symptoms combinations program

symptomcombinations

#!python
import random
import csv
from itertools import combinations

def chunks(l, n):
    """ Yield successive n-sized chunks from l.
    """
    for i in xrange(0, len(l), n):
        yield l[i:i+n]



items = filter(lambda x: bool(x.get('text',None)), list(csv.DictReader(open('items3.csv', 'rU'), dialect='excel')))
_ = [i.update({'id': j}) for j, i in enumerate(items)]

with open('itemdata.txt', 'w') as f:
    sd = csv.DictWriter(f, fieldnames=items[0].keys())
    sd.writeheader()
    sd.writerows(items)



allpairs = list(combinations(items, 2))
random.shuffle(allpairs)
chunksofpairs = map(list, chunks(allpairs, (len(allpairs)/5) + 1))


template = """
~~~{{#asthmamds1_{0[id]}_{1[id]} .likert}}
<br><br><br>

--------------------------------

How similar are the following situations?

- {0[text]}

- {1[text]}

>>>
1=Not similar at all
2=2
3=3
4=4
5=5
6=6
7=7
8=8
9=9
10=Very similar
~~~
"""


header = """---
finish_on_last_page: false
name: asthmasymptoms1
redirect_url: /profile/
show_progress: false
slug: asthmasymptoms{0}
step_navigation: true
steps_are_sequential: true
success_message: Questionnaire complete.
---

# Introduction

~~~
On the following pages we will ask you to rate how ***similar*** two situations are.

All the situations will be related to asthma, or the side effects of asthma.

You might find the questions odd, or find it hard to say how similar the two situations are - they may seem totally unrelated. In this case just indicate that they are not very similar.
~~~


# Questions


"""

for k, pairs in list(enumerate(chunksofpairs)):
    with open('survey{0}.mdown'.format(k), 'w') as f:
        f.write(header.format(k))
        f.write("\n".join([template.format(i, j) for i, j in pairs]))



# Remember to make page 2 random order