MalliLabs: Tasks resolved

[GuilhermeCMartins]

Task 1

Greet Somebody in Different Languages

• Created an object with possible translations.
• Iterated through the object with the language passed in the query.

Endpoint: /task1/greet/{name}

Task 2 - Convert snake_case to camelCase

• Created a camelize function that splits on underscores and returns the camelCase version.

Endpoint: POST /task2/camelize

Task 3 - Handle User Actions

• Created an intent_mapping for possible words that trigger an intent.
• Used spaCy for natural language processing (NLP).
• Created a function called identify_intent that iterates through the mapping and returns the actual intent.
• Created a function called extract_call_name to identify the name of the friend who should make a call.
• In the main function, used a conditional structure to call the intent handlers or return an ActionResponse for an action taker not registered.
• Defined four handlers for the four possible intents: call, reminder, timer, and unknown.

Endpoint: POST /task3/action

Task 4 - Security

• Created validation to check who is accessing the token (the user must exist to get a Bearer token).
• Created a function called get_user that returns the user from the fake database.
• Created a function called get_current_user to verify and return the user from the token.
• In the main function, created a verification to check if the user exists and if they own the secret.

Token Retrieval Endpoint: POST /task4/token
User Secret Endpoint: GET /task4/users/{username}/secret