deer-flow/backend/tests/test_acp_config.py
greatmengqi 3e6a34297d refactor(config): eliminate global mutable state — explicit parameter passing on top of main
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).
2026-04-26 21:45:02 +08:00

159 lines
4.8 KiB
Python

"""Unit tests for ACP agent configuration."""
import json
import pytest
import pytest
import yaml
pytestmark = pytest.mark.real_from_file
from pydantic import ValidationError
from deerflow.config.acp_config import ACPAgentConfig
from deerflow.config.app_config import AppConfig
from deerflow.config.sandbox_config import SandboxConfig
def _make_config(acp_agents: dict | None = None) -> AppConfig:
return AppConfig(
sandbox=SandboxConfig(use="test"),
acp_agents={name: ACPAgentConfig(**cfg) for name, cfg in (acp_agents or {}).items()},
)
def test_acp_agents_via_app_config():
cfg = _make_config(
{
"claude_code": {
"command": "claude-code-acp",
"args": [],
"description": "Claude Code for coding tasks",
"model": None,
}
}
)
agents = cfg.acp_agents
assert "claude_code" in agents
assert agents["claude_code"].command == "claude-code-acp"
assert agents["claude_code"].description == "Claude Code for coding tasks"
assert agents["claude_code"].model is None
def test_multiple_agents():
cfg = _make_config(
{
"claude_code": {"command": "claude-code-acp", "args": [], "description": "Claude Code"},
"codex": {"command": "codex-acp", "args": ["--flag"], "description": "Codex CLI"},
}
)
agents = cfg.acp_agents
assert len(agents) == 2
assert agents["codex"].args == ["--flag"]
def test_empty_acp_agents():
cfg = _make_config({})
assert cfg.acp_agents == {}
def test_default_acp_agents_empty():
cfg = AppConfig(sandbox=SandboxConfig(use="test"))
assert cfg.acp_agents == {}
def test_acp_agent_config_defaults():
cfg = ACPAgentConfig(command="my-agent", description="My agent")
assert cfg.args == []
assert cfg.env == {}
assert cfg.model is None
assert cfg.auto_approve_permissions is False
def test_acp_agent_config_env_literal():
cfg = ACPAgentConfig(command="my-agent", description="desc", env={"OPENAI_API_KEY": "sk-test"})
assert cfg.env == {"OPENAI_API_KEY": "sk-test"}
def test_acp_agent_config_env_default_is_empty():
cfg = ACPAgentConfig(command="my-agent", description="desc")
assert cfg.env == {}
def test_acp_agent_preserves_env():
cfg = _make_config(
{
"codex": {
"command": "codex-acp",
"args": [],
"description": "Codex CLI",
"env": {"OPENAI_API_KEY": "$OPENAI_API_KEY", "FOO": "bar"},
}
}
)
assert cfg.acp_agents["codex"].env == {"OPENAI_API_KEY": "$OPENAI_API_KEY", "FOO": "bar"}
def test_acp_agent_config_with_model():
cfg = ACPAgentConfig(command="my-agent", description="desc", model="claude-opus-4")
assert cfg.model == "claude-opus-4"
def test_acp_agent_config_auto_approve_permissions():
"""P1.2: auto_approve_permissions can be explicitly enabled."""
cfg = ACPAgentConfig(command="my-agent", description="desc", auto_approve_permissions=True)
assert cfg.auto_approve_permissions is True
def test_acp_agent_config_missing_command_raises():
with pytest.raises(ValidationError):
ACPAgentConfig(description="No command provided")
def test_acp_agent_config_missing_description_raises():
with pytest.raises(ValidationError):
ACPAgentConfig(command="my-agent")
def test_app_config_from_file_with_acp_agents(tmp_path, monkeypatch):
config_path = tmp_path / "config.yaml"
extensions_path = tmp_path / "extensions_config.json"
extensions_path.write_text(json.dumps({"mcpServers": {}, "skills": {}}), encoding="utf-8")
config_with_acp = {
"sandbox": {"use": "deerflow.sandbox.local:LocalSandboxProvider"},
"models": [
{
"name": "test-model",
"use": "langchain_openai:ChatOpenAI",
"model": "gpt-test",
}
],
"acp_agents": {
"codex": {
"command": "codex-acp",
"args": [],
"description": "Codex CLI",
}
},
}
config_without_acp = {
"sandbox": {"use": "deerflow.sandbox.local:LocalSandboxProvider"},
"models": [
{
"name": "test-model",
"use": "langchain_openai:ChatOpenAI",
"model": "gpt-test",
}
],
}
monkeypatch.setenv("DEER_FLOW_EXTENSIONS_CONFIG_PATH", str(extensions_path))
config_path.write_text(yaml.safe_dump(config_with_acp), encoding="utf-8")
app = AppConfig.from_file(str(config_path))
assert set(app.acp_agents) == {"codex"}
config_path.write_text(yaml.safe_dump(config_without_acp), encoding="utf-8")
app = AppConfig.from_file(str(config_path))
assert app.acp_agents == {}