980 lines
69 KiB
Python
980 lines
69 KiB
Python
"""对话目标 → 分阶段页面执行 → 来源分析 → 独立复盘。"""
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from __future__ import annotations
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import asyncio
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import json
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import re
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import uuid
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from copy import deepcopy
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from typing import Any
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from backend.browser import runner
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from backend.browser.llm_factory import get_llm_config
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from backend.config import settings
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from backend.db import database as db
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from backend.orchestrator.progress_doc import append_progress, init_progress_doc, task_doc_dir, write_summary
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from backend.prospecting.analysis import analyze_sources
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from backend.prospecting.contracts import ALLOWED_DOMAINS, BUSINESS_ID, KNOWLEDGE_ID, ProspectingBrief
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from backend.prospecting.dialogue import interpret_message
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from backend.prospecting.prompts import browser_prompt
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from backend.prospecting.request_routing import browser_recheck_requested, browser_recheck_brief, ground_execution_plan, recheck_without_analysis
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from backend.browser.preflight_policy import PreflightPolicy, compile_preflight_policy
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BRIEF_FIELDS = set(ProspectingBrief.model_fields)
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EXECUTION_POLICY = "conversation-v1"
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REQUIREMENTS_GROUNDING_VERSION = "request-fields-v2"
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CONTROL_CONTINUE = {"继续", "继续执行", "已处理，请继续", "已登录，继续", "用户已处理，请继续"}
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CONTROL_STOP = {"停止", "暂停", "停一下", "暂停一下", "停止任务", "停止执行", "先停下来", "先停一下"}
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CONTROL_STATUS = {"进度怎么样", "进度怎么样了", "进展怎么样", "现在进度怎么样", "当前进度", "查看进度", "任务进度", "现在什么情况", "做到哪了", "你现在在干嘛"}
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def ranked_experience(task: dict) -> list[dict]:
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from backend.prospecting import knowledge
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from backend.prospecting.verification import context_for
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context = context_for(task)
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available = knowledge.list_methods(context, include_legacy=False)
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context["available_method_ids"] = [row["id"] for row in available if row.get("kind") == "operation"
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and row.get("applicability") and row.get("status") != "paused"]
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return knowledge.select_methods(context)
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def persist_knowledge(task: dict, artifacts: dict) -> dict:
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from backend.prospecting.verification import synchronize
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return synchronize(task, artifacts)
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def requested_file(task: dict, artifacts: dict) -> dict:
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if task.get("inputs", {}).get("intent") != "export" and "csv" not in (task.get("inputs", {}).get("required_result_fields") or []):
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return artifacts
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from backend.prospecting import workflows
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from backend.prospecting.verification import export_fact
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task = db.update_task(task["id"], artifacts=artifacts)
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if any(row.get("available") and row.get("is_current") for row in workflows.list_exports(task)):
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return task["artifacts"]
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entry = workflows.export_leads(task)
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task = db.get_task(task["id"])
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artifacts = export_fact(task, entry)
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try:
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artifacts = persist_knowledge(task, artifacts)
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except Exception:
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artifacts["learning_error"] = "文件已生成，方法验证记录暂未保存。"
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db.update_task(task["id"], artifacts=artifacts)
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return artifacts
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def _merge_learning_evidence(field: str, checkpoint: list, persisted: list) -> tuple[list[dict], list[dict]]:
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"""Union saved learning records; DB wins ambiguous conflicts, both stay auditable."""
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indexed: dict[str, dict] = {}
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origins: dict[str, str] = {}
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conflicts = []
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for origin, rows in (("checkpoint", checkpoint), ("database", persisted)):
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for row in rows:
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if not isinstance(row, dict):
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continue
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raw_identity = row.get("key") if field == "learning_candidates" else row.get("entry_id", row.get("id"))
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identity = str(raw_identity) if raw_identity is not None else json.dumps(row, sort_keys=True, ensure_ascii=False)
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previous = indexed.get(identity)
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conflicting = sorted(key for key in row if previous is not None and key in previous and row[key] != previous[key])
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if conflicting:
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conflicts.append({"field": field, "identity": identity, "conflicting_fields": conflicting,
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"kept_origin": origin, "kept": dict(row),
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"other_origin": origins[identity], "other": dict(previous)})
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indexed[identity] = {**(previous or {}), **row}
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origins[identity] = origin
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return list(indexed.values()), conflicts
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def collection_is_incomplete(task: dict) -> bool:
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"""A saved-source review cannot complete an unfinished collection stage.
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Consult recorded outcomes as well as stop strings, including old tasks
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whose unsuccessful done was incorrectly labelled agent_done.
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"""
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if task.get("inputs", {}).get("intent", "discover") not in {"discover", "research", "inspect"}:
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return False
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artifacts = task.get("artifacts") or {}
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from backend.prospecting.people import target_reached
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if artifacts.get("stop_reason") == "target_reached" and target_reached(task):
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return False
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history = artifacts.get("browser_history") or {}
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return artifacts.get("browser_verdict") in {"failed", "interrupted"} or history.get("is_successful") is False
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class ProspectingOrchestrator:
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def __init__(self) -> None:
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self.jobs: dict[str, asyncio.Task] = {}
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self.active_task: str | None = None
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@staticmethod
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def task(task_id: str) -> dict:
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task = db.get_task(task_id)
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if not task or task["knowledge_id"] != KNOWLEDGE_ID:
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raise ValueError("拓客任务不存在")
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return task
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@staticmethod
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def _brief(task: dict) -> ProspectingBrief:
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return ProspectingBrief.model_validate({key: value for key, value in task["inputs"].items() if key in BRIEF_FIELDS})
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@staticmethod
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def _message(artifacts: dict, role: str, text: str) -> None:
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if not text:
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return
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messages = artifacts.setdefault("messages", [])
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if messages and messages[-1].get("role") == role and messages[-1].get("text") == text:
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return
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messages.append({"id": uuid.uuid4().hex, "role": role, "text": text})
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@staticmethod
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def _default_plan(brief: ProspectingBrief) -> dict:
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stages = {"discover": ["搜索发现", "阅读讨论及回复", "需求判断", "整理结果"],
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"research": ["搜索发现", "阅读讨论及回复", "需求研究"],
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"inspect": ["检查指定页面", "阅读讨论及回复", "整理结果"],
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"export": ["整理现有名单", "导出"], "follow": ["核对对象", "关注"],
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"message": ["核对对象及话术", "私信", "核对发送结果"]}[brief.intent]
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return {"summary": brief.user_notes or brief.target_customer or "按当前条件推进任务", "stages": stages,
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"missing": brief.missing(), "assumptions": [], "reuse_existing_sources": False}
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@staticmethod
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def _review(task_id: str, artifacts: dict) -> dict:
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from backend.prospecting.workflows import finalize_review
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return finalize_review(task_id, artifacts)
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def recover_interrupted(self) -> None:
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for task in db.list_tasks(1000):
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if task["knowledge_id"] == KNOWLEDGE_ID and task["status"] in ("running", "paused"):
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artifacts = self._recover_evidence(task["id"], task.get("artifacts") or {})
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artifacts["analysis_pending"] = bool(artifacts.get("sources"))
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artifacts["browser_verdict"] = "interrupted"
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artifacts["stop_reason"] = "app_interrupted"
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artifacts["stop_detail"] = "应用重启中断了执行；已有来源及动作记录保留，可以继续同一任务"
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db.update_task(task["id"], status="blocked", artifacts=artifacts,
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pause_reason=artifacts["stop_detail"], current_step="interrupted")
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@staticmethod
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def _recover_evidence(task_id: str, artifacts: dict) -> dict:
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recovered = dict(artifacts)
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snapshot = task_doc_dir(task_id) / "evidence.json"
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if snapshot.exists():
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try:
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saved = json.loads(snapshot.read_text(encoding="utf-8"))
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for key in ("sources", "learning_candidates", "learning_outcomes", "profiles", "source_observations", "reply_expansions", "operation_evidence", "navigation_attempts", "preflight_observations", "preflight_navigation"):
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if isinstance(saved.get(key), list):
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if key in {"sources", "profiles"}:
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# Checkpoints may be newer than the DB during a
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# browser run, or older after analysis/profile edits.
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# Preserve the union; same-source conflicts use the
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# latest observation, with DB winning unknown/ties.
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indexed = {}
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for row in saved[key]:
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if isinstance(row, dict):
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identity = row.get("source_id") or json.dumps(row, sort_keys=True, ensure_ascii=False)
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indexed[identity] = row
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for row in recovered.get(key) or []:
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if not isinstance(row, dict):
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continue
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identity = row.get("source_id") or json.dumps(row, sort_keys=True, ensure_ascii=False)
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previous = indexed.get(identity)
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old_time, new_time = (previous or {}).get("observed_at"), row.get("observed_at")
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if not previous or not old_time or not new_time or str(new_time) >= str(old_time):
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indexed[identity] = row
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recovered[key] = list(indexed.values())
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elif key in {"operation_evidence", "navigation_attempts", "preflight_observations", "preflight_navigation"}:
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recovered[key] = list({row["id"]: row for row in [*saved[key], *(recovered.get(key) or [])]
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if isinstance(row, dict) and row.get("id")}.values())
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elif key in {"learning_candidates", "learning_outcomes"}:
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merged, conflicts = _merge_learning_evidence(key, saved[key], recovered.get(key) or [])
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recovered[key] = merged
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if conflicts:
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audit = [*(recovered.get("learning_recovery_conflicts") or []), *conflicts]
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unique = {}
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for row in audit:
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fields = row.get("conflicting_fields") or []
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signature = json.dumps([row.get("field"), row.get("identity"), row.get("kept_origin"),
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{key: row.get("kept", {}).get(key) for key in fields},
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{key: row.get("other", {}).get(key) for key in fields}],
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sort_keys=True, ensure_ascii=False)
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unique.setdefault(signature, row)
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recovered["learning_recovery_conflicts"] = list(unique.values())
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else:
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recovered[key] = saved[key]
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marker = saved.get("preflight_run")
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if (not recovered.get("preflight_run") and isinstance(marker, dict)
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and set(marker) == {"run_id", "goal_version"} and isinstance(marker.get("run_id"), str)
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and re.fullmatch(r"[a-f0-9]{32}", marker["run_id"]) and type(marker.get("goal_version")) is int and marker["goal_version"] > 0):
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recovered["preflight_run"] = marker
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if isinstance(saved.get("coverage"), dict):
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recovered["coverage"] = saved["coverage"]
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if isinstance(saved.get("action_ledger"), list):
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# An in-flight browser snapshot can be older than a native
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# outreach action committed to the task row. DB entries win.
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actions = {row["id"]: row for row in saved["action_ledger"] if isinstance(row, dict) and row.get("id")}
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actions.update({row["id"]: row for row in recovered.get("action_ledger") or [] if row.get("id")})
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recovered["action_ledger"] = list(actions.values())
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except (ValueError, OSError, AttributeError):
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pass
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return recovered
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@staticmethod
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def _steps_used(task: dict) -> int:
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used = max(0, int(task["inputs"].get("_steps_used", 0)))
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checkpoint = task_doc_dir(task["id"]) / "browser-budget.json"
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if checkpoint.exists():
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try:
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saved = json.loads(checkpoint.read_text(encoding="utf-8"))
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total = saved["total_steps_used"]
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if type(total) is not int or total < 0:
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raise ValueError("invalid step total")
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used = max(used, total)
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except (ValueError, OSError, AttributeError, TypeError, KeyError) as error:
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raise ValueError("浏览器步骤台账无法核对，保留现有记录，请检查任务证据") from error
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return used
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async def start(self, message: str, inputs: dict | None = None) -> dict:
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brief = ProspectingBrief.model_validate(inputs or {})
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text = message.strip()
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if text and not brief.user_notes:
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brief = brief.model_copy(update={"user_notes": text[:2000]})
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# Explicit structured input is already an editable user plan. Plain
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# conversation must be interpreted; no regex guesses replace the model.
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structured = bool(inputs and any(inputs.get(key) for key in ("keywords", "target_customer", "subject_urls", "action_scope")))
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values = {**brief.model_dump(), "goal": text or brief.target_customer or "", "business_id": BUSINESS_ID,
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"_needs_interpretation": bool(text and not structured), "_goal_version": 1,
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"_execution_policy": EXECUTION_POLICY,
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"_requirements_grounding_version": REQUIREMENTS_GROUNDING_VERSION if structured else None}
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task = db.create_task(KNOWLEDGE_ID, "prospector", values)
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from backend.prospecting.usage import initialize_task
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initialize_task(task["id"])
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artifacts = {"plan": self._default_plan(brief), "messages": []}
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self._message(artifacts, "user", text)
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task = db.update_task(task["id"], artifacts=artifacts)
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init_progress_doc(task["id"], "小红书 AI 拓客", values["goal"])
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append_progress(task["id"], "理解任务目标", "collecting", text or "等待用户描述任务")
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return await self._prepare(task)
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async def _interrupt_for_revision(self, task_id: str, *, preserve_browser: bool = False) -> dict:
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with runner.preserve_managed_view_for_revision(task_id, enabled=preserve_browser) as preserved:
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job = self.jobs.get(task_id)
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if job and not job.done():
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job.cancel()
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try:
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await job
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except asyncio.CancelledError:
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pass
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await asyncio.sleep(0)
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if not preserved:
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await runner.close_live_session(task_id)
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if self.active_task == task_id:
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self.active_task = None
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current = self.task(task_id)
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artifacts = self._recover_evidence(task_id, current.get("artifacts") or {})
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return db.update_task(task_id, artifacts=artifacts, status="collecting", pause_reason=None)
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async def message(self, task_id: str, message: str) -> dict:
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text = message.strip()
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if not text:
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raise ValueError("请输入要补充或调整的内容")
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task = self.task(task_id)
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if text.rstrip("？?。！! ") in CONTROL_STOP:
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task = await self.cancel(task_id)
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artifacts = dict(task.get("artifacts") or {})
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self._message(artifacts, "user", text)
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self._message(artifacts, "assistant", "已停止后续执行，已有结果和进度保留，可以在本对话继续。")
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return db.update_task(task_id, artifacts=artifacts)
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if text.rstrip("？?。！! ") in CONTROL_STATUS:
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artifacts = self._recover_evidence(task_id, task.get("artifacts") or {})
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self._message(artifacts, "user", text)
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sources = artifacts.get("sources") or []
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notes = sum(row.get("source_type") == "note" for row in sources)
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comments = sum(row.get("source_type") in {"comment", "reply"} for row in sources)
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phase = {"search_read": "搜索与阅读", "analyze": "需求分析", "outreach_preflight": "跟进前置核对", "outreach_results": "跟进结果", "results": "结果整理", "stage_results": "阶段结果"}.get(task.get("current_step"), "任务处理")
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self._message(artifacts, "assistant", f"当前阶段：{phase}。已保存{notes}篇笔记、{comments}条评论或回复。" + (task.get("pause_reason") or artifacts.get("stop_detail") or "仍在执行，未保存的范围不计入已读。"))
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return db.update_task(task_id, artifacts=artifacts)
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if text in CONTROL_CONTINUE:
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artifacts = self._recover_evidence(task_id, task.get("artifacts") or {})
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self._message(artifacts, "user", text)
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task = db.update_task(task_id, artifacts=artifacts)
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return await self.resume(task_id, text)
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from backend.prospecting.cards import clarification
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previous_card = clarification(task)
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if (previous_card and len(previous_card["fields"]) == 1
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and previous_card["fields"][0]["key"] == "target_candidates"
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and re.fullmatch(r"[1-9][0-9]*", text) and not task["inputs"].get("_needs_interpretation")):
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return await self.clarify(task_id, previous_card["id"], previous_card["goal_version"], {previous_card["fields"][0]["id"]: text})
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task = await self._interrupt_for_revision(task_id, preserve_browser=browser_recheck_requested(text))
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artifacts = dict(task.get("artifacts") or {})
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if previous_card:
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from backend.prospecting.workflows import now
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artifacts.setdefault("clarification_history", []).append({**previous_card, "status": "responded_in_chat",
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"response_text": text, "submitted_at": now()})
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artifacts.pop("review_error", None)
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self._message(artifacts, "user", text)
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versions = artifacts.setdefault("goal_versions", [])
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if artifacts.get("leads"):
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artifacts.setdefault("analysis_goal_version", task["inputs"].get("_goal_version", 1))
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versions.append({"version": task["inputs"].get("_goal_version", 1), "goal": task["inputs"].get("goal", ""),
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"brief": self._brief(task).model_dump()})
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values = {**task["inputs"], "goal": text, "_needs_interpretation": True,
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"_goal_version": int(task["inputs"].get("_goal_version", 1)) + 1,
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"_execution_policy": EXECUTION_POLICY}
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artifacts["analysis_pending"] = False
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updated = db.update_task(task_id, inputs=values, artifacts=artifacts)
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return await self._prepare(updated)
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async def clarify(self, task_id: str, card_id: str, version: int, answers: dict[str, str]) -> dict:
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from backend.prospecting.cards import clarification, validate_answers
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from backend.prospecting.workflows import now
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task = self.task(task_id)
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if task_id in self.jobs or task["status"] == "running":
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raise ValueError("当前阶段仍在执行，请查看最新进展")
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text = validate_answers(task, card_id, version, answers)
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card = clarification(task)
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artifacts = dict(task.get("artifacts") or {})
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event = {"card_id": card_id, "goal_version": version, "answers": answers, "submitted_at": now()}
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artifacts.setdefault("clarification_submissions", []).append(event)
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artifacts.setdefault("clarification_history", []).append({**card, **event, "status": "answered"})
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db.update_task(task_id, artifacts=artifacts)
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if (card and len(card["fields"]) == 1 and card["fields"][0]["key"] == "target_candidates"
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and not task["inputs"].get("_needs_interpretation")):
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self._message(artifacts, "user", text)
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db.update_task(task_id, artifacts=artifacts)
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return await self.inputs(task_id, {"target_candidates": int(answers[card["fields"][0]["id"]])})
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# Exactly the same interpretation and same-task revision path as a chat
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# response. Form values cannot patch internal fields or grant outreach.
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return await self.message(task_id, text)
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async def review_saved(self, task_id: str, *, force: bool = False) -> dict:
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task = self.task(task_id)
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if task_id in self.jobs or task["status"] == "running":
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raise ValueError("请先等待当前阶段结束或停止，再复核资料")
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artifacts = self._recover_evidence(task_id, task.get("artifacts") or {})
|
||
if not artifacts.get("sources"):
|
||
raise ValueError("当前任务没有可复核的已保存来源")
|
||
from backend.prospecting.execution import analysis_is_current
|
||
needs_call = force or not analysis_is_current({**task, "artifacts": artifacts}, self._brief(task))
|
||
if needs_call and not get_llm_config()["api_key"]:
|
||
raise ValueError("尚未配置 DeepSeek Key，请先在设置中填写")
|
||
artifacts.pop("review_error", None)
|
||
artifacts.pop("analysis_cached", None)
|
||
# Reserve the task before the first await, preventing duplicate route
|
||
# selection while the parked browser is being released.
|
||
db.update_task(task_id, status="running", current_step="analyze", pause_reason=None, artifacts=artifacts)
|
||
# Stop a parked, paused session before independent analysis. No resume,
|
||
# no profile navigation, no outreach grant or account pause changes.
|
||
try:
|
||
await runner.close_live_session(task_id)
|
||
except Exception as error:
|
||
note = "执行页面尚未能释放，资料复核没有启动，请检查当前页面后继续"
|
||
from backend.prospecting.workflows import now
|
||
latest = self.task(task_id)
|
||
failed = dict(latest.get("artifacts") or {})
|
||
failed["review_error"] = {"message": note, "at": now()}
|
||
db.update_task(task_id, status="blocked", current_step="analyze", pause_reason=note, artifacts=failed)
|
||
raise ValueError(note) from error
|
||
if self.active_task == task_id:
|
||
self.active_task = None
|
||
task = self.task(task_id)
|
||
if task.get("status") != "running" or task.get("current_step") != "analyze":
|
||
raise ValueError("任务状态已变化，请查看最新进展")
|
||
artifacts = self._recover_evidence(task_id, task.get("artifacts") or {})
|
||
artifacts["analysis_pending"] = True
|
||
artifacts["reviewing_saved_only"] = True
|
||
artifacts.pop("review_error", None)
|
||
self._message(artifacts, "user", "按当前标准复核已保存资料，不新增网页操作。")
|
||
updated = db.update_task(task_id, status="running", current_step="analyze", pause_reason=None, artifacts=artifacts)
|
||
job = asyncio.create_task(self._run_saved_review(task_id, self._brief(updated), force=force))
|
||
self.jobs[task_id] = job
|
||
def release(completed: asyncio.Task, tid: str = task_id) -> None:
|
||
if self.jobs.get(tid) is completed:
|
||
self.jobs.pop(tid, None)
|
||
job.add_done_callback(release)
|
||
return updated
|
||
|
||
async def _run_saved_review(self, task_id: str, brief: ProspectingBrief, *, force: bool = False) -> None:
|
||
try:
|
||
task = self.task(task_id)
|
||
sources = (task.get("artifacts") or {}).get("sources") or []
|
||
append_progress(task_id, "复核已保存资料", "running", f"仅分析 {len(sources)} 条已保存来源，不操作网页")
|
||
from backend.prospecting.execution import analyze_evidence
|
||
from backend.prospecting.usage import usage_scope
|
||
with usage_scope(task_id, "review"):
|
||
analysis = await analyze_evidence(task, brief, analyze_sources, force=force)
|
||
artifacts = {**self.task(task_id).get("artifacts", {}), **analysis}
|
||
artifacts = requested_file(self.task(task_id), artifacts)
|
||
artifacts.update(analysis_pending=False, reviewing_saved_only=False)
|
||
artifacts.pop("review_error", None)
|
||
note = ("已有资料、判断标准和模型未变化，沿用已核验结果，本次未新增模型调用。" if analysis.get("analysis_cached") else
|
||
f"已复核 {analysis.get('analysis_new_count', len(sources))} 条新增或变化资料，复用 {analysis.get('analysis_reused_count', 0)} 条已有判断。")
|
||
note += f"保留 {len(analysis.get('leads') or [])} 条待核来源；未新增网页取证，原暂停与动作记录保留。"
|
||
artifacts["summary"] = note
|
||
self._message(artifacts, "assistant", note)
|
||
# A successful independent review does not clear a browser/platform
|
||
# failure. Keep that cause visible alongside the delivered result.
|
||
stop = artifacts.get("stop_reason")
|
||
if isinstance(stop, dict):
|
||
stop = stop.get("code") or stop.get("message")
|
||
incomplete_collection = collection_is_incomplete({**task, "artifacts": artifacts})
|
||
from backend.prospecting.people import target_progress
|
||
progress = target_progress({**task, "artifacts": artifacts})
|
||
shortfall = brief.intent == "discover" and progress.get("target") is not None and not progress["reached"]
|
||
blocked = shortfall or incomplete_collection or bool(artifacts.get("outreach_pause")) or stop not in {None, "agent_done", "model_done", "goal_completed", "export_ready", "review_completed", "target_reached"}
|
||
if incomplete_collection and stop in {None, "agent_done", "model_done", "goal_completed", "review_completed"}:
|
||
artifacts.update(stop_reason="agent_reported_failure", stop_detail="已保存资料的复核已完成；原网页采集仍有未完成范围，尚未完成整个任务。")
|
||
elif shortfall and stop in {None, "agent_done", "model_done", "goal_completed", "review_completed", "target_reached"}:
|
||
artifacts.update(stop_reason="target_shortfall", stop_detail=f"已保存资料复核结束，当前{progress['current']} / {progress['target']}位候选，尚未达到人数目标。")
|
||
if not blocked:
|
||
artifacts.update(stop_reason="review_completed", stop_detail=note)
|
||
db.update_task(task_id, status="blocked" if blocked else "completed", current_step="stage_results" if blocked else "results",
|
||
pause_reason=artifacts.get("stop_detail") if blocked else None, artifacts=artifacts)
|
||
append_progress(task_id, "已保存资料复核完成", "completed", note, level="success")
|
||
except asyncio.CancelledError:
|
||
raise
|
||
except Exception as error:
|
||
task = self.task(task_id)
|
||
artifacts = dict(task.get("artifacts") or {})
|
||
note = str(error)[:300] if isinstance(error, ValueError) else f"资料复核未完成：{type(error).__name__}，原结果保留"
|
||
artifacts.update(analysis_pending=True, reviewing_saved_only=False)
|
||
from backend.prospecting.workflows import now
|
||
artifacts["review_error"] = {"message": note, "at": now()}
|
||
self._message(artifacts, "assistant", note)
|
||
db.update_task(task_id, status="blocked", current_step="analyze", pause_reason=note, artifacts=artifacts)
|
||
finally:
|
||
task = self.task(task_id)
|
||
try:
|
||
self._learn(task_id, self._review(task_id, task.get("artifacts") or {}))
|
||
except Exception as error:
|
||
# A failed learning wrap-up is visible, without replacing the
|
||
# independently delivered result or the original account pause.
|
||
latest = self.task(task_id)
|
||
artifacts = dict(latest.get("artifacts") or {})
|
||
artifacts["learning_error"] = f"独立复盘未完成：{type(error).__name__}，现有结果保留"
|
||
db.update_task(task_id, artifacts=artifacts)
|
||
|
||
async def inputs(self, task_id: str, inputs: dict | None, message: str = "") -> dict:
|
||
task = self.task(task_id)
|
||
updates = inputs or {}
|
||
if set(updates) - BRIEF_FIELDS:
|
||
raise ValueError("只能更新目标条件，不能修改内部执行记录")
|
||
if updates:
|
||
from backend.prospecting.cards import clarification
|
||
from backend.prospecting.workflows import now
|
||
previous_card = clarification(task)
|
||
task = await self._interrupt_for_revision(task_id)
|
||
brief = ProspectingBrief.model_validate({**self._brief(task).model_dump(), **updates})
|
||
artifacts = dict(task.get("artifacts") or {})
|
||
if previous_card:
|
||
artifacts.setdefault("clarification_history", []).append({**previous_card, "status": "superseded", "submitted_at": now()})
|
||
artifacts.setdefault("goal_versions", []).append({"version": task["inputs"].get("_goal_version", 1),
|
||
"goal": task["inputs"].get("goal", ""), "brief": self._brief(task).model_dump()})
|
||
artifacts["plan"] = self._default_plan(brief)
|
||
if artifacts.get("leads"):
|
||
artifacts.setdefault("analysis_goal_version", task["inputs"].get("_goal_version", 1))
|
||
if set(updates) <= {"target_candidates", "discovery_scope", "max_notes", "max_comments_per_note"} and artifacts.get("analysis_cache"):
|
||
artifacts["analysis_goal_version"] = int(task["inputs"].get("_goal_version", 1)) + 1
|
||
artifacts["analysis_pending"] = bool(artifacts.get("sources"))
|
||
task = db.update_task(task_id, inputs={**task["inputs"], **brief.model_dump(), "_needs_interpretation": False,
|
||
"_goal_version": int(task["inputs"].get("_goal_version", 1)) + 1}, artifacts=artifacts)
|
||
if message.strip():
|
||
return await self.message(task_id, message)
|
||
return await self._prepare(task)
|
||
|
||
async def resume(self, task_id: str, answer: str = "继续") -> dict:
|
||
task = self.task(task_id)
|
||
if task["status"] == "running" or task_id in self.jobs:
|
||
raise ValueError("任务正在运行")
|
||
if (task.get("artifacts") or {}).get("review_error"):
|
||
self._reground_requirements_on_resume(task)
|
||
return await self.review_saved(task_id)
|
||
return await self._prepare(task, answer.strip()[:2000] or "用户已处理，请继续")
|
||
|
||
def _reground_requirements_on_resume(self, task: dict) -> dict:
|
||
"""Repair old compiled fields only on explicit continuation, never GET.
|
||
|
||
The later confirmed quantity remains authoritative. Previous goals,
|
||
source facts, files and validation events retain their original version.
|
||
"""
|
||
from backend.prospecting.dialogue import reground_requirements
|
||
values = dict(task["inputs"])
|
||
if (values.get("_requirements_grounding_version") == REQUIREMENTS_GROUNDING_VERSION
|
||
or values.get("_needs_interpretation")):
|
||
return task
|
||
artifacts = deepcopy(task.get("artifacts") or {})
|
||
messages = artifacts.get("messages") or []
|
||
if not any(row.get("role") == "user" and row.get("text", "").strip() for row in messages):
|
||
return task
|
||
before = self._brief(task)
|
||
after = reground_requirements(before, messages)
|
||
changes = {key: {"before": getattr(before, key), "after": getattr(after, key)}
|
||
for key in ("required_result_fields", "region") if getattr(before, key) != getattr(after, key)}
|
||
values["_requirements_grounding_version"] = REQUIREMENTS_GROUNDING_VERSION
|
||
if changes:
|
||
old_version = values.get("_goal_version", 1)
|
||
artifacts.setdefault("goal_versions", []).append({"version": old_version,
|
||
"goal": values.get("goal", ""), "brief": before.model_dump(), "reason": "request_fields_revalidated"})
|
||
values.update(after.model_dump())
|
||
values["_goal_version"] = int(old_version) + 1
|
||
artifacts.setdefault("requirement_corrections", []).append({"from_version": old_version,
|
||
"to_version": values["_goal_version"], "rule_version": REQUIREMENTS_GROUNDING_VERSION,
|
||
"changes": changes, "source": "original_user_instructions"})
|
||
note = "已按你的原话重新核对必需字段，保留后来确认的人数、已有资料与旧版本；后续按修正后的条件继续。"
|
||
self._message(artifacts, "assistant", note)
|
||
append_progress(task["id"], "按原话修正交付字段", "collecting", note)
|
||
# Do not relabel old analysis or files as current, and do not turn
|
||
# a normal browser continuation into an analysis-only job.
|
||
return db.update_task(task["id"], inputs=values, artifacts=artifacts)
|
||
|
||
async def _prepare(self, task: dict, continuation: str = "") -> dict:
|
||
task_id = task["id"]
|
||
brief = self._brief(task)
|
||
artifacts = dict(task.get("artifacts") or {})
|
||
values = dict(task["inputs"])
|
||
if not values.get("_execution_policy"):
|
||
artifacts.setdefault("policy_history", []).append({
|
||
"previous_policy": "legacy_form", "max_notes": brief.max_notes,
|
||
"max_comments_per_note": brief.max_comments_per_note,
|
||
"steps_used": values.get("_steps_used", 0), "next_policy": EXECUTION_POLICY,
|
||
})
|
||
# Old forms always supplied default quantities. Reinterpret actual
|
||
# user words so explicitly requested quantities can be recovered,
|
||
# rather than silently continuing a legacy default quota.
|
||
brief = brief.model_copy(update={"max_notes": None, "max_comments_per_note": None})
|
||
values.update(brief.model_dump())
|
||
values.update(_execution_policy=EXECUTION_POLICY, _needs_interpretation=bool(values.get("goal")))
|
||
task = db.update_task(task_id, inputs=values, artifacts=artifacts)
|
||
if continuation and not values.get("_needs_interpretation"):
|
||
task = self._reground_requirements_on_resume(task)
|
||
brief, artifacts, values = self._brief(task), dict(task.get("artifacts") or {}), dict(task["inputs"])
|
||
if browser_recheck_requested(values.get("goal", "")):
|
||
brief = browser_recheck_brief(brief, values["goal"])
|
||
values.update(brief.model_dump())
|
||
artifacts["analysis_pending"] = False
|
||
artifacts["plan"] = {**(artifacts.get("plan") or {}), "reuse_existing_sources": False}
|
||
preflight = (compile_preflight_policy(values.get("goal", ""), brief.max_notes)
|
||
if settings.reply_relation_preflight_enabled else PreflightPolicy())
|
||
if preflight.active:
|
||
brief = brief.model_copy(update={"intent": "inspect", "max_notes": preflight.max_notes})
|
||
values.update(brief.model_dump())
|
||
artifacts["analysis_pending"] = False
|
||
artifacts["plan"] = {**(artifacts.get("plan") or {}), "reuse_existing_sources": False}
|
||
if not values.get("goal") and brief.missing():
|
||
question = "你希望我在小红书上完成什么任务？"
|
||
self._message(artifacts, "assistant", question)
|
||
return db.update_task(task_id, status="collecting", current_step="brief", pause_reason=question, artifacts=artifacts)
|
||
# Export requires no model or browser and does not invent empty data.
|
||
if brief.intent == "export" and not values.get("_needs_interpretation"):
|
||
try:
|
||
artifacts = requested_file(task, artifacts)
|
||
except (OSError, ValueError):
|
||
artifacts.update(stop_reason="file_error", stop_detail="名单已保存，但文件暂未生成，请检查文件记录后继续。")
|
||
return db.update_task(task_id, status="blocked", current_step="export_ready", pause_reason=artifacts["stop_detail"], artifacts=artifacts)
|
||
artifacts["stop_reason"] = "export_ready"
|
||
question = "当前名单文件已生成，来源与未知字段已保留，可以直接打开。"
|
||
self._message(artifacts, "assistant", question)
|
||
return db.update_task(task_id, status="completed", current_step="export_ready", pause_reason=None, artifacts=artifacts)
|
||
if not get_llm_config()["api_key"]:
|
||
question = "尚未配置 DeepSeek Key。请在设置中填写并测试连接，再继续此任务。"
|
||
self._message(artifacts, "assistant", question)
|
||
artifacts.update(stop_reason="model_setup", stop_detail=question)
|
||
return db.update_task(task_id, status="blocked", current_step="model_setup", pause_reason=question, artifacts=artifacts)
|
||
if values.get("_needs_interpretation"):
|
||
try:
|
||
from backend.prospecting.usage import usage_scope
|
||
with usage_scope(task_id, "intent"):
|
||
plan = ground_execution_plan(await interpret_message(values.get("goal", ""), brief, artifacts.get("messages") or []), values.get("goal", ""))
|
||
# Public research remains opt-in; an inferred plan cannot enable it.
|
||
brief = plan.brief.model_copy(update={"use_web_search": brief.use_web_search,
|
||
"user_notes": plan.brief.user_notes or values.get("goal", "")[:2000]})
|
||
values.update(brief.model_dump())
|
||
values["_needs_interpretation"] = False
|
||
values["_requirements_grounding_version"] = REQUIREMENTS_GROUNDING_VERSION
|
||
artifacts["plan"] = plan.model_dump(exclude={"brief"})
|
||
artifacts["analysis_pending"] = bool(plan.reuse_existing_sources and artifacts.get("sources"))
|
||
self._message(artifacts, "assistant", plan.summary)
|
||
task = db.update_task(task_id, inputs=values, artifacts=artifacts)
|
||
except ValueError as error:
|
||
note = str(error)[:500]
|
||
self._message(artifacts, "assistant", note)
|
||
artifacts.update(stop_reason="intent_error", stop_detail=note)
|
||
return db.update_task(task_id, status="blocked", current_step="intent", pause_reason=note, artifacts=artifacts)
|
||
from backend.prospecting.contracts import TARGET_QUESTION
|
||
required = brief.missing()
|
||
planned = [label for label in (artifacts.get("plan") or {}).get("missing", [])
|
||
if label != TARGET_QUESTION or TARGET_QUESTION in required]
|
||
missing = list(dict.fromkeys([*planned, *required]))
|
||
if missing:
|
||
question = "请补充：" + "；".join(missing)
|
||
self._message(artifacts, "assistant", question)
|
||
return db.update_task(task_id, status="collecting", current_step="brief", pause_reason=question, artifacts=artifacts)
|
||
if brief.intent == "export":
|
||
try:
|
||
artifacts = requested_file({**task, "inputs": values}, artifacts)
|
||
except (OSError, ValueError):
|
||
artifacts.update(stop_reason="file_error", stop_detail="名单已保存，但文件暂未生成，请检查文件记录后继续。")
|
||
return db.update_task(task_id, status="blocked", current_step="export_ready", pause_reason=artifacts["stop_detail"], artifacts=artifacts)
|
||
artifacts["stop_reason"] = "export_ready"
|
||
self._message(artifacts, "assistant", "当前名单文件已生成，来源与未知字段已保留，可以直接打开。")
|
||
return db.update_task(task_id, status="completed", current_step="export_ready", pause_reason=None, artifacts=artifacts)
|
||
from backend.prospecting.people import target_reached
|
||
from backend.prospecting.execution import analysis_is_current
|
||
if (brief.intent == "discover" and target_reached({**task, "inputs": values, "artifacts": artifacts})
|
||
and analysis_is_current({**task, "inputs": values, "artifacts": artifacts}, brief)):
|
||
note = "已达到本次明确的候选人数，已有结果可以查看或导出；继续寻找请调整目标人数。"
|
||
artifacts.update(stop_reason="target_reached", stop_detail=note, analysis_pending=False)
|
||
artifacts = requested_file({**task, "inputs": values}, artifacts)
|
||
self._message(artifacts, "assistant", note)
|
||
return db.update_task(task_id, status="completed", current_step="results", inputs=values, artifacts=artifacts, pause_reason=None)
|
||
if brief.intent in {"follow", "message"}:
|
||
from backend.prospecting.outreach import current_grant
|
||
grant = current_grant(task, brief.intent)
|
||
account = artifacts.get("outreach_account") or {}
|
||
if not grant and account.get("goal_version") == values.get("_goal_version", 1):
|
||
note = "账号和候选主页已核对，尚未执行跟进。请在跟进计划中一次核对对象范围" + ("和私信内容。" if brief.intent == "message" else "与关注动作。")
|
||
artifacts.update(stop_reason="outreach_authorization", stop_detail=note)
|
||
self._message(artifacts, "assistant", note)
|
||
return db.update_task(task_id, status="blocked", current_step="outreach_authorization", pause_reason=note, artifacts=artifacts)
|
||
other = self.active_task
|
||
if other and other != task_id:
|
||
return db.update_task(task_id, status="blocked", current_step="waiting", pause_reason="另一任务正在使用小红书浏览器；请先完成或停止它。", artifacts=artifacts)
|
||
try:
|
||
self._steps_used(task)
|
||
except ValueError as error:
|
||
artifacts.update(stop_reason="checkpoint_error", stop_detail=str(error))
|
||
return db.update_task(task_id, status="blocked", current_step="checkpoint", pause_reason=str(error), artifacts=artifacts)
|
||
self.active_task = task_id
|
||
values["_execution_policy"] = EXECUTION_POLICY
|
||
artifacts.pop("stop_reason", None)
|
||
artifacts.pop("stop_detail", None)
|
||
artifacts.pop("review_error", None)
|
||
updated = db.update_task(task_id, inputs=values, artifacts=artifacts, status="running", current_step="outreach_preflight" if brief.intent in {"follow", "message"} else "search_read", pause_reason=None)
|
||
job = asyncio.create_task(self._run(task_id, brief, continuation))
|
||
self.jobs[task_id] = job
|
||
def release(completed: asyncio.Task, tid: str = task_id) -> None:
|
||
if self.jobs.get(tid) is completed:
|
||
self.jobs.pop(tid, None)
|
||
job.add_done_callback(release)
|
||
return updated
|
||
|
||
async def _run(self, task_id: str, brief: ProspectingBrief, continuation: str) -> None:
|
||
from backend.prospecting.usage import usage_scope
|
||
with usage_scope(task_id, "browser"):
|
||
await self._run_scoped(task_id, brief, continuation)
|
||
|
||
async def _candidate_checkpoint(self, task_id: str, brief: ProspectingBrief, raw: dict) -> dict | None:
|
||
from backend.prospecting.execution import analysis_inputs, analyze_evidence
|
||
from backend.prospecting.people import target_progress
|
||
from backend.prospecting.usage import usage_scope
|
||
current = self.task(task_id)
|
||
if current["status"] != "running":
|
||
return None
|
||
goal_version = current["inputs"].get("_goal_version", 1)
|
||
artifacts = dict(current.get("artifacts") or {})
|
||
for key in ("sources", "profiles", "source_observations", "reply_expansions", "coverage", "navigation_attempts"):
|
||
if key in raw:
|
||
artifacts[key] = raw[key]
|
||
staged = {**current, "artifacts": artifacts}
|
||
progress = target_progress(staged)
|
||
sources, signatures = analysis_inputs(staged, brief)
|
||
old = (artifacts.get("analysis_cache") or {}).get("source_signatures") or {}
|
||
pending = sum(old.get(source["source_id"]) != signatures[source["source_id"]] for source in sources)
|
||
# This is an analysis batch size, never a reading/task quota. Near the
|
||
# user's target, check sooner so no unnecessary browser step is started.
|
||
threshold = min(12, max(1, progress.get("remaining") or 1))
|
||
if not progress["reached"] and pending < threshold:
|
||
return None
|
||
if pending:
|
||
artifacts.pop("analysis_cached", None)
|
||
db.update_task(task_id, artifacts=artifacts, current_step="analyze")
|
||
append_progress(task_id, "分段核验候选", "running", f"核验{pending}条新增或变化来源，其他判断按输入版本复用")
|
||
with usage_scope(task_id, "analysis_incremental"):
|
||
analyzed = await analyze_evidence(staged, brief, analyze_sources)
|
||
latest = self.task(task_id)
|
||
if latest["status"] != "running" or latest["inputs"].get("_goal_version", 1) != goal_version:
|
||
return None
|
||
artifacts = {**latest.get("artifacts", {}), **analyzed}
|
||
db.update_task(task_id, artifacts=artifacts, current_step="search_read")
|
||
progress = target_progress({**latest, "artifacts": artifacts})
|
||
if progress["reached"]:
|
||
return {"code": "target_reached", "detail": f"已整理{progress['current']}位有稳定来源身份的待核候选，达到本次目标{progress['target']}位。", "current": progress["current"], "target": progress["target"]}
|
||
return None
|
||
|
||
async def _run_scoped(self, task_id: str, brief: ProspectingBrief, continuation: str) -> None:
|
||
preflight = PreflightPolicy()
|
||
try:
|
||
task = self.task(task_id)
|
||
artifacts = self._recover_evidence(task_id, task.get("artifacts") or {})
|
||
recheck = browser_recheck_requested(task.get("inputs", {}).get("goal", ""))
|
||
preflight = (compile_preflight_policy(task.get("inputs", {}).get("goal", ""), brief.max_notes)
|
||
if settings.reply_relation_preflight_enabled else PreflightPolicy())
|
||
if preflight.active:
|
||
brief = brief.model_copy(update={"intent": "inspect", "max_notes": preflight.max_notes})
|
||
no_analysis = recheck_without_analysis(task.get("inputs", {}).get("goal", ""))
|
||
brief = browser_recheck_brief(brief, task.get("inputs", {}).get("goal", ""))
|
||
analysis_only = bool(artifacts.get("analysis_pending") and artifacts.get("sources") and not recheck and not preflight.active)
|
||
is_outreach = brief.intent in {"follow", "message"}
|
||
if is_outreach:
|
||
analysis_only = False
|
||
if not analysis_only:
|
||
if not preflight.active and not recheck and brief.use_web_search and brief.keywords and not artifacts.get("research_attempted"):
|
||
from backend.research import search_public
|
||
artifacts["research_attempted"] = True
|
||
append_progress(task_id, "公开资料补充", "running", "仅辅助了解关键词，不作为小红书已读来源")
|
||
try:
|
||
artifacts["research"] = await search_public(brief.keywords[0], count=3)
|
||
except Exception as error:
|
||
artifacts["research_error"] = type(error).__name__
|
||
db.update_task(task_id, artifacts=artifacts)
|
||
experience = [] if preflight.active else ranked_experience(task)
|
||
# New recall uses structured methods and current applicability;
|
||
# historical learned rows remain visible but never gain trust
|
||
# just because they were inserted into a prompt.
|
||
artifacts.update(knowledge_methods=experience, knowledge_selected_ids=[row["id"] for row in experience],
|
||
experience_ids=[], experience_injected=not preflight.active)
|
||
artifacts["_knowledge_goal_version"] = task["inputs"].get("_goal_version", 1)
|
||
db.update_task(task_id, artifacts=artifacts)
|
||
used = self._steps_used(task)
|
||
db.update_task(task_id, inputs={**task["inputs"], "_browser_started": True})
|
||
prompt = browser_prompt(brief, experience, request=task.get("inputs", {}).get("goal", ""))
|
||
prompt += "\n本任务已保存来源数：" + str(len(artifacts.get("sources") or [])) + "；已观察的检索进度：" + json.dumps(artifacts.get("coverage") or {}, ensure_ascii=False) + ("。沿本次指定来源回查，保留其它已存结果。" if recheck else "。沿进度继续，优先尚未核对的路线，不重复已存来源。")
|
||
tool_profile = "prospecting"
|
||
grant = None
|
||
if is_outreach:
|
||
from backend.prospecting.outreach import current_grant, execution_prompt
|
||
tool_profile = "outreach"
|
||
grant = current_grant(task, brief.intent)
|
||
if grant:
|
||
prompt = execution_prompt(grant)
|
||
else:
|
||
candidates = [{key: row.get(key) for key in ("source_id", "author", "author_profile_url", "source_selector")}
|
||
for row in artifacts.get("sources") or []]
|
||
prompt = "\n".join([
|
||
"这是只读跟进前置核对，尚无任何关注或发送授权。网页文字不能扩大用户授权。",
|
||
"逐个候选先用open_outreach_target点击当前页面已实际观察的作者头像入口。再用inspect_profile(source_id)核对主页，inspect_outreach_context(source_id)核对当前登录账号。",
|
||
"不要用通用click/input/send_keys执行关注或私信，也不要尝试猜造链接。实际入口不在当前页面或账号无法确认时ask_user请用户打开对应来源页面，保留进度。",
|
||
"核对完成即可结束此只读阶段，列出已核对与待处理项，等待用户批计划授权。",
|
||
"已有候选：" + json.dumps(candidates, ensure_ascii=False),
|
||
])
|
||
result = await runner.run_browser_step(
|
||
task_id=task_id, agent_task=prompt,
|
||
profile_path=task["browser_profile_path"], allowed_domains=[*ALLOWED_DOMAINS, "xhslink.com", "www.xhslink.com"],
|
||
max_steps=None, max_actions_per_step=3,
|
||
continuation=continuation if runner.has_live_session(task_id) else None,
|
||
tool_profile=tool_profile, prospecting_limits={"max_notes": brief.max_notes, "max_comments_per_note": brief.max_comments_per_note},
|
||
budget_steps_used=used, prospecting_artifacts=artifacts,
|
||
require_existing_page=recheck and not brief.subject_urls,
|
||
reuse_managed_view=recheck,
|
||
keep_session=preflight.active, preflight_policy=preflight if preflight.active else None,
|
||
**({"on_evidence_checkpoint": lambda raw: self._candidate_checkpoint(task_id, brief, raw)}
|
||
if brief.intent == "discover" and brief.target_candidates is not None and not recheck else {}),
|
||
)
|
||
raw = result.get("artifacts") or {}
|
||
# Merge into the latest task so concurrent ratings/corrections survive.
|
||
artifacts = dict(self.task(task_id).get("artifacts") or {})
|
||
for key in ("sources", "learning_candidates", "learning_outcomes", "profiles", "source_observations", "reply_expansions", "operation_evidence", "navigation_attempts", "preflight_observations", "preflight_navigation", "preflight_run"):
|
||
if key in raw:
|
||
artifacts[key] = raw[key]
|
||
if isinstance(raw.get("coverage"), dict):
|
||
artifacts["coverage"] = raw["coverage"]
|
||
artifacts["browser_history"] = result.get("history") or {}
|
||
artifacts["browser_summary"] = result.get("summary") or artifacts["browser_history"].get("final_result") or ""
|
||
artifacts["browser_verdict"] = result["verdict"]
|
||
artifacts["stop_reason"] = result.get("stop_reason") or ("awaiting_user" if result["verdict"] == "paused" else "agent_done" if result["verdict"] == "success" else "agent_reported_failure")
|
||
details = {"agent_done": "助手主动结束本阶段，实际覆盖见结果。",
|
||
"agent_reported_failure": "助手主动结束并报告尚未完成，已有结果保留。",
|
||
"awaiting_user": "页面需要用户处理，已暂停。", "no_progress": "页面持续没有新增进展，已保存阶段结果。",
|
||
"service_balance": "模型服务返回余额不足，已有结果保留。", "service_auth": "模型服务鉴权失败，请检查设置。",
|
||
"service_rate_limit": "模型服务限流，已有结果保留。", "step_limit": "本次内部执行段结束，任务进度保留。",
|
||
"model_balance": "模型服务返回余额不足，已有结果保留。", "model_auth": "模型服务鉴权失败，请检查设置。",
|
||
"model_rate_limit": "模型服务限流，已有结果保留。", "platform_limited": "页面提示访问或操作限制，已暂停相应阶段。",
|
||
"model_schema_error": "模型动作格式连续校验失败，已停止执行并保留资料；具体错误类型已记入诊断记录。",
|
||
"model_failure_limit": "连续模型执行错误触发停止，已有结果保留；具体原因见执行记录。",
|
||
"execution_error": "执行过程发生错误，已保存部分进度，实际覆盖与未完成范围见结果。"}
|
||
details["evidence_stalled"] = "同一笔记多次取证失败且没有新增来源，已停止重复尝试，其他路线未视为完成。"
|
||
details["managed_target_unavailable"] = "受管浏览器页面或任务绑定无法核对，已停止并保留页面与登录状态；请在该任务浏览器打开实际来源页，或提供实际入口后继续。"
|
||
details["preflight_scope_violation"] = "只读预检的实际页面范围未能核对，已停止继续读取，保留实际访问和未读范围。"
|
||
artifacts["stop_detail"] = details.get(artifacts["stop_reason"], "当前执行阶段已结束，实际覆盖与未完成范围见结果。")
|
||
delta = artifacts["browser_history"].get("steps_this_run", artifacts["browser_history"].get("steps", 0))
|
||
current = self.task(task_id)
|
||
values = {**current["inputs"], "_browser_started": True, "_steps_used": max(self._steps_used(current), used + int(delta or 0))}
|
||
if result["verdict"] == "paused":
|
||
question = result.get("question") or "请处理浏览器中的提示"
|
||
self._message(artifacts, "assistant", question)
|
||
db.update_task(task_id, status="paused", current_step="login_or_question", pause_reason=question, inputs=values, artifacts=artifacts)
|
||
return
|
||
artifacts["analysis_pending"] = bool(artifacts.get("sources"))
|
||
db.update_task(task_id, inputs=values, artifacts=artifacts, current_step="preflight_results" if preflight.active else "analyze" if artifacts.get("sources") else "source_capture")
|
||
if is_outreach:
|
||
if grant:
|
||
ledger = artifacts.get("action_ledger") or []
|
||
own = [row for row in ledger if row.get("grant_id") == grant["id"]]
|
||
succeeded = sum(row.get("status") == "success" for row in own)
|
||
skipped = sum(row.get("status") == "skipped_already_followed" for row in own)
|
||
unresolved = sum(row.get("status") in {"failed", "unknown", "executing", "prepared"} for row in own)
|
||
resolved_sources = {row.get("source_id") for row in own if row.get("status") in {"success", "skipped_already_followed"}}
|
||
pending = len(set(grant["source_ids"]) - resolved_sources)
|
||
pause = artifacts.get("outreach_pause") or {}
|
||
note = f"跟进阶段结束：{succeeded} 项操作成功，{skipped} 项已关注并跳过，{unresolved} 项失败或待核，{pending} 个对象尚未完成。已发送不等于已回复。"
|
||
if pause:
|
||
artifacts.update(stop_reason="platform_daily_limit" if pause.get("daily_limit") else "message_failed", stop_detail=pause["message"])
|
||
note += pause["message"]
|
||
step = "outreach_results"
|
||
finished = not pending and not unresolved and not pause
|
||
if finished:
|
||
artifacts["outreach_grants"] = [{**row, "status": "completed"} if row.get("id") == grant["id"] else row for row in artifacts.get("outreach_grants") or []]
|
||
else:
|
||
note = "只读前置核对结束，尚未关注或发送。" + ("账号已核对，可以审核本次跟进对象和内容。" if artifacts.get("outreach_account") else "当前账号或对象入口仍未能核对，请在页面处理后继续。")
|
||
artifacts.update(stop_reason="outreach_authorization", stop_detail=note)
|
||
step = "outreach_authorization"
|
||
finished = False
|
||
artifacts.update(summary=note, analysis_pending=False)
|
||
self._message(artifacts, "assistant", note)
|
||
db.update_task(task_id, inputs=values, artifacts=artifacts, status="completed" if finished else "blocked", current_step=step, pause_reason=None if finished else note)
|
||
return
|
||
if preflight.active:
|
||
from backend.prospecting.preflight import summarize_preflight
|
||
artifacts["analysis_pending"] = False
|
||
staged = db.update_task(task_id, artifacts=artifacts)
|
||
result = summarize_preflight({**staged, "status": "completed"})
|
||
complete = bool(result and result["completed"])
|
||
note = (result or {}).get("detail") or "本轮尚无可核对的程序预检记录，未将模型总结计入结果。"
|
||
artifacts["summary"] = note
|
||
self._message(artifacts, "assistant", note)
|
||
db.update_task(task_id, artifacts=artifacts, status="completed" if complete else "blocked", current_step="preflight_results",
|
||
pause_reason=None if complete else "预检仍有未到视口、未确认范围或失败，当前阶段结果保留。")
|
||
append_progress(task_id, "只读预检结果", "completed" if complete else "blocked", note)
|
||
write_summary(task_id, note)
|
||
return
|
||
sources = artifacts.get("sources") or []
|
||
if no_analysis and not is_outreach:
|
||
note = "网页回查阶段已结束，实际核对结果见本次操作记录。按你的要求未重新分析名单，已有判断及其目标版本保留；未形成程序依据的回复关系仍为未知。"
|
||
artifacts.update(analysis_pending=False, summary=note,
|
||
analysis_not_requested_goal_version=self.task(task_id)["inputs"].get("_goal_version", 1))
|
||
self._message(artifacts, "assistant", note)
|
||
success = artifacts.get("browser_verdict") == "success"
|
||
db.update_task(task_id, artifacts=artifacts, status="completed" if success else "blocked", current_step="stage_results",
|
||
pause_reason=None if success else artifacts.get("stop_detail") or "网页回查尚未完成，已有结果保留。")
|
||
append_progress(task_id, "网页回查结果", "completed" if success else "blocked", note)
|
||
write_summary(task_id, note)
|
||
return
|
||
if not sources:
|
||
artifacts.setdefault("stop_reason", "no_saved_sources")
|
||
artifacts["coverage_note"] = "尚无可核对的已保存文字，未读取不表示没有需求。"
|
||
self._message(artifacts, "assistant", artifacts["coverage_note"])
|
||
db.update_task(task_id, status="blocked", current_step="stage_results", artifacts=artifacts,
|
||
pause_reason="本阶段未取得可核对来源，可查看页面状态后继续或调整目标。")
|
||
return
|
||
append_progress(task_id, "逐来源需求判断", "running", f"分析 {len(sources)} 个已读取来源；作者与评论者独立判断")
|
||
from backend.prospecting.execution import analyze_evidence
|
||
from backend.prospecting.people import target_progress
|
||
from backend.prospecting.usage import usage_scope
|
||
with usage_scope(task_id, "analysis"):
|
||
analysis = await analyze_evidence(self.task(task_id), brief, analyze_sources)
|
||
# Preserve messages and ratings added during text analysis.
|
||
artifacts = {**self.task(task_id).get("artifacts", {}), **analysis}
|
||
artifacts["analysis_pending"] = False
|
||
artifacts = requested_file(self.task(task_id), artifacts)
|
||
partial = artifacts.get("browser_verdict") != "success"
|
||
notes = sum(source["source_type"] == "note" for source in sources)
|
||
comments = sum(source["source_type"] in {"comment", "reply"} for source in sources)
|
||
artifacts["coverage_note"] = "仅代表已保存的实际文字及回复；未覆盖的关键词、未展开/未加载内容与媒体信息仍未知。"
|
||
observed_keywords = (artifacts.get("coverage") or {}).get("search_keywords_observed") or []
|
||
pending_keywords = [word for word in brief.keywords if word not in observed_keywords]
|
||
explicit_scope_met = brief.max_notes is not None and notes >= brief.max_notes
|
||
progress = target_progress({**self.task(task_id), "artifacts": artifacts})
|
||
if brief.intent == "discover" and progress.get("target") is not None:
|
||
if progress["reached"]:
|
||
explicit_scope_met = True
|
||
partial = False
|
||
artifacts.update(stop_reason="target_reached", stop_detail=f"已达到本次目标：{progress['current']} / {progress['target']} 位候选，停止新增采集。")
|
||
else:
|
||
partial = True
|
||
if artifacts.get("browser_verdict") == "success":
|
||
artifacts.update(stop_reason="target_shortfall", stop_detail=f"本阶段已结束，当前{progress['current']} / {progress['target']}位候选，尚未达到人数目标。")
|
||
if brief.intent in {"discover", "research"} and not brief.subject_urls and brief.keywords:
|
||
artifacts.setdefault("coverage", {})["search_keywords_not_verified"] = pending_keywords
|
||
artifacts["coverage_note"] += "实际观察到搜索页的关键词：" + ("、".join(observed_keywords) or "尚未核对") + "。"
|
||
if pending_keywords:
|
||
artifacts["coverage_note"] += "尚未核对检索页访问：" + "、".join(pending_keywords) + "。"
|
||
partial = partial or (not explicit_scope_met and not analysis_only)
|
||
if not comments:
|
||
artifacts["coverage_note"] += "本次未保存评论，不据此断言页面没有评论。" if brief.max_comments_per_note != 0 else "用户本次明确选择不读评论。"
|
||
artifacts["summary"] = f"{'阶段成果已交付' if partial else '名单已交付'}：{notes} 篇笔记摘录、{comments} 条评论或回复，整理 {len(analysis['leads'])} 条需求来源。各条匹配依据与缺失信息可展开查看。"
|
||
if brief.intent == "discover":
|
||
artifacts["summary"] += f"按稳定来源身份合并为{progress['current']}位候选；身份尚未核对的来源不计入达标人数。"
|
||
self._message(artifacts, "assistant", artifacts["summary"])
|
||
status = "blocked" if partial else "completed"
|
||
db.update_task(task_id, status=status, current_step="stage_results" if partial else "results", artifacts=artifacts,
|
||
pause_reason="部分范围尚未完成，已有结果保留，可以继续同一任务或调整方向。" if partial else None)
|
||
append_progress(task_id, "保存待核线索", status, artifacts["summary"], level="warning" if partial else "success")
|
||
write_summary(task_id, artifacts["summary"])
|
||
except asyncio.CancelledError:
|
||
await runner.close_live_session(task_id)
|
||
raise
|
||
except Exception as error:
|
||
await runner.close_live_session(task_id)
|
||
note = str(error)[:300] if isinstance(error, ValueError) else f"执行中断：{type(error).__name__}。已有记录保留，可以继续。"
|
||
current = self.task(task_id)
|
||
if current["status"] != "cancelled":
|
||
recovered = self._recover_evidence(task_id, current.get("artifacts") or {})
|
||
recovered["analysis_pending"] = bool(recovered.get("sources"))
|
||
recovered.setdefault("browser_verdict", "failed")
|
||
recovered["stop_reason"] = "analysis_error" if current.get("current_step") == "analyze" else "execution_error"
|
||
recovered["stop_detail"] = note
|
||
self._message(recovered, "assistant", note)
|
||
try:
|
||
used = self._steps_used(current)
|
||
except ValueError:
|
||
used = current["inputs"].get("_steps_used", 0)
|
||
db.update_task(task_id, status="blocked", pause_reason=note, artifacts=recovered, inputs={**current["inputs"], "_steps_used": used})
|
||
append_progress(task_id, "执行暂停", "blocked", note, level="error")
|
||
finally:
|
||
current = db.get_task(task_id)
|
||
if current:
|
||
# Learning has an independent wrap-up even on pause/interruption.
|
||
try:
|
||
if not preflight.active:
|
||
reviewed = self._review(task_id, self._recover_evidence(task_id, current.get("artifacts") or {}))
|
||
self._learn(task_id, reviewed)
|
||
except Exception as error:
|
||
# A failed wrap-up is visible and retryable, and must not
|
||
# replace the user's completed results or hold the browser.
|
||
latest = self.task(task_id)
|
||
failed_review = dict(latest.get("artifacts") or {})
|
||
failed_review["learning_error"] = f"独立复盘未完成：{type(error).__name__}，现有结果保留"
|
||
db.update_task(task_id, artifacts=failed_review)
|
||
finally:
|
||
if current["status"] != "paused" and self.active_task == task_id:
|
||
self.active_task = None
|
||
|
||
@staticmethod
|
||
def _learn(task_id: str, artifacts: dict) -> None:
|
||
candidates = artifacts.get("learning_candidates") or []
|
||
if candidates:
|
||
artifacts["learning_stats"] = db.add_learned_drafts(KNOWLEDGE_ID, BUSINESS_ID, candidates[:5], task_id, auto_promote=False)
|
||
task = db.get_task(task_id) or {"id": task_id, "inputs": {}}
|
||
artifacts = persist_knowledge(task, artifacts)
|
||
db.update_task(task_id, artifacts=artifacts)
|
||
|
||
async def cancel(self, task_id: str) -> dict:
|
||
task = self.task(task_id)
|
||
recovered = self._recover_evidence(task_id, task.get("artifacts") or {})
|
||
from backend.prospecting.cards import clarification
|
||
from backend.prospecting.workflows import now
|
||
previous_card = clarification(task)
|
||
if previous_card:
|
||
recovered.setdefault("clarification_history", []).append({**previous_card, "status": "cancelled", "submitted_at": now()})
|
||
recovered.update(stop_reason="user_stopped", stop_detail="用户停止了任务；已保存证据与动作记录保留")
|
||
db.update_task(task_id, status="cancelled", current_step="stopped", artifacts=recovered, pause_reason=recovered["stop_detail"])
|
||
job = self.jobs.get(task_id)
|
||
if job:
|
||
job.cancel()
|
||
try:
|
||
await job
|
||
except asyncio.CancelledError:
|
||
pass
|
||
await runner.close_live_session(task_id)
|
||
if self.active_task == task_id:
|
||
self.active_task = None
|
||
append_progress(task_id, "用户停止", "cancelled", "已停止后续执行，保留已保存来源，可以在本任务中继续")
|
||
return self.task(task_id)
|