lenden
Exchange Workflow Data
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📙 lenden for exchange
This library allows to express in a Json format the output of the a Radiomics pipeline.
Installation
To install execute the command
pip install lendenUse examples
An example pipeline with two outputs results.
from lenden.dataexport import *
result1= DataResults(Description="Do exercitation occaecat Lorem dolore labore culpa quis.",
Help="Aliquip commodo sunt adipisicing officia irure laborum reprehenderit nulla consectetur in minim.",
Type=ResultType.image, Path="/path/to/image", Size=ResultSizeType.normal, Format="%20f")
result2= DataResults(Description="Sit pariatur magna nisi do.",
Help="Velit id adipisicing tempor Lorem. Tempor dolore proident ea quis.",
Type=ResultType.percent, Path="/path/to/fileresult", Size=ResultSizeType.wide, Format="RGB(2,3,4)")
# Result without Error
data = DataExport(Version=0.1, HasError=False,
DisplayType=DisplayType.grid, Results=[result1, result2], Logs=None)
print(data.getJSON())Then the output is:
{
"Version": 0.1,
"HasError": false,
"DisplayType": "grid",
"Results": [
{
"Description": "Do exercitation occaecat Lorem dolore labore culpa quis.",
"Help": "Aliquip commodo sunt adipisicing officia irure laborum reprehenderit nulla consectetur in minim.",
"Type": "image",
"Path": "/path/to/image",
"Size": "normal",
"Format": "%20f"
},
{
"Description": "Sit pariatur magna nisi do.",
"Help": "Velit id adipisicing tempor Lorem. Tempor dolore proident ea quis.",
"Type": "percent",
"Path": "/path/to/fileresult",
"Size": "wide",
"Format": "RGB(2,3,4)"
}
],
"Logs": {
"Description": "",
"Path": []
}
}If exist an error then
# Result with error
dataWithError = DataExport(Version=0.1, HasError=True,
DisplayType=DisplayType.grid, Results=[],
Logs=DataLog("Voluptate sint sint eu aliqua consequat culpa nisi fugiat nostrud aute adipisicing.",
["/path/log1","/path/log2","/path/log3"]))
print(dataWithError.getJSON())Then the output is:
{
"Version": 0.1,
"HasError": true,
"DisplayType": "grid",
"Results": [],
"Logs": {
"Description": "Voluptate sint sint eu aliqua consequat culpa nisi fugiat nostrud aute adipisicing.",
"Path": [
"/path/log1",
"/path/log2",
"/path/log3"
]
}
}
