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Supercharge Your Java Apps With Python Blogpost
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Context context = Context.newBuilder("python"). | |
allowAllAccess(true). | |
option("python.ForceImportSite", "true"). | |
option("python.Executable", VENV_EXECUTABLE). | |
build(); |
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interface GraphRenderer { | |
InputStream render(String function, int steps); | |
} |
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Main.class.getClassLoader().getResource("venv/bin/python").getPath(); |
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<id>enforce-graalvm-python</id> | |
<phase>validate</phase> | |
<goals><goal>enforce</goal></goals> | |
<configuration> | |
<rules> | |
<requireFilesExist> | |
<message>JAVA_HOME must be a GraalVM with Python installed. Download GraalVM from https://www.graalvm.org/downloads and install the Python component: `gu install python`</message> | |
<files><file>${env.JAVA_HOME}/bin/graalpy</file></files> | |
</requireFilesExist> | |
</rules> | |
<fail>true</fail> | |
</configuration> |
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<executions> | |
<execution> | |
<id>Prepare venv</id> | |
<phase>generate-resources</phase> | |
<goals><goal>exec</goal></goals> | |
<configuration> | |
<executable>${env.JAVA_HOME}/bin/graalpy</executable> | |
<arguments> | |
<argument>-m</argument> | |
<argument>venv</argument> | |
<argument>venv</argument> | |
</arguments> | |
</configuration> | |
</execution> | |
<execution> | |
<id>Install required packages into venv</id> | |
<phase>generate-resources</phase> | |
<goals><goal>exec</goal></goals> | |
<configuration> | |
<executable>venv/bin/pip</executable> | |
<arguments> | |
<argument>install</argument> | |
<argument>pygal==2.4.0</argument> | |
</arguments> | |
<environmentVariables> | |
<VIRTUAL_ENV>${project.basedir}/venv</VIRTUAL_ENV> | |
</environmentVariables> | |
</configuration> | |
</execution> | |
</executions> |
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<resource> | |
<directory>${project.basedir}</directory> | |
<includes> | |
<include>venv/**/*</include> | |
</includes> | |
</resource> |
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Value pygalRendererClass = context.getPolyglotBindings().getMember("PygalRenderer"); | |
Value pygalRenderer = pygalRendererClass.newInstance(); | |
pygalRenderer.as(GraphRenderer.class); |
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import polyglot | |
polyglot.export_value("PygalRenderer", PygalRenderer) |
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class PygalRenderer: | |
def render(self, func, steps): |
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values = [] | |
x = -100 | |
while x < 100: | |
values.append(eval(func, globals={"x": x, **math.__dict__})) | |
x += 200 / steps |
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chart = pygal.Line(fill=False) | |
chart.add(f"f(x) = {func}", values) | |
svg_data = chart.render() |
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stream = SVGInputStream() | |
stream.this.bytestream = iter(svg_data) | |
return stream |
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class SVGInputStream(java.io.InputStream): | |
def read(self, *args): | |
... |
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