Files
deep_research/scripts/runtime/workers.py
T

262 lines
10 KiB
Python

"""Python role workers for task-card execution."""
from __future__ import annotations
import json
import re
from concurrent.futures import ThreadPoolExecutor, as_completed
from pathlib import Path
from typing import Callable, Protocol, Any
from scripts.runtime.roles import RoleDefinition, RuntimeProfile
from scripts.runtime.skills import SkillRegistry
from scripts.runtime.tasks import TaskCard, validate_packet
from scripts.runtime.sources import append_packet_sources
class ChatClient(Protocol):
def chat_complete(self, **kwargs) -> str:
...
class SearchProvider(Protocol):
def search(self, *, query: str, route: str, num_results: int) -> list[dict[str, Any]]:
...
class ProjectSearchProvider:
"""Thin adapter over the project-owned search client."""
def __init__(self, *, strict_specialized: bool = True) -> None:
from scripts.lib.search_client import SearchClient
self.client = SearchClient(strict_specialized=strict_specialized)
def search(self, *, query: str, route: str, num_results: int) -> list[dict[str, Any]]:
if route == "scholar":
hits = self.client.scholar(query, num_results=num_results, year_low=2020)
elif route == "patents":
hits = self.client.patents(query, num_results=num_results)
elif route == "news":
hits = self.client.news(query, num_results=num_results, time_range="y")
else:
hits = self.client.search(query, num_results=num_results)
return [
{
"title": hit.title,
"url": hit.url,
"snippet": hit.snippet,
"route": route,
}
for hit in hits
]
def close(self) -> None:
self.client.close()
def _extract_json_object(text: str) -> dict:
stripped = text.strip()
if stripped.startswith("```"):
stripped = stripped.strip("`")
if stripped.startswith("json"):
stripped = stripped[4:].strip()
start = stripped.find("{")
end = stripped.rfind("}")
if start == -1 or end == -1 or end < start:
raise ValueError("worker response does not contain a JSON object")
return json.loads(stripped[start : end + 1])
def _safe_source_stem(task_id: str) -> str:
return re.sub(r"[^a-zA-Z0-9]+", "_", task_id).strip("_").lower()
def build_search_context(
card: TaskCard,
search_provider: SearchProvider,
*,
num_results_per_route: int = 5,
) -> dict[str, Any]:
candidate_sources: list[dict[str, Any]] = []
routes_used: list[str] = []
source_stem = _safe_source_stem(card.task_id)
idx = 1
query = " ".join(card.questions)
for route in card.search_routes:
routes_used.append(route)
hits = search_provider.search(query=query, route=route, num_results=num_results_per_route)
for hit in hits:
candidate_sources.append(
{
"id": f"src_{source_stem}_{idx:03d}",
"title": hit.get("title", ""),
"url": hit.get("url", ""),
"snippet": hit.get("snippet", ""),
"route": hit.get("route", route),
"tier": "Tier 2",
"score": 6,
}
)
idx += 1
return {"routes_used": routes_used, "candidate_sources": candidate_sources}
def build_packet_user_prompt(card: TaskCard, search_context: dict[str, Any] | None = None) -> str:
context = search_context or {"routes_used": [], "candidate_sources": []}
return (
"请根据以下 task card 产出一个证据包 JSON。\n"
"正式结论、summary、open_questions 用中文;英文原文摘录、source title、DOI/URL 可以保留英文。\n"
"必须主动包含 counter_evidence,且所有引用的 source_id 必须出现在 source_ids 中。\n\n"
"只能使用 candidate_sources 中的来源,不得编造 URL、DOI、trial ID 或 source_id。\n"
"输出 JSON 必须包含 sources 字段,且 sources 只能来自 candidate_sources。\n\n"
f"{json.dumps(card.to_dict(), ensure_ascii=False, indent=2)}\n\n"
f"Search context:\n{json.dumps(context, ensure_ascii=False, indent=2)}\n\n"
"只输出 JSON,不要输出 Markdown 解释。"
)
def build_packet_repair_prompt(
*,
card: TaskCard,
raw_response: str,
error: Exception,
search_context: dict[str, Any] | None = None,
) -> str:
context = search_context or {"routes_used": [], "candidate_sources": []}
return (
"请修复上一次 evidence packet 输出,使其成为合法且通过 schema 校验的 JSON。\n"
"只输出 JSON 对象,不要输出 Markdown、解释或代码块。\n"
"保留中文主写作;英文只允许出现在来源标题、URL、DOI、原文摘录或检索笔记中。\n"
"不得编造 candidate_sources 以外的来源、URL、DOI、trial ID 或 source_id。\n\n"
f"Schema error:\n{error}\n\n"
f"Task card:\n{json.dumps(card.to_dict(), ensure_ascii=False, indent=2)}\n\n"
f"Search context:\n{json.dumps(context, ensure_ascii=False, indent=2)}\n\n"
f"Previous raw response:\n{raw_response[:12000]}"
)
class PacketWorker:
def __init__(
self,
*,
role: RoleDefinition,
client: ChatClient,
search_provider: SearchProvider | None = None,
skill_registry: SkillRegistry | None = None,
num_results_per_route: int = 5,
) -> None:
self.role = role
self.client = client
self.search_provider = search_provider
self.skill_registry = skill_registry or SkillRegistry()
self.num_results_per_route = num_results_per_route
def _system_prompt(self) -> str:
skill_texts = []
for name in self.role.skills:
try:
skill_texts.append(f"# Skill: {name}\n\n{self.skill_registry.read(name)}")
except FileNotFoundError:
skill_texts.append(f"# Skill: {name}\n\n[missing skill: {name}]")
return (
"你是 Deep Research v0.20 Python runtime 的证据包 worker。\n"
"你的唯一任务是把一个 task card 转换为结构化 evidence packet。\n"
"遵循中文主写作原则;不要写章节正文;不要编造 URL、DOI、trial ID 或 source_id。\n\n"
"搜索只能走项目 Python search gateway 或调用方提供的 search_context;不要直接使用 Tavily MCP、browser MCP、平台 web search 或任何需要用户权限确认的外部搜索工具。\n\n"
+ "\n\n".join(skill_texts)
)
def run(self, card: TaskCard) -> dict:
search_context = None
if self.search_provider:
search_context = build_search_context(
card,
self.search_provider,
num_results_per_route=self.num_results_per_route,
)
raw = self.client.chat_complete(
model=self.role.model,
system=self._system_prompt(),
user=build_packet_user_prompt(card, search_context),
temperature=self.role.temperature,
max_tokens=self.role.max_tokens,
tag=f"packet:{card.task_id}",
)
try:
packet = _extract_json_object(raw)
validate_packet(packet)
return packet
except Exception as error:
repaired = self.client.chat_complete(
model=self.role.model,
system=self._system_prompt(),
user=build_packet_repair_prompt(
card=card,
raw_response=raw,
error=error,
search_context=search_context,
),
temperature=0,
max_tokens=self.role.max_tokens,
tag=f"packet-repair:{card.task_id}",
)
packet = _extract_json_object(repaired)
validate_packet(packet)
return packet
def _write_packet_error(project_root: Path, card: TaskCard, error: Exception) -> None:
path = project_root / "phase2" / "packet_errors" / f"{card.task_id}.json"
path.parent.mkdir(parents=True, exist_ok=True)
payload = {
"task_id": card.task_id,
"status": "failed",
"error": str(error),
"output_packet": card.output_packet,
}
path.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
def run_packet_workers(
*,
project_root: Path,
cards: list[TaskCard],
runtime: RuntimeProfile,
client_factory: Callable[[RoleDefinition], ChatClient],
search_provider_factory: Callable[[], SearchProvider] | None = None,
workers: int,
) -> int:
role = runtime.role_for_task("evidence_packet")
max_workers = max(1, min(workers, role.max_concurrency))
def run_one(card: TaskCard) -> tuple[TaskCard, dict | None, Exception | None]:
search_provider = search_provider_factory() if search_provider_factory else None
try:
worker = PacketWorker(role=role, client=client_factory(role), search_provider=search_provider)
return card, worker.run(card), None
except Exception as error:
return card, None, error
finally:
close = getattr(search_provider, "close", None)
if close:
close()
written = 0
with ThreadPoolExecutor(max_workers=max_workers) as pool:
futures = [pool.submit(run_one, card) for card in cards]
for future in as_completed(futures):
card, packet, error = future.result()
if error is not None:
_write_packet_error(project_root, card, error)
continue
if packet is None:
_write_packet_error(project_root, card, RuntimeError("packet worker returned no packet"))
continue
path = project_root / card.output_packet
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(packet, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
append_packet_sources(project_root / "phase2" / "sources.jsonl", packet)
written += 1
return written