dodata

DoData python library 0.7.2

In chip design, handling various data types efficiently is crucial:

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

DoData provides a cutting-edge data storage solution designed specifically for the complexities of chip design. Our platform seamlessly integrates into your existing workflow, offering a scalable, efficient, and organized way to store, manage, and analyze all your critical data.

By using DoData, you can enhance efficiency, improve collaboration, and streamline your design process.

⚠ Notice: This tool requires an active GDSFactory+ subscription. To learn more, visit GDSFactory.com.

Installation

We only support Python 3.11 or 3.12, and recommend VSCode IDE and UV. You can install UV on a terminal with the following commands:

# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Then you can install dodata with:

uv pip install "dodata[demos]" --upgrade

Setup

Ensure you create a .env file in your working directory with the following contents:

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 should be in the same directory where you run the notebooks or in a parent directory.

Run notebooks

To run the notebooks, you can use either VSCode or JupyterLab:

• VSCode: Ensure you select the same Conda Python interpreter where the packages were installed.
• JupyterLab: Launch JupyterLab by running jupyter-lab from the same terminal used for the installation.

Run the notebooks in the following order:

• 1_generate_layout: Generates the GDS layout and a CSV device manifest, including device coordinates, settings, and analysis.
• 2_generate_measurement_data: Generates CSV measurement data.
• 3_upload_measurements: Uploads wafer definitions, measurement data and trigger analysis.
• 4_download_data: Downloads analysis using specific queries.
• 5_delete: Deletes data as needed.