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A parallel tooling driver based on compilation database

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Panda - On Top of Bear

Panda is a compilation-independent tooling driver for pipelining compilers and tools in parallel based on the JSON compilation database. It allows you to execute various actions on specific files by replaying the compilation process, such as generating the LLVM Bitcode with Clang and running the Clang Static Analyzer to check the given project.

Since all dependencies are generated during compilation, the tooling process does not need to follow compilation dependency relations. Scheduling actions independently from compilation, Panda can take full advantage of the system resources to accelerate the tool execution and pipeline dependent actions that are not schedulable with one execution pass during compilation.

Installation

Panda is a standalone Python script. You can install it by directly downloading file panda from this repo.

$ curl -fsSL https://github.com/Snape3058/panda/raw/main/panda | sudo tee /usr/bin/panda >/dev/null
$ sudo chmod +x /usr/bin/panda

Usage

Executing panda by providing the actions to be executed and number of jobs in parallel.

$ panda <actions> [-j JOBS] [-f CDB] [-o OUTPUT] [options]

The built-in actions are composed of compilation database actions, which can generate output directly from the compilation database, and tooling actions invoking compilers and tools. These actions can cover most scenes of executing analyzers and generating desired inputs for analyzers.

  • Example 1: Generating external function map and invocation list to path /tmp/csa-ctu-scan under a concurrency of 16 processes.
$ panda -YM -j 16 -o /tmp/csa-ctu-scan
  • Example 2: Executing a customized plugin description /tmp/check/action.json and store output to path /tmp/check without parallelization.
$ panda --plugin /tmp/check/action.json -o /tmp/check

Built-in Compilation Database Actions

The compilation database actions transform the input compilation database to generate the output file, or summarize the output of other tooling actions.

  • Generate input file list (-L or --gen-input-file-list): a list of all unique files with absolute path.
  • Generate source file list (-F or --gen-source-file-list): a list of all unique source files and the header files included.
  • Generate invocation list (-Y or --gen-invocation-list) for Cross Translation Unit Analysis of the Clang Static Analyzer under on-demand-parsing strategy.
  • Generate external function map (-M or --gen-extdef-mapping) for Cross Translation Unit Analysis of the Clang Static Analyzer under on-demand-parsing strategy.
  • Generate external function map (-P or --gen-extdef-mapping-ast) for Cross Translation Unit Analysis of the Clang Static Analyzer under AST-loading strategy.

Built-in Compiler Actions

The compiler actions mainly generate inputs in desired formats for different analyzers.

  • Test command line arguments and source file syntax (-X or --syntax): compiler action -fsyntax-only -Wall
  • Re-compile the source file (-C or --compile): compiler action -c
  • Generate preprocessed source file dump (-E or --preprocess): compiler action -E
  • Generate Clang PCH format AST dump (-A or --gen-ast): clang compiler action -emit-ast
  • Generate LLVM Bitcode in binary format (-B or --gen-bc): clang compiler action -emit-llvm
  • Generate LLVM Bitcode in text cormat (-R or --gen-ll): clang compiler action -emit-llvm -S
  • Generate assembly dump (-S or --gen-asm): compiler action -S
  • Generate dependency description dump (-D or --gen-dep): compiler action -M
  • Execute Clang Static Analyzer without Cross Translation Unit Analysis (--analysis no-ctu)

Built-in Tooling Actions

The tooling actions mainly invoke Clang AST based tools.

  • Generating external function map (as mentioned above)
  • Execute Clang Static Analyzer with Cross Translation Unit Analysis activated (--analysis ctu)

Action Plugins

Users can execute customized compiler and tooling actions with plugins defined with an action description in JSON format. In the description, field comment is a string for commenting the description, field type determines the type of the action (compiler or tooling action), and object action defines the action to be executed.

  • Example compiler action of generating dependency files (option -D or --gen-dep).
{
    "comment": "Example plugin for Panda driver.",
    "type": "CompilerAction",
    "action": {
        "title": "Generating dependency file",
        "args": ["-fsyntax-only", "-w", "-M"],
        "extname": ".d",
        "outopt": "-MF"
    }
}

For a compiler action, object action has four fields. Field title defines the prompt string printed during executing the action. Field args is a list of command line arguments to be added during execution. Field extname determines the extension name of the output file. And field outopt represents the option of generating the output.

  • Example tooling action of executing Clang Tidy with a configuration file config.txt in output directory and storing command line output of stderr stream to output file.
{
    "comment": "Example plugin for Panda driver",
    "type": "ClangToolAction",
    "action": {
        "title": "Generating raw external function map",
        "tool": "clang-tidy",
        "args": ["--config-file=/path/to/output/config.txt"],
        "extname": ".clang-tidy",
        "stream": "stderr"
    }
}

For a tooling action, object action has five fields. Field title, args, and extname have the same meaning as a compile action. Field tool determines the tool to be executed. And field stream represents the output of which stream will be stored to the output file. Please note that, string /path/to/output will be always be replaced to the actual output path determined with option -o during execution.

Acknowledgments

  • REST team, Institute of Software, Chinese Academy of Sciences

Let me know if Panda helps you. Thanks.