谷歌云 Function + bigquery：内部服务器错误

Question

I'm making a Google cloud Function with python that requests data to an API, perform an ETL, and finally put the resulting panda's dataframe in a big query table.

The deploy is correct, but when I trigger the function (HTTP trigger) I get this error:

Internal Server Error
The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application.

Any idea of what I'am doing wrong??? Here is a simplified version of my code:

import pandas as pd
from google.cloud import bigquery, error_reporting
from bigquery_tools import update_table

def main(request):

  if request:
    try:
        # BIGQUERY CLIENT
        BIGQUERY_CREDENTIALS = "credentials.json"
        BIGQUERY_PROJECT_ID = "my_project_id"
        BIGQUERY_DATASET_ID = "my_dataset_id"
        TABLE_ID = "my_table"
        CLIENT = bigquery.Client(project=BIGQUERY_PROJECT_ID)

        # SOME DATAFRAME
        df = pd.DataFrame({
            "debug": ["debug_a"]
        })
        
        # SAVE TO BIGQUERY
        try:
            dataset_ref = CLIENT.dataset(BIGQUERY_DATASET_ID)
            table_ref = dataset_ref.table(TABLE_ID)
            job_config = bigquery.LoadJobConfig()
            job_config.source_format = bigquery.SourceFormat.PARQUET
            job_config.autodetect = True
            job_config.write_disposition = bigquery.WriteDisposition.WRITE_TRUNCATE

            job = CLIENT.load_table_from_dataframe(
                df,
                table_ref,
                job_config=job_config
            )
            job.result()  # Waits for table load to complete.

        except Exception as e:
            pass
    except Exception as e:
        pass

Answer 1

[SOLVED] the problem was that I forgot the statement return ('some message', http_code) .

For example: return ('ok',200)

        try:
            dataset_ref = CLIENT.dataset(BIGQUERY_DATASET_ID)
            table_ref = dataset_ref.table(TABLE_ID)
            job_config = bigquery.LoadJobConfig()
            job_config.source_format = bigquery.SourceFormat.PARQUET
            job_config.autodetect = True
            job_config.write_disposition = bigquery.WriteDisposition.WRITE_TRUNCATE

            job = CLIENT.load_table_from_dataframe(
                df,
                table_ref,
                job_config=job_config
            )
            job.result()  # Waits for table load to complete.
            return ("ok", 200)
        except Exception as e:
            return ("error", 400)