def call_api(self, val):
'''call API from Wolfram Alpha and return output'''
server = 'http://api.wolframalpha.com/v2/query.jsp'
appid = '6LA36U-7V45PGUA6E'
input = val
waeo = wap.WolframAlphaEngine(appid, server)
queryStr = waeo.CreateQuery(val)
wap.WolframAlphaQuery(queryStr, appid)
result = waeo.PerformQuery(queryStr)
result = wap.WolframAlphaQueryResult(result)
for pod in result.Pods():
waPod = wap.Pod(pod)
title = "Pod.title: " + waPod.Title()[0]
self.ls_pod.append(waPod.Title()[0])
for subpod in waPod.Subpods():
waSubpod = wap.Subpod(subpod)
plaintext = waSubpod.Plaintext()[0]
img = waSubpod.Img()
src = wap.scanbranches(img[0], 'src')[0]
alt = wap.scanbranches(img[0], 'alt')[0]
self.ls_src.append(src)
self.ls_alt.append(alt)
self.ls_src = map(str, self.ls_src)
break
return self.ls_pod
def get_results(equation):
queryStr = waeo.CreateQuery(equation)
wap.WolframAlphaQuery(queryStr, WA_APP_ID)
result = waeo.PerformQuery(queryStr)
result = wap.WolframAlphaQueryResult(result)
data = []
answer = []
for pod in result.Pods():
waPod = wap.Pod(pod)
title = "Pod.title: " + waPod.Title()[0]
print title
for subpod in waPod.Subpods():
waSubpod = wap.Subpod(subpod)
plaintext = waSubpod.Plaintext()[0]
img = waSubpod.Img()
src = wap.scanbranches(img[0], 'src')[0]
alt = wap.scanbranches(img[0], 'alt')[0]
print "-------------"
print "img.src: " + src
image = "img.src: " + src
data.append(src)
answer.append(plaintext)
print "img.alt: " + alt
print "\n"
return data, answer
def __init__(self,input_string,assumption,appid,server,medical_test_wolram_query_flag,type_of_calculator,variable_input_dict ):
self.medical_test_wolram_query_flag = medical_test_wolram_query_flag
self.assumption = assumption
self.input_string = input_string
self.create_and_perform_wolfram_query = wap.WolframAlphaEngine(appid, server)
self.query_str = self.create_and_perform_wolfram_query.CreateQuery(self.input_string)
self.wolframalpha_query = wap.WolframAlphaQuery(self.query_str, appid)
self.type_of_calculator = int(type_of_calculator)
self.variable_input_dict = variable_input_dict
def checkConfiguration(self): #if configuration is proper set configured
waeo = wap.WolframAlphaEngine(self.appid, self.host)
waeq = wap.WolframAlphaQuery("pi", self.appid)
waeq.ToURL()
try:
waeqr = wap.WolframAlphaQueryResult(waeo.PerformQuery(waeq.Query))
if (waeqr.IsSuccess()):
self.waeo = waeo
self.configured = True
else:
self.configured = False
except Exception:
print("connection failure")
def getFromWolfram():
inputsta = 'y"+y=0'
appid = '4WKYHL-AWUQL4GWA3' # Use your app id
waeo = wap.WolframAlphaEngine(appid,
'http://api.wolframalpha.com/v2/query?')
waeq = wap.WolframAlphaQuery(inputsta, appid)
waeq.ScanTimeout = '3.0'
waeq.AddPodState('DifferentialEquationSolution__Step-by-step solution')
waeq.Async = False
waeq.ToURL() # After configuring the waeq must call ToURL()
#print(waeq.Query)
result = waeo.PerformQuery(waeq.Query) # result is in xml format
return result
def getResult(self, query): #method to get result
if (self.isConfigured()):
try:
waeq = wap.WolframAlphaQuery(query, self.appid)
waeq.Async = False
waeq.ToURL()
result = self.waeo.PerformQuery(waeq.Query)
waeqr = wap.WolframAlphaQueryResult(result)
for pod in waeqr.Pods():
waep = wap.Pod(pod)
if (waep.PodStates()[0][1][2][1] == 'Step-by-step solution'
):
self.stepinput = waep.PodStates()[0][1][1][1]
break
waeq = wap.WolframAlphaQuery(query, self.appid)
waeq.AddPodState(self.stepinput)
waeq.Async = False
waeq.ToURL()
result = self.waeo.PerformQuery(waeq.Query)
f = open(query + '.txt', 'w')
f.write(result)
f.close()
except Exception:
print("connection problem")
scantimeout = '3.0'
podtimeout = '4.0'
formattimeout = '8.0'
async = 'True'
waeo = wap.WolframAlphaEngine(appid, server)
waeo.ScanTimeout = scantimeout
waeo.PodTimeout = podtimeout
waeo.FormatTimeout = formattimeout
waeo.Async = async
query = waeo.CreateQuery(input)
waeq = wap.WolframAlphaQuery(input, appid)
waeq.ScanTimeout = scantimeout
waeq.PodTimeout = podtimeout
waeq.FormatTimeout = formattimeout
waeq.Async = async
waeq.ToURL()
query = waeq.Query
result = waeo.PerformQuery(query)
#print result
soup = BeautifulSoup(result)
print '\n', "**********************************************", '\n'
res = soup.findAll('assumption')
#print res
for r in res:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import wap
server = 'http://api.wolframalpha.com/v2/query.jsp'
appid = 'XXXX'
input = 'pi'
waeo = wap.WolframAlphaEngine(appid, server)
queryStr = waeo.CreateQuery(input)
wap.WolframAlphaQuery(queryStr, appid)
result = waeo.PerformQuery(queryStr)
result = wap.WolframAlphaQueryResult(result)
for pod in result.Pods():
waPod = wap.Pod(pod)
title = "Pod.title: " + waPod.Title()[0]
print title
for subpod in waPod.Subpods():
waSubpod = wap.Subpod(subpod)
plaintext = waSubpod.Plaintext()[0]
img = waSubpod.Img()
src = wap.scanbranches(img[0], 'src')[0]
alt = wap.scanbranches(img[0], 'alt')[0]
print "-------------"
print "img.src: " + src
print "img.alt: " + alt
print "\n"
qBotLib.resetBotParts();
question=raw_input('\n> ');
if qBotLib.isQuestionProfane(question)==1:
print qBotLib.proFaneMsg_array[random.randint(0,1)];
elif qBotLib.isQuestionOverriden(question)!=-1:
print qBotLib.overridenQAns[qBotLib.isQuestionOverriden(question)];
else:
waeo = wap.WolframAlphaEngine(qBotLib.appid, qBotLib.server);
queryStr = waeo.CreateQuery(question);
wap.WolframAlphaQuery(queryStr, qBotLib.appid);
result = waeo.PerformQuery(queryStr);
result = wap.WolframAlphaQueryResult(result);
for pod in result.Pods():
waPod = wap.Pod(pod);
title = waPod.Title()[0];
if title == "Result":
qBotLib.findAnswer(waPod);
qBotLib.updateNoAnsFlag(1);
break;
#Check if we have any reply from Knowledge engine
if qBotLib.noAns!=1:
print qBotLib.preDefinedMsg_array[random.randint(0,1)];
from time import sleep
from openpyxl import Workbook
sys.path.insert(0, 'lib/wolfram/Python_Binding_1_1')
import wap
wolfram_key = appid = os.environ['WOLFRAM_KEY']
query_url = 'http://api.wolframalpha.com/v2/query.jsp'
job_name = raw_input("What type of job are you looking for (singular)? ")
job_location_name = raw_input("Where would you like to work? ")
engine = wap.WolframAlphaEngine(wolfram_key, query_url)
query = engine.CreateQuery('Average salary for ' + job_name + ' in ' +
job_location_name)
wap.WolframAlphaQuery(query, query_url)
engine_query = engine.PerformQuery(query)
result = wap.WolframAlphaQueryResult(engine_query)
if result.IsSuccess():
print('Success!')
else:
print('Failure!')
exit(1)
for pod in result.Pods():
waPod = wap.Pod(pod)
title = waPod.Title()[0]
print title
if title == 'Result':
for subpod in waPod.Subpods():
