Skip to main content

Opinionated Autodesk Shotgun/ShotGrid API Wrapper.

Project description

konbini

おまえはもうショットいる。なに?!

Opinionated wrapper for Autodesk Shotgun I mean ShotGrid Python API because the API usage requirements is 便利じゃないでしょう?

コンビニね~ As there is an existing PyPI project using konbini name, this repo project name on PyPI will be konbinine.

How to Use

For Python 3.8 and newer! While Autodesk made shotgun_api3 to be compatible with Python 2 and 3, konbinine uses dataclass that is only available in Python 3.7 onwards. Starting with v0.1.6, Python 3.8 will be the minimum version due to the usage of TypedDict.

konbinine is designed to be used with web framework (such as Django, Flask, etc.) that interacts with ShotGrid. This library has not been tested inside Digital Content Creation (DCC) software such as Maya, 3ds Max or Houdini.

Technically it should just work but that is outside the scope of this library.

New Project

First time setup

  1. Add konbinine to your project's requirements.txt.
  2. ???
  3. Profit (in improving code readability and debugging)

Using konbinine

I recommend configuring the environment variables before running the following code.

Set it using your .env file or through the shell session etc.

# if your studio subscribed to Shotgun prior to the ShotGrid rename, the URL should
# looks like https://yourstudioname.shotgunstudio.com or something 
KONBINI_BASE_URL=https://yourstudioname.shotgrid.autodesk.com
KONBINI_SCRIPT_NAME=YOURSHOTGRIDAPISCRIPTNAMEHERE
KONBINI_API_KEY=YOURSHOTGRIDAPIKEYHERE
from konbinine import Konbini
from konbinine.enums import SgEntity

kon = Konbini()
booking_schemas = kon.get_sg_entity_schema_fields(SgEntity.BOOKING)
# whatever booking schemas results here

Existing Project that Uses shotgun_api3

You will need to... rewrite/refactor your code to use konbinine! Pretty much the main reason why konbinine was created is to improve the Developer Experience (DX) when interacting with ShotGrid.

Quickstart for Developers

pip install -r requirements.txt

Extending konbinine

Coming soon!

TODO

  1. Implement Sequence dataclass
  2. Handle Image/Movie upload gracefully (currently for Project entity only)

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

konbinine-0.3.0.tar.gz (19.2 kB view details)

Uploaded Source

Built Distribution

konbinine-0.3.0-py3-none-any.whl (19.1 kB view details)

Uploaded Python 3

File details

Details for the file konbinine-0.3.0.tar.gz.

File metadata

  • Download URL: konbinine-0.3.0.tar.gz
  • Upload date:
  • Size: 19.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for konbinine-0.3.0.tar.gz
Algorithm Hash digest
SHA256 f11dcde82fb518d38500f11513f55dd63c05b5d79d381a8352d10e1d8c74c843
MD5 4ff1de4d721a128b64ed8109f39f492e
BLAKE2b-256 de18430371663ac6417996510d50bae0a1b0e1936590861d1dc5d4ed03c9bc7c

See more details on using hashes here.

File details

Details for the file konbinine-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: konbinine-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 19.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for konbinine-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 24f4bfb93f8c6b4a9e53e767e9b9b368589f96f1c1372e46b672ad943ea69841
MD5 b24beb210290587c8beea04ec7978514
BLAKE2b-256 e015d2ffa93f5f0aa9c785e6c0b83baaa7c8d6a0744af07932fec28902a2db95

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