Add Agriculture Specialist role for Sustainable Development

[GYFX35]

Implemented a new AI-driven role specialized in sustainable agriculture development. This includes a dedicated backend function with a specialized system prompt, a new API endpoint protected by API key, and a corresponding frontend UI for user interaction. The feature is fully localized in English and Spanish.

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PR created automatically by Jules for task 7779780775566120507 started by @GYFX35

Summary by Sourcery

Add an AI-powered Agriculture Specialist capability focused on sustainable development, exposed via a new backend API endpoint and integrated into the frontend UI.

New Features:

• Introduce a Vertex AI–backed agriculture assistance function specializing in sustainable farming, crop management, and rural development guidance.
• Expose a protected POST endpoint for agriculture assistance requests that validates input prompts and returns AI-generated responses.
• Add a new Agriculture Specialist section to the web UI allowing users to submit agriculture-related queries and view responses.

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[sourcery-ai]

Reviewer's Guide

Implements a new Agriculture Specialist AI role by adding a dedicated backend generation function, a protected API endpoint, a frontend section with input/response handling, and full English/Spanish localization wiring.

Sequence diagram for Agriculture Specialist assistance request flow

sequenceDiagram
    actor User
    participant Browser
    participant FrontendJS
    participant FlaskApp
    participant GoogleAI
    participant VertexAI

    User->>Browser: Click agriculture-assistance-btn
    Browser->>FrontendJS: DOM click event
    FrontendJS->>FrontendJS: Read agriculture-assistance-input
    FrontendJS->>FrontendJS: getApiKey prompt
    FrontendJS->>FlaskApp: POST /api/v1/agriculture/assistance
    note over FrontendJS,FlaskApp: Headers: Content-Type, X-API-Key
    FlaskApp->>FlaskApp: require_api_key validation
    FlaskApp->>FlaskApp: Parse JSON, validate prompt
    FlaskApp->>GoogleAI: provide_agriculture_assistance(prompt)
    GoogleAI->>VertexAI: generate_content(generation_prompt)
    VertexAI-->>GoogleAI: Generated agriculture assistance text
    GoogleAI-->>FlaskApp: message text
    FlaskApp-->>FrontendJS: JSON { status, message }
    FrontendJS-->>Browser: Update agriculture-assistance-response
    Browser-->>User: Display agriculture specialist answer

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Class diagram for new Agriculture Specialist backend functions

classDiagram
    class FlaskApp {
        +agriculture_assistance_endpoint(): Response
    }

    class GoogleAI {
        +provide_agriculture_assistance(prompt: str): str
    }

    class RequireApiKey {
        +__call__(func): function
    }

    class VertexAIGenerativeModel {
        +model_name: str
        +generate_content(prompt: str): object
    }

    FlaskApp --> GoogleAI : uses
    FlaskApp --> RequireApiKey : decorated_by
    GoogleAI --> VertexAIGenerativeModel : instantiates

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File-Level Changes

Change	Details	Files
Add frontend UI and client-side logic for the Agriculture Specialist role.	Introduce a new Agriculture Specialist card in the services list to advertise the role. Add a dedicated Agriculture Specialist section with textarea, submit button, and response container for user interaction. Wire up a click handler that collects user input, prompts for an API key, calls the agriculture assistance API endpoint, and renders success or error messages in the response area.	frontend/templates/index.html frontend/static/js/script.js
Add backend AI integration and API endpoint for agriculture assistance.	Create a provide_agriculture_assistance function that builds an expert agriculture/sustainable development system prompt, calls the Vertex AI Gemini model, and returns the generated text or a formatted error. Expose a new POST /api/v1/agriculture/assistance Flask route, protected by API key, which validates the prompt payload, delegates to the agriculture assistance provider, and wraps the result in a JSON response structure.	google_ai.py app.py
Extend localization catalog to cover the Agriculture Specialist UI strings in English and Spanish.	Add new gettext message entries for the Agriculture Specialist titles, descriptions, placeholders, and error messages to the base POT file. Provide corresponding Spanish translations in the es messages catalog so the new UI is fully localized.	messages.pot translations/es/LC_MESSAGES/messages.po

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[sourcery-ai]

Hey - I've left some high level feedback:

• In the frontend handler for agriculture assistance, consider validating that input.value is non-empty before making the request so users get immediate feedback instead of a backend 400 error.
• The frontend error handling assumes the backend returns { error: ... }, but the agriculture endpoint currently returns { status, message } on success and { error } only for missing prompts; it may be worth standardizing the error payload shape or aligning the frontend parsing logic to avoid inconsistent user-facing messages.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- In the frontend handler for agriculture assistance, consider validating that `input.value` is non-empty before making the request so users get immediate feedback instead of a backend 400 error.
- The frontend error handling assumes the backend returns `{ error: ... }`, but the agriculture endpoint currently returns `{ status, message }` on success and `{ error }` only for missing prompts; it may be worth standardizing the error payload shape or aligning the frontend parsing logic to avoid inconsistent user-facing messages.

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