初始提交：飞球 ETL 系统全量代码

tests/unit/test_config_properties.py

@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+"""配置映射属性测试 — 使用 hypothesis 验证配置键兼容映射的通用正确性属性。"""
+import os
+import warnings
+
+import pytest
+from hypothesis import given, settings
+from hypothesis import strategies as st
+
+from config.settings import AppConfig, _FLOW_TO_DATA_SOURCE
+
+
+# ── 确保测试不读取 .env 文件 ──────────────────────────────────
+
+@pytest.fixture(autouse=True)
+def skip_dotenv(monkeypatch):
+    monkeypatch.setenv("ETL_SKIP_DOTENV", "1")
+
+
+# ── 生成策略 ──────────────────────────────────────────────────
+
+flow_st = st.sampled_from(["FULL", "FETCH_ONLY", "INGEST_ONLY"])
+
+
+# ── Property 11: pipeline_flow → data_source 映射一致性 ──────
+# Feature: scheduler-refactor, Property 11: pipeline_flow → data_source 映射一致性
+# **Validates: Requirements 8.1, 8.2, 8.3, 5.2, 8.4**
+#
+# 对于任意旧 pipeline_flow 值（FULL/FETCH_ONLY/INGEST_ONLY），
+# 映射到 data_source 的结果应与预定义映射表一致：
+# FULL→hybrid、FETCH_ONLY→online、INGEST_ONLY→offline。
+# 同样，配置键 pipeline.flow 应自动映射到 run.data_source。
+
+
+class TestProperty11FlowToDataSourceMapping:
+    """Property 11: pipeline_flow → data_source 映射一致性。"""
+
+    @given(flow=flow_st)
+    @settings(max_examples=100)
+    def test_pipeline_flow_maps_to_data_source(self, flow):
+        """通过 pipeline.flow 设置旧值后，run.data_source 应与映射表一致。"""
+        expected = _FLOW_TO_DATA_SOURCE[flow]
+
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", DeprecationWarning)
+            config = AppConfig.load({
+                "app": {"store_id": 1},
+                "pipeline": {"flow": flow},
+            })
+
+        actual = config.get("run.data_source")
+        assert actual == expected, (
+            f"pipeline.flow={flow!r} 应映射为 run.data_source={expected!r}，"
+            f"实际为 {actual!r}"
+        )