diff --git a/company/company_db.py b/company/company_db.py
index 573fc48..d09284f 100644
--- a/company/company_db.py
+++ b/company/company_db.py
@@ -1,10 +1,10 @@
 import pymongo
 
-MG_USER = "root"
-MG_PWD = "sromitdTW569kC#M"
-MG_HOST = "116.63.130.34"
-MG_PORT = "27018"
-CLIENT = pymongo.MongoClient('mongodb://{}:{}@{}:{}'.format(MG_USER, MG_PWD, MG_HOST, MG_PORT))
+DB_HOST = "116.63.130.34"
+DB_PASS = "UTlC9cCoglD1cI1*"
+DB_USER = "root"
+DB_PORT = "27021"
+CLIENT = pymongo.MongoClient('mongodb://{}:{}@{}:{}'.format(DB_USER, DB_PASS, DB_HOST, DB_PORT))
 
 
 def FIND_DATA_IN_COMPANY(param1, param2):
@@ -51,3 +51,38 @@ def FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS(industry):
         return record[0]
     else:
         return False
+
+
+def FIND_SINGLE_DATA_BY_REQ(param1, param2, param3, param4):
+    """
+    查询符合条件的第一条数据
+    Parameters:
+        param1: str 数据库
+        param2: str 数据表
+        param3: dict 查询条件
+        param4: list 查询字段
+    Returns:
+        record: 查询结果为空，返回False; 查询结果正常，返回查询结果的第一条数据;
+    """
+    collection = CLIENT[param1][param2]
+    columns = {**{'_id': False}, **dict(zip(param4, [1] * len(param4)))}
+    record = list(collection.find(param3, columns))
+    return False if record == [] else record[0]
+
+
+def FIND_SINGLE_DATA_BY_REQ_WITH_SORT(param1, param2, param3, param4, param5):
+    """
+    查询符合条件的第一条数据
+    Parameters:
+        param1: str 数据库
+        param2: str 数据表
+        param3: dict 查询条件
+        param4: list 查询字段
+        param5: dict 排序条件 例如 {"name": 1} 表示按照name字段正序返回
+    Returns:
+        record: 查询结果为空，返回False; 查询结果正常，返回查询结果的第一条数据;
+    """
+    collection = CLIENT[param1][param2]
+    columns = {**{'_id': False}, **dict(zip(param4, [1] * len(param4)))}
+    record = list(collection.find(param3, columns).sort(list(param5.keys())[0], list(param5.values())[0]).limit(1))
+    return False if record == [] else record[0]
diff --git a/company/company_impl.py b/company/company_impl.py
index dec290b..0bb99f0 100644
--- a/company/company_impl.py
+++ b/company/company_impl.py
@@ -2,8 +2,9 @@ import json
 import pandas as pd
 
 
-from company.company_db import FIND_DATA_IN_COMPANY, FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS
-from company.company_utils import sub_dict, judge_industry
+from company.company_db import FIND_DATA_IN_COMPANY, FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS, \
+    FIND_SINGLE_DATA_BY_REQ_WITH_SORT, FIND_SINGLE_DATA_BY_REQ
+from company.company_utils import judge_industry
 
 
 def find_company_data_scripts(table, cid):
@@ -11,20 +12,23 @@ def find_company_data_scripts(table, cid):
 
 
 def get_head_info_impl(cid):
-    data = FIND_DATA_IN_COMPANY('综合评价分析', {"企业ID": cid})
-    if data:
-        return sub_dict(data[0], ['企业名称', '综合信用等级'])
-    else:
-        company = FIND_DATA_IN_COMPANY('公司基本信息', {"企业ID": cid})[0]
-        result = {
-            "企业名称": company['企业名称'],
-            "综合信用等级": {
-                "评价时间": "N/A",
-                "信用等级": "N/A",
-                "信用评分": "N/A"
-            },
-        }
-        return result
+    # company_info: 企业信息
+    company_info = FIND_SINGLE_DATA_BY_REQ("应用端", "企业用户", {"企业ID": cid}, ["企业名称", "已认证"])
+
+    # cc_rating: 最近一期综信评价结果
+    cc_rating = FIND_SINGLE_DATA_BY_REQ_WITH_SORT("综信评价数据", "评价结果", {"企业ID": cid}, ["信用评分", "信用等级", "评价时间"], {"评价年度": -1})
+    # esg_rating: 最近一期ESG评价结果
+    esg_rating = FIND_SINGLE_DATA_BY_REQ_WITH_SORT("ESG评价数据", "评价结果", {"企业ID": cid}, ["ESG得分", "评价等级", "评价时间"], {"评价年度": -1})
+
+    # head_info: 公司主要头部信息
+    head_info = {
+        "企业名称": company_info['企业名称'],
+        "企业认证": "已认证" if company_info['已认证'] == "是" else "未认证",
+        "综合信用评价": cc_rating if cc_rating else {"信用等级": "N/A", "信用评分": "N/A", "评价时间": "N/A"},
+        "ESG评价": esg_rating if esg_rating else {"信用等级": "N/A", "信用评分": "N/A", "评价时间": "N/A"}
+    }
+
+    return head_info
 
 
 def find_financial_index_detail_scripts(table, cid):