Dev

server/src/app.py

@@ -7,6 +7,7 @@
 from services.ingress_service import ingress_service
 from services.reporting import reports
 from configparser import ConfigParser
+from json import loads
 
 
 app = Sanic(__name__)
@@ -29,10 +30,18 @@ async def index(request):
 @app.route('/timetoclose')
 async def timetoclose(request):
     ttc_worker = time_to_close(app.config['Settings'])
-    # Insert time to close calculation here
-    return_data = ttc_worker.ttc_query()
+    data = []
 
-    return return_data
+    # column_names = ttc_worker.ttc_view_columns()
+    # all_rows = loads(ttc_worker.ttc_view_table(onlyClosed=True))
+    # all_dates = loads(ttc_worker.ttc_view_dates(serviced=False))
+    time_diff = loads(ttc_worker.ttc_average_time(serviced=True))
+
+    # data.append(column_names)
+    # data.append(all_rows)
+    # data.append(all_dates)
+    data.append(time_diff)
+    return json(data)
 
 
 @app.route('/requestfrequency')
@@ -41,7 +50,7 @@ async def requestfrequency(request):
     # Insert frequency calculation here
     return_data = freq_worker.freq_query()
 
-    return return_data
+    return json(return_data)
 
 
 @app.route('/sample-data')

server/src/services/time_to_close.py

@@ -1,28 +1,116 @@
 from configparser import ConfigParser
-from sqlalchemy.types import Integer, Text, String, DateTime, Float
-from sqlalchemy import create_engine
+import sqlalchemy as db
+import pandas as pd
+from datetime import datetime as dt
+import numpy as np
+
 
 class time_to_close(object):
-    def __init__(self, config=None):
+    def __init__(self, config=None, requestTypes=None, tableName="ingest_staging_table"):
+        """
+        Choose table from database by setting the value of tableName. Default table is the staging table.
+        """
         self.config = config
         self.dbString = None if not self.config else self.config['Database']['DB_CONNECTION_STRING']
+        self.table = tableName
+        self.data = None
         pass
 
-    def ttc_query(self):
-        engine = create_engine(self.dbString)
+    def ttc_view_columns(self):
+        """
+        Returns all the columns' names
+        """
+        engine = db.create_engine(self.dbString)
+
+        df = pd.read_sql_query("SELECT * FROM %s" % self.table, con=engine)
+
+        self.data = df
+
+        return df
+
+    def ttc_view_table(self, onlyClosed=False):
+        """
+        Returns all entries
+        Returns only those with Status as 'Closed' if onlyClosed is set to True
+        """
+        engine = db.create_engine(self.dbString)
+
+        # The following directly converts SQL data to json objects; for consistency, this function first converts the SQL data to pandas dataframe
+        # connection = engine.connect()
+        # query = "SELECT row_to_json(ingest_staging_table) \
+        #     FROM ingest_staging_table"
+        # result = connection.execute(query)
+        # connection.close()
+
+        if onlyClosed:
+            df = pd.read_sql_query(
+                "SELECT * FROM %s WHERE Status = 'Closed'" % self.table, con=engine)
+        else:
+            df = pd.read_sql_query("SELECT * FROM %s" % self.table, con=engine)
+
+        return df.to_json(orient='index')
+
+    def ttc_view_dates(self, serviced=False):
+        """
+        Returns all rows under the CreatedDate and ClosedDate columns in human-readable format
+        Returns all rows with a service date under CreatedDate, ClosedDate, and ServicedDate columns if serviced is True
+        """
+        engine = db.create_engine(self.dbString)
+
+        if serviced:
+            df = pd.read_sql_query(
+                "SELECT createddate, closeddate, servicedate FROM %s" % self.table, con=engine)
+            df = df[df['servicedate'].notnull()]
+        else:
+            df = pd.read_sql_query(
+                "SELECT createddate, closeddate FROM %s" % self.table, con=engine)
+
+        df['createddate'] = df['createddate'].apply(
+            lambda x: x.strftime('%m/%d/%Y %I:%M:%S %p'))
+
+        return df.to_json(orient='index')
+
+    def ttc_time_diff(self, serviced=False, all=False):
+        """
+        Returns the average time in days or hours for a specific request type to be completed
+        """
+        engine = db.create_engine(self.dbString)
+
+        if serviced:
+            df = pd.read_sql_query(
+                "SELECT createddate, closeddate, servicedate FROM %s" % self.table, con=engine)
+            df = df[df['servicedate'].notnull()]
+            df['servicedate'] = pd.to_datetime(df['servicedate'])
+            diff_df = pd.DataFrame(
+                df['servicedate'] - df['createddate'], columns=['time_to_service'])
+        else:
+            df = pd.read_sql_query(
+                "SELECT createddate, closeddate FROM %s" % self.table, con=engine)
+            diff_df = pd.DataFrame({'time_to_close': []})
+
+        df['createddate'] = pd.to_datetime(df['createddate'])
+        df['closeddate'] = pd.to_datetime(df['closeddate'])
+        diff_df['time_to_close'] = df['closeddate'] - df['createddate']
+
+        def dt_to_days(dt):
+            num_days = pd.Timedelta.total_seconds(dt)/(24.*3600)
+            if num_days <= .000001:
+                return 0
+            return pd.Timedelta.total_seconds(dt)/(24.*3600)
 
-        connection = engine.connect()
-        query = "SELECT row_to_json(row(status)) \
-            FROM ingest_staging_table"
-        result = connection.execute(query)
-        connection.close()
+        diff_df['time_to_close'] = diff_df.time_to_close.apply(dt_to_days) 
+        diff_df['time_to_service'] = diff_df.time_to_service.apply(dt_to_days) 
+
+        ### Todo: Convert unix time to strings displaying days
+        ### Todo: Return averages and min/max
+        ### Todo: Implement function for considering request type
 
-        return result
+        return diff_df.to_json(orient='index')
 
 if __name__ == "__main__":
     ttc = time_to_close()
     config = ConfigParser()
     config.read("../setting.cfg")
-    ttc.config   = config
+    ttc.config = config
     ttc.dbString = config['Database']['DB_CONNECTION_STRING']
-    ttc.ttc_query()
+    ttc.ttc_view_table()