我正在尝试访问和修改从 Google Cloud Functions 中的 Google Cloud Storage 提取的换行符 JSON 文件中的数据。结果总是显示为数字,尽管它不是 JSON 中的数据。
我看到 blob 对象的 download_as_string() 返回字节( https://googleapis.github.io/google-cloud-python/latest/_modules/google/cloud/storage/blob.html#Blob.download_as_string )但在任何参考文献中我明白了,每个人都可以很好地访问他们的数据。
我在 Cloud Functions 中这样做,但我认为我的问题适用于任何 GCP 工具。
我下面的示例应该简单地加载换行 JSON 数据,将其添加到列表中,选择前两个字典条目,转换回换行 JSON 并输出到 GCS 上的 JSON 文件。下面列出了示例、代码和错误输出。
示例换行符 JSON 输入
{"Website": "Google", "URL": "Google.com", "ID": 1}
{"Website": "Bing", "URL": "Bing.com", "ID": 2}
{"Website": "Yahoo", "URL": "Yahoo.com", "ID": 3}
{"Website": "Yandex", "URL": "Yandex.com", "ID": 4}
云函数中的代码
import requests
import json
import csv
from datetime import datetime, timedelta
import sys
from collections import OrderedDict
import os
import random
from google.cloud import bigquery
from google.cloud import storage
def importData(request, execution):
# Read the data from Google Cloud Storage
read_storage_client = storage.Client()
# Set buckets and filenames
bucket_name = "sample_bucket"
filename = 'sample_json_output.json'
# get bucket with name
bucket = read_storage_client.get_bucket('sample_bucket')
# get bucket data as blob
blob = bucket.get_blob('sample_json.json')
# download as string
json_data = blob.download_as_string()
# create list
website_list = []
for u,y in enumerate(json_data):
website_list.append(y)
# select first two
website_list = website_list[0:2]
# Create new-line JSON
results_ready = '\n'.join(json.dumps(item) for item in website_list)
# Write the data to Google Cloud Storage
write_storage_client = storage.Client()
write_storage_client.get_bucket(bucket_name) \
.blob(filename) \
.upload_from_string(results_ready)
sample_json_output.json 文件中的当前输出
123
34
预期产出
{"Website": "Google", "URL": "Google.com", "ID": 1}
{"Website": "Bing", "URL": "Bing.com", "ID": 2}
更新 6/6:如果我直接从 _download_tostring blob 写入文件,那么它会完美地写入 JSON 文件,但我需要事先访问内容。
import requests
import json
import csv
from datetime import datetime, timedelta
import sys
from collections import OrderedDict
import os
import random
from google.cloud import bigquery
from google.cloud import storage
def importData(request, execution):
# Read the data from Google Cloud Storage
read_storage_client = storage.Client()
# Set buckets and filenames
bucket_name = "sample_bucket"
filename = 'sample_json_output.json'
# get bucket with name
bucket = read_storage_client.get_bucket('sample_bucket')
# get bucket data as blob
blob = bucket.get_blob('sample_json.json')
# convert to string
json_data = blob.download_as_string()
# Write the data to Google Cloud Storage
write_storage_client = storage.Client()
write_storage_client.get_bucket(bucket_name) \
.blob(filename) \
.upload_from_string(json_data)
更新 6⁄6 输出
{"Website": "Google", "URL": "Google.com", "ID": 1}
{"Website": "Bing", "URL": "Bing.com", "ID": 2}
{"Website": "Yahoo", "URL": "Yahoo.com", "ID": 3}
{"Website": "Yandex", "URL": "Yandex.com", "ID": 4}
原文由 AngryWhopper 发布,翻译遵循 CC BY-SA 4.0 许可协议
我能够在下面的代码中使用与您自己类似的方法和换行 JSON 的 ndjson 库获得您想要的结果。