h1-mod/deps/json/tools/serve_header

serve_header.py

Serves the single_include/nlohmann/json.hpp header file over HTTP(S).

The header file is automatically amalgamated on demand.

Prerequisites

1. Make sure these Python packages are installed.

   PyYAML
   watchdog
   

   (see tools/serve_header/requirements.txt)

2. To serve the header over HTTPS (which is required by Compiler Explorer at this time), a certificate is needed. The recommended method for creating a locally-trusted certificate is to use mkcert.

   • Install the mkcert certificate authority into your trust store(s):

     $ mkcert -install
     

   • Create a certificate for localhost:

     $ mkcert localhost
     

     The command will create two files, localhost.pem and localhost-key.pem, in the current working directory. It is recommended to create them in the top level or project root directory.

Usage

serve_header.py has a built-in default configuration that will serve the single_include/nlohmann/json.hpp header file relative to the top level or project root directory it is homed in. The built-in configuration expects the certificate localhost.pem and the private key localhost-key.pemto be located in the top level or project root directory.

To start serving the json.hpp header file at https://localhost:8443/json.hpp, run this command from the top level or project root directory:

$ make serve_header

Open Compiler Explorer and try it out:

#include <https://localhost:8443/json.hpp>
using namespace nlohmann;

#include <iostream>

int main() {
    // these macros are dynamically injected into the header file
    std::cout << JSON_BUILD_TIME << " (" << JSON_BUILD_COUNT << ")\n";

    return 0;
}

serve_header.py dynamically injects the macros JSON_BUILD_COUNT and JSON_BUILD_TIME into the served header file. By comparing build count or time output from the compiled program with the output from serve_header.py, one can be reasonably sure the compiled code uses the expected revision of the header file.

Configuration

serve_header.py will try to read a configuration file serve_header.yml in the top level or project root directory, and will fall back on built-in defaults if the file cannot be read. An annotated example configuration can be found in tools/serve_header/serve_header.yml.example.

Serving json.hpp from multiple project directory instances or working trees

serve_header.py was designed with the goal of supporting multiple project roots or working trees at the same time. The recommended directory structure is shown below but serve_header.py can work with other structures as well, including a nested hierarchy.

json/          ⮜ the parent or web server root directory
├── develop/   ⮜ the main git checkout
│   └── ...
├── feature1/
│   └── ...      any number of additional
├── feature2/  ⮜ working trees (e.g., created
│   └── ...      with git worktree)
└── feature3/
    └── ...

To serve the header of each working tree at https://localhost:8443/<worktree>/json.hpp, a configuration file is needed.

1. Create the file serve_header.yml in the top level or project root directory of any working tree:

   root: ..
   

   By shifting the web server root directory up one level, the single_include/nlohmann/json.hpp header files relative to each sibling directory or working tree will be served.

2. Start serve_header.py by running this command from the same top level or project root directory the configuration file is located in:

   $ make serve_header
   

serve_header.py will automatically detect the addition or removal of working trees anywhere within the configured web server root directory.