def searchByMake(make):
e = turo.search()
f = e.searchByMake(make, "dataset/{}Viz.json".format(make))
print f
return render_template("geoViz.html",
DATABASE=f,
titleVal="Make: {}".format(make))
def getSingleVehicle(id_val):
info = {}
e = turo.search()
vals = e.searchSingleID(id_val)
if len(vals) == 0:
return redirect(url_for("getNew"))
else:
vals = vals[0]
for i, val in enumerate(vals):
info[ALL_KEYS[i]] = val
info['avg_price'] = e.getAveragePriceModel(info['vehicle_model'])
info['total_count'] = e.getTotalModel(info['vehicle_model'])
info['price_diff'] = SocioEconomics.Status(
extract_zip(info['location_address']))
tempInfo = []
for i in range(10):
tempInfo.append({
"name": 'test{}'.format(i),
"count": random.randint(1, 100)
})
info = clean_data(info)
return render_template("resultPage.html",
result=info,
newItems=tempInfo,
modelInfo=MODEL_INFO,
myIndex=[x['model'] for x in MODEL_INFO
].index(info['vehicle_make']))
def searchByOwnerID(id_val):
e = turo.search()
f = e.searchUserID(id_val)
DATABASE = f
return render_template("geoViz.html",
DATABASE=DATABASE,
titleVal="Owner ID: {}".format(id_val))
def searchByVehicleID(id_val):
e = turo.search()
f = e.searchVehicleID(id_val)
DATABASE = f
print f
return render_template("geoViz.html",
DATABASE=DATABASE,
titleVal="Vehicle ID: {}".format(id_val))
def searchByModel(model):
e = turo.search()
print model.replace("%20", " ").lower()
f = e.searchByModel(
model.replace("%20", " ").lower(),
"dataset/{}Viz.json".format(model.replace("%20", "")))
DATABASE = f
print f
return render_template("geoViz.html",
DATABASE=DATABASE,
titleVal="Model: {}".format(model))
print(len(infoList))
lock.acquire()
if len(infoList) > 1000:
e = 'moreInfo{}.json'.format(random.randint(1, 50))
with open(e, 'w') as outfile:
json.dump(infoList, outfile)
print("Saved to {}".format(e))
infoList = []
lock.release()
except Exception as exp:
print exp
if __name__ == '__main__':
infoList = []
a = turo.search()
listOfURLs = []
for listing in a.database:
listOfURLs.append(listing['vehicle']['url'])
listOfURLs = chunks(listOfURLs, int(len(listOfURLs) / THREADS))
threads = [
threading.Thread(target=getMoreInfo, args=(ar, )) for ar in listOfURLs
]
for thread in threads:
thread.start()
for thread in threads:
thread.join()
e = 'moreInfo{}.json'.format(random.randint(1, 50))
with open(e, 'w') as outfile:
json.dump(infoList, outfile)