David Draper created ARROW-5799:
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Summary: NotImplementedError: struct<AddressId: int64, Country:
string, County: string, Flat: string, Locality: string, Number: string,
PostCode: string, Street: string, Town: string, Type: string>
Key: ARROW-5799
URL: https://issues.apache.org/jira/browse/ARROW-5799
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 0.13.0
Environment: Python 3.6
Reporter: David Draper
I keep gettting the error in the title. any ideas on how to fix this issue?
for company, credentials in loginCredentials.items():
password = credentials["Password"]
username = credentials["Username"]
Academy = company
Phase = credentials["Phase"]
values = \{"grant_type": "password","username": username, "password": password}
data = urlencode(values).encode()
session = requests.Session()
session.headers = {
'Content-Type': 'application/x-www-form-urlencoded'
}
response_body = session.post(TOKEN_API_URL, data=data)
access_token = json.loads(response_body.text)["access_token"]
#print(Academy +" "+ str(response_body.status_code)+" "+response_body.reason)
session.headers = {
'Authorization': 'Bearer {}'.format(access_token)
}
#print(username + access_token)
learner_responses = session.get(LEARNER_API_URL)
learner_exclusions = session.get(LEARNER_EXCLUSIONS_URL)
#print(Academy + " "+ str(learner_responses.status_code) +" "+
learner_responses.reason)
if learner_responses.status_code == 200:
response = json.loads(learner_responses.text)
learners = pd.DataFrame(response)
learners['Establishment_Name'] = Academy
learners['Establishment_Phase'] = Phase
entries.append(learners)
else:
continue
appended_data = pd.concat(entries, ignore_index=True)
from google.cloud import bigquery
project = 'aet-data-lake'
client = bigquery.Client(credentials=credentials, project=project)
dataset_ref = client.dataset('RAW')
table_ref = dataset_ref.table('Learners_AET')
job_config = bigquery.LoadJobConfig()
job_config.autodetect = True
client.load_table_from_dataframe(appended_data,
table_ref,job_config=job_config).result()
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