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https://github.com/thatfiredev/lpc-isctem-2019
Pre-processor Java-Pascal
https://github.com/thatfiredev/lpc-isctem-2019
Last synced: 9 days ago
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Pre-processor Java-Pascal
- Host: GitHub
- URL: https://github.com/thatfiredev/lpc-isctem-2019
- Owner: thatfiredev
- Created: 2019-08-20T20:15:22.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-09T12:35:06.000Z (over 4 years ago)
- Last Synced: 2024-12-07T23:25:27.344Z (18 days ago)
- Language: JavaScript
- Homepage: https://rosariopfernandes.github.io/LPC-ISCTEM-2019/
- Size: 10.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Java to Pascal Pre-Processor
This is a college project I built to learn more about Compilers.
It takes Java code and converts it to Pascal. It only takes in consideration:
- Primitive variable declarations (both local and global) (eg. `int counter;`).
- value attribution (eg. `counter = 0;`).
- `if` and `while` structures.
- primitive type methods (`void` included).
This project has 3 components:
- **The Web UI** - a simple user interface written in HTML, CSS and JS. It's located
on the [web folder](https://github.com/rosariopfernandes/LPC-ISCTEM-2019/tree/master/web).
- **The flask server** - the server that actually does all the processing operations. It's located
on the root folder of the projects and also includes the [converters](https://github.com/rosariopfernandes/LPC-ISCTEM-2019/tree/master/converters)
and [models](https://github.com/rosariopfernandes/LPC-ISCTEM-2019/tree/master/models) folders.
- **The Parser** - a [jar file](https://github.com/rosariopfernandes/LPC-ISCTEM-2019/blob/master/AnalisadorJava.jar)
created using the [Java cup library](http://www2.cs.tum.edu/projects/cup/).
There's also a `java_files` folder where you can find examples of files that can
be parsed by the pre-processor.
## Getting Started
These instructions will get you a copy of the project up and running on
your local machine for development and testing purposes.
### Prerequisites
The project was built using python3, so you'll need to install it.
See [Python downloads](https://www.python.org/downloads/) for instructions.
### Installing
1. Clone the project to your local machine:
```bash
git clone https://github.com/rosariopfernandes/LPC-ISCTEM-2019
cd LPC-ISCTEM-2019
```
1. Install the dependencies locally:
```bash
pip install prettytable
pip install flask
```
1. Run the server:
```bash
python3 __init__.py
```
Make sure it's running on `https://127.0.0.1/5000`.
1. Run the web server using any static server program.
I particularly like [Web Server for Chrome](https://chrome.google.com/webstore/detail/web-server-for-chrome/ofhbbkphhbklhfoeikjpcbhemlocgigb)
because it provides a user interface.
1. Open the web server url on the browser.
Because chrome blocks Same-Origin Requests, you might want you disable chrome security:
```bash
chromium-browser --disable-web-security --user-data-dir="[SOME_DIRECTORY]"
```
Replace [SOME_DIRECTORY] with a directory you have created on your local machine.
Chrome will be storing your user data there.