Local Service Setup Guide


  • All resources under Introduction to Manage Learn Category

  • NodeJS

  • MongoDB

  • Basics of Cloud Storage

  • Basics of Kafka

Clone the service repository onto your system

  • Create a new folder where you want to clone the repository.

  • Navigate to that directory using the terminal.

  • Execute the git commands to clone the repository using the provided link from the code tab.

Git link


command to clone

git clone https://github.com/shikshalokam/ml-survey-service.git

Create .env file

Create a file named .env and copy the environment-specific data corresponding to that service into the .env file.

ML Survey Service Config

APPLICATION_PORT = 3000                                                         // Application port number
APPLICATION_ENV = 'development'                                                 // Application running enviornment

# Setting for custom request timeout for reports
MONGODB_URL = mongodb://localhost:27017/sl-assessment                           // Mongodb connection url
USER_SERVICE_URL = "http://user-service:3000"                                   // Base url of the sunbird enviornment
INTERNAL_ACCESS_TOKEN = "Internal access token to access reports"               // Internal access token for accessing Admin specific APIs

# Kafka Configuration
KAFKA_COMMUNICATIONS_ON_OFF = "ON/OFF"                                          // Kafka enable or disable communication flag
KAFKA_URL = ""                                                    // IP address of kafka server with port without HTTP
SUBMISSION_RATING_QUEUE_TOPIC = "dev.sl.submission.rating.raw"                                // Kafka topic name for pushing submissions for which rating has to be done.
COMPLETED_SURVEY_SUBMISSION_TOPIC = "dev.sl.survey.raw"                            // Kafka topic name for completed survey submission
INCOMPLETE_SURVEY_SUBMISSION_TOPIC = "dev.sl.incomplete.survey.raw"                           // Kafka topic name for incomplete survey submission
KAFKA_GROUP_ID = "survey"                                                       // Kafka consumer group for ML Survey Service
IMPROVEMENT_PROJECT_SUBMISSION_TOPIC = "dev.sl.improvement.project.submission"                                       // Kafka topic name for pushing project submission related data
OBSERVATION_SUBMISSION_TOPIC = "dev.sl.observation.raw"                         // Kafka topic name for pushing observation submission

# ML Core Service
ML_CORE_SERVICE_URL = "http://ml-core-service:3000"                             // ML Core Service URL

ML_PROJECT_SERVICE_URL = "http://ml-project-service:3000"                       // Project Service URL

KEYCLOAK_PUBLIC_KEY_PATH = "keycloak-public-keys"                               // Keycloak public keys path

DISABLE_LEARNER_SERVICE_ON_OFF = "ON"                                          // Disable learner service check

FORM_SERVICE_URL = "http://player:3000"                                         // Base url for form search

Install Dependencies

To install dependencies from a package.json file in Visual Studio Code, you can use the integrated terminal. Here are the steps:

  • Open the integrated terminal by going to View > Terminal or using the shortcut Ctrl+` (backtick).

  • In the terminal, navigate to the directory where the package.json file is located.

  • Run the command npm install or yarn install, depending on your preferred package manager.

  • The package manager will read the package.json file and install all the dependencies specified in it.

  • Wait for the installation process to complete. You should see progress indicators or a success message for each installed dependency.

  • Once the installation is finished, the dependencies listed in the package.json file will be installed in a node_modules directory in your project.

Setting the keycloak

  • Create a folder on service directory named: keycloak-public-keys

  • Inside that folder create a file GRxxx....................xxxxx60fA

for keycloak file please contact Backend Team

Setup Database

Before proceeding with these steps, ensure that you have MongoDB installed on your computer. For a graphical user interface (GUI) for MongoDB, you can choose to install Robo 3T.

  • Obtain the latest database dump from the backend team.

  • Restore the database in your local environment using the following command:

    For Windows/Linux: mongorestore <name you want to give the db> <directory or file to restore>

    For macOS: mongorestore -d <name you want to give the db> <directory or file to restore>

Note: Add <name you want to give the db> to mongoDB url in .env file.

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