phpy

简体中文

phpy

A library for inter-calling Python and PHP. You can use Python functions and libraries in PHP, or use PHP packages in Python.

• See documents: docs/en/README.md
• Supports Linux/Windows/macOS
• Not support Python threading or async-io features
• Require PHP 8.1 or later version

py2php

py2php is online utility that will auto-translate python code into PHP code.

Calling Python from PHP

Compile and install phpy.so as an extension, and append extension=phpy.so to php.ini.

PHP Example:

$os = PyCore::import("os");
echo $os->uname();

Transformers

$transformers = PyCore::import('transformers');
$AutoTokenizer = $transformers->AutoTokenizer;
$AutoModelForSequenceClassification = $transformers->AutoModelForSequenceClassification;

$os = PyCore::import('os');
$os->environ['https_proxy'] = getenv('https_proxy');

$tokenizer = $AutoTokenizer->from_pretrained("lxyuan/distilbert-base-multilingual-cased-sentiments-student");
$model = $AutoModelForSequenceClassification->from_pretrained("lxyuan/distilbert-base-multilingual-cased-sentiments-student");

Calling PHP from Python

Simply import it as a C++ Mudule.

Python Example:

import phpy
content = phpy.call('file_get_contents', 'test.txt')

o = phpy.Object('redis')
assert o.call('connect', '127.0.0.1', 6379)
rdata = phpy.call('uniqid')
assert o.call('set', 'key', rdata)
assert o.call('get', 'key') == rdata

Implementation

It creates ZendVM and CPython VM in the process at the same time, and directly uses C functions to call each other in the process stack space.

The overhead is only the conversion of zval PyObject structures, so the performance is very high.

In the benchmark test, we created a PyDict and executed PHP code and Python code to read and write 10 million times respectively.

The performance of phpy writing PyDict with PHP code is 14% higher than the native Python, and the read performance is 25% higher.

More details: docs/en/benchmark.md