Create optimally nutritious recipes from the SR-24 database
You can toy with it if you'd like. The interface is lousy since it was originally going to be a GUI until I realized it was good enough to be an interactive console instead.
It wants scipy and numpy, but only for auto-recipe-completion, so you could comment that out. It also wants wxpython for the food display.
From a python2 shell,
import sr24 as s
s.load_globals() # Loads the sr into local structures. Takes a while.
s.load_working() # Loads an ingredient list 'i', food list 'f', recipe 'r', and blacklist 'blacklist'. Everything but 'r' is only useful for auto completion
s.r # Shows the working recipe. Should be the pemmican at this point
s.r.di_off_by() # Percentage off from s._rdi
s.r.get_di() # Absolute total nutrient values (Note that the retention after cooking tables have been applied at this point, you may want to change that)
soy_id = s.display_foods(s.Food.all().where(name_has="soy")) # Wx window listing 'soy' containing foods. The id of the selected one is returned when the window closes
s.r.add_food_id(soy_id, 30) # Add a food by id, gram weight
s.r.get_di()
vit_a = s.Nutrient.by_name('Vitamin A, RAE') # Put the vit a object into a var for convenience
[n.upper for n in s._rdi if n.nut == vit_a] # Display the TUL for vit a
s.save_working()It is also quite possible to customize things by, say, setting up your own RDI or building a better interface for this, but like I said I got this far and suddenly it was useful enough to not make it easier.