在从法兰克福证券交易所下载Blob URL数据时,如果遇到文件大小异常和内容不可读的问题,可能是由于以下原因导致的:
User-Agent
、Referer
等)才能正确返回数据。以下是一些可能的解决方案:
确保在请求时添加了必要的请求头。例如:
import requests
url = "https://example.com/blob-url"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
"Referer": "https://example.com/",
}
response = requests.get(url, headers=headers)
with open("data_file", "wb") as file:
file.write(response.content)
如果数据是压缩格式,可以使用gzip
模块进行解压缩:
import gzip
import io
import requests
url = "https://example.com/blob-url"
response = requests.get(url, headers=headers)
# 检查响应头是否包含gzip压缩
if response.headers.get('Content-Encoding') == 'gzip':
with gzip.GzipFile(fileobj=io.BytesIO(response.content)) as gz:
data = gz.read()
else:
data = response.content
with open("data_file", "wb") as file:
file.write(data)
在下载完成后,检查文件大小是否与预期一致。如果文件大小异常,可能是下载不完整或请求失败。
import os
file_size = os.path.getsize("data_file")
print(f"File size: {file_size} bytes")
如果Blob URL是动态生成的,可能需要先获取Blob URL的实际内容。可以使用requests
库来获取Blob URL的内容:
import requests
blob_url = "blob:https://example.com/your-blob-url"
response = requests.get(blob_url, headers=headers)
with open("data_file", "wb") as file:
file.write(response.content)
对于大文件,可以使用流式下载来避免内存问题,并确保文件完整性:
import requests
url = "https://example.com/blob-url"
response = requests.get(url, headers=headers, stream=True)
with open("data_file", "wb") as file:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
file.write(chunk)
在下载过程中添加调试信息,以便更好地理解问题所在:
import requests
import logging
logging.basicConfig(level=logging.DEBUG)
url = "https://example.com/blob-url"
response = requests.get(url, headers=headers)
logging.debug(f"Response status code: {response.status_code}")
logging.debug(f"Response headers: {response.headers}")
with open("data_file", "wb") as file:
file.write(response.content)
确保服务器返回的响应状态码是200(OK),并且响应内容不为空:
if response.status_code == 200 and response.content:
with open("data_file", "wb") as file:
file.write(response.content)
else:
print(f"Failed to download data. Status code: {response.status_code}")
通过以上步骤,你应该能够解决文件大小异常和内容不可读的问题。如果问题仍然存在,建议进一步检查服务器端的限制或联系数据提供方获取更多信息。