- 将独立 API 模块 (daily, stock_basic, trade_cal) 整合至 api_wrappers/ - 重写 sync.py 使用新的 wrapper 结构,支持更多同步功能 - 更新测试文件适配新的模块结构 - 添加 pytest.ini 配置文件
123 lines
3.6 KiB
Python
123 lines
3.6 KiB
Python
"""Test for daily market data API.
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Tests the daily interface implementation against api.md requirements:
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- A股日线行情所有输出字段
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- tor 换手率
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- vr 量比
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"""
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import pytest
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import pandas as pd
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from src.data.api_wrappers import get_daily
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# Expected output fields according to api.md
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EXPECTED_BASE_FIELDS = [
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"ts_code", # 股票代码
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"trade_date", # 交易日期
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"open", # 开盘价
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"high", # 最高价
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"low", # 最低价
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"close", # 收盘价
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"pre_close", # 昨收价
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"change", # 涨跌额
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"pct_chg", # 涨跌幅
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"vol", # 成交量
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"amount", # 成交额
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]
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EXPECTED_FACTOR_FIELDS = [
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"turnover_rate", # 换手率 (tor)
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"volume_ratio", # 量比 (vr)
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]
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class TestGetDaily:
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"""Test cases for get_daily function with real API calls."""
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def test_fetch_basic(self):
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"""Test basic daily data fetch with real API."""
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result = get_daily("000001.SZ", start_date="20240101", end_date="20240131")
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assert isinstance(result, pd.DataFrame)
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assert len(result) >= 1
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assert result["ts_code"].iloc[0] == "000001.SZ"
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def test_fetch_with_factors(self):
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"""Test fetch with tor and vr factors."""
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result = get_daily(
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"000001.SZ",
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start_date="20240101",
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end_date="20240131",
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factors=["tor", "vr"],
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)
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assert isinstance(result, pd.DataFrame)
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# Check all base fields are present
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for field in EXPECTED_BASE_FIELDS:
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assert field in result.columns, f"Missing base field: {field}"
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# Check factor fields are present
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for field in EXPECTED_FACTOR_FIELDS:
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assert field in result.columns, f"Missing factor field: {field}"
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def test_output_fields_completeness(self):
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"""Verify all required output fields are returned."""
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result = get_daily("600000.SH")
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# Verify all base fields are present
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assert set(EXPECTED_BASE_FIELDS).issubset(result.columns.tolist()), (
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f"Missing fields: {set(EXPECTED_BASE_FIELDS) - set(result.columns)}"
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)
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def test_empty_result(self):
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"""Test handling of empty results."""
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# 使用真实 API 测试无效股票代码的空结果
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result = get_daily("INVALID.SZ")
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assert isinstance(result, pd.DataFrame)
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assert result.empty
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def test_date_range_query(self):
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"""Test query with date range."""
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result = get_daily(
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"000001.SZ",
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start_date="20240101",
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end_date="20240131",
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)
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assert isinstance(result, pd.DataFrame)
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assert len(result) >= 1
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def test_with_adj(self):
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"""Test fetch with adjustment type."""
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result = get_daily("000001.SZ", adj="qfq")
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assert isinstance(result, pd.DataFrame)
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def test_integration():
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"""Integration test with real Tushare API (requires valid token)."""
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import os
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token = os.environ.get("TUSHARE_TOKEN")
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if not token:
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pytest.skip("TUSHARE_TOKEN not configured")
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result = get_daily(
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"000001.SZ", start_date="20240101", end_date="20240131", factors=["tor", "vr"]
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)
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# Verify structure
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assert isinstance(result, pd.DataFrame)
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if not result.empty:
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# Check base fields
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for field in EXPECTED_BASE_FIELDS:
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assert field in result.columns, f"Missing base field: {field}"
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# Check factor fields
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for field in EXPECTED_FACTOR_FIELDS:
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assert field in result.columns, f"Missing factor field: {field}"
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if __name__ == "__main__":
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# 运行 pytest 单元测试(真实API调用)
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pytest.main([__file__, "-v"])
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