ZJU_czx
32 lines
1.4 KiB
Python
32 lines
1.4 KiB
Python
from app.tool.python_execute import PythonExecute
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class VisualizationPrepare(PythonExecute):
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"""A tool for Chart Generation Preparation"""
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name: str = "visualization_preparation"
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description: str = (
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"Using Python code to Generates metadata of data_visualization tool. Outputs: 1) Cleaned CSV data files 2) JSON info with csv path and visualization description."
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)
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parameters: dict = {
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"type": "object",
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"properties": {
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"code": {
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"type": "string",
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"description": """Python code template EXCLUSIVELY for visualization prepare. Must Contains:
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1. Data loading logic (handle dataframe/dict/file/url/json/web crawler)
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2. Csv Data and chart description generate
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2.1 Csv data (The data you want to visulazation, cleaning / transform from origin data, saved in .csv)
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2.2 Chart description of csv data (The chart title or description should be concise and clear. Examples: 'Product sales distribution', 'Monthly revenue trend'.)
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3. Save information in json file.( format: {"csvFilePath": string, "chartTitle": string}[])
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4. Json file saving with path print: print(json_path)
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# Note
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1. You can generate one or multiple csv data with different visualization needs.
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2. Make each chart data esay, clean and different.
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3. save/read in utf-8
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""",
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},
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},
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"required": ["code"],
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}
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