mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-06-13 19:06:01 +00:00
aa015462a7
* Add user-owned IM channel connections * Fix dev startup and channel connect popup * Use async channel connect flow * Harden dev service daemon startup * Support local IM channel connections * Align IM connections with local channels * Fix safe user id digest algorithm * Address Copilot IM channel feedback * Address IM channel review comments * Support all integrated IM channel connections * Format additional channel connection tests * Keep unavailable channel connect buttons clickable * Fix IM channel provider icons * Add runtime setup for enabled IM channels * Guard global shortcut key handling * Keep configured IM channels editable * Avoid password autofill for channel secrets * Make channel threads visible to connection owners * Persist IM runtime config locally * Allow disconnecting runtime IM channels * Route no-auth channel sessions to local user * Use default user for auth-disabled local mode * Show IM channel source on threads * Prefill IM channel runtime config * Reflect IM channel runtime health * Ignore Feishu message read events * Ignore Feishu non-content message events * Let setup wizard enable IM channels * Fix frontend formatting after merge * Stabilize backend tests without local config * Isolate channel runtime config tests * Address channel connection review comments * Use sha256 user buckets with legacy migration * Ensure runtime IM channels are ready after restart * Persist disconnected IM channel state * Address channel connection review comments * Address channel connection review findings Frontend connect flow: - Open the runtime-config dialog only when a provider still needs credentials; configured providers go straight to the connect flow, so the binding-code/deep-link path is reachable from the UI again. - After saving credentials, continue into the connect flow when a user binding is still required (multi-user mode) instead of stopping at a "Connected" toast. - Extract shared provider-state helpers to core/channels/provider-state and add unit + e2e coverage for the direct-connect and configure-then-connect paths. Provider status semantics: - Report connection_status from the user's newest connection row; with no binding it is not_connected, except in auth-disabled local mode where a configured running channel is effectively connected. Concurrency and event-loop correctness: - Offload ChannelRuntimeConfigStore construction and writes, channel service construction, and Slack connection replies to threads; add a tests/blocking_io/ anchor for the runtime-config handlers. - Consume binding codes with a conditional UPDATE so a code can only be used once under concurrent workers; retry upsert_connection as an update when a concurrent insert wins the unique constraint. - Serialize ensure_channel_ready per channel so concurrent provider polls cannot double-start a channel worker. Config and migration hardening: - Stop mutating the get_app_config()-cached Telegram provider config; the runtime store now owns the UI-entered bot username. - Register channel_connections in STARTUP_ONLY_FIELDS with the standardized startup-only Field description. - Match the legacy unsafe-id bucket by recomputing its exact SHA-1 name so another user's same-prefix bucket can never be migrated. - Remove the unused Telegram process_webhook_update path and document src/core/channels in the frontend docs. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * Address PR review comments on authz scoping and channel runtime Security (review feedback from ShenAC-SAC): - Scope internal-token callers to the connection owner carried in X-DeerFlow-Owner-User-Id instead of bypassing owner checks outright, in both require_permission(owner_check=True) and the stateless run endpoints. Internal callers keep access to their own and shared/legacy threads, and may claim a default-owned channel thread for its real owner, but a leaked internal token no longer grants cross-user thread access. - Require admin privileges for POST/DELETE /api/channels/{provider}/ runtime-config: runtime credentials and channel workers are instance-wide shared state (same model as the MCP config API). Read-only provider listing stays available to all users. Performance (review feedback from willem-bd): - Skip the redundant thread channel-metadata PATCH after the first successful backfill per thread. - Reuse the per-connection Slack WebClient until its token changes instead of constructing one per outbound message. - Reconcile channel readiness for all providers concurrently in GET /api/channels/providers. Also resolve the code-quality unused-import flag in the blocking-io anchor by pre-importing the channel service via importlib. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * Fix prettier formatting in provider-state test Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * Reconcile UI runtime channel config with config reload on restart Main now reloads a channel's config.yaml entry on restart_channel() (#3514, issue #3497). Adapt the user-owned connection flow to coexist: - configure_channel() restarts with reload_config=False — the caller just supplied the authoritative config (browser-entered credentials that are never written to config.yaml), so a file reload must not clobber it with the stale on-disk entry. - _load_channel_config() re-applies the UI runtime-store overlay used at startup, so an operator-triggered restart keeps browser-entered credentials for channels without a config.yaml entry and does not resurrect a channel disconnected from the UI. - Offload the reload's disk IO (config.yaml + runtime store) with asyncio.to_thread, matching the blocking-IO policy on this branch. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
175 lines
6.6 KiB
Python
175 lines
6.6 KiB
Python
#!/usr/bin/env python3
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"""DeerFlow Interactive Setup Wizard.
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Usage:
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uv run python scripts/setup_wizard.py
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"""
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from __future__ import annotations
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import sys
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from pathlib import Path
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# Make the scripts/ directory importable so wizard.* works
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sys.path.insert(0, str(Path(__file__).resolve().parent))
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def _is_interactive() -> bool:
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return sys.stdin.isatty() and sys.stdout.isatty()
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def main() -> int:
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try:
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if not _is_interactive():
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print(
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"Non-interactive environment detected.\n"
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"Please edit config.yaml and .env directly, or run 'make setup' in a terminal."
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)
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return 1
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from wizard.ui import (
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ask_yes_no,
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bold,
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cyan,
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green,
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print_header,
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print_info,
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print_success,
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yellow,
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)
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from wizard.writer import write_config_yaml, write_env_file
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project_root = Path(__file__).resolve().parents[1]
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config_path = project_root / "config.yaml"
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env_path = project_root / ".env"
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print()
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print(bold("Welcome to DeerFlow Setup!"))
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print("This wizard will help you configure DeerFlow in a few minutes.")
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print()
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if config_path.exists():
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print(yellow("Existing configuration detected."))
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print()
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should_reconfigure = ask_yes_no("Do you want to reconfigure?", default=False)
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if not should_reconfigure:
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print()
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print_info("Keeping existing config. Run 'make doctor' to verify your setup.")
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return 0
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print()
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total_steps = 5
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from wizard.steps.llm import run_llm_step
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llm = run_llm_step(f"Step 1/{total_steps}")
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from wizard.steps.search import run_search_step
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search = run_search_step(f"Step 2/{total_steps}")
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search_provider = search.search_provider
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search_api_key = search.search_api_key
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fetch_provider = search.fetch_provider
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fetch_api_key = search.fetch_api_key
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from wizard.steps.execution import run_execution_step
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execution = run_execution_step(f"Step 3/{total_steps}")
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from wizard.steps.channels import run_channels_step
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channels = run_channels_step(f"Step 4/{total_steps}")
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print_header(f"Step {total_steps}/{total_steps} · Writing configuration")
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write_config_yaml(
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config_path,
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provider_use=llm.provider.use,
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model_name=llm.model_name,
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display_name=f"{llm.provider.display_name} / {llm.model_name}",
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api_key_field=llm.provider.api_key_field,
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env_var=llm.provider.env_var,
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extra_model_config=llm.provider.extra_config_for(llm.model_name) or None,
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base_url=llm.base_url,
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search_use=search_provider.use if search_provider else None,
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search_tool_name=search_provider.tool_name if search_provider else "web_search",
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search_extra_config=search_provider.extra_config if search_provider else None,
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web_fetch_use=fetch_provider.use if fetch_provider else None,
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web_fetch_tool_name=fetch_provider.tool_name if fetch_provider else "web_fetch",
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web_fetch_extra_config=fetch_provider.extra_config if fetch_provider else None,
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sandbox_use=execution.sandbox_use,
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allow_host_bash=execution.allow_host_bash,
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include_bash_tool=execution.include_bash_tool,
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include_write_tools=execution.include_write_tools,
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channel_connection_providers=channels.enabled_providers,
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)
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print_success(f"Config written to: {config_path.relative_to(project_root)}")
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if not env_path.exists():
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env_example = project_root / ".env.example"
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if env_example.exists():
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import shutil
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shutil.copyfile(env_example, env_path)
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env_pairs: dict[str, str] = {}
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if llm.api_key:
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env_pairs[llm.provider.env_var] = llm.api_key
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if search_api_key and search_provider and search_provider.env_var:
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env_pairs[search_provider.env_var] = search_api_key
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if fetch_api_key and fetch_provider and fetch_provider.env_var:
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env_pairs[fetch_provider.env_var] = fetch_api_key
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if env_pairs:
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write_env_file(env_path, env_pairs)
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print_success(f"API keys written to: {env_path.relative_to(project_root)}")
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frontend_env = project_root / "frontend" / ".env"
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frontend_env_example = project_root / "frontend" / ".env.example"
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if not frontend_env.exists() and frontend_env_example.exists():
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import shutil
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shutil.copyfile(frontend_env_example, frontend_env)
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print_success("frontend/.env created from example")
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print_header("Setup complete!")
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print(f" {green('✓')} LLM: {llm.provider.display_name} / {llm.model_name}")
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if search_provider:
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print(f" {green('✓')} Web search: {search_provider.display_name}")
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else:
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print(f" {'—':>3} Web search: not configured")
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if fetch_provider:
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print(f" {green('✓')} Web fetch: {fetch_provider.display_name}")
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else:
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print(f" {'—':>3} Web fetch: not configured")
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sandbox_label = "Local sandbox" if execution.sandbox_use.endswith("LocalSandboxProvider") else "Container sandbox"
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print(f" {green('✓')} Execution: {sandbox_label}")
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if execution.include_bash_tool:
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bash_label = "enabled"
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if execution.allow_host_bash:
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bash_label += " (host bash)"
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print(f" {green('✓')} Bash: {bash_label}")
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else:
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print(f" {'—':>3} Bash: disabled")
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if execution.include_write_tools:
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print(f" {green('✓')} File write: enabled")
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else:
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print(f" {'—':>3} File write: disabled")
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if channels.enabled_providers:
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print(f" {green('✓')} IM channels: {', '.join(channels.enabled_providers)}")
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else:
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print(f" {'—':>3} IM channels: disabled")
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print()
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print("Next steps:")
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print(f" {cyan('make install')} # Install dependencies (first time only)")
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print(f" {cyan('make dev')} # Start DeerFlow")
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print()
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print(f"Run {cyan('make doctor')} to verify your setup at any time.")
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print()
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return 0
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except KeyboardInterrupt:
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print("\n\nSetup cancelled.")
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return 130
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if __name__ == "__main__":
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sys.exit(main())
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