# -*- 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}"
        )