1 | import json, nltk, os |
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2 | from flask import Flask, jsonify, request |
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3 | from nltk.stem.lancaster import LancasterStemmer |
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4 | from skf import settings |
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5 | from skf.database import db |
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6 | from skf.database.chatbot_log import chatbot_log |
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7 | from skf.api.security import log, val_num, val_alpha_num, val_alpha_num_special |
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8 | from skf.api.chatbot.scripts import intent_classifier |
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9 | from skf.api.chatbot.scripts import entity_classifier1 |
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10 | from skf.api.chatbot.scripts import entity_classifier2 |
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11 | from skf.api.chatbot.scripts import code_classify |
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12 | |||
13 | |||
14 | app = Flask(__name__) |
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15 | |||
16 | def des_sol(question,intent): |
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17 | entity=entity_classifier1.entity_recognizer(question.lower()) |
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18 | if entity is None: |
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19 | entity=entity_classifier2.entity(question) |
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20 | intent=intent |
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21 | read_file = open(os.path.join(app.root_path, "datasets/desc_sol.json"), 'r') |
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22 | data = json.load(read_file) |
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23 | ite=data['items'] |
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24 | if type(entity)==str: |
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25 | for d in ite: |
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26 | if entity.lower()==d['title'].lower(): |
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27 | if intent=="Description": |
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28 | desc="Description for "+d['title']+" is : "+ d[intent] |
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29 | intent="NULL" |
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30 | return desc |
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31 | break |
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32 | else: |
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33 | sol="Solution for "+d['title']+" is : "+ d[intent] |
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34 | intent="NULL" |
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35 | return sol |
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36 | break |
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37 | else: |
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38 | if len(entity)>0: |
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39 | for i in entity: |
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40 | entity[i]=intent+" "+entity[i] |
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41 | return entity |
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42 | else: |
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43 | log=open(os.path.join(app.root_path,"logs.txt"),"a") |
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44 | msg="Please be more specific" |
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45 | if settings.CHATBOT_LOG == "db": |
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46 | result = chatbot_log(question) |
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47 | db.session.add(result) |
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48 | db.session.commit() |
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49 | else: |
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50 | log=open(os.path.join(app.root_path,"logs.txt"),"a") |
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51 | log.write(question+"\n") |
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52 | log.close() |
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53 | return msg |
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54 | |||
55 | def code(question,intent,language): |
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56 | code_entity=code_classify.entity(question) |
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57 | read_file = open(os.path.join(app.root_path, "datasets/code_data.json"), 'r') |
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58 | code_data = json.load(read_file) |
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59 | code_ite=code_data['items'] |
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60 | code_languages=[] |
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61 | count=0 |
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62 | if len(code_entity)==2 and type(code_entity[0])==str: |
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63 | entity=str(code_entity[0].strip("\n").lower()) |
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64 | if language is None: |
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65 | language=str(code_entity[-1].strip("\n").lower()) |
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66 | else: |
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67 | language=language |
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68 | for d in code_ite: |
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69 | if entity==d['title'].lower(): |
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70 | code_languages.append(d['code_lang']) |
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71 | for d in code_ite: |
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72 | if entity==d['title'].lower() and language in code_languages: |
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73 | if language==d['code_lang'].lower(): |
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74 | code_a="Code for "+ d['content']+"\n Code language is " + d['code_lang'] |
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75 | count=count+1 |
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76 | return code_a |
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77 | if count==0: |
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78 | ent={} |
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79 | for i in range(len(code_languages)): |
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80 | entity=intent+" "+str(code_entity[0].strip("\n").lower())+" in "+code_languages[i] |
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81 | print(entity) |
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82 | ent[i]=entity |
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83 | return ent |
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84 | for d in code_ite: |
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85 | if entity==d['title'].lower() and lang in code_languages: |
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86 | if lang==d['code_lang'].lower(): |
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87 | return d['content'] |
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88 | count=count+1 |
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89 | else: |
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90 | if language is None: |
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91 | language=str(code_entity[-1].strip("\n").lower()) |
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92 | elif language: |
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93 | language=language |
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94 | else: |
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95 | msg="Please be more specific" |
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96 | if settings.CHATBOT_LOG == "db": |
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97 | result = chatbot_log(question) |
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98 | db.session.add(result) |
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99 | db.session.commit() |
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100 | else: |
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101 | log=open(os.path.join(app.root_path,"logs.txt"),"a") |
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102 | log.write(question+"\n") |
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103 | log.close() |
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104 | return msg |
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105 | code_list={} |
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106 | for i in code_entity[0]: |
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107 | code_list[i]=intent+" "+code_entity[0][i] |
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108 | return code_list |
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109 |