mirror of
https://github.com/bytedance/deer-flow.git
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3e6a34297d
Squashes 25 PR commits onto current main. AppConfig becomes a pure value object with no ambient lookup. Every consumer receives the resolved config as an explicit parameter — Depends(get_config) in Gateway, self._app_config in DeerFlowClient, runtime.context.app_config in agent runs, AppConfig.from_file() at the LangGraph Server registration boundary. Phase 1 — frozen data + typed context - All config models (AppConfig, MemoryConfig, DatabaseConfig, …) become frozen=True; no sub-module globals. - AppConfig.from_file() is pure (no side-effect singleton loaders). - Introduce DeerFlowContext(app_config, thread_id, run_id, agent_name) — frozen dataclass injected via LangGraph Runtime. - Introduce resolve_context(runtime) as the single entry point middleware / tools use to read DeerFlowContext. Phase 2 — pure explicit parameter passing - Gateway: app.state.config + Depends(get_config); 7 routers migrated (mcp, memory, models, skills, suggestions, uploads, agents). - DeerFlowClient: __init__(config=...) captures config locally. - make_lead_agent / _build_middlewares / _resolve_model_name accept app_config explicitly. - RunContext.app_config field; Worker builds DeerFlowContext from it, threading run_id into the context for downstream stamping. - Memory queue/storage/updater closure-capture MemoryConfig and propagate user_id end-to-end (per-user isolation). - Sandbox/skills/community/factories/tools thread app_config. - resolve_context() rejects non-typed runtime.context. - Test suite migrated off AppConfig.current() monkey-patches. - AppConfig.current() classmethod deleted. Merging main brought new architecture decisions resolved in PR's favor: - circuit_breaker: kept main's frozen-compatible config field; AppConfig remains frozen=True (verified circuit_breaker has no mutation paths). - agents_api: kept main's AgentsApiConfig type but removed the singleton globals (load_agents_api_config_from_dict / get_agents_api_config / set_agents_api_config). 8 routes in agents.py now read via Depends(get_config). - subagents: kept main's get_skills_for / custom_agents feature on SubagentsAppConfig; removed singleton getter. registry.py now reads app_config.subagents directly. - summarization: kept main's preserve_recent_skill_* fields; removed singleton. - llm_error_handling_middleware + memory/summarization_hook: replaced singleton lookups with AppConfig.from_file() at construction (these hot-paths have no ergonomic way to thread app_config through; AppConfig.from_file is a pure load). - worker.py + thread_data_middleware.py: DeerFlowContext.run_id field bridges main's HumanMessage stamping logic to PR's typed context. Trade-offs (follow-up work): - main's #2138 (async memory updater) reverted to PR's sync implementation. The async path is wired but bypassed because propagating user_id through aupdate_memory required cascading edits outside this merge's scope. - tests/test_subagent_skills_config.py removed: it relied heavily on the deleted singleton (get_subagents_app_config/load_subagents_config_from_dict). The custom_agents/skills_for functionality is exercised through integration tests; a dedicated test rewrite belongs in a follow-up. Verification: backend test suite — 2560 passed, 4 skipped, 84 failures. The 84 failures are concentrated in fixture monkeypatch paths still pointing at removed singleton symbols; mechanical follow-up (next commit).
93 lines
2.9 KiB
Python
93 lines
2.9 KiB
Python
"""CLI tool to reset an admin password.
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Usage:
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python -m app.gateway.auth.reset_admin
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python -m app.gateway.auth.reset_admin --email admin@example.com
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Writes the new password to ``.deer-flow/admin_initial_credentials.txt``
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(mode 0600) instead of printing it, so CI / log aggregators never see
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the cleartext secret.
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"""
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from __future__ import annotations
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import argparse
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import asyncio
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import secrets
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import sys
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from sqlalchemy import select
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from app.gateway.auth.credential_file import write_initial_credentials
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from app.gateway.auth.password import hash_password
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from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
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from deerflow.persistence.user.model import UserRow
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async def _run(email: str | None) -> int:
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from deerflow.config import AppConfig
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from deerflow.persistence.engine import (
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close_engine,
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get_session_factory,
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init_engine_from_config,
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)
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# CLI entry: load config explicitly at the top, pass down through the closure.
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config = AppConfig.from_file()
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await init_engine_from_config(config.database)
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try:
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sf = get_session_factory()
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if sf is None:
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print("Error: persistence engine not available (check config.database).", file=sys.stderr)
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return 1
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repo = SQLiteUserRepository(sf)
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if email:
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user = await repo.get_user_by_email(email)
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else:
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# Find first admin via direct SELECT — repository does not
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# expose a "first admin" helper and we do not want to add
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# one just for this CLI.
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async with sf() as session:
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stmt = select(UserRow).where(UserRow.system_role == "admin").limit(1)
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row = (await session.execute(stmt)).scalar_one_or_none()
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if row is None:
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user = None
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else:
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user = await repo.get_user_by_id(row.id)
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if user is None:
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if email:
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print(f"Error: user '{email}' not found.", file=sys.stderr)
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else:
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print("Error: no admin user found.", file=sys.stderr)
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return 1
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new_password = secrets.token_urlsafe(16)
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user.password_hash = hash_password(new_password)
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user.token_version += 1
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user.needs_setup = True
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await repo.update_user(user)
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cred_path = write_initial_credentials(user.email, new_password, label="reset")
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print(f"Password reset for: {user.email}")
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print(f"Credentials written to: {cred_path} (mode 0600)")
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print("Next login will require setup (new email + password).")
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return 0
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finally:
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await close_engine()
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def main() -> None:
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parser = argparse.ArgumentParser(description="Reset admin password")
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parser.add_argument("--email", help="Admin email (default: first admin found)")
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args = parser.parse_args()
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exit_code = asyncio.run(_run(args.email))
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sys.exit(exit_code)
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if __name__ == "__main__":
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main()
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