Typicalc/README.md
2021-03-10 16:07:52 +01:00

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# Typicalc
The project is a standard Maven project, so you can import it to your IDE of choice.
[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).
[To Vaadin documentation](https://vaadin.com/docs-beta/latest/flow/overview/)
## Running and debugging the application
### Running the application from the command line.
To run from the command line, use `mvn` and open http://localhost:8080 in your browser.
### Running and debugging the application in Intellij IDEA
- Locate the Application.java class in the Project view. It is in the src folder, under the main package's root.
- Right click on the Application class
- Select "Debug 'Application.main()'" from the list
After the application has started, you can view it at http://localhost:8080/ in your browser.
You can now also attach break points in code for debugging purposes, by clicking next to a line number in any source file.
### Running and debugging the application in Eclipse
- Locate the Application.java class in the Package explorer. It is in `src/main/java`, under the main package.
- Right click on the file and select `Debug As` --> `Java Application`.
Do not worry if the debugger breaks at a `SilentExitException`. This is a Spring Boot feature and happens on every startup.
After the application has started, you can view your it at http://localhost:8080/ in your browser.
You can now also attach break points in code for debugging purposes, by clicking next to a line number in any source file.
## Fuzzing with [JQF](https://github.com/rohanpadhye/JQF)
### [Zest](https://github.com/rohanpadhye/JQF/wiki/Fuzzing-with-Zest)
Run:
```
mvn test-compile jqf:fuzz -Dclass=edu.kit.typicalc.model.parser.LambdaParserFuzzTest -Dmethod=testInference
```
This will use the `LambdaTermGenerator` to create random lambda terms that are then passed to the `ModelImpl`.
### [AFL](https://lcamtuf.coredump.cx/afl/)
First install the necessary JQF tools: https://github.com/rohanpadhye/jqf/wiki/Fuzzing-with-AFL
Remove the `@Ignore` annotation in `LambdaParserFuzzTest` and run:
```
mvn test-compile
jqf-afl-fuzz -c target/test-classes:target/classes -i src/test/resources/terms/ edu.kit.typicalc.model.parser.LambdaParserFuzzTest testLambdaParserAFL
```
Generated inputs are stored in `fuzz-results/queue/`.
More samples can be added to `src/test/resources/terms/` to speed up the process.
## Deploying using Docker
To build the Dockerized version of the project, run
```
docker build . -t myapp:latest
```
Once the Docker image is correctly built, you can test it locally using
```
docker run -p 80:8080 myapp:latest
```
## Deploying using a JAR
First build the project:
```
mvn package -Pproduction
```
Then run the server:
```
PORT=80 java -jar target/typicalc-1.0-SNAPSHOT.jar
```