You’ve just quickly crafted a python script, and you ready to let it run the whole night while you sleep. Not long after you’ve fallen asleep, an error happens and the script fails. Turns out, you’ll have to wait next night to run that script…
Here is a quick way to save a script state and resume it roughly where it stopped. The idea is to use a serialization library to save you variables’ states when an error happen, and unserialize them when the script starts.
This doesn’t prevent errors, but it’ll save most of the work done. Here is how I’m using it.
Declaring and saving variables
First, when I declare a new variable, I first check wether a serialized backup exists using the
makevar function :
To serialize the variable when an error occurs, I use the
savevar function :
Using the pickle library
The first step is to install the pickle library.
Here are my functions to quickly serialize and unserialize a variable.
Save program state on error
Eventually, here’s how I generally use it :
save_state function calls
savevar for each variable of interest.
What I like with the
finally block is that it works even when you interrupt the script using
ctrl+c, or sending an interrupt signal in a jupyter notebook. So you can stop the script, make a quickfix, and resume its execution without remorse.
Apply this technique in your next python script for scraping!