mirror of
https://github.com/nprasad2077/NBA_Go.git
synced 2026-09-22 14:05:13 +00:00
line score service isolated and working
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@@ -1,4 +1,3 @@
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// File: services/box_score_scrape_service.go
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package services
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import (
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@@ -17,6 +16,21 @@ import (
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const boxScoreURLBase = "https://www.basketball-reference.com"
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// uncommentDoc finds and replaces commented out HTML sections.
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func uncommentDoc(doc *goquery.Document) *goquery.Document {
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doc.Find("*").Contents().FilterFunction(func(i int, s *goquery.Selection) bool {
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return goquery.NodeName(s) == "#comment"
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}).Each(func(i int, s *goquery.Selection) {
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// Use .Data on the underlying html.Node to get the comment content.
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commentText := s.Nodes[0].Data
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if strings.Contains(commentText, "<table") {
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// Replace the comment node with its content.
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s.ReplaceWithHtml(commentText)
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}
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})
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return doc
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}
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// FetchAndStoreBoxScoreDataForDateRange fetches all games in a date range and scrapes their box scores.
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func FetchAndStoreBoxScoreDataForDateRange(db *gorm.DB, from, to time.Time) error {
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var games []models.Game
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@@ -62,13 +76,15 @@ func scrapeBoxScorePage(db *gorm.DB, url, gameID string) error {
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return err
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}
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// The content is often inside a comment, so we need to extract it.
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// 1. Uncomment all tables in the document first.
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doc = uncommentDoc(doc)
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// --- Scrape all data types from the page ---
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if err := parseAndStoreLineScore(db, doc, gameID); err != nil {
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return err
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// 2. Call the dedicated service to handle line scores.
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if err := FetchAndStoreLineScore(db, doc, gameID); err != nil {
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log.Printf("Error processing line score for game %s: %v", gameID, err)
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}
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// 3. The existing box score parser will now work because its tables are visible.
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if err := parseAndStoreBoxScores(db, doc, gameID); err != nil {
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return err
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}
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@@ -76,33 +92,6 @@ func scrapeBoxScorePage(db *gorm.DB, url, gameID string) error {
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return nil
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}
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// parseAndStoreLineScore scrapes the line score table.
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func parseAndStoreLineScore(db *gorm.DB, doc *goquery.Document, gameID string) error {
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var lineScores []models.LineScore
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doc.Find("table#line_score tbody tr").Each(func(i int, row *goquery.Selection) {
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ls := models.LineScore{GameID: gameID}
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ls.Team = row.Find(`th[data-stat="team"] a`).Text()
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ls.Q1 = mustAtoi(row.Find(`td[data-stat="1"]`).Text())
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ls.Q2 = mustAtoi(row.Find(`td[data-stat="2"]`).Text())
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ls.Q3 = mustAtoi(row.Find(`td[data-stat="3"]`).Text())
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ls.Q4 = mustAtoi(row.Find(`td[data-stat="4"]`).Text())
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// FIX: Corrected the data-stat attribute for overtime periods.
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ls.OT1 = mustAtoi(row.Find(`td[data-stat="1OT"]`).Text())
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ls.OT2 = mustAtoi(row.Find(`td[data-stat="2OT"]`).Text())
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ls.OT3 = mustAtoi(row.Find(`td[data-stat="3OT"]`).Text())
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ls.Total = mustAtoi(row.Find(`td[data-stat="T"]`).Text())
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lineScores = append(lineScores, ls)
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})
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if len(lineScores) > 0 {
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return db.Clauses(clause.OnConflict{
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Columns: []clause.Column{{Name: "game_id"}, {Name: "team"}},
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DoUpdates: clause.AssignmentColumns([]string{"q1", "q2", "q3", "q4", "ot1", "ot2", "ot3", "total"}),
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}).Create(&lineScores).Error
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}
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return nil
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}
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// parseAndStoreBoxScores finds all basic and advanced box score tables and processes them.
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func parseAndStoreBoxScores(db *gorm.DB, doc *goquery.Document, gameID string) error {
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var allPlayerBasicStats []models.PlayerGameBasicStat
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@@ -304,19 +293,7 @@ func batchUpsertAll(db *gorm.DB, pbs []models.PlayerGameBasicStat, pas []models.
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return nil
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}
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// uncommentDoc finds and replaces commented out HTML sections.
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func uncommentDoc(doc *goquery.Document) *goquery.Document {
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doc.Find("#content").Find(".placeholder, .section_heading").Each(func(i int, s *goquery.Selection) {
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s.NextUntil(".placeholder, .section_heading").FilterFunction(func(i int, s *goquery.Selection) bool {
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return goquery.NodeName(s) == "#comment"
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}).Each(func(i int, s *goquery.Selection) {
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uncommented, _ := goquery.NewDocumentFromReader(strings.NewReader(s.Text()))
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// FIX: Use ReplaceWithSelection, as the argument is a goquery selection, not a string.
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s.ReplaceWithSelection(uncommented.Find("body").Children())
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})
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})
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return doc
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}
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// getModelColumns is a placeholder for a more robust reflection-based column name generator.
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// For now, it returns hardcoded lists.
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