gdsfactoryhub 0.1.8

Software Development Kit - SDK for DoData

DoData python library 0.1.8

In chip design, you need to efficiently manage multiple types of data, including:

• 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.

Database Relationships

DoData uses a structured database schema that captures the relationships between different entities in chip design:

flowchart LR
    A["project"]
    A --> B["cell"]
    B --> C["device"]
    C --> D["device_data"]
    D --> E["analysis"]
    A --> F["wafer"]
    F --> G["die"]
    G --> D
    H["function"] --> E

This relationship model allows you to:

• Filter across relationships: Query device data by project, wafer, or cell attributes
• Trace data lineage: Follow the path from analysis results back to the original project
• Perform complex queries: Filter analyses by device characteristics, wafer properties, or project settings

Installation

We only support Python 3.11, 3.12 or 3.13 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:

api_url="https://dodata.demo.gdsfactory.com/"
query_url="https://postgrest.dodata.demo.gdsfactory.com/"

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.