M7XBeastandCursor
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Start the published dbt_f2dq identity at 1.0.0 and document the git install pin. Co-authored-by: Cursor <cursoragent@cursor.com>
74 lines
1.8 KiB
YAML
74 lines
1.8 KiB
YAML
name: "f2dq"
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version: "1.0.0" # dbt_f2dq: modernized fork (dbt_utils 1.4.1); dual-read re_data_* keys
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config-version: 2
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require-dbt-version: [">=1.0.0", "<2.0.0"]
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profile: "f2dq_postgres"
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target-path: "target" # directory which will store compiled SQL files
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clean-targets: ["target", "dbt_modules", "dbt_packages"]
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on-run-end:
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# Dual-read: f2dq:save_test_history or legacy re_data:save_test_history
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- "{% if var('f2dq:save_test_history') or var('re_data:save_test_history', false) %} {{ f2dq.save_test_history(results) }} {% endif %}"
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vars:
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f2dq:max_columns_in_query: 10
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f2dq:time_window_end: '{{ run_started_at.strftime("%Y-%m-%d 00:00:00") }}'
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f2dq:time_window_start: '{{ (run_started_at - modules.datetime.timedelta(1)).strftime("%Y-%m-%d 00:00:00") }}'
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f2dq:anomaly_detection_look_back_days: 30
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f2dq:select: null
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f2dq:anomalies_filtered: f2dq_anomalies
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f2dq:alerting_z_score: 3
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f2dq:save_test_history: false
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f2dq:show_warns_as_alerts: false
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f2dq:anomaly_detector:
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name: modified_z_score
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threshold: 3
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f2dq:store_table_samples: false
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f2dq:metrics_groups:
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table_metrics:
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table:
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- row_count
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- freshness
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column_metrics:
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column:
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numeric:
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- min
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- max
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- avg
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- stddev
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- variance
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- nulls_count
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- nulls_percent
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text:
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- min_length
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- max_length
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- avg_length
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- nulls_count
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- missing_count
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- nulls_percent
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- missing_percent
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boolean:
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- count_true
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- count_false
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- nulls_count
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- nulls_percent
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f2dq:default_metrics:
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- table_metrics
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- column_metrics
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models:
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f2dq:
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+schema: f2
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internal:
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+schema: f2_internal
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