kanchan88/django-tfidf-chatbot-api

Purpose and Entry Points

This repository is a Django backend exposing a REST API for a TF-IDF-based chatbot. The process starts through manage.py, with deployment interfaces in DjangoReactChatbot/wsgi.py and DjangoReactChatbot/asgi.py. URL routing begins at DjangoReactChatbot/urls.py.

Django Project Runtime

DjangoReactChatbot/settings.py defines the Django runtime, installed applications, middleware, database, and API-related settings. The repository includes a SQLite database snapshot at db.sqlite3, so persistence is local rather than an externally managed database service.

API Application Boundary

The api Django app owns chatbot-facing API behavior and persistence concerns. It is registered through api/apps.py; project-level routes delegate into app routes via DjangoReactChatbot/urls.py and api/urls.py.

Request-to-Response Flow

A client calls an endpoint defined in api/urls.py. Django dispatches the request to handlers in api/views.py, where chatbot/API control flow is implemented. Views use serializers and models as needed, then return Django/REST-style HTTP responses to the caller.

Chatbot Processing Layer

The stated product behavior is a TF-IDF chatbot API. Its request interpretation and answer-generation integration are expected to be centered in api/views.py; no separately visible ML model package, corpus, model artifact, or external inference service appears in the repository tree. This makes the API view layer the key boundary between HTTP input and chatbot logic.

Data Contract and Persistence

api/serializers.py defines translation and validation between request/response payloads and Django model objects. api/models.py defines durable application data, with schema initialization captured in api/migrations/0001_initial.py. Django ORM operations provide the boundary between API logic and SQLite.

Infrastructure and Deployment Interfaces

The application supports both synchronous WSGI and asynchronous ASGI hosting through DjangoReactChatbot/wsgi.py and DjangoReactChatbot/asgi.py. There is no evidence of a separate React frontend, message queue, cache, cloud service, authentication provider, or externally hosted ML runtime in the supplied tree.