Files
deer-flow/scripts/setup_wizard.py
T
DanielWalnut aa015462a7 feat(im): Add user-owned IM channel connections (#3487)
* 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>
2026-06-12 15:24:58 +08:00

175 lines
6.6 KiB
Python

#!/usr/bin/env python3
"""DeerFlow Interactive Setup Wizard.
Usage:
uv run python scripts/setup_wizard.py
"""
from __future__ import annotations
import sys
from pathlib import Path
# Make the scripts/ directory importable so wizard.* works
sys.path.insert(0, str(Path(__file__).resolve().parent))
def _is_interactive() -> bool:
return sys.stdin.isatty() and sys.stdout.isatty()
def main() -> int:
try:
if not _is_interactive():
print(
"Non-interactive environment detected.\n"
"Please edit config.yaml and .env directly, or run 'make setup' in a terminal."
)
return 1
from wizard.ui import (
ask_yes_no,
bold,
cyan,
green,
print_header,
print_info,
print_success,
yellow,
)
from wizard.writer import write_config_yaml, write_env_file
project_root = Path(__file__).resolve().parents[1]
config_path = project_root / "config.yaml"
env_path = project_root / ".env"
print()
print(bold("Welcome to DeerFlow Setup!"))
print("This wizard will help you configure DeerFlow in a few minutes.")
print()
if config_path.exists():
print(yellow("Existing configuration detected."))
print()
should_reconfigure = ask_yes_no("Do you want to reconfigure?", default=False)
if not should_reconfigure:
print()
print_info("Keeping existing config. Run 'make doctor' to verify your setup.")
return 0
print()
total_steps = 5
from wizard.steps.llm import run_llm_step
llm = run_llm_step(f"Step 1/{total_steps}")
from wizard.steps.search import run_search_step
search = run_search_step(f"Step 2/{total_steps}")
search_provider = search.search_provider
search_api_key = search.search_api_key
fetch_provider = search.fetch_provider
fetch_api_key = search.fetch_api_key
from wizard.steps.execution import run_execution_step
execution = run_execution_step(f"Step 3/{total_steps}")
from wizard.steps.channels import run_channels_step
channels = run_channels_step(f"Step 4/{total_steps}")
print_header(f"Step {total_steps}/{total_steps} · Writing configuration")
write_config_yaml(
config_path,
provider_use=llm.provider.use,
model_name=llm.model_name,
display_name=f"{llm.provider.display_name} / {llm.model_name}",
api_key_field=llm.provider.api_key_field,
env_var=llm.provider.env_var,
extra_model_config=llm.provider.extra_config_for(llm.model_name) or None,
base_url=llm.base_url,
search_use=search_provider.use if search_provider else None,
search_tool_name=search_provider.tool_name if search_provider else "web_search",
search_extra_config=search_provider.extra_config if search_provider else None,
web_fetch_use=fetch_provider.use if fetch_provider else None,
web_fetch_tool_name=fetch_provider.tool_name if fetch_provider else "web_fetch",
web_fetch_extra_config=fetch_provider.extra_config if fetch_provider else None,
sandbox_use=execution.sandbox_use,
allow_host_bash=execution.allow_host_bash,
include_bash_tool=execution.include_bash_tool,
include_write_tools=execution.include_write_tools,
channel_connection_providers=channels.enabled_providers,
)
print_success(f"Config written to: {config_path.relative_to(project_root)}")
if not env_path.exists():
env_example = project_root / ".env.example"
if env_example.exists():
import shutil
shutil.copyfile(env_example, env_path)
env_pairs: dict[str, str] = {}
if llm.api_key:
env_pairs[llm.provider.env_var] = llm.api_key
if search_api_key and search_provider and search_provider.env_var:
env_pairs[search_provider.env_var] = search_api_key
if fetch_api_key and fetch_provider and fetch_provider.env_var:
env_pairs[fetch_provider.env_var] = fetch_api_key
if env_pairs:
write_env_file(env_path, env_pairs)
print_success(f"API keys written to: {env_path.relative_to(project_root)}")
frontend_env = project_root / "frontend" / ".env"
frontend_env_example = project_root / "frontend" / ".env.example"
if not frontend_env.exists() and frontend_env_example.exists():
import shutil
shutil.copyfile(frontend_env_example, frontend_env)
print_success("frontend/.env created from example")
print_header("Setup complete!")
print(f" {green('')} LLM: {llm.provider.display_name} / {llm.model_name}")
if search_provider:
print(f" {green('')} Web search: {search_provider.display_name}")
else:
print(f" {'':>3} Web search: not configured")
if fetch_provider:
print(f" {green('')} Web fetch: {fetch_provider.display_name}")
else:
print(f" {'':>3} Web fetch: not configured")
sandbox_label = "Local sandbox" if execution.sandbox_use.endswith("LocalSandboxProvider") else "Container sandbox"
print(f" {green('')} Execution: {sandbox_label}")
if execution.include_bash_tool:
bash_label = "enabled"
if execution.allow_host_bash:
bash_label += " (host bash)"
print(f" {green('')} Bash: {bash_label}")
else:
print(f" {'':>3} Bash: disabled")
if execution.include_write_tools:
print(f" {green('')} File write: enabled")
else:
print(f" {'':>3} File write: disabled")
if channels.enabled_providers:
print(f" {green('')} IM channels: {', '.join(channels.enabled_providers)}")
else:
print(f" {'':>3} IM channels: disabled")
print()
print("Next steps:")
print(f" {cyan('make install')} # Install dependencies (first time only)")
print(f" {cyan('make dev')} # Start DeerFlow")
print()
print(f"Run {cyan('make doctor')} to verify your setup at any time.")
print()
return 0
except KeyboardInterrupt:
print("\n\nSetup cancelled.")
return 130
if __name__ == "__main__":
sys.exit(main())