Glevel
7804122b7e
- Add solve_task.py: fast direct solver (1 LLM call per task, no deepagents overhead) - Add RetryOnRateLimitMiddleware: auto-retry on 429 from any tool - Fix double MCP load: __init__.py cleared, pipeline reuses agent.py journal tools - Fix proxy: add NO_PROXY for openrouter.ai, platform.brojs.ru, git.brojs.ru - Add utility scripts: get_task_ids.py, read_tasks.py - Update run_pipeline.py: TARGET_IDS support, unbuffered output Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
33 lines
1.3 KiB
Python
33 lines
1.3 KiB
Python
import asyncio, json, os
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# Обходим локальный прокси для всех наших сервисов (иначе SSL-ошибка)
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os.environ["NO_PROXY"] = "openrouter.ai,platform.brojs.ru,git.brojs.ru," + os.environ.get("NO_PROXY", "")
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from dotenv import load_dotenv
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load_dotenv()
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from src.agent.mcp_client import load_journal_toolsets, JOURNAL_PREFIX
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from src.agent.constants import COURSE_ID
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async def main():
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j = load_journal_toolsets()
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tool = next((t for t in j.tasks_submissions_tools if t.name == f"{JOURNAL_PREFIX}tasks_list"), None)
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if not tool:
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print("tasks_list not found")
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return
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raw = await tool.ainvoke({"courseId": COURSE_ID})
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if isinstance(raw, list):
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for item in raw:
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if isinstance(item, dict) and item.get("type") == "text":
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raw = item.get("text", "")
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break
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data = json.loads(raw) if isinstance(raw, str) else raw
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items = data.get("tasks", data) if isinstance(data, dict) else data
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for item in items:
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t = item.get("task", item) if isinstance(item, dict) else {}
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tid = t.get("id", "")
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status = item.get("status", "")
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title = t.get("title", "")
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print(f" {tid[:8]} {status:25} {title}")
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asyncio.run(main())
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