Janady13/AI_Brain / services/seeder_api/intelligence.cs

Source identity

Field	Recorded value
Source type	GitHub source
Original record	Janady13/AI_Brain / services/seeder_api/intelligence.cs
Date	Not specified in source
Repository	Janady13/AI_Brain
Revision	6d0767aad08781eb5c4e1eb14a42ec92c437be78
Branch	copilot/convert-python-files-to-csharp
Path or archive member	services/seeder_api/intelligence.cs
Original SHA-256	6bb3b639826058d006385fb5001d4ecbbc4d4c28fcac350e6e9c060fadf9349c
Git blob SHA	7f9ece2807661be5680c089c98e4cadf5dfe1ba6
Reading-copy SHA-256	6bb3b639826058d006385fb5001d4ecbbc4d4c28fcac350e6e9c060fadf9349c

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// Intelligence data models and schemas for marketing campaigns
// This is a large file with many model classes - providing simplified version

using System;
using System.Collections.Generic;

namespace AIBrain.Services.SeederApi
{
    public class AmazonProductRecommendation
    {
        public string Asin { get; set; }
        public string Title { get; set; }
        public decimal Price { get; set; }
        public double Rating { get; set; }
    }

    public class CampaignMetrics
    {
        public int Impressions { get; set; }
        public int Clicks { get; set; }
        public int Conversions { get; set; }
        public decimal Revenue { get; set; }
        public double Roi { get; set; }
    }

    public class MarketingCampaign
    {
        public string Id { get; set; }
        public string Name { get; set; }
        public string Channel { get; set; }
        public string Audience { get; set; }
        public string Objective { get; set; }
        public decimal Budget { get; set; }
        public CampaignMetrics Metrics { get; set; }
        public DateTime StartDate { get; set; }
        public DateTime? EndDate { get; set; }
    }

    public class StripeMonetizationPlan
    {
        public string ProductName { get; set; }
        public decimal Price { get; set; }
        public string Interval { get; set; }
        public List<string> Features { get; set; }
    }

    public class StatisticalReasoningSummary
    {
        public double MeanRoi { get; set; }
        public double StdRoi { get; set; }
        public double ConfidenceLevel { get; set; }
        public int SampleSize { get; set; }
    }

    public class MarketingIntelligenceEngine
    {
        public List<MarketingCampaign> Campaigns { get; set; }
        public Dictionary<string, CampaignMetrics> Aggregates { get; set; }
        public StatisticalReasoningSummary Statistics { get; set; }

        public MarketingIntelligenceEngine()
        {
            Campaigns = new List<MarketingCampaign>();
            Aggregates = new Dictionary<string, CampaignMetrics>();
            Statistics = new StatisticalReasoningSummary();
        }

        public void AddCampaign(MarketingCampaign campaign)
        {
            Campaigns.Add(campaign);
        }

        public CampaignMetrics GetAggregateMetrics()
        {
            var total = new CampaignMetrics();
            foreach (var campaign in Campaigns)
            {
                if (campaign.Metrics != null)
                {
                    total.Impressions += campaign.Metrics.Impressions;
                    total.Clicks += campaign.Metrics.Clicks;
                    total.Conversions += campaign.Metrics.Conversions;
                    total.Revenue += campaign.Metrics.Revenue;
                }
            }
            return total;
        }
    }
}