def generate_cv_questions():
global grammer_corrected_pr0ject_question
db = "CV"
db2= "project"
db3 ="project_d"
# node_Count = ConnectionToNeo4j.getNodeCount(db)
lang = 'en'
q_list = []
pro_list = []
count = 1
session = 0
typo = "nonested"
typo2 = "nontechnical"
answer_validity = 0
global question_number
question_number = 0
#generates questions from the three sections
while count<=3:
session = session + 1
print("session")
print(session)
session_no_string = str(session)
session_node_count = ConnectionToNeo4j.session_Node_Count(db,session_no_string)
print("this is ")
print(session_node_count)
node_id = ConnectionToNeo4j.get_node_id(db,session_no_string)
for id in range(node_id,session_node_count+node_id):
q_list.append(str(id))
print(q_list)
print("node_count")
print(session_node_count)
for question_no in range(session_node_count):
print("question number")
print(question_no)
random_que = random.choice(q_list)
print("random que")
print(random_que)
#new pars
non_technical_question = ConnectionToNeo4j.cvQuestionGen(db,random_que)
q_list.remove(random_que)
print(q_list)
print("jokes"+non_technical_question)
question_number = question_number + 1
actual_question = QuestionCreator.gen_Question(non_technical_question,question_number)
AyeshSilenceDetection.silence_detect1(question_number)
# print(actual_question)
# parser = GingerIt()
# grammer_corrected_question_list = parser.parse(actual_question)
# grammer_corrected_question = grammer_corrected_question_list.get("result")
# TextToSpeechConverter.text_to_speech(grammer_corrected_question, lang)
# print(question_number)
# print("hiiiiiiiiiiiiiiiiii printing count")
if random_que == "6":
global technology_list
tech = SpeachToText.validation("", typo2,typo,"question"+str(question_number))[1]
tech = NestedQuestionCreator.keywordSelector("",tech.lstrip(),"1","")
print(tech)
print("tech printed")
technology_list = NestedQuestionCreator.nonTechnicalKeywordSeelector(tech)
print("hello tech")
print(technology_list)
#gets an input to ask questions
if random_que=="5":
# voice_record = AudioRecorder.audio_recorder(question_number)
# answer_validity = SpeachToText.validation("", typo2, typo, "question" + str(question_number))[0]
project_question = ""
random_proj_que = ""
print(vari.userId)
pro = ConnectionToNeo4j.getProjects(vari.userId)
print("pro")
print(pro)
print("pro")
if not pro:
random_proj_que = "final year project"
print(random_proj_que)
else:
random_proj_que = random.choice(pro)
print(random_proj_que)
print(random_proj_que)
project_question = ConnectionToNeo4j.cvQuestionProjectGen(db2, db3, random_proj_que, userid)
question_number = question_number + 1
print("project question")
print(project_question)
print("project question")
print(" pro length")
print(len(pro_list))
print(" pro length")
actual_project_question = QuestionCreator.gen_Question(project_question,question_number)
AyeshSilenceDetection.silence_detect1(question_number)
print("after a while")
q_list = []
count = count+1
def generate_cv_questions():
global grammer_corrected_pr0ject_question
db = "CV"
db2= "project"
db3 ="project_d"
# node_Count = ConnectionToNeo4j.getNodeCount(db)
lang = 'en'
q_list = []
pro_list = []
count = 1
session = 0
typo = "nonested"
typo2 = "nontechnical"
answer_validity = 0
global question_number
question_number = 0
while count<=3:
session = session + 1
print("session")
print(session)
session_no_string = str(session)
session_node_count = ConnectionToNeo4j.session_Node_Count(db,session_no_string)
print("this is ")
print(session_node_count)
node_id = ConnectionToNeo4j.get_node_id(db,session_no_string)
for id in range(node_id,session_node_count+node_id):
q_list.append(str(id))
print(q_list)
print("node_count")
print(session_node_count)
for question_no in range(session_node_count):
print("question number")
print(question_no)
random_que = random.choice(q_list)
print("random que")
print(random_que)
#new pars
non_technical_question = ConnectionToNeo4j.cvQuestionGen(db,random_que)
q_list.remove(random_que)
print(q_list)
print("jokes"+non_technical_question)
question_number = question_number + 1
actual_question = QuestionCreator.gen_Question(non_technical_question,question_number)
# print(actual_question)
# parser = GingerIt()
# grammer_corrected_question_list = parser.parse(actual_question)
# grammer_corrected_question = grammer_corrected_question_list.get("result")
# TextToSpeechConverter.text_to_speech(grammer_corrected_question, lang)
# print(question_number)
# print("hiiiiiiiiiiiiiiiiii printing count")
if random_que=="5":
# voice_record = AudioRecorder.audio_recorder(question_number)
# answer_validity = SpeachToText.validation("", typo2, typo, "question" + str(question_number))[0]
pro = ConnectionToNeo4j.getProjects(db, "5")
# print(pro)
for id in range (1,pro+1):
pro_list.append(str(id))
# print(pro_list)
random_proj_que = random.choice(pro_list)
modify_random_proj_que = "p"+random_proj_que
# print(modify_random_proj_que)
project_question = ConnectionToNeo4j.cvQuestionProjectGen(db2,db3,modify_random_proj_que,userid)
question_number = question_number + 1
actual_project_question = QuestionCreator.gen_Question(project_question,question_number)
# print(actual_project_question)
# parser = GingerIt()
# grammer_corrected_project_question_list = parser.parse(actual_project_question)
# grammer_corrected_pr0ject_question = grammer_corrected_project_question_list.get("result")
# TextToSpeechConverter.text_to_speech(grammer_corrected_pr0ject_question, lang)
# print(question_number)
# print("hiiiiiiiiiiiiiiiiii printing count")
global technology_list
tech = SpeachToText.validation("", typo2,typo,"question"+str(question_number))[1]
tech = NestedQuestionCreator.keywordSelector("",tech.lstrip(),"1","")
# print(tech)
# print("tech printed")
technology_list = NestedQuestionCreator.nonTechnicalKeywordSeelector(tech,modify_random_proj_que)
# print("hello tech")
# print(technology_list)
# print("check validity")
# answer_validity = input()
print("after a while")
# voice_record = AudioRecorder.audio_recorder(question_number)
# answer_validity = SpeachToText.validation("", typo2,typo,"question"+str(question_number))[0]
# while(answer_validity=="None" ):
# answer_validity = SpeachToText.validation("", typo2,typo,"question"+str(question_number))[0]
q_list = []
count = count+1
