diff --git a/inspiration/Links b/inspiration/Links
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--- /dev/null
+++ b/inspiration/Links
@@ -0,0 +1,7 @@
+https://www.flytap.com/en-dk/miles-and-go/statuses#gold
+https://www.flytap.com/en-dk/miles-and-go/club
+
+
+Nå! - skal vi prøve og lægge et rejse budget til portugal.
+Lad os antage jeg rejser i alle ulige uger, Onsdag morgen  (fra Porto) til Fredag aften (Til Porto).
+Lad os også antage at jeg flyver med begge programmer. Lad os prøve og lave et årligt budget som jeg kan bruge i excel
\ No newline at end of file
diff --git a/inspiration/TingSomSkalTilføjes/CalenderMaker.py b/inspiration/TingSomSkalTilføjes/CalenderMaker.py
new file mode 100644
index 0000000..85bbfdc
--- /dev/null
+++ b/inspiration/TingSomSkalTilføjes/CalenderMaker.py
@@ -0,0 +1,30 @@
+import calendar
+from datetime import date, timedelta
+
+def skriv_datoer_med_formattering(år):
+	start_dato = date(år, 1, 1)
+	slut_dato = date(år, 12, 29)
+	dags_differens = timedelta(days=1)
+
+	print(f"Datoer for året {år}:\n")
+
+	nuværende_dato = start_dato
+	while nuværende_dato <= slut_dato:
+		ugenummer = nuværende_dato.isocalendar()[1]
+		ugedag = nuværende_dato.strftime("%A")
+
+		if ugenummer % 2 != 0 and ugedag in ["Friday", "Wednesday"]:
+			# Tabuler outputtet længere ind
+			if ugedag == "Friday":
+				print(f"{nuværende_dato.strftime('%Y-%m-%d')} Til Porto fra København")
+			if ugedag == "Wednesday":
+				print(f"{nuværende_dato.strftime('%Y-%m-%d')} Til København fra Porto")
+
+
+		# else:
+		# 	print(f"{nuværende_dato.strftime('%Y-%m-%d')} ({ugedag})")
+
+		nuværende_dato += dags_differens
+
+# Kald funktionen med det ønskede år
+skriv_datoer_med_formattering(2025)
diff --git a/inspiration/TingSomSkalTilføjes/Filtered_Flights.xlsx b/inspiration/TingSomSkalTilføjes/Filtered_Flights.xlsx
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index 0000000..69409c1
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diff --git a/inspiration/TingSomSkalTilføjes/Filtered_Flights_OPO_CPH.xlsx b/inspiration/TingSomSkalTilføjes/Filtered_Flights_OPO_CPH.xlsx
new file mode 100644
index 0000000..4551f51
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diff --git a/inspiration/TingSomSkalTilføjes/flight_filter.py b/inspiration/TingSomSkalTilføjes/flight_filter.py
new file mode 100644
index 0000000..ae6335d
--- /dev/null
+++ b/inspiration/TingSomSkalTilføjes/flight_filter.py
@@ -0,0 +1,177 @@
+from pprint import pprint
+from amadeus import Client, ResponseError
+import pandas as pd
+from datetime import datetime, timedelta
+import json
+
+
+class FlightFilter:
+	def __init__(self, api_key, api_secret):
+		self.amadeus = Client(client_id=api_key, client_secret=api_secret)
+
+	def get_flight_offers(self, request_body):
+		"""
+		Fetch flight offers using the Amadeus SDK with a JSON request body.
+		"""
+		try:
+			print("Fetching flight offers with the provided request body...")
+			response = self.amadeus.shopping.flight_offers_search.post(request_body)
+			return response.data
+		except (ResponseError, Exception) as error:
+			print(f"Error fetching flight offers: {error}")
+			return []
+
+	def filter_and_average_price(flights, morning_departure, evening_departure, morning_hours = 2, evening_hours = 2):
+		"""
+		Filters flights:
+		- Morning departures from OPO.
+		- Evening departures from CPH.
+		- Calculates the average price of the matched trips.
+		"""
+		morning_time = datetime.strptime( morning_departure, "%H:%M" )
+		evening_time = datetime.strptime( evening_departure, "%H:%M" )
+
+		morning_start = morning_time - timedelta( hours = morning_hours )
+		morning_end = morning_time + timedelta( hours = morning_hours )
+		evening_start = evening_time - timedelta( hours = evening_hours )
+		evening_end = evening_time + timedelta( hours = evening_hours )
+
+		morning_flights = []
+		evening_flights = []
+
+		for offer in flights:
+			for itinerary in offer.get( "itineraries", [] ):
+				for segment in itinerary.get( "segments", [] ):
+					departure_time = datetime.strptime( segment["departure"]["at"], "%Y-%m-%dT%H:%M:%S" )
+					origin = segment["departure"]["iataCode"]
+					destination = segment["arrival"]["iataCode"]
+
+					# Morning flights from OPO
+					if (
+							origin == "OPO" and destination == "CPH"
+							and morning_start.time() <= departure_time.time() <= morning_end.time()
+					):
+						morning_flights.append( {
+							"Flight ID": offer["id"],
+							"Price (EUR)": float( offer["price"]["total"] ),
+							"Departure Time": segment["departure"]["at"],
+							"Arrival Time": segment["arrival"]["at"],
+						} )
+
+					# Evening flights from CPH
+					elif (
+							origin == "CPH" and destination == "OPO"
+							and evening_start.time() <= departure_time.time() <= evening_end.time()
+					):
+						evening_flights.append( {
+							"Flight ID": offer["id"],
+							"Price (EUR)": float( offer["price"]["total"] ),
+							"Departure Time": segment["departure"]["at"],
+							"Arrival Time": segment["arrival"]["at"],
+						} )
+
+		# Calculate average prices
+		morning_prices = [flight["Price (EUR)"] for flight in morning_flights]
+		evening_prices = [flight["Price (EUR)"] for flight in evening_flights]
+
+		average_morning_price = sum( morning_prices ) / len( morning_prices ) if morning_prices else 0
+		average_evening_price = sum( evening_prices ) / len( evening_prices ) if evening_prices else 0
+
+		return {
+			"Morning Flights": morning_flights,
+			"Evening Flights": evening_flights,
+			"Average Morning Price (EUR)": average_morning_price,
+			"Average Evening Price (EUR)": average_evening_price,
+		}
+
+		return filtered_flights
+
+	def save_to_excel(self, lis_flights, cph_flights, filename):
+		"""Save flights from LIS and CPH into separate blocks in an Excel sheet."""
+		with pd.ExcelWriter( filename, engine = "openpyxl" ) as writer:
+			# Check for OPO → CPH flights
+			if lis_flights:
+				lis_df = pd.DataFrame( lis_flights )
+				lis_df.sort_values( by = "Departure Time", inplace = True )
+				lis_df.to_excel( writer, sheet_name = "Flights", startrow = 1, index = False )
+				writer.sheets["Flights"].cell( row = 1, column = 1 ).value = "Departures from OPO around 07:00"
+			else:
+				print( "No flights found from OPO to CPH." )
+
+			# Check for CPH → OPO flights
+			if cph_flights:
+				cph_df = pd.DataFrame( cph_flights )
+				cph_df.sort_values( by = "Departure Time", inplace = True )
+				cph_df.to_excel( writer, sheet_name = "Flights", startrow = len( lis_flights ) + 4, index = False )
+				writer.sheets["Flights"].cell( row = len( lis_flights ) + 4,
+				                               column = 1 ).value = "Departures from CPH around 18:30"
+			else:
+				print( "No flights found from CPH to OPO." )
+
+			# If no data exists, add a placeholder sheet
+			if not lis_flights and not cph_flights:
+				print( "No flight data available. Adding placeholder sheet." )
+				pd.DataFrame( { "Message": ["No flights found"] } ).to_excel( writer, sheet_name = "Flights",
+				                                                              index = False )
+
+		print( f"Filtered flights saved to: {filename}" )
+
+
+# Usage example
+if __name__ == "__main__":
+	api_key = "uxDqIh36xPAUvpXnXynwAnH86pGBdIch"
+	api_secret = "xTSLooNZpJWantb5"
+
+	flight_filter = FlightFilter(api_key, api_secret)
+
+	# JSON request body
+	request_body = {
+		"currencyCode": "EUR",
+		"originDestinations": [
+			{
+				"id": "1",
+				"originLocationCode": "OPO",
+				"destinationLocationCode": "CPH",
+				"departureDateTimeRange": {
+					"date": "2025-03-03",
+					"time": "06:00:00"
+				}
+			},
+			{
+				"id": "2",
+				"originLocationCode": "CPH",
+				"destinationLocationCode": "OPO",
+				"departureDateTimeRange": {
+					"date": "2025-03-06",
+					"time": "20:30:00"
+				}
+			}
+		],
+		"travelers": [
+			{"id": "1", "travelerType": "ADULT"}
+		],
+		"sources": ["GDS"],
+		"searchCriteria": {
+			"excludeAllotments": True,
+			"addOneWayOffers": False,
+			"maxFlightOffers": 10,
+			"allowAlternativeFareOptions": True,
+		}
+	}
+
+	# Fetch flights
+	flights = flight_filter.get_flight_offers(request_body)
+	print(f"Raw flights data: {flights}")
+
+	# Filter flights from OPO to CPH around 07:00 ± 1 hour
+	opo_to_cph_flights = flight_filter.filter_flights_by_time(
+		flights, origin_filter="OPO", destination_filter="CPH", filter_time_str="06:00", hours=2
+	)
+
+	# Filter flights from CPH to OPO around 18:30 ± 1 hour
+	cph_to_opo_flights = flight_filter.filter_flights_by_time(
+		flights, origin_filter="CPH", destination_filter="OPO", filter_time_str="20:30", hours=2
+	)
+
+	# Save to Excel
+	flight_filter.save_to_excel(opo_to_cph_flights, cph_to_opo_flights, "Filtered_Flights_OPO_CPH.xlsx")
diff --git a/inspiration/TingSomSkalTilføjes/new_flight.py b/inspiration/TingSomSkalTilføjes/new_flight.py
new file mode 100644
index 0000000..6a27ab0
--- /dev/null
+++ b/inspiration/TingSomSkalTilføjes/new_flight.py
@@ -0,0 +1,111 @@
+from amadeus import Client, ResponseError
+import pandas as pd
+
+
+class FlightFilter:
+	def __init__(self, api_key, api_secret):
+		self.amadeus = Client(client_id=api_key, client_secret=api_secret)
+
+	def get_flight_offers(self, request_body):
+		try:
+			print("Fetching flight offers with the provided request body...")
+			response = self.amadeus.shopping.flight_offers_search.post(request_body)
+			return response.data
+		except ResponseError as error:
+			print(f"Error fetching flight offers: {error}")
+			print("Response Details:", error.response.body)  # Add this line for detailed error logging
+			return []
+
+	def filter_flights(self, flights, origin, destination):
+		"""
+		Filters flights by origin and destination.
+		"""
+		filtered_flights = []
+		for offer in flights:
+			for itinerary in offer.get("itineraries", []):
+				for segment in itinerary.get("segments", []):
+					segment_origin = segment["departure"]["iataCode"]
+					segment_destination = segment["arrival"]["iataCode"]
+
+					# Check if the flight matches the filters
+					if segment_origin == origin and segment_destination == destination:
+						filtered_flights.append({
+							"Flight ID": offer["id"],
+							"Price (EUR)": float(offer["price"]["total"]),
+							"Departure Time": segment["departure"]["at"],
+							"Arrival Time": segment["arrival"]["at"],
+						})
+
+		return filtered_flights
+
+	def calculate_average_price(self, flights):
+		"""
+		Calculate the average price of a list of flights.
+		"""
+		prices = [flight["Price (EUR)"] for flight in flights]
+		return sum(prices) / len(prices) if prices else 0
+
+	def save_to_excel(self, filtered_flights, filename):
+		"""
+		Save filtered flights to an Excel file.
+		"""
+		with pd.ExcelWriter(filename, engine="openpyxl") as writer:
+			if filtered_flights:
+				flights_df = pd.DataFrame(filtered_flights)
+				flights_df.to_excel(writer, sheet_name="Flights", index=False)
+				print(f"Filtered flights saved to {filename}")
+			else:
+				print("No flights found.")
+
+
+# Usage Example
+if __name__ == "__main__":
+	# Replace these with your Amadeus API credentials
+	api_key = "uxDqIh36xPAUvpXnXynwAnH86pGBdIch"
+	api_secret = "xTSLooNZpJWantb5"
+
+	# Initialize the FlightFilter
+	flight_filter = FlightFilter(api_key, api_secret)
+
+	# Request body for the API call
+	request_body = {
+		"currencyCode": "EUR",
+		"originDestinations": [
+			{
+				"id": "1",
+				"originLocationCode": "OPO",
+				"destinationLocationCode": "CPH",
+				"departureDateTimeRange": {"date": "2025-03-03", "time": "06:00:00"},
+			},
+			{
+				"id": "2",
+				"originLocationCode": "CPH",
+				"destinationLocationCode": "OPO",
+				"departureDateTimeRange": {"date": "2025-03-06", "time": "20:30:00"},
+			},
+		],
+		"travelers": [{"id": "1", "travelerType": "ADULT"}],
+		"sources": ["GDS"],
+	}
+
+	# Fetch flight offers
+	flights = flight_filter.get_flight_offers(request_body)
+	print(flights)
+
+	# Filter flights by origin and destination
+	opo_to_cph_flights = flight_filter.filter_flights(flights, "OPO", "CPH")
+	cph_to_opo_flights = flight_filter.filter_flights(flights, "CPH", "OPO")
+
+	# Calculate average prices
+	avg_opo_to_cph_price = flight_filter.calculate_average_price(opo_to_cph_flights)
+	avg_cph_to_opo_price = flight_filter.calculate_average_price(cph_to_opo_flights)
+
+	# Output results
+	print("Flights (OPO → CPH):", opo_to_cph_flights)
+	print("Flights (CPH → OPO):", cph_to_opo_flights)
+	print(f"Average OPO → CPH Price: {avg_opo_to_cph_price} EUR")
+	print(f"Average CPH → OPO Price: {avg_cph_to_opo_price} EUR")
+
+	# Save to Excel
+	all_flights = opo_to_cph_flights + cph_to_opo_flights
+	flight_filter.save_to_excel(all_flights, "Filtered_Flights.xlsx")