Skip to main content

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

Project description

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
tenant = <your tenant>
userid = <your userid>
password = <your password>
environment = [prod|dev|demo]

Methods

Projects

getProjectList method

Return list of projects (as pandas Dataframe)

from nemo_library import NemoLibrary

nl = NemoLibrary()
df = nl.getProjectList()

ProjectProperty method

Get a project property

from nemo_library import NemoLibrary

nl = NemoLibrary()
val = nl.ProjectProperty(projectname=None,propertyname="ExpDateTo")

getImportedColumns method

Get list if imported columns of a project

from nemo_library import NemoLibrary
import pandas as pd

nl = NemoLibrary()
df = nl.getImportedColumns(projectname="0 SNR")

setMetadataSortOrder method

Set sort order of fields in a project

from nemo_library import NemoLibrary
import pandas as pd

# import field order from infozoom meta data export
dfsort = pd.read_csv("Metadaten_AUTODATA_SORT_1.csv",delimiter=";")
fieldlist = dfsort["Importname"].to_list()

nl = NemoLibrary()
nl.setMetadataSortOrder(projectname="AUTODATA",fields=fieldlist)

ReUploadFile method

ReUpload a CSV file into an existing project

from nemo_library import NemoLibrary

nl = NemoLibrary()
nl.ReUploadFile(projectname="21 CRM", filename="./csv/hubspot.csv")

Reports

LoadReport method

Load a report from NEMO and return this as pandas dataframe

from nemo_library import NemoLibrary

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

project_id

Optional parameter. If you want to get reports for non-default ERP projects. Please provide the project GUID (you can retrieve them by running getProjectList)

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nemo_library-1.0.26.tar.gz (14.7 kB view details)

Uploaded Source

Built Distribution

nemo_library-1.0.26-py3-none-any.whl (13.4 kB view details)

Uploaded Python 3

File details

Details for the file nemo_library-1.0.26.tar.gz.

File metadata

  • Download URL: nemo_library-1.0.26.tar.gz
  • Upload date:
  • Size: 14.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for nemo_library-1.0.26.tar.gz
Algorithm Hash digest
SHA256 be1aa07d87a294465d2db7a5959fe7cdf712bbf42112d251854b7eaca444be99
MD5 9735fd9fb221bf26c2cc0cef0c235e1f
BLAKE2b-256 e1c2b4d49c1cbdf40d9a65f7f5c9cfa6e9f840d3ec25e3839aea46099aee751d

See more details on using hashes here.

Provenance

File details

Details for the file nemo_library-1.0.26-py3-none-any.whl.

File metadata

File hashes

Hashes for nemo_library-1.0.26-py3-none-any.whl
Algorithm Hash digest
SHA256 aa54ee3949c2b1494d1647b7005cafe8ffb396eee8e330bdeb4e3a9384e33942
MD5 94fccafc0ccf3033f14faf5b0d029b1d
BLAKE2b-256 d304ee3397e969575194593b70fe691e78384266c720f8024661d20525232ebb

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page