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An ORM for Autodesk Shotgrid

Project description

sgchemist

Tests codecov Ruff Checked with mypy

An Object Relation Mapper for Autodesk Flow Production Tracker (previously Shotgrid and Shotgun) inspired by SQLAlchemy.

Declaring entities

You can declare all the entities and fields using a dataclass like structure:

from __future__ import annotations

from sgchemist.orm import SgBaseEntity
from sgchemist.orm import TextField
from sgchemist.orm import EntityField
from sgchemist.orm import MultiEntityField


class SgEntity(SgBaseEntity):
    """Base class for all the entities."""

    
class Project(SgEntity):
    __sg_type__ = "Project"

    name: TextField = TextField(name="code")
    title: TextField
    assets: MultiEntityField[Asset]


class Asset(SgEntity):
    __sg_type__ = "Asset"

    name: TextField = TextField(name="code")
    description: TextField
    project: EntityField[Project]

Query building

To make a query using sgchemist, you need to use two elements:

  • an engine: responsible for communicating with your Shotgrid instance. sgchemist provides an engine implementation using the shotgun-api3.
  • and a session: responsible for converting raw data from the engine back to objects. In case of creation and update querying it also implements the unit of work pattern.
from shotgun_api3 import Shotgun
from sgchemist.orm import ShotgunAPIEngine
from sgchemist.orm import select
from sgchemist.orm import Session

from myentities import Asset, Project

# Create the engine
shotgun = Shotgun("https://mysite.shotgunstudio.com", script_name="xyz", api_key="abc")
engine = ShotgunAPIEngine(shotgun)

# Create the session
session = Session(engine)

# Create the query
query = select(Asset).where(Asset.project.f(Project.name).eq("myproject"))

# Perform the query using the session
assets = list(session.exec(query))

# Update the description of the assets
with session:
    for asset in assets:
        asset.description = "This is an awesome asset"
        session.add(asset)
# Assets are now updated

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