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#!/usr/bin/env python
import logging
import json
import math
import sys
log = logging.getLogger(__name__)
def parse_placements(j):
fields = j['fields']
for p in j['placements']:
if 'nm' in p:
name = p['nm'][0][0]
elif isinstance(p['n'], basestring):
name = p['n']
else:
name = p['n'][0]
data = [dict(zip(fields, f)) for f in p['p']]
yield name, data
def approx_equal(f1, f2, epsilon=1e-4):
return abs(f1 - f2) < epsilon
def check(fname):
with open(fname) as infile:
j = json.load(infile)
has_post_prob = 'post_prob' in j['fields']
for name, data in parse_placements(j):
if has_post_prob:
tot_pp = math.fsum(p['post_prob'] for p in data)
if not approx_equal(1, tot_pp):
if approx_equal(0, tot_pp):
log.critical("%s: post_prob sums to 0", name)
else:
log.error("%s: post_prob doesn't sum to 1", name)
if any(p['post_prob'] == 0 for p in data):
log.warning("%s: some post_prob == 0", name)
if not approx_equal(1, math.fsum(p['like_weight_ratio'] for p in data)):
log.error("%s: like_weight_ratio doesn't sum to 1", name)
if any(p['like_weight_ratio'] == 0 for p in data):
log.warning("%s: some like_weight_ratio == 0", name)
if __name__ == '__main__':
logging.basicConfig(stream=sys.stderr, level=logging.INFO)
check(sys.argv[1])
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