266 lines
9.2 KiB
Python
266 lines
9.2 KiB
Python
from __future__ import annotations
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from .shared import *
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from .charter_seed_utils import _localize_seed_to_zh, _needs_seed_localize_zh, _parse_json_object_text, _to_bullet_text
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def _has_non_empty_module_data(content: dict[str, Any]) -> bool:
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modules = content.get("modules")
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if not isinstance(modules, dict):
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return False
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for module in modules.values():
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if not isinstance(module, dict):
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continue
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for value in module.values():
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if str(value or "").strip():
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return True
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return False
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def _has_complete_module_data(content: dict[str, Any]) -> bool:
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modules = content.get("modules")
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if not isinstance(modules, dict):
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return False
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for module_key, required_fields in _CHARTER_REQUIRED_FIELDS.items():
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module_payload = modules.get(module_key)
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if not isinstance(module_payload, dict):
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return False
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for field_key in required_fields:
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if not str(module_payload.get(field_key) or "").strip():
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return False
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return True
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def _merge_prefill_content(
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existing: dict[str, Any], incoming: dict[str, Any], *, overwrite_existing: bool
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) -> dict[str, Any]:
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merged: dict[str, Any] = dict(existing)
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for key, value in incoming.items():
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if overwrite_existing or key not in merged:
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merged[key] = value
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continue
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current = merged.get(key)
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if isinstance(current, dict) and isinstance(value, dict):
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merged[key] = _merge_prefill_content(
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current, value, overwrite_existing=overwrite_existing
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)
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continue
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if isinstance(current, list):
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if not current and value:
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merged[key] = value
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continue
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if current is None or not str(current).strip():
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merged[key] = value
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return merged
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def _default_ai_validations(module_name: str) -> str:
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return _to_bullet_text(
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[
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f"校验「{module_name}」与信号源证据链一致",
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"校验字段可验证、可执行、可追踪",
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"发现冲突时自动标注并等待人工否决/确认",
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]
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)
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def _default_escalation_trigger() -> str:
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return _to_bullet_text(
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[
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"置信度低于 0.75",
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"关键字段缺失或来源证据冲突",
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"超过模型能力边界或预算/时限约束",
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]
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)
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async def _load_charter_project_context(
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*,
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db: AsyncSession,
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tenant_id: int,
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project_id: int,
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) -> dict[str, Any]:
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from ...models import Project
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row = (
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await db.execute(
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select(Project).where(
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and_(
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Project.tenant_id == int(tenant_id),
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Project.id == int(project_id),
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)
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)
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)
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).scalar_one_or_none()
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if row is None:
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return {}
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return {
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"id": int(row.id),
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"name": str(getattr(row, "name", "") or "").strip(),
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"title": str(getattr(row, "title", "") or getattr(row, "name", "") or "").strip(),
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"description": str(getattr(row, "description", "") or "").strip(),
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"status": str(getattr(row, "status", "") or "").strip(),
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"owner_id": getattr(row, "owner_id", None),
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}
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async def _load_active_projects_context(
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*,
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db: AsyncSession,
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tenant_id: int,
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project_id: int,
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limit: int = 10,
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) -> list[dict[str, Any]]:
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from ...models import Project
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rows = (
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await db.execute(
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select(
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Project.id,
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Project.name,
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Project.title,
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Project.description,
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Project.status,
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Project.owner_id,
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)
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.where(
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and_(
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Project.tenant_id == int(tenant_id),
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Project.status != "inactive",
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Project.id != int(project_id),
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)
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)
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.order_by(Project.id.desc())
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.limit(max(1, min(20, int(limit))))
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)
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).all()
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active_projects: list[dict[str, Any]] = []
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for row in rows:
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active_projects.append(
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{
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"id": int(row.id),
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"name": str(row.name or "").strip(),
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"title": str(row.title or row.name or "").strip(),
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"description": str(row.description or "").strip(),
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"status": str(row.status or "").strip(),
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"owner_id": getattr(row, "owner_id", None),
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}
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)
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return active_projects
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def _build_charter_project_context_text(
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project_context: dict[str, Any],
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active_projects: list[dict[str, Any]],
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) -> str:
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blocks: list[str] = []
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if isinstance(project_context, dict) and project_context:
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blocks.append(
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"\n".join(
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[
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"[当前项目]",
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f"ID：{project_context.get('id')}",
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f"名称：{project_context.get('title') or project_context.get('name') or '未命名项目'}",
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f"描述：{str(project_context.get('description') or '暂无描述').strip()}",
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f"状态：{project_context.get('status') or 'unknown'}",
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f"负责人ID：{project_context.get('owner_id') or '未指定'}",
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]
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).strip()
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)
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if active_projects:
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lines = ["[活跃项目（用于查重/复用）]"]
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for idx, project in enumerate(active_projects[:10], start=1):
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title = str(project.get("title") or project.get("name") or "未命名项目").strip()
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description = str(project.get("description") or "").strip()
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status = str(project.get("status") or "").strip() or "unknown"
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owner_id = project.get("owner_id")
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row_parts = [f"{idx}. {title}", f"状态：{status}"]
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if description:
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row_parts.append(f"描述：{description[:80]}")
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if owner_id is not None:
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row_parts.append(f"负责人ID：{owner_id}")
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lines.append(" | ".join(row_parts))
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blocks.append("\n".join(lines))
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return "\n\n".join(blocks).strip()
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async def _generate_charter_seed(
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*,
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db: AsyncSession,
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tenant_id: int,
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project_id: int,
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signal_context: str,
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) -> dict[str, Any]:
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if not signal_context.strip():
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return {}
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project_context = await _load_charter_project_context(
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db=db,
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tenant_id=tenant_id,
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project_id=project_id,
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)
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active_projects = await _load_active_projects_context(
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db=db,
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tenant_id=tenant_id,
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project_id=project_id,
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)
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project_context_text = _build_charter_project_context_text(
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project_context=project_context,
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active_projects=active_projects,
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)
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active_projects_json = json.dumps(active_projects, ensure_ascii=False)
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prompt = (
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"你是 AI 项目经理，请基于输入信号生成可落地的宪章草稿。"
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"所有自然语言字段必须使用简体中文，禁止英文句子；模型名称或技术名词可保留英文。"
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"必须先结合当前项目上下文与活跃项目列表判断是否重复建设或应当合并。"
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"只输出 JSON，不要 markdown。\n"
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"字段：\n"
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"{\n"
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' "summary": "一句话问题摘要",\n'
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' "background": "背景与动机",\n'
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' "objectives": ["目标1","目标2"],\n'
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' "scope": "范围说明",\n'
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' "in_scope": ["范围内事项1","范围内事项2"],\n'
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' "out_of_scope": ["范围外事项1","范围外事项2"],\n'
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' "success_metrics": ["指标1","指标2"],\n'
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' "risks": ["风险1","风险2"],\n'
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' "dependencies": ["依赖1","依赖2"],\n'
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' "primary_model": "模型名",\n'
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' "fallback_model": "备用模型名"\n'
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"}\n\n"
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f"当前项目上下文：\n{project_context_text or '无'}\n\n"
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f"现有活跃项目（JSON）：\n{active_projects_json or '[]'}\n\n"
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f"信号输入：\n{signal_context[:6000]}"
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)
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try:
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raw = await llm_service.generate(
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prompt,
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function_name="sstc_charter_prefill",
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db=db,
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tenant_id=tenant_id,
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project_id=project_id,
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)
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parsed = _parse_json_object_text(raw)
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if parsed:
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if _needs_seed_localize_zh(parsed):
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return await _localize_seed_to_zh(
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db=db, tenant_id=tenant_id, project_id=project_id, seed=parsed
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)
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return parsed
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except Exception:
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pass
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try:
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ai_seed = await AIService().generate_charter_from_signal(
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signal_context,
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tenant_id=tenant_id,
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db=db,
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project_id=project_id,
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project_context=project_context_text,
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active_projects_json=active_projects_json,
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)
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if isinstance(ai_seed, dict):
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if _needs_seed_localize_zh(ai_seed):
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return await _localize_seed_to_zh(
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db=db, tenant_id=tenant_id, project_id=project_id, seed=ai_seed
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)
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return ai_seed
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return {}
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except Exception:
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return {}
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