DawnC commited on
Commit
62ad1ee
1 Parent(s): 9f376a9

Update breed_recommendation.py

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Files changed (1) hide show
  1. breed_recommendation.py +38 -345
breed_recommendation.py CHANGED
@@ -11,255 +11,6 @@ from recommendation_html_format import format_recommendation_html, get_breed_rec
11
  from search_history import create_history_tab, create_history_component
12
 
13
 
14
- # def create_recommendation_tab(UserPreferences, get_breed_recommendations, format_recommendation_html, history_component):
15
-
16
- # with gr.TabItem("Breed Recommendation"):
17
- # with gr.Tabs():
18
- # with gr.Tab("Find by Criteria"):
19
- # gr.HTML("""
20
- # <div style='
21
- # text-align: center;
22
- # position: relative;
23
- # padding: 20px 0;
24
- # margin: 15px 0;
25
- # background: linear-gradient(to right, rgba(66, 153, 225, 0.1), rgba(72, 187, 120, 0.1));
26
- # border-radius: 10px;
27
- # '>
28
- # <!-- BETA 標籤 -->
29
- # <div style='
30
- # position: absolute;
31
- # top: 10px;
32
- # right: 20px;
33
- # background: linear-gradient(90deg, #4299e1, #48bb78);
34
- # color: white;
35
- # padding: 4px 12px;
36
- # border-radius: 15px;
37
- # font-size: 0.85em;
38
- # font-weight: 600;
39
- # letter-spacing: 1px;
40
- # box-shadow: 0 2px 4px rgba(0,0,0,0.1);
41
- # '>BETA</div>
42
-
43
- # <!-- 主標題 -->
44
- # <p style='
45
- # font-size: 1.2em;
46
- # margin: 0;
47
- # padding: 0 20px;
48
- # line-height: 1.5;
49
- # background: linear-gradient(90deg, #4299e1, #48bb78);
50
- # -webkit-background-clip: text;
51
- # -webkit-text-fill-color: transparent;
52
- # font-weight: 600;
53
- # '>
54
- # Tell us about your lifestyle, and we'll recommend the perfect dog breeds for you!
55
- # </p>
56
-
57
- # <!-- 提示訊息 -->
58
- # <div style='
59
- # margin-top: 15px;
60
- # padding: 10px 20px;
61
- # background: linear-gradient(to right, rgba(66, 153, 225, 0.15), rgba(72, 187, 120, 0.15));
62
- # border-radius: 8px;
63
- # font-size: 0.9em;
64
- # color: #2D3748;
65
- # display: flex;
66
- # align-items: center;
67
- # justify-content: center;
68
- # gap: 8px;
69
- # '>
70
- # <span style="font-size: 1.2em;">🔬</span>
71
- # <span style="
72
- # letter-spacing: 0.3px;
73
- # line-height: 1.4;
74
- # "><strong>Beta Feature:</strong> Our matching algorithm is continuously improving. Results are for reference only.</span>
75
- # </div>
76
- # </div>
77
- # """)
78
-
79
- # with gr.Row():
80
- # with gr.Column():
81
- # living_space = gr.Radio(
82
- # choices=["apartment", "house_small", "house_large"],
83
- # label="What type of living space do you have?",
84
- # info="Choose your current living situation",
85
- # value="apartment"
86
- # )
87
-
88
- # yard_access = gr.Radio(
89
- # choices=["no_yard", "shared_yard", "private_yard"],
90
- # label="Yard Access Type",
91
- # info="Available outdoor space",
92
- # value="no_yard"
93
- # )
94
-
95
- # exercise_time = gr.Slider(
96
- # minimum=0,
97
- # maximum=180,
98
- # value=60,
99
- # label="Daily exercise time (minutes)",
100
- # info="Consider walks, play time, and training"
101
- # )
102
-
103
- # exercise_type = gr.Radio(
104
- # choices=["light_walks", "moderate_activity", "active_training"],
105
- # label="Exercise Style",
106
- # info="What kind of activities do you prefer?",
107
- # value="moderate_activity"
108
- # )
109
-
110
-
111
- # grooming_commitment = gr.Radio(
112
- # choices=["low", "medium", "high"],
113
- # label="Grooming commitment level",
114
- # info="Low: monthly, Medium: weekly, High: daily",
115
- # value="medium"
116
- # )
117
-
118
- # with gr.Column():
119
- # size_preference = gr.Radio(
120
- # choices=["no_preference", "small", "medium", "large", "giant"],
121
- # label="Preference Dog Size",
122
- # info="Select your preferred dog size - this will strongly filter the recommendations",
123
- # value = "no_preference"
124
- # )
125
- # experience_level = gr.Radio(
126
- # choices=["beginner", "intermediate", "advanced"],
127
- # label="Dog ownership experience",
128
- # info="Be honest - this helps find the right match",
129
- # value="beginner"
130
- # )
131
-
132
- # time_availability = gr.Radio(
133
- # choices=["limited", "moderate", "flexible"],
134
- # label="Time Availability",
135
- # info="Time available for dog care daily",
136
- # value="moderate"
137
- # )
138
-
139
- # has_children = gr.Checkbox(
140
- # label="Have children at home",
141
- # info="Helps recommend child-friendly breeds"
142
- # )
143
-
144
- # children_age = gr.Radio(
145
- # choices=["toddler", "school_age", "teenager"],
146
- # label="Children's Age Group",
147
- # info="Helps match with age-appropriate breeds",
148
- # visible=False # 默認隱藏,只在has_children=True時顯示
149
- # )
150
-
151
- # noise_tolerance = gr.Radio(
152
- # choices=["low", "medium", "high"],
153
- # label="Noise tolerance level",
154
- # info="Some breeds are more vocal than others",
155
- # value="medium"
156
- # )
157
-
158
- # def update_children_age_visibility(has_children):
159
- # return gr.update(visible=has_children)
160
-
161
- # has_children.change(
162
- # fn=update_children_age_visibility,
163
- # inputs=has_children,
164
- # outputs=children_age
165
- # )
166
-
167
- # get_recommendations_btn = gr.Button("Find My Perfect Match! 🔍", variant="primary")
168
-
169
- # recommendation_output = gr.HTML(
170
- # label="Breed Recommendations",
171
- # visible=True, # 確保可見性
172
- # elem_id="recommendation-output"
173
- # )
174
-
175
- # def on_find_match_click(*args):
176
- # try:
177
- # user_prefs = UserPreferences(
178
- # living_space=args[0],
179
- # yard_access=args[1],
180
- # exercise_time=args[2],
181
- # exercise_type=args[3],
182
- # grooming_commitment=args[4],
183
- # size_preference=args[5],
184
- # experience_level=args[6],
185
- # time_availability=args[7],
186
- # has_children=args[8],
187
- # children_age=args[9] if args[8] else None,
188
- # noise_tolerance=args[10],
189
- # space_for_play=True if args[0] != "apartment" else False,
190
- # other_pets=False,
191
- # climate="moderate",
192
- # health_sensitivity="medium",
193
- # barking_acceptance=args[10]
194
- # )
195
-
196
- # recommendations = get_breed_recommendations(user_prefs, top_n=15)
197
-
198
- # history_results = [{
199
- # 'breed': rec['breed'],
200
- # 'rank': rec['rank'],
201
- # 'overall_score': rec['final_score'],
202
- # 'base_score': rec['base_score'],
203
- # 'bonus_score': rec['bonus_score'],
204
- # 'scores': rec['scores']
205
- # } for rec in recommendations]
206
-
207
- # history_component.save_search(
208
- # user_preferences={
209
- # 'living_space': args[0],
210
- # 'yard_access': args[1],
211
- # 'exercise_time': args[2],
212
- # 'exercise_type': args[3],
213
- # 'grooming_commitment': args[4],
214
- # 'size_preference': args[5],
215
- # 'experience_level': args[6],
216
- # 'time_availability': args[7],
217
- # 'has_children': args[8],
218
- # 'children_age': args[9] if args[8] else None,
219
- # 'noise_tolerance': args[10],
220
- # 'search_type': 'Criteria'
221
- # },
222
- # results=history_results
223
- # )
224
-
225
- # return format_recommendation_html(recommendations, is_description_search=False)
226
-
227
- # except Exception as e:
228
- # print(f"Error in find match: {str(e)}")
229
- # import traceback
230
- # print(traceback.format_exc())
231
- # return "Error getting recommendations"
232
-
233
-
234
- # get_recommendations_btn.click(
235
- # fn=on_find_match_click,
236
- # inputs=[
237
- # living_space,
238
- # yard_access,
239
- # exercise_time,
240
- # exercise_type,
241
- # grooming_commitment,
242
- # size_preference,
243
- # experience_level,
244
- # time_availability,
245
- # has_children,
246
- # children_age,
247
- # noise_tolerance
248
- # ],
249
- # outputs=recommendation_output
250
- # )
251
-
252
- # return {
253
- # 'living_space': living_space,
254
- # 'exercise_time': exercise_time,
255
- # 'grooming_commitment': grooming_commitment,
256
- # 'experience_level': experience_level,
257
- # 'has_children': has_children,
258
- # 'noise_tolerance': noise_tolerance,
259
- # 'get_recommendations_btn': get_recommendations_btn,
260
- # 'recommendation_output': recommendation_output,
261
- # }
262
-
263
  def create_recommendation_tab(UserPreferences, get_breed_recommendations, format_recommendation_html, history_component):
264
 
265
  with gr.TabItem("Breed Recommendation"):
@@ -413,94 +164,37 @@ def create_recommendation_tab(UserPreferences, get_breed_recommendations, format
413
  outputs=children_age
414
  )
415
 
416
- with gr.Column():
417
- # 添加自定義 CSS
418
- gr.HTML("""
419
- <style>
420
- .custom-match-button {
421
- background: linear-gradient(to right, #ff8c42, #ff6b2b) !important;
422
- border-radius: 50px !important;
423
- padding: 12px 24px !important;
424
- border: none !important;
425
- color: white !important;
426
- font-weight: 600 !important;
427
- transition: all 0.3s ease !important;
428
- box-shadow: 0 4px 15px rgba(255, 107, 43, 0.2) !important;
429
- }
430
-
431
- .custom-match-button:hover {
432
- transform: translateY(-2px) !important;
433
- box-shadow: 0 6px 20px rgba(255, 107, 43, 0.3) !important;
434
- background: linear-gradient(to right, #ff6b2b, #ff5722) !important;
435
- }
436
- </style>
437
- """)
438
-
439
- # 創建新的按鈕
440
- get_recommendations_btn = gr.Button(
441
- "Find My Perfect Match 🐾",
442
- elem_classes="custom-match-button",
443
- variant="primary"
444
- )
445
-
446
- # 創建輸出顯示組件
447
- recommendation_output = gr.HTML(
448
- label="Breed Recommendations",
449
- visible=True,
450
- elem_id="recommendation-output"
451
- )
452
 
453
-
454
- async def on_find_match_click(*args):
455
  try:
456
- loading_messages = [
457
- "🐕 Sniffing out your perfect match...",
458
- "🔍 Searching through our database...",
459
- "🎾 Playing fetch with potential matches...",
460
- "🦴 Evaluating compatibility scores...",
461
- "💭 Getting opinions from our experts..."
462
- ]
463
-
464
- for message in loading_messages:
465
- yield gr.HTML("""
466
- <div style="
467
- text-align: center;
468
- padding: 15px;
469
- background: white;
470
- border-radius: 8px;
471
- margin: 10px 0;
472
- color: #4a5568;
473
- font-size: 1.1em;
474
- font-weight: 500;
475
- ">
476
- {message}
477
- </div>
478
- """.format(message=message))
479
- await asyncio.sleep(0.5)
480
-
481
- # 處理用戶數據和獲取推薦
482
  user_prefs = UserPreferences(
483
- living_space=args[0],
484
- yard_access=args[1],
485
- exercise_time=args[2],
486
- exercise_type=args[3],
487
- grooming_commitment=args[4],
488
- size_preference=args[5],
489
- experience_level=args[6],
490
- time_availability=args[7],
491
- has_children=args[8],
492
- children_age=args[9] if args[8] else None,
493
- noise_tolerance=args[10],
494
- space_for_play=True if args[0] != "apartment" else False,
495
- other_pets=False,
496
- climate="moderate",
497
- health_sensitivity="medium",
498
- barking_acceptance=args[10]
499
- )
500
-
501
  recommendations = get_breed_recommendations(user_prefs, top_n=15)
502
-
503
- # 保存搜索歷史
504
  history_results = [{
505
  'breed': rec['breed'],
506
  'rank': rec['rank'],
@@ -509,7 +203,7 @@ def create_recommendation_tab(UserPreferences, get_breed_recommendations, format
509
  'bonus_score': rec['bonus_score'],
510
  'scores': rec['scores']
511
  } for rec in recommendations]
512
-
513
  history_component.save_search(
514
  user_preferences={
515
  'living_space': args[0],
@@ -527,33 +221,32 @@ def create_recommendation_tab(UserPreferences, get_breed_recommendations, format
527
  },
528
  results=history_results
529
  )
530
-
531
- # 使用 yield 而不是 return 來返回最終結果
532
- yield gr.HTML(format_recommendation_html(recommendations, is_description_search=False))
533
-
534
  except Exception as e:
535
  print(f"Error in find match: {str(e)}")
536
- yield gr.HTML("Error getting recommendations")
 
 
537
 
538
 
539
  get_recommendations_btn.click(
540
  fn=on_find_match_click,
541
  inputs=[
542
  living_space,
543
- yard_access,
544
  exercise_time,
545
- exercise_type,
546
  grooming_commitment,
547
  size_preference,
548
  experience_level,
549
- time_availability,
550
  has_children,
551
  children_age,
552
  noise_tolerance
553
  ],
554
- outputs=recommendation_output,
555
- api_name=False,
556
- queue=True
557
  )
558
 
559
  return {
 
11
  from search_history import create_history_tab, create_history_component
12
 
13
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14
  def create_recommendation_tab(UserPreferences, get_breed_recommendations, format_recommendation_html, history_component):
15
 
16
  with gr.TabItem("Breed Recommendation"):
 
164
  outputs=children_age
165
  )
166
 
167
+ get_recommendations_btn = gr.Button("Find My Perfect Match! 🔍", variant="primary")
168
+
169
+ recommendation_output = gr.HTML(
170
+ label="Breed Recommendations",
171
+ visible=True, # 確保可見性
172
+ elem_id="recommendation-output"
173
+ )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
174
 
175
+ def on_find_match_click(*args):
 
176
  try:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
177
  user_prefs = UserPreferences(
178
+ living_space=args[0],
179
+ yard_access=args[1],
180
+ exercise_time=args[2],
181
+ exercise_type=args[3],
182
+ grooming_commitment=args[4],
183
+ size_preference=args[5],
184
+ experience_level=args[6],
185
+ time_availability=args[7],
186
+ has_children=args[8],
187
+ children_age=args[9] if args[8] else None,
188
+ noise_tolerance=args[10],
189
+ space_for_play=True if args[0] != "apartment" else False,
190
+ other_pets=False,
191
+ climate="moderate",
192
+ health_sensitivity="medium",
193
+ barking_acceptance=args[10]
194
+ )
195
+
196
  recommendations = get_breed_recommendations(user_prefs, top_n=15)
197
+
 
198
  history_results = [{
199
  'breed': rec['breed'],
200
  'rank': rec['rank'],
 
203
  'bonus_score': rec['bonus_score'],
204
  'scores': rec['scores']
205
  } for rec in recommendations]
206
+
207
  history_component.save_search(
208
  user_preferences={
209
  'living_space': args[0],
 
221
  },
222
  results=history_results
223
  )
224
+
225
+ return format_recommendation_html(recommendations, is_description_search=False)
226
+
 
227
  except Exception as e:
228
  print(f"Error in find match: {str(e)}")
229
+ import traceback
230
+ print(traceback.format_exc())
231
+ return "Error getting recommendations"
232
 
233
 
234
  get_recommendations_btn.click(
235
  fn=on_find_match_click,
236
  inputs=[
237
  living_space,
238
+ yard_access,
239
  exercise_time,
240
+ exercise_type,
241
  grooming_commitment,
242
  size_preference,
243
  experience_level,
244
+ time_availability,
245
  has_children,
246
  children_age,
247
  noise_tolerance
248
  ],
249
+ outputs=recommendation_output
 
 
250
  )
251
 
252
  return {