See our previous post Inventree Python API: Minimal API connect example using YAML config for our method of creating the api object using a YAML config file!

The following code finds a part category called ICs and creates a new part in that category.

First, we need to fetch the part categories, this is from our previous post Inventree Python API: Minimal API connect example using YAML config:

from inventree.part import PartCategory

all_categories = PartCategory.list(api)

# Dict of part categories by name
# (e.g. 'OpAmps')
part_categories_by_name = {
    category["name"]: category
    for category in all_categories
}
# Dict of part categories by public key (e.g. 7)
part_categories_by_pk = {
    category.pk: category
    for category in all_categories
}
# Dict of part categories by hierarchical path
# (e.g. 'Electronics-Components/ICs/OpAmps')
part_categories_by_pathstring = {
    category.pathstring: category
    for category in all_categories
}

Now let’s select the correct category:

ics = part_categories_by_name['ICs']

Now it’s finally time to create the part:

from inventree.part import Part

new_part = Part.create(api, {
    'name': 'L78L33ABD',
    'description': '100mA 3.3V fixed LDO regulator, SOIC-8',
    'category': ics.pk
})

You can read the primary key (pk) for the newly generated part using

new_part.pk

See our previous post Inventree Python API: Minimal API connect example using YAML config for our method of creating the api object using a YAML config file!

from inventree.part import PartCategory

all_categories = PartCategory.list(api)

# Dict of part categories by name
# (e.g. 'OpAmps')
part_categories_by_name = {
    category["name"]: category
    for category in all_categories
}
# Dict of part categories by public key (e.g. 7)
part_categories_by_pk = {
    category.pk: category
    for category in all_categories
}
# Dict of part categories by hierarchical path
# (e.g. 'Electronics-Components/ICs/OpAmps')
part_categories_by_pathstring = {
    category.pathstring: category
    for category in all_categories
}

Note that this code by itself does not take into account the hierarchy of the categories.

Example output

part_categories_by_name:

{'Elektronik-Komponenten': <inventree.part.PartCategory at 0x7fd735125510>,
 'ICs': <inventree.part.PartCategory at 0x7fd7356d1720>,
 'OpAmps': <inventree.part.PartCategory at 0x7fd735ead4e0>}

part_categories_by_pk:

{1: <inventree.part.PartCategory at 0x7fd7346b5db0>,
 2: <inventree.part.PartCategory at 0x7fd73438aa10>,
 3: <inventree.part.PartCategory at 0x7fd727325b40>}

part_categories_by_pathstring:

{'Elektronik-Komponenten': <inventree.part.PartCategory at 0x7fd727bd3040>,
 'Elektronik-Komponenten/ICs': <inventree.part.PartCategory at 0x7fd727bd1db0>,
 'Elektronik-Komponenten/ICs/OpAmps': <inventree.part.PartCategory at 0x7fd727bd1060>}

This example allows you to create a config file inventree.yml:

server: 'https://inventree.mydomain.com'
username: 'admin'
password: 'Chuiquu5Oqu8il5ahLoja4aecai4ee'

and then read it in Python and connect to the Inventree API:

from inventree.api import InvenTreeAPI

# Load config
import yaml

with open("inventree.yml", "r") as file:
    config = yaml.safe_load(file)
    
api = InvenTreeAPI(config["server"], username=config["username"], password=config["password"])