🚀 Added Pipeline File

Analyser.py

@@ -22,22 +22,44 @@ geoId
 countryterritoryCode
 popData2018
 """
+from datetime import datetime, timedelta
 
 
 class Analyser:
 	# Pandas Settings
-	pd.set_option('display.max_row', 1000)
+	pd.set_option('display.max_row', 50)
 	pd.set_option('display.max_column', 10)
 
 	df = pd.read_csv('2020-03-28_11-00.csv', encoding='windows-1252')
 	df['dateRep'] = pd.to_datetime(df['dateRep'])
+	print(df['dateRep'].head())
 
 	def getAvailableCountries(self):
 		return self.df['countriesAndTerritories'].unique()
 
-	def germany_cases_graph(self):
+	def getCasesGraph(self, country) -> str:
+		"""
+		Get a graph with the absolute number of cases by day for the entered country
+		:param country: The country you wish to get the graph for
+		:return: The path for the picture of the graph
+		"""
 		fig = plt.figure()
 		ax = fig.add_subplot(111)
 
-		germanyData = self.df[self.df['countriesAndTerritories'].isin(['Germany'])]
+		countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
-		print(germanyData)
+		print(countryData['cases'].sum())
+
+		return 'abc'
+
+	def getTotalCases(self, country, date=datetime.now().strftime('%Y-%m-%d')) -> int:
+		"""
+		Get the current total cases for the entered country
+		:param country: The country you want the case number for
+		:param date: The date for which the case number is returned. Standard is the current date.
+		:return: The case number
+		"""
+		countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
+		finalData = pd.DataFrame
+		countryData.filter(datetime.strptime(country))
+		print(finalData)
+		return countryData['cases'].sum()

HttpRequestHandler.py

@@ -0,0 +1,12 @@
+# -*- coding: utf-8 -*-
+"""
+Project: Analyse worldwide COVID-19 Data and provide graphs etc.
+
+@author Patrick Müller
+"""
+import socketserver
+from http.server import BaseHTTPRequestHandler
+
+class HttpRequestHandler(BaseHTTPRequestHandler):
+	def do_GET(self):
+		print('hello')

Main.py

@@ -9,5 +9,5 @@ import Analyser as ana
 
 if __name__ == '__main__':
 	analyser = ana.Analyser()
-	analyser.germany_cases_graph()
+	country = input('What country do you want the graph for: ')
-	print(analyser.getAvailableCountries())
+	analyser.getTotalCases(country, '2020-03-27')

bitbucket-pipelines.yml

@@ -0,0 +1,31 @@
+# This is a sample build configuration for Other.
+# Check our guides at https://confluence.atlassian.com/x/5Q4SMw for more examples.
+# Only use spaces to indent your .yml configuration.
+# -----asd
+# You can specify a custom docker image from Docker Hub as your build environment.
+image: atlassian/default-image:2
+
+pipelines:
+  branches:
+    master:
+      - step:
+          deployment: production
+          script:
+            - echo "Running deployment to production"
+            - pipe: atlassian/sftp-deploy:0.5.2
+              variables:
+                USER: $SFTP_Username
+                SERVER: $SFTP_Host_Path
+                REMOTE_PATH: $SFTP_Production_Path
+                PASSWORD: $SFTP_Password
+#    feature:
+#      - step:
+#          deployment: test
+#          script:
+#            - echo "Running deployment to test"
+#            - pipe: atlassian/sftp-deploy:0.5.2
+#              variables:
+#                USER: $SFTP_Username
+#                SERVER: $SFTP_Host_Path
+#                REMOTE_PATH: $SFTP_TestPath
+#                PASSWORD: $SFTP_Password