:全量 606 passed;ruff/mypy/lint-imports 全绿;E2E 真实 deepseek-v4-flash 验证 画像注入与历史携带	2026-09-11 21:50:58 +08:00
xsl	2009aa938c	fix(billing): make quota seed and column names match the product SSOT ... The product plan is the only source for quota numbers, but the 0001 seed used a second set (agent_chat 20/50, tryon hard 10) and omitted hairstyle, hd_export and report regen. Migration 0003 replaces the seed and renames points_reserved → quota_reserved and bonus_value → bonus_granted so the docs and the schema stop contradicting each other. Effective limit now clips at hard_cap. CI runs the integration slice against the Postgres/Redis services it already starts.	2026-08-14 11:28:35 +08:00
xsl	f46ecc5eb0	fix(llm): price by call time and stop paying for thinking tokens ... Two defects that only surface against the real DeepSeek API, both of which break the cost model rather than the code: deepseek-v4-flash enables thinking mode by default. The same single-turn question took 13.5s with it on and 1.8s with it off, and the thinking tokens are billed at the output rate. That misses NFR-PERF-02b (15s per turn) and inflates every conversational call. SceneConfig now carries an explicit `thinking` flag, all four V1 scenes set it to false, and the provider always sends the parameter rather than relying on the upstream default. Reasoning tokens are recorded separately in Usage.tokens_reasoning so the cost of ever turning it back on is visible. DeepSeek moves to peak/off-peak pricing on 2026-08-17, with peak (Beijing 09:00-12:00 and 14:00-18:00) at twice the off-peak rate. Reports are generated mostly during peak hours, so a single blended rate would leave ob_ai_call -- the only input to V2 pricing -- off by nearly a factor of two. PeakAwareRateTable resolves the rate at call time; cost is computed and stored then, never recomputed later at whatever the current rate happens to be. Also here: - Replace the live API key in the redaction test with a synthetic one. The test that proves we redact secrets was itself a secret leak waiting for its first commit. - Correct LLM_COST_RATES_JSON, which held placeholder rates. - Make ids.SnowflakeGenerator take an injectable clock so rollover and clock-rollback are testable without patching a slots class. - Rename exceptions to the -Error suffix (N818) and clear the remaining ruff, mypy and import-linter findings, including two dead lines: a duplicate pytestmark assignment and a no-op assert on a None return. Gates: ruff, mypy (96 files incl. tests), 4/4 import contracts, detect-secrets, 166 unit + 3 integration tests, migration up/down round-trip.	2026-08-14 00:54:40 +08:00
xsl	746b66da01	feat(api): vertical slice POST /v1/agent/chat and the Celery ping path ... One request exercises every layer: JWT auth, quota reservation, a versioned prompt through the LLM gateway, a cost row, quota commit or refund, and the unified envelope. The trivial ping task proves the queue routing and the tk_task transitions before any real long-running task is written. Routes are mounted at the /api/v1 base path of 架构文档 §9.1; /v1/* is rewritten to it at the ASGI layer so both spellings work from one route table.	2026-08-14 00:26:39 +08:00