Subquery not getting converted property

[veerappans]

I tried a simple subquery query:

`
sub_query = druid_conn.sub_query(datasource='twitterstream_res',
granularity='day',
intervals='2022-01-01/2022-01-03',
dimensions=[],
aggregations={"first_value": doublesum("REVENUE")},
)

group_query = druid_conn.timeseries(
datasource=sub_query,
granularity='day',
intervals='2022-01-01/2022-01-03',
aggregations={"outer_final_value": doublesum("first_value")}
)

df = group_query.export_pandas()
df
`

when I do this, I am getting an druid query syntax error. Its getting converted incorrectly. Can anyone please help.

`{
"aggregations": [
{
"fieldName": "first_value",
"name": "outer_final_value",
"type": "doubleSum"
}
],
"dataSource": {
"dataSources": {
"query": {
"aggregations": [
{
"fieldName": "REVENUE",
"name": "first_value",
"type": "doubleSum"
}
],
"dataSource": "twitterstream",
"granularity": "day",
"intervals": "2022-01-01/2022-01-03",
"queryType": "groupBy"
},
"type": "query"
},
"type": "union"
},
"granularity": "day",
"intervals": "2022-01-01/2022-01-03",
"queryType": "timeseries"
}

druid_conn.timeseries(
datasource=sub_query,
granularity='day',
intervals='2022-01-01/2022-01-03',
aggregations={"outer_final_value": doublesum("first_value")}
)
`

Adding an extra 'union'

[nbehnam]

I ran into the same thing. basically the subquery returns a dict but it isn't handled properly in parse_datasource, it basically assumes that it is a list vs a dictionary and thus thinks its a list of data sources.

[nbehnam]

I created #299 which "should" fix it.