Skip to main content

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")

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

adobepy-0.4.1.tar.gz (64.1 kB view details)

Uploaded Source

Built Distribution

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

adobepy-0.4.1-py3-none-any.whl (70.2 kB view details)

Uploaded Python 3

File details

Details for the file adobepy-0.4.1.tar.gz.

File metadata

  • Download URL: adobepy-0.4.1.tar.gz
  • Upload date:
  • Size: 64.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for adobepy-0.4.1.tar.gz
Algorithm Hash digest
SHA256 e2a85d2fa5066e2f383ada65aa8290416ed989598bd2a3ec89e78e1fa47cbf0d
MD5 331398cbccdec4440bd9b21a58e3b6fc
BLAKE2b-256 31da5c93dbcf18d0439823c7cbd6d0e5d5ab114c5c02874daff44dd0552fe0f1

See more details on using hashes here.

Provenance

The following attestation bundles were made for adobepy-0.4.1.tar.gz:

Publisher: release-please.yml on dcc-mcp/adobepy

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file adobepy-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: adobepy-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 70.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for adobepy-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b5e5c9ac5ce8a6dec2e9e7881af0cbf63924cd1789f9d027ce4879856cf4f779
MD5 debf3dadecb9601279e45cde88b46007
BLAKE2b-256 c6e0aa62152081274fdb25b29a93f9952ffff417e26729c9f168a9f16a533b19

See more details on using hashes here.

Provenance

The following attestation bundles were made for adobepy-0.4.1-py3-none-any.whl:

Publisher: release-please.yml on dcc-mcp/adobepy

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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