remove clone function

tests/metagpt/actions/test_clone_function.py

@@ -1,101 +0,0 @@
-import os
-import tempfile
-
-import pytest
-
-from metagpt.actions.clone_function import (
-    CloneFunction,
-    run_function_code,
-    run_function_script,
-)
-
-source_code = """
-import pandas as pd
-import ta
-
-def user_indicator():
-    # 读取股票数据
-    stock_data = pd.read_csv('./tests/data/baba_stock.csv')
-    stock_data.head()
-    # 计算简单移动平均线
-    stock_data['SMA'] = ta.trend.sma_indicator(stock_data['Close'], window=6)
-    stock_data[['Date', 'Close', 'SMA']].head()
-    # 计算布林带
-    stock_data['bb_upper'], stock_data['bb_middle'], stock_data['bb_lower'] = ta.volatility.bollinger_hband_indicator(stock_data['Close'], window=20), ta.volatility.bollinger_mavg(stock_data['Close'], window=20), ta.volatility.bollinger_lband_indicator(stock_data['Close'], window=20)
-    stock_data[['Date', 'Close', 'bb_upper', 'bb_middle', 'bb_lower']].head()
-"""
-
-template_code = """
-def stock_indicator(stock_path: str, indicators=['Simple Moving Average', 'BollingerBands', 'MACD]) -> pd.DataFrame:
-    import pandas as pd
-    # here is your code.
-"""
-
-
-def get_expected_res():
-    import pandas as pd
-    import ta
-
-    # 读取股票数据
-    stock_data = pd.read_csv("./tests/data/baba_stock.csv")
-    stock_data.head()
-    # 计算简单移动平均线
-    stock_data["SMA"] = ta.trend.sma_indicator(stock_data["Close"], window=6)
-    stock_data[["Date", "Close", "SMA"]].head()
-    # 计算布林带
-    stock_data["bb_upper"], stock_data["bb_middle"], stock_data["bb_lower"] = (
-        ta.volatility.bollinger_hband_indicator(stock_data["Close"], window=20),
-        ta.volatility.bollinger_mavg(stock_data["Close"], window=20),
-        ta.volatility.bollinger_lband_indicator(stock_data["Close"], window=20),
-    )
-    stock_data[["Date", "Close", "bb_upper", "bb_middle", "bb_lower"]].head()
-    return stock_data
-
-
-@pytest.mark.asyncio
-async def test_clone_function():
-    clone = CloneFunction()
-    code = await clone.run(template_code, source_code)
-    assert "def " in code
-    stock_path = "./tests/data/baba_stock.csv"
-    df, msg = run_function_code(code, "stock_indicator", stock_path)
-    assert not msg
-    expected_df = get_expected_res()
-    assert df.equals(expected_df)
-
-
-def test_run_function_script():
-    # 创建一个临时文件并写入脚本内容
-    script_content = """def valid_function(arg1, arg2):\n    return arg1 + arg2\n"""
-    with tempfile.NamedTemporaryFile(mode="w+", suffix=".py", delete=False) as temp_file:
-        temp_file.write(script_content)
-        temp_file_path = temp_file.name
-
-    invalid_script_content = """def valid_function(arg1, arg2)\n    return arg1 + arg2\n"""
-    with tempfile.NamedTemporaryFile(mode="w+", suffix=".py", delete=False) as error_temp_file:
-        error_temp_file.write(invalid_script_content)
-        error_temp_file_path = error_temp_file.name
-
-    try:
-        # 正常情况下运行脚本
-        result, _ = run_function_script(temp_file_path, "valid_function", 1, arg2=2)
-        assert result == 3
-
-        # 不存在的脚本路径
-        with pytest.raises(FileNotFoundError):
-            run_function_script("nonexistent/path/script.py", "valid_function", 1, arg2=2)
-
-        # 无效的脚本内容
-        result, traceback = run_function_script(error_temp_file_path, "invalid_function", 1, arg2=2)
-        assert not result
-        assert "SyntaxError" in traceback
-
-        # 函数调用失败的情况
-        result, traceback = run_function_script(temp_file_path, "function_that_raises_exception", 1, arg2=2)
-        assert not result
-        assert "KeyError" in traceback
-
-    finally:
-        # 删除临时文件
-        if os.path.exists(temp_file_path):
-            os.remove(temp_file_path)