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      <title>🤔 Am I missing something? My Python test passed, but the API payload is weird</title>
      <dc:creator>Hello world </dc:creator>
      <pubDate>Mon, 05 Oct 2026 10:34:33 +0000</pubDate>
      <link>https://dev.to/hello59b7adcd91705f8/am-i-missing-something-my-python-test-passed-but-the-api-payload-is-weird-33fk</link>
      <guid>https://dev.to/hello59b7adcd91705f8/am-i-missing-something-my-python-test-passed-but-the-api-payload-is-weird-33fk</guid>
      <description>&lt;p&gt;Hey everyone! I’m still relatively new to backend development and Python, so please correct me if I'm misunderstanding how this should work.&lt;br&gt;
I was running a quick test script to check a third-party address verification API using the requests library. My test code looked like this:&lt;br&gt;
`import requests&lt;/p&gt;

&lt;h1&gt;
  
  
  Simple test check
&lt;/h1&gt;

&lt;p&gt;response = requests.get("&lt;a href="https://example.com%22" rel="noopener noreferrer"&gt;https://example.com"&lt;/a&gt;)&lt;/p&gt;

&lt;p&gt;if response.ok:&lt;br&gt;
    print("🟢 Test passed! The connection is green.")&lt;br&gt;
&lt;code&gt;&lt;br&gt;
The script successfully printed 🟢 Test passed! because the network returned a clean 200 OK status code.&lt;br&gt;
However, when I printed the actual JSON response payload, it looked like this:&lt;br&gt;
&lt;/code&gt;{&lt;br&gt;
  "status": "success",&lt;br&gt;
  "data": {&lt;br&gt;
    "street": "ERROR: INTERNAL_TIMEOUT_FALLBACK",&lt;br&gt;
    "postal_code": "00000"&lt;br&gt;
  }&lt;br&gt;
}&lt;br&gt;
`&lt;br&gt;
Even though the server ran into a timeout error internally, it still sent a 200 network status and wrapped the error string inside the data dictionary. Because my script only checked response.ok, it almost saved "ERROR: INTERNAL_TIMEOUT..." into my database as a real street name!&lt;br&gt;
As a beginner, I always assumed that if a server fails to do its job, it throws an error code (like 500 or 400). Is it normal for production APIs to hide errors inside a successful 200 OK response?&lt;br&gt;
I’d love to hear how you senior devs handle or validate data payloads like this in Python to keep your systems safe. Let me know what I might be doing wrong!&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;Just a note: The code, the bug scenario, and all the beginner questions here are 100% my own actual experience. I just used an AI tool to clean up my bad grammar, fix the layout, and make my thoughts easier to read before posting.&lt;/p&gt;
&lt;/blockquote&gt;

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      <category>python</category>
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