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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).
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@@ -6,6 +6,16 @@ from unittest.mock import MagicMock, patch
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from deerflow.community.infoquest import tools
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from deerflow.community.infoquest.infoquest_client import InfoQuestClient
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# --- Phase 2 test helper: injected runtime for community tools ---
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from types import SimpleNamespace as _P2NS
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from deerflow.config.app_config import AppConfig as _P2AppConfig
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from deerflow.config.sandbox_config import SandboxConfig as _P2SandboxConfig
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from deerflow.config.deer_flow_context import DeerFlowContext as _P2Ctx
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_P2_APP_CONFIG = _P2AppConfig(sandbox=_P2SandboxConfig(use="test"))
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_P2_RUNTIME = _P2NS(context=_P2Ctx(app_config=_P2_APP_CONFIG, thread_id="test-thread"))
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# -------------------------------------------------------------------
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class TestInfoQuestClient:
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def test_infoquest_client_initialization(self):
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@@ -130,7 +140,7 @@ class TestInfoQuestClient:
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mock_client.web_search.return_value = json.dumps([])
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mock_get_client.return_value = mock_client
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result = tools.web_search_tool.run("test query")
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result = tools.web_search_tool.func(query="test query", runtime=_P2_RUNTIME)
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assert result == json.dumps([])
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mock_get_client.assert_called_once()
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@@ -143,14 +153,13 @@ class TestInfoQuestClient:
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mock_client.fetch.return_value = "<html><body>Test content</body></html>"
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mock_get_client.return_value = mock_client
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result = tools.web_fetch_tool.run("https://example.com")
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result = tools.web_fetch_tool.func(url="https://example.com", runtime=_P2_RUNTIME)
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assert result == "# Untitled\n\nTest content"
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mock_get_client.assert_called_once()
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mock_client.fetch.assert_called_once_with("https://example.com")
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@patch("deerflow.community.infoquest.tools.get_app_config")
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def test_get_infoquest_client(self, mock_get_app_config):
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def test_get_infoquest_client(self):
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"""Test _get_infoquest_client function with config."""
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mock_config = MagicMock()
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# Add image_search config to the side_effect
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@@ -159,9 +168,8 @@ class TestInfoQuestClient:
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MagicMock(model_extra={"fetch_time": 10, "timeout": 30, "navigation_timeout": 60}), # web_fetch config
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MagicMock(model_extra={"image_search_time_range": 7, "image_size": "l"}), # image_search config
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]
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mock_get_app_config.return_value = mock_config
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client = tools._get_infoquest_client()
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client = tools._get_infoquest_client(mock_config)
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assert client.search_time_range == 24
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assert client.fetch_time == 10
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@@ -321,7 +329,7 @@ class TestImageSearch:
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mock_client.image_search.return_value = json.dumps([{"image_url": "https://example.com/image1.jpg"}])
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mock_get_client.return_value = mock_client
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result = tools.image_search_tool.run({"query": "test query"})
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result = tools.image_search_tool.func(query="test query", runtime=_P2_RUNTIME)
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# Check if result is a valid JSON string
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result_data = json.loads(result)
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@@ -340,7 +348,7 @@ class TestImageSearch:
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mock_get_client.return_value = mock_client
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# Pass all parameters as a dictionary (extra parameters will be ignored)
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tools.image_search_tool.run({"query": "sunset", "time_range": 30, "site": "unsplash.com", "image_size": "l"})
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tools.image_search_tool.func(query="sunset", runtime=_P2_RUNTIME)
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mock_get_client.assert_called_once()
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# image_search_tool only passes query to client.image_search
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