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shooju.py
123 lines (99 loc) · 3.69 KB
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shooju.py
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#That's a project for Shooju Company
#https://www.jodidata.org/_resources/files/downloads/gas-data/jodi_gas_csv_beta.zip
#Downloads, unzips, parses based on that single URL input
#Writes to stdout a new line delimited (\n) JSON series-by-series representation of the input CSV
#3 keys
#series_id ->
#points
#fields
import urllib2
import zipfile
import csv
import json
import itertools
import pprint
from datetime import datetime
startTime = datetime.now()
url = "https://www.jodidata.org/_resources/files/downloads/gas-data/jodi_gas_csv_beta.zip"
r = urllib2.urlopen(url).read()
with open("jodi_gas.zip", 'wb') as code:
code.write(r)
csv_file = zipfile.ZipFile('jodi_gas.zip').extractall()
def createUniqueSet(reader,key):
newset = set()
for row in reader:
newset.add(row[key])
return newset
def createUniqueListBySet(reader, keyPairs):
uniqueList = []
a = []
for keypair in keyPairs:
for row in list(reader):
#print keypair[0], keypair[1], keypair[2], keypair[3]
if row['FLOW_BREAKDOWN'] == keypair[0] and row['REF_AREA'] == keypair[1] and row['ENERGY_PRODUCT'] == keypair[2] and row['UNIT_MEASURE'] == keypair[3]:
a.append(row)
reader.remove(row)
if a != [] :
#print 'pushing array with: ' + str(len(a)) + " items."
print createSeries(a), '\n'
uniqueList.append(a)
a = []
return uniqueList
def createKeyPairs(COUNTRIES, FLOW_BREAKDOWN, ENERGY_PRODUCT, UNIT_MEASURE):
bigList = []
a = []
for country in COUNTRIES:
for flow in FLOW_BREAKDOWN:
for energy in ENERGY_PRODUCT:
for measure in UNIT_MEASURE:
a.append(country)
a.append(flow)
a.append(energy)
a.append(measure)
bigList.append(a)
a = []
return bigList
def createSeries(arr):
item = arr[0]
points = []
series_id = item['REF_AREA'] + "_" + item['FLOW_BREAKDOWN'] #+ "_" + item['UNIT_MEASURE'] + "_"+ item['ENERGY_PRODUCT']
country = item['REF_AREA']
metric = item['FLOW_BREAKDOWN']
#energy_product = item['ENERGY_PRODUCT']
#unit_measure = item['UNIT_MEASURE']
for item in arr:
a = []
a.append(item['TIME_PERIOD'] + '-01')
a.append(float(item['OBS_VALUE']))
points.append(a)
json_Series = {
"series_id": series_id,
"points": points,
"fields":{
"country":country,
"metric":metric
#'energy_product': energy_product,
#'unit_measure': unit_measure
}
}
return json_Series
series = []
with open('jodi_gas_beta.csv') as csvfile:
reader = list(csv.DictReader(csvfile))
COUNTRIES = createUniqueSet(reader, "REF_AREA")
FLOW_BREAKDOWN = createUniqueSet(reader, "FLOW_BREAKDOWN")
UNIT_MEASURE = createUniqueSet(reader, 'UNIT_MEASURE')
ENERGY_PRODUCT = createUniqueSet(reader, 'ENERGY_PRODUCT')
for country in COUNTRIES:
for flow in FLOW_BREAKDOWN:
iterator = list(itertools.ifilter(lambda x: x['REF_AREA'] == country and x['FLOW_BREAKDOWN'] == flow, reader))
if len(iterator) > 0:
a = createSeries(iterator)
print json.dumps(a, indent=4) , '\n'
series.append(a)
#keyPairs = createKeyPairs(COUNTRIES,FLOW_BREAKDOWN, ENERGY_PRODUCT, UNIT_MEASURE)
#uniqueList = createUniqueListBySet(reader, keyPairs)
with open('myjsonfile_2.json', 'a') as myfile:
print json.dump(a, myfile, sort_keys=True, indent=4, separators=(',', ': '))
print len(series)
print datetime.now() - startTime