Add history for station

history.py

+import matplotlib.pyplot as plt
+from cassandra.cluster import Cluster
+from datetime import datetime
+
+table_name = "data"
+numeric_columns = ["lon","lat","tmpf","dwpf","relh","drct","sknt","p01i","alti","mslp","vsby","gust","skyl1","skyl2","skyl3","skyl4","feel","ice_accretion_1hr","ice_accretion_3hr","ice_accretion_6hr","peak_wind_gust","peak_wind_drct","peak_wind_time"]
+
+cluster = Cluster()
+session = cluster.connect()
+session.set_keyspace("bazinsim_roisinos_metar")
+
+def getHistory(station, indicator):
+	datas = session.execute(f"SELECT year, month, day, hour, minute, {indicator} FROM {table_name} where station = '{station}'")
+	# for t in datas:
+	# 	print(t[0])
+	return datas
+
+def plotHistory(station, indicator):
+	if indicator in numeric_columns:
+		table = getHistory(station, indicator)
+
+		if not table:
+			print(f"Aucune donnée pour la station {station} et pour l'indicateur {indicator}")
+			return
+
+		table_date = {}
+		for r in table:
+			if (r[len(r) - 1] != None):
+				date = datetime.strptime(str(r[0]) + "-" + str(r[1]) + "-" + str(r[2]), '%Y-%m-%d').date()
+				if date not in table_date.keys():
+					table_date[date] = 0,0
+				table_date[date] = (table_date[date][0] + r[len(r) - 1], table_date[date][1] + 1)
+
+		for d in table_date.keys():
+			table_date[d] = table_date[d][0] / table_date[d][1]
+
+		currentDateTime = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+		file_name = str(currentDateTime) + "_" + station + "_" + indicator + ".png"
+
+		plt.plot_date(table_date.keys(), table_date.values(), '-', xdate = True)
+		plt.title(f"Evolution de {indicator} pour la station {station}")
+		plt.xlabel('Date')
+		plt.ylabel(indicator)
+		plt.savefig(file_name)
+	else:
+		print("Les données pour cet indicateur ne sont pas numériques, impossible de tracer un graphique")
+
+plotHistory("EFKI", "tmpf")
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loading.py

@@ -3,6 +3,7 @@ import csv
 import re
 
 FILE_NAME = "asos.txt"
+table_name = "data"
 
 # Country: Finland
 # Dates : 2001 to 2010
@@ -256,7 +257,7 @@ def createTableQuery(table):
 			peak_wind_drct    	decimal,
 			peak_wind_time    	decimal,
 			metar             	varchar,
-			PRIMARY KEY(station)
+			PRIMARY KEY((station), year, month, day, hour, minute)
 		)"""
 	return query
 
@@ -319,7 +320,6 @@ dict = loadata(FILE_NAME)
 
 # # --------------------------------------------------------
 # # A faire seulement 1 fois pour charger les données
-# table_name = "data"
 # session.execute(dropTableQuery(table_name))
 # print(f"Table {table_name} dropped")
 # session.execute(createTableQuery(table_name))
@@ -329,6 +329,4 @@ dict = loadata(FILE_NAME)
 # for d in dict:
 # 	session.execute(insertQueryData(d, table_name))
 # print(f"Datas inserted into {table_name}")
-# # --------------------------------------------------------
-
-
+# # --------------------------------------------------------
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