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Python SDK and broker contracts for controlling Adobe desktop hosts through UXP and CEP bridges.

Project description

adobepy

Shared Adobe desktop communication runtime for Python tools and DCC MCP adapters. Python talks to a local Rust broker; Adobe applications run thin UXP or CEP/ExtendScript bridges.

adobepy is intended to be the common Adobe host layer for projects such as dcc-mcp-photoshop and future Adobe adapters. The public Python surface mirrors Adobe's JavaScript DOM where possible, while adding Pythonic aliases for agent and script ergonomics.

Implemented pieces:

  • Rust adobepy CLI with broker, doctor, install-bridge, and repl.
  • Local JSON-RPC broker with per-session token, target, timeout, and capability gates.
  • Python SDK under adobe.core, adobe.raw, adobe.photoshop, adobe.indesign, adobe.premiere, adobe.after_effects, and adobe.illustrator.
  • Optional DCC MCP result helpers under adobe.dcc_mcp for adapter skill code.
  • UXP bridge templates for Photoshop, InDesign, and Premiere that dispatch to host APIs and broker raw JavaScript escape hatches.
  • CEP bridge templates for After Effects and Illustrator.
  • IR validation, proxy-aware .pyi stub generation, and stub/runtime drift checks.
  • vx just package distribution workflow.

Validate everything:

npm install
npm run test:all

The full test suite type-checks bridge code, builds and exercises UXP/CEP bundles with mocked host runtimes, validates IR contracts, checks Python coverage, and runs Rust workspace tests.

Python support starts at 3.8. The current SDK wheel is pure Python; any future native Python extension must publish cp38-abi3-* wheels rather than per-minor-version wheels.

Build a redistributable Windows package:

vx just package

The archive is written to dist/adobepy-0.1.0-windows-x64.zip with a sibling SHA256 file. Usage and packaging notes are in docs/usage.md and docs/distribution-contract.md. Architecture boundaries and Adobe API source tracking are documented in docs/architecture.md, docs/api-sources.md, and docs/dcc-mcp-integration.md.

Python facade example:

from adobe.photoshop import Photoshop

app = Photoshop()
for layer in app.activeLayers:
    print(layer.name)

doc = app.activeDocument
doc.selection.select_rectangle({"top": 10, "left": 10, "bottom": 256, "right": 256})
for channel in doc.channels:
    print(channel.name)

text = app.activeText
if text:
    text.set_contents("Hello from Python")
    text.character_style.update(size=36, tracking=20)
    text.paragraph_style.update(justification="center")

layer = app.activeLayer
if layer:
    layer.filters.apply_gaussian_blur(2)
    layer.smart_object.convert_to_smart_object()

doc.exports.jpg_high("C:/renders/demo.jpg")

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