How-To Guides

Running the project

For running the project, once all dependencies and configurations are set, run the following command:

SERVER

Run the server

python src/server_main.py

CLIENT

Run the client

python src/main.py

Then the smart compiler will ask the user to provide the folder of the project that the user will be working on. Please provide a path example : /home/directory/projectAI

Then the smart compiler will ask which specific file will the smart compiler work on: type the name fo the file, exmaple : api_server.py

Then the smart compiler will ask which specific task to do: Profile or Optimize. Type what you would like to do with the program.

USE CASE

python src/main.py

Please provide the folder of your project: /home/user/Desktop/SmartCompiler/examples/jacobi-2d
Please provide the file you want to analyze: main.c
File 'main.c' found in the project.

What do you want to do with the file? (Profile or Optimize): Profile

The profile information or the optimize C application will be stored in the same folder where the target project is located.

Running from containers

Building images.

Build the smart compiler server and client by running the scripts:

docker build -f Server_dockerFile -t smart_server . #For SERVER
docker build -f Client_dockerfile -t smart_client . #For Client

Note: By default, the dockerfiles are configured for localhost deploy. If you are planning to deploy it in a distributed architecture, you need to make sure on setting up the proper env variables inside the dockerfiles.

Running containers

For running the smart server you can run the following script.

docker run -d --name smart_server -p 8000:8000 smart_server #Server
docker run -it --name smart_client -p 8001:8001 smart_client #Client. Remember -it