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Quality Translation Guide

Arte edited this page Jan 25, 2026 · 1 revision

Quality Translation (QT) System Guide

Overview

Quality Translation (QT) is a replacement for the previous Data Loss Prevention (DLP) system, offering enhanced capabilities through multi-language support, quality scoring, and 24-hour uptime tracking. It provides a comprehensive approach to content validation with global language awareness.

Version: 3.1+


🌍 Core Features

1. Multi-Language Support

QT supports 4 languages with full translation capabilities:

Language Code Primary Use Example
English en Default/Control Original content
Spanish es European Markets "protocolo de aprendizaje profundo"
Arabic ar MENA Region "بروتوكول التعلم العميق"
French fr European Markets "protocole d'apprentissage profond"

Language Enum

public enum Language { 
    English, 
    Spanish, 
    Arabic, 
    French 
}

2. Quality Scoring System

Content is assessed on a 0-100 scale with multiple criteria:

Scoring Heuristics

Criterion Impact Logic
Meme/Binary Detection -30 Penalizes .png, .jpg, base64, "meme" keyword
Large Single-Line Payloads -20 Detects binary data patterns (>200 chars, no newlines)
Punctuation Quality +15 Rewards ., !, ? presence
Multi-line Structure +20 Rewards proper formatting (50+ chars, contains \n)
Length Validation -25 Penalizes extremely short content (<10 chars)

Score Interpretation

90-100: Excellent     → Accepted without restriction
70-89:  Good          → Accepted, tracked
50-69:  Fair          → Accepted with monitoring
30-49:  Poor          → Tracked, optional warning
0-29:   Reject        → Content blocked

Example Quality Assessment

var qt = new QualityTranslation();

// Assess content quality
int score = qt.AssessQuality("This is well-formatted content with proper punctuation.");
// Returns: ~85 (good quality)

// Block low-quality content
int poorScore = qt.AssessQuality("test");
// Returns: ~25 (rejected)

3. 24-Hour Uptime Calendar

Real-time tracking of system availability across 24 hourly buckets:

Uptime Calendar Structure

Dictionary<int, int> uptimeCalendar = qt.GetUptimeCalendar();
// Output: { 0: 15, 1: 23, 2: 18, ..., 23: 12 }
// Key: Hour of day (0-23)
// Value: Number of events recorded in that hour

Recording Events

// Record uptime event (called during quality checks)
qt.RecordUptimeEvent();

// Get calendar
var calendar = qt.GetUptimeCalendar();
// Shows which hours had activity

// Get availability percentage
int availability = qt.GetUptimePercentage();
// Returns: 75% (18 active hours out of 24)

Availability Calculation

Availability % = (Active Hours / 24) × 100
Example: 18 hours with events ÷ 24 = 75%

4. Quality Metrics Storage

All translations and assessments are stored in persistent metrics:

QualityMetric Structure

public class QualityMetric
{
    public string? Content { get; set; }           // Original content
    public int QualityScore { get; set; }          // 0-100 score
    public DateTime Timestamp { get; set; }         // When assessed
    public Language DetectedLanguage { get; set; } // Source language
    public string? TranslatedContent { get; set; } // Translated version
}

Storing Metrics

qt.StoreQualityMetric(
    content: "Original text",
    qualityScore: 85,
    language: QualityTranslation.Language.English,
    translatedContent: "Texto original"
);

// Metrics saved to: ./.qt_metrics/quality_YYYYMMDD.json

Retrieving Metrics

// Get all metrics from last 24 hours
var metrics24h = qt.GetQualityMetrics(hoursBack: 24);

// Get all metrics from last week
var metrics7d = qt.GetQualityMetrics(hoursBack: 168);

🌐 Translation Methods

Translation to Spanish

string spanish = qt.Translate("deep learning protocol", QualityTranslation.Language.Spanish);
// Returns: "protocolo de aprendizaje profundo"

Supported Translations:

  • quality translationtraducción de calidad
  • uptime calendarcalendario de disponibilidad
  • 24-hour availabilitydisponibilidad de 24 horas
  • deep learning protocolprotocolo de aprendizaje profundo
  • state interfaceinterfaz de estado
  • aim interfaceinterfaz de objetivo
  • depth interfaceinterfaz de profundidad

Translation to Arabic

string arabic = qt.Translate("quality translation", QualityTranslation.Language.Arabic);
// Returns: "ترجمة الجودة"

Supported Translations:

  • quality translationترجمة الجودة
  • uptime calendarتقويم المدة الزمنية
  • 24-hour availabilityتوفر 24 ساعة
  • And more...

Translation to French

string french = qt.Translate("24-hour availability", QualityTranslation.Language.French);
// Returns: "disponibilité 24 heures"

Supported Translations:

  • quality translationtraduction de qualité
  • uptime calendarcalendrier de disponibilité
  • 24-hour availabilitydisponibilité 24 heures
  • And more...

🔧 Integration with Deep Learning Protocol

Default Usage in DeepLearningProtocol.cs

public class DeepLearningProtocol : AbstractCore, IAimInterface, IDepthInterface, IStateInterface
{
    private readonly QualityTranslation _qt = new();

    public void UpdateState(string newState)
    {
        // Assess quality before changing state
        int qualityScore = _qt.AssessQuality(newState);
        
        // Block if quality score too low
        if (qualityScore < 30)
        {
            Console.WriteLine("QT: Content quality score too low. State update blocked.");
            _qt.StoreQualityMetric(newState, qualityScore, QualityTranslation.Language.English, "");
            _currentState = "[QT-BLOCKED]";
            return;
        }

        // Record uptime event
        _qt.RecordUptimeEvent();
        _currentState = newState;
    }
}

Usage in StringCommandExecutor.cs

public class StringCommandExecutor
{
    private readonly QualityTranslation _qt;

    public StringCommandExecutor(ProtocolDbContext context, DeepLearningProtocol protocol, QualityTranslation qt)
    {
        _qt = qt ?? new QualityTranslation();
    }

    public string ExecuteCommand(string commandName, string? input = null)
    {
        // Check Quality Translation protection
        if (command.ApplyDLPProtection)
        {
            var qualityScore = _qt.AssessQuality(command.CommandPattern);
            if (qualityScore < 30)
            {
                _qt.StoreQualityMetric(command.CommandPattern, qualityScore, 
                    QualityTranslation.Language.English, "");
                return "[QT-BLOCKED] Command pattern quality score too low.";
            }
            // Record uptime event
            _qt.RecordUptimeEvent();
        }
        // ... rest of execution
    }
}

📊 Data Storage

Directory Structure

./.qt_metrics/
├── quality_20260125.json    # Daily quality metrics (JSON)
├── quality_20260126.json    # Daily quality metrics
└── uptime_20260125.log      # Hourly uptime log

Sample Quality Metrics JSON

{
  "Content": "This is well-formatted protocol documentation.",
  "QualityScore": 87,
  "Timestamp": "2026-01-25T14:30:45.123Z",
  "DetectedLanguage": "English",
  "TranslatedContent": "Esta es documentación de protocolo bien formateada."
}

Sample Uptime Log

[2026-01-25 14:30:45] Hour 14: Event recorded
[2026-01-25 15:02:18] Hour 15: Event recorded
[2026-01-25 15:45:33] Hour 15: Event recorded

🎯 Best Practices

1. Quality Threshold Configuration

Adjust the quality threshold based on your use case:

// Current default: score < 30 blocks content
// For stricter validation: score < 50 blocks content
// For looser validation: score < 10 blocks content

if (qualityScore < 30)  // Adjust this threshold
{
    // Block content
}

2. Multi-Language Content Handling

When processing international content:

// Assess quality
int score = qt.AssessQuality(content);

// Determine language and translate
string spanish = qt.Translate(content, QualityTranslation.Language.Spanish);

// Store metrics
qt.StoreQualityMetric(content, score, QualityTranslation.Language.English, spanish);

// Track uptime
qt.RecordUptimeEvent();

3. Uptime Monitoring

Monitor system availability:

// Get current availability
var calendar = qt.GetUptimeCalendar();
int availability = qt.GetUptimePercentage();

if (availability < 75)
{
    Console.WriteLine("Warning: System availability below 75%");
}

4. Quality-Based Routing

Route content based on quality scores:

int score = qt.AssessQuality(content);

if (score >= 90)
{
    ProcessAsHighPriority(content);
}
else if (score >= 70)
{
    ProcessAsNormal(content);
}
else if (score >= 50)
{
    LogAndReview(content);
}
else
{
    BlockAndAlert(content);
}

🚀 Migration from DLP to QT

Breaking Changes

Aspect DLP (Old) QT (New)
Method IsPotentialMeme() AssessQuality()
Return Value Boolean Integer (0-100)
Backup Method BackupState() Metrics storage
Storage ./.dlp_backups/ ./.qt_metrics/
Languages None 4 languages

Migration Code

// OLD (DLP)
var dlp = new DataLossPrevention();
if (dlp.IsPotentialMeme(content)) {
    dlp.BackupState(content);
    // Block
}

// NEW (QT)
var qt = new QualityTranslation();
int score = qt.AssessQuality(content);
if (score < 30) {
    qt.StoreQualityMetric(content, score, QualityTranslation.Language.English, "");
    // Block
}

📈 Monitoring & Analytics

Quality Score Trends

var recentMetrics = qt.GetQualityMetrics(hoursBack: 24);

int avgScore = (int)recentMetrics.Average(m => m.QualityScore);
int minScore = recentMetrics.Min(m => m.QualityScore);
int maxScore = recentMetrics.Max(m => m.QualityScore);

Console.WriteLine($"24h Average Quality: {avgScore}/100");
Console.WriteLine($"Range: {minScore}-{maxScore}");

Language Distribution

var metrics = qt.GetQualityMetrics(hoursBack: 168);
var byLanguage = metrics
    .GroupBy(m => m.DetectedLanguage)
    .Select(g => new { Language = g.Key, Count = g.Count() });

foreach (var group in byLanguage)
{
    Console.WriteLine($"{group.Language}: {group.Count} assessments");
}

Uptime SLA Tracking

// Get 7-day availability
var calendar = qt.GetUptimeCalendar();
int activeHours = calendar.Count(x => x.Value > 0);
double availability = (activeHours / 24.0) * 100;

if (availability >= 99.5)
    Console.WriteLine("✓ Exceeds 99.5% SLA");
else
    Console.WriteLine($"⚠ Currently at {availability:F1}%");

❓ FAQ

Q: What's the difference between DLP and QT?

A: DLP was a binary (safe/unsafe) filter. QT is a nuanced 0-100 quality scoring system with multi-language support and uptime tracking, enabling fine-grained content validation.

Q: Can I configure the quality threshold?

A: Yes, currently hardcoded to 30 in the code. You can modify the threshold check to any value (0-100) based on your requirements.

Q: How is quality score calculated?

A: Multiple heuristics: penalizes meme/binary patterns and short content, rewards proper punctuation and structure. See "Scoring Heuristics" section above.

Q: Can I add custom translation phrases?

A: Currently, translations are static in the Translate() method. Extend the method to include your custom phrases in the translation dictionaries.

Q: What happens to old DLP backups?

A: DLP backups in ./.dlp_backups/ are not automatically migrated. Archive them manually if needed; QT uses ./.qt_metrics/ instead.

Q: Does QT affect performance?

A: Minimal impact. Quality assessment is O(n) in content length. Uptime tracking is O(1). Metrics storage is asynchronous (best-effort).


📚 Related Documentation


Version History

Version Date Change
3.1 2026-01-25 Initial QT implementation
3.0 2025-12-XX Last DLP version

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