# # Import Padstack Definitions # This example shows how to import padstack definitions. This includes # # - Download an example board # - Create a config file with hole information # - Create a config file with pad and anti-pad information # ## Import the required packages # + import json from pathlib import Path import tempfile from IPython.display import display from ansys.aedt.core.downloads import download_file import pandas as pd from pyedb import Edb AEDT_VERSION = "2024.2" # - # Download the example PCB data. temp_folder = tempfile.TemporaryDirectory(suffix=".ansys").name file_edb = download_file(source="edb/ANSYS-HSD_V1.aedb", destination=temp_folder) # ## Load example layout. edbapp = Edb(file_edb, edbversion=AEDT_VERSION) # ## Create a config file with hole information # Keywords # # - **name**. Name of the padstack definition. # - **hole_plating_thickness**. Hole plating thickness. # - **hole_range**. Supported types are 'through', 'begin_on_upper_pad', 'end_on_lower_pad', 'upper_pad_to_lower_pad'. # - **hole_parameters**. # - **shape**. Supported types are 'circle', 'square', 'rectangle'. # - Other parameters are shape dependent. # - When shape is 'circle', supported parameter si 'diameter'. # - When shape is 'square', supported parameter is 'size'. # - When shape is 'rectangle', supported parameters are 'x_size', 'y_size'. cfg = dict() cfg["padstacks"] = {} cfg["padstacks"]["definitions"] = [ { "name": "v35h15", "hole_plating_thickness": "25um", "material": "copper", "hole_range": "through", "hole_parameters": { "shape": "circle", "diameter": "0.15mm", }, } ] df = pd.DataFrame(data=cfg["padstacks"]["definitions"]) display(df) cfg_file_path = Path(temp_folder) / "cfg.json" with open(cfg_file_path, "w") as f: json.dump(cfg, f, indent=4, ensure_ascii=False) # Load config file edbapp.configuration.load(cfg_file_path, apply_file=True) # ## Create a config file with pad information # Keywords # # - **name**. Name of the padstack definition. # - **pad_parameters**. # - **regular_pad**. List of pad definition per layer. # - **layer_name**. Name of the layer. # - **shape**. Supported types are 'circle', 'square', 'rectangle', 'oval', 'bullet'. # - Other parameters are shape dependent. # - When shape is 'circle', supported parameter si 'diameter'. # - When shape is 'square', supported parameter is 'size'. # - When shape is 'rectangle', supported parameters are 'x_size', 'y_size'. # - When shape is 'oval', supported parameters are 'x_size', 'y_size', 'corner_radius'. # - When shape is 'bullet', supported parameters are 'x_size', 'y_size', 'corner_radius'. cfg = dict() cfg["padstacks"] = {} cfg["padstacks"]["definitions"] = [ { "name": "v35h15", "pad_parameters": { "regular_pad": [ { "layer_name": "1_Top", "shape": "circle", "offset_x": "0.1mm", "offset_y": "0.1mm", "rotation": "0", "diameter": "0.5mm", }, { "layer_name": "Inner1(GND1)", "shape": "square", "offset_x": "0.1mm", "offset_y": "0.1mm", "rotation": "45deg", "size": "0.5mm", }, ], "anti_pad": [{"layer_name": "1_Top", "shape": "circle", "diameter": "1mm"}], }, } ] df = pd.DataFrame(data=cfg["padstacks"]["definitions"][0]["pad_parameters"]["regular_pad"]) display(df) df = pd.DataFrame(data=cfg["padstacks"]["definitions"][0]["pad_parameters"]["anti_pad"]) display(df) cfg_file_path = Path(temp_folder) / "cfg.json" with open(cfg_file_path, "w") as f: json.dump(cfg, f, indent=4, ensure_ascii=False) # Load config file edbapp.configuration.load(cfg_file_path, apply_file=True) # ## Save and close Edb # The temporary folder will be deleted once the execution of this script is finished. Replace edbapp.save() with # edbapp.save_as("C:/example.aedb") to keep the example project. edbapp.save() edbapp.close()