CC-76: AI Reporting Dashboard Proof of Concept

[kevbang]

Quick demo of what the changes do here:

AI_PoC.mov

Change Summary:

• I am using the Gemini API to use AI models for static analysis. In the GitHub repo settings, I created a new secret called GOOGLE_API_KEY and attached the API key so that our app has access to the model.
• I build a basic prompt and provide the GenAI model test_data.csv so that it can do some static analysis. The GenAI's response is then cleaned up and displayed on our /dashboard endpoint.

I also made some changes under the doc/ directory. I included information about Terraform and our dashboard. I'm slowly working on adding documentation on everything that we have so we have something to reference.

** NOTE: this is a temporary place holder**

The GitHub copilot review explains what each file is for.

[Copilot]

Pull request overview

This pull request introduces an AI-powered reporting dashboard proof of concept that integrates Google's Gemini API to analyze restaurant order data. The implementation adds a "Weekly Report Analysis" section to the dashboard that performs static analysis on CSV data and displays structured insights including metrics, recommendations, and anomaly detection.

Changes:

• Added Google.GenAI SDK dependency (version 0.13.1) for AI-powered analytics
• Created AIReportingService to handle CSV analysis via Gemini API with structured JSON output
• Implemented AI analysis DTOs (AIAnalysisResultDTO, Metric, Section, Anomaly) to structure API responses
• Extended Dashboard.razor with interactive UI cards displaying AI-generated insights
• Added test data CSV with 100 sample order records including intentional anomalies
• Updated documentation to describe the new analytics dashboard functionality
• Configured GOOGLE_API_KEY environment variable in deployment workflow

Reviewed changes

Copilot reviewed 8 out of 9 changed files in this pull request and generated 16 comments.

Show a summary per file

File	Description
CulinaryCommand.csproj	Adds Google.GenAI package dependency for Gemini API integration
Program.cs	Adds namespace import for AI reporting services (currently unused)
Dashboard.razor	Implements UI for displaying AI analysis results with loading states and structured data cards
AIReportingService.cs	Core service that reads CSV, constructs prompts, calls Gemini API, and deserializes responses
AIAnalysisResultDTO.cs	Defines data transfer objects for structured AI analysis results
test_data.csv	Provides sample restaurant order data for analysis, including test anomalies
docs/index.md	Documents the AI dashboard feature and expands Terraform documentation with accordion UI
deploy.yml	Configures GOOGLE_API_KEY environment variable for production deployment

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[antphan12]

Everything looks good. Nice demo video!

[antphan12]

Reapproving

[rrrockey]

Looks great, seems doable with the capabilities of MarginEdge