"""
Ex. 6.7 from 'A primer on...
Read info from a file into a nested dictionary.
File is structured in a way that makes it difficult
to process each line with the split-function. We can instead
use string indexing.
Finally, print the info from the dictionary to the screen. 

Purpose of the exercise:
* Read a file with a different structure (cannot use 'split')
* Create a nested dictionary
* Traverse a nested dictionary
* f-string formatting
"""

humans = {}

with open('human_evolution.txt') as infile:
    for line in infile:
        if line[0] == 'H':
            name = line[:20].strip() # key in "main" dict
            #the following will be values in "internal" dict:
            when = line[20:37].strip() 
            height = line[37:50].strip()
            mass = line[50:62].strip()
            brain = line[62:].strip()
            #create a dict with these values, and keys as given in the exercise:
            info = {'when':when, 'height':height, 'weight':mass, 'brain volume':brain}
            #add this dict as a value in the main dict, with name as value:
            humans[name] = info
    
for key, value in humans.items():
    name = key
    w = value['when']
    h = value['height']
    m = value['weight']
    b = value['brain volume']
    #suitable f-string for nice formatting:
    line = f"{name:<20} {w:<14} {h:<10} {m:<10} {b:<}"
    print(line)


"""
Terminal> python humans.py 
H. habilis           2.2 - 1.6      1.0 - 1.5  33 - 55    660
H. erectus           1.4 - 0.2      1.8        60         850 (early) - 1100 (late)
H. ergaster          1.9 - 1.4      1.9                   700 - 850
H. heidelbergensis   0.6 - 0.35     1.8        60         1100 - 1400
H. neanderthalensis  0.35 - 0.03    1.6        55 - 70    1200 - 1700
H. sapiens sapiens   0.2 - present  1.4 - 1.9  50 - 100   1000 - 1850
H. floresiensis      0.10 - 0.012   1.0        25         400
"""