up zero

app/api/v1/app_valuations/app_valuations.py

@@ -79,7 +79,7 @@ async def _perform_valuation_calculation(user_id: int, data: UserValuationCreate
         # 侵权分 默认 6
         try:
             judicial_data = universal_api.query_judicial_data(data.institution)
-            _data = judicial_data["data"].get("target",None) # 诉讼标的
+            _data = judicial_data["data"].get("target", None)  # 诉讼标的
             if _data:
                 infringement_score = 0.0
             else:
@@ -103,7 +103,8 @@ async def _perform_valuation_calculation(user_id: int, data: UserValuationCreate
         # 验证 专利剩余年限
         # 发展潜力D相关参数 专利数量
         # 查询匹配申请号的记录集合
-        matched = [item for item in data_list if isinstance(item, dict) and item.get("SQH") == getattr(data, 'patent_application_no', None)]
+        matched = [item for item in data_list if
+                   isinstance(item, dict) and item.get("SQH") == getattr(data, 'patent_application_no', None)]
         if matched:
             patent_count = calculate_patent_usage_score(len(matched))
             input_data_by_b1["patent_count"] = float(patent_count)
@@ -312,7 +313,7 @@ async def _extract_calculation_params_b1(data: UserValuationCreate) -> Dict[str,
     """
     # 基础价值B11相关参数
     # 财务价值所需数据 从近三年收益计算
-    three_year_income = data.three_year_income or [0, 0, 0]
+    three_year_income = [safe_float(income) for income in data.three_year_income]
 
     # 法律强度L相关参数
     # 普及地域分值 默认 7分
@@ -320,8 +321,8 @@ async def _extract_calculation_params_b1(data: UserValuationCreate) -> Dict[str,
 
     # 创新投入比 = (研发费用/营收) * 100
     try:
-        rd_investment = float(data.rd_investment or 0)
-        annual_revenue = float(data.annual_revenue or 1)  # 避免除零
+        rd_investment = float(data.rd_investment) or 0
+        annual_revenue = float(data.annual_revenue)  or 1# 避免除零
         innovation_ratio = (rd_investment / annual_revenue) * 100 if annual_revenue > 0 else 0
     except (ValueError, TypeError):
         innovation_ratio = 0.0
@@ -367,6 +368,11 @@ async def _extract_calculation_params_b1(data: UserValuationCreate) -> Dict[str,
     implementation_stage = policy_calculator.calculate_implementation_stage_score(implementation_stage_str)
     funding_support = policy_calculator.calculate_funding_support_score(funding_support_str)
 
+    # 获取线下账号 转发 点赞 评论信息 {kuaishou: {account: "123456789", likes: "33", comments: "33", shares: "33"}}
+    platform_accounts_data = data.platform_accounts
+    platform_key = next(iter(platform_accounts_data))  # 或 list(data.keys())[0]
+    info = platform_accounts_data[platform_key]
+
     return {
         # 基础价值B11相关参数
         'three_year_income': three_year_income,
@@ -377,11 +383,11 @@ async def _extract_calculation_params_b1(data: UserValuationCreate) -> Dict[str,
         # 流量因子B12相关参数
         'search_index_s1': search_index_s1,
         'industry_average_s2': industry_average_s2,
-        'social_media_spread_s3': 0.0,
+        # 'social_media_spread_s3': 0.0,
         # 这些社交数据暂未来源，置为0，后续接入API再填充
-        'likes': 0,
-        'comments': 0,
-        'shares': 0,
+        'likes': safe_float(info["likes"]),
+        'comments': safe_float(info["comments"]),
+        'shares': safe_float(info["shares"]),
         # followers 非当前计算用键，先移除避免干扰
 
         # click_count 与 view_count 目前未参与计算，先移除
@@ -411,10 +417,17 @@ async def _extract_calculation_params_b2(data: UserValuationCreate) -> Dict[str,
     inheritor_level_coefficient = living_heritage_calculator.calculate_inheritor_level_coefficient(inheritor_level)
 
     offline_sessions = int(data.offline_activities)  # 线下传习次数
+    platform_accounts_data = data.platform_accounts
+    rs = {}
+    for platform, info in platform_accounts_data.items():
+        rs[platform] = {
+            "likes": safe_float(info.get("likes")),
+        }
     # 以下调用API douyin\bilibili\kuaishou
-    douyin_views = 0
-    kuaishou_views = 0
-    bilibili_views = 0
+    douyin_views = safe_float(rs.get("douyin",None).get("likes",0)) if rs.get("douyin",None) else 0
+    kuaishou_views = safe_float(rs.get("kuaishou",None).get("likes",0)) if rs.get("kuaishou",None) else 0
+    bilibili_views = safe_float(rs.get("bilibili",None).get("likes",0)) if rs.get("bilibili",None) else 0
+
     # 跨界合作深度 品牌联名0.3，科技载体0.5，国家外交礼品1.0
     cross_border_depth = float(data.cooperation_depth)
 
@@ -622,3 +635,10 @@ def calculate_total_years(data_list):
                 return 0
 
     return total_years
+
+
+def safe_float(v):
+    try:
+        return float(v)
+    except (ValueError, TypeError):
+        return 0.0

app/utils/calculation_engine/economic_value_b1/sub_formulas/traffic_factor_b12.py

@@ -68,9 +68,9 @@ class TrafficFactorB12Calculator:
         return social_media_spread
     
     def calculate_interaction_index(self,
-                                 likes: int,
-                                 comments: int,
-                                 shares: int) -> float:
+                                 likes: float,
+                                 comments: float,
+                                 shares: float) -> float:
         """
         计算互动量指数
 

run.py

@@ -11,3 +11,4 @@ if __name__ == "__main__":
     LOGGING_CONFIG["formatters"]["access"]["datefmt"] = "%Y-%m-%d %H:%M:%S"
 
     uvicorn.run("app:app", host="0.0.0.0", port=9999, reload=True, log_config=LOGGING_CONFIG)
+