Files
deepdata/deep-flow/tests/unit/graph/test_builder.py
T
沃巴蒂 ff22ed3a8b feat(deepdata): 引入修改密码、文件预览组件与清洗算子增强,deepflow 改名为 deep-flow
本次同步 09-12 至 09-28 的代码变更,主要内容:

新增功能
- 修改密码:后端新增 ChangePasswordRequest DTO 与UserController/UserService
  对应接口,前端新增 ChangePasswordDialog 并在 Header 接入入口
- 文件预览组件重构:file-preview 目录拆分出 VideoPreview(支持 blobUrl 直传)、
  ImagePreview、AudioPreview,index.tsx 统一调度各类型预览器
- 新增 my_ops 算子模块:markitdown_parser、mineru_pdf_parser、text_quality_evaluator
- 新增 tools/minio-file-server MinIO 文件服务

功能增强
- 数据清洗:cleaning_task_service/scheduler/routes 重构,
  data_juicer_executor 与 wrapper 增强,OperatorTable/LogsTable/TaskDetail 同步调整
- 数据标注:annotation sync.py、project.py 接口与schema 更新
- 数据采集、算子市场、首页与菜单路由相关页面调整
- DataJuicer 算子接入(useOperatorOperations、dj_ops_schema)

结构调整
- deepflow/ 更名为 deep-flow/(419 个文件重命名)
- 新增 helm 部署编排、GitHub Actions 之外的自建镜像构建脚本

未纳入本次提交
- scripts-backup/、runtime/python-executor-backup/、components_backup/(备份目录)
- *.backup*、__pycache__ 产物
- zh_core_web_sm-3.8.0-py3-none-any.whl(46MB 构建产物)
- DataX/(内嵌独立仓库,远程亦未收录其源码)
2026-10-03 22:44:56 +08:00

135 lines
4.4 KiB
Python

# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
# SPDX-License-Identifier: MIT
import importlib
import sys
from unittest.mock import MagicMock, patch
import pytest
import src.graph.builder as builder_mod
@pytest.fixture
def mock_state():
class Step:
def __init__(self, execution_res=None, step_type=None):
self.execution_res = execution_res
self.step_type = step_type
class Plan:
def __init__(self, steps):
self.steps = steps
return {
"Step": Step,
"Plan": Plan,
}
def test_continue_to_running_research_team_no_plan(mock_state):
state = {"current_plan": None}
assert builder_mod.continue_to_running_research_team(state) == "planner"
def test_continue_to_running_research_team_no_steps(mock_state):
state = {"current_plan": mock_state["Plan"](steps=[])}
assert builder_mod.continue_to_running_research_team(state) == "planner"
def test_continue_to_running_research_team_all_executed(mock_state):
Step = mock_state["Step"]
Plan = mock_state["Plan"]
steps = [Step(execution_res=True), Step(execution_res=True)]
state = {"current_plan": Plan(steps=steps)}
assert builder_mod.continue_to_running_research_team(state) == "planner"
def test_continue_to_running_research_team_next_researcher(mock_state):
Step = mock_state["Step"]
Plan = mock_state["Plan"]
steps = [
Step(execution_res=True),
Step(execution_res=None, step_type=builder_mod.StepType.RESEARCH),
]
state = {"current_plan": Plan(steps=steps)}
assert builder_mod.continue_to_running_research_team(state) == "researcher"
def test_continue_to_running_research_team_next_coder(mock_state):
Step = mock_state["Step"]
Plan = mock_state["Plan"]
steps = [
Step(execution_res=True),
Step(execution_res=None, step_type=builder_mod.StepType.PROCESSING),
]
state = {"current_plan": Plan(steps=steps)}
assert builder_mod.continue_to_running_research_team(state) == "coder"
def test_continue_to_running_research_team_next_coder_withresult(mock_state):
Step = mock_state["Step"]
Plan = mock_state["Plan"]
steps = [
Step(execution_res=True),
Step(execution_res=True, step_type=builder_mod.StepType.PROCESSING),
]
state = {"current_plan": Plan(steps=steps)}
assert builder_mod.continue_to_running_research_team(state) == "planner"
def test_continue_to_running_research_team_default_planner(mock_state):
Step = mock_state["Step"]
Plan = mock_state["Plan"]
steps = [Step(execution_res=True), Step(execution_res=None, step_type=None)]
state = {"current_plan": Plan(steps=steps)}
assert builder_mod.continue_to_running_research_team(state) == "planner"
@patch("src.graph.builder.StateGraph")
def test_build_base_graph_adds_nodes_and_edges(MockStateGraph):
mock_builder = MagicMock()
MockStateGraph.return_value = mock_builder
builder_mod._build_base_graph()
# Check that all nodes and edges are added
assert mock_builder.add_edge.call_count >= 2
assert mock_builder.add_node.call_count >= 8
# Now we have 1 conditional edges: research_team
assert mock_builder.add_conditional_edges.call_count == 1
@patch("src.graph.builder._build_base_graph")
@patch("src.graph.builder.MemorySaver")
def test_build_graph_with_memory_uses_memory(MockMemorySaver, mock_build_base_graph):
mock_builder = MagicMock()
mock_build_base_graph.return_value = mock_builder
mock_memory = MagicMock()
MockMemorySaver.return_value = mock_memory
builder_mod.build_graph_with_memory()
mock_builder.compile.assert_called_once_with(checkpointer=mock_memory)
@patch("src.graph.builder._build_base_graph")
def test_build_graph_without_memory(mock_build_base_graph):
mock_builder = MagicMock()
mock_build_base_graph.return_value = mock_builder
builder_mod.build_graph()
mock_builder.compile.assert_called_once_with()
def test_graph_is_compiled():
# The graph object should be the result of build_graph()
with patch("src.graph.builder._build_base_graph") as mock_base:
mock_builder = MagicMock()
mock_base.return_value = mock_builder
mock_builder.compile.return_value = "compiled_graph"
# reload the module to re-run the graph assignment
importlib.reload(sys.modules["src.graph.builder"])
assert builder_mod.graph is not None