shoot date update service manual

.env.example

@@ -0,0 +1,19 @@
+# ==============================================================================
+# NBA_Go Environment Configuration
+# Target: Hetzner Coolify Server (178.105.149.129)
+# ==============================================================================
+
+# Database Credentials
+DB_USER=postgres
+DB_PASSWORD=postgrespassword
+DB_NAME=appdb
+DB_SSLMODE=disable
+
+# HAProxy Ingress Endpoints (PostgreSQL 17 Replicated Cluster)
+DB_WRITE_HOST=178.105.149.129
+DB_WRITE_PORT=5437
+DB_READ_HOST=178.105.149.129
+DB_READ_PORT=5438
+
+# Administrative Auth Token
+ADMIN_SECRET=nba_super_secret_admin_token_2025

.gitignore

@@ -48,3 +48,5 @@ docs/digital_ocean/digitaal ocean llms.txt
 .docs
 
 NBA_Go
+
+.env.old

README.md

@@ -160,17 +160,38 @@ Services will be available at:
 
 ### Importing Data
 
-The application has a dual-mode entry point. To run the initial data import (migrations + scraping):
+The application has a dual-mode entry point. To run data imports (migrations + scraping):
 
+#### 1. Local CLI Execution (Recommended for targeted imports)
+```bash
+# Export environment variables from .env
+export $(grep -v '^#' .env | xargs)
+
+# Run the import pipeline
+go run . import-data
+```
+
+#### 2. Local Docker Stack
 ```bash
 docker-compose -f docker-compose.local.yml run --rm db-init
 ```
 
-This runs `main.go` with the `import-data` argument, which:
+#### 3. Production / Coolify Deployment
+```bash
+docker compose --profile init run --rm db-init
+```
 
-1. Runs all GORM AutoMigrate operations
-2. Scrapes Basketball Reference for player advanced stats, totals, game schedules, and box scores
-3. Upserts all data into PostgreSQL
+---
+
+### Ingestion Pipeline & Scraping Architecture
+
+The data import engine (`import.go` & `services/`) features a robust, resilient ingestion workflow designed to safely handle thousands of games:
+
+- **20-Day Temporal Session Chunks**: Large date ranges (such as full seasons) are automatically partitioned into 20-day sliding windows (~80–120 games per chunk).
+- **Immediate Incremental Persistence**: Scraped data (`line_scores`, `player_game_basic_stats`, `player_game_adv_stats`, `team_game_basic_stats`, `team_game_adv_stats`) is immediately committed and upserted into PostgreSQL at the end of each chunk rather than held in memory until the end of the run.
+- **Inter-Chunk Cool-Off Period**: Enforces a 20-second pause ($\pm 25\%$ jitter) between chunks to avoid rate limiting and IP blocks from upstream sources.
+- **Smart Skip & Idempotent Resumption**: Automatically checks `WHERE game_id NOT IN (SELECT DISTINCT game_id FROM line_scores WHERE deleted_at IS NULL)` so completed games/chunks are instantly skipped.
+- **Graceful Interrupt Handling (`Ctrl+C`)**: Captures `SIGINT`/`SIGTERM` via `context.Context`. If interrupted, in-flight scraped games in the active chunk are flushed to the database before cleanly exiting without data loss.
 
 ### Stopping
 

docker-compose.yml

@@ -1,8 +1,10 @@
-# "import-data" disabled
 services:
   db-init:
     build: .
     command: ["/nba_go", "import-data"]
+    profiles:
+      - init
+      - import
     networks:
       - coolify-shared
       # - api_network

import.go

@@ -1,9 +1,13 @@
 package main
 
 import (
+	"context"
+	"errors"
 	"log"
+	"os"
+	"os/signal"
+	"syscall"
 	"time"
-	"fmt"
 
 	"github.com/nprasad2077/NBA_Go/services"
 	"github.com/nprasad2077/NBA_Go/utils"
@@ -12,7 +16,7 @@ import (
 
 // importPlayerAdvanced fetches and stores advanced stats for seasons
 func importPlayerAdvanced(db *gorm.DB) {
-	for season := 2001; season <= 2002; season++ {
+	for season := 2001; season <= 2001; season++ {
 		if err := services.FetchAndStorePlayerAdvancedScrapedStats(db, season, false); err != nil {
 			log.Printf("advanced import failed for %d: %v", season, err)
 		}
@@ -24,7 +28,7 @@ func importPlayerAdvanced(db *gorm.DB) {
 
 // importPlayerAdvancedPlayoffs fetches and stores advanced stats for playoffs seasons
 func importPlayerAdvancedPlayoffs(db *gorm.DB) {
-	for season := 2001; season <= 2002; season++ {
+	for season := 2001; season <= 2001; season++ {
 		if err := services.FetchAndStorePlayerAdvancedScrapedStats(db, season, true); err != nil {
 			log.Printf("advanced import failed for %d: %v", season, err)
 		}
@@ -36,7 +40,7 @@ func importPlayerAdvancedPlayoffs(db *gorm.DB) {
 
 // importPlayerTotalsScrape fetches & stores scraped regular-season total stats
 func importPlayerTotalsScrape(db *gorm.DB) {
-	for season := 2001; season <= 2002; season++ {
+	for season := 2001; season <= 2001; season++ {
 		if err := services.FetchAndStorePlayerTotalScrapedStats(db, season, false); err != nil {
 			log.Printf("scraped totals import failed for %d: %v", season, err)
 		}
@@ -48,7 +52,7 @@ func importPlayerTotalsScrape(db *gorm.DB) {
 
 // importPlayerPlayoffsScrape fetches & stores scraped playoff total stats
 func importPlayerTotalsPlayoffsScrape(db *gorm.DB) {
-	for season := 2001; season <= 2002; season++ {
+	for season := 2001; season <= 2001; season++ {
 		if err := services.FetchAndStorePlayerTotalScrapedStats(db, season, true); err != nil {
 			log.Printf("scraped playoffs import failed for %d: %v", season, err)
 		}
@@ -62,7 +66,7 @@ func importPlayerTotalsPlayoffsScrape(db *gorm.DB) {
 func importGameSchedules(db *gorm.DB) {
 	months := []string{"october", "november", "december", "january", "february", "march", "april", "may", "june"}
 
-	for season := 2001; season <= 2002; season++ {
+	for season := 2001; season <= 2001; season++ {
 		log.Printf("--- Starting Game Schedule Import for Season: %d ---", season)
 		for _, month := range months {
 			if err := services.FetchAndStoreGameSchedule(db, season, month); err != nil {
@@ -77,18 +81,23 @@ func importGameSchedules(db *gorm.DB) {
 }
 
 // importBoxScores fetches and stores all box score data (line scores, player/team stats)
-// for games within a recent date range.
+// in safe 20-day session chunks with cool-off pauses and immediate database upserts.
 func importBoxScores(db *gorm.DB) {
+	ctx, stop := signal.NotifyContext(context.Background(), os.Interrupt, syscall.SIGTERM)
+	defer stop()
+
 	from := time.Date(2000, time.October, 31, 0, 0, 0, 0, time.UTC)
 	to := time.Date(2001, time.June, 30, 23, 59, 59, 0, time.UTC)
 
-	dateRangeComment := fmt.Sprintf("--- Starting Box Score Data Import for games between %s and %s ---",
-		from.Format("January 2, 2006"),
-		to.Format("January 2, 2006"))
+	chunkDays := 20             // 20-day session chunks
+	coolOff := 20 * time.Second // 20s cool-off with jitter between chunks
+	skipExisting := true        // Automatically skip games that already have line scores
 
-	log.Println(dateRangeComment)
-
-	if err := services.FetchAndStoreBoxScoreDataForDateRange(db, from, to); err != nil {
+	if err := services.FetchAndStoreBoxScoreDataChunked(ctx, db, from, to, chunkDays, coolOff, skipExisting); err != nil {
+		if errors.Is(err, context.Canceled) {
+			log.Println("👋 Box score import interrupted by user. Safe to resume anytime!")
+			return
+		}
 		log.Fatalf("Box score import failed: %v", err)
 	}
 
@@ -175,8 +184,8 @@ func importPlayerShotCharts(db *gorm.DB) {
 
 // importMarkPlayoffGames marks games as playoff using the dedicated Basketball Reference playoff schedule.
 func importMarkPlayoffGames(db *gorm.DB) {
-	for season := 2001; season <= 2002; season++ {
-		if err := services.FetchAndMarkPlayoffGames(db, season+1); err != nil {
+	for season := 2001; season <= 2001; season++ {
+		if err := services.FetchAndMarkPlayoffGames(db, season); err != nil {
 			log.Printf("playoff marking failed for %d: %v", season, err)
 		}
 		log.Printf("Playoff games marked for season: %d", season)

services/box_score_scrape_service.go

@@ -1,6 +1,7 @@
 package services
 
 import (
+	"context"
 	"fmt"
 	"log"
 	"net/http"
@@ -43,53 +44,154 @@ func uncommentDoc(doc *goquery.Document) *goquery.Document {
 	return doc
 }
 
-// FetchAndStoreBoxScoreDataForDateRange fetches games and batch processes their box scores concurrently.
+// FetchAndStoreBoxScoreDataForDateRange provides backward-compatibility by delegating
+// to the chunked scraper with default 20-day chunks and 20s cool-off.
 func FetchAndStoreBoxScoreDataForDateRange(db *gorm.DB, from, to time.Time) error {
+	return FetchAndStoreBoxScoreDataChunked(context.Background(), db, from, to, 20, 20*time.Second, true)
+}
+
+// FetchAndStoreBoxScoreDataChunked processes box scores in temporal chunks (e.g. 20 days)
+// with immediate per-chunk database upserts, cool-off periods, and graceful interrupt handling.
+func FetchAndStoreBoxScoreDataChunked(
+	ctx context.Context,
+	db *gorm.DB,
+	from, to time.Time,
+	chunkDays int,
+	coolOffBase time.Duration,
+	skipExisting bool,
+) error {
+	if chunkDays <= 0 {
+		chunkDays = 20
+	}
+
+	chunkDuration := time.Duration(chunkDays) * 24 * time.Hour
+	totalDays := int(to.Sub(from).Hours()/24) + 1
+
+	log.Printf("🚀 Starting Chunked Box Score Import: %s to %s (%d total days, %d days/chunk)",
+		from.Format("2006-01-02"), to.Format("2006-01-02"), totalDays, chunkDays)
+
+	currentStart := from
+	chunkIndex := 1
+	totalGamesScraped := 0
+
+	for currentStart.Before(to) {
+		select {
+		case <-ctx.Done():
+			log.Println("🛑 Interrupt received. Halting further chunk processing.")
+			return ctx.Err()
+		default:
+		}
+
+		currentEnd := currentStart.Add(chunkDuration)
+		if currentEnd.After(to) {
+			currentEnd = to
+		}
+
+		log.Printf("\n📦 ========================================================")
+		log.Printf("📦 [Chunk %d] Window: %s to %s", chunkIndex, currentStart.Format("2006-01-02"), currentEnd.Format("2006-01-02"))
+		log.Printf("📦 ========================================================")
+
+		// 1. Query games for this chunk
 		var games []models.Game
-	if err := db.Where("date >= ? AND date < ?", from, to.Add(24*time.Hour)).Find(&games).Error; err != nil {
-		return fmt.Errorf("failed to query games from DB: %w", err)
+		query := db.Where("date >= ? AND date <= ?", currentStart, currentEnd.Add(24*time.Hour))
+		if skipExisting {
+			query = query.Where("game_id NOT IN (SELECT DISTINCT game_id FROM line_scores WHERE deleted_at IS NULL)")
+		}
+
+		if err := query.Order("date ASC").Find(&games).Error; err != nil {
+			return fmt.Errorf("failed to query games for chunk %d: %w", chunkIndex, err)
 		}
 
 		if len(games) == 0 {
-		log.Println("No games found to process in the specified date range.")
-		return nil
+			log.Printf("⏩ [Chunk %d] All games in this window are already scraped or none found. Skipping.", chunkIndex)
+			currentStart = currentEnd.Add(24 * time.Hour)
+			chunkIndex++
+			continue
 		}
-	log.Printf("Found %d games to process. Initializing concurrent scraping...", len(games))
 
-	// --- Concurrency Setup ---
+		log.Printf("Found %d pending games to scrape in Chunk %d. Starting worker pool...", len(games), chunkIndex)
+
+		// 2. Concurrently scrape the chunk's games
+		results := processGamesWithWorkers(ctx, games)
+
+		// 3. IMMEDIATELY UPSERT chunk results to DB
+		if len(results) > 0 {
+			log.Printf("💾 Saving and upserting data for %d games from Chunk %d into PostgreSQL...", len(results), chunkIndex)
+			if err := persistScrapedResults(db, results); err != nil {
+				log.Printf("❌ Failed to upsert results for chunk %d: %v", chunkIndex, err)
+				return err
+			}
+			totalGamesScraped += len(results)
+			log.Printf("✅ [Chunk %d] Successfully saved %d games to database. (Total so far: %d)",
+				chunkIndex, len(results), totalGamesScraped)
+		}
+
+		// Check if interrupted during chunk processing
+		if ctx.Err() != nil {
+			log.Printf("🛑 Process interrupted! All data scraped up to Chunk %d was safely committed to DB.", chunkIndex)
+			return ctx.Err()
+		}
+
+		// 4. Cool-off pause between chunks
+		if currentEnd.Before(to) {
+			log.Printf("😴 Cool-off period: Pausing before Chunk %d...", chunkIndex+1)
+			utils.SleepWithJitter(coolOffBase)
+		}
+
+		currentStart = currentEnd.Add(24 * time.Hour)
+		chunkIndex++
+	}
+
+	log.Printf("\n🎉 All Box Score Chunks Finished! Successfully processed %d total games.", totalGamesScraped)
+	return nil
+}
+
+// processGamesWithWorkers runs the worker pool for a slice of games.
+func processGamesWithWorkers(ctx context.Context, games []models.Game) []ScrapedResult {
 	jobs := make(chan models.Game, len(games))
-	results := make(chan ScrapedResult, len(games))
+	resultsChan := make(chan ScrapedResult, len(games))
 	var wg sync.WaitGroup
 
 	// Start worker goroutines
 	for w := 1; w <= numWorkers; w++ {
 		wg.Add(1)
-		go scrapeAndParseWorker(w, jobs, results, &wg)
+		go scrapeAndParseWorker(ctx, w, jobs, resultsChan, &wg)
 	}
 
 	// Send jobs to the workers
 	for _, game := range games {
-		jobs <- game
+		select {
+		case <-ctx.Done():
+			break
+		case jobs <- game:
+		}
 	}
 	close(jobs)
 
 	// Wait for all workers to finish
 	wg.Wait()
-	close(results)
+	close(resultsChan)
 
-	// --- Aggregation & Final Upsert ---
-	log.Println("All scraping complete. Aggregating results for final batch upsert...")
+	var validResults []ScrapedResult
+	for res := range resultsChan {
+		if res.Err != nil {
+			log.Printf("⚠️ Worker failed on game %s: %v", res.GameID, res.Err)
+			continue
+		}
+		validResults = append(validResults, res)
+	}
+	return validResults
+}
+
+// persistScrapedResults extracts and batch-upserts line scores, player stats, and team stats.
+func persistScrapedResults(db *gorm.DB, results []ScrapedResult) error {
 	var allPlayerBasicStats []models.PlayerGameBasicStat
 	var allPlayerAdvStats []models.PlayerGameAdvStat
 	var allTeamBasicStats []models.TeamGameBasicStat
 	var allTeamAdvStats []models.TeamGameAdvStat
 	var allLineScores []models.LineScore
 
-	for res := range results {
-		if res.Err != nil {
-			log.Printf("A worker failed on game %s: %v", res.GameID, res.Err)
-			continue
-		}
+	for _, res := range results {
 		allPlayerBasicStats = append(allPlayerBasicStats, res.PlayerBasicStats...)
 		allPlayerAdvStats = append(allPlayerAdvStats, res.PlayerAdvStats...)
 		allTeamBasicStats = append(allTeamBasicStats, res.TeamBasicStats...)
@@ -97,7 +199,7 @@ func FetchAndStoreBoxScoreDataForDateRange(db *gorm.DB, from, to time.Time) erro
 		allLineScores = append(allLineScores, res.LineScores...)
 	}
 
-	// Upsert Line Scores first
+	// Upsert Line Scores
 	if len(allLineScores) > 0 {
 		if err := db.Clauses(clause.OnConflict{
 			Columns:   []clause.Column{{Name: "game_id"}, {Name: "team"}},
@@ -105,40 +207,55 @@ func FetchAndStoreBoxScoreDataForDateRange(db *gorm.DB, from, to time.Time) erro
 		}).Create(&allLineScores).Error; err != nil {
 			return fmt.Errorf("failed to upsert line scores: %w", err)
 		}
-		log.Printf("Successfully upserted %d line scores.", len(allLineScores))
 	}
 
-	// Call the batch upsert function with the fully aggregated data
+	// Batch upsert Player and Team Stats
 	if err := batchUpsertAll(db, allPlayerBasicStats, allPlayerAdvStats, allTeamBasicStats, allTeamAdvStats); err != nil {
-		return fmt.Errorf("final batch upsert failed: %w", err)
+		return fmt.Errorf("batch upsert failed: %w", err)
 	}
 
-	log.Printf("Successfully upserted all box score data for %d games.", len(games))
 	return nil
 }
 
 // scrapeAndParseWorker is a worker goroutine that receives games, scrapes them, and sends back the result.
-func scrapeAndParseWorker(id int, jobs <-chan models.Game, results chan<- ScrapedResult, wg *sync.WaitGroup) {
+func scrapeAndParseWorker(ctx context.Context, id int, jobs <-chan models.Game, results chan<- ScrapedResult, wg *sync.WaitGroup) {
 	defer wg.Done()
 
-	// --- Stagger the start of each worker ---
-	// Calculate an offset based on the worker's ID to spread out the initial requests.
-	// We divide the base delay by the number of workers to get an even interval.
+	// Stagger worker start
 	if numWorkers > 1 {
 		staggerAmount := time.Duration(int64(baseDelay) / int64(numWorkers))
 		initialDelay := time.Duration(id-1) * staggerAmount
 		log.Printf("Worker %d: Staggering start with an initial delay of %v", id, initialDelay)
-		time.Sleep(initialDelay)
+		select {
+		case <-ctx.Done():
+			return
+		case <-time.After(initialDelay):
+		}
+	}
+
+	for {
+		select {
+		case <-ctx.Done():
+			log.Printf("Worker %d: Interrupted, finishing up...", id)
+			return
+		case game, ok := <-jobs:
+			if !ok {
+				return
 			}
 
-	for game := range jobs {
 			log.Printf("🐝  Worker %d: Processing game %s", id, game.GameID)
 			fullURL := boxScoreURLBase + game.BoxScoreURL
 
 			utils.SleepWithJitter(baseDelay)
 			time.Sleep(2500 * time.Millisecond)
 
-		req, err := http.NewRequest("GET", fullURL, nil)
+			select {
+			case <-ctx.Done():
+				return
+			default:
+			}
+
+			req, err := http.NewRequestWithContext(ctx, "GET", fullURL, nil)
 			if err != nil {
 				results <- ScrapedResult{GameID: game.GameID, Err: fmt.Errorf("failed to create request: %w", err)}
 				continue
@@ -178,6 +295,7 @@ func scrapeAndParseWorker(id int, jobs <-chan models.Game, results chan<- Scrape
 				Err:              nil,
 			}
 		}
+	}
 }
 
 // parseBoxScores now returns the slices instead of calling the DB.