Janis Eccarius
259b3bbb24
New standalone modules:analytics submodule with two Spark jobs: - OpeningBookJob: reads game_records.pgn, extracts first N plies using pure Catalyst SQL expressions (no UDFs), aggregates win/draw/loss rates per opening sequence, writes Parquet + CSV top-1000 summary. - PlayerStatsJob: unions each game into a player-centric view, aggregates total_games/wins/losses/draws/avg_move_count/win_rate per player_id, writes Parquet. Module uses Scala 3 calling spark-sql_2.13 via JVM binary compatibility (DataFrame API only; no spark.implicits._ / typed Datasets). Spark is compileOnly; the fat jar bundles only scala3-library + postgresql driver. Submit via spark-submit; see build.gradle.kts header for invocation. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
31 lines
656 B
Kotlin
31 lines
656 B
Kotlin
rootProject.name = "NowChessSystems"
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pluginManagement {
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val quarkusPluginVersion: String by settings
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val quarkusPluginId: String by settings
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repositories {
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mavenCentral()
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gradlePluginPortal()
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mavenLocal()
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}
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plugins {
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id(quarkusPluginId) version quarkusPluginVersion
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}
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}
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include(
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"modules:core",
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"modules:api",
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"modules:json",
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"modules:io",
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"modules:rule",
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"modules:security",
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"modules:bot-platform",
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"modules:official-bots",
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"modules:account",
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"modules:ws",
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"modules:store",
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"modules:coordinator",
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"modules:tournament",
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"modules:analytics",
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) |