Intelligent code generation program for data processing
For data processing needs such as CSV/Excel, the following process can be realized:
- Tool Preparation: Install data processing libraries such as pandas as dependencies
- Customization Tools: Use @tool to create data processing functions such as:
@tool
def read_csv(path).
"""Read CSV file tool""""
return pd.read_csv(path) - security sandbox: Configure a standalone Python environment to execute the generated code
- Examples of tasks::
"Analyze sales.csv and calculate sales averages by month"
Intelligent bodies are automatically generated:
df = read_csv('sales.csv')
print(df.groupby('month')['sales'].mean())
Advanced Tips:
- Combining multiple tools to realize ETL processes
- Monitoring Big Data Processing Progress with .stream()
- Configure sandbox network isolation for sensitive data
This answer comes from the articleLangGraph CodeAct: generating code to help intelligences solve complex tasksThe
May not be reproduced without permission:AI productivity tools " How to apply LangGraph CodeAct to automatically generate Python scripts in data processing scenarios?
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