nemo-library 1.0.5

A library for uploading data to and downloading reports from NEMO cloud solution

NEMO Library

This library helps you with access to NEMO APIs

Installation

pip install nemo_library

Sources

please find all sources on github: https://github.com/H3rm1nat0r/nemo_library

configuration

please create a file “config.ini”. This is an example for the content:

[nemo_library]
nemo_url = https://enter.nemo-ai.com
userid = <your userid>
password = <your password>

usage

from nemo_library import NemoLibrary

nl = NemoLibrary()
nl.UploadFile(filename="test.csv")
df = nl.LoadReport(report_guid="b82cfed8-81a7-44e0-b3da-c76454540697")

LoadReport method

Load a report from NEMO and return this as pandas dataframe

report_guid

This methode takes 1 mandatory parameter, the report_guid. You can find “your” guid in NEMO meta data. Just open the definition of the report in meta data and copy the GUID from your browser URL.

The report “(SAMPLE) Replenishment Time Analysis Purchased Parts” for example has this URL: https://enter.nemo-ai.com/nemo/metadata/report/b82cfed8-81a7-44e0-b3da-c76454540697 and thus the GUID you need is then “b82cfed8-81a7-44e0-b3da-c76454540697”

max_pages

By default all pages from the report are loaded. You can optionally restrict the amount of data by providing max_pages parameter and you’ll get not more than this number of pages (usually 1 page holds 20 records)

Contributions

Contributions are welcome! If you would like to suggest improvements or have found a bug, please open an issue or submit a pull request.

License

This project is released under the Unlicense. You can find the full text of the Unlicense in the UNLICENSE file. This means that the code is released into the public domain, and you are free to use, modify, distribute, and do whatever you want with it, without any restrictions or requirements.