api-request function, and plot test

src/my_package/get_data.py

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+# Import of needed libaries
+import requests
+import os
+from dotenv import load_dotenv
+import json
+import matplotlib.pyplot as plt
+
+load_dotenv()
+
+# Gets the key, from my env file
+API_KEY = os.getenv("API_KEY")
+
+# User input the city, for the weather
+city_name = input("Enter a city in Norway: ")
+country_code = "NO"
+
+# Temporarily standard times
+start = 1742079600
+end = 1742166000
+
+# Gets the data from the API - openweathermap.org
+def get_data():
+    # f-string url, to add the "custom" variables to the API-request
+    url = f"https://history.openweathermap.org/data/2.5/history/city?q={city_name},{country_code}&units=metric&type=hour&start={start}&end={end}&appid={API_KEY}"
+
+    # Saves the API-request for the url 
+    response = requests.get(url)
+
+    # Checks if the status code is OK
+    if response.status_code == 200:
+
+        # Converts the data into json
+        data = response.json()
+
+        # Ensure the 'data' folder exists in the root of the project
+        os.makedirs('data', exist_ok=True)  # Creates 'data' folder if it doesn't exist
+
+        # Write the JSON data to a file inside the 'data' folder
+        file_path = os.path.join('data', 'data.json')  # Creates 'data/data.json'
+
+        # Opens and write the data to a json file
+        with open(file_path, 'w') as json_file:
+            json.dump(data, json_file, indent=4)
+
+        # Prints when succed
+        print(f"Data has been written to {file_path}")
+
+        return data
+    else:
+        # If html status code != 200, print the status code
+        print("Failed to fetch data from API. Status code:", response.status_code)
+
+# Stores the data in the myData variable
+myData = get_data()
+
+# Empty dict for temperature
+temperature = {}
+
+# Iterates through myData dict, and add the dt (unix_time) and temp to temperature dict
+if "list" in myData:
+    for item in myData["list"]:
+        if "main" in item and "temp" in item["main"]:
+            temperature[item["dt"]] = (item["main"]["temp"])
+
+# print(temperature)
+
+# A test plot, to get a visual look of the data
+x_temp = temperature.keys()
+y_temp = temperature.values()
+
+plt.plot(x_temp, y_temp)
+plt.show()