Hey everyone, it's your friendly neighborhood dev elder here.
I run a few bots 24/7 on my home dev PC, and one of them developed a subtly annoying habit: it would reliably die at the same time every single morning.
The error logs always pointed to network-related exceptions. Think requests.exceptions.ConnectionError and its pals. Basically, the moment it tried to hit an API, it would crash with messages like "unknown host" or "connection failed."
But here's the kicker: if I manually kicked off the script right after it crashed, it would run perfectly fine, as if nothing had happened. Running it in the afternoon or middle of the night? No errors whatsoever. It only died at 7 AM, precisely when the PC booted up and the task was scheduled to run. Just that one shot.
This was brutal. Debugging something with a reproduction rate of "only on the first boot of the day" is a special kind of hell.
The Culprit: The 'Network Dead Zone' Right After PC Startup
Naturally, I first suspected my code. Maybe a timeout setting was too aggressive, or a specific API endpoint was flaky only in the mornings. But after countless checks, I couldn't find anything in the code that seemed to be the cause.
Staring at the logs for a while, a thought suddenly struck me: The errors only occurred right after the PC woke from sleep or powered on.
This led to a hypothesis:
"Isn't there a time lag—a few seconds to tens of seconds—right after a PC boots up, where the OS is running but the Wi-Fi adapter hasn't fully connected to the router and obtained an IP address?"
So, the OS would shout, "Alright, we're up! Task Scheduler, get to work!" and fire off my Python script. But at that exact moment, the network wasn't physically ready. My diligent script, trying to hit an API, would naturally slam into a network wall and die. This felt like the truth.
It was a classic timing issue. These kinds of transient, environment-dependent errors are incredibly draining because debugging them with in-code diagnostics often just leads to wild goose chases.
The Fix: Solving It with OS Features, Without Touching a Single Line of Code
There were two main ways to approach this problem:
- Solve at the application layer: Implement retry logic within the Python script. Add
try-exceptblocks to catch network errors, then incorporate logic liketime.sleep(60)before retrying. - Solve at the execution environment (OS) layer: Use the mechanism that's running the script to handle retries gracefully.
Most people would probably jump to (1), but I chose (2) this time.
Why? Because this "network instability right after startup" isn't just a problem for this specific script. If I create another bot that runs at the same time, it's highly likely to hit the same issue. The root cause isn't in the application; it's a characteristic of the execution environment. Therefore, it made more sense for the environment to handle it.
And the tool I used was a super handy, built-in feature of Windows Task Scheduler.
If you open the task properties and go to the "Settings" tab, you'll find an option:
"If the task fails, restart every:"
Bingo. This was it.
I set the interval to "10 minutes" and the "Attempts to restart:" to "2 times."

(Image for illustration. Actual Task Scheduler screen.)
Now, if the task terminates abnormally for any reason (exit code other than 0), Task Scheduler detects it and automatically restarts the task 10 minutes later.
Here's an excerpt from the exported XML of these settings:
<!-- Task Scheduler settings XML excerpt (retry settings) -->
<Settings>
<RestartOnFailure>
<Interval>PT10M</Interval> <!-- Retry after 10 minutes -->
<Count>2</Count> <!-- Up to 2 attempts -->
</RestartOnFailure>
</Settings>
PT10M is in ISO 8601 format, meaning "Period, Time, 10 Minutes." It indicates a 10-minute interval.
Since applying this setting, my bot hasn't died in the morning once. The logs show a failure at 7 AM, but the task restarted 10 minutes later at 7:10 AM, completed its process normally, as if nothing happened. Presumably, it was kicked off again only after the network was fully ready.
Lesson Learned: Be Mindful of Application and Execution Environment Layers
The lesson I took away from this experience is: Don't try to solve everything within your application's code.
Of course, there are errors that an application should handle, like a temporary 503 from an API. But if you stuff retry logic into your code for transient, environment-specific errors like this one, your code quickly becomes overly complex:
- The script loses its simplicity.
- You now have to test the retry logic itself.
- You end up copy-pasting the same logic into other scripts, hurting maintainability.
Leveraging features provided by the OS or execution platforms like Docker and Kubernetes (think health checks and restart policies) allows your application to focus on its core logic. In this case, Windows Task Scheduler perfectly played that role.
Without changing a single line of code, and with just a few clicks of the mouse, my bot's stability dramatically improved. The cost-effectiveness of this solution is insane.
If you're also struggling with "mysterious errors right after PC startup," I highly recommend checking your Task Scheduler settings before diving deep into your script's code.
Until next time!
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