谷歌雲 Function + bigquery：內部服務器錯誤

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.

部署是正確的，但是當我觸發 function（HTTP 觸發器）時，我收到此錯誤：

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.

知道我做錯了什么嗎？？？ 這是我的代碼的簡化版本：

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

[已解決]問題是我忘記了語句return ('some message', http_code) 。

例如： 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)