Python 使用大查询API将数据摄取到按时间分区的表中，但得到SyntaxError:输入意外结束

我正在尝试将一个CSV文件加载到一个按月份分区的Bigquery表中

代码返回以下错误：

google.api_core.exceptions.BadRequest:400语法错误：预期输入结束，但得到：在[17:24]

语法错误似乎指的是冒号，它是我试图插入到表中的URL字符串的一部分： https**:*//www.example.com

考虑到它只是字符串的一部分，这会提示错误，这似乎很奇怪

我需要以某种方式逃离结肠吗？如果是，怎么做

我的代码是：

import pandas as pd
import pandas_gbq
from google.oauth2 import service_account
from google.cloud import storage
from google.cloud import bigquery
from datetime import datetime

query =
    '''
INSERT INTO
<<project id>>.<<Dataset>>.<<table>>(_PARTITIONTIME,
url,
title,
h1
)
SELECT {},{},{},{}
'''
now = datetime.now().strftime('%Y-%m-%d')


def run():

    client = \
        storage.Client.from_service_account_json('<<path to file>>'
            )
    bq_client = \
        bigquery.Client.from_service_account_json('<<path to file>>'
            )
    bucket = client.bucket('<<bucket name>>')
    blobs = bucket.list_blobs()
    list_temp_raw = []
    for file in blobs:
        filename = file.name
        temp = pd.read_csv('gs://<<bucket name>>/' + filename)
        list_temp_raw.append(temp)
    df = pd.concat(list_temp_raw)
    df = df[cols]
    for i in range(len(df.head())):
        **load_query = query.format(
            now,
            df.loc[i, 'url'],
            df.iloc[i, 'title'],
            df.loc[i, 'h1']
            )
        query_job = bq_client.query(load_query)**
        query_job.result()
run()

---

不确定。。。但是，向查询添加时间戳或等待作业完成可能会有所帮助：

import pandas as pd
import pandas_gbq
from google.oauth2 import service_account
from google.cloud import storage
from google.cloud import bigquery
from datetime import datetime

query =
    '''
INSERT INTO
<<project id>>.<<Dataset>>.<<table>>(_PARTITIONTIME,
a,
b,
c,
d,
)
SELECT TIMESTAMP("{}"),{},{},{},{}
'''
now = datetime.now().strftime('%Y-%m-%d')


def run():

    client = \
        storage.Client.from_service_account_json('<<path to file>>'
            )
    bq_client = \
        bigquery.Client.from_service_account_json('<<path to file>>'
            )
    bucket = client.bucket('<<bucket name>>')
    blobs = bucket.list_blobs()
    list_temp_raw = []
    for file in blobs:
        filename = file.name
        temp = pd.read_csv('gs://<<bucket name>>/' + filename)
        list_temp_raw.append(temp)
    df = pd.concat(list_temp_raw)
    df = df[cols]
    for i in range(len(df.head())):
        load_query = query.format(
            now,
            df.loc[i, 'a'],
            df.iloc[i, 'b'],
            df.loc[i, 'c'],
            df.loc[i, 'd']
            )
        query_job = bq_client.query(load_query)
        query_job.result()  # Wait for the job to complete.
run()

尝试添加括号，如SELECT{}、{}、{}、{}。另外，最好问一个新问题，因为旧的答案现在已经不适用了。这让其他人感到困惑。