STDF Reader Tool

The STDF Reader Tool is a project designed for the AP team to process and analyze Teradyne's STDF/STD file format.

Features

1. Convert STDF/STD to CSV: Parse STDF/STD files into CSV format for further analysis.
2. Upload CSV files: Upload the generated CSV files for data processing.
3. Data analysis: Perform various data analysis tasks, such as generating data statistics, duplicate test numbers, bin summaries, and wafer maps.
4. Export reports: Generate XLSX and PDF reports containing mean/cp/cpk values, data statistics, wafer maps, and more.
5. Correlation: Upload two parsed CSV files with STDF data to perform correlation analysis.
6. Additional features: Convert STDF files to XLSX tables, extract STR/PSR/PMR from diagnosis logs, and generate sub-CSV files from selected tests.
7. Chat with STDF data in Natural language: Use natural language to perform data analysis tasks, powered by Azure OpenAI.

Setup Azure OpenAI (Optional)

To configure the application, you will need to create a key.txt file containing your Azure OpenAI API key and a config.json file with your desired settings.

key.txt

Create a file named key.txt and add your Azure OpenAI API key as a single line in the file.

config.json

Create a config.json file with the following configuration:

{
    "CHATGPT_MODEL": "xxxxx",
    "OPENAI_API_BASE": "https://xxxxxx.openai.azure.com/",
    "OPENAI_API_VERSION": "xxxxx",
    "EMBEDDING_MODEL": "xxxxx",
    "EMBEDDING_MODEL_VERSION": "xxxxx"
}

Acknowledgments

• The Python community for the excellent libraries used in this project
• Thanks to Casey, all I have done are based on this repo cmars/pystdf