Conversation
The Conversation model is created once a user decides to save a conversation by interacting with Intentify’s embedded chatbot. A User can have many Conversations.
Fields
- id: Integer (Primary key)
- A unique identifier for the Conversation model
- user_id: Integer (Foreign key referencing an existing user’s ID, not nullable)
- The user ID associated with this conversation
- urls: An array of Text
- An array of URLs given by the User during the conversation. Intentify’s AI can often determine the contents of a webpage from a URL alone.
- user_role: Text
- The predicted role of the user during this conversation
- Default: An empty string
- user_intent: Text
- The predicted intention(s) of the User for why they are exploring their URLs
- Default: An empty string
- created_at: Datetime
- A timestamp (UTC) indicating when this conversation was created
- Automatically set
Methods
- get_by_id(convo_id: int) -> Conversation
- Args:
- convo_id: The conversation ID of the Conversation model
- Returns:
- The Conversation with the corresponding ID. Returns None otherwise
- Args:
- get_by_user_id(user_id: int) -> Conversation
- Args:
- user_id: A User’s ID
- Returns:
- A list of all Conversations corresponding to the User’s user_id
- Args:
- json() -> dict
- Returns:
- The dictionary representation of a Conversation, containing a Conversation’s ID, user ID, URLs, predicted intention, predicted role, and creation date
- Example output:
{ "URLs": [ "https://en.wikipedia.org/wiki/Circular_reasoning", "https://helpfulprofessor.com/circular-logic/" ], "created_at": "Tue, 26 Nov 2024 21:11:20 GMT", "user_id": 9, "id": 8, "intent": "The user is likely exploring the URLs to gain a deeper understanding of circular logic, particularly its implications in psychology and how it manifests in everyday reasoning, despite not being interested in the relationship between premises and conclusions.", "role": "Psychologist or Academic Researcher" }
- Returns:
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