diff --git a/packages/stats/core/migrations/20260528012726_worthless_ultimo/migration.sql b/packages/stats/core/migrations/20260528012726_worthless_ultimo/migration.sql new file mode 100644 index 000000000..250c8117e --- /dev/null +++ b/packages/stats/core/migrations/20260528012726_worthless_ultimo/migration.sql @@ -0,0 +1,5 @@ +ALTER TABLE `geo_stat` ADD `provider` varchar(128) DEFAULT 'all' NOT NULL;--> statement-breakpoint +ALTER TABLE `geo_stat` ADD `model` varchar(256) DEFAULT 'all' NOT NULL;--> statement-breakpoint +ALTER TABLE `geo_stat` DROP INDEX `uniq_country_period`;--> statement-breakpoint +CREATE UNIQUE INDEX `uniq_country_period` ON `geo_stat` (`grain`,`period_start`,`dataset`,`tier`,`client`,`source`,`provider`,`model`,`country`);--> statement-breakpoint +CREATE INDEX `idx_country_model` ON `geo_stat` (`model`,`country`,`grain`,`period_start`); diff --git a/packages/stats/core/migrations/20260528012726_worthless_ultimo/snapshot.json b/packages/stats/core/migrations/20260528012726_worthless_ultimo/snapshot.json new file mode 100644 index 000000000..4a6d03ce8 --- /dev/null +++ b/packages/stats/core/migrations/20260528012726_worthless_ultimo/snapshot.json @@ -0,0 +1,2105 @@ +{ + "version": "6", + "dialect": "mysql", + "id": "c7296da3-649d-44f8-a6d5-7cbd755b2c67", + "prevIds": [ + "e246639a-0da0-4fbd-b7bb-f1781d407780" + ], + "ddl": [ + { + "name": "geo_stat", + "entityType": "tables" + }, + { + "name": "model_stat", + "entityType": "tables" + }, + { + "name": "provider_stat", + "entityType": "tables" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": true, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "id", + "entityType": "columns", + "table": "geo_stat" + }, + { + "type": "varchar(16)", + "notNull": true, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + 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"provider", + "isExpression": false + }, + { + "value": "model", + "isExpression": false + }, + { + "value": "country", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_country_period", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_map_tokens", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "rank_by_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_rank", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "country", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "continent", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_continent", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "model", + "isExpression": false + }, + { + "value": "country", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_model", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "client", + "isExpression": false + }, + { + "value": "source", + "isExpression": false + }, + { + "value": "provider", + "isExpression": false + }, + { + "value": "model", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_model_period", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_leaderboard_tokens", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "model", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_model", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "client", + "isExpression": false + }, + { + "value": "source", + "isExpression": false + }, + { + "value": "provider", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_provider_period", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_leaderboard_tokens", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "market_share_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_market_share", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "rank_by_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_rank", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "provider", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider", + "entityType": "indexes", + "table": "provider_stat" + } + ], + "renames": [] +} \ No newline at end of file diff --git a/packages/stats/core/migrations/20260528114447_misty_black_knight/migration.sql b/packages/stats/core/migrations/20260528114447_misty_black_knight/migration.sql new file mode 100644 index 000000000..4beb87b63 --- /dev/null +++ b/packages/stats/core/migrations/20260528114447_misty_black_knight/migration.sql @@ -0,0 +1,3 @@ +ALTER TABLE `geo_stat` ADD `period_key` varchar(32) NOT NULL;--> statement-breakpoint +ALTER TABLE `model_stat` ADD `period_key` varchar(32) NOT NULL;--> statement-breakpoint +ALTER TABLE `provider_stat` ADD `period_key` varchar(32) NOT NULL; \ No newline at end of file diff --git a/packages/stats/core/migrations/20260528114447_misty_black_knight/snapshot.json b/packages/stats/core/migrations/20260528114447_misty_black_knight/snapshot.json new file mode 100644 index 000000000..ba17411cd --- /dev/null +++ b/packages/stats/core/migrations/20260528114447_misty_black_knight/snapshot.json @@ -0,0 +1,2147 @@ +{ + "version": "6", + "dialect": "mysql", + "id": "cefe97ad-34ad-42f3-9343-47b1b7f478fa", + "prevIds": [ + "c7296da3-649d-44f8-a6d5-7cbd755b2c67" + ], + "ddl": [ + { + "name": "geo_stat", + "entityType": "tables" + }, + { + "name": "model_stat", + "entityType": "tables" + }, + { + "name": "provider_stat", + "entityType": "tables" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": true, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": 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"name": "period_key", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "datetime", + "notNull": true, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "period_start", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "datetime", + "notNull": true, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "period_end", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(64)", + "notNull": true, + "autoIncrement": false, + "default": "'all'", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "dataset", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(64)", + "notNull": true, + 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"generated": null, + "name": "provider", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "sessions", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "requests", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "input_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + 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"generated": null, + "name": "total_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "input_cost_microcents", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "output_cost_microcents", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "total_cost_microcents", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(12,2)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "avg_duration_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "p50_duration_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "p95_duration_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(12,2)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "avg_ttfb_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "p50_ttfb_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "p95_ttfb_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(12,4)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "avg_output_tps", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "success_count", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "error_count", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "sample_count", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(10,6)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "market_share_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(10,6)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "market_share_requests", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(10,6)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "market_share_sessions", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "rank_by_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "rank_by_requests", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "rank_by_sessions", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "rank_by_cost", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "datetime", + "notNull": true, + "autoIncrement": false, + "default": "(now())", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "created_at", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "datetime", + "notNull": true, + "autoIncrement": false, + "default": "(now())", + "onUpdateNow": true, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "updated_at", + "entityType": "columns", + "table": "provider_stat" + }, + { + "columns": [ + "id" + ], + "name": "PRIMARY", + "table": "geo_stat", + "entityType": "pks" + }, + { + "columns": [ + "id" + ], + "name": "PRIMARY", + "table": "model_stat", + "entityType": "pks" + }, + { + "columns": [ + "id" + ], + "name": "PRIMARY", + "table": "provider_stat", + "entityType": "pks" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "client", + "isExpression": false + }, + { + "value": "source", + "isExpression": false + }, + { + "value": "provider", + "isExpression": false + }, + { + "value": "model", + "isExpression": false + }, + { + "value": "country", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_country_period", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_map_tokens", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "rank_by_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_rank", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "country", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "continent", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_continent", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "model", + "isExpression": false + }, + { + "value": "country", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_model", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "client", + "isExpression": false + }, + { + "value": "source", + "isExpression": false + }, + { + "value": "provider", + "isExpression": false + }, + { + "value": "model", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_model_period", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_leaderboard_tokens", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "model", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_model", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "client", + "isExpression": false + }, + { + "value": "source", + "isExpression": false + }, + { + "value": "provider", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_provider_period", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_leaderboard_tokens", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "market_share_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_market_share", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "rank_by_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_rank", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "provider", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_start", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider", + "entityType": "indexes", + "table": "provider_stat" + } + ], + "renames": [] +} \ No newline at end of file diff --git a/packages/stats/core/migrations/20260528121120_easy_multiple_man/migration.sql b/packages/stats/core/migrations/20260528121120_easy_multiple_man/migration.sql new file mode 100644 index 000000000..9eb654486 --- /dev/null +++ b/packages/stats/core/migrations/20260528121120_easy_multiple_man/migration.sql @@ -0,0 +1,6 @@ +ALTER TABLE `geo_stat` DROP COLUMN `period_start`;--> statement-breakpoint +ALTER TABLE `geo_stat` DROP COLUMN `period_end`;--> statement-breakpoint +ALTER TABLE `model_stat` DROP COLUMN `period_start`;--> statement-breakpoint +ALTER TABLE `model_stat` DROP COLUMN `period_end`;--> statement-breakpoint +ALTER TABLE `provider_stat` DROP COLUMN `period_start`;--> statement-breakpoint +ALTER TABLE `provider_stat` DROP COLUMN `period_end`; \ No newline at end of file diff --git a/packages/stats/core/migrations/20260528121120_easy_multiple_man/snapshot.json b/packages/stats/core/migrations/20260528121120_easy_multiple_man/snapshot.json new file mode 100644 index 000000000..d5a76a75e --- /dev/null +++ b/packages/stats/core/migrations/20260528121120_easy_multiple_man/snapshot.json @@ -0,0 +1,2063 @@ +{ + "version": "6", + "dialect": "mysql", + "id": "9d4d1a06-7d28-4cb4-b0cd-3dfb7b481b8b", + "prevIds": [ + "cefe97ad-34ad-42f3-9343-47b1b7f478fa" + ], + "ddl": [ + { + "name": "geo_stat", + "entityType": "tables" + }, + { + "name": "model_stat", + "entityType": "tables" + }, + { + "name": "provider_stat", + "entityType": "tables" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": true, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "id", + "entityType": "columns", + "table": "geo_stat" + }, + { + "type": "varchar(16)", + "notNull": true, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "grain", + "entityType": "columns", + "table": "geo_stat" + }, + { + "type": "varchar(32)", + "notNull": true, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "period_key", + "entityType": "columns", + "table": "geo_stat" + }, + { + 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"collation": null, + "generated": null, + "name": "created_at", + "entityType": "columns", + "table": "model_stat" + }, + { + "type": "datetime", + "notNull": true, + "autoIncrement": false, + "default": "(now())", + "onUpdateNow": true, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "updated_at", + "entityType": "columns", + "table": "model_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": true, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "id", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(16)", + "notNull": true, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "grain", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(32)", + "notNull": true, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "period_key", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(64)", + "notNull": true, + "autoIncrement": false, + "default": "'all'", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "dataset", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(64)", + "notNull": true, + "autoIncrement": false, + "default": "'all'", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "tier", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(64)", + "notNull": true, + "autoIncrement": false, + "default": "'all'", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "client", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(64)", + "notNull": true, + "autoIncrement": false, + "default": "'all'", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "source", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "varchar(128)", + "notNull": true, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "provider", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "sessions", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "requests", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "input_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "output_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "reasoning_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "cache_read_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "total_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "input_cost_microcents", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "output_cost_microcents", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "total_cost_microcents", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(12,2)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "avg_duration_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "p50_duration_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "p95_duration_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(12,2)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "avg_ttfb_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "p50_ttfb_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "p95_ttfb_ms", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(12,4)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "avg_output_tps", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "success_count", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "error_count", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "bigint", + "notNull": true, + "autoIncrement": false, + "default": "0", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "sample_count", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(10,6)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "market_share_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(10,6)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "market_share_requests", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "decimal(10,6)", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "market_share_sessions", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "rank_by_tokens", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "rank_by_requests", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "rank_by_sessions", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "int", + "notNull": false, + "autoIncrement": false, + "default": null, + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "rank_by_cost", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "datetime", + "notNull": true, + "autoIncrement": false, + "default": "(now())", + "onUpdateNow": false, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "created_at", + "entityType": "columns", + "table": "provider_stat" + }, + { + "type": "datetime", + "notNull": true, + "autoIncrement": false, + "default": "(now())", + "onUpdateNow": true, + "onUpdateNowFsp": null, + "charSet": null, + "collation": null, + "generated": null, + "name": "updated_at", + "entityType": "columns", + "table": "provider_stat" + }, + { + "columns": [ + "id" + ], + "name": "PRIMARY", + "table": "geo_stat", + "entityType": "pks" + }, + { + "columns": [ + "id" + ], + "name": "PRIMARY", + "table": "model_stat", + "entityType": "pks" + }, + { + "columns": [ + "id" + ], + "name": "PRIMARY", + "table": "provider_stat", + "entityType": "pks" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "client", + "isExpression": false + }, + { + "value": "source", + "isExpression": false + }, + { + "value": "provider", + "isExpression": false + }, + { + "value": "model", + "isExpression": false + }, + { + "value": "country", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_country_period", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_map_tokens", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "rank_by_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_rank", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "country", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "continent", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_continent", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "model", + "isExpression": false + }, + { + "value": "country", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_country_model", + "entityType": "indexes", + "table": "geo_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "client", + "isExpression": false + }, + { + "value": "source", + "isExpression": false + }, + { + "value": "provider", + "isExpression": false + }, + { + "value": "model", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_model_period", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_leaderboard_tokens", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "model", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_model", + "entityType": "indexes", + "table": "model_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "client", + "isExpression": false + }, + { + "value": "source", + "isExpression": false + }, + { + "value": "provider", + "isExpression": false + } + ], + "isUnique": true, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "uniq_provider_period", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "total_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_leaderboard_tokens", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "market_share_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_market_share", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + }, + { + "value": "dataset", + "isExpression": false + }, + { + "value": "tier", + "isExpression": false + }, + { + "value": "rank_by_tokens", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider_rank", + "entityType": "indexes", + "table": "provider_stat" + }, + { + "columns": [ + { + "value": "provider", + "isExpression": false + }, + { + "value": "grain", + "isExpression": false + }, + { + "value": "period_key", + "isExpression": false + } + ], + "isUnique": false, + "using": null, + "algorithm": null, + "lock": null, + "nameExplicit": true, + "name": "idx_provider", + "entityType": "indexes", + "table": "provider_stat" + } + ], + "renames": [] +} \ No newline at end of file diff --git a/packages/stats/core/src/database/schema.ts b/packages/stats/core/src/database/schema.ts index 7fbfb632d..a658a4d51 100644 --- a/packages/stats/core/src/database/schema.ts +++ b/packages/stats/core/src/database/schema.ts @@ -16,7 +16,7 @@ export const modelStat = mysqlTable( (table) => [ uniqueIndex("uniq_model_period").on( table.grain, - table.period_start, + table.period_key, table.dataset, table.tier, table.client, @@ -24,8 +24,8 @@ export const modelStat = mysqlTable( table.provider, table.model, ), - index("idx_leaderboard_tokens").on(table.grain, table.period_start, table.dataset, table.tier, table.total_tokens), - index("idx_model").on(table.model, table.grain, table.period_start), + index("idx_leaderboard_tokens").on(table.grain, table.period_key, table.dataset, table.tier, table.total_tokens), + index("idx_model").on(table.model, table.grain, table.period_key), ], ) @@ -45,7 +45,7 @@ export const providerStat = mysqlTable( (table) => [ uniqueIndex("uniq_provider_period").on( table.grain, - table.period_start, + table.period_key, table.dataset, table.tier, table.client, @@ -54,20 +54,20 @@ export const providerStat = mysqlTable( ), index("idx_provider_leaderboard_tokens").on( table.grain, - table.period_start, + table.period_key, table.dataset, table.tier, table.total_tokens, ), index("idx_provider_market_share").on( table.grain, - table.period_start, + table.period_key, table.dataset, table.tier, table.market_share_tokens, ), - index("idx_provider_rank").on(table.grain, table.period_start, table.dataset, table.tier, table.rank_by_tokens), - index("idx_provider").on(table.provider, table.grain, table.period_start), + index("idx_provider_rank").on(table.grain, table.period_key, table.dataset, table.tier, table.rank_by_tokens), + index("idx_provider").on(table.provider, table.grain, table.period_key), ], ) @@ -75,6 +75,8 @@ export const geoStat = mysqlTable( "geo_stat", { ...periodColumns(), + provider: varchar({ length: 128 }).notNull().default("all"), + model: varchar({ length: 256 }).notNull().default("all"), country: char({ length: 2 }).notNull(), continent: varchar({ length: 8 }).notNull().default(""), ...metricColumns(), @@ -88,17 +90,20 @@ export const geoStat = mysqlTable( (table) => [ uniqueIndex("uniq_country_period").on( table.grain, - table.period_start, + table.period_key, table.dataset, table.tier, table.client, table.source, + table.provider, + table.model, table.country, ), - index("idx_country_map_tokens").on(table.grain, table.period_start, table.dataset, table.tier, table.total_tokens), - index("idx_country_rank").on(table.grain, table.period_start, table.dataset, table.tier, table.rank_by_tokens), - index("idx_country").on(table.country, table.grain, table.period_start), - index("idx_continent").on(table.continent, table.grain, table.period_start), + index("idx_country_map_tokens").on(table.grain, table.period_key, table.dataset, table.tier, table.total_tokens), + index("idx_country_rank").on(table.grain, table.period_key, table.dataset, table.tier, table.rank_by_tokens), + index("idx_country").on(table.country, table.grain, table.period_key), + index("idx_continent").on(table.continent, table.grain, table.period_key), + index("idx_country_model").on(table.model, table.country, table.grain, table.period_key), ], ) @@ -106,8 +111,7 @@ function periodColumns() { return { id: bigint({ mode: "number" }).autoincrement().primaryKey(), grain: varchar({ length: 16 }).notNull(), - period_start: datetime({ mode: "date" }).notNull(), - period_end: datetime({ mode: "date" }).notNull(), + period_key: varchar({ length: 32 }).notNull(), dataset: varchar({ length: 64 }).notNull().default("all"), tier: varchar({ length: 64 }).notNull().default("all"), client: varchar({ length: 64 }).notNull().default("all"), diff --git a/packages/stats/core/src/domain/geo.ts b/packages/stats/core/src/domain/geo.ts index 624f9d7c5..fb3b83ec5 100644 --- a/packages/stats/core/src/domain/geo.ts +++ b/packages/stats/core/src/domain/geo.ts @@ -8,6 +8,7 @@ import { collapseRows, inserted, rankRowsWithMarketShare, + statPeriodKey, synthesizeAllTierRows, toStatBaseRow, UPSERT_CHUNK_SIZE, @@ -15,11 +16,13 @@ import { } from "./stat" export type GeoStatRow = typeof geoStat.$inferInsert -export type GeoStatAggregate = StatBaseAggregate & { country: string; continent: string } +export type GeoStatAggregate = StatBaseAggregate & { provider: string; model: string; country: string; continent: string } export type GeoStatMetric = { - periodStart: Date - periodEnd: Date + periodKey: string + updatedAt: Date tier: string + provider: string + model: string country: string continent: string totalTokens: number @@ -30,11 +33,13 @@ export declare namespace GeoStatRepo { readonly listDaily: () => Effect.Effect readonly listByPeriod: (opts: { readonly grain: string - readonly periodStart: Date + readonly periodKey: string readonly dataset?: string readonly tier?: string readonly client?: string readonly source?: string + readonly provider?: string + readonly model?: string }) => Effect.Effect readonly upsert: (rows: GeoStatRow[]) => Effect.Effect } @@ -51,27 +56,39 @@ export class GeoStatRepo extends Context.Service db .select({ - periodStart: geoStat.period_start, - periodEnd: geoStat.period_end, + periodKey: geoStat.period_key, + updatedAt: geoStat.updated_at, tier: geoStat.tier, + provider: geoStat.provider, + model: geoStat.model, country: geoStat.country, continent: geoStat.continent, totalTokens: geoStat.total_tokens, }) .from(geoStat) - .where(and(eq(geoStat.grain, "day"), eq(geoStat.client, "all"), eq(geoStat.source, "all"))) - .orderBy(asc(geoStat.period_start)), + .where( + and( + eq(geoStat.grain, "day"), + eq(geoStat.client, "all"), + eq(geoStat.source, "all"), + eq(geoStat.provider, "all"), + eq(geoStat.model, "all"), + ), + ) + .orderBy(asc(geoStat.period_key)), catch: (cause) => DatabaseError.make({ cause }), }) }) const listByPeriod = Effect.fn("GeoStatRepo.listByPeriod")(function* (opts: { readonly grain: string - readonly periodStart: Date + readonly periodKey: string readonly dataset?: string readonly tier?: string readonly client?: string readonly source?: string + readonly provider?: string + readonly model?: string }) { return yield* Effect.tryPromise({ try: () => @@ -81,11 +98,13 @@ export class GeoStatRepo extends Context.Service DatabaseError.make({ cause }), @@ -103,7 +122,6 @@ export class GeoStatRepo extends Context.Service item.grain === "week").map(toRow), dimensionKey), - dimensionKey, - ), - ...synthesizeAllTierRows( - collapseRows(aggregates.filter((item) => item.grain === "day").map(toRow), dimensionKey), - dimensionKey, - ), - ]) + return rankRowsWithMarketShare( + [ + ...synthesizeAllTierRows( + collapseRows(aggregates.filter((item) => item.grain === "week").map(toRow), dimensionKey), + dimensionKey, + ), + ...synthesizeAllTierRows( + collapseRows(aggregates.filter((item) => item.grain === "day").map(toRow), dimensionKey), + dimensionKey, + ), + ], + marketShareKey, + ) } function toRow(data: GeoStatAggregate): GeoStatRow { return { ...toStatBaseRow(data), + provider: data.provider, + model: data.model, country: data.country, continent: data.continent, } } function dimensionKey(row: GeoStatRow) { - return row.country + return [row.provider, row.model, row.country].join("\u0000") +} + +function marketShareKey(row: GeoStatRow) { + return [statPeriodKey(row), row.provider, row.model].join("\u0000") } diff --git a/packages/stats/core/src/domain/home.ts b/packages/stats/core/src/domain/home.ts index 3403a86a2..20d9550ab 100644 --- a/packages/stats/core/src/domain/home.ts +++ b/packages/stats/core/src/domain/home.ts @@ -28,17 +28,17 @@ const TOKEN_SCALE = 1_000_000 const DOLLARS_PER_MICROCENT = 1 / 100_000_000 const months = ["JAN", "FEB", "MAR", "APR", "MAY", "JUN", "JUL", "AUG", "SEP", "OCT", "NOV", "DEC"] as const -type StatMetricRow = Omit & { +type StatMetricRow = Omit & { periodStart: number - periodEnd: number + updatedAt: number } -type ProviderMetricRow = Omit & { +type ProviderMetricRow = Omit & { periodStart: number - periodEnd: number + updatedAt: number } -type GeoMetricRow = Omit & { +type GeoMetricRow = Omit & { periodStart: number - periodEnd: number + updatedAt: number } type DateWindow = { start: number; end: number; previousStart: number; previousEnd: number } @@ -85,10 +85,10 @@ function buildStatsHomeData( const earliest = Math.min(...periods.map((row) => row.periodStart)) const latest = Math.max(...periods.map((row) => row.periodStart)) - const latestEnd = Math.max(...periods.map((row) => row.periodEnd)) + const latestUpdate = Math.max(...periods.map((row) => row.updatedAt)) return { - updatedAt: new Date(latestEnd).toISOString(), + updatedAt: new Date(latestUpdate).toISOString(), usage: createUsageProductRecord((product) => createRangeRecord((range) => buildUsagePoints(normalized, product, range, getWindow(range, earliest, latest))), ), @@ -361,14 +361,14 @@ function createRangeRecord(value: (range: UsageRange) => T): Record = { anthropic: "Anthropic", + deepseek: "DeepSeek", google: "Google", minimax: "MiniMax", + moonshot: "Moonshot", moonshotai: "Moonshot", - nvidia: "Nvidia", + nvidia: "NVIDIA", + opencode: "opencode", openai: "OpenAI", + qwen: "Qwen", + tencent: "Tencent", + xai: "xAI", + xiaomi: "Xiaomi", + zhipu: "Zhipu", zhipuai: "Zhipu", } const normalized = provider.toLowerCase().replace(/[^a-z0-9]/g, "") diff --git a/packages/stats/core/src/domain/inference.test.ts b/packages/stats/core/src/domain/inference.test.ts new file mode 100644 index 000000000..081613bc0 --- /dev/null +++ b/packages/stats/core/src/domain/inference.test.ts @@ -0,0 +1,66 @@ +import { describe, expect, test } from "bun:test" +import { toModelAggregate } from "./inference" +import { modelAuthor, normalizeInferenceModel } from "./model-normalization" + +describe("inference stat normalization", () => { + test("normalizes model suffixes used by router/provider variants", () => { + expect(normalizeInferenceModel("deepseek-v4-flash-free")).toBe("deepseek-v4-flash") + expect(normalizeInferenceModel("deepseek-v4-flash:global")).toBe("deepseek-v4-flash") + expect(normalizeInferenceModel("mimo-v2.5-free")).toBe("mimo-v2.5") + expect(normalizeInferenceModel("nemotron-3-super-free")).toBe("nemotron-3-super") + expect(normalizeInferenceModel("mimo-v2.5-free:global")).toBe("mimo-v2.5") + }) + + test("maps normalized model ids to public authors", () => { + expect(modelAuthor("big-pickle")).toBe("opencode") + expect(modelAuthor("claude-sonnet-4-5")).toBe("anthropic") + expect(modelAuthor("deepseek-v4-pro")).toBe("deepseek") + expect(modelAuthor("gemini-3.5-flash")).toBe("google") + expect(modelAuthor("glm-5.1")).toBe("zhipu") + expect(modelAuthor("gpt-5.5-pro")).toBe("openai") + expect(modelAuthor("grok-build-0.1")).toBe("xai") + expect(modelAuthor("hy3-preview")).toBe("tencent") + expect(modelAuthor("kimi-k2.6")).toBe("moonshot") + expect(modelAuthor("mimo-v2-omni")).toBe("xiaomi") + expect(modelAuthor("minimax-m2.7")).toBe("minimax") + expect(modelAuthor("nemotron-3-super-free")).toBe("nvidia") + expect(modelAuthor("qwen3.7-max")).toBe("qwen") + expect(modelAuthor("alpha-gpt-next")).toBeUndefined() + }) + + test("model aggregates ignore datalake provider and use normalized author/model", () => { + expect(toModelAggregate(aggregate("alpha-gpt-next", "openai"))).toEqual([]) + + expect(toModelAggregate(aggregate("deepseek-v4-flash-free", "not-public-provider"))).toMatchObject([ + { + period_key: "2026-05-20", + provider: "deepseek", + model: "deepseek-v4-flash", + }, + ]) + }) + + test("model aggregates use ISO week period keys", () => { + expect( + toModelAggregate({ + ...aggregate("gpt-5.5-pro", "openai"), + grain: "week", + period_key: "2026-W20", + }), + ).toMatchObject([{ period_key: "2026-W20" }]) + }) +}) + +function aggregate(model: string, provider: string) { + return { + grain: "day", + period_key: "2026-05-20", + dataset: "zen", + tier: "Paid", + provider, + model, + sessions: "1", + requests: "1", + sample_count: "1", + } +} diff --git a/packages/stats/core/src/domain/inference.ts b/packages/stats/core/src/domain/inference.ts index 1a89d0033..83a614f35 100644 --- a/packages/stats/core/src/domain/inference.ts +++ b/packages/stats/core/src/domain/inference.ts @@ -2,10 +2,17 @@ import { Resource } from "sst/resource" import type { AthenaData } from "../athena" import type { GeoStatAggregate } from "./geo" import type { ModelStatAggregate } from "./model" +import { + EXCLUDED_MODELS, + MODEL_AUTHOR_OVERRIDES, + MODEL_AUTHOR_RULES, + modelAuthor, + normalizeInferenceModel, +} from "./model-normalization" import type { ProviderStatAggregate } from "./provider" import { normalizeCountry, normalizeTier, type StatBaseAggregate } from "./stat" -export type StatDimension = "model" | "provider" | "geo" +export type StatDimension = "model" | "provider" | "geo" | "geo_model" export function buildStatsQuery(periodStart: Date, periodEnd: Date, dimension: StatDimension) { const periodStartValue = sqlString(periodStart.toISOString()) @@ -20,8 +27,13 @@ export function buildStatsQuery(periodStart: Date, periodEnd: Date, dimension: S groupBy: "provider, model", } if (dimension === "provider") return { select: "provider", groupBy: "provider" } + if (dimension === "geo_model") + return { + select: "provider, model, country, COALESCE(MAX(NULLIF(continent, '')), '') AS continent", + groupBy: "provider, model, country", + } return { - select: "country, COALESCE(MAX(NULLIF(continent, '')), '') AS continent", + select: "'all' AS provider, 'all' AS model, country, COALESCE(MAX(NULLIF(continent, '')), '') AS continent", groupBy: "country", } })() @@ -48,32 +60,56 @@ export function buildStatsQuery(periodStart: Date, periodEnd: Date, dimension: S COUNT(*) AS sample_count` return ` -WITH filtered AS ( +WITH normalized AS ( SELECT from_iso8601_timestamp(event_timestamp) AS event_time, - CASE - WHEN source = 'lite' THEN 'Go' - WHEN model IN ('gpt-5-nano', 'grok-code', 'big-pickle') OR model LIKE '%-free' THEN 'Free' - ELSE 'Paid' - END AS tier, - COALESCE(NULLIF( - CASE - WHEN starts_with(provider, 'minimax-plan') THEN 'minimax-plan' - WHEN starts_with(provider, 'zai-plan') THEN 'zai-plan' - WHEN starts_with(provider, 'azure-databricks') THEN 'azure-databricks' - WHEN regexp_like(provider, '^azure[0-9]+') THEN 'azure-openai' - ELSE provider - END, - '' - ), 'unknown') AS provider, + model AS raw_model, + COALESCE(NULLIF(regexp_replace(model, '(-free|:global)+$', ''), ''), 'unknown') AS model, COALESCE(NULLIF(provider_model, ''), '') AS provider_model, - COALESCE(NULLIF(model, ''), 'unknown') AS model, UPPER(COALESCE(NULLIF(cf_country, ''), 'ZZ')) AS country, COALESCE(NULLIF(cf_continent, ''), '') AS continent, session, status, duration AS duration_ms, time_to_first_byte AS ttfb_ms, + timestamp_first_byte, + timestamp_last_byte, + tokens_input, + tokens_output, + tokens_reasoning, + tokens_cache_read, + tokens_cache_write_5m, + cost_input_microcents, + cost_output_microcents, + cost_total_microcents, + cost_input, + cost_output, + cost_total, + source + FROM ${sourceTable} + WHERE event_type = 'completions' + AND model IS NOT NULL + AND model <> '' + AND (strpos(COALESCE(user_agent, ''), 'ai-sdk') > 0 OR strpos(COALESCE(user_agent, ''), 'opencode') > 0) + AND event_timestamp >= ${periodStartValue} + AND event_timestamp < ${periodEndValue} +), filtered AS ( + SELECT + event_time, + CASE + WHEN source = 'lite' THEN 'Go' + WHEN model IN ('gpt-5-nano', 'grok-code', 'big-pickle') OR regexp_like(raw_model, '-free(:global)?$') THEN 'Free' + ELSE 'Paid' + END AS tier, + ${modelAuthorSql("model")} AS provider, + provider_model, + model, + country, + continent, + session, + status, + duration_ms, + ttfb_ms, CASE WHEN timestamp_last_byte - timestamp_first_byte < 100 THEN null ELSE CAST(tokens_output AS double) / (timestamp_last_byte - timestamp_first_byte) * 1000 @@ -86,50 +122,47 @@ WITH filtered AS ( COALESCE(cost_input_microcents, cost_input * 1000000) AS cost_input_microcents, COALESCE(cost_output_microcents, cost_output * 1000000) AS cost_output_microcents, COALESCE(cost_total_microcents, cost_total * 1000000) AS cost_total_microcents - FROM ${sourceTable} - WHERE event_type = 'completions' - AND model IS NOT NULL - AND model <> '' - AND (strpos(COALESCE(user_agent, ''), 'ai-sdk') > 0 OR strpos(COALESCE(user_agent, ''), 'opencode') > 0) - AND event_timestamp >= ${periodStartValue} - AND event_timestamp < ${periodEndValue} + FROM normalized + WHERE lower(model) NOT IN (${[...EXCLUDED_MODELS].map(sqlString).join(", ")}) +), weekly AS ( + SELECT + concat(CAST(year_of_week(event_time) AS varchar), '-W', lpad(CAST(week(event_time) AS varchar), 2, '0')) AS week_key, + * + FROM filtered ), daily AS ( - SELECT date_trunc('day', event_time) AS day, * + SELECT substr(to_iso8601(date_trunc('day', event_time)), 1, 10) AS day_key, * FROM filtered ) SELECT 'week' AS grain, - ${periodStartValue} AS period_start, - ${periodEndValue} AS period_end, + week_key AS period_key, ${sqlString(Resource.StatsSyncConfig.dataset)} AS dataset, tier, ${dimensionSql.select}, ${aggregateColumns} -FROM filtered -GROUP BY tier, ${dimensionSql.groupBy} +FROM weekly +GROUP BY week_key, tier, ${dimensionSql.groupBy} UNION ALL SELECT 'day' AS grain, - to_iso8601(day) AS period_start, - to_iso8601(least(day + INTERVAL '1' DAY, from_iso8601_timestamp(${periodEndValue}))) AS period_end, + day_key AS period_key, ${sqlString(Resource.StatsSyncConfig.dataset)} AS dataset, tier, ${dimensionSql.select}, ${aggregateColumns} FROM daily -GROUP BY day, tier, ${dimensionSql.groupBy} -ORDER BY grain, period_start, total_tokens DESC +GROUP BY day_key, tier, ${dimensionSql.groupBy} +ORDER BY grain, period_key, total_tokens DESC ` } export function toModelAggregate(data: AthenaData): ModelStatAggregate[] { + const model = normalizeInferenceModel(data.model) + const author = modelAuthor(model) + if (!author) return [] + return toStatBaseAggregate(data).flatMap((base) => [ - { - ...base, - provider: data.provider || "unknown", - model: data.model || "unknown", - provider_model: data.provider_model || "", - }, + { ...base, provider: author, model, provider_model: data.provider_model || "" }, ]) } @@ -141,6 +174,8 @@ export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] { return toStatBaseAggregate(data).flatMap((base) => [ { ...base, + provider: data.provider || "all", + model: normalizeInferenceModel(data.model || "all"), country: normalizeCountry(data.country), continent: data.continent || "", }, @@ -149,15 +184,12 @@ export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] { function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] { const grain = data.grain === "day" || data.grain === "week" ? data.grain : undefined - const periodStart = new Date(data.period_start ?? "") - const periodEnd = new Date(data.period_end ?? "") - if (!grain || Number.isNaN(periodStart.getTime()) || Number.isNaN(periodEnd.getTime())) return [] + if (!grain || !data.period_key) return [] return [ { grain, - period_start: periodStart, - period_end: periodEnd, + period_key: data.period_key, dataset: data.dataset || Resource.StatsSyncConfig.dataset, tier: normalizeTier(data.tier || "unknown"), sessions: integer(data, "sessions"), @@ -210,3 +242,11 @@ function sqlIdentifier(value: string) { function sqlString(value: string) { return `'${value.replace(/'/g, "''")}'` } + +function modelAuthorSql(model: string) { + return `CASE +${MODEL_AUTHOR_OVERRIDES.map((item) => ` WHEN lower(${model}) = ${sqlString(item.model)} THEN ${sqlString(item.author)}`).join("\n")} +${MODEL_AUTHOR_RULES.map((item) => ` WHEN strpos(lower(${model}), ${sqlString(item.match)}) > 0 THEN ${sqlString(item.author)}`).join("\n")} + ELSE 'unknown' + END` +} diff --git a/packages/stats/core/src/domain/model-normalization.ts b/packages/stats/core/src/domain/model-normalization.ts new file mode 100644 index 000000000..29cb585e3 --- /dev/null +++ b/packages/stats/core/src/domain/model-normalization.ts @@ -0,0 +1,30 @@ +export const MODEL_AUTHOR_OVERRIDES = [{ model: "big-pickle", author: "opencode" }] as const +export const MODEL_AUTHOR_RULES = [ + { match: "claude", author: "anthropic" }, + { match: "gemini", author: "google" }, + { match: "deepseek", author: "deepseek" }, + { match: "glm", author: "zhipu" }, + { match: "gpt", author: "openai" }, + { match: "grok", author: "xai" }, + { match: "hy3", author: "tencent" }, + { match: "kimi", author: "moonshot" }, + { match: "mimo", author: "xiaomi" }, + { match: "minimax", author: "minimax" }, + { match: "nemotron", author: "nvidia" }, + { match: "qwen", author: "qwen" }, +] as const +export const EXCLUDED_MODELS = new Set(["alpha-gpt-next"]) + +export function normalizeInferenceModel(value: string | undefined) { + return (value || "unknown").replace(/(-free|:global)+$/, "") || "unknown" +} + +export function modelAuthor(value: string | undefined) { + const model = normalizeInferenceModel(value).toLowerCase() + if (EXCLUDED_MODELS.has(model)) return undefined + + const override = MODEL_AUTHOR_OVERRIDES.find((item) => item.model === model) + if (override) return override.author + + return MODEL_AUTHOR_RULES.find((item) => model.includes(item.match))?.author ?? "unknown" +} diff --git a/packages/stats/core/src/domain/model.ts b/packages/stats/core/src/domain/model.ts index 45cd2472c..92aeb6eb2 100644 --- a/packages/stats/core/src/domain/model.ts +++ b/packages/stats/core/src/domain/model.ts @@ -19,8 +19,8 @@ export type ModelStatRow = typeof modelStat.$inferInsert export type ModelStatAggregate = StatBaseAggregate & { provider: string; model: string; provider_model: string } export type ModelStatMetric = { - periodStart: Date - periodEnd: Date + periodKey: string + updatedAt: Date tier: string provider: string model: string @@ -55,8 +55,8 @@ export class ModelStatRepo extends Context.Service db .select({ - periodStart: modelStat.period_start, - periodEnd: modelStat.period_end, + periodKey: modelStat.period_key, + updatedAt: modelStat.updated_at, tier: modelStat.tier, provider: modelStat.provider, model: modelStat.model, @@ -72,7 +72,7 @@ export class ModelStatRepo extends Context.Service DatabaseError.make({ cause }), }) }) @@ -88,7 +88,6 @@ export class ModelStatRepo extends Context.Service Effect.Effect readonly listByPeriod: (opts: { readonly grain: string - readonly periodStart: Date + readonly periodKey: string readonly dataset?: string readonly tier?: string readonly client?: string @@ -52,22 +52,22 @@ export class ProviderStatRepo extends Context.Service db .select({ - periodStart: providerStat.period_start, - periodEnd: providerStat.period_end, + periodKey: providerStat.period_key, + updatedAt: providerStat.updated_at, tier: providerStat.tier, provider: providerStat.provider, totalTokens: providerStat.total_tokens, }) .from(providerStat) .where(and(eq(providerStat.grain, "day"), eq(providerStat.client, "all"), eq(providerStat.source, "all"))) - .orderBy(asc(providerStat.period_start)), + .orderBy(asc(providerStat.period_key)), catch: (cause) => DatabaseError.make({ cause }), }) }) const listByPeriod = Effect.fn("ProviderStatRepo.listByPeriod")(function* (opts: { readonly grain: string - readonly periodStart: Date + readonly periodKey: string readonly dataset?: string readonly tier?: string readonly client?: string @@ -81,7 +81,7 @@ export class ProviderStatRepo extends Context.Service(rows: T[], dimensio rows.reduce>((result, row) => { const key = [ row.grain, - row.period_start.toISOString(), + row.period_key, row.dataset, row.client, row.source, @@ -119,7 +117,7 @@ export function collapseRows(rows: T[], dimensionKey: (ro rows.reduce>((result, row) => { const key = [ row.grain, - row.period_start.toISOString(), + row.period_key, row.dataset, row.tier, row.client, @@ -135,7 +133,6 @@ export function collapseRows(rows: T[], dimensionKey: (ro export function combineRows(left: T, right: T): T { return { ...left, - period_end: right.period_end > left.period_end ? right.period_end : left.period_end, sessions: (left.sessions ?? 0) + (right.sessions ?? 0), requests: (left.requests ?? 0) + (right.requests ?? 0), input_tokens: (left.input_tokens ?? 0) + (right.input_tokens ?? 0), @@ -160,17 +157,41 @@ export function combineRows(left: T, right: T): T { } export function statPeriodKey(row: StatBaseRow) { - return [row.grain, row.period_start.toISOString(), row.dataset, row.tier, row.client, row.source].join("\u0000") + return [row.grain, row.period_key, row.dataset, row.tier, row.client, row.source].join("\u0000") +} + +export function periodKeyFor(grain: StatGrain, periodStart: Date) { + if (grain === "week") return isoWeekId(periodStart) + return utcDateId(periodStart) +} + +export function startOfUtcDay(value: Date) { + return new Date(Date.UTC(value.getUTCFullYear(), value.getUTCMonth(), value.getUTCDate())) +} + +export function startOfIsoWeek(value: Date) { + return new Date(Date.UTC(value.getUTCFullYear(), value.getUTCMonth(), value.getUTCDate() - (value.getUTCDay() || 7) + 1)) +} + +export function isoWeekId(value: Date) { + const thursday = new Date( + Date.UTC(value.getUTCFullYear(), value.getUTCMonth(), value.getUTCDate() + 4 - (value.getUTCDay() || 7)), + ) + return `${thursday.getUTCFullYear()}-W${String(Math.ceil(((thursday.getTime() - Date.UTC(thursday.getUTCFullYear(), 0, 1)) / DAY_MS + 1) / 7)).padStart(2, "0")}` +} + +function utcDateId(value: Date) { + return `${value.getUTCFullYear()}-${String(value.getUTCMonth() + 1).padStart(2, "0")}-${String(value.getUTCDate()).padStart(2, "0")}` } export function rankBy(rows: T[], value: (row: T) => number) { return new Map(rows.toSorted((a, b) => value(b) - value(a)).map((row, index) => [row, index + 1])) } -export function rankRowsWithMarketShare(rows: T[]) { +export function rankRowsWithMarketShare(rows: T[], groupKey: (row: T) => string = statPeriodKey) { return Object.values( rows.reduce>((result, row) => { - const key = statPeriodKey(row) + const key = groupKey(row) result[key] = [...(result[key] ?? []), row] return result }, {}), diff --git a/packages/stats/core/src/honeycomb-backfill.ts b/packages/stats/core/src/honeycomb-backfill.ts index 507b1dca0..2b497bdf9 100644 --- a/packages/stats/core/src/honeycomb-backfill.ts +++ b/packages/stats/core/src/honeycomb-backfill.ts @@ -3,14 +3,19 @@ import { readdir } from "node:fs/promises" import path from "node:path" import { drizzle } from "drizzle-orm/planetscale-serverless" import { geoStat, modelStat, providerStat } from "./database/schema" +import { modelAuthor, normalizeInferenceModel } from "./domain/model-normalization" import { chunks, collapseRows, inserted, + isoWeekId, normalizeCountry, normalizeTier, + periodKeyFor, rankBy, rankRowsWithMarketShare, + startOfIsoWeek, + startOfUtcDay, statPeriodKey, synthesizeAllTierRows, toStatBaseRow, @@ -23,10 +28,9 @@ const DEFAULT_TIERS = ["Go", "Free", "Paid"] const FREE_MODELS = new Set(["gpt-5-nano", "grok-code", "big-pickle"]) type Grain = "day" | "week" -type MetricDimension = "model" | "provider" | "geo" +type MetricDimension = "model" | "provider" | "geo" | "geo-model" type LookupDimension = "model-provider-model" | "geo-continent" type ImportKey = `${MetricDimension | LookupDimension}-${Grain}` -type GeneratedImportKey = `${MetricDimension}-${Grain}` type QuerySpec = { name: string importKey: ImportKey @@ -34,19 +38,17 @@ type QuerySpec = { query: ReturnType } type RawRow = Record -type Period = { start: Date; end: Date } type ImportOptions = { dataset: string databaseUrl: string | undefined directories: string[] dryRun: boolean - periodEnd: Date | undefined periodStart: Date | undefined files: Partial> } type ModelAggregate = StatBaseAggregate & { provider: string; model: string; provider_model: string } type ProviderAggregate = StatBaseAggregate & { provider: string } -type GeoAggregate = StatBaseAggregate & { country: string; continent: string } +type GeoAggregate = StatBaseAggregate & { provider: string; model: string; country: string; continent: string } type ModelStatRow = typeof modelStat.$inferInsert type ProviderStatRow = typeof providerStat.$inferInsert type GeoStatRow = typeof geoStat.$inferInsert @@ -60,6 +62,8 @@ const inputKeys = [ "provider-week", "geo-day", "geo-week", + "geo-model-day", + "geo-model-week", "geo-continent-day", "geo-continent-week", ] as const satisfies ImportKey[] @@ -77,7 +81,7 @@ function printQueries(args: string[]) { const flags = parseFlags(args) const limit = parseIntegerFlag(flags, "limit") ?? 1000 const tiers = parseListFlag(flags, "tiers") ?? DEFAULT_TIERS - const queries = buildQueries(limit, tiers, flags.has("include-weekly")) + const queries = buildQueries(limit, tiers) const only = flags.get("only")?.[0] if (only) { @@ -112,41 +116,46 @@ async function importFiles(args: string[]) { ...(await lookupRows(opts.files["geo-continent-day"], "day", opts, geoContinentLookup)), ...(await lookupRows(opts.files["geo-continent-week"], "week", opts, geoContinentLookup)), ]) - const modelRows = modelRowsFromAggregates([ - ...(await metricRows(opts.files["model-day"], "day", opts, (row, base) => ({ - ...base, - provider: provider(row), - model: model(row), - provider_model: providerModelLookup.get(lookupKey(base, provider(row), model(row))) ?? providerModel(row), - }))), - ...(await metricRows(opts.files["model-week"], "week", opts, (row, base) => ({ - ...base, - provider: provider(row), - model: model(row), - provider_model: providerModelLookup.get(lookupKey(base, provider(row), model(row))) ?? providerModel(row), - }))), - ]) + const modelAggregates = [ + ...(await metricRows(opts.files["model-day"], "day", opts, (row, base) => + modelAggregate(row, base, providerModelLookup), + )), + ...(await metricRows(opts.files["model-week"], "week", opts, (row, base) => + modelAggregate(row, base, providerModelLookup), + )), + ] + const modelRows = modelRowsFromAggregates(modelAggregates) const providerRows = providerRowsFromAggregates([ ...(await metricRows(opts.files["provider-day"], "day", opts, (row, base) => ({ ...base, - provider: provider(row), + provider: provider(row) ?? "unknown", }))), ...(await metricRows(opts.files["provider-week"], "week", opts, (row, base) => ({ ...base, - provider: provider(row), + provider: provider(row) ?? "unknown", }))), ]) const geoRows = geoRowsFromAggregates([ ...(await metricRows(opts.files["geo-day"], "day", opts, (row, base) => ({ ...base, + provider: "all", + model: "all", country: country(row), continent: continentLookup.get(lookupKey(base, country(row))) ?? continent(row), }))), ...(await metricRows(opts.files["geo-week"], "week", opts, (row, base) => ({ ...base, + provider: "all", + model: "all", country: country(row), continent: continentLookup.get(lookupKey(base, country(row))) ?? continent(row), }))), + ...(await metricRows(opts.files["geo-model-day"], "day", opts, (row, base) => + geoModelAggregate(row, base, continentLookup), + )), + ...(await metricRows(opts.files["geo-model-week"], "week", opts, (row, base) => + geoModelAggregate(row, base, continentLookup), + )), ]) console.log( @@ -174,36 +183,40 @@ async function importFiles(args: string[]) { await upsertGeoRows(db, geoRows) } -function buildQueries(limit: number, tiers: string[], includeWeekly: boolean): QuerySpec[] { +function buildQueries(limit: number, tiers: string[]): QuerySpec[] { const daily = tiers.flatMap((tier) => [ querySpec( "model-day", tier, - metricQuery(["date", "tier", "provider.normalized", "model", "provider.model"], limit, tierFilters(tier)), + metricQuery(["date", "tier", "stat_provider", "stat_model"], limit, tierFilters(tier)), ), querySpec( "provider-day", tier, - metricQuery(["date", "tier", "provider.normalized"], limit, tierFilters(tier)), + metricQuery(["date", "tier", "stat_provider"], limit, tierFilters(tier)), ), querySpec("geo-day", tier, metricQuery(["date", "tier", "country", "continent"], limit, tierFilters(tier))), + querySpec( + "geo-model-day", + tier, + metricQuery(["date", "tier", "stat_provider", "stat_model", "country", "continent"], limit, tierFilters(tier)), + ), + ]) + const weekly = tiers.flatMap((tier) => [ + querySpec("model-week", tier, metricQuery(["week", "tier", "stat_provider", "stat_model"], limit, tierFilters(tier))), + querySpec("provider-week", tier, metricQuery(["week", "tier", "stat_provider"], limit, tierFilters(tier))), + querySpec("geo-week", tier, metricQuery(["week", "tier", "country", "continent"], limit, tierFilters(tier))), + querySpec( + "geo-model-week", + tier, + metricQuery(["week", "tier", "stat_provider", "stat_model", "country", "continent"], limit, tierFilters(tier)), + ), ]) - const weekly = includeWeekly - ? tiers.flatMap((tier) => [ - querySpec( - "model-week", - tier, - metricQuery(["tier", "provider.normalized", "model", "provider.model"], limit, tierFilters(tier)), - ), - querySpec("provider-week", tier, metricQuery(["tier", "provider.normalized"], limit, tierFilters(tier))), - querySpec("geo-week", tier, metricQuery(["tier", "country", "continent"], limit, tierFilters(tier))), - ]) - : [] return [...daily, ...weekly] } -function querySpec(importKey: GeneratedImportKey, tier: string, query: ReturnType) { +function querySpec(importKey: ImportKey, tier: string, query: ReturnType) { return { name: `${importKey}-${queryNameSegment(tier)}`, importKey, @@ -238,8 +251,6 @@ function metricQuery( { op: "P50", column: "time_to_first_byte" }, { op: "P95", column: "time_to_first_byte" }, { op: "AVG", column: "tps.output" }, - { op: "SUM", column: "success" }, - { op: "SUM", column: "error" }, ], filters: [...commonFilters(), ...filters], filter_combination: "AND", @@ -269,6 +280,7 @@ function commonFilters() { { column: "event_type", op: "=", value: "completions" }, { column: "model", op: "exists" }, { column: "model", op: "!=", value: "" }, + { column: "model", op: "!=", value: "alpha-gpt-next" }, ] } @@ -276,10 +288,10 @@ function metricRows( files: string[] | undefined, grain: Grain, opts: ImportOptions, - map: (row: RawRow, base: StatBaseAggregate) => T, + map: (row: RawRow, base: StatBaseAggregate) => T | T[], ) { if (!files) return Promise.resolve([]) - return readFiles(files).then((rows) => rows.map((row) => map(row, baseAggregate(row, grain, opts)))) + return readFiles(files).then((rows) => rows.flatMap((row) => map(row, baseAggregate(row, grain, opts)))) } function lookupRows( @@ -334,10 +346,13 @@ function classifyRows(file: string, rows: RawRow[]): ImportKey { if (rows.length === 0) fail(`Cannot classify empty export: ${file}`) const headers = new Set(rows.flatMap((row) => Object.keys(row).map(normalizeHeader))) const grain: Grain = headers.has("date") ? "day" : "week" - if (headers.has("model")) return hasMetricHeaders(headers) ? `model-${grain}` : `model-provider-model-${grain}` - if (hasHeader(headers, ["country", "cf.country"])) + if (hasHeader(headers, ["country", "cf.country"])) { + if (hasHeader(headers, ["model", "stat_model"]) && hasMetricHeaders(headers)) return `geo-model-${grain}` return hasMetricHeaders(headers) ? `geo-${grain}` : `geo-continent-${grain}` - if (hasHeader(headers, ["provider", "provider.normalized"])) return `provider-${grain}` + } + if (hasHeader(headers, ["model", "stat_model"])) + return hasMetricHeaders(headers) ? `model-${grain}` : `model-provider-model-${grain}` + if (hasHeader(headers, ["provider", "provider.normalized", "stat_provider"])) return `provider-${grain}` fail(`Cannot classify export from columns in ${file}`) } @@ -362,8 +377,27 @@ function mergeFiles(left: Partial>, right: Partial, +): ModelAggregate[] { + const author = provider(row) + if (!author) return [] + + return [ + { + ...base, + provider: author, + model: model(row), + provider_model: providerModelLookup.get(lookupKey(base, author, model(row))) ?? providerModel(row), + }, + ] } function geoContinentLookup(row: RawRow, grain: Grain, opts: ImportOptions): [string, string][] { @@ -373,6 +407,25 @@ function geoContinentLookup(row: RawRow, grain: Grain, opts: ImportOptions): [st return [[lookupKey({ ...base, dataset: opts.dataset, tier: tier(row), grain }, country(row)), value]] } +function geoModelAggregate( + row: RawRow, + base: StatBaseAggregate, + continentLookup: Map, +): GeoAggregate[] { + const author = provider(row) + if (!author) return [] + + return [ + { + ...base, + provider: author, + model: model(row), + country: country(row), + continent: continentLookup.get(lookupKey(base, country(row))) ?? continent(row), + }, + ] +} + function baseAggregate(row: RawRow, grain: Grain, opts: ImportOptions): StatBaseAggregate { return { ...basePeriod(row, grain, opts), @@ -412,24 +465,20 @@ function baseAggregate(row: RawRow, grain: Grain, opts: ImportOptions): StatBase } function basePeriod(row: RawRow, grain: Grain, opts: ImportOptions) { - const period = periodFor(row, grain, opts) - return { period_start: period.start, period_end: period.end } + return { period_key: periodKey(row, grain, opts) } } -function periodFor(row: RawRow, grain: Grain, opts: ImportOptions): Period { +function periodKey(row: RawRow, grain: Grain, opts: ImportOptions) { if (grain === "week") { - const end = opts.periodEnd ?? parseTime(row) - if (!end) fail("--period-end is required for week imports") - return { start: opts.periodStart ?? syncWeekStart(end), end } + const week = parseWeek(row) + if (week) return week + fail("weekly imports require a week or period_key column") } const time = parseTime(row) const start = time ? startOfUtcDay(time) : opts.periodStart if (!start) fail("daily imports require a time column or --period-start") - return { - start, - end: opts.periodEnd && sameUtcDay(start, opts.periodEnd) ? opts.periodEnd : new Date(start.getTime() + DAY_MS), - } + return periodKeyFor("day", start) } function modelRowsFromAggregates(aggregates: ModelAggregate[]) { @@ -459,16 +508,19 @@ function providerRowsFromAggregates(aggregates: ProviderAggregate[]) { } function geoRowsFromAggregates(aggregates: GeoAggregate[]) { - return rankRowsWithMarketShare([ - ...synthesizeAllTierRows( - collapseRows(aggregates.filter((item) => item.grain === "week").map(toGeoRow), geoDimensionKey), - geoDimensionKey, - ), - ...synthesizeAllTierRows( - collapseRows(aggregates.filter((item) => item.grain === "day").map(toGeoRow), geoDimensionKey), - geoDimensionKey, - ), - ]) + return rankRowsWithMarketShare( + [ + ...synthesizeAllTierRows( + collapseRows(aggregates.filter((item) => item.grain === "week").map(toGeoRow), geoDimensionKey), + geoDimensionKey, + ), + ...synthesizeAllTierRows( + collapseRows(aggregates.filter((item) => item.grain === "day").map(toGeoRow), geoDimensionKey), + geoDimensionKey, + ), + ], + geoMarketShareKey, + ) } function toModelRow(data: ModelAggregate): ModelStatRow { @@ -480,7 +532,13 @@ function toProviderRow(data: ProviderAggregate): ProviderStatRow { } function toGeoRow(data: GeoAggregate): GeoStatRow { - return { ...toStatBaseRow(data), country: data.country, continent: data.continent } + return { + ...toStatBaseRow(data), + provider: data.provider, + model: data.model, + country: data.country, + continent: data.continent, + } } function rankModelRows(rows: ModelStatRow[]) { @@ -512,11 +570,15 @@ function providerDimensionKey(row: ProviderStatRow) { } function geoDimensionKey(row: GeoStatRow) { - return row.country + return [row.provider, row.model, row.country].join("\u0000") } -function lookupKey(base: { grain: string; period_start: Date; dataset: string; tier: string }, ...dimension: string[]) { - return [base.grain, base.period_start.toISOString(), base.dataset, base.tier, ...dimension].join("\u0000") +function geoMarketShareKey(row: GeoStatRow) { + return [statPeriodKey(row), row.provider, row.model].join("\u0000") +} + +function lookupKey(base: { grain: string; period_key: string; dataset: string; tier: string }, ...dimension: string[]) { + return [base.grain, base.period_key, base.dataset, base.tier, ...dimension].join("\u0000") } function tier(row: RawRow) { @@ -527,23 +589,19 @@ function deriveTier(row: RawRow) { const source = cell(row, ["source"]) const value = model(row) if (source === "lite") return "Go" - if (FREE_MODELS.has(value) || value.endsWith("-free")) return "Free" + if (FREE_MODELS.has(value) || /-free(:global)?$/.test(rawModel(row))) return "Free" return "Zen" } function provider(row: RawRow) { - return normalizeProvider(cell(row, ["provider.normalized", "stat_provider", "provider"]) || "unknown") -} - -function normalizeProvider(value: string) { - if (value.startsWith("minimax-plan")) return "minimax-plan" - if (value.startsWith("zai-plan")) return "zai-plan" - if (value.startsWith("azure-databricks")) return "azure-databricks" - if (/^azure[0-9]+/.test(value)) return "azure-openai" - return value || "unknown" + return cell(row, ["stat_provider"]) || modelAuthor(model(row)) } function model(row: RawRow) { + return normalizeInferenceModel(cell(row, ["stat_model"]) || rawModel(row)) +} + +function rawModel(row: RawRow) { return cell(row, ["model"]) || "unknown" } @@ -609,20 +667,21 @@ function parseTime(row: RawRow) { return date } -function startOfUtcDay(value: Date) { - return new Date(Date.UTC(value.getUTCFullYear(), value.getUTCMonth(), value.getUTCDate())) -} +function parseWeek(row: RawRow) { + const value = cell(row, ["period_key", "week", "stat_week"]) + if (!value) return undefined -function syncWeekStart(periodEnd: Date) { - return new Date(Date.UTC(periodEnd.getUTCFullYear(), periodEnd.getUTCMonth(), periodEnd.getUTCDate() - 6)) -} + const match = /^(\d{4})-W(\d{1,2})$/.exec(value) + if (!match) fail(`Invalid week value: ${value}`) -function sameUtcDay(left: Date, right: Date) { - return ( - left.getUTCFullYear() === right.getUTCFullYear() && - left.getUTCMonth() === right.getUTCMonth() && - left.getUTCDate() === right.getUTCDate() - ) + const year = Number(match[1]) + const week = Number(match[2]) + if (week < 1 || week > 53) fail(`Invalid week value: ${value}`) + + const start = new Date(startOfIsoWeek(new Date(Date.UTC(year, 0, 4))).getTime() + (week - 1) * 7 * DAY_MS) + const id = `${year}-W${String(week).padStart(2, "0")}` + if (isoWeekId(start) !== id) fail(`Invalid week value: ${value}`) + return id } async function readRows(file: string) { @@ -732,7 +791,6 @@ async function upsertModelRows(db: ReturnType, rows: ModelStatRo .values(chunk) .onDuplicateKeyUpdate({ set: { - period_end: inserted("period_end"), provider_model: inserted("provider_model"), sessions: inserted("sessions"), requests: inserted("requests"), @@ -771,7 +829,6 @@ async function upsertProviderRows(db: ReturnType, rows: Provider .values(chunk) .onDuplicateKeyUpdate({ set: { - period_end: inserted("period_end"), sessions: inserted("sessions"), requests: inserted("requests"), input_tokens: inserted("input_tokens"), @@ -813,7 +870,6 @@ async function upsertGeoRows(db: ReturnType, rows: GeoStatRow[]) .values(chunk) .onDuplicateKeyUpdate({ set: { - period_end: inserted("period_end"), continent: inserted("continent"), sessions: inserted("sessions"), requests: inserted("requests"), @@ -860,7 +916,6 @@ function parseImportOptions(args: string[]): ImportOptions { databaseUrl: flags.get("database-url")?.[0] ?? process.env.DATABASE_URL, directories: flags.get("dir") ?? flags.get("directory") ?? [], dryRun: flags.has("dry-run"), - periodEnd: parseDateFlag(flags, "period-end"), periodStart: parseDateFlag(flags, "period-start"), files, } @@ -913,9 +968,9 @@ function parseListFlag(flags: Map, name: string) { function usage(): never { fail(`Usage: - bun src/honeycomb-backfill.ts queries [--tiers Go,Free,Paid] [--limit 1000] [--include-weekly] - bun src/honeycomb-backfill.ts import [--period-end ISO for weekly files] [--dry-run] [--database-url URL] --dir downloads - bun src/honeycomb-backfill.ts import [--period-end ISO for weekly files] [--dry-run] [--database-url URL] --model-day file.csv [--model-day more.csv] ...`) + bun src/honeycomb-backfill.ts queries [--tiers Go,Free,Paid] [--limit 1000] + bun src/honeycomb-backfill.ts import [--dry-run] [--database-url URL] --dir downloads + bun src/honeycomb-backfill.ts import [--dry-run] [--database-url URL] --model-day file.csv [--model-day more.csv] ...`) } function fail(message: string): never { diff --git a/packages/stats/core/src/stat-sync.ts b/packages/stats/core/src/stat-sync.ts index 7f72cd2ca..b3aba1361 100644 --- a/packages/stats/core/src/stat-sync.ts +++ b/packages/stats/core/src/stat-sync.ts @@ -6,8 +6,10 @@ import { GeoStatRepo, rowsFromAggregates as geoRowsFromAggregates } from "./doma import { buildStatsQuery, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference" import { ModelStatRepo, rowsFromAggregates as modelRowsFromAggregates } from "./domain/model" import { ProviderStatRepo, rowsFromAggregates as providerRowsFromAggregates } from "./domain/provider" +import { startOfIsoWeek } from "./domain/stat" const DATALAKE_INGESTION_LAG_MS = 5 * 60_000 +const WEEK_MS = 7 * 86_400_000 export type SyncStatsResult = { ok: true; rows: number; startedAt: string; periodStart: string; periodEnd: string } export type SyncStatsError = AthenaQueryError | AthenaQueryTimeoutError | DatabaseError @@ -19,9 +21,7 @@ export const syncStats: () => Effect.Effect< > = Effect.fn("StatSync.sync")(function* () { const startedAt = yield* DateTime.nowAsDate const periodEnd = new Date(Math.floor((startedAt.getTime() - DATALAKE_INGESTION_LAG_MS) / 60_000) * 60_000) - const periodStart = new Date( - Date.UTC(periodEnd.getUTCFullYear(), periodEnd.getUTCMonth(), periodEnd.getUTCDate() - 6), - ) + const periodStart = new Date(startOfIsoWeek(periodEnd).getTime() - WEEK_MS) const athena = yield* Athena const modelStats = yield* ModelStatRepo const providerStats = yield* ProviderStatRepo @@ -29,7 +29,7 @@ export const syncStats: () => Effect.Effect< yield* logRuntimeCheck() - const [modelAggregates, providerAggregates, geoAggregates] = yield* Effect.all( + const [modelAggregates, providerAggregates, geoAggregates, geoModelAggregates] = yield* Effect.all( [ athena .query(buildStatsQuery(periodStart, periodEnd, "model")) @@ -40,12 +40,15 @@ export const syncStats: () => Effect.Effect< athena .query(buildStatsQuery(periodStart, periodEnd, "geo")) .pipe(Effect.map((rows) => rows.flatMap(toGeoAggregate))), + athena + .query(buildStatsQuery(periodStart, periodEnd, "geo_model")) + .pipe(Effect.map((rows) => rows.flatMap(toGeoAggregate))), ], { concurrency: "unbounded" }, ) const modelRows = modelRowsFromAggregates(modelAggregates) const providerRows = providerRowsFromAggregates(providerAggregates) - const geoRows = geoRowsFromAggregates(geoAggregates) + const geoRows = geoRowsFromAggregates([...geoAggregates, ...geoModelAggregates]) yield* Effect.all([modelStats.upsert(modelRows), providerStats.upsert(providerRows), geoStats.upsert(geoRows)], { concurrency: "unbounded",