nothing

Monitor_mongoDB/psi_from_mongodb.py

@@ -13,7 +13,7 @@ import matplotlib.pyplot as plt
 import sklearn.metrics
 
 # read mongodb mapping from excel
-mapping_score = pd.read_excel("./query_score.xlsx",sheet_name='score_mongo').dropna(axis=0)
+mapping_score = pd.read_excel("../query_score.xlsx",sheet_name='score_mongo').dropna(axis=0)
 #mapping_variable = pd.read_excel("./mongodb.xlsx",sheet_name='variable').dropna(axis=0)
 
 limit = "{'wf_created_at': {'$gte': '@start_date', '$lt': '@end_date'}}"

Monitor_risk_analysis/Monitor_VLM_riskanalysi.py

@@ -53,12 +53,18 @@ risk_analysis_config = {'user': 'fengkong_read_only',
                         'port': 9030,
                         'database': 'risk_analysis',
                         'encoding': 'utf8'}
+# risk_analysis_config = {'user': 'haoyue_shu',
+#                         'password': '0SMd1rNQ',
+#                         'host': '172.20.6.10',
+#                         'port': 9030,
+#                         'database': 'risk_analysis',
+#                         'encoding': 'utf8'}
 #################################################################################
 
 pwd = os.getcwd()
-path = "E:\\Python\\su Project\\plot\\VLM\\"
-path_alarm = "E:\\Python\\su Project\\plot\\VLM\\alarm\\"
-path_sepatate = "E:\\Python\\su Project\\plot\\separateByChannel\\"
+path = "../plot/VLM/"
+path_alarm = "../plot/VLM/alarm/"
+path_sepatate = "../plot/separateByChannel/"
 now = time.strftime("%Y-%m-%d")
 
 
@@ -140,7 +146,7 @@ def readExcel(path, sheet=None):
 # conn = connect2DB()
 dict_keylist = []
 dict_vallist = []
-dict_DD = readExcel("E:\\Python\\su Project\\features_DD.xlsx")
+dict_DD = readExcel("../features_risk_analysis.xlsx")
 modelList = [model for model in dict_DD.keys()]
 
 
@@ -169,7 +175,7 @@ def query_sql(sql, db_config=risk_analysis_config):
         df = pd.read_sql(sql, conn)
         conn.close()
         return df
-    except Exception as e:
+    except:
         return 0
 
 

test.py

+
+class Solution:
+    def __init__(self):
+
+        pass
+    def find_max_length(self, array, k):
+        if not array:
+            return 0
+        sum_subarray = array[0]
+        left, right = 0, 1
+        max_length = 0
+        while right < len(array):
+            if sum_subarray == k:
+                max_length = max(max_length, right - left)
+                sum_subarray += array[right]
+                right += 1
+
+
+
+
+