def toText(movieWithScore):
output = []
if movieWithScore:
tie = [
movie[0] for movie in movieWithScore
if movieWithScore[0][1] == movie[1]
]
movieID = random.choice(tie)
data = movieCtrl.moviebyID(movieID)
print data
# process directors and actors into readable for output
output.append("How about " + data[1] + " (" + data[3] + ")? ")
if len(data) > 10:
dlist = data[11].split(' ')
alist = data[14].split(' ')
actorNameList = movieCtrl.actorsbyID(alist)
directorNameList = movieCtrl.actorsbyID(dlist)
output.append(data[1] + " stars " + ", ".join(actorNameList) + " and is directed by " + \
", ".join(directorNameList) + ".")
output.append("This film is {} minutes long. It is {} {} movie, and is rated {}.".format(
data[8],
"an" if any(v in data[4][:1].lower() for v in ['a','e','i','o','u']) else "a",
data[4].replace(" ", ",", data[4].count(" ") - 1)\
.replace(" ", " and ")\
.replace(",", ", "),
data[6]
))
return output
def toText(movieWithScore):
output = []
if movieWithScore:
tie = [
movie[0] for movie in movieWithScore
if movieWithScore[0][1] == movie[1]
]
movieID = random.choice(tie)
data = movieCtrl.moviebyID(movieID)
print data
# process directors and actors into readable for output
output.append("How about " + data[1] + " (" + data[3] + ")? ")
if len(data) > 10:
dlist = data[12].split(' ')
alist = data[16].split(' ')
actorNameList = movieCtrl.actorsbyID(alist)
directorNameList = movieCtrl.actorsbyID(dlist)
output.append(data[1] + " stars " + ", ".join(actorNameList) + " and is directed by " + \
", ".join(directorNameList) + ".")
output.append("This film is {} minutes long. It is {} {} movie, and is rated {}.".format(
data[8],
"an" if any(v in data[4][:1].lower() for v in ['a','e','i','o','u']) else "a",
data[4].replace(" ", ",", data[4].count(" ") - 1)\
.replace(" ", " and ")\
.replace(",", ", "),
data[6]
))
return output
# temp = ['tt0475290', 'tt2005151', 'tt0160127', 'tt0117665', 'tt0109254', 'tt0363589', 'tt0988045', 'tt0250258', 'tt0059113', 'tt0113627', 'tt0102975', 'tt0090555', 'tt1893256', 'tt0108399', 'tt1448755', 'tt3062096', 'tt0125664', 'tt0070608', 'tt0057115', 'tt0120660', 'tt0145487', 'tt1058017', 'tt0356150', 'tt0043456', 'tt0256380', 'tt0089530', 'tt0119528', 'tt0120663', 'tt0025316', 'tt0082010', 'tt2404435', 'tt0093428', 'tt0112508', 'tt0171363', 'tt0398712', 'tt0118615', 'tt0112818', 'tt0119488', 'tt1964418', 'tt0338564', 'tt0309593', 'tt0332452', 'tt0116683', 'tt0112579', 'tt0071230', 'tt1656190', 'tt0099371', 'tt0228786', 'tt0118928', 'tt0080453', 'tt0263488', 'tt0139654', 'tt0368933', 'tt0133240', 'tt0050212', 'tt0085794', 'tt0110932', 'tt1024648', 'tt2261287', 'tt0315327', 'tt0120363', 'tt0120667', 'tt5013056', 'tt0101507', 'tt0101700', 'tt0246460', 'tt0240890', 'tt0241303', 'tt0251160', 'tt0257106', 'tt0278504', 'tt0250494', 'tt0236493', 'tt0264464', 'tt0265086', 'tt0256009', 'tt0401792', 'tt1155076', 'tt0087538', 'tt0898367', 'tt0133751', 'tt0448134', 'tt0465494', 'tt0042876', 'tt0091474', 'tt0118971', 'tt0325980', 'tt0375063', 'tt1320261', 'tt0362270', 'tt0099938', 'tt0302640', 'tt0408839', 'tt0109707', 'tt0032138', 'tt0159365', 'tt0195685', 'tt0043274', 'tt0101889', 'tt0241527', 'tt0390384', 'tt0096446', 'tt0848228', 'tt0317248', 'tt0145660', 'tt0280707', 'tt1099212', 'tt0120586', 'tt0082971', 'tt0099052', 'tt0096874', 'tt0230011', 'tt0080487', 'tt0113568', 'tt0091203', 'tt1174732', 'tt0099088', 'tt0310793', 'tt0300051', 'tt0395169', 'tt1179056', 'tt0450345', 'tt0379217', 'tt2294629', 'tt1714206', 'tt0088763', 'tt0404390', 'tt0253556', 'tt0128853', 'tt0079945', 'tt0286499', 'tt0304141', 'tt0765010', 'tt0117913', 'tt0344510', 'tt0205000', 'tt0112401', 'tt0107362', 'tt0119229', 'tt0098536', 'tt0098635', 'tt0462499', 'tt0138704', 'tt1375666', 'tt0970416', 'tt0300556', 'tt0418819', 'tt0120912', 'tt0071807', 'tt0106697', 'tt0267626', 'tt0082406', 'tt0102057', 'tt0265208', 'tt0159273', 'tt0227538', 'tt0369702', 'tt0120148', 'tt0167260', 'tt0036613', 'tt0118688', 'tt0300471', 'tt0116209', 'tt0314353', 'tt0107977', 'tt0116778', 'tt0113855', 'tt0119396', 'tt0120828', 'tt0152930', 'tt0183505', 'tt0097814', 'tt0217869', 'tt0097815', 'tt0234215', 'tt0097937', 'tt0097958', 'tt0098439', 'tt0332280', 'tt0098084', 'tt1212450', 'tt1280558', 'tt0099348', 'tt1528071', 'tt0099423', 'tt1956620', 'tt0099674', 'tt0099685', 'tt0102510', 'tt0959337', 'tt0268126', 'tt0103064', 'tt0103074', 'tt0103644', 'tt0104815', 'tt0105665', 'tt0100802', 'tt0101393', 'tt0099653', 'tt0099810', 'tt0106856', 'tt0104691', 'tt0099871', 'tt0084602', 'tt0104694', 'tt0106677', 'tt0310775', 'tt0099785', 'tt0100935', 'tt0100403', 'tt0099700', 'tt0099365', 'tt0101921', 'tt0099422', 'tt0100157', 'tt0105236', 'tt0104952', 'tt0100814', 'tt0100405', 'tt0100502', 'tt0104652', 'tt0082096', 'tt0332379', 'tt0109686', 'tt0110148', 'tt0110413', 'tt0110475', 'tt0111161', 'tt0111495', 'tt0112864', 'tt0113247', 'tt0105698', 'tt0111282', 'tt0104348', 'tt0112281', 'tt0105323', 'tt0103772', 'tt0104714', 'tt0107290', 'tt0109813', 'tt0364970', 'tt0107144', 'tt0106489', 'tt0113540', 'tt0108037', 'tt0103919', 'tt0106965', 'tt0110912', 'tt0112642', 'tt0105417', 'tt0111257', 'tt0102059', 'tt0107688', 'tt0107206', 'tt0103776', 'tt0101862', 'tt0382625', 'tt0382932', 'tt0105812', 'tt0108160', 'tt0106918', 'tt0104231', 'tt0101540', 'tt0102266', 'tt0107211', 'tt0110074', 'tt0106220', 'tt0106582', 'tt0105793', 'tt0107207', 'tt0404030', 'tt0102685', 'tt0103241', 'tt0114746', 'tt0115433', 'tt0116136', 'tt0116282', 'tt0258000', 'tt0245712', 'tt0261392', 'tt0256415', 'tt0266697', 'tt0257360', 'tt0252866', 'tt0265459', 'tt0430105', 'tt0117008', 'tt0118583', 'tt0118689', 'tt0115759', 'tt0117802', 'tt0113071', 'tt0118884', 'tt0114694', 'tt0112384', 'tt0116040', 'tt0116705', 'tt0118749', 'tt0107822', 'tt0109445', 'tt1904996', 'tt0455538', 'tt0117705', 'tt0108358', 'tt0114069', 'tt0114814', 'tt0117571', 'tt0112431', 'tt0117509', 'tt0118799', 'tt0116908', 'tt0116922', 'tt0114898', 'tt0114558', 'tt0114388', 'tt0118887', 'tt0117666', 'tt0113481', 'tt0243017', 'tt0480025', 'tt0119395', 'tt0480249', 'tt0116629', 'tt0112697', 'tt0108550', 'tt0112573', 'tt0109831', 'tt0113161', 'tt0112462', 'tt0113497', 'tt0110478', 'tt0113118', 'tt0113101', 'tt0114148', 'tt0111070', 'tt0111301', 'tt0112442', 'tt0113189', 'tt0800069', 'tt0118880', 'tt0120694', 'tt0120735', 'tt0120737', 'tt0119654', 'tt0119282', 'tt0120102', 'tt0120382', 'tt0120179', 'tt0120631', 'tt0119094', 'tt0119190', 'tt0120184', 'tt0119177', 'tt0120347', 'tt0118929', 'tt0887912', 'tt0119173', 'tt0119698', 'tt0119137', 'tt0119303', 'tt0119051', 'tt0120685', 'tt0120591', 'tt0119643', 'tt0120647', 'tt0120201', 'tt0120744', 'tt0120679', 'tt0113957', 'tt0338526', 'tt1013753', 'tt1017460', 'tt0118998', 'tt0114436', 'tt0120657', 'tt0116213', 'tt0119738', 'tt0116583', 'tt0114924', 'tt0116695', 'tt0116996', 'tt0114508', 'tt0117218', 'tt0113749', 'tt0115685', 'tt0118617', 'tt0118607', 'tt2053425', 'tt1121931', 'tt0116483', 'tt0120902', 'tt0120907', 'tt0120915', 'tt0165929', 'tt0121765', 'tt0121766', 'tt0129167', 'tt0129387', 'tt0120762', 'tt0120888', 'tt0132347', 'tt0134119', 'tt0120755', 'tt0138097', 'tt0120780', 'tt0134084', 'tt1216487', 'tt0128442', 'tt0127536', 'tt0137363', 'tt0120789', 'tt0120783', 'tt0137523', 'tt0120770', 'tt0120913', 'tt0122690', 'tt0120815', 'tt0122933', 'tt0120855', 'tt0120794', 'tt0120889', 'tt0120903', 'tt0134847', 'tt1302011', 'tt1343727', 'tt0119081', 'tt0119099', 'tt0162222', 'tt0128445', 'tt0120873', 'tt0124298', 'tt0120053', 'tt0120791', 'tt0120832', 'tt0131857', 'tt0120669', 'tt0119468', 'tt0120686', 'tt0120338', 'tt1431045', 'tt1433811', 'tt0120461', 'tt0120784', 'tt0119925', 'tt1532503', 'tt0119217', 'tt0120655', 'tt0120738', 'tt0146316', 'tt0166924', 'tt0167261', 'tt0169102', 'tt0172493', 'tt0143145', 'tt0150377', 'tt1104001', 'tt1568338', 'tt0168629', 'tt0151738', 'tt0154420', 'tt0162346', 'tt0155267', 'tt0164184', 'tt0139809', 'tt0166896', 'tt0163651', 'tt0139239', 'tt0142688', 'tt0164334', 'tt0163988', 'tt0172156', 'tt0163978', 'tt0145531', 'tt1723811', 'tt1666801', 'tt0164912', 'tt0146675', 'tt0172495', 'tt0147612', 'tt0151804', 'tt0164052', 'tt0167190', 'tt0163187', 'tt0146882', 'tt0146336', 'tt0149261', 'tt0134273', 'tt0139134', 'tt1862079', 'tt0144117', 'tt0120863', 'tt0131325', 'tt0120917', 'tt0138749', 'tt0162661', 'tt0163025', 'tt0233469', 'tt0160862', 'tt0187078', 'tt0187738', 'tt0190590', 'tt0198781', 'tt0200465', 'tt0206634', 'tt2120120', 'tt0211915', 'tt0211933', 'tt0213847', 'tt0242423', 'tt0245674', 'tt0247638', 'tt0181536', 'tt0219699', 'tt0183790', 'tt0180093', 'tt0209475', 'tt0187393', 'tt0212720', 'tt0209163', 'tt1213644', 'tt2404463', 'tt0209144', 'tt0217505', 'tt0203019', 'tt0183523', 'tt0196229', 'tt0230030', 'tt0177789', 'tt0212338', 'tt0181865', 'tt0178868', 'tt0190865', 'tt0204946', 'tt0190138', 'tt0206314', 'tt0183649', 'tt3183660', 'tt0200550', 'tt0185183', 'tt0207201', 'tt0184894', 'tt0191397', 'tt0186566', 'tt0177971', 'tt0181852', 'tt0077975', 'tt0213149', 'tt0212346', 'tt0221027', 'tt0175142', 'tt0181689', 'tt0251736', 'tt4776998', 'tt0258153', 'tt0259324', 'tt0272152', 'tt0275847', 'tt0283111', 'tt0289043', 'tt0289879', 'tt0290334', 'tt0293564', 'tt0295701', 'tt0301357', 'tt0230838', 'tt0240772', 'tt0251127', 'tt0232500', 'tt0264395', 'tt0052618', 'tt0288477', 'tt0253474', 'tt0248667', 'tt0267804', 'tt0340163', 'tt0245844', 'tt0251075', 'tt0253754', 'tt0250687', 'tt0244244', 'tt0230600', 'tt0243736', 'tt0312004', 'tt0069704', 'tt0317219', 'tt0325703', 'tt0327084', 'tt0327597', 'tt0329774', 'tt0330373', 'tt0266915', 'tt0289765', 'tt0298814', 'tt0276919', 'tt0319262', 'tt0280590', 'tt0268380', 'tt0285823', 'tt0322330', 'tt0083944', 'tt0084827', 'tt0293662', 'tt0290673', 'tt0287978', 'tt0277296', 'tt0298130', 'tt0315733', 'tt0304415', 'tt0286788', 'tt0290095', 'tt0318462', 'tt0277027', 'tt4334266', 'tt0267913', 'tt0090605', 'tt0296572', 'tt0097165', 'tt0268978', 'tt0311289', 'tt0266987', 'tt0274166', 'tt0317705', 'tt0290002', 'tt0271027', 'tt0292490', 'tt0285742', 'tt0287467', 'tt0274558', 'tt0298148', 'tt0313737', 'tt0361862', 'tt0115963', 'tt0096438', 'tt0097428', 'tt1608290', 'tt1979388', 'tt1980209', 'tt2179116', 'tt2234155', 'tt0276751', 'tt0333780', 'tt0338348', 'tt0339291', 'tt0343737', 'tt0345950', 'tt0347149', 'tt0347304', 'tt0348150', 'tt0383216', 'tt0154506', 'tt0348333', 'tt0076786', 'tt0352248', 'tt0362478', 'tt0355295', 'tt0356634', 'tt0358273', 'tt0359950', 'tt0361748', 'tt0325710', 'tt0328828', 'tt0313542', 'tt0327850', 'tt0322259', 'tt0307479', 'tt0349903', 'tt0320661', 'tt1411250', 'tt0317648', 'tt0305224', 'tt0110322', 'tt0307453', 'tt0305711', 'tt0311113', 'tt0328538', 'tt0120768', 'tt0094332', 'tt0816462', 'tt0119567', 'tt2039393', 'tt0800320', 'tt0314331', 'tt0327554', 'tt0333766', 'tt0315983', 'tt0098258', 'tt0117998', 'tt0316654', 'tt0309698', 'tt0349683', 'tt0328832', 'tt0327679', 'tt0322802', 'tt0309987', 'tt0328107', 'tt0319343', 'tt0317740', 'tt0327056', 'tt0320691', 'tt0316396', 'tt0363771', 'tt0097778', 'tt0103855', 'tt0365686', 'tt0065421', 'tt0080339', 'tt1758830', 'tt2262227', 'tt0770703', 'tt2381249', 'tt1859650', 'tt1524930', 'tt1278340', 'tt0978762', 'tt0424095', 'tt0086200', 'tt0106611', 'tt1093908', 'tt1397514', 'tt0454945', 'tt0102926', 'tt1646971', 'tt0825232', 'tt0066026', 'tt3469046', 'tt5140878', 'tt1648190', 'tt3371366', 'tt1959563', 'tt1458169', 'tt4633690', 'tt5439796', 'tt6556890', 'tt0098554', 'tt0099077', 'tt4565520', 'tt2331047', 'tt5719700', 'tt5116504', 'tt4721404', 'tt0478970', 'tt2057392', 'tt0103874', 'tt0101272', 'tt0104257', 'tt0100507', 'tt0099487', 'tt0099582', 'tt0100263', 'tt0103873', 'tt0101410', 'tt0100758', 'tt0101761', 'tt3741834', 'tt0056801', 'tt0102138', 'tt0103639', 'tt0103786', 'tt2080374', 'tt0112740', 'tt0113243', 'tt0101414', 'tt0105112', 'tt0109506', 'tt0112461', 'tt0105695', 'tt0104797', 'tt0107798', 'tt0107048', 'tt0112641', 'tt0111280', 'tt0107120', 'tt0106308', 'tt0102492', 'tt0106519', 'tt0108394', 'tt0110357', 'tt0110989', 'tt0112851', 'tt0112682', 'tt0112817', 'tt0117951', 'tt0117381', 'tt0116367', 'tt0108525', 'tt0110216', 'tt0118694', 'tt0113277', 'tt0110632', 'tt0107808', 'tt0109040', 'tt0117438', 'tt0109444', 'tt0111503', 'tt0108052', 'tt0113492', 'tt0117731', 'tt0114709', 'tt0120689', 'tt0119116', 'tt0120630', 'tt0120082', 'tt0119008', 'tt0120484', 'tt0120587', 'tt0120681', 'tt0114214', 'tt0115751', 'tt0117500', 'tt0117318', 'tt0120177', 'tt0120611', 'tt0118883', 'tt0120623', 'tt0118842', 'tt0119164', 'tt0117333', 'tt0117887', 'tt0389790', 'tt0125659', 'tt0138524', 'tt0120890', 'tt0132477', 'tt0120749', 'tt0120885', 'tt0126886', 'tt0133952', 'tt0120812', 'tt0125439', 'tt0133152', 'tt0137494', 'tt0129290', 'tt0119174', 'tt0120324', 'tt0120616', 'tt0121164', 'tt0126029', 'tt0122151', 'tt0167404', 'tt0144084', 'tt0142342', 'tt0162650', 'tt0146838', 'tt0140352', 'tt0169547', 'tt0141926', 'tt0151137', 'tt0164181', 'tt0161081', 'tt0171804', 'tt0123755', 'tt0159097', 'tt0130827', 'tt0120787', 'tt0122718', 'tt0158983', 'tt0170016', 'tt0175880', 'tt0181316', 'tt0223897', 'tt0216216', 'tt0185014', 'tt0219965', 'tt0185431', 'tt0215750', 'tt0228750', 'tt0215129', 'tt0185125', 'tt0182789', 'tt0208003', 'tt0181875', 'tt0227445', 'tt0209958', 'tt0174856', 'tt0190332', 'tt0203009', 'tt0242653', 'tt0245574', 'tt0212985', 'tt0250797', 'tt0264616', 'tt0235198', 'tt0257076', 'tt0237534', 'tt0245562', 'tt0265349', 'tt0238380', 'tt0259446', 'tt0245429', 'tt0249462', 'tt0246578', 'tt0247745', 'tt0265666', 'tt0264472', 'tt0243155', 'tt0266543', 'tt0285492', 'tt0292963', 'tt0297284', 'tt0317919', 'tt0328880', 'tt0298203', 'tt0277434', 'tt0285531', 'tt0286112', 'tt0286106', 'tt0299977', 'tt0277371', 'tt0289848', 'tt0295297', 'tt0299658', 'tt0295700', 'tt0286716', 'tt0317303', 'tt0292506', 'tt0272020', 'tt0302886', 'tt0268695', 'tt0281358', 'tt0284490', 'tt0272338', 'tt0303816', 'tt0089881', 'tt0337978', 'tt0343818', 'tt0346491', 'tt0351283', 'tt0354899', 'tt0307901', 'tt0307987', 'tt0316356', 'tt0356680', 'tt0306047', 'tt0318627', 'tt0327437', 'tt0329101', 'tt0319061', 'tt0317198', 'tt0329575', 'tt0327162', 'tt0308644', 'tt0325805', 'tt0362120', 'tt0365830', 'tt0366548', 'tt0367594', 'tt0330793', 'tt0358082', 'tt0351977', 'tt0335245', 'tt0335438', 'tt0363547', 'tt0360486', 'tt0343135', 'tt0337921', 'tt0342258', 'tt0340855', 'tt0411061', 'tt0368794', 'tt0370263', 'tt0371746', 'tt0374546', 'tt0374887', 'tt0378109', 'tt2082197', 'tt0379725', 'tt0383028', 'tt0384680', 'tt1037705', 'tt0384793', 'tt0385752', 'tt0375679', 'tt0370986', 'tt0369339', 'tt0372784', 'tt0375912', 'tt0376541', 'tt0374536', 'tt0374900', 'tt0377109', 'tt0377471', 'tt0387131', 'tt0387877', 'tt0388795', 'tt0401445', 'tt0396269', 'tt0397101', 'tt0397535', 'tt0399146', 'tt0401711', 'tt0402022', 'tt0404203', 'tt0393162', 'tt0387564', 'tt0398017', 'tt0397065', 'tt0381681', 'tt0382628', 'tt0405296', 'tt0406816', 'tt0407304', 'tt0408790', 'tt0410297', 'tt0412019', 'tt0414055', 'tt0414852', 'tt0414993', 'tt0416315', 'tt0416508', 'tt0417741', 'tt0419887', 'tt0421054', 'tt0422720', 'tt0424136', 'tt0421082', 'tt0408236', 'tt0425210', 'tt0426931', 'tt0427309', 'tt0430357', 'tt0431197', 'tt0431308', 'tt0433035', 'tt0433383', 'tt0435651', 'tt0435761', 'tt0439815', 'tt0443272', 'tt0443489', 'tt0443649', 'tt0443706', 'tt0445934', 'tt0448694', 'tt0449059', 'tt0449467', 'tt0083907', 'tt0450278', 'tt0451279', 'tt0452625', 'tt0452694', 'tt0454848', 'tt1038988', 'tt0455967', 'tt0457430', 'tt0458352', 'tt0458525', 'tt0462200', 'tt0462504', 'tt0463854', 'tt0463998', 'tt0465538', 'tt0465602', 'tt0466342', 'tt0467406', 'tt0469641', 'tt0472062', 'tt0472181', 'tt0442933', 'tt3640424', 'tt0476964', 'tt0477071', 'tt0477051', 'tt0478134', 'tt0478311', 'tt0479884', 'tt0480687', 'tt0482571', 'tt0485947', 'tt0486551', 'tt0486946', 'tt0489237', 'tt0490215', 'tt0493430', 'tt0494238', 'tt0498353', 'tt0498399', 'tt0499549', 'tt0758758', 'tt0762107', 'tt0770828', 'tt0780536', 'tt0080761', 'tt0790628', 'tt0790686', 'tt0795368', 'tt0795461', 'tt0800308', 'tt0804461', 'tt0808151', 'tt1172049', 'tt0810819', 'tt0814314', 'tt0816442', 'tt0817177', 'tt0817538', 'tt0822854', 'tt0829482', 'tt0837562', 'tt0838283', 'tt0841046', 'tt0848537', 'tt0861689', 'tt0862846', 'tt0866439', 'tt0758746', 'tt0092890', 'tt0884328', 'tt0814022', 'tt0889573', 'tt0978764', 'tt0901476', 'tt0903624', 'tt0910936', 'tt0918927', 'tt0938283', 'tt0947798', 'tt0949731', 'tt0960731', 'tt0964517', 'tt0970452', 'tt0975645', 'tt0985694', 'tt0985699', 'tt0988047', 'tt0993842', 'tt0995039', 'tt1424381', 'tt1001526', 'tt1007029', 'tt1020072', 'tt1023111', 'tt1028528', 'tt1033575', 'tt1034314', 'tt1045658', 'tt1045778', 'tt1051904', 'tt1055369', 'tt1060277', 'tt1068680', 'tt1077258', 'tt1080016', 'tt1086772', 'tt1091722', 'tt1093357', 'tt1100089', 'tt1111422', 'tt1077368', 'tt1117385', 'tt1124035', 'tt1129442', 'tt1131734', 'tt1132626', 'tt1135503', 'tt1142977', 'tt1144884', 'tt1155056', 'tt1170358', 'tt1182345', 'tt1186830', 'tt1189073', 'tt1192628', 'tt1194173', 'tt1201167', 'tt1204342', 'tt1205537', 'tt1210166', 'tt1212419', 'tt0094737', 'tt1217613', 'tt1220198', 'tt1289401', 'tt1228705', 'tt1229340', 'tt1231587', 'tt1232776', 'tt1235166', 'tt1242422', 'tt1245112', 'tt1245492', 'tt1253864', 'tt1258197', 'tt1262416', 'tt1270262', 'tt1279935', 'tt1284575', 'tt1289406', 'tt1294226', 'tt1297919', 'tt1300851', 'tt1306980', 'tt1314655', 'tt1323045', 'tt1229822', 'tt1321511', 'tt1322269', 'tt1327194', 'tt1336608', 'tt1341167', 'tt1352824', 'tt1355644', 'tt1355683', 'tt1374992', 'tt1386697', 'tt1392190', 'tt1397280', 'tt1401152', 'tt1411238', 'tt1412386', 'tt1430132', 'tt0110005', 'tt1440728', 'tt1441395', 'tt1446192', 'tt1453405', 'tt1457767', 'tt1462758', 'tt1477076', 'tt1478964', 'tt1486192', 'tt1489889', 'tt1491044', 'tt1506999', 'tt1611224', 'tt1524137', 'tt1536044', 'tt1542344', 'tt1563738', 'tt1564367', 'tt1568911', 'tt1571222', 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'tt1735898', 'tt1748122', 'tt1763303', 'tt1972571', 'tt1764651', 'tt1772341', 'tt1790809', 'tt1790886', 'tt1791528', 'tt1798709', 'tt1800246', 'tt1815862', 'tt1817273', 'tt1821694', 'tt1823672', 'tt1832382', 'tt1839492', 'tt1840417', 'tt1843866', 'tt1853739', 'tt1855199', 'tt1855325', 'tt1872181', 'tt1877832', 'tt1878870', 'tt1899353', 'tt1907668', 'tt1911644', 'tt1911658', 'tt1692486', 'tt1742334', 'tt1748179', 'tt1912398', 'tt1915581', 'tt1921064', 'tt1924396', 'tt1924429', 'tt1924435', 'tt1935859', 'tt1937390', 'tt1951264', 'tt1951266', 'tt1954470', 'tt1972591', 'tt1980929', 'tt1981115', 'tt1981677', 'tt1985966', 'tt1990314', 'tt1991245', 'tt2013293', 'tt2015381', 'tt2017038', 'tt2024469', 'tt2024544', 'tt2042568', 'tt2084970', 'tt2094766', 'tt2096673', 'tt2101441', 'tt2103281', 'tt2106361', 'tt2109184', 'tt2109248', 'tt2125435', 'tt2126355', 'tt2132285', 'tt2140379', 'tt2140619', 'tt2170439', 'tt2172934', 'tt2177771', 'tt2184339', 'tt1939659', 'tt2191701', 'tt2193215', 'tt2194499', 'tt2199571', 'tt2205697', 'tt2224026', 'tt2226417', 'tt2241351', 'tt2245084', 'tt2250912', 'tt2267968', 'tt2277860', 'tt2278388', 'tt2278871', 'tt2294449', 'tt2302755', 'tt2310332', 'tt2312718', 'tt2316411', 'tt2321549', 'tt2322441', 'tt2333784', 'tt2334873', 'tt2334879', 'tt2338151', 'tt2358891', 'tt2359024', 'tt2364841', 'tt2369135', 'tt2370248', 'tt2377322', 'tt2381991', 'tt2387433', 'tt2387559', 'tt2390361', 'tt2395427', 'tt2397535', 'tt2404233', 'tt2404311', 'tt2436386', 'tt2446042', 'tt2488496', 'tt2510894', 'tt2543164', 'tt2545118', 'tt2557490', 'tt2561572', 'tt2562232', 'tt3470600', 'tt0071562', 'tt2381941', 'tt2345759', 'tt2209764', 'tt2582496', 'tt2582802', 'tt2582846', 'tt2592614', 'tt2637276', 'tt2649554', 'tt2660888', 'tt2674426', 'tt2692250', 'tt2709768', 'tt2719848', 'tt2763304', 'tt2788710', 'tt2802144', 'tt2823054', 'tt3235888', 'tt2848292', 'tt2870612', 'tt2872718', 'tt2883512', 'tt2884206', 'tt2910814', 'tt2937898', 'tt2948356', 'tt2975590', 'tt2980516', 'tt2980648', 'tt3007512', 'tt3063516', 'tt3065204', 'tt3072482', 'tt3110958', 'tt3168230', 'tt3170832', 'tt3203606', 'tt3263904', 'tt3312830', 'tt3315342', 'tt3316948', 'tt3322364', 'tt3322940', 'tt3385516', 'tt3397884', 'tt3410834', 'tt3450958', 'tt2713180', 'tt3040964', 'tt3464902', 'tt3488710', 'tt3498820', 'tt3522806', 'tt3531824', 'tt0034583', 'tt3569230', 'tt3605418', 'tt3622592', 'tt3659388', 'tt3682448', 'tt3691740', 'tt3713166', 'tt3731562', 'tt3774114', 'tt3783958', 'tt3850214', 'tt3863552', 'tt3882082', 'tt3890160', 'tt3949660', 'tt4034228', 'tt4034354', 'tt4052882', 'tt4094724', 'tt4116284', 'tt4172430', 'tt4263482', 'tt4276820', 'tt4302938', 'tt4438848', 'tt4465564', 'tt4550098', 'tt4651520', 'tt4698684', 'tt4786282', 'tt4846340', 'tt4972582', 'tt5052448', 'tt5074352', 'tt5988370', 'tt0013442', 'tt0029583', 'tt0036775', 'tt0040522', 'tt0044079', 'tt0048545', 'tt0053198', 'tt0053285', 'tt0057012', 'tt0057076', 'tt0080455', 'tt0064757', 'tt0065214', 'tt0046250', 'tt0033467', 'tt0032904', 'tt0033870', 'tt0044706', 'tt0012349', 'tt0049406', 'tt0042192', 'tt0040746', 'tt0024216', 'tt0064116', 'tt0064115', 'tt0032910', 'tt0032976', 'tt0061512', 'tt0048728', 'tt0047296', 'tt0050825', 'tt0050976', 'tt0045152', 'tt0072431', 'tt0031679', 'tt0050083', 'tt0035423', 'tt0038650', 'tt0041959', 'tt0038355', 'tt0047478', 'tt0047396', 'tt5442430', 'tt0022100', 'tt0067992', 'tt0042332', 'tt0046912', 'tt0038787', 'tt0017925', 'tt0070034', 'tt0076759', 'tt0078346', 'tt0078748', 'tt0079470', 'tt0080684', 'tt0074958', 'tt0080749', 'tt0054215', 'tt0070735', 'tt0067185', 'tt0079817', 'tt0056592', 'tt0051201', 'tt0081505', 'tt0054331', 'tt0055630', 'tt0061852', 'tt0052357', 'tt0055614', 'tt0074119', 'tt0062512', 'tt0055031', 'tt0058461', 'tt0055928', 'tt0056869', 'tt0066999', 'tt0082495', 'tt0075005', 'tt0058331', 'tt0061184', 'tt0063442', 'tt0071315', 'tt0077928', 'tt0082198', 'tt0050986', 'tt0075314', 'tt0054698', 'tt0063522', 'tt0061578', 'tt0075148', 'tt0057546', 'tt0052311', 'tt0060827', 'tt0071853', 'tt0085333', 'tt0085959', 'tt0086006', 'tt0086190', 'tt0086567', 'tt0335266', 'tt0087544', 'tt0087928', 'tt0088161', 'tt0088939', 'tt0090264', 'tt0087363', 'tt0083658', 'tt0087182', 'tt0097576', 'tt0074486', 'tt0071360', 'tt0077416', 'tt0079417', 'tt0069293', 'tt0070917', 'tt0069762', 'tt0075029', 'tt0085334', 'tt0453467', 'tt0088323', 'tt0079501', 'tt0088847', 'tt0107818', 'tt0077402', 'tt0089218', 'tt0068646', 'tt0076752', 'tt0082340', 'tt0087078', 'tt0073195', 'tt0086066', 'tt0073486', 'tt0073629', 'tt0074285', 'tt0072684', 'tt0086250', 'tt0079944', 'tt0070047', 'tt0078788', 'tt0079522', 'tt0081398', 'tt0090756', 'tt0091064', 'tt0092563', 'tt0092991', 'tt0093105', 'tt0093748', 'tt0093773', 'tt0095705', 'tt0095956', 'tt0093870', 'tt0091605', 'tt0092644', 'tt0084516', 'tt0091369', 'tt0096061', 'tt0089927', 'tt0093779', 'tt0094012', 'tt0084726', 'tt0087800', 'tt0093177', 'tt0092965', 'tt0088846', 'tt0093191', 'tt0093389', 'tt0088993', 'tt0091419', 'tt0088930', 'tt0091326', 'tt0096754', 'tt0088944', 'tt0083929', 'tt0084805', 'tt0091167', 'tt0094625', 'tt0086960', 'tt0088247', 'tt0083987', 'tt0086465', 'tt0087803', 'tt0097742', 'tt0093894', 'tt0086879', 'tt0088011', 'tt0094226', 'tt1667889', 'tt1860213', 'tt0104431', 'tt0338013', 'tt0116365', 'tt0364045', 'tt0120891', 'tt0118715', 'tt0044081', 'tt0090859', 'tt0097239', 'tt0120601', 'tt0369441', 'tt0095327', 'tt0095647', 'tt0372588', 'tt0094721', 'tt0120746', 'tt0096256', 'tt0398165', 'tt0096734', 'tt0090863', 'tt0095489', 'tt0092067', 'tt0092675', 'tt0092099', 'tt0295178', 'tt0095016', 'tt0094898', 'tt0096320', 'tt0095031', 'tt0105690', 'tt0056923', 'tt0324216', 'tt0385267', 'tt0120693', 'tt0186151', 'tt0085995', 'tt1798684', 'tt0096928', 'tt0097351', 'tt2180411', 'tt0284837', 'tt1014759', 'tt3567288', 'tt0112870', 'tt0115798', 'tt0270288', 'tt1078588', 'tt0053604', 'tt0145681', 'tt0445990', 'tt0119345', 'tt0076666', 'tt0457400', 'tt0087332', 'tt0117060', 'tt0053125', 'tt0101452', 'tt0210945', 'tt0349205', 'tt0093629', 'tt0420223', 'tt0118571', 'tt0368008', 'tt0104070', 'tt0427327', 'tt0102798', 'tt0252076', 'tt0120632', 'tt0082694', 'tt0124315', 'tt0092007', 'tt1667353', 'tt1509767', 'tt0111255', 'tt0173840', 'tt0087469', 'tt0080678', 'tt0119822', 'tt0118655', 'tt0110622', 'tt0335345', 'tt0066921', 'tt0106977', 'tt0311429', 'tt0479997', 'tt0293508', 'tt0147800', 'tt0094947', 'tt0107614', 'tt0116225', 'tt1403865', 'tt0208092', 'tt0468569', 'tt5813916', 'tt0027977', 'tt0021749', 'tt1650554', 'tt0109830']
# sortByRating(temp)
def ctrl(intent, state, cache_results, titles_user, scoreweights, history,
qLib):
print intent
print state
prev_qtup = history[-1]
output = ''
qtup = None
if prev_qtup[1] == "mpaa":
temp = ''
for k, v in cache_results.iteritems():
temp += k.title() + " : "
if v:
temp += ','.join(v).title() + " | \n "
else:
temp += 'No Preference' + " | \n "
# qtup = ("Here is the information I have gathered in this conversation. " + temp, 'tell')
# mscores, mmap = candidates.find(cache_results[userid])
mscores, mmap = candidates.find(titles_user, cache_results)
movieWithScore = sorted(zip(mmap, np.dot(mscores, scoreweights)),
key=lambda tup: tup[1],
reverse=True)
#not sure why this occasionally excepts keyerror from movieWith Score
try:
data = movieCtrl.moviebyID(movieWithScore[0][0])
#process directors and actors into readable for output
dlist = data[10].split(' ')
alist = data[13].split(' ')
actorNameList = movieCtrl.actorsbyID(alist)
directorNameList = movieCtrl.directorsbyID(dlist)
output += "How about " + data[1] + " (" + data[
3] + ")? " + data[1] + " stars " + ", ".join(actorNameList[:3]) + "and is directed by " + \
directorNameList[0] + ". This film is " + data[8] + " minutes is a " + \
data[4].replace(' ', ', ') + " and rated " + data[
6] + " film."
except Exception as e:
print e
# output += "How about " + data[1] + " (" + data[
# 3] + ")? " + data[1] + " stars " + ", ".join(actorNameList[:3]) + "and is directed by " + \
# directorNameList[0] + ". This film is " + data[8] + " minutes is a " + \
# data[4].replace(' ', ', ') + " and rated " + data[
# 6] + " film."
qtup = random.choice(filter(lambda x: x[1] == 't0', qLib[state[-1]]))
elif prev_qtup[1] == "t0":
if intent['intent'] == "No":
state.append("genre")
qtup = random.choice(
filter(lambda x: x[1] == 'genre', qLib[state[-1]]))
elif intent['intent'] == "Yes":
output += "Ok, Bye!"
qtup = ("", "")
print prev_qtup
return output, qtup, state
def dialogueCtrl(input_json):
"""
dialogueCtrl takes in data (User input), sends to dailogue logic, gets response, and returns response back to socket
"""
scoreweights = np.array([.1, .1, .5, .2, .1])
# Dont worry input_json can never be set to "debug" unless done in code...
if input_json is not "debug":
global state, history, data, cache_results, curr_movie
js = json.loads(input_json)
userid = js['id']
text = js['text']
output = ''
qtup = None
if userid not in state:
state[userid] = [
"genre",
]
qtup = random.choice(
filter(lambda x: x[1] == 'genre', qLib[state[userid][-1]]))
history[userid] = []
#data[userid] = []
cache_results[userid] = {
'genre': None,
'person': None,
'mpaa': None,
'rating': None,
'year': None,
'duration': None
}
curr_movie[userid] = None
history[userid].append(qtup)
return qtup[0], userid
query, intent, entity = luisQuery.ctrl(text)
cache_results[userid], answered = luisIntent.ctrl(
state[userid][-1], intent, entity, cache_results[userid])
if not answered:
#if do not understand utterance because intent is incorrect, try to find with entities
#entityDetect.detect(state[userid][-1], entity)
output = "I do not understand your answer. "
qtup = history[userid][-1]
else:
#will change state machine to class object
#titles_user[userid] = filterMovies.ctrl(state[userid][-1], cache_results[userid], titles_user[userid])
if not q_order.index(state[userid][-1]) == len(q_order) - 1:
newState = q_order[q_order.index(state[userid][-1]) + 1]
else:
newState = state[userid][-1]
#newState = q_order[state[userid][-1] + 1]
state[userid].append(newState)
if newState is "tell":
output, qtup, state[userid] = tellCtrl.ctrl(
intent, state[userid], cache_results[userid],
titles_user[userid], scoreweights, history[userid], qLib)
if state[userid][-1] == "genre":
titles_user[userid] = titles
# This is temporary for debugging ###########################
# temp = ''
# for k, v in cache_results[userid].iteritems():
# temp += k.title() + " : "
# if v:
# temp += ','.join(v).title() + " | \n "
# else:
# temp += 'No Preference' + " | \n "
# # qtup = ("Here is the information I have gathered in this conversation. " + temp, 'tell')
# #mscores, mmap = candidates.find(cache_results[userid])
# mscores, mmap = candidates.find(titles_user[userid], cache_results[userid])
# movieWithScore = sorted(zip(mmap, np.dot(mscores, scoreweights)), key=lambda tup: tup[1],
# reverse=True)
# data = movieCtrl.moviebyID(movieWithScore[0][0])
# output += ("From our conversation, I can recommend the following film. " + data[1] + " (" + data[
# 3] + ") is " + data[8] + " minutes and is a " + \
# data[4].replace(' ', ', ') + " film. Produced by " + data[
# 7] + ", this film's rating is " + data[
# 6] + ". ", "tell")
################################################################
# #Ask next question
# elif newState is "satisfied":
# print intent
# state[userid].append("genre")
else:
qtup = random.choice(
filter(lambda x: x[1] == str(newState), qLib[newState]))
#print titles_user
print '###################'
print cache_results[userid]
print '###################'
# Append history
history[userid].append((text, state[userid][-1]))
history[userid].append(qtup)
output += qtup[0]
return output, userid
else:
user_data = {
'rating': None,
'mpaa': [u'PG-13', u'R'],
'duration': None,
'person': [u'Tom Hanks'],
'year': None,
'genre': [u'comedy', u'action', u'adventure']
}
mscores, mmap = candidates.find(user_data)
scoretotal = []
# for mscore in mscores:
# print mscore
movieWithScore = sorted(zip(mmap, np.dot(mscores, scoreweights)),
key=lambda tup: tup[1],
reverse=True)
data = movieCtrl.moviebyID(movieWithScore[0][0])
output = ''
output += "From our conversation, I can recommend the following film. " + data[1] + " (" + data[3] + ") is " + data[8] + " minutes and is a " + \
data[4].replace(' ', ', ') + " film. Produced by " + data[7] + ", this film's rating is " + data[
6] + ". "
#print movieWithScore[0]
print output
def genreStrat(input, strategies, cache_results, curr_movie, qLib, model, resource, database, history, tfidfmodel, tfidfdict):
"""
:param userid: userid generated from chatbox.php
:param input: user text input
:param strategies: what strategy the application is on (what task is being accomplished)
:param cache_results: results of previous database query used for follow up requests
:param qLib: question library
:param model: word to vec (not used for now)
:param resource: language resource
:param database: (not used for now)
:param history: user and AI response history used to know what the previous question was
:param tfidfmodel: tf-idf model
:param tfidfdict: tf-idf dict
:return: text output, next question, strategies (updated), cache results (updated)
"""
output = ''
qtup = None
prev_qtup = history[-1]
if prev_qtup[1] == "g0" or prev_qtup[1] == "g1":
meta_info = control.ScoreInput(model, database, resource, input, history, tfidfmodel, tfidfdict)
cache_results = genre(meta_info), meta_info
if not cache_results[0]:
output += "I could not find anything from the genre you specified. "
qtup = random.choice(filter(lambda x: x[1] == 'g0', qLib[strategies[-1]]))
output += qtup[0]
return output, qtup, strategies, cache_results, None
curr_movie = random.choice(cache_results[0])
output += "I found " + curr_movie[1] + " from the genre you specified. "
qtup = random.choice(filter(lambda x: x[1] == 'g2', qLib[strategies[-1]]))
output += qtup[0]
elif prev_qtup[1] == "g2":
if responseCtrl.responseBinSim(input):
output += "Great! "
qtup = random.choice(filter(lambda x: x[1] == 'g6', qLib[strategies[-1]]))
output += qtup[0]
#movieCtrl.storeMovieRec(curr_movie)
else:
output += "That is too bad. "
qtup = random.choice(filter(lambda x: x[1] == 'g3', qLib[strategies[-1]]))
output += qtup[0]
elif prev_qtup[1] == "g3":
if responseCtrl.responseBinSim(input):
cache_results[0].pop(0)
curr_movie = random.choice(cache_results[0])
output += "Cool! I found " + curr_movie[1] + " from the genre you specified. "
qtup = random.choice(filter(lambda x: x[1] == 'g2', qLib[strategies[-1]]))
output += qtup[0]
else:
output += "OK. "
qtup = random.choice(filter(lambda x: x[1] == 'g4', qLib[strategies[-1]]))
output += qtup[0]
elif prev_qtup[1] == "g4":
if responseCtrl.responseBinSim(input):
output += "Genres it is then! "
qtup = random.choice(filter(lambda x: x[1] == 'g1', qLib[strategies[-1]]))
output += qtup[0]
else:
output += "OK. "
qtup = random.choice(filter(lambda x: x[1] == 'g5', qLib[strategies[-1]]))
output += qtup[0]
elif prev_qtup[1] == "g5":
if responseCtrl.responseBinSim(input):
output += "OK. "
strategies.append("continue")
qtup = random.choice(filter(lambda x: x[1] == 'c1', qLib[strategies[-1]]))
output += qtup[0]
else:
qtup = random.choice(filter(lambda x: x[1] == 'g1', qLib[strategies[-1]]))
output += qtup[0]
elif prev_qtup[1] == "g6":
strategies.append("continue")
if responseCtrl.responseBinSim(input):
#print curr_movie
data = movieCtrl.moviebyID(curr_movie[0])
output += data[1] + " (" + data[3] + ") is " + data[8] + " minutes and is a " + \
data[4].replace(' ', ', ') + " film. Produced by " + data[7] + ", this film's rating is " + data[6] + ". "
qtup = random.choice(filter(lambda x: x[1] == 'c1', qLib[strategies[-1]]))
output += qtup[0]
else:
qtup = random.choice(filter(lambda x: x[1] == 'c2', qLib[strategies[-1]]))
output += qtup[0]
return output, qtup, strategies, cache_results, curr_movie