BGraph is a tool designed to generate dependencies graphs from Android.bp soong files.

Last update: Dec 19, 2022

Related tags

Overview

BGraph

BGraph is a tool designed to generate dependencies graphs from Android.bp soong files.

Overview

BGraph (for Build-Graphs) is a project aimed at create build graphs from blueprints in AOSP and querying those graphs.

In short, this project builds/uses Unified Dependency Graph for the Android Open Source Project by parsing and linking modules defined in the Android build system Soong.

Use-cases

You should use this tool if you want to find:

all the dependencies of a source file in AOSP;
all the sources involved in the building of a target in AOSP;
common dependencies between two targets.

Usage

% bgraph --help                                                       
Usage: bgraph [OPTIONS] COMMAND [ARGS]...

  BGraph - generate and query build dependency graphes.

  BGraph is used to manipulate build dependency graphs generated from
  blueprint files. The main commands are:

      - generate : used to generates multiples graphs

      - query: used to query a previously generated graph

  To get more help, see the online documentation.

Options:
  -v, --verbose         Activate verbose output  [default: False]
  --install-completion  Install completion for the current shell.
  --show-completion     Show completion for the current shell, to copy it or
                        customize the installation.

  --help                Show this message and exit.

Commands:
  generate         Generate BGraph's from a mirror dir.
  generate-single  Generate a BGraph from a branch.
  list             List the BGraph already generated.
  query            Query a BGraph.

Installation

Using poetry

poetry install bgraph

Using pip

pip install bgraph

Using docker

docker build -f docker/Dockerfile -t bgraph .

This will create a container with git, repo and bgraph and will take some time (because it compiles git from the source).

See Docker for more instructions.

Prerequisites

python3.8

Optional dependencies for the builder:

repo
git (>25): since we're using partial-checkouts, a modern version of git is required
at least 1Go of free disk space
(Optional: AOSP mirror)

See Building from AOSP for more details.

Documentation

Licence

Apache-2

Contributing

Contributions are always welcome!

See the Contribution documentation for details on all you need to know about contributing.

Authors

dm ([email protected])

You might also like...

A simple interpreted language for creating basic mathematical graphs.

graphr Introduction graphr is a small language written to create basic mathematical graphs. It is an interpreted language written in python and essent

2 Dec 26, 2021

Mapomatic - Automatic mapping of compiled circuits to low-noise sub-graphs

mapomatic Automatic mapping of compiled circuits to low-noise sub-graphs Overvie

27 Nov 6, 2022

Kglab - an abstraction layer in Python for building knowledge graphs

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

466 Jan 9, 2023

The visual framework is designed on the idea of module and implemented by mixin method

Visual Framework The visual framework is designed on the idea of module and implemented by mixin method. Its biggest feature is the mixins module whic

9 Sep 19, 2022

Python script to generate a visualization of various sorting algorithms, image or video.

sorting_algo_visualizer Python script to generate a visualization of various sorting algorithms, image or video.

146 Nov 12, 2022

Generate a roam research like Network Graph view from your Notion pages.

Notion Graph View Export Notion pages to a Roam Research like graph view.

214 Jan 7, 2023

Generate a 3D Skyline in STL format and a OpenSCAD file from Gitlab contributions

Your Gitlab's contributions in a 3D Skyline gitlab-skyline is a Python command to generate a skyline figure from Gitlab contributions as Github did at

70 Dec 22, 2022

script to generate HeN ipfs app exports of GLSL shaders

HeNerator A simple script to generate HeN ipfs app exports from any frag shader created with: GlslViewer GlslEditor The Book of Shaders glslCanvas VS

22 Dec 21, 2022

A script written in Python that generate output custom color (HEX or RGB input to x1b hexadecimal)

ColorShell ─ 1.5 Planned for v2: setup.sh for setup alias This script converts HEX and RGB code to x1b x1b is code for colorize outputs, works on ou

4 Oct 31, 2021

Comments

Unable to generate

Generate

Steps to reproduce

mkdir test && \
cd test && \
mkdir bgraphs && \
python3.8 -m venv venv && \
source venv/bin/activate && \
pip install bgraph && \
bgraph generate bgraphs 'https://android.googlesource.com/'

Error Log

2021-12-13 16:39:17,862 - bgraph.builder.builder - INFO - Found 1174 branches
2021-12-13 16:39:17,863 - bgraph.builder.builder - INFO - Start composing for android-1.6_r1.1_
2021-12-13 16:39:27,625 - bgraph.builder.builder - ERROR - Unable to init the repository. Verify that the mirror is correct.
2021-12-13 16:39:27,625 - bgraph.builder.builder - INFO - Start composing for android-1.6_r1.2_
2021-12-13 16:39:41,370 - bgraph.builder.builder - ERROR - Unable to init the repository. Verify that the mirror is correct.
2021-12-13 16:39:41,370 - bgraph.builder.builder - INFO - Start composing for android-1.6_r1.3_

...

opened by seanybaggins 1

BGraph is a tool designed to generate dependencies graphs from Android.bp soong files.

Related tags

Overview

BGraph

Overview

Use-cases

Usage

Installation

Using poetry

Using pip

Using docker

Prerequisites

Optional dependencies for the builder:

Documentation

Licence

Contributing

Authors

You might also like...

A simple interpreted language for creating basic mathematical graphs.

Mapomatic - Automatic mapping of compiled circuits to low-noise sub-graphs

Kglab - an abstraction layer in Python for building knowledge graphs

The visual framework is designed on the idea of module and implemented by mixin method

Python script to generate a visualization of various sorting algorithms, image or video.

Generate a roam research like Network Graph view from your Notion pages.

Generate a 3D Skyline in STL format and a OpenSCAD file from Gitlab contributions

script to generate HeN ipfs app exports of GLSL shaders

A script written in Python that generate output custom color (HEX or RGB input to x1b hexadecimal)

Comments

Unable to generate

Generate

Steps to reproduce

Error Log

Releases(v0.1.0)

v0.1.0(May 31, 2021)

Owner

Quarkslab

nvitop, an interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management

A tool for creating Toontown-style nametags in Panda3D

This is a Boids Simulation, written in Python with Pygame.

Learn Data Science with focus on adding value with the most efficient tech stack.

Graphing communities on Twitch.tv in a visually intuitive way

University of Missouri - Kansas City: CS451R: Capstone

web application for flight log analysis & review

Lightweight data validation and adaptation Python library.

Make visual music sheets for thatskygame (graphical representations of the Sky keyboard)

Some method of processing point cloud

Generating interfaces(CLI, Qt GUI, Dash web app) from a Python function.

A System Metrics Monitoring Tool Built using Python3 , rabbitmq,Grafana and InfluxDB. Setup using docker compose. Use to monitor system performance with graphical interface of grafana , storage of influxdb and message queuing of rabbitmq

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

Interactive Data Visualization in the browser, from Python

Scientific measurement library for instruments, experiments, and live-plotting

Plotting library for IPython/Jupyter notebooks

Automate the case review on legal case documents and find the most critical cases using network analysis

The visual framework is designed on the idea of module and implemented by mixin method

Simple, realtime visualization of neural network training performance.