更新今日的数据刷新

product/integrated_product_system.py

@@ -101,19 +101,18 @@ class IntegratedProductSystem:
                 )
             ''')
             
-            # 创建分析结果表（来自product_ai_analysis.py）
-            # 移除了product_intro字段，避免与ai_response内容重复
+            # 创建分析结果表
+            # 根据最新数据库结构更新
             cursor.execute('''
                 CREATE TABLE IF NOT EXISTS product_analysis (
                     id INTEGER PRIMARY KEY AUTOINCREMENT,
-                    original_id INTEGER,
                     original_name TEXT,
-                    product_name TEXT,
+                    product_intro TEXT,
                     development_difficulty TEXT,
-                    difficulty_score INTEGER,
                     ai_response TEXT,
                     created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-                    FOREIGN KEY (original_id) REFERENCES products (id)
+                    difficulty_score INTEGER,
+                    product_link TEXT
                 )
             ''')
             
@@ -328,17 +327,16 @@ class IntegratedProductSystem:
             # 使用/分割响应内容
             parts = response.split('/')
             
-            product_name = ""
             product_intro = ""
             difficulty = ""
             difficulty_score = None
             
             if len(parts) >= 3:
-                product_name = parts[0].strip()
+                # 不再使用product_name，直接从原始名称中获取
                 product_intro = parts[1].strip()
                 difficulty = parts[2].strip()
                 
-                logger.info(f"解析结果: 名称='{product_name}', 简介='{product_intro[:30]}...', 难度='{difficulty}'")
+                logger.info(f"解析结果: 简介='{product_intro[:30]}...', 难度='{difficulty}'")
                 
                 # 从难度描述中提取分数
                 import re
@@ -370,11 +368,11 @@ class IntegratedProductSystem:
                 difficulty = response
                 difficulty_score = 50  # 默认中等难度
                 
-            return product_name, product_intro, difficulty, difficulty_score
+            return product_intro, difficulty, difficulty_score
             
         except Exception as e:
             logger.error(f"解析AI响应失败: {e}")
-            return "", response, "", 50
+            return "", response, 50
     
     def check_product_exists_in_analysis(self, conn: sqlite3.Connection, original_name: str) -> bool:
         """检查产品是否已存在于分析结果表中"""
@@ -398,9 +396,10 @@ class IntegratedProductSystem:
             return False
     
     def save_analysis_result(self, conn: sqlite3.Connection, 
-                           original_id: int, original_name: str,
-                           product_name: str, difficulty: str, ai_response: str, difficulty_score: int = None):
-        """保存分析结果到数据库，包括难度分数"""
+                           original_name: str, difficulty: str, 
+                           ai_response: str, difficulty_score: int = None, 
+                           product_link: str = None):
+        """保存分析结果到数据库，包括难度分数和产品链接"""
         try:
             cursor = conn.cursor()
             
@@ -410,12 +409,12 @@ class IntegratedProductSystem:
             
             cursor.execute("""
                 INSERT INTO product_analysis 
-                (original_id, original_name, product_name, development_difficulty, difficulty_score, ai_response)
-                VALUES (?, ?, ?, ?, ?, ?)
-            """, (original_id, original_name, product_name, difficulty, difficulty_score, ai_response))
+                (original_name, development_difficulty, difficulty_score, ai_response, product_link)
+                VALUES (?, ?, ?, ?, ?)
+            """, (original_name, difficulty, difficulty_score, ai_response, product_link))
             
             conn.commit()
-            logger.success(f"保存分析结果成功: {product_name}, 难度分数: {difficulty_score}")
+            logger.success(f"保存分析结果成功: {original_name}, 难度分数: {difficulty_score}")
             
         except Exception as e:
             logger.error(f"保存分析结果失败: {e}")
@@ -471,11 +470,10 @@ class IntegratedProductSystem:
                     logger.info(f"API调用成功，正在处理数据...")
                     
                     # 解析响应
-                    product_name, product_intro, difficulty, difficulty_score = self.parse_ai_response(ai_response)
+                    product_intro, difficulty, difficulty_score = self.parse_ai_response(ai_response)
                     
                     # 保存结果（不再保存product_intro，避免与ai_response重复）
-                    self.save_analysis_result(conn, original_id, name, 
-                                            product_name, difficulty, ai_response, difficulty_score)
+                    self.save_analysis_result(conn, name, difficulty, ai_response, difficulty_score)
                     success_count += 1
                     
                     # 显示完成状态
@@ -597,9 +595,8 @@ class IntegratedProductSystem:
             
             # 查询缺失难度分数的产品
             cursor.execute("""
-                SELECT pa.id, p.name, p.introduction, pa.ai_response 
+                SELECT pa.id, pa.original_name, pa.product_intro, pa.ai_response 
                 FROM product_analysis pa
-                JOIN products p ON pa.original_id = p.id
                 WHERE pa.difficulty_score IS NULL OR pa.difficulty_score = ''
             """)
             

product/web_sqlite_viewer.py

@@ -257,9 +257,8 @@ def analyze_missing_scores():
             
             # 查询缺失分数的产品
             cursor.execute("""
-                SELECT pa.id, p.name, p.description 
+                SELECT pa.id, pa.original_name, pa.product_intro 
                 FROM product_analysis pa
-                JOIN products p ON pa.product_id = p.id
                 WHERE pa.difficulty_score IS NULL OR pa.difficulty_score = ''
             """)
             missing_scores = cursor.fetchall()

temp_product_info.txt

@@ -0,0 +1,11 @@
+=== Product Hunt 产品信息 ===
+
+产品名称: TinyCommand
+
+产品简介: TinyCommand brings your forms, workflows, data, emails, and AI agents together, so everything connects and runs on its own. Build smarter, automate faster, and manage it all in one no-code platform.
+
+制作人发言: 
+
+用户数: 540 followers
+
+提取时间: 2025-12-01 19:16:04