Cortex Intelligence Platform Python SDK
Project description
Py Cortex Intelligence
Release Notes
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How to build locale
pip install wheel
python setup.py bdist_wheel
How to update on PIP
python -m twine upload dist/*
Cases of Use
DataInput Parameters
data_input_parameters = {
'ignoreValidationErrors': True/False,
}
// If you send this parameter, the datainput will ignore errors.
Available Origins
execution_parameters = {
'name': 'Name of your Integrations',
'origin': 'Connector',
}
// If you send this to Execution your data need contain
// Dates in YYYY-MM-DD HH:MM:SS format
// Float numbers in XXX.XXX.XXX,YY format
// 'origin' are optional parameters, if you do not send the platform you will try to guess the formats
If you need upload a file to Cortex Application
from pycortexintelligence import functions as cortexfunctions
# Execution Parameters
# You can define Origin, to inform plataform a bundle of parses.
execution_parameters = {
'name': 'LoadManager PyCortex',
# 'origin': 'Connector',
}
# DataInput Parameters
data_input_parameters = {
'ignoreValidationErrors': True,
}
# Loadmanager
loadmanager = 'https://api.cortex-intelligence.com'
# Timeouts
# You can set timeouts for the platform according to the size of the uploaded files
# or use the default
timeout = {
'file': 300,
'execution': 600,
}
# DataFormat are Optionally defined
dafault_data_format = {
"charset": "UTF-8",
"quote": "\"",
"escape": "\\",
"delimiter": ",",
"fileType": "CSV"
}
# Upload to Cortex
cortexfunctions.upload_to_cortex(
cubo_id='',
file_path='',
plataform_url='CLIENT.cortex-intelligence.com',
username='',
password='',
data_format=dafault_data_format,
timeout=timeout,
loadmanager=loadmanager,
execution_parameters=execution_parameters,
)
If you need download file from Cortex Application
from pycortexintelligence import functions as cortexfunctions
# DataFormat are Optionally defined
dafault_data_format = {
"charset": "UTF-8",
"quote": "\"",
"escape": "\/\/",
"delimiter": ",",
}
# Select the headers from file
columns = ['Name of Column A', 'Name of Column B']
# OPTIONAL Filters
filters = [
['Name of Column A', 'Value'],
['Name of Column A', 'Value1|Value2|Value3'],
['Name of Column B', 'dd/mm/YYYY'],
['Name of Column B', 'dd/mm/YYYY-dd/mm/YYYY'],
]
# Download from Cortex
cortexfunctions.download_from_cortex(
cubo_id='',
file_path='',
plataform_url='CLIENT.cortex-intelligence.com',
username='',
password='',
data_format=dafault_data_format,
columns=columns,
filters=filters,
)
Validating downloaded data from platform.
Now download_from_cortex function returns a variable with Content-Rows from the response header
content_rows = cortexfunctions.download_from_cortex(
...
)
CLI Usage
cortex.py --help
Examples
cortex.py startproject --name "Project Name" --sname safe_project_name
How to Contribute
Developers
Developers can access our development manual by clicking here.
Community
You can create a new Issue clicking here, and we will start a description about the reported Bug or Feature.
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