Keep persistent variables in memory between runs of Python script

Question

Is there any way of keeping a result variable in memory so I don't have to recalculate it each time I run the beginning of my script? I am doing a long (5-10 sec) series of the exact operations on a data set (which I am reading from disk) every time I run my script. This wouldn't be too much of a problem since I'm pretty good at using the interactive editor to debug my code in between runs; however sometimes the interactive capabilities just don't cut it.

I know I could write my results to a file on disk, but I'd like to avoid doing so if at all possible. This should be a solution which generates a variable the first time I run the script, and keeps it in memory until the shell itself is closed or until I explicitly tell it to fizzle out. Something like this:

# Check if variable already created this session in_mem = var_in_memory() # Returns pointer to var, or False if not in memory yet if not in_mem:     # Read data set from disk     with open('mydata', 'r') as in_handle:         mytext = in_handle.read()     # Extract relevant results from data set     mydata = parse_data(mytext)     result = initial_operations(mydata)     in_mem = store_persistent(result) 

I've an inkling that the shelve module might be what I'm looking for here, but looks like in order to open a shelve variable I would have to specify a file name for the persistent object, and so I'm not sure if it's quite what I'm looking for.

Any tips on getting shelve to do what I want it to do? Any alternative ideas?

Answer 1

You can achieve something like this using the reload global function to re-execute your main script's code. You will need to write a wrapper script that imports your main script, asks it for the variable it wants to cache, caches a copy of that within the wrapper script's module scope, and then when you want (when you hit ENTER on stdin or whatever), it calls reload(yourscriptmodule) but this time passes it the cached object such that yourscript can bypass the expensive computation. Here's a quick example.

wrapper.py

import sys import mainscript  part1Cache = None if __name__ == "__main__":     while True:         if not part1Cache:             part1Cache = mainscript.part1()         mainscript.part2(part1Cache)         print "Press enter to re-run the script, CTRL-C to exit"         sys.stdin.readline()         reload(mainscript) 

mainscript.py

def part1():     print "part1 expensive computation running"     return "This was expensive to compute"  def part2(value):     print "part2 running with %s" % value 

While wrapper.py is running, you can edit mainscript.py, add new code to the part2 function and be able to run your new code against the pre-computed part1Cache.