Skip to main content

Visual graph editor, inspector, and debugger for gen-dsp signal graphs

Project description

dsp-graph

Visual graph editor, inspector, and debugger for gen-dsp signal-processing graphs.

Overview

dsp-graph provides a web UI (React + React Flow) backed by a Python server (FastAPI) for loading, visualizing, simulating, optimizing, building, and inspecting DSP signal graphs defined with gen-dsp's graph DSL.

Features:

  • Load graphs from JSON or .gdsp DSL source (toolbar or drag-and-drop), with localStorage auto-save/restore
  • .gdsp editor with syntax highlighting, autocomplete, snippets, go-to-definition, inline error markers, and debounced live preview
  • Interactive React Flow canvas (pan, zoom, minimap) with ELK auto-layout and auto fit-to-view
  • Canvas editing: add/delete/duplicate nodes and draw/replace/delete edges via per-input handles, with undo/redo
  • Validation overlays: per-node error/warning borders and feedback-cycle highlighting
  • Node inspector showing all properties
  • Stateful, streaming simulation: live parameter sliders, "step N more samples", peek-value overlays, oscilloscope waveform and FFT spectrum views, with a configurable sample rate
  • Multi-pass and per-pass graph optimization with before/after comparison
  • C++ code generation preview with copy/download
  • Binary plugin build for multiple platforms (CLAP, VST3, AU, LV2, etc.), with batch build + zip download
  • Content-addressed build cache (avoids recompilation for unchanged graphs)
  • Graphviz DOT and SVG export; round-trip export back to graph JSON and .gdsp

Installation

pip install dsp-graph

Or from source:

git clone https://github.com/shakfu/dsp-graph.git
cd dsp-graph
make install-dev
make frontend-build

Quick Start

dsp-graph serve

Starts the server at http://127.0.0.1:8765. Open that URL in a browser, then load a gen-dsp graph JSON or .gdsp file via the toolbar or by dragging it onto the window. Use --open to auto-open the browser on start.

CLI Options

dsp-graph serve [--host HOST] [--port PORT] [--reload] [--open]
  • --host: Bind address (default: 127.0.0.1)
  • --port: Port (default: 8765)
  • --reload: Auto-reload on code changes
  • --open: Open browser on start

Security model

dsp-graph is designed for single-user, localhost use and binds to 127.0.0.1 by default. The build endpoints generate and compile native code on the host, so the server should not be exposed to untrusted networks. As a safeguard against cross-origin requests from other browser tabs, all state-changing (POST/PUT/PATCH/DELETE) /api requests require a per-process session token (GET /api/session), which the bundled UI fetches automatically. The server also runs a single worker; its session and cache state are in-process.

Development

# Install dev dependencies
make install-dev

# Run backend tests
make test

# Install frontend dependencies
make frontend-install

# Run frontend dev server (hot reload, proxies /api to backend)
make frontend-dev

# Build frontend (outputs to src/dsp_graph/static/)
make frontend-build

# Run frontend tests (Vitest)
cd frontend && npm test

# Run full QA (test + lint + typecheck + format)
make qa

# Start server with auto-reload
make dev

CI (.github/workflows/ci.yml) runs the backend lint/format/type-check/tests (Python 3.10 and 3.13) and the frontend tests + build on every push and pull request.

Architecture

Backend (Python)

  • convert.py -- Core Graph <-> ReactFlow conversion layer
  • server.py -- FastAPI app with SPA static serving
  • security.py -- Session-token (anti-CSRF) and body-size middleware
  • cli.py -- CLI entry point (dsp-graph serve)
  • cache.py -- Content-addressed disk cache for build artifacts
  • api/graph.py -- Graph load/validate/export/catalog endpoints
  • api/simulate.py -- Per-sample simulation endpoint
  • api/optimize.py -- Multi-pass optimization endpoint
  • api/compile.py -- C++ code generation endpoint
  • api/generate.py -- Project generation (source files, zip download, platform listing)
  • api/build.py -- Binary build, batch build, and build cache management
  • api/layout.py -- Auto-layout endpoint

Frontend (React + TypeScript)

  • React Flow (xyflow) for graph visualization
  • Zustand for state management
  • CodeMirror editor with custom .gdsp language support
  • Custom node types: input, output, param, dsp_node
  • Vite build, outputs to src/dsp_graph/static/

API Endpoints

FastAPI also serves interactive docs at /docs (Swagger UI) and /redoc.

Endpoint Method Description
/api/session GET Per-process session token (required header for mutating requests)
/api/graph/load/json POST Load Graph JSON -> ReactFlow
/api/graph/load/gdsp POST Parse .gdsp source -> ReactFlow
/api/graph/validate POST Validate a Graph (structured errors)
/api/graph/export/json POST ReactFlow -> Graph JSON
/api/graph/export/gdsp POST ReactFlow -> .gdsp source
/api/graph/node-types GET Node type catalog + colors
/api/graph/dot POST Graph -> Graphviz DOT
/api/simulate POST Run per-sample simulation (starts a session)
/api/simulate/continue POST Step N more samples on an existing session
/api/simulate/param POST Set a parameter on a session
/api/simulate/peek POST Read peek-node values from a session
/api/simulate/reset POST Reset session state to initial
/api/simulate/buffer/get POST Read a buffer's contents
/api/simulate/buffer/set POST Write a buffer's contents
/api/optimize POST Optimize graph, all passes (before/after)
/api/optimize/pass POST Apply a single named optimization pass
/api/compile POST Graph -> C++ source
/api/layout POST Auto-layout ReactFlow nodes
/api/generate POST Generate project source files
/api/generate/zip POST Generate project as zip download
/api/generate/platforms GET List supported target platforms (host-filtered)
/api/build POST Compile graph to binary plugin
/api/build/binary POST Compile and download binary
/api/build/batch POST Build for multiple platforms
/api/build/batch/{id}/zip GET Download batch build as zip
/api/build/cache DELETE Clear build cache
/api/build/cache/info GET Build cache statistics

License

MIT

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

dsp_graph-0.1.9.tar.gz (798.0 kB view details)

Uploaded Source

Built Distribution

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

dsp_graph-0.1.9-py3-none-any.whl (804.6 kB view details)

Uploaded Python 3

File details

Details for the file dsp_graph-0.1.9.tar.gz.

File metadata

  • Download URL: dsp_graph-0.1.9.tar.gz
  • Upload date:
  • Size: 798.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for dsp_graph-0.1.9.tar.gz
Algorithm Hash digest
SHA256 21da54e3a26b8005f75c2fd409996f6733bbc038bef5ffa5938f99f660983a95
MD5 f9fb6e2281741b839a1659e63b0ccaa5
BLAKE2b-256 a62bbed4dc283cee3b4e5bdfb9fa02d81f9e0f8006732f6d18b75b0f04891107

See more details on using hashes here.

File details

Details for the file dsp_graph-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: dsp_graph-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 804.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for dsp_graph-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 7c183de7371375f8306bb36469b6161242724c2bac9caf7a983520ffc44641d3
MD5 84c378745aaef9d7e2a7cb66774ff0ef
BLAKE2b-256 fa15a3cdab44cc9b10667129b6c111c5e011fca462e204bb86e35771fa05007c

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