nemo-library 1.1.7

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
tenant = <your tenant>
userid = <your userid>
password = <your password>
environment = [prod|dev|demo]
hubspot_api_token = <your API token, if you are going to use the HubSpot adapter, blank if not used>

If you don’t want to pass userid/password in a file (which is readable to everybody that has access to the file), you can use Windows Credential Manager or MacOS key chain to store your password. Please use “nemo_library” as “Program name”. As an alternative, you can programmatically set your password by using this code

from nemo_library.sub_password_handler import *

service_name = "nemo_library"
username = "my_username"
password = "my_password"

pm = PasswordManager(service_name, username)

# Set password
pm.set_password(password)
print(f"Password for user '{username}' in service '{service_name}' has been stored.")

# Retrieve password
retrieved_password = pm.get_password()
if retrieved_password:
    print(f"The stored password for user '{username}' is: {retrieved_password}")
else:
    print(f"No password found for user '{username}' in service '{service_name}'.")

Methods

Projects

getProjectList method

Return list of projects (as pandas Dataframe)

from nemo_library import NemoLibrary

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

getProjectID method

Return internal id of project identified by given project name as shown in the NEMO UI

from nemo_library import NemoLibrary

nl = NemoLibrary()
print(nl.getProjectID(projectname="Business Processes"))

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")

Args: - projectname (str): Name of the project. - filename (str): Name of the file to be uploaded. - update_project_settings (bool, optional): Whether to update project settings after ingestion. Defaults to True. - datasource_ids (list[dict], optional): List of datasource identifiers for V3 ingestion. Defaults to None. - global_fields_mapping (list[dict], optional): Global fields mapping for V3 ingestion. Defaults to None. - version (int, optional): Version of the ingestion process (2 or 3). Defaults to 2 - trigger_only (bool, optional): Whether to trigger only without waiting for task completion. Applicable for V3. Defaults to False.

V2 uploads a file plain into the project. V3 merges the data with the Business Processes project (needs more parameters)

synchronizeCsvColsAndImportedColumns method

Sychronize columns with CSV file and NEMO meta data. This method compares the list of columns found in CSV with the list of columns defined in meta data and adds or removes missing or not-any-longer-used columns to and from meta data. For performance reasons, you should not use it on a daily base, but after changes in the source, it makes sense to call it before uploading a file.

Here’s some example code from Gunnar’s reporting

nl = NemoLibrary()
if synch_columns:
    nl.synchronizeCsvColsAndImportedColumns(
        projectname=PROJECT_NAME_SNR0,
        filename=folder_reporting_input_pa() + "/snr0_NEMO.csv",
    )
    time.sleep(120)
nl.ReUploadFile(
    projectname=PROJECT_NAME_SNR0,
    filename=folder_reporting_input_pa() + "/snr0_NEMO.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)

InfoZoom / NEMO synchronization

There are two thinkable ways of synchronization between InfoZoom and NEMO. At the moment, we support InfoZoom –> NEMO direction only. The other way is on my wish list, but not implemented yet

InfoZoom –> NEMO

When synchronizing an InfoZoom (FOX) file with NEMO, there are two thinks to think about - data: data can easily uploaded using the above mentioned “ReUploadFile” method (maybe you need to use InfoZoom batch commands to extract the data first). But it’s on my list as well to make this more automatic - meta data: this is the point, where this library is the closest to a final solution

exportMetadata

Exports metadata from an InfoZoom file using the InfoZoom executable.

from nemo_library import NemoLibrary

nl = NemoLibrary()
nl.exportMetadata(infozoomexe="C:\\Program Files (x86)\\NEMO\\InfoZoom 2025\\InfoZoom.exe",infozoomfile="D:\\temp\\SNr.fox",metadatafile="D:\\temp\\SNr.metadata.csv")

This code snipped calls exportMetadata method which itself opens InfoZoom (identified by the given executable path), then opens the given fox file, openes the metadata view and finally exports the metadata file into the given CSV file (delimiter ;, UTF-8-Format).

This is the first step needed to synchronize the FOX meta data with NEMO.

synchMetadataWithFocus

Synchronizes metadata from a given CSV file with the NEMO project metadata.

This method reads metadata from a CSV file, processes it, and synchronizes it with the metadata of a specified NEMO project. It handles the creation of groups first and then processes individual attributes.

from nemo_library import NemoLibrary

nl = NemoLibrary()
projectId = nl.getProjectID(projectname="VH0001_21_XVH001_SNrNemo")
nl.synchMetadataWithFocus(metadatafile="d:\\temp\\SNr.metadata.csv", projectId=projectId)

This code snipped gets the projectid identified by its name in NEMO and then synchronizes the meta data (exported by synchMetadataWithFocus) with NEMO.

At the moment the following pieces are synchronized - Groups (and sub groups and sub sub groups etc) - sequence of attributes (and allocation with groups)

This is a list of pieces that are currently ignored - Couples - Formulae - case statements - aggregations - this list is not complete

HubSpot

HubSpot is the very first CRM product that we support in this library. This adapter provides a method that uses the HubSpot API to extract deals and their history (deal changes as well as documented communication) and finally uploads this into a NEMO project given by it’s name.

If you want to use this, you have to enable this feature in Hubspot first. Steps: - create a private app in HubSpot (e.g. export for NEMO) - you are given an API token and a secret. Note them and enter the API token in the config.ini-file. Example:

hubspot_api_token = <your API token>

• provide read access to all objects, e.g. crm.schemas.deals.read, etc.

Then you can use the HubSpot adapter like in this example:

nl = NemoLibrary()
nl.FetchDealFromHubSpotAndUploadToNEMO(projectname="21 CRM Activities")

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.