Unable to read from Influxdb cloud serverless using Python Influxdb client 3

I am able to write to cloud serverless using the Influxdb client 3 using:

import os, time
from influxdb_client_3 import InfluxDBClient3, Point

org = "Tide Alerts"
host = "https://us-east-1-1.aws.cloud2.influxdata.com"
token = "myKey"
bucket = "tutorial"

client = InfluxDBClient3(host=host, token=token, org=org)

database="tutorial"

data = {
  "point1": {
    "location": "Klamath",
    "species": "bees",
    "count": 23,
  },
  "point2": {
    "location": "Portland",
    "species": "ants",
    "count": 30,
  },
  "point3": {
    "location": "Klamath",
    "species": "bees",
    "count": 28,
  },
  "point4": {
    "location": "Portland",
    "species": "ants",
    "count": 32,
  },
  "point5": {
    "location": "Klamath",
    "species": "bees",
    "count": 29,
  },
  "point6": {
    "location": "Portland",
    "species": "ants",
    "count": 40,
  },
}

for key in data:
  point = (
    Point("census")
    .tag("location", data[key]["location"])
    .field(data[key]["species"], data[key]["count"])
  )
  client.write(database=database, record=point)
  time.sleep(1) # separate points by 1 second

print("Complete. Return to the InfluxDB UI.")

but when I try and read using:

query = """SELECT *

FROM 'census'

WHERE time >= now() - interval '24 hours'

AND ('bees' IS NOT NULL OR 'ants' IS NOT NULL)"""

# Execute the query

table = client.query(query=query, database="tutorial", language='sql')

# Convert to dataframe

df = table.to_pandas().sort_values(by="time")

print(df)

I get the following error:

---------------------------------------------------------------------------
FlightUnavailableError                    Traceback (most recent call last)
Cell In[4], line 7
      1 query = """SELECT *
      2 FROM 'census'
      3 WHERE time >= now() - interval '24 hours'
      4 AND ('bees' IS NOT NULL OR 'ants' IS NOT NULL)"""
      6 # Execute the query
----> 7 table = client.query(query=query, database="tutorial", language='sql')
      9 # Convert to dataframe
     10 df = table.to_pandas().sort_values(by="time")

File c:\Users\rober\Dropbox\Jupyter\.venv\Lib\site-packages\influxdb_client_3\__init__.py:267, in InfluxDBClient3.query(self, query, language, mode, database, **kwargs)
    264     database = self._database
    266 try:
--> 267     return self._query_api.query(query=query, language=language, mode=mode, database=database, **kwargs)
    268 except InfluxDBError as e:
    269     raise e

File c:\Users\rober\Dropbox\Jupyter\.venv\Lib\site-packages\influxdb_client_3\query\query_api.py:97, in QueryApi.query(self, query, language, mode, database, **kwargs)
     95     return mode_func() if callable(mode_func) else mode_func
     96 except Exception as e:
---> 97     raise e

File c:\Users\rober\Dropbox\Jupyter\.venv\Lib\site-packages\influxdb_client_3\query\query_api.py:81, in QueryApi.query(self, query, language, mode, database, **kwargs)
...
File c:\Users\rober\Dropbox\Jupyter\.venv\Lib\site-packages\pyarrow\_flight.pyx:1708, in pyarrow._flight.FlightClient.do_get()

File c:\Users\rober\Dropbox\Jupyter\.venv\Lib\site-packages\pyarrow\_flight.pyx:68, in pyarrow._flight.check_flight_status()

FlightUnavailableError: Flight returned unavailable error, with message: empty address list: . gRPC client debug context: UNKNOWN:empty address list:  {grpc_status:14, created_time:"2025-01-17T19:48:39.8809075+00:00"}. Client context: IOError: Server never sent a data message. Detail: Internal
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...

Any idea what I am doing wrong? I am able to query sucessfully using flux with the older"InfluxDBClient". This works for example:

import pandas as pd
from influxdb_client import InfluxDBClient
from datetime import datetime, timezone
import time


influxdb_client = InfluxDBClient(host, token, org)        
query_api = influxdb_client.query_api()
# Flux query for last 24 hours of data
query = '''
from(bucket: "tutorial")
    |> range(start: -1h)
    |> limit(n:1)
'''

# Execute query
result = influxdb_client.query_api().query(query=query, org="your-org")

# Convert to dataframe 
df = pd.DataFrame([{
    'time': record.get_time(),
    **{k: v for k, v in record.values.items() if k != '_time'}
} for table in result for record in table])

print(df)

Is this maybe my issue?

If it is I am confused because I am using a recent Cloud Serverless account:

InfluxDB Cloud Serverless
Storage Engine Version 3

Anyone from Influx on this forum? Does anyone have any suggestions on what might be the issue?