# lur4n/classificador-agronews architecture

> Architecture diagram of the GitHub repository lur4n/classificador-agronews, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-26). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/lur4n/classificador-agronews
- Repository: https://github.com/lur4n/classificador-agronews

## Overview

This is a stateless Python library for classifying agribusiness news and generating optional short summaries. An integrating application supplies a validated news item and optional allowed categories to the classifier; it calls Gemini for a schema-constrained result, then validates the returned JSON as a Pydantic result model. The README also documents Django and basic-use integrations. The source excerpts show the classifier and models, but not the example implementations.

Main entry points: [`classificador_agronews/classificador.py`](https://github.com/lur4n/classificador-agronews/blob/main/classificador_agronews/classificador.py) (News classifier), [`classificador_agronews/models.py`](https://github.com/lur4n/classificador-agronews/blob/main/classificador_agronews/models.py) (Pydantic models)

## Diagram (Mermaid)

```mermaid
flowchart TD

node_integrator(("Integrating app"))
node_classifier["News classifier<br/>[classificador.py]"]
node_models["Pydantic models<br/>[models.py]"]
node_gemini{{"Google Gemini"}}

node_integrator -->|"submits news"| node_classifier
node_integrator -->|"builds input"| node_models
node_classifier -->|"uses schema"| node_models
node_classifier -->|"requests analysis"| node_gemini
node_gemini -->|"returns JSON"| node_classifier
node_classifier -->|"validates result"| node_models
node_classifier -->|"returns classification"| node_integrator

click node_classifier "https://github.com/lur4n/classificador-agronews/blob/main/classificador_agronews/classificador.py"
click node_models "https://github.com/lur4n/classificador-agronews/blob/main/classificador_agronews/models.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_integrator,node_models,node_gemini toneIndigo
class node_classifier toneTeal
```

## Components

### Other components

- **Integrating app**
- [News classifier](https://github.com/lur4n/classificador-agronews/blob/main/classificador_agronews/classificador.py): `classificador_agronews/classificador.py`
- [Pydantic models](https://github.com/lur4n/classificador-agronews/blob/main/classificador_agronews/models.py): `classificador_agronews/models.py`
- **Google Gemini**

## Connections

- Integrating app → News classifier: submits news
- Integrating app → Pydantic models: builds input
- News classifier → Pydantic models: uses schema
- News classifier → Google Gemini: requests analysis
- Google Gemini → News classifier: returns JSON
- News classifier → Pydantic models: validates result
- News classifier → Integrating app: returns classification