diff --git a/pipeline_service/agent_loop.py b/pipeline_service/agent_loop.py index 40aa061..ec7402b 100644 --- a/pipeline_service/agent_loop.py +++ b/pipeline_service/agent_loop.py @@ -2766,6 +2766,23 @@ async def pm_review_run(project_id, agent_id=None, model_name=None): task_id = task.id title = getattr(task, "title", "") or "" task_role = _normalize_role(getattr(task, "role", "") or "") + # 豁免兜底（2026-09-03）：产线自带质量门禁的任务（如投标产线， + # params.task_kind=bid_* / skip_generic_qc）PM 不复审内容，直接放行—— + # 质量判定归产线流转引擎（章节评审打分 + 解析产出契合度审核）。 + _skip_gqc = False + try: + _tpr = json.loads(getattr(task, "params", "") or "{}") + if isinstance(_tpr, dict): + _skip_gqc = bool(_tpr.get("skip_generic_qc")) or \ + str(_tpr.get("task_kind", "") or "").startswith("bid_") + except Exception: + pass + if _skip_gqc: + from .task_capability import approve_task + await approve_task(task_id, project_id, who="agent.pm", agent_id=agent_id, + comment="产线自带质量门禁，PM 豁免内容复审") + logger.info(f"pm_review_run exempt: task={task_id} -> approved (pipeline-owned QC)") + return {"status": "exempted", "task_id": task_id} # 机构 llm 检测：机构没配 llm → 冒泡问题暂停 llm_missing, _names = await _check_org_llm(sor, org_id) if llm_missing: @@ -3087,13 +3104,26 @@ async def qc_review_run(project_id, agent_id=None, model_name=None): # 判断是否 human_task_qc（人类任务 QC，检查对象是 pipeline_human_tasks 而非交付件） task_kind = "" human_task_id = "" + skip_generic_qc = False try: _tp = json.loads(getattr(task, "params", "") or "{}") if isinstance(_tp, dict): task_kind = _tp.get("task_kind", "") or "" human_task_id = _tp.get("human_task_id", "") or "" + skip_generic_qc = bool(_tp.get("skip_generic_qc")) except Exception: pass + # 豁免兜底（2026-09-03）：声明 skip_generic_qc 的产线任务自带质量门禁 + # （如投标产线的章节评审 + 契合度审核），通用门禁不接管；存量卡在此状态 + # 的任务直接放行，避免被当「交付件合规检查」反复拒回烧轮次。 + # task_kind=bid_* 兜底覆盖改造前创建的存量任务（params 里没有豁免标记）。 + if skip_generic_qc or task_kind.startswith("bid_"): + from .task_capability import qc_exempt_task + await qc_exempt_task(task_id, project_id, who="agent.qc", agent_id=agent_id, + comment="产线自带质量门禁，豁免通用QC（skip_generic_qc/bid_*）") + logger.info(f"qc_review_run exempt: task={task_id} -> approved " + f"(skip_generic_qc={skip_generic_qc} task_kind={task_kind})") + return {"status": "exempted", "task_id": task_id} # 机构 llm 检测：机构没配 llm → 冒泡问题暂停 llm_missing, _names = await _check_org_llm(sor, org_id) if llm_missing: diff --git a/pipeline_service/platform_ability.py b/pipeline_service/platform_ability.py deleted file mode 100644 index 40fd582..0000000 --- a/pipeline_service/platform_ability.py +++ /dev/null @@ -1,521 +0,0 @@ -""" -pipeline-service: platform_ability — 平台内部 agent 能力包（pipeline_id=platform_general） - -产线平台自身的运维/管理 agent：拥有平台应用和各模块的技能， -核心能力是「通读模型 API 文档 → 自动生成模型治理配置（供应商/适配模板/模型/定价）」。 - -权限模型（代码层硬门禁，不依赖 prompt）： - 所有工具 handler 入口校验调用者的 RBAC 角色 ∈ {owner.superuser, owner.admin}。 - 内部 agent 只服务管理员——普通用户即使打开页面也调不动任何工具。 - -配置生成链路（用户给定 API 文档 → 完成配置）： - ① fetch_model_doc：抓取文档页面（SSRF 防护：仅 http(s) 公网域名） - ② extract_llm_api_spec：LLM 从文档提取端点/协议/请求响应格式/定价 - ③ apply_llm_config：写库——复用 pipeline-llm 模块的 CRUD 函数 - （llm_vendor.endpoints + llm_api_profile 模板 + llm_model 含四价） -""" - -import json -import logging -import re - -from pipeline_core import ( - ToolDefinition, - PipelineAbility, - register_ability, -) - -logger = logging.getLogger("pipeline.platform_ability") - -PLATFORM_PIPELINE_ID = "platform_general" - -# 管理角色：内部 agent 仅管理员可用 -ADMIN_ROLES = ("owner.superuser", "owner.admin") - -# 当前运行时调用链支持的协议（llm_bridge 固定 OpenAI 兼容路径）。 -# 其他协议的适配模板会存入 llm_api_profile 备查，但运行时暂不渲染。 -RUNTIME_PROTOCOLS = ("openai_compat",) - - -# ────────────────────── 权限门禁（代码层） ────────────────────── - -async def _require_admin(sor, ctx) -> str: - """校验当前用户是管理员。返回 ''=通过，否则错误信息。""" - uid = ctx.get("user_id", "") or "" - if not uid: - return "无法识别当前用户身份（未登录），内部 agent 仅管理员可用" - recs = await sor.sqlExe( - "SELECT r.orgtypeid, r.name FROM userrole ur JOIN role r ON ur.roleid=r.id " - "WHERE ur.userid=${u}$", {"u": uid}) - await sor.sqlExe("COMMIT", {}) - roles = set() - for r in (recs or []): - o = getattr(r, "orgtypeid", "") or "" - n = getattr(r, "name", "") or "" - if o and n: - roles.add("%s.%s" % (o, n)) - if roles & set(ADMIN_ROLES): - return "" - return "权限不足：内部 agent 工具仅管理员（%s）可用，当前角色 %s" % ( - "/".join(ADMIN_ROLES), sorted(roles) or "无") - - -def _row(r): - """sqlor row → dict（容忍属性访问）。""" - if hasattr(r, "__dict__"): - return {k: v for k, v in r.__dict__.items() if not k.startswith("_")} - return {} - - -# ────────────────────── 工具 1：模型治理状态 ────────────────────── - -async def _h_platform_llm_status(sor, params, ctx): - """供应商/账号/模型/用量概览（管理员诊断配置用）。""" - err = await _require_admin(sor, ctx) - if err: - return err - out = {} - for tbl in ("llm_vendor", "llm_account", "llm_model"): - recs = await sor.sqlExe( - "SELECT status, COUNT(*) AS c FROM " + tbl + " GROUP BY status", {}) - await sor.sqlExe("COMMIT", {}) - out[tbl] = {getattr(r, "status", ""): int(getattr(r, "c", 0)) for r in (recs or [])} - accs = await sor.sqlExe( - "SELECT name, balance, status FROM llm_account ORDER BY balance DESC LIMIT 20", {}) - await sor.sqlExe("COMMIT", {}) - out["accounts"] = [ - {"name": getattr(r, "name", ""), "balance": float(getattr(r, "balance", 0) or 0), - "status": getattr(r, "status", "")} for r in (accs or [])] - models = await sor.sqlExe( - "SELECT name, vendor_model_id, capability, price_input, price_output, status " - "FROM llm_model ORDER BY created_at DESC LIMIT 30", {}) - await sor.sqlExe("COMMIT", {}) - out["models"] = [ - {"name": getattr(r, "name", ""), "vendor_model_id": getattr(r, "vendor_model_id", ""), - "capability": getattr(r, "capability", ""), - "price_input": float(getattr(r, "price_input", 0) or 0), - "price_output": float(getattr(r, "price_output", 0) or 0), - "status": getattr(r, "status", "")} for r in (models or [])] - return json.dumps(out, ensure_ascii=False) - - -# ────────────────────── 工具 2：抓取模型 API 文档 ────────────────────── - -_MAX_DOC_CHARS = 60000 - - -def _validate_doc_url(url: str) -> str: - """SSRF 防护：仅允许 http(s) + 公网域名。返回 ''=通过，否则错误。""" - if not re.match(r"^https?://", url or ""): - return "文档 URL 必须是 http/https 链接" - host = re.sub(r"^https?://", "", url).split("/")[0].split(":")[0].lower() - if not re.match(r"^[a-z0-9][a-z0-9.-]+\.[a-z]{2,}$", host): - return "文档 URL 域名非法（不接受 IP/内网地址）" - if host in ("localhost",) or host.endswith((".local", ".internal", ".localhost")): - return "文档 URL 不允许指向内网/本地地址" - return "" - - -def _html_to_text(html: str) -> str: - """粗暴去标签提取文本（文档页面用，不追求完美排版）。""" - txt = re.sub(r"(?is)<(script|style|noscript)[^>]*>.*?", " ", html or "") - txt = re.sub(r"(?is)<[^>]+>", " ", txt) - txt = re.sub(r" ", " ", txt) - txt = re.sub(r"<", "<", txt) - txt = re.sub(r">", ">", txt) - txt = re.sub(r"&", "&", txt) - txt = re.sub(r""", '"', txt) - txt = re.sub(r"[ \t]+", " ", txt) - txt = re.sub(r"\n\s*\n+", "\n", txt) - return txt.strip() - - -async def _h_fetch_model_doc(sor, params, ctx): - """抓取模型 API 文档页面 → 纯文本（供 LLM 提取配置规格）。""" - err = await _require_admin(sor, ctx) - if err: - return err - url = (params.get("url") or "").strip() - verr = _validate_doc_url(url) - if verr: - return verr - import aiohttp - try: - timeout = aiohttp.ClientTimeout(total=30) - async with aiohttp.ClientSession(timeout=timeout) as sess: - async with sess.get(url, headers={"User-Agent": "Mozilla/5.0"}, - allow_redirects=True, ssl=False) as resp: - if resp.status != 200: - return "抓取失败：HTTP %d" % resp.status - ctype = resp.headers.get("Content-Type", "") - raw = await resp.text(errors="replace") - except Exception as e: - return "抓取失败：%s" % str(e)[:200] - if "html" in ctype.lower() or raw.lstrip()[:15].lower().startswith((" _MAX_DOC_CHARS: - text = text[:_MAX_DOC_CHARS] + "\n[文档过长已截断，共 %d 字符]" % len(text) - return text - - -# ────────────────────── 工具 3：提取配置规格（LLM） ────────────────────── - -_EXTRACT_PROMPT = """你是大模型 API 配置专家。通读下面这份模型 API 文档，提取配置规格。 - -只输出一个 JSON 对象（不要 markdown 代码块），字段： -{ - "vendor_name": "供应商名称", - "base_url": "API 基础地址（如 https://dashscope.aliyuncs.com/compatible-mode/v1）", - "protocol": "openai_compat | dashscope_async | custom（能走 /chat/completions 的填 openai_compat）", - "endpoints": [{"base_url": "...", "region": "domestic|international", "timeout": 60}], - "chat_path": "对话接口路径（如 /chat/completions）", - "auth_header": "认证头格式说明（如 Bearer API_KEY）", - "request_fields": ["请求体字段名列表"], - "response_format": "响应格式说明（content 字段路径 + usage 字段路径）", - "models": [{"vendor_model_id": "供应商侧模型ID", "capability": "t2t|t2i|i2t|t2v|embedding|rerank|tts|asr", - "price_input": 输入价元/千token或null, "price_output": 输出价元/千token或null, - "cost_input": 输入成本元/千token或null, "cost_output": 输出成本元/千token或null, - "description": "一句话说明"}], - "doc_notes": "文档中影响配置的关键注意点" -} - -定价规则： -- 文档给的单位若是「元/百万tokens」，换算为「元/千tokens」= 原价/1000，保留6位小数 -- 文档没写价格的模型：价格字段填 null（禁止编造价格），在 description 注明 -- cost_* 未知时与 price_* 相同（无供应商折扣时成本=售价） - -文档内容： -""" - - -async def _h_extract_llm_api_spec(sor, params, ctx): - """LLM 通读文档文本 → 结构化配置规格（JSON）。""" - err = await _require_admin(sor, ctx) - if err: - return err - doc_text = (params.get("doc_text") or "").strip() - if len(doc_text) < 100: - return "文档文本太短（<100字符），无法提取配置——先用 fetch_model_doc 抓取" - try: - from .llm_bridge import llm_call_msgs - raw = await llm_call_msgs( - [{"role": "system", "content": _EXTRACT_PROMPT}, - {"role": "user", "content": doc_text[:48000]}], - temperature=0.1, org_id="0", user_id=ctx.get("user_id", "")) - except Exception as e: - return "LLM 提取失败：%s" % str(e)[:200] - txt = (raw or "").strip() - if txt.startswith("```"): - txt = txt.split("\n", 1)[1] if "\n" in txt else txt - txt = txt.rsplit("```", 1)[0] - try: - spec = json.loads(txt) - except Exception: - m = re.search(r"\{.*\}", txt, re.S) - if not m: - return "LLM 输出不是合法 JSON：%s" % txt[:300] - try: - spec = json.loads(m.group(0)) - except Exception: - return "LLM 输出不是合法 JSON：%s" % txt[:300] - return json.dumps(spec, ensure_ascii=False) - - -# ────────────────────── 工具 4：写入配置（幂等） ────────────────────── - -def _f(v, default=0.0): - try: - return float(v) - except (TypeError, ValueError): - return default - - -async def _h_apply_llm_config(sor, params, ctx): - """按提取的规格写库：供应商（复用/新建）+ 适配模板 + 模型（含定价）。 - - 幂等：供应商按名称复用；模型按 (vendor, vendor_model_id) 复用—— - 已存在则更新定价，不重复创建。 - """ - err = await _require_admin(sor, ctx) - if err: - return err - try: - spec = json.loads(params.get("spec") or "{}") - except Exception: - return "spec 不是合法 JSON" - vendor_name = (spec.get("vendor_name") or "").strip() - if not vendor_name: - return "spec 缺少 vendor_name" - endpoints = spec.get("endpoints") or [] - if not endpoints and spec.get("base_url"): - endpoints = [{"base_url": spec["base_url"], "region": "domestic", "timeout": 60}] - if not endpoints: - return "spec 缺少 endpoints/base_url" - protocol = (spec.get("protocol") or "openai_compat").strip() or "openai_compat" - models = spec.get("models") or [] - if not models: - return "spec.models 为空——文档里没有可配置的模型？" - - from appPublic.uniqueID import getID - - # 1. 供应商：按名称复用 - recs = await sor.sqlExe( - "SELECT id, endpoints FROM llm_vendor WHERE name=${n}$", {"n": vendor_name}) - await sor.sqlExe("COMMIT", {}) - if recs: - vendor_id = getattr(recs[0], "id", "") - eps_old = [] - try: - eps_old = json.loads(getattr(recs[0], "endpoints", "") or "[]") - except Exception: - eps_old = [] - merged = list(eps_old) - added_eps = [] - for ep in endpoints: - bu = (ep.get("base_url") or "").rstrip("/") - if bu and bu not in [(e.get("base_url") or "").rstrip("/") for e in merged]: - merged.append({"base_url": bu, "region": ep.get("region") or "domestic", - "timeout": int(_f(ep.get("timeout"), 60))}) - added_eps.append(bu) - await sor.sqlExe( - "UPDATE llm_vendor SET endpoints=${e}$, protocol=${p}$, updated_at=NOW() " - "WHERE id=${i}$", - {"e": json.dumps(merged, ensure_ascii=False), "p": protocol, "i": vendor_id}) - await sor.sqlExe("COMMIT", {}) - vendor_action = "复用供应商 %s（新增端点 %d 个）" % (vendor_id, len(added_eps)) - else: - vendor_id = getID() - eps_norm = [{"base_url": (ep.get("base_url") or "").rstrip("/"), - "region": ep.get("region") or "domestic", - "timeout": int(_f(ep.get("timeout"), 60))} for ep in endpoints] - await sor.C("llm_vendor", { - "id": vendor_id, "name": vendor_name, "protocol": protocol, - "endpoints": json.dumps(eps_norm, ensure_ascii=False), - "description": spec.get("doc_notes", "") or "", - "status": "active", "org_id": "0"}) - vendor_action = "新建供应商 %s（%s）" % (vendor_id, vendor_name) - - # 2. 适配模板：按 (协议×能力) 复用，缺则新建 - profile_ids = {} - caps = sorted(set((m.get("capability") or "t2t") for m in models)) - for cap in caps: - recs = await sor.sqlExe( - "SELECT id FROM llm_api_profile WHERE protocol=${p}$ AND capability=${c}$ " - "AND status='active' ORDER BY created_at DESC LIMIT 1", - {"p": protocol, "c": cap}) - await sor.sqlExe("COMMIT", {}) - if recs: - profile_ids[cap] = getattr(recs[0], "id", "") - continue - req_tpl, resp_tpl = _default_templates(protocol, cap, spec) - pid = getID() - await sor.C("llm_api_profile", { - "id": pid, "name": "%s-%s-自动配置" % (protocol, cap), - "protocol": protocol, "capability": cap, - "request_template": req_tpl, "response_template": resp_tpl, - "param_schema": json.dumps([{"name": "prompt", "label": "提示词", - "uitype": "textarea", "required": True}], - ensure_ascii=False), - "status": "active"}) - profile_ids[cap] = pid - - # 3. 模型：按 (vendor, vendor_model_id) 幂等 - created, updated, skipped = [], [], [] - for m in models: - vmid = (m.get("vendor_model_id") or "").strip() - if not vmid: - skipped.append("(缺 vendor_model_id)") - continue - cap = m.get("capability") or "t2t" - price_in, price_out = _f(m.get("price_input")), _f(m.get("price_output")) - cost_in = _f(m.get("cost_input"), price_in) - cost_out = _f(m.get("cost_output"), price_out) - recs = await sor.sqlExe( - "SELECT id FROM llm_model WHERE vendor_id=${v}$ AND vendor_model_id=${m}$", - {"v": vendor_id, "m": vmid}) - await sor.sqlExe("COMMIT", {}) - if recs: - mid = getattr(recs[0], "id", "") - await sor.sqlExe( - "UPDATE llm_model SET price_input=${pi}$, price_output=${po}$, " - "cost_input=${ci}$, cost_output=${co}$, description=${d}$, updated_at=NOW() " - "WHERE id=${i}$", - {"pi": price_in, "po": price_out, "ci": cost_in, "co": cost_out, - "d": m.get("description", "") or "", "i": mid}) - await sor.sqlExe("COMMIT", {}) - updated.append(vmid) - continue - mid = getID() - await sor.C("llm_model", { - "id": mid, "vendor_id": vendor_id, "account_id": "", - "name": vmid, "vendor_model_id": vmid, "capability": cap, - "sync_mode": "sync", "profile_id": profile_ids.get(cap, ""), - "ppid": "", "price_input": price_in, "price_output": price_out, - "cost_input": cost_in, "cost_output": cost_out, - "default_params": "{}", "status": "active", - "description": m.get("description", "") or "", "org_id": "0"}) - created.append(vmid) - - rt_note = "" - if protocol not in RUNTIME_PROTOCOLS: - rt_note = ("⚠️ 协议「%s」的适配模板已存档，但当前运行时调用链仅支持 %s——" - "该供应商模型暂不可被产线直接调用" % (protocol, "/".join(RUNTIME_PROTOCOLS))) - return json.dumps({ - "vendor": vendor_action, "profiles": profile_ids, - "models_created": created, "models_updated": updated, "models_skipped": skipped, - "runtime_note": rt_note, - }, ensure_ascii=False) - - -def _default_templates(protocol: str, capability: str, spec: dict) -> tuple: - """生成适配模板默认值（headers/data/response）。 - - OpenAI 兼容协议用平台标准模板；其他协议按文档格式生成骨架供人工微调。 - """ - chat_path = (spec.get("chat_path") or "/chat/completions").strip() - if protocol == "openai_compat": - req = json.dumps({ - "path": chat_path, "method": "POST", - "headers": {"Authorization": "Bearer {{api_key}}", - "Content-Type": "application/json"}, - "params": {}, - "data": {"model": "{{model}}", "messages": "{{messages}}", - "temperature": "{{temperature}}", "stream": False}, - }, ensure_ascii=False) - resp = json.dumps({ - "content": "choices[0].message.content", - "usage": {"prompt_tokens": "usage.prompt_tokens", - "completion_tokens": "usage.completion_tokens"}, - }, ensure_ascii=False) - return req, resp - # 非标准协议：骨架模板（字段路径来自文档提取），标注需人工核对 - req = json.dumps({ - "path": chat_path, "method": "POST", - "headers": {"Authorization": "Bearer {{api_key}}", - "Content-Type": "application/json"}, - "params": {}, - "data": {"__from_doc__": spec.get("request_fields") or []}, - "__note__": "非 openai_compat 协议骨架模板，需按文档人工核对", - }, ensure_ascii=False) - resp = json.dumps({ - "content": spec.get("response_format", "") or "待按文档填写", - "__note__": "需人工核对", - }, ensure_ascii=False) - return req, resp - - -# ────────────────────── 工具 5：模块/应用信息查询 ────────────────────── - -async def _h_platform_modules(sor, params, ctx): - """列出平台已装载的业务模块（内部 agent 了解平台构成用）。""" - err = await _require_admin(sor, ctx) - if err: - return err - mods = [] - for name, title in [ - ("pipeline_core", "产线核心（会话/技能/项目）"), - ("pipeline_service", "执行引擎（任务链/角色/治理）"), - ("pipeline-llm", "模型治理（供应商/账号/模型/定价/记账）"), - ("pipeline-bidding", "投标产线"), - ("pipeline-opportunity", "商机产线"), - ("pipeline-sdlc", "开发产线前端"), - ("pipeline-ops", "运维"), - ("pipeline-dist", "分销"), - ("pipeline-task", "任务中心"), - ]: - try: - __import__(name.replace("-", "_")) - loaded = True - except Exception: - loaded = False - mods.append({"module": name, "title": title, "loaded": loaded}) - return json.dumps(mods, ensure_ascii=False) - - -# ────────────────────── 工具定义 ────────────────────── - -PLATFORM_TOOLS = [ - ToolDefinition( - name="platform_llm_status", - description="查看模型治理状态：供应商/账号余额/模型定价/各状态分布。用户问「模型配置状态/账号余额」时调用。仅管理员可用。", - parameters={}, - category="platform", - ), - ToolDefinition( - name="fetch_model_doc", - description="抓取大模型供应商的 API 文档页面（返回纯文本）。配置新模型前先用此抓取官方文档。仅管理员可用。", - parameters={"url": "文档页面 URL（必须是公网 http/https）"}, - category="platform", - ), - ToolDefinition( - name="extract_llm_api_spec", - description="通读文档文本，LLM 提取 API 配置规格（端点/协议/请求响应格式/定价）。配合 fetch_model_doc 使用。仅管理员可用。", - parameters={"doc_text": "fetch_model_doc 返回的文档文本"}, - category="platform", - ), - ToolDefinition( - name="apply_llm_config", - description="按提取的规格写入模型治理配置：供应商/端点/适配模板/模型（含定价）。幂等——已有模型只更新定价。仅管理员可用。", - parameters={"spec": "extract_llm_api_spec 返回的 JSON 规格"}, - category="platform", - requires_confirmation=True, - ), - ToolDefinition( - name="platform_modules", - description="列出平台已装载的业务模块清单。用户问「平台有哪些模块」时调用。仅管理员可用。", - parameters={}, - category="platform", - ), -] - -PLATFORM_PROMPT = """ -你是产线平台的内部运维 agent，服务对象是平台管理员。 - -## 模型自动配置工作流（用户给你文档 URL 要求配置模型时） -1. `fetch_model_doc` 抓取官方文档页面 -2. `extract_llm_api_spec` 通读文档提取配置规格——**定价只允许来自文档原文**，文档没写的价格一律 null，禁止编造 -3. 把提取结果摘要给用户确认（尤其定价和端点），用户确认后 -4. `apply_llm_config` 写入（幂等：已有模型只更新定价） - -## 硬规则 -- 定价单位统一「元/千tokens」（文档给百万价要 ÷1000） -- cost_*（供应商成本）未知时与 price_* 相同 -- 非 openai_compat 协议的模型：模板会存档但运行时暂不可调用，必须如实告知 -- 文档抓取失败/内容不足时如实说明，不要凭记忆编造 API 格式 -- 所有工具仅管理员可用，权限报错时如实转告用户 - -## 平台知识 -平台模块清单用 `platform_modules` 查询；技能库中「平台」相关技能（skills_library/all/ 与 -pipelines/platform_general/）包含各模块的开发规范与踩坑记录，需要时用 load_skill 加载。 -""" - -PLATFORM_HANDLERS = { - "platform_llm_status": _h_platform_llm_status, - "fetch_model_doc": _h_fetch_model_doc, - "extract_llm_api_spec": _h_extract_llm_api_spec, - "apply_llm_config": _h_apply_llm_config, - "platform_modules": _h_platform_modules, -} - - -def register_platform_ability(): - """注册平台内部 agent 能力包（幂等）。""" - ability = PipelineAbility( - pipeline_id=PLATFORM_PIPELINE_ID, - name="平台内部 agent", - tools=PLATFORM_TOOLS, - system_prompt=PLATFORM_PROMPT, - handlers=PLATFORM_HANDLERS, - roles=[], - menus=[ - {"label": "📊 模型治理", "icon": "", "url": "/pipeline-llm", - "type": "tab"}, - ], - ) - register_ability(ability) - return ability - - -register_platform_ability() diff --git a/pipeline_service/task_capability.py b/pipeline_service/task_capability.py index 070f474..58aae0a 100644 --- a/pipeline_service/task_capability.py +++ b/pipeline_service/task_capability.py @@ -8,6 +8,7 @@ 角色规范：role 参数用 agent.{role}（无前缀自动补 agent.）；人角色用 {orgtype}.{role}。 """ +import json import logging from sqlor.dbpools import DBPools from appPublic.uniqueID import getID @@ -105,8 +106,35 @@ async def claim_task(tenant_id, role, agent_id, from_state=S_SUBMITTED, return True, task_id +async def _task_skip_generic_qc(task_id): + """任务是否声明豁免通用 QC 门禁（params.skip_generic_qc，产线自带质量门禁时用）。""" + if not task_id: + return False + db, dbname = _get_db() + async with db.sqlorContext(dbname) as sor: + recs = await sor.sqlExe( + "SELECT params FROM pipeline_tasks WHERE id=${tid}$", {"tid": task_id}) + await sor.sqlExe("COMMIT", {}) + if not recs: + return False + try: + p = json.loads(getattr(recs[0], 'params', '') or '{}') + except Exception: + return False + return isinstance(p, dict) and bool(p.get('skip_generic_qc')) + + async def submit_task(task_id, tenant_id, who=None, agent_id=None): - """提交产出：running → qc_review（清 claimed_by，先过 QC 合规/质量门禁）。""" + """提交产出：running → qc_review（清 claimed_by，先过 QC 合规/质量门禁）。 + + 声明式豁免（2026-09-03）：params.skip_generic_qc=true 的任务直接 running → approved， + 跳过通用 QC/PM 门禁——该任务的质量判定由产线自身流转引擎负责 + （如投标产线：章节评审打分 + 解析产出契合度审核），通用门禁不接管。 + """ + if await _task_skip_generic_qc(task_id): + return await _transition(task_id, tenant_id, S_RUNNING, S_APPROVED, 'submit', + who=who, agent_id=agent_id, + detail='skip_generic_qc：产线自带质量门禁，豁免通用QC/PM门禁') return await _transition(task_id, tenant_id, S_RUNNING, S_QC_REVIEW, 'submit', who=who, agent_id=agent_id) @@ -163,6 +191,15 @@ async def qc_reject_task(task_id, tenant_id, who=None, agent_id=None, comment=No who=who, agent_id=agent_id, comment=comment) +async def qc_exempt_task(task_id, tenant_id, who=None, agent_id=None, comment=None): + """豁免放行：qc_review → approved（任务声明 skip_generic_qc 时，通用门禁的兜底放行）。 + + 用于存量已卡在 qc_review 的豁免任务：认领后不再做交付件检查，直接放行。 + """ + return await _transition(task_id, tenant_id, S_QC_REVIEW, S_APPROVED, 'qc_exempt', + who=who, agent_id=agent_id, detail=comment) + + async def approve_task(task_id, tenant_id, who=None, agent_id=None, comment=None): """审核通过：review → approved。""" return await _transition(task_id, tenant_id, S_REVIEW, S_APPROVED, 'approve',