Remote Code Compiler

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 |_| \_\  \___| |_| |_| |_|  \___/   \__|  \___|    \____|  \___/   \__,_|  \___|    \____|  \___/  |_| |_| |_| | .__/  |_| |_|  \___| |_|
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An online code compiler supporting 11 languages (Java, Kotlin, C, C++, C#, Golang, Python, Scala, Ruby, Rust and Haskell) for competitive programming and coding interviews. This service execute your code remotely using docker containers to separate environments of execution.

Supports Rest Calls (Long Polling and Push Notification), Apache Kafka and Rabbit MQ Messages.

Example of an input

{
    "input": "9",
    "expectedOutput": "0 1 2 3 4 5 6 7 8 9",
    "sourceCode": "<YOUR_SOURCE_CODE>",
    "language": "JAVA",
    "timeLimit": 15,  
    "memoryLimit": 500 
}

Example of an ouput

The compiler cleans up your output, so having extra spaces or line breaks does not affect the status of the response.

{
  "result": {
    "statusResponse": "Accepted",
    "statusCode": 100,
    "output": "0 1 2 3 4 5 6 7 8 9",
    "error": "",
    "expectedOutput": "0 1 2 3 4 5 6 7 8 9",
    "executionDuration": 2111
  },
  "dateTime": "2022-01-28T23:32:02.843465"
}

Prerequisites

To run this project you need a docker engine running on your machine.

Getting Started

Build docker image by typing the following command :

docker image build . -t compiler

Run the container by typing the following command

docker container run -p 8080:8082 -v /var/run/docker.sock:/var/run/docker.sock -e DELETE_DOCKER_IMAGE=true -e EXECUTION_MEMORY_MAX=10000 -e EXECUTION_MEMORY_MIN=0 -e EXECUTION_TIME_MAX=15 -e EXECUTION_TIME_MIN=0 -e MAX_REQUESTS=1000 -e MAX_EXECUTION_CPUS=0.2 -t compiler

The value of the env variable DELETE_DOCKER_IMAGE is by default set to true, and that means that each docker image is deleted after the execution of the container.
The value of the env variable EXECUTION_MEMORY_MAX is by default set to 10 000 MB, and represents the maximum value of memory limit that we can pass in the request. EXECUTION_MEMORY_MIN is by default set to 0.
The value of the env variable EXECUTION_TIME_MAX is by default set to 15 sec, and represents the maximum value of time limit that we can pass in the request. EXECUTION_TIME_MIN is by default set to 0.
MAX_REQUESTS represents the number of requests that can be executed in parallel. When this value is reached all incoming requests will be throttled, and the user will get 429 HTTP status code (there will be a retry in queue mode).
MAX_EXECUTION_CPUS represents the maximum number of cpus to use for each execution (by default the maximum available cpus). If this value is set, then all requests will be throttled when the reach the maximum.
PULL_IMAGES_BEFORE_STARTUP if it's set to true then the compiler will pull all images before starting the container to make first requests faster.

Push Notifications

To enable push notifications you must set ENABLE_PUSH_NOTIFICATION to true

For long-running executions, you may want to get the response later and to avoid http timeouts, you can use push notifications, to do so you must pass two header values (url where you want to get the response and set preferPush to prefer-push)

Multipart request

Local Run (for dev environment only)

See the documentation in the local folder, a docker-compose is provided.

docker-compose up --build

On K8s

You can use the provided helm chart to deploy the project on k8s, see the documentation in the k8s folder.

helm install compiler ./k8s/compiler

AKS Provisioning

We provide you with a script to provision an AKS cluster to ease your deployment experience. See the documentation in the provisioning folder.

How It Works

The compiler creates a container for each execution to separate the execution environments.

Each container has a number of CPUs (the same value for all containers, we recommend to use 0.1 CPUs for each execution), a memory limit and execution time limit, once the memory limit or the maximum time granted to this container is reached the container is destroyed automatically and an error explaining the cause is returned to the user.

For the documentation visit the swagger page at the following url : http://IP:PORT/swagger-ui.html

Verdicts

🎉 Accepted

{
  "result": {
    "statusResponse": "Accepted",
    "statusCode": 100,
    "output": "YES",
    "error": "",
    "expectedOutput": "YES",
    "executionDuration": 73
  },
  "dateTime": "2022-01-28T23:32:02.843465"
}

❌ Wrong Answer

{
  "result": {
    "statusResponse": "Wrong Answer",
    "statusCode": 200,
    "output": "YES",
    "error": "",
    "expectedOutput": "NO",
    "executionDuration": 116
  },
  "dateTime": "2022-01-28T23:32:02.843465"
}

💩 Compilation Error

{
  "result": {
    "statusResponse": "Compilation Error",
    "statusCode": 300,
    "output": "",
    "error": "# command-line-arguments\n./main.go:5:10: undefined: i\n./main.go:6:21: undefined: i\n./main.go:7:9: undefined: i\n",
    "expectedOutput": "1 2",
    "executionDuration": 0
  },
  "dateTime": "2022-06-05T19:21:25.547048"
}

🕜 Time Limit Exceeded

{
  "result": {
    "statusResponse": "Time Limit Exceeded",
    "statusCode": 500,
    "output": "",
    "error": "Execution exceeded 15sec",
    "expectedOutput": "YES",
    "executionDuration": 15001
  },
  "dateTime": "2022-01-28T23:32:02.843465"
}

💥 Runtime Error

{
  "result": {
    "statusResponse": "Runtime Error",
    "statusCode": 600,
    "output": "",
    "error": "panic: runtime error: integer divide by zero\n\ngoroutine 1 [running]:\nmain.main()\n\t/app/main.go:11 +0x9b\n",
    "expectedOutput": "1 2\n",
    "executionDuration": 13
  },
  "dateTime": "2022-06-05T19:10:34.357349"
}

💽 Out Of Memory

{
  "result": {
    "statusResponse": "Out Of Memory",
    "statusCode": 400,
    "output": "",
    "error": "fatal error: runtime: out of memory\n\nruntime stack:\nruntime.throw({0x497d72?, 0x17487800000?})\n\t/usr/local/go/src/runtime/panic.go:992 +0x71\nruntime.sysMap(0xc000400000, 0x7ffccb36b0d0?, 0x7ffccb36b13...",
    "expectedOutput": "YES",
    "executionDuration": 12
  },
  "dateTime": "2022-06-05T19:17:35.384797"
}

Visualize Docker images and containers infos

It is also possible to visualize information about the images and docker containers that are currently running using these endpoints

Stream processing with Kafka Streams

You can use the compiler with an event driven architecture. To enable kafka mode you must pass to the container the following env variables :

ENABLE_KAFKA_MODE : True or False
KAFKA_INPUT_TOPIC : Input topic, json request
KAFKA_OUTPUT_TOPIC : Output topic, json response
KAFKA_CONSUMER_GROUP_ID : Consumer group
KAFKA_HOSTS : List of brokers
CLUSTER_API_KEY : API key
CLUSTER_API_SECRET : API Secret
KAFKA_THROTTLING_DURATION : Throttling duration, by default set to 10000ms (when number of docker containers running reach MAX_REQUESTS, this value is used to do not lose the request and retry after this duration)

More partitions => More Parallelism => Better performance

docker container run -p 8080:8082 -v /var/run/docker.sock:/var/run/docker.sock -e DELETE_DOCKER_IMAGE=true -e EXECUTION_MEMORY_MAX=10000 -e EXECUTION_MEMORY_MIN=0 -e EXECUTION_TIME_MAX=15 -e EXECUTION_TIME_MIN=0 -e ENABLE_KAFKA_MODE=true -e KAFKA_INPUT_TOPIC=topic.input -e KAFKA_OUTPUT_TOPIC=topic.output -e KAFKA_CONSUMER_GROUP_ID=compilerId -e KAFKA_HOSTS=ip_broker1,ip_broker2,ip_broker3 -e API_KEY=YOUR_API_KEY -e API_SECRET=YOUR_API_SECRET -t compiler

Queueing system with RabbitMq

To enable Rabbit MQ mode you must pass to the container the following env variables :

ENABLE_RABBITMQ_MODE : True or False
RABBIT_QUEUE_INPUT : Input queue, json request
RABBIT_QUEUE_OUTPUT : Output queue, json response
RABBIT_USERNAME : Rabbit MQ username
RABBIT_PASSWORD : Rabbit MQ password
RABBIT_HOSTS : List of brokers
RABBIT_THROTTLING_DURATION : Throttling duration, by default set to 10000ms (when number of docker containers running reach MAX_REQUESTS, this value is used to do not lose the request and retry after this duration)

docker container run -p 8080:8082 -v /var/run/docker.sock:/var/run/docker.sock -e DELETE_DOCKER_IMAGE=true -e EXECUTION_MEMORY_MAX=10000 -e EXECUTION_MEMORY_MIN=0 -e EXECUTION_TIME_MAX=15 -e EXECUTION_TIME_MIN=0 -e ENABLE_RABBITMQ_MODE=true -e RABBIT_QUEUE_INPUT=queue.input -e RABBIT_QUEUE_OUTPUT=queue.output -e RABBIT_USERNAME=username -e RABBIT_PASSWORD=password -e RABBIT_HOSTS=ip_broker1,ip_broker2,ip_broker3 -t compiler

Monitoring

Check out exposed prometheus metrics using the following url : http://IP:PORT/prometheus

Other metrics are available.

Logging

By default, only console logging is enabled.

You can store logs in a file and access to it using /logfile endpoint by setting the environment variable ROLLING_FILE_LOGGING to true. All logs will be kept for 7 days with a maximum size of 1 GB.

You can also send logs to logstash pipeline by setting these environment variables LOGSTASH_LOGGING to true and LOGSTASH_SERVER_HOST, LOGSTASH_SERVER_PORT to logstash and port values respectively.

Author

Zakaria Maaraki - Initial work - zakariamaaraki

crackercat / remotecodecompiler Goto Github PK