[main] Prod Creds

inspiration/TingSomSkalTilføjes/FlightPlain.py

@@ -96,7 +96,7 @@ class AmadeusClient:
 		"""
 		Get a summary of the flight details for a specific date, origin, and destination.
 
-		:param departure_date: The date of travel in YYYY-MM-DD format.
+		:param departure_date: The date oxxf travel in YYYY-MM-DD format.
 		:param origin: The IATA code for the origin location.
 		:param destination: The IATA code for the destination location.
 		:return: Formatted flight summary string.
@@ -117,45 +117,32 @@ class AmadeusClient:
 		last_arrival = parsed_flights[-1]["arrival"]["iataCode"]
 
 		#return f"{departure_date}: {first_departure} -> {last_arrival} - {average_price:.2f}"
-		return {"departure_date":departure_date,  "departure": first_departure, "arrival": last_arrival,"price": average_price}
+		return {"departure_date":departure_date,  "departure": first_departure, "arrival": last_arrival,"price": average_price,"note":"Success"}
 
 # Example usage
 if __name__ == "__main__":
 	cd = CalenderMaker()
-	travel_days = cd.get_dates(year = 2025, dest_day="Thursday", orgin_day="Tuesday")
+	travel_days = cd.get_dates(year = 2025, dest_day="Friday", orgin_day="Wednesday")
 	amadeus_client = AmadeusClient( prod = True)
 	import csv
 
 	with open( "summery.txt", 'w' ) as fp, open( 'data_csv.csv', "w" ) as fp2:
-		writer = csv.DictWriter( fp2, fieldnames = ['orgin', 'dest', 'date', 'price','note'] )
+		writer = csv.DictWriter( fp2, fieldnames = ['departure_date', 'departure', 'arrival', 'price','note'] )
 		writer.writeheader()
 		for days in travel_days:
-			origin = days['orgin']
-			destination = days['dest']
-			departure_date = days['date']
 			try:
 				try:
-					summary = amadeus_client.get_flight_summary( departure_date, origin, destination )
 
+					#summary = amadeus_client.get_flight_summary( days['date'], days['departure'], days['arrival'] )
+					summary = amadeus_client.get_flight_summary( days['date'], days['departure'], days['arrival'] )
 					print(summary)
-					writer.writerow( {
-						"orgin": summary["departure_date"],
-						"dest": summary["departure"],
-						"date": summary["arrival"],
-						"price": summary['price'],
-						"note": ""
-					} )
+					writer.writerow({ "departure_date":summary['departure_date'], "departure":summary['departure'], "arrival":summary['arrival'], "price":summary['price'], "note":summary['note'] } )
 					fp.writelines( str(summary) + '\n' )
 				except Exception as e:
-					print( f"Error fetching flight summary for {origin} -> {destination} on {departure_date}" )
-					writer.writerow( {
-						"orgin": origin,
-						"dest": destination,
-						"date": departure_date,
-						"price": 214.0,
-						"note": "False - Flight not found"
-					} )
-					pass
+					#raise e
+					#print( f"Error fetching flight summary for {origin} -> {destination} on {departure_date}" )
+					writer.writerow({ "departure_date":days['date'], "departure":days['departure'], "arrival":days['arrival'], "price":250, "note":"Not fetched - Failed" } )
+
 			except ResponseError as error:
 				print( f"An error occurred: {error}" )
 
@@ -166,8 +153,8 @@ if __name__ == "__main__":
 		df.to_excel( writer, sheet_name = 'Sheet1', index = False )
 
 		# Calculate the average monthly data
-		df['date'] = pd.to_datetime( df['date'] )
-		df['month'] = df['date'].dt.to_period( 'M' )
+		df['departure_date'] = pd.to_datetime( df['departure_date'] )
+		df['month'] = df['departure_date'].dt.to_period( 'M' )
 		avg_monthly_data = df.groupby( 'month' )['price'].mean().reset_index()
 		avg_monthly_data.columns = ['Month', 'Average Price']