Aletheia

Plataforma de análise de discursos de personalidades públicas e combate a Fake News.

Installation

• Fork this repo and clone it locally:

  git clone https://github.com/<your-username>/aletheia
  cd aletheia

• Startup Mongo DB via Docker and Ory Kratos:

  docker-compose up -d

• Install packages:

  yarn install

• To run in dev mode

  yarn dev

• Access http://localhost:3000 in your browser.

Configuration

Server

TBD

Platform

The Platform requires a configuration file that can be used to customize aspects of the site depending on your needs.

cp config/localConfig.example.ts config/localConfig.ts

Development DB

• Run seeder:

  yarn seed

• Run the command below to update the users' affiliations:

  ./node_modules/.bin/ts-node ./server/scripts/updateAllUsersAppAffiliation.ts

Build to production

• The build step should be run as follow:

yarn build

Configuring Ory

Local environment

Execute the following command to start Ory Kratos using Docker Compose:

docker-compose up kratos kratos-migrate

You can also use the self-service-ui-node and maisluper images to have a better experience debugging Ory.

3. Verify the Ory Kratos Installation

After starting the service, you can verify that it's running by accessing the admin panel:

• Open your web browser and go to http://localhost:4434/admin
• You should see a 404 page not found message, which indicates that the server is running but the requested endpoint does not exist.

4. Configuration Setup

• Configuring YAML Files Copy the Ory configurations from config.example.yaml to your config.yaml and config.seed.yaml:

• • Replace the values for url, admin_url, admin_endpoint, and schema_id with the appropriate values based on your setup in config.example.yaml.

• Configuring Environment Variables Copy the Ory configurations from .env.example to your .env file:

• • Update the NEXT_PUBLIC_ORY_SDK_URL and ORY_SDK_URL variables as specified in the .env.example file.

5. Seed the Database

Run the following command to seed the database with initial data:

yarn seed

6. Verify User Creation

Check if users were created successfully by accessing the identities page:

• Open http://localhost:4434/admin/identities in your browser.

Ory Cloud

Taking What You Need:

• Create an account and a project on https://console.ory.sh/login.
• In Project settings, copy the SDK configuration URL and save it.
• On the same page, in API keys, create a new API key, copy it, and save it.
• Go to User Management in Identity Schema and click on Duplicate Identity Schema. Then, update the current schema to IdentitySchema.JSON and click Save after making the changes:
• Go to SDK Configuration url that you saved and add /schemas in the end of the url then copy the first id on the page and save it.
• If you want to check if it is the right id, at the same url paste after /schemas the /<schema_id> contaning the id that you just copied.

Making The Changes On Your Code:

• First you gonna have to change the authentication_type: to ory on your config.yaml and config.seed.yaml.
• Now take SDK Configuration url and paste on url: in both pages config.yaml, config.seed.yaml and on ORY_SDK_URL= in your .env too.
• Now Paste the acess token that you saved on access_token: in your config.yaml and config.seed.yaml and on ORY_ACCESS_TOKEN= in your .env too.
• Do the same as above, but now with the Schema ID you saved, and paste it into schema_id and on ALETHEIA_SCHEMA_ID= in .env.

Setting up your own UI to make the right redirects:

• Go to User Interface on Ory Console and rewrite these fields: Login UI with http://localhost:3000/login and Settings UI with http://localhost:3000/profile.

Enable your TOTP Authenticator App:

• On ory console go into Two-Factor authentication section and enable TOTP Authenticator Apps, then save it.

MongoDB Atlas Search

Creating indexes

• On mongoDB cloud go into Database > Your Cluster
• Once you select your cluster goes into the tab Search
• Here you can see all your created search indexes
• Click on CREATE INDEX button
• Select the Visual Editor configuration method and click in Next button
• Name your index, select the collection and click in Next button
• Create your own configurations by clicking on Refine Your Index
• Disable Dynamic Mapping and click in Add Field button in Fields Mapping
• Select your field name, disable dynamic mapping and click in Add Data Type button
• For personality search we select the name field
• For sentence search we select the content field
• For claim search we select the title and date field
• Select your data type and change the configs if you want to
• For claim title, personality name, and sentence content research, we select autocomplete data type, with 10 max grams and 3 min grams
• For claim date field, we select Date data type
• Add another data type if you want to click in the Add another data type icon
• Save your changes
• Review your new search index and click in Create Search Index button

Using Mongo DB Atlas

• Replace your connection_uri with your MongoDB atlas connection URI in config.yaml
• Bellow of connection_uri add atlas field with a true boolean

Feature Flag in Git Lab

• Create a GitLab account from the url: https://gitlab.com to be inserted into the project and have permission to access the closed tools
• Access Aletheia's GitLab account via the url: https://gitlab.com/aletheiafact/aletheia
• Click on the Deployments option
• Then click on the Feature Flag option
• Click on Configure, which is in front of the New Feature Flag button
• Appear the settings needed to be inserted into the .env e config.yaml
• The settings are the api url, instance id and appName
• The appName that should be inserted is: Local, you must pay attention to the capital letter which makes a difference here
• API URL: URL where the client (application) connects to get a list of feature flags.
• Instance ID: Unique token that authorizes the retrieval of the feature flags.
• Application name: The name of the environment the application runs in (not the name of the application itself).
• Follow the example to put the variables in the right places.

Localstack (AWS)

docker-compose up -d localstack  # Run in detached mode

Create a s3 bucket

docker-compose exec localstack awslocal s3 mb s3://aletheia