diff --git a/ui/package.json b/ui/package.json index f53ea7ce6d..ce4179cdcb 100644 --- a/ui/package.json +++ b/ui/package.json @@ -31,7 +31,7 @@ }, "scripts": { "start": "react-scripts start", - "build": "react-scripts build", + "build": "react-scripts build && chmod ug+x scripts/clear-icons.sh && scripts/clear-icons.sh", "test": "react-scripts test", "eject": "react-scripts eject" }, diff --git a/ui/public/data.json b/ui/public/data.json deleted file mode 100644 index 3fd1630022..0000000000 --- a/ui/public/data.json +++ /dev/null @@ -1,6 +0,0 @@ -[ - { "name": "basketball", "league": "NBA" }, - { "name": "hockey", "league": "NHL" }, - { "name": "football", "league": "UEFA" }, - { "name": "baseball", "league": "MLB" } -] diff --git a/ui/public/empty_registry.json b/ui/public/empty_registry.json deleted file mode 100644 index 2ac5ef3eab..0000000000 --- a/ui/public/empty_registry.json +++ /dev/null @@ -1,3 +0,0 @@ -{ - "project": "empty_registry" -} diff --git a/ui/public/metadata/credit_score_project/featureView/credit_history.json b/ui/public/metadata/credit_score_project/featureView/credit_history.json deleted file mode 100644 index 7e88efd80a..0000000000 --- a/ui/public/metadata/credit_score_project/featureView/credit_history.json +++ /dev/null @@ -1,185 +0,0 @@ -{ - "columnsSummaryStatistics": { - "credit_card_due": { - "name": "credit_card_due", - "valueType": "INT64", - "sampleValues": [1, 2, 3], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - { "x0": 0.6, "x1": 0.7, "count": 0 }, - { "x0": 0.7, "x1": 0.8, "count": 1 }, - { "x0": 0.8, "x1": 0.9, "count": 2 }, - { "x0": 0.9, "x1": 1, "count": 1 } - ], - "proportionOfZeros": 0.01, - "proportionMissing": 0.01, - "min": 0, - "max": 12 - }, - "mortgage_due": { - "name": "mortgage_due", - "valueType": "INT64", - "sampleValues": [4, 6, 8], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - { "x0": 0.6, "x1": 0.7, "count": 0 }, - { "x0": 0.7, "x1": 0.8, "count": 1 }, - { "x0": 0.8, "x1": 0.9, "count": 2 }, - { "x0": 0.9, "x1": 1, "count": 1 } - ], - "proportionOfZeros": 0.01, - "proportionMissing": 0.01, - "min": 0, - "max": 12 - }, - "student_loan_due": { - "name": "student_loan_due", - "valueType": "INT64", - "sampleValues": [0, 1, 3], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - { "x0": 0.6, "x1": 0.7, "count": 0 }, - { "x0": 0.7, "x1": 0.8, "count": 1 }, - { "x0": 0.8, "x1": 0.9, "count": 2 }, - { "x0": 0.9, "x1": 1, "count": 1 } - ], - "proportionOfZeros": 0.01, - "proportionMissing": 0.01, - "min": 0, - "max": 12 - }, - "vehicle_loan_due": { - "name": "vehicle_loan_due", - "valueType": "INT64", - "sampleValues": [2, 1, 0], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - { "x0": 0.6, "x1": 0.7, "count": 0 }, - { "x0": 0.7, "x1": 0.8, "count": 1 }, - { "x0": 0.8, "x1": 0.9, "count": 2 }, - { "x0": 0.9, "x1": 1, "count": 1 } - ] - }, - "hard_pulls": { - "name": "hard_pulls", - "valueType": "INT64", - "sampleValues": [0, 9, 12], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - { "x0": 0.6, "x1": 0.7, "count": 0 }, - { "x0": 0.7, "x1": 0.8, "count": 1 }, - { "x0": 0.8, "x1": 0.9, "count": 2 }, - { "x0": 0.9, "x1": 1, "count": 1 } - ], - "proportionOfZeros": 0.01, - "proportionMissing": 0.01, - "min": 0, - "max": 12 - }, - "missed_payments_2y": { - "name": "missed_payments_2y", - "valueType": "INT64", - "sampleValues": [0, 1, 3], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - { "x0": 0.6, "x1": 0.7, "count": 0 }, - { "x0": 0.7, "x1": 0.8, "count": 1 }, - { "x0": 0.8, "x1": 0.9, "count": 2 }, - { "x0": 0.9, "x1": 1, "count": 1 } - ], - "proportionOfZeros": 0.01, - "proportionMissing": 0.01, - "min": 0, - "max": 12 - }, - "missed_payments_1y": { - "name": "missed_payments_1y", - "valueType": "INT64", - "sampleValues": [0, 1, 3], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - { "x0": 0.6, "x1": 0.7, "count": 0 }, - { "x0": 0.7, "x1": 0.8, "count": 1 }, - { "x0": 0.8, "x1": 0.9, "count": 2 }, - { "x0": 0.9, "x1": 1, "count": 1 } - ], - "proportionOfZeros": 0.01, - "proportionMissing": 0.01, - "min": 0, - "max": 12 - }, - "missed_payments_6m": { - "name": "missed_payments_6m", - "valueType": "INT64", - "sampleValues": [0, 1, 3], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - { "x0": 0.6, "x1": 0.7, "count": 0 }, - { "x0": 0.7, "x1": 0.8, "count": 1 }, - { "x0": 0.8, "x1": 0.9, "count": 2 }, - { "x0": 0.9, "x1": 1, "count": 1 } - ] - }, - "bankruptcies": { - "name": "bankruptcies", - "valueType": "INT64", - "sampleValues": [0, 1, 3], - "histogram": [ - { "x0": 0, "x1": 0.1, "count": 35 }, - { "x0": 0.1, "x1": 0.2, "count": 8 }, - { "x0": 0.2, "x1": 0.3, "count": 5 }, - { "x0": 0.3, "x1": 0.4, "count": 3 }, - { "x0": 0.4, "x1": 0.5, "count": 2 }, - { "x0": 0.5, "x1": 0.6, "count": 1 }, - 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"project": "credit_scoring_aws", - "dataSources": [ - { - "type": "BATCH_FILE", - "eventTimestampColumn": "event_timestamp", - "createdTimestampColumn": "created_timestamp", - "fileOptions": { - "fileUrl": "data/credit_history.parquet" - }, - "name": "credit_history", - "meta": { - "latestEventTimestamp": "2021-08-29T22:01:04.746575Z", - "earliestEventTimestamp": "2020-04-26T22:01:04.746575Z" - } - }, - { - "type": "REQUEST_SOURCE", - "requestDataOptions": { - "schema": { - "transaction_amt": "INT64" - } - }, - "name": "transaction" - }, - { - "type": "BATCH_FILE", - "eventTimestampColumn": "event_timestamp", - "createdTimestampColumn": "created_timestamp", - "fileOptions": { - "fileUrl": "data/zipcode_table.parquet" - }, - "name": "zipcode", - "meta": { - "latestEventTimestamp": "2017-01-01T12:00:00Z", - "earliestEventTimestamp": "2017-01-01T12:00:00Z" - } - } - ], "entities": [ { + "meta": {}, "spec": { + "joinKey": "__dummy_id", "name": "__dummy", - "valueType": "STRING", - "joinKey": "__dummy_id" - }, - "meta": { - "createdTimestamp": "2022-02-09T20:40:53.101387Z", - "lastUpdatedTimestamp": "2022-02-09T20:40:53.101387Z" + "valueType": "INT32" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "account_id", + "name": "account", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "advertiser_id", + "name": "advertiser", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "app_id", + "name": "app", + "valueType": "STRING" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "campaign_id", + "name": "campaign", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "candidate_id", + "name": "candidate", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "country_code", + "name": "country_code", + "valueType": "STRING" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "gender", + "name": "gender", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "geo", + "name": "geo", + "valueType": "STRING" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "hashed_device_id", + "name": "hashed_device", + "valueType": "STRING" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "li_obj", + "name": "li_obj", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "lineitem_id", + "name": "lineitem", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "os", + "name": "os", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "promoted_tweet_id", + "name": "promoted_tweet", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "source_user_id", + "name": "source_user", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "target_user_id", + "name": "target_user", + "valueType": "INT64" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "tgt_cr", + "name": "tgt_cr", + "valueType": "STRING" + } + }, + { + "meta": {}, + "spec": { + "joinKey": "topic_id", + "name": "topic", + "valueType": "STRING" } }, { + "meta": {}, "spec": { - "name": "dob_ssn", - "valueType": "STRING", - "description": "Date of birth and last four digits of social security number", - "joinKey": "dob_ssn", - "labels": { - "team": "hack week", - "owner": "tony@tecton.ai" - } - }, - "meta": { - "createdTimestamp": "2022-02-09T20:40:53.101256Z", - "lastUpdatedTimestamp": "2022-02-09T20:40:53.101256Z" + "joinKey": "tweet_id", + "name": "tweet", + "valueType": "INT64" } }, { + "meta": {}, "spec": { - "name": "zipcode", - "valueType": "INT64", - "description": "A zipcode", - "joinKey": "zipcode", - "labels": { - "owner": "danny@tecton.ai", - "team": "hack week" - } - }, - "meta": { - "createdTimestamp": "2022-02-09T20:40:53.101335Z", - "lastUpdatedTimestamp": "2022-02-09T20:40:53.101335Z" + "joinKey": "user_id", + "name": "user", + "valueType": "INT64" } } ], "featureViews": [ { + "meta": {}, "spec": { - "name": "credit_history", - "entities": ["dob_ssn"], + "batchSource": { + "bigqueryOptions": { + "query": "select * from twttr-bq-featurestore-prod.video.engagement_counts_v1 where feature_name='a8rXgender'" + }, + "dataSourceClassType": "feast.infra.offline_stores.bigquery_source.BigQuerySource", + "eventTimestampColumn": "ts", + "type": "BATCH_BIGQUERY" + }, + "entities": [ + "advertiser", + "gender" + ], "features": [ { - "name": "credit_card_due", + "name": "impression_count_1h", + "valueType": "INT64" + }, + { + "name": "engagement_count_1h", + "valueType": "INT64" + }, + { + "name": "impression_count_1d", + "valueType": "INT64" + }, + { + "name": "engagement_count_1d", + "valueType": "INT64" + }, + { + "name": "impression_count_7d", + "valueType": "INT64" + }, + { + "name": "engagement_count_7d", "valueType": "INT64" + } + ], + "name": "a8rXgender_video_cnts", + "online": true, + "tags": { + "description": "DESCRIPTION_NEEDED_MARKER_FEAST", + "online_store": "MHRO", + "team": "REVSCI" + }, + "ttl": "3600s" + } + }, + { + "meta": {}, + "spec": { + "batchSource": { + "bigqueryOptions": { + "query": "select * from twttr-bq-featurestore-prod.video.streaming_engagement_counts_v2 where feature_name='a8rXgender'" }, + "dataSourceClassType": "feast.infra.offline_stores.bigquery_source.BigQuerySource", + "eventTimestampColumn": "ts", + "type": "BATCH_BIGQUERY" + }, + "entities": [ + "advertiser", + "gender" + ], + "features": [ { - "name": "mortgage_due", + "name": "impression_count_1h", "valueType": "INT64" }, { - "name": "student_loan_due", + "name": "engagement_count_1h", "valueType": "INT64" + } + ], + "name": "a8rXgender_video_cnts_stream", + "online": true, + "tags": { + "description": "DESCRIPTION_NEEDED_MARKER_FEAST", + "team": "REVSCI" + }, + "ttl": "300s" + } + }, + { + "meta": {}, + "spec": { + "batchSource": { + "bigqueryOptions": { + "query": "select * from twttr-bq-featurestore-prod.video.engagement_counts_v1 where feature_name='a8rXgeo'" }, + "dataSourceClassType": "feast.infra.offline_stores.bigquery_source.BigQuerySource", + "eventTimestampColumn": "ts", + "type": "BATCH_BIGQUERY" + }, + "entities": [ + "advertiser", + "geo" + ], + "features": [ { - "name": "vehicle_loan_due", + "name": "impression_count_1h", "valueType": "INT64" }, { - "name": "hard_pulls", + "name": "engagement_count_1h", "valueType": "INT64" }, { - "name": "missed_payments_2y", + "name": "impression_count_1d", "valueType": "INT64" }, { - "name": "missed_payments_1y", + "name": "engagement_count_1d", "valueType": "INT64" }, { - "name": "missed_payments_6m", + "name": "impression_count_7d", "valueType": "INT64" }, { - "name": "bankruptcies", + "name": "engagement_count_7d", "valueType": "INT64" } ], + "name": "a8rXgeo_video_cnts", + "online": true, "tags": { - "access_group": "feast-team@tecton.ai", - "experiments": "experiment-A", - "date_added": "2022-02-6" + "description": "DESCRIPTION_NEEDED_MARKER_FEAST", + "team": "REVSCI" }, - "ttl": "777600000s", + "ttl": "3600s" + } + }, + { + "meta": {}, + "spec": { "batchSource": { - "type": "BATCH_FILE", - "eventTimestampColumn": "event_timestamp", - "createdTimestampColumn": "created_timestamp", - "fileOptions": { - "fileUrl": "data/credit_history.parquet" + "bigqueryOptions": { + "query": "select * from twttr-bq-featurestore-prod.video.streaming_engagement_counts_v2 where feature_name='a8rXgeo'" }, - "dataSourceClassType": "feast.infra.offline_stores.file_source.FileSource", - 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"user_tweet_aggregated_counts_features__number_of_retweets_in__all_time", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_retweets_in__feature_created_at", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_retweets_in__last_30_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_retweets_in__last_365_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_retweets_in__last_7_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_retweets_in__last_90_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_photos_in__all_time", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_photos_in__feature_created_at", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_photos_in__last_30_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_photos_in__last_365_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_photos_in__last_7_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_photos_in__last_90_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_videos_in__all_time", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_videos_in__feature_created_at", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_videos_in__last_30_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_videos_in__last_365_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_videos_in__last_7_days", + "valueType": "INT64" + }, + { + "name": "user_tweet_aggregated_counts_features__number_of_tweets_with_videos_in__last_90_days", + "valueType": "INT64" + } + ], + "name": "user_tweet_aggregated_counts", + "online": true, + "tags": { + "description": "Features for counts of Tweet activities for each user. For more info see http://go/docbird/ssa_feature_nest/data_processing.html#tweet-counts-pipeline", + "fs10_dataset": "https://cortex.twitter.biz/datasets/com.twitter.ml.featurestore.catalog.datasets.ssa.UserTweetAggregatedCountsDataset", + "team": "MLFM" + }, + "ttl": "86400s" + } + }, + { + "meta": {}, + "spec": { + "batchSource": { + "bigqueryOptions": { + "query": "select * from twttr-bq-featurestore-prod.video.engagement_counts_v1 where feature_name='user'" + }, + "dataSourceClassType": "feast.infra.offline_stores.bigquery_source.BigQuerySource", + "eventTimestampColumn": "ts", + "type": "BATCH_BIGQUERY" + }, + "entities": [ + "user" + ], + "features": [ + { + "name": "impression_count_1h", + "valueType": "INT64" + }, + { + "name": "engagement_count_1h", + "valueType": "INT64" + }, + { + "name": "impression_count_1d", + "valueType": "INT64" + }, + { + "name": "engagement_count_1d", + "valueType": "INT64" + }, + { + "name": "impression_count_7d", + "valueType": "INT64" + }, + { + "name": "engagement_count_7d", + "valueType": "INT64" + } + ], + "name": "user_video_cnts", + "online": true, + "tags": { + "description": "DESCRIPTION_NEEDED_MARKER_FEAST", + "online_store": "MHRO", + "team": "REVSCI" + }, + "ttl": "3600s" + } + }, + { + "meta": {}, + "spec": { + "batchSource": { + "bigqueryOptions": { + "tableRef": "twttr-bq-featurestore-prod.hss.userhealthscores" + }, + "dataSourceClassType": "feast.infra.offline_stores.bigquery_source.BigQuerySource", + "eventTimestampColumn": "ts", + "name": "twttr-bq-featurestore-prod.hss.userhealthscores", + "type": "BATCH_BIGQUERY" + }, + "entities": [ + "user" + ], + "features": [ + { + "name": "user_health_scores__agatha_all_spam_reports_per_fav_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__agatha_calibrated_nsfw_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__agatha_cse_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__agatha_isis_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__agatha_qanon_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__agatha_recent_abuse_strike_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__agatha_reports_per_fav_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__agatha_spam_reports_per_fav_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__agatha_spam_suspended_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__nsfw_agatha_user_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__nsfw_text_user_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__spammy_user_score", + "valueType": "DOUBLE" + }, + { + "name": "user_health_scores__user_us_political_engagement_score", + "valueType": "DOUBLE" + } + ], + "name": "userhealthscores", + "online": true, + "tags": { + "description": "Scores for various User health models. See http://go/hss for more information.", + "fs10_dataset": "https://cortex.twitter.biz/datasets/com.twitter.ml.featurestore.catalog.datasets.hss.UserHealthScoresDataset", + "prepend_strategy": "dataset", + "team": "HMLI" + }, + "ttl": "314496000s" + } + } + ], + "project": "production" } diff --git a/ui/scripts/clear-icons.sh b/ui/scripts/clear-icons.sh new file mode 100755 index 0000000000..edbeec42cb --- /dev/null +++ b/ui/scripts/clear-icons.sh @@ -0,0 +1,23 @@ +#!/bin/bash + +cd build/static/js + +# find `(type|icon|iconType): "..."` in code +icon_types=$( + grep -ro '\b\(type\|icon\(Type\)\?\):\s*['\''"][[:alnum:]_-]\+' . | + awk -F '['\''"]' '{print $2}' | + sort -u +) + +# EUI maps icon types to differently spelled file labels in an object, so look for +# `(icon1|icon2|...): "..."` in code +icon_file_types=$( + grep -ro '\('"$(echo $icon_types | sed 's/ /\\|/g')"'\):\s*['\''"][[:alnum:]_-]\+' . | + awk -F '['\''"]' '{print $2}' | + sort -u +) + +# Find icon.* files that don't match the above file types and remove +ls -d icon.* | + grep -v '\.\('"$(echo $icon_file_types | sed 's/ /\\|/g')"'\)\.' | + xargs rm diff --git a/ui/src/hooks/useFCOExploreSuggestions.ts b/ui/src/hooks/useFCOExploreSuggestions.ts index e6a2a1e0eb..32b9d2769f 100644 --- a/ui/src/hooks/useFCOExploreSuggestions.ts +++ b/ui/src/hooks/useFCOExploreSuggestions.ts @@ -34,7 +34,7 @@ const createSearchLink = ( return URL + "?" + encodeSearchQueryString(`${key}:${value}`); }; -const NUMBER_OF_SUGGESTION_GROUPS = 2; +const NUMBER_OF_SUGGESTION_GROUPS = 1; const NUMBER_OF_VALUES_PER_GROUP = 4; const sortTagByUniqueValues = ( diff --git a/ui/src/pages/ProjectOverviewPage.tsx b/ui/src/pages/ProjectOverviewPage.tsx index 00e6bf1aa7..d758455956 100644 --- a/ui/src/pages/ProjectOverviewPage.tsx +++ b/ui/src/pages/ProjectOverviewPage.tsx @@ -65,23 +65,19 @@ const ProjectOverviewPage = () => { ) : (

- Welcome to your new Feast project. In this UI, you can see - Data Sources, Entities, Feature Views and Feature Services - registered in Feast. + Welcome to the Twitter Feature Store production metadata store! If you + are new to Feature Store we suggest checking out our{' '} + DocBird page.

- It look like this project already have some objects - registered. If you are new to this project, we suggest + If you are new to this project, we suggest starting by exploring the Feature Services, as they represent the collection of Feature Views serving a particular model.

- Note: We encourage you to replace this - welcome message with more suitable content for your team. - You can do so by specifying a{" "} - project_description in your{" "} - feature_store.yaml file. + Questions?: Please reach out to the{' '} + #ml-platform-support channel.

))} diff --git a/ui/src/pages/entities/EntityOverviewTab.tsx b/ui/src/pages/entities/EntityOverviewTab.tsx index ed539ff5ee..dce0c12824 100644 --- a/ui/src/pages/entities/EntityOverviewTab.tsx +++ b/ui/src/pages/entities/EntityOverviewTab.tsx @@ -9,6 +9,7 @@ import { EuiText, EuiFlexItem, EuiSpacer, + EuiStat, EuiDescriptionList, EuiDescriptionListTitle, EuiDescriptionListDescription, @@ -71,12 +72,20 @@ const EntityOverviewTab = () => { Created - {data.meta.createdTimestamp.toLocaleDateString("en-CA")} + {data.meta.createdTimestamp ? ( + data.meta.createdTimestamp.toLocaleDateString("en-CA") + ) : ( + No createdTimestamp specified on this entity. + )} Updated - {data.meta.lastUpdatedTimestamp.toLocaleDateString("en-CA")} + {data.meta.lastUpdatedTimestamp ? ( + data.meta.lastUpdatedTimestamp.toLocaleDateString("en-CA") + ) : ( + No lastUpdatedTimestamp specified on this entity. + )} diff --git a/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx b/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx index 70a7fdec17..4475b6ad0c 100644 --- a/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx +++ b/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx @@ -60,7 +60,7 @@ const RegularFeatureViewOverviewTab = ({ - {data.spec.batchSource.meta && ( + {data.spec.batchSource.meta ? ( + ) : ( + No batchSource specified on this feature view. )} - {data.meta.lastUpdatedTimestamp && ( new Date(val)), - lastUpdatedTimestamp: z.string().transform((val) => new Date(val)), + createdTimestamp: z.string().transform((val) => new Date(val)).optional(), + lastUpdatedTimestamp: z.string().transform((val) => new Date(val)).optional(), }), }); diff --git a/ui/src/parsers/feastFeatureViews.ts b/ui/src/parsers/feastFeatureViews.ts index 013f70b1fe..c8cdadd25c 100644 --- a/ui/src/parsers/feastFeatureViews.ts +++ b/ui/src/parsers/feastFeatureViews.ts @@ -13,7 +13,7 @@ const FeastBatchSourceSchema = z.object({ fileOptions: z.object({ fileUrl: z.string().optional(), }).optional(), - name: z.string(), + name: z.string().optional(), meta: z.object({ earliestEventTimestamp: z.string().transform((val) => new Date(val)), latestEventTimestamp: z.string().transform((val) => new Date(val)), @@ -39,8 +39,8 @@ const FeastFeatureViewSchema = z.object({ tags: z.record(z.string()).optional(), }), meta: z.object({ - createdTimestamp: z.string().transform((val) => new Date(val)), - lastUpdatedTimestamp: z.string().transform((val) => new Date(val)), + createdTimestamp: z.string().transform((val) => new Date(val)).optional(), + lastUpdatedTimestamp: z.string().transform((val) => new Date(val)).optional(), materializationIntervals: z .array( z.object({ diff --git a/ui/src/parsers/parseEntityRelationships.ts b/ui/src/parsers/parseEntityRelationships.ts index f6e1b1af1f..bf82e86ff9 100644 --- a/ui/src/parsers/parseEntityRelationships.ts +++ b/ui/src/parsers/parseEntityRelationships.ts @@ -46,7 +46,7 @@ const parseEntityRelationships = (objects: FeastRegistryType) => { links.push({ source: { type: FEAST_FCO_TYPES["dataSource"], - name: fv.spec.batchSource.name + name: fv.spec.batchSource.name || '' }, target: { type: FEAST_FCO_TYPES["featureView"], @@ -77,7 +77,7 @@ const parseEntityRelationships = (objects: FeastRegistryType) => { links.push({ source: { type: FEAST_FCO_TYPES["dataSource"], - name: source_fv?.spec.batchSource.name, + name: source_fv?.spec.batchSource.name || '', }, target: { type: FEAST_FCO_TYPES["featureView"],