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Added average metric AVG() to default metrics (#1413)
* Added average metric AVG() to default metrics * Added avg as a column for both SqlaTable and Druid
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caravel/migrations/versions/ad4d656d92bc_add_avg_metric.py
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25
caravel/migrations/versions/ad4d656d92bc_add_avg_metric.py
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"""Add avg() to default metrics
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Revision ID: ad4d656d92bc
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Revises: b46fa1b0b39e
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Create Date: 2016-10-25 10:16:39.871078
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"""
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# revision identifiers, used by Alembic.
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revision = 'ad4d656d92bc'
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down_revision = '7e3ddad2a00b'
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from alembic import op
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import sqlalchemy as sa
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def upgrade():
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op.add_column('columns', sa.Column('avg', sa.Boolean(), nullable=True))
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op.add_column('table_columns', sa.Column('avg', sa.Boolean(), nullable=True))
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def downgrade():
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with op.batch_alter_table('columns') as batch_op:
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batch_op.drop_column('avg')
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with op.batch_alter_table('table_columns') as batch_op:
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batch_op.drop_column('avg')
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@ -1169,6 +1169,7 @@ class SqlaTable(Model, Queryable, AuditMixinNullable, ImportMixin):
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dbcol.groupby = dbcol.is_string
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dbcol.groupby = dbcol.is_string
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dbcol.filterable = dbcol.is_string
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dbcol.filterable = dbcol.is_string
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dbcol.sum = dbcol.isnum
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dbcol.sum = dbcol.isnum
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dbcol.avg = dbcol.isnum
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dbcol.is_dttm = dbcol.is_time
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dbcol.is_dttm = dbcol.is_time
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db.session.merge(self)
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db.session.merge(self)
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@ -1186,6 +1187,13 @@ class SqlaTable(Model, Queryable, AuditMixinNullable, ImportMixin):
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metric_type='sum',
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metric_type='sum',
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expression="SUM({})".format(quoted)
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expression="SUM({})".format(quoted)
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))
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))
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if dbcol.avg:
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metrics.append(M(
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metric_name='avg__' + dbcol.column_name,
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verbose_name='avg__' + dbcol.column_name,
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metric_type='avg',
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expression="AVG({})".format(quoted)
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))
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if dbcol.max:
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if dbcol.max:
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metrics.append(M(
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metrics.append(M(
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metric_name='max__' + dbcol.column_name,
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metric_name='max__' + dbcol.column_name,
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@ -1366,6 +1374,7 @@ class TableColumn(Model, AuditMixinNullable, ImportMixin):
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groupby = Column(Boolean, default=False)
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groupby = Column(Boolean, default=False)
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count_distinct = Column(Boolean, default=False)
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count_distinct = Column(Boolean, default=False)
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sum = Column(Boolean, default=False)
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sum = Column(Boolean, default=False)
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avg = Column(Boolean, default=False)
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max = Column(Boolean, default=False)
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max = Column(Boolean, default=False)
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min = Column(Boolean, default=False)
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min = Column(Boolean, default=False)
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filterable = Column(Boolean, default=False)
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filterable = Column(Boolean, default=False)
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@ -1379,7 +1388,7 @@ class TableColumn(Model, AuditMixinNullable, ImportMixin):
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str_types = ('VARCHAR', 'STRING', 'CHAR')
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str_types = ('VARCHAR', 'STRING', 'CHAR')
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export_fields = (
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export_fields = (
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'table_id', 'column_name', 'verbose_name', 'is_dttm', 'is_active',
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'table_id', 'column_name', 'verbose_name', 'is_dttm', 'is_active',
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'type', 'groupby', 'count_distinct', 'sum', 'max', 'min',
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'type', 'groupby', 'count_distinct', 'sum', 'avg', 'max', 'min',
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'filterable', 'expression', 'description', 'python_date_format',
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'filterable', 'expression', 'description', 'python_date_format',
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'database_expression'
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'database_expression'
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)
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)
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@ -2137,6 +2146,7 @@ class DruidColumn(Model, AuditMixinNullable):
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groupby = Column(Boolean, default=False)
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groupby = Column(Boolean, default=False)
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count_distinct = Column(Boolean, default=False)
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count_distinct = Column(Boolean, default=False)
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sum = Column(Boolean, default=False)
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sum = Column(Boolean, default=False)
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avg = Column(Boolean, default=False)
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max = Column(Boolean, default=False)
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max = Column(Boolean, default=False)
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min = Column(Boolean, default=False)
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min = Column(Boolean, default=False)
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filterable = Column(Boolean, default=False)
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filterable = Column(Boolean, default=False)
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@ -2175,6 +2185,18 @@ class DruidColumn(Model, AuditMixinNullable):
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json=json.dumps({
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json=json.dumps({
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'type': mt, 'name': name, 'fieldName': self.column_name})
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'type': mt, 'name': name, 'fieldName': self.column_name})
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))
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))
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if self.avg and self.isnum:
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mt = corrected_type.lower() + 'Avg'
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name = 'avg__' + self.column_name
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metrics.append(DruidMetric(
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metric_name=name,
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metric_type='avg',
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verbose_name='AVG({})'.format(self.column_name),
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json=json.dumps({
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'type': mt, 'name': name, 'fieldName': self.column_name})
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))
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if self.min and self.isnum:
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if self.min and self.isnum:
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mt = corrected_type.lower() + 'Min'
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mt = corrected_type.lower() + 'Min'
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name = 'min__' + self.column_name
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name = 'min__' + self.column_name
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