Last updated: July 22, 2025

DQOps REST API sensor_readouts operations

Operations that are retrieving the data quality sensor readouts of executed checks on tables and columns.

get_column_monitoring_sensor_readouts

Returns a complete view of the sensor readouts for recent column level monitoring executions for the monitoring at a requested time scale

Follow the link to see the source code on GitHub.

GET

http://localhost:8888/api/connections/{connectionName}/schemas/{schemaName}/tables/{tableName}/columns/{columnName}/monitoring/{timeScale}/readouts

Return value

Property name	Description	Data type
`sensor_readouts_list_model`		List[SensorReadoutsListModel]

Parameters of this method are described below

Property name	Description	Data type
`connection_name`	Connection name	string
`schema_name`	Schema name	string
`table_name`	Table name	string
`column_name`	Column name	string
`time_scale`	Time scale	CheckTimeScale
`data_group`	Data group	string
`month_start`	Month start boundary	string
`month_end`	Month end boundary	string
`check_name`	Check name	string
`category`	Check category name	string
`table_comparison`	Table comparison name	string
`max_results_per_check`	Maximum number of results per check, the default is 100	long

Usage examples

curlPython sync clientPython async clientPython auth sync clientPython auth async client

Execution

curl http://localhost:8888/api/connections/sample_connection/schemas/sample_schema/tables/sample_table/columns/sample_column/monitoring/daily/readouts^
    -H "Accept: application/json"

Expand to see the returned result

[ {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
} ]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_monitoring_sensor_readouts
from dqops.client.models import CheckTimeScale

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = get_column_monitoring_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_monitoring_sensor_readouts
from dqops.client.models import CheckTimeScale

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = await get_column_monitoring_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_monitoring_sensor_readouts
from dqops.client.models import CheckTimeScale

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = get_column_monitoring_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_monitoring_sensor_readouts
from dqops.client.models import CheckTimeScale

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = await get_column_monitoring_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

get_column_partitioned_sensor_readouts

Returns a view of the sensor readouts for recent column level partitioned checks executions for a requested time scale

Follow the link to see the source code on GitHub.

GET

http://localhost:8888/api/connections/{connectionName}/schemas/{schemaName}/tables/{tableName}/columns/{columnName}/partitioned/{timeScale}/readouts

Return value

Property name	Description	Data type
`sensor_readouts_list_model`		List[SensorReadoutsListModel]

Parameters of this method are described below

Property name	Description	Data type
`connection_name`	Connection name	string
`schema_name`	Schema name	string
`table_name`	Table name	string
`column_name`	Column name	string
`time_scale`	Time scale	CheckTimeScale
`data_group`	Data group	string
`month_start`	Month start boundary	string
`month_end`	Month end boundary	string
`check_name`	Check name	string
`category`	Check category name	string
`table_comparison`	Table comparison name	string
`max_results_per_check`	Maximum number of results per check, the default is 100	long

Usage examples

curlPython sync clientPython async clientPython auth sync clientPython auth async client

Execution

curl http://localhost:8888/api/connections/sample_connection/schemas/sample_schema/tables/sample_table/columns/sample_column/partitioned/daily/readouts^
    -H "Accept: application/json"

Expand to see the returned result

[ {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
} ]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_partitioned_sensor_readouts
from dqops.client.models import CheckTimeScale

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = get_column_partitioned_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_partitioned_sensor_readouts
from dqops.client.models import CheckTimeScale

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = await get_column_partitioned_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_partitioned_sensor_readouts
from dqops.client.models import CheckTimeScale

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = get_column_partitioned_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_partitioned_sensor_readouts
from dqops.client.models import CheckTimeScale

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = await get_column_partitioned_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

get_column_profiling_sensor_readouts

Returns sensor results of the recent check executions for all column level data quality profiling checks on a column

Follow the link to see the source code on GitHub.

GET

http://localhost:8888/api/connections/{connectionName}/schemas/{schemaName}/tables/{tableName}/columns/{columnName}/profiling/readouts

Return value

Property name	Description	Data type
`sensor_readouts_list_model`		List[SensorReadoutsListModel]

Parameters of this method are described below

Property name	Description	Data type
`connection_name`	Connection name	string
`schema_name`	Schema name	string
`table_name`	Table name	string
`column_name`	Column name	string
`data_group`	Data group	string
`month_start`	Month start boundary	string
`month_end`	Month end boundary	string
`check_name`	Check name	string
`category`	Check category name	string
`table_comparison`	Table comparison name	string
`max_results_per_check`	Maximum number of results per check, the default is 100	long

Usage examples

curlPython sync clientPython async clientPython auth sync clientPython auth async client

Execution

curl http://localhost:8888/api/connections/sample_connection/schemas/sample_schema/tables/sample_table/columns/sample_column/profiling/readouts^
    -H "Accept: application/json"

Expand to see the returned result

[ {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
} ]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_profiling_sensor_readouts

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = get_column_profiling_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_profiling_sensor_readouts

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = await get_column_profiling_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_profiling_sensor_readouts

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = get_column_profiling_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_column_profiling_sensor_readouts

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = await get_column_profiling_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    'sample_column',
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

get_table_monitoring_sensor_readouts

Returns the complete results of the most recent table level monitoring executions for the monitoring at a requested time scale

Follow the link to see the source code on GitHub.

GET

http://localhost:8888/api/connections/{connectionName}/schemas/{schemaName}/tables/{tableName}/monitoring/{timeScale}/readouts

Return value

Property name	Description	Data type
`sensor_readouts_list_model`		List[SensorReadoutsListModel]

Parameters of this method are described below

Property name	Description	Data type
`connection_name`	Connection name	string
`schema_name`	Schema name	string
`table_name`	Table name	string
`time_scale`	Time scale	CheckTimeScale
`data_group`	Data group	string
`month_start`	Month start boundary	string
`month_end`	Month end boundary	string
`check_name`	Check name	string
`category`	Check category name	string
`table_comparison`	Table comparison name	string
`max_results_per_check`	Maximum number of results per check, the default is 100	long

Usage examples

curlPython sync clientPython async clientPython auth sync clientPython auth async client

Execution

curl http://localhost:8888/api/connections/sample_connection/schemas/sample_schema/tables/sample_table/monitoring/daily/readouts^
    -H "Accept: application/json"

Expand to see the returned result

[ {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
} ]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_monitoring_sensor_readouts
from dqops.client.models import CheckTimeScale

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = get_table_monitoring_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_monitoring_sensor_readouts
from dqops.client.models import CheckTimeScale

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = await get_table_monitoring_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_monitoring_sensor_readouts
from dqops.client.models import CheckTimeScale

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = get_table_monitoring_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_monitoring_sensor_readouts
from dqops.client.models import CheckTimeScale

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = await get_table_monitoring_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

get_table_partitioned_sensor_readouts

Returns a complete view of sensor readouts for recent table level partitioned checks executions for a requested time scale

Follow the link to see the source code on GitHub.

GET

http://localhost:8888/api/connections/{connectionName}/schemas/{schemaName}/tables/{tableName}/partitioned/{timeScale}/readouts

Return value

Property name	Description	Data type
`sensor_readouts_list_model`		List[SensorReadoutsListModel]

Parameters of this method are described below

Property name	Description	Data type
`connection_name`	Connection name	string
`schema_name`	Schema name	string
`table_name`	Table name	string
`time_scale`	Time scale	CheckTimeScale
`data_group`	Data group	string
`month_start`	Month start boundary	string
`month_end`	Month end boundary	string
`check_name`	Check name	string
`category`	Check category name	string
`table_comparison`	Table comparison name	string
`max_results_per_check`	Maximum number of results per check, the default is 100	long

Usage examples

curlPython sync clientPython async clientPython auth sync clientPython auth async client

Execution

curl http://localhost:8888/api/connections/sample_connection/schemas/sample_schema/tables/sample_table/partitioned/daily/readouts^
    -H "Accept: application/json"

Expand to see the returned result

[ {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
} ]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_partitioned_sensor_readouts
from dqops.client.models import CheckTimeScale

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = get_table_partitioned_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_partitioned_sensor_readouts
from dqops.client.models import CheckTimeScale

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = await get_table_partitioned_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_partitioned_sensor_readouts
from dqops.client.models import CheckTimeScale

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = get_table_partitioned_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_partitioned_sensor_readouts
from dqops.client.models import CheckTimeScale

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = await get_table_partitioned_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    CheckTimeScale.daily,
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

get_table_profiling_sensor_readouts

Returns the complete results of the most recent check executions for all table level data quality profiling checks on a table

Follow the link to see the source code on GitHub.

GET

http://localhost:8888/api/connections/{connectionName}/schemas/{schemaName}/tables/{tableName}/profiling/readouts

Return value

Property name	Description	Data type
`sensor_readouts_list_model`		List[SensorReadoutsListModel]

Parameters of this method are described below

Property name	Description	Data type
`connection_name`	Connection name	string
`schema_name`	Schema name	string
`table_name`	Table name	string
`data_group`	Data group	string
`month_start`	Month start boundary	string
`month_end`	Month end boundary	string
`check_name`	Check name	string
`category`	Check category name	string
`table_comparison`	Table comparison name	string
`max_results_per_check`	Maximum number of results per check, the default is 100	long

Usage examples

curlPython sync clientPython async clientPython auth sync clientPython auth async client

Execution

curl http://localhost:8888/api/connections/sample_connection/schemas/sample_schema/tables/sample_table/profiling/readouts^
    -H "Accept: application/json"

Expand to see the returned result

[ {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
}, {
  "sensorReadoutEntries" : [ ]
} ]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_profiling_sensor_readouts

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = get_table_profiling_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_profiling_sensor_readouts

dqops_client = client.Client(
    'http://localhost:8888/',
    raise_on_unexpected_status=True
)

call_result = await get_table_profiling_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_profiling_sensor_readouts

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = get_table_profiling_sensor_readouts.sync(
    'sample_connection',
    'sample_schema',
    'sample_table',
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]

Execution

from dqops import client
from dqops.client.api.sensor_readouts import get_table_profiling_sensor_readouts

token = 's4mp13_4u7h_70k3n'

dqops_client = client.AuthenticatedClient(
    'http://localhost:8888/',
    token=token,
    raise_on_unexpected_status=True
)

call_result = await get_table_profiling_sensor_readouts.asyncio(
    'sample_connection',
    'sample_schema',
    'sample_table',
    client=dqops_client
)

Expand to see the returned result

[
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    ),
    SensorReadoutsListModel(
        sensor_readout_entries=[

        ]
    )
]