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- Added `provide_digital_twins_assistance` to `google_ai.py` with specialized prompt. - Added `/api/v1/digital-twins/assistance` endpoint to `app.py`. - Updated `index.html` with a new service card and interaction section for Digital Twins. - Updated `script.js` to handle the new service interactions. - Updated translation files (POT, PO, MO) for English and Spanish. Co-authored-by: GYFX35 <134739293+GYFX35@users.noreply.github.com>
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Reviewer's GuideImplements a new Digital Twins Specialist role end-to-end by wiring a Gemini-based backend helper through a secured Flask API endpoint to new UI components on the landing page, with supporting JavaScript and localization updates. Sequence diagram for Digital Twins Specialist assistance flowsequenceDiagram
actor User
participant Browser
participant FlaskApp
participant GoogleAIModule
participant VertexAIGemini
User->>Browser: Click digital-twins-assistance-btn
Browser->>User: Prompt for API key via getApiKey
User-->>Browser: Enter API key
Browser->>FlaskApp: POST /api/v1/digital-twins/assistance
activate FlaskApp
FlaskApp->>FlaskApp: require_api_key validation
FlaskApp->>FlaskApp: Parse JSON and validate prompt
FlaskApp->>GoogleAIModule: provide_digital_twins_assistance(prompt)
activate GoogleAIModule
GoogleAIModule->>VertexAIGemini: generate_content(generation_prompt)
activate VertexAIGemini
VertexAIGemini-->>GoogleAIModule: Response with text
deactivate VertexAIGemini
GoogleAIModule-->>FlaskApp: message
deactivate GoogleAIModule
FlaskApp-->>Browser: JSON { status, message }
deactivate FlaskApp
Browser->>Browser: Update digital-twins-assistance-response
Browser-->>User: Display assistant response
Class-style diagram for Digital Twins Specialist backend componentsclassDiagram
class GoogleAIModule {
+str provide_digital_twins_assistance(prompt)
}
class FlaskApp {
+digital_twins_assistance_endpoint()
}
class VertexAIGemini {
+generate_content(generation_prompt)
}
class RequireApiKeyDecorator {
+wrap(view_function)
}
FlaskApp ..> RequireApiKeyDecorator : uses
FlaskApp ..> GoogleAIModule : calls
GoogleAIModule ..> VertexAIGemini : uses model
note for GoogleAIModule "Encapsulates Gemini 1.5 Flash prompt construction and response handling for digital twins assistance"
File-Level Changes
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Hey - I've left some high level feedback:
- In the digital twins fetch handler, you assume all non-OK responses are JSON with an
errorfield; consider guarding with a content-type check or falling back toresponse.text()to avoid additional errors when the backend returns non-JSON bodies. - Before sending the prompt in
script.js, consider trimming and validating the textarea value client-side (e.g., empty or whitespace-only checks) to avoid unnecessary 400s from the/digital-twins/assistanceendpoint and to give faster feedback to users.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- In the digital twins fetch handler, you assume all non-OK responses are JSON with an `error` field; consider guarding with a content-type check or falling back to `response.text()` to avoid additional errors when the backend returns non-JSON bodies.
- Before sending the prompt in `script.js`, consider trimming and validating the textarea value client-side (e.g., empty or whitespace-only checks) to avoid unnecessary 400s from the `/digital-twins/assistance` endpoint and to give faster feedback to users.Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
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This PR adds a new 'Digital Twins Specialist' AI role to the platform.
Key changes:
provide_digital_twins_assistanceingoogle_ai.pyusing the Gemini 1.5 Flash model./api/v1/digital-twins/assistanceinapp.py, protected by API key authentication.index.html).script.jsto manage the UI state and API communication for the new role.Verified the changes visually and functionally using Playwright.
PR created automatically by Jules for task 14907178079021782652 started by @GYFX35
Summary by Sourcery
Add a new Digital Twins Specialist AI capability exposed via a secured backend endpoint and integrated into the main landing page UI.
New Features:
Enhancements: