- All resources under Introduction to Manage Learn Category
- NodeJS
- MongoDB
- Basics of Cloud Storage
- Basics of Kafka
- 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
{% embed url="https://github.com/shikshalokam/ml-survey-service.git" %}
https://github.com/shikshalokam/ml-survey-service.git
command to clone
git clone https://github.com/shikshalokam/ml-survey-service.git
Create a file named .env
and copy the environment-specific data corresponding to that service into the .env
file.
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 = "100.0.0.1:9092" // 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
# IMPROVEMENT PROJECT SERVICE
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
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
oryarn 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.
- 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
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.