def attributeHTML():
aaa.require(fail_redirect="/login")
logger.info(request.forms.query)
jsonString = request.forms.query
queryResult = query(jsonString)
# logger.debug(queryResult["selectedAttrs"])
logger.debug(queryResult)
# logger.debug(queryResult["selectedAttrs"])
# return the form input and the query result
return dict(list(queryResult.items()) + list(request.forms.items()))
def attributeHTML():
aaa.require(fail_redirect='/login')
logger.info(request.forms.query)
jsonString = request.forms.query
queryResult = query(jsonString)
#logger.debug(queryResult["selectedAttrs"])
logger.debug(queryResult)
#logger.debug(queryResult["selectedAttrs"])
#return the form input and the query result
return dict(list(queryResult.items()) + list(request.forms.items()))
def search():
aaa.require(fail_redirect="/login")
jsonQuery = form2json(request.forms)
"""
jsonQuery = '''{"keywords":"600Hz 1080p used Plasma HDTV",
"attributes":["size_class", "refresh"],
"filters":[{"attribute":"brand",
"type":"include",
"value":["Sony","Toshiba"]},
{"attribute":"size_class",
"type":"range",
"value":[6,null]}]}'''
"""
queryResult = query(jsonQuery)
# return the form input and the query result
return dict(list(queryResult.items()) + list(request.forms.items()))
def search():
aaa.require(fail_redirect='/login')
jsonQuery = form2json(request.forms)
"""
jsonQuery = '''{"keywords":"600Hz 1080p used Plasma HDTV",
"attributes":["size_class", "refresh"],
"filters":[{"attribute":"brand",
"type":"include",
"value":["Sony","Toshiba"]},
{"attribute":"size_class",
"type":"range",
"value":[6,null]}]}'''
"""
queryResult = query(jsonQuery)
#return the form input and the query result
return dict(list(queryResult.items()) + list(request.forms.items()))
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 27 15:40:43 2012
@author: Max Lang
"""
from matplotlib import pyplot
from shoppersherpa.api.api import query
price = []
rating = []
b = query('{"keywords":"televisions"}')['attrs']['brand']
for option in b['options']:
for stat in option['stats']:
if 'price' in option['stats'] and 'ratings_avg' in option['stats']:
price.append(option['stats']['price']['mean'])
rating.append(option['stats']['ratings_avg']['mean'])
pyplot.scatter(rating,price)
pyplot.show()
