Python BigQuery属性错误：“行”对象没有属性

我有一个row对象row.total_bytes_processed，其中的行不返回任何值。如果它返回None，我有逻辑将值默认为0

如何修复此错误？我可以不将非类型默认为0吗

我已验证所有行的处理总字节数

以下是我的源代码：

from google.cloud import bigquery
from google.oauth2 import service_account



sql = """
SELECT
job_id,
creation_time,
user_email,
query,
total_bytes_processed
FROM `region-us`.INFORMATION_SCHEMA.JOBS_BY_PROJECT
WHERE project_id ='nj-dev-blah'
AND creation_time BETWEEN TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 183 DAY)
AND CURRENT_TIMESTAMP()
ORDER BY creation_time DESC
LIMIT 100
"""


query_job = client.query(sql)# Make an API request.
results = query_job.result()
rows = list(results)
print("The query data:")
# print(rows)
for row in rows:
    if row.total_bytes_processed is  not None:
        cost_dollars = (row.total_bytes_processed/1024 **4) *5
        print( f"JOB_ID : {row.job_id} | Creation_Time : {row.creation_time} |  Query: {row.query} | Total_Bytes_processed : {row.total_bytes_processed} | Estimated_Cost : ${cost_dollars}".format(
        row.job_id, row.creation_time, row.query, row.total_bytes_processed,cost_dollars))
    else:
        row.total_bytes_processed = 0
        cost_dollars = (int(row.total_bytes_processed) / 1024 ** 4) * 5
        print(f"JOB_ID : {row.job_id} | Creation_Time : {row.creation_time} |  Query: {row.query} | Total_Bytes_processed : {row.total_bytes_processed} | Estimated_Cost : ${cost_dollars}".format(row.job_id, row.creation_time, row.query, row.total_bytes_processed, cost_dollars))

---

如果使用以下选项，则具有等于“无”的属性与根本不具有此类属性是不同的：

如果row.total_bytes_processed不是无： Python将尝试访问该对象的属性total_bytes_processed，然后将其与None进行比较。出现此错误是因为在本例中，该对象不存在属性total_bytes_processed

您可以使用hasattr方法，提供对象和要查找的属性的名称作为参数，如果参数存在，则该方法将返回True，否则返回False：

如果为hasattrrow，则处理的总字节数为： 请记住，即使该属性存在且等于“无”，hasattr仍将返回True，因此您可以将其作为外部验证，然后在知道该属性存在后，验证它是否等于“无”，并相应地执行操作。可能是这样的：

对于行中的行： 如果为hasattrrow，则处理的总字节数为： 如果row.total_bytes_processed不是无： 成本\美元=行。总字节\处理/1024**4*5 打印fJOB_ID:{row.job_ID}创建时间：{row.Creation_Time}查询：{row.Query}处理的总字节数：{row.Total_Bytes_processed}估计成本：${Cost_$}.格式 row.job\u id，row.creation\u time，row.query，row.total\u bytes\u processed，cost\u$ 其他： row.total_bytes_processed=0 成本\u美元=介绍总计\u字节\u处理/1024**4*5 printfJOB_-ID:{row.job_-ID}}创建时间：{row.Creation_-Time}查询：{row.Query}处理的字节总数：{row.Total_-Bytes_-processed}估计成本：${Cost_-dollars}.formatrow.job_-ID，row.Creation_-Time，row.Query，row.Total_-Bytes_-processed，Cost-dollars 其他： 处理的总字节数不存在时的代码

row.total_bytes_processed = 0
AttributeError: 'Row' object has no attribute 'total_bytes_processed'

from google.cloud import bigquery
from google.oauth2 import service_account



sql = """
SELECT
job_id,
creation_time,
user_email,
query,
total_bytes_processed
FROM `region-us`.INFORMATION_SCHEMA.JOBS_BY_PROJECT
WHERE project_id ='nj-dev-blah'
AND creation_time BETWEEN TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 183 DAY)
AND CURRENT_TIMESTAMP()
ORDER BY creation_time DESC
LIMIT 100
"""


query_job = client.query(sql)# Make an API request.
results = query_job.result()
rows = list(results)
print("The query data:")
# print(rows)
for row in rows:
    if row.total_bytes_processed is  not None:
        cost_dollars = (row.total_bytes_processed/1024 **4) *5
        print( f"JOB_ID : {row.job_id} | Creation_Time : {row.creation_time} |  Query: {row.query} | Total_Bytes_processed : {row.total_bytes_processed} | Estimated_Cost : ${cost_dollars}".format(
        row.job_id, row.creation_time, row.query, row.total_bytes_processed,cost_dollars))
    else:
        row.total_bytes_processed = 0
        cost_dollars = (int(row.total_bytes_processed) / 1024 ** 4) * 5
        print(f"JOB_ID : {row.job_id} | Creation_Time : {row.creation_time} |  Query: {row.query} | Total_Bytes_processed : {row.total_bytes_processed} | Estimated_Cost : ${cost_dollars}".format(row.job_id, row.creation_time, row.query, row.total_bytes_processed, cost_dollars))