dodata

DoData python library 0.6.2

In chip design, managing a variety of data types is essential:

• Simulations
• Layouts
• Verification results (DRC, LVS ...)
• Measurements
• Yield, qualification data

DoData delivers a cutting-edge data storage solution specifically crafted for the complexities of chip design. Our platform seamlessly integrates into your existing workflow, offering a scalable approach to store, manage, and analyze all your critical chip data files, enhancing both efficiency and effectiveness in your design process.

Installation

We only support Python 3.11 or 3.12, and recommend VSCode IDE.

You will need Anaconda python.

After installing python, open Anaconda Prompt as Administrator and install psycopg2 with conda and the rest of the dependencies using pip.

conda install -c conda-forge psycopg2 -y
pip install "dodata[demos]" --upgrade

Setup

Make sure you create an .env file in your working directory.

dodata_url = 'https://your.dodata.url.here'
dodata_user = 'dodata_user'
dodata_password = 'dodata_web_password'
dodata_db = 'your.dodata.database.url.here'
dodata_db_user = "db_username_here"
dodata_db_password = "db_password_here"
dodata_db_name = "dodata"
data_db_port = 5432
debug = False

The .env file can be in the same directory run the notebooks from or in a parent directory.

Run notebooks

For running the notebooks you can use VSCode or JupyterLab.

• For VSCode make sure you use the same conda python interpreter where you installed the packages .
• For JupyterLab you can launch jupyter-lab from the same terminal where you run the installation.

Then, make sure you run the notebooks in order:

• 1_generate_layout: generate GDS layout and CSV device manifest with device coordinates, settings and analysis.
• 2_generate_measurement_data: generate CSV measurement data.
• 3_upload_measurements: Upload wafer definitions and measurement data.
• 4_download_data: Download analysis using conditional.
• 5_delete: Delete data.