Write/Load and Upload/Download a Result File

DPF-Core can upload files to and download files from the server machine.

This example shows how to write and upload files on the server machine and then download them back on the client side. The resulting fields container is exported in CSV format.

Load a model from the DPF-Core examples: ansys.dpf.core module.

from ansys.dpf import core
from ansys.dpf.core import examples

model = core.Model(examples.simple_bar)
mesh = model.metadata.meshed_region

Get and Plot the Fields Container for the Result

Get the fields container for the result and plot it so you can compare it later:

displacement_operator = model.results.displacement()
fc_out = displacement_operator.outputs.fields_container()
mesh.plot(fc_out)

Export Result

Get the fields container for the result and export it in the CSV format:

import os

file_path = os.getcwd() + "\\simple_bar_fc.csv"

export_csv_operator = core.operators.serialization.field_to_csv()
export_csv_operator.inputs.field_or_fields_container.connect(fc_out)
export_csv_operator.inputs.file_path.connect(file_path)
export_csv_operator.run()

Upload CSV Result File

Upload the file simple_bar_fc.csv on the server side. Here, upload_file_in_tmp_folder() is used because it is assumed that the server machine architecture is unknown. However, when the server file path is known, upload_file() can be used.

server_file_path = core.upload_file_in_tmp_folder(file_path)
print(server_file_path)

# Remove file to avoid polluting.
os.remove(file_path)

Out:

C:\Users\RUNNER~1\AppData\Local\Temp\dataProcessingTemp1912\simple_bar_fc.csv

Download CSV Result File

Download the file simple_bar_fc.csv:

downloaded_client_file_path = os.getcwd() + "\\simple_bar_fc_downloaded.csv"
core.download_file(server_file_path, downloaded_client_file_path)

Load CSV Result File as Operator Input

Load the fields container contained in the CSV file as an operator input:

my_data_sources = core.DataSources(downloaded_client_file_path)
import_csv_operator = core.operators.serialization.csv_to_field()
import_csv_operator.inputs.data_sources.connect(my_data_sources)
downloaded_fc_out = import_csv_operator.outputs.fields_container()
mesh.plot(downloaded_fc_out)

# Remove file to avoid polluting.
os.remove(downloaded_client_file_path)

Make Operations Over the Imported Fields Container

Use this fields container:

min_max_op = core.operators.min_max.min_max_fc()
min_max_op.inputs.fields_container.connect(downloaded_fc_out)
min_field = min_max_op.outputs.field_min()
min_field.data

Out:

array([[-8.202171e-07, -6.265107e-06, -2.444680e-05]])