Query step
A query step can be used to query data from the platform and produce an output Data Frame. A query step can have only one output, without any input.
Query config is identical to the API query and therefore can be either a wizata_dsapi.Request
or its JSON form.
Query can be used to retrieves time-series data and can be based on template and/or properties.
Define Timeframe
Query can be defined using either:
- fix start / end timeframe using datetime or timestamp epoch.
- relative time based on now properties. By default, a pipeline defines now as the moment the pipeline was queued.
- custom @variable that can be overridden by user or Trigger
There is a dedicated article regarding Query functionality and usages
You can access to it by clicking here
Below is an example of a query executed using wizata_dsapi:
df = wizata_dsapi.api().query(
template="my_example_factory_template",
twin = "motor_1",
datapoints = ["Bearing1","Bearing2","Bearing3","Bearing4"],
interval=600000,
start="now-2h",
end="now",
agg_method="mean",
null="all"
)
In the pipeline query steps:
pipeline.add_query( #query step
wizata_dsapi.Request(
datapoints =["Bearing1","Bearing2","Bearing3","Bearing4"],
start="now-1d",
end="now",
agg_method="mean",
interval=60000,
null="all"
),
df_name="df"
)
{
"id": "6d3bbdb2-373e-4c74-8c8e-7945d4cada47",
"type": "query",
"config": {
"id": "6941f1f9-a53e-480f-99dd-f8623c04f095",
"equipments_list": [
{
"id": null,
"datapoints": [
"Bearing1",
"Bearing2",
"Bearing3",
"Bearing4"
],
"shift": "0s"
}
],
"timeframe": {
"start": "now-1d",
"end": "now"
},
"aggregations": {
"agg_method": "mean",
"interval": 60000
},
"null": "all",
"template": {
"template_id": "61d63f8b-6142-43bc-bb98-ac146076601b"
},
"filters": {},
"options": {}
},
"inputs": [],
"outputs": [
{
"dataframe": "df"
}
]
}
Updated about 1 month ago