SamiKoen Claude commited on
Commit
c1a894b
·
1 Parent(s): 5a5a4bb

Add warehouse stock integration to BF desktop chatbot

Browse files

- Integrated B2B warehouse API with context-aware variant search
- Added warehouse stock information to product responses
- Shows which stores have products in stock (without quantities)
- Works with both improved search and basic search
- Context-aware: 'Marlin 6 M Turuncu' finds only Marlin 6 variants

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

Files changed (1) hide show
  1. app.py +194 -2
app.py CHANGED
@@ -29,6 +29,164 @@ from enhanced_features import (
29
  )
30
  from image_renderer import extract_product_info_for_gallery, format_message_with_images
31
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
32
  # Import improved product search
33
  try:
34
  from improved_chatbot import ImprovedChatbot
@@ -336,9 +494,30 @@ def chatbot_fn(user_message, history, image=None):
336
  try:
337
  product_result = improved_bot.process_message(user_message)
338
  if product_result['is_product_query'] and product_result['response']:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
339
  system_messages.append({
340
  "role": "system",
341
- "content": f"ÜRÜN BİLGİSİ:\n{product_result['response']}\n\nBu bilgileri kullanarak kullanıcıya yardımcı ol."
342
  })
343
  product_found_improved = True
344
  except Exception as e:
@@ -402,8 +581,21 @@ def chatbot_fn(user_message, history, image=None):
402
  if len(product_info[1]) > 6 and product_info[1][6]: # Resim URL'si varsa
403
  product_image = f"\\nÜrün resmi: {product_info[1][6]}"
404
 
 
 
 
 
 
 
 
 
 
 
 
 
 
405
  # Tüm bilgileri birleştir
406
- new_msg = f"{product_info[2]} {product_info[1][0]}\\n{normal_price}{rebate_price}{discount_info}{eft_price}{rebate_money_order_price}{product_link}{product_image}"
407
  else:
408
  # Ürün stokta yoksa sadece stok durumunu bildir
409
  new_msg = f"{product_info[2]} {product_info[1][0]}"
 
29
  )
30
  from image_renderer import extract_product_info_for_gallery, format_message_with_images
31
 
32
+ # Warehouse stock integration
33
+ def get_warehouse_stock(product_name):
34
+ """B2B API'den mağaza stok bilgilerini çek - BF Space integration"""
35
+ try:
36
+ import re
37
+ warehouse_url = 'https://video.trek-turkey.com/bizimhesap-warehouse-xml.php'
38
+ response = requests.get(warehouse_url, verify=False, timeout=15)
39
+
40
+ if response.status_code != 200:
41
+ return None
42
+
43
+ root = ET.fromstring(response.content)
44
+
45
+ # Turkish character normalization function
46
+ turkish_map = {'ı': 'i', 'ğ': 'g', 'ü': 'u', 'ş': 's', 'ö': 'o', 'ç': 'c', 'İ': 'i', 'I': 'i'}
47
+
48
+ def normalize_turkish(text):
49
+ import unicodedata
50
+ text = unicodedata.normalize('NFD', text)
51
+ text = ''.join(char for char in text if unicodedata.category(char) != 'Mn')
52
+ for tr_char, en_char in turkish_map.items():
53
+ text = text.replace(tr_char, en_char)
54
+ return text
55
+
56
+ # Normalize search product name
57
+ search_name = normalize_turkish(product_name.lower().strip())
58
+ search_name = search_name.replace('(2026)', '').replace('(2025)', '').replace(' gen 3', '').replace(' gen', '').strip()
59
+ search_words = search_name.split()
60
+
61
+ # Separate size/color words from product words
62
+ size_color_words = ['s', 'm', 'l', 'xl', 'xs', 'small', 'medium', 'large',
63
+ 'turuncu', 'siyah', 'beyaz', 'mavi', 'kirmizi', 'yesil',
64
+ 'orange', 'black', 'white', 'blue', 'red', 'green']
65
+
66
+ variant_words = [word for word in search_words if word in size_color_words]
67
+ product_words = [word for word in search_words if word not in size_color_words]
68
+
69
+ # Check if this is a size/color specific query
70
+ is_size_color_query = len(variant_words) > 0 and len(search_words) <= 4
71
+
72
+ best_matches = []
73
+ exact_matches = []
74
+ variant_matches = []
75
+ candidates = []
76
+
77
+ # First pass: Variant field search for size/color combinations
78
+ if is_size_color_query:
79
+ for product in root.findall('Product'):
80
+ product_name_elem = product.find('ProductName')
81
+ variant_elem = product.find('Variant')
82
+
83
+ if product_name_elem is not None and product_name_elem.text:
84
+ xml_product_name = product_name_elem.text.strip()
85
+ normalized_product_name = normalize_turkish(xml_product_name.lower())
86
+
87
+ # If there are product words, check if they match the product name
88
+ product_name_matches = True
89
+ if product_words:
90
+ product_name_matches = all(word in normalized_product_name for word in product_words)
91
+
92
+ # Only proceed if product name matches (or no product context)
93
+ if product_name_matches:
94
+ # Variant field check
95
+ if variant_elem is not None and variant_elem.text:
96
+ variant_text = normalize_turkish(variant_elem.text.lower().replace('-', ' '))
97
+
98
+ # Check if all variant words are in variant field
99
+ if all(word in variant_text for word in variant_words):
100
+ variant_matches.append((product, xml_product_name, variant_text))
101
+
102
+ if variant_matches:
103
+ candidates = variant_matches
104
+ else:
105
+ # Fallback to normal product name search
106
+ is_size_color_query = False
107
+
108
+ # Second pass: Normal product name exact matches (if no variant match)
109
+ if not is_size_color_query or not candidates:
110
+ for product in root.findall('Product'):
111
+ product_name_elem = product.find('ProductName')
112
+ if product_name_elem is not None and product_name_elem.text:
113
+ xml_product_name = product_name_elem.text.strip()
114
+ normalized_xml = normalize_turkish(xml_product_name.lower())
115
+ normalized_xml = normalized_xml.replace('(2026)', '').replace('(2025)', '').replace(' gen 3', '').replace(' gen', '').strip()
116
+ xml_words = normalized_xml.split()
117
+
118
+ # Exact match check - first two words must match exactly
119
+ if len(search_words) >= 2 and len(xml_words) >= 2:
120
+ search_key = f"{search_words[0]} {search_words[1]}"
121
+ xml_key = f"{xml_words[0]} {xml_words[1]}"
122
+
123
+ if search_key == xml_key:
124
+ exact_matches.append((product, xml_product_name, normalized_xml))
125
+
126
+ # Use variant matches if available, otherwise exact matches
127
+ if not candidates:
128
+ candidates = exact_matches if exact_matches else []
129
+
130
+ # If still no matches, try fuzzy matching
131
+ if not candidates:
132
+ for product in root.findall('Product'):
133
+ product_name_elem = product.find('ProductName')
134
+ if product_name_elem is not None and product_name_elem.text:
135
+ xml_product_name = product_name_elem.text.strip()
136
+ normalized_xml = normalize_turkish(xml_product_name.lower())
137
+ normalized_xml = normalized_xml.replace('(2026)', '').replace('(2025)', '').replace(' gen 3', '').replace(' gen', '').strip()
138
+ xml_words = normalized_xml.split()
139
+
140
+ # Count common words
141
+ common_words = set(search_words) & set(xml_words)
142
+
143
+ # Need at least 2 common words AND first word must match (brand check)
144
+ if (len(common_words) >= 2 and
145
+ len(search_words) > 0 and len(xml_words) > 0 and
146
+ search_words[0] == xml_words[0]):
147
+ best_matches.append((product, xml_product_name, normalized_xml, len(common_words)))
148
+
149
+ # Select those with most common words
150
+ if best_matches:
151
+ max_common = max(match[3] for match in best_matches)
152
+ candidates = [(match[0], match[1], match[2]) for match in best_matches if match[3] == max_common]
153
+
154
+ # Collect stock info and prevent duplicates
155
+ warehouse_stock_map = {} # warehouse_name -> total_stock
156
+
157
+ for product, xml_name, _ in candidates:
158
+ warehouses = product.find('Warehouses')
159
+ if warehouses is not None:
160
+ for warehouse in warehouses.findall('Warehouse'):
161
+ name_elem = warehouse.find('Name')
162
+ stock_elem = warehouse.find('Stock')
163
+
164
+ if name_elem is not None and stock_elem is not None:
165
+ warehouse_name = name_elem.text if name_elem.text else "Bilinmeyen"
166
+ try:
167
+ stock_count = int(stock_elem.text) if stock_elem.text else 0
168
+ if stock_count > 0:
169
+ # Sum stocks for same warehouse
170
+ if warehouse_name in warehouse_stock_map:
171
+ warehouse_stock_map[warehouse_name] += stock_count
172
+ else:
173
+ warehouse_stock_map[warehouse_name] = stock_count
174
+ except (ValueError, TypeError):
175
+ pass
176
+
177
+ if warehouse_stock_map:
178
+ # Return warehouse stock as list
179
+ all_warehouse_info = []
180
+ for warehouse_name, total_stock in warehouse_stock_map.items():
181
+ all_warehouse_info.append(f"{warehouse_name}: Stokta var")
182
+ return all_warehouse_info
183
+ else:
184
+ return ["Hiçbir mağazada stokta bulunmuyor"]
185
+
186
+ except Exception as e:
187
+ print(f"Mağaza stok bilgisi çekme hatası: {e}")
188
+ return None
189
+
190
  # Import improved product search
191
  try:
192
  from improved_chatbot import ImprovedChatbot
 
494
  try:
495
  product_result = improved_bot.process_message(user_message)
496
  if product_result['is_product_query'] and product_result['response']:
497
+ # Extract product name from improved search result for warehouse stock
498
+ enhanced_response = product_result['response']
499
+
500
+ # Try to get warehouse stock info
501
+ try:
502
+ # Extract product name from the response - look for product names in user message
503
+ input_words = user_message.lower().split()
504
+ warehouse_info = ""
505
+
506
+ # Try warehouse stock with the user's original query
507
+ warehouse_stock = get_warehouse_stock(user_message)
508
+ if warehouse_stock and warehouse_stock != ["Hiçbir mağazada stokta bulunmuyor"]:
509
+ warehouse_info = f"\n\n🏪 MAĞAZA STOK BİLGİLERİ:\n"
510
+ for store_info in warehouse_stock:
511
+ warehouse_info += f"• {store_info}\n"
512
+ enhanced_response += warehouse_info
513
+ elif warehouse_stock == ["Hiçbir mağazada stokta bulunmuyor"]:
514
+ enhanced_response += f"\n\n🏪 MAĞAZA STOK BİLGİLERİ: Hiçbir mağazada stokta bulunmuyor"
515
+ except Exception as e:
516
+ print(f"Warehouse stock error in improved search: {e}")
517
+
518
  system_messages.append({
519
  "role": "system",
520
+ "content": f"ÜRÜN BİLGİSİ:\n{enhanced_response}\n\nBu bilgileri kullanarak kullanıcıya yardımcı ol."
521
  })
522
  product_found_improved = True
523
  except Exception as e:
 
581
  if len(product_info[1]) > 6 and product_info[1][6]: # Resim URL'si varsa
582
  product_image = f"\\nÜrün resmi: {product_info[1][6]}"
583
 
584
+ # Mağaza stok bilgilerini ekle
585
+ warehouse_stock_info = ""
586
+ try:
587
+ warehouse_stock = get_warehouse_stock(product_info[2])
588
+ if warehouse_stock and warehouse_stock != ["Hiçbir mağazada stokta bulunmuyor"]:
589
+ warehouse_stock_info = f"\\n🏪 Mağaza stok bilgileri:\\n"
590
+ for store_info in warehouse_stock:
591
+ warehouse_stock_info += f"• {store_info}\\n"
592
+ elif warehouse_stock == ["Hiçbir mağazada stokta bulunmuyor"]:
593
+ warehouse_stock_info = f"\\n🏪 Mağaza stok bilgileri: Hiçbir mağazada stokta bulunmuyor\\n"
594
+ except Exception as e:
595
+ print(f"Warehouse stock error for {product_info[2]}: {e}")
596
+
597
  # Tüm bilgileri birleştir
598
+ new_msg = f"{product_info[2]} {product_info[1][0]}\\n{normal_price}{rebate_price}{discount_info}{eft_price}{rebate_money_order_price}{product_link}{product_image}{warehouse_stock_info}"
599
  else:
600
  # Ürün stokta yoksa sadece stok durumunu bildir
601
  new_msg = f"{product_info[2]} {product_info[1][0]}"