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Divining Rod Survey Data Sync
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import csv | |
import requests # installed (pip install requests) | |
import json | |
INPUT_FILE = './data/diving-rods-survey-data-2017-04-24.csv' | |
BATCH_SIZE = 100 | |
PREF_API_URL = 'http://localhost:9090/api/rest/v1.0/preferences' | |
def submit_pref_data(data): | |
headers = {u'Content-Type': u'application/json'} | |
r = requests.post(PREF_API_URL, data=json.dumps(data), headers=headers) | |
if (not r.status_code == 200): | |
raise Exception(r.text) | |
def batch(iterable, n=1): | |
l = len(iterable) | |
for ndx in range(0, l, n): | |
yield iterable[ndx:min(ndx + n, l)] | |
def generate_transaction_data(): | |
preference_data = [] | |
with open(INPUT_FILE, 'rb') as csvfile: | |
reader = csv.reader(csvfile, delimiter=',', quotechar='"') | |
for row in reader: | |
user_col_chunks = row[0].split(':') # ['survey', 'user', '9', 'likes'] | |
is_like = user_col_chunks[3] == 'likes' | |
user_id = 'survey_user' + user_col_chunks[2] | |
for i in xrange(1, len(row), 1): | |
preference_data.append({ | |
"item_id": row[i], | |
"pref": is_like, | |
"timestamp": None, | |
"user_id": user_id | |
}) | |
print 'Collected %s prefs' % len(preference_data) | |
print 'Submitting preferences %s at a time.' % BATCH_SIZE | |
cur_batch = 0 | |
for prefs_data in batch(preference_data, BATCH_SIZE): | |
print "* Sending Batch #%s " % cur_batch | |
submit_pref_data(prefs_data) | |
cur_batch += 1 | |
print "Done! " | |
if __name__ == "__main__": | |
generate_transaction_data() |
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