Google Checkout订单报告API是Google提供的一种接口,允许开发者以编程方式检索订单数据。扩展CSV格式提供了比标准CSV更详细的订单信息,包括交易详情、买家信息、配送数据等。
Google Checkout API提供多种报告类型:
原因:通常是由于无效的商户ID和密钥 解决:
import base64
import requests
merchant_id = "YOUR_MERCHANT_ID"
merchant_key = "YOUR_MERCHANT_KEY"
auth_string = base64.b64encode(f"{merchant_id}:{merchant_key}".encode()).decode()
headers = {
"Authorization": f"Basic {auth_string}",
"Content-Type": "application/xml; charset=UTF-8"
}
原因:可能未正确设置时间范围或订单状态 解决:
import datetime
today = datetime.datetime.now()
start_date = (today - datetime.timedelta(days=7)).strftime("%Y-%m-%dT%H:%M:%S.000Z")
end_date = today.strftime("%Y-%m-%dT%H:%M:%S.000Z")
params = {
"start-date": start_date,
"end-date": end_date,
"status": "FINISHED", # 可以是NEW, PROCESSING, FINISHED等
"format": "CSV",
"extended": "true"
}
原因:扩展CSV包含多行记录和复杂结构 解决:
import csv
from io import StringIO
# 假设response.text包含API返回的CSV数据
csv_data = StringIO(response.text)
reader = csv.DictReader(csv_data)
for row in reader:
# 处理每行数据
print(row["order-number"], row["buyer-name"], row["total-amount"])
原因:报告数据量过大导致请求超时 解决:
import requests
# 使用流式下载
response = requests.get(api_url, headers=headers, params=params, stream=True)
with open("order_report.csv", "wb") as f:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
f.write(chunk)
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