mirror of
https://gitlab.kit.edu/uskyk/typicalc.git
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104 lines
3.4 KiB
Markdown
104 lines
3.4 KiB
Markdown
# Typicalc
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The project is a standard Maven project, so you can import it to your IDE of choice.
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[Read more how to set up a development environment](https://vaadin.com/docs/v18/flow/installing/installing-overview.html) for Vaadin projects (Windows, Linux, macOS).
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[To Vaadin documentation](https://vaadin.com/docs-beta/latest/flow/overview/)
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## Running and debugging the application
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### Running the application from the command line.
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To run from the command line, use `mvn` and open http://localhost:8080 in your browser.
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### Running and debugging the application in Intellij IDEA
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- Locate the Application.java class in the Project view. It is in the src folder, under the main package's root.
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- Right click on the Application class
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- Select "Debug 'Application.main()'" from the list
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After the application has started, you can view it at http://localhost:8080/ in your browser.
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You can now also attach break points in code for debugging purposes, by clicking next to a line number in any source file.
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### Running and debugging the application in Eclipse
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- Locate the Application.java class in the Package explorer. It is in `src/main/java`, under the main package.
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- Right click on the file and select `Debug As` --> `Java Application`.
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Do not worry if the debugger breaks at a `SilentExitException`. This is a Spring Boot feature and happens on every startup.
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After the application has started, you can view your it at http://localhost:8080/ in your browser.
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You can now also attach break points in code for debugging purposes, by clicking next to a line number in any source file.
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## Fuzzing with [JQF](https://github.com/rohanpadhye/JQF)
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### [Zest](https://github.com/rohanpadhye/JQF/wiki/Fuzzing-with-Zest)
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Run:
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```
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mvn test-compile jqf:fuzz -Dclass=edu.kit.typicalc.model.parser.LambdaParserFuzzTest -Dmethod=testInference
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```
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This will use the `LambdaTermGenerator` to create random lambda terms that are then passed to the `ModelImpl`.
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### [AFL](https://lcamtuf.coredump.cx/afl/)
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First install the necessary JQF tools: https://github.com/rohanpadhye/jqf/wiki/Fuzzing-with-AFL
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Remove the `@Ignore` annotation in `LambdaParserFuzzTest` and run:
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```
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mvn test-compile
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jqf-afl-fuzz -c target/test-classes:target/classes -i src/test/resources/terms/ edu.kit.typicalc.model.parser.LambdaParserFuzzTest testLambdaParserAFL
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```
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Generated inputs are stored in `fuzz-results/queue/`.
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More samples can be added to `src/test/resources/terms/` to speed up the process.
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## Running tests + calculating test coverage
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First run the unit tests:
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```
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mvn jacoco:prepare-agent test jacoco:report
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```
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Then run the application with the JaCoCo agent: (adjust the path to the agent jar)
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```
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cp target/typicalc-1.0-SNAPSHOT.jar /tmp
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java -javaagent:jacoco.agent.jar=port=36320,destfile=jacoco-it.exec,output=tcpserver /tmp/typicalc-1.0-SNAPSHOT.jar
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```
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To run the integration tests:
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```
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mvn integration-test
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mvn jacoco:dump@pull-test-data -Dapp.host=localhost -Dapp.port=36320 -Dskip.dump=false
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```
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Finally, a code coverage report can be generated:
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```
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mvn antrun:run@generate-report -Dskip.int.tests.report=false
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```
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## Deploying using Docker
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To build the Dockerized version of the project, run:
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```
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docker build . -t typicalc:latest
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```
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Once the Docker image is correctly built, you can run it:
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```
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docker run -p 80:8080 typicalc:latest
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```
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## Deploying using a JAR
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First build the application:
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```
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mvn clean package -Pproduction
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```
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Then run the server:
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```
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PORT=80 java -jar target/typicalc-1.0-SNAPSHOT.jar
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```
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