Skip to main content

No project description provided

Project description

Data Snack - Dynamic entity

About

Used to dynamically load data-snack Entity objects from json schema. Especially useful for complex dataset with many fields.

Install

Data Snack can be easily installed using pypi repository.

pip install data_snack_dynamic_entity

Usage

1. Define Entity template

First you need to define a dictionary containing the template - a configuration for your Entity type. Template should contain:

  • the name of the new Entity type and its properties
  • each property should have:
    • type - type of the field
    • default - default value (optional property)
    • optional - true if the field is optional (optional property)

Notice that your template can be saved in any file of your choosing. Just make sure it's later parsed to a dictionary in the right format.

The template is defined using following schema: src/data_snack_dynamic_entity/entityTemplates.schema.json.

Example

{
    "Car": {
        "properties": {
            "name": {
                "type": "string"
            },
            "cost": {
                "type": "float",
                "default": 10.0,
                "optional": True
            }
        }
    }
}

2. Load the template and create new types

Now you are ready to create entities based on your template:

from data_snack_dynamic_entity.factory import load_entities

entities = load_entities(templates=your_config)

After that entities will contain a dictionary in the following format:

{
    "entity_name": EntityType
}

Contact

Plugin was created by the Data Science team from Webinterpret.

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

data_snack_dynamic_entity-0.0.1.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file data_snack_dynamic_entity-0.0.1.tar.gz.

File metadata

File hashes

Hashes for data_snack_dynamic_entity-0.0.1.tar.gz
Algorithm Hash digest
SHA256 e39c570b63e7b67452bf7afc3f8b49654fb617889fd90091ecdcb271421ca132
MD5 9e95678aeaf0c93a0e8052a26acefc48
BLAKE2b-256 a0abc2723575b9918892e048cbe223a472f74fbdf612b4502f29b20ac90d5fc1

See more details on using hashes here.

File details

Details for the file data_snack_dynamic_entity-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for data_snack_dynamic_entity-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 dfc22f7ebd693b78da0a2280b731cfcc6e0492097aad667018543c51cd308ff9
MD5 06deadbcc85a2255595bd99b6c9df1ed
BLAKE2b-256 d81fe7d867f1a1e2e53811c8a64f3109872eae359cd023dce76af396ad9f72e6

See more details on using hashes here.

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