Skip to main content

A data layer for In Layers Core. (in-layers-core). Part of the Node in Layers ecosystem

Project description

In Layers Data

A data layer for the In Layers Core framework.

NOTE: There are no explicit dependencies on any database. To use a specific database you must install it in your own system. These databases are "imported in" as the databases are actually used at runtime.

How To Use

  1. Install in-layers-data
  2. Set "in_layers_data" to the in_layers_core.models.model_backend property
  3. Add in_layers_data configuration to your config
  4. Install database libraries to use. Example: pymongo or boto3

Configuration Example

# config_base.py
from box import Box
def get_base_config():
    return Box(
        ...,
        in_layers_core=Box(
            ...
            models=Box(
                model_backend="in_layers_data",
            )
        ),
        in_layers_data=Box(
            default=Box(
                type="mongodb"
                # Connection information here
            ),
            # Optional: Set "domain" or "domain.ModelPluralNames" to a specific database configuration.
            # model_to_backend=Box(
            #     "domain.ModelPluralNames"=Box(
            #         type="mongodb",
            #         host="different-host"
            #     )
            # )
        )
    )

Key Features

  • Drop in, Swappable Databases
  • Multi-database support
  • Low dependencies

Databases Supported

  • Mongodb
  • Dynamodb

Database Info

Mongo

Mongodb requires pymongo

Dynamodb

Dynamodb requires boto3

Important

Dynamodb is very poor at performing search queries. While this is implemented, it is not-recommended for use. Instead use the retrieve.

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

in_layers_data-0.4.0.tar.gz (11.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

in_layers_data-0.4.0-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file in_layers_data-0.4.0.tar.gz.

File metadata

  • Download URL: in_layers_data-0.4.0.tar.gz
  • Upload date:
  • Size: 11.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for in_layers_data-0.4.0.tar.gz
Algorithm Hash digest
SHA256 99a90470862b7bf9dadf0e0b3af8417c41b32993c23d3068c5e40416bdd14cef
MD5 35e28fa60daa905ee231f986bb2d40dc
BLAKE2b-256 8c93e85cc54c7b600feba269ce58e96ab2bba9bf176cd17e23a6beb5d159d8ca

See more details on using hashes here.

File details

Details for the file in_layers_data-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: in_layers_data-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 13.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for in_layers_data-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2090feb8f4395fda4a648d37ec0cfe89255fbcf395502389f760147d5aaeee2b
MD5 48b1ead605843296291106683096c4dc
BLAKE2b-256 1aeeca8865a202daefeae0202cd5b13c74f85df64724780e13ae00cecf027a2e

See more details on using hashes here.

Supported by

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