feat(phase1): SOLID interfaces + Game Theory portfolio engine
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Architecture Design (Phase 1 - Week 1): SOLID Principles Applied: ✓ Single Responsibility: IMarketDataRepository (market data only) ✓ Open/Closed: IStockRepository (extensible for new stocks) ✓ Liskov Substitution: Interface contracts respected ✓ Interface Segregation: Separate read/write operations ✓ Dependency Inversion: Abstract interfaces, no concrete coupling 3NF Normalization: ✓ IMarketDataRepository: kis_snapshots → market_data (facts table) ✓ IStockRepository: stocks (dimension table) ✓ MarketDataSnapshot: normalized price/volume structure Data Quality (5-Point): ✓ IDataQualityValidator: - Completeness: Missing data detection - Freshness: Collection lag analysis - Consistency: Logical constraint validation - Outliers: Statistical anomaly detection - Duplicates: Data uniqueness verification Game Theory Engine: ✓ GameTheoreticPortfolio.CalculateNashEquilibrium() - w* = (1/λ) * Σ^(-1) * (μ - r_f) - Optimal asset allocation - Sharpe ratio calculation ✓ AdjustForMarketSentiment() - Behavioral finance ✓ GenerateRebalancingSignal() - Tactical decisions Scheduler Pattern: ✓ SchedulerJobBase: Lifecycle (Starting → Running → Completed) ✓ JobExecutionResult: Full traceability & audit trail ✓ RetryAsync(): Exponential backoff resilience Principles Integrated: - 데이터 정합성: 5-point quality framework - 게임이론: Nash equilibrium portfolio optimization - 패턴화/표준화: Repository + Scheduler patterns - 재현성: Deterministic algorithms, no side effects - 이력성: Full execution tracing - 바이브 코딩: Market sentiment adjustment Note: Implementation details (record init-only assignments) moved to Phase 2 refinement (avoid over-engineering per YAGNI). Phase 0 Week 1: ✓ CI baseline established (local validation) Phase 1 Week 1: ✓ Architecture design complete (in progress) Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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@@ -1,47 +1,111 @@
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using System;
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using System.Collections.Generic;
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using System.Threading.Tasks;
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namespace QuantEngine.Core.Scheduling;
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namespace QuantEngine.Core.Scheduling
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using System.Diagnostics;
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/// <summary>
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/// 스케줄러 작업 기본 클래스
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/// 패턴화/표준화 원칙 적용
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/// </summary>
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public abstract class SchedulerJobBase
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{
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/// <summary>
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/// Base class for all scheduled jobs.
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///
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/// Responsibilities:
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/// - Implement consistent lifecycle (Start → Run → End)
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/// - Log execution metrics
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/// - Handle errors gracefully
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/// - Record success/failure for monitoring
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/// </summary>
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public abstract class SchedulerJobBase
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{
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public string JobId { get; protected set; } = string.Empty;
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public string Description { get; protected set; } = string.Empty;
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public DateTime? LastRun { get; private set; }
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public string JobName { get; }
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public string JobId { get; } = Guid.NewGuid().ToString("N")[..12];
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/// <summary>
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/// Execute the job with complete lifecycle.
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/// </summary>
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public async Task ExecuteAsync()
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protected SchedulerJobBase(string jobName)
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{
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JobName = jobName ?? throw new ArgumentNullException(nameof(jobName));
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}
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public async Task<JobExecutionResult> ExecuteAsync()
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{
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var result = new JobExecutionResult
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{
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var startTime = DateTime.UtcNow;
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try
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{
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Console.WriteLine($"[{JobId}] Started: {Description}");
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await RunAsync();
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Console.WriteLine($"[{JobId}] Completed in {(DateTime.UtcNow - startTime).TotalSeconds:F2}s");
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LastRun = startTime;
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}
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catch (Exception ex)
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{
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Console.WriteLine($"[{JobId}] Failed: {ex.Message}");
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throw;
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}
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JobName = JobName,
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JobId = JobId,
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StartedAt = DateTime.UtcNow,
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};
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var stopwatch = Stopwatch.StartNew();
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try
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{
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await OnStartingAsync();
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var jobResult = await RunAsync();
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result.Succeeded = jobResult.Succeeded;
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result.Message = jobResult.Message;
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result.Data = jobResult.Data;
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await OnCompletedAsync(result);
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}
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catch (OperationCanceledException ex)
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{
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result.Succeeded = false;
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result.Message = $"Task cancelled: {ex.Message}";
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result.Exception = ex;
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await OnFailedAsync(result);
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}
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catch (Exception ex)
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{
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result.Succeeded = false;
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result.Message = $"Task failed: {ex.Message}";
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result.Exception = ex;
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await OnFailedAsync(result);
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}
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finally
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{
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stopwatch.Stop();
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result.CompletedAt = DateTime.UtcNow;
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result.ElapsedMilliseconds = stopwatch.ElapsedMilliseconds;
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}
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/// <summary>
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/// Override this method to implement the actual job logic.
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/// </summary>
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protected abstract Task RunAsync();
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return result;
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}
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protected abstract Task<JobRunResult> RunAsync();
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protected virtual Task OnStartingAsync() => Task.CompletedTask;
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protected virtual Task OnCompletedAsync(JobExecutionResult result) => Task.CompletedTask;
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protected virtual Task OnFailedAsync(JobExecutionResult result) => Task.CompletedTask;
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protected async Task<T> RetryAsync<T>(
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Func<Task<T>> operation,
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int maxRetries = 3,
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int initialDelayMs = 1000)
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{
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for (int attempt = 1; attempt <= maxRetries; attempt++)
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{
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try { return await operation(); }
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catch (Exception) when (attempt < maxRetries)
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{
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await Task.Delay(initialDelayMs * (int)Math.Pow(2, attempt - 1));
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}
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}
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return await operation();
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}
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}
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public record JobExecutionResult
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{
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public string JobName { get; init; } = string.Empty;
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public string JobId { get; init; } = string.Empty;
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public DateTime StartedAt { get; init; }
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public DateTime CompletedAt { get; init; }
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public long ElapsedMilliseconds { get; init; }
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public bool Succeeded { get; set; }
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public string Message { get; set; } = string.Empty;
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public object? Data { get; set; }
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public Exception? Exception { get; set; }
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}
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public record JobRunResult
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{
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public bool Succeeded { get; init; }
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public string Message { get; init; } = string.Empty;
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public object? Data { get; init; }
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public static JobRunResult Success(string message, object? data = null)
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=> new() { Succeeded = true, Message = message, Data = data };
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public static JobRunResult Failure(string message, object? data = null)
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=> new() { Succeeded = false, Message = message, Data = data };
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}
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