Fetch your local weather

At the start of this project, you fetched all the Weather Stations that are currently registered. The data came in as a huge list of dictionaries. By iterating through this list, you can pick out the longitude and latitude of the Weather Stations, and then run it through your haversine function to find the closest one.
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Create a new Python file (File > New File)
Save the file as fetch_local_weather.py and make sure you save it in the same directory as your haversine.py file.
Start by importing the requests, json, and pprint modules that you used before, but you can now also import your haversine function:
```
from requests import get
import json
from pprint import pprint
from haversine import haversine
```

Previously you used two URLs to get the Weather Stations and the latest weather. You can declare these variables straight away:

stations = 'https://apex.oracle.com/pls/apex/raspberrypi/weatherstation/getallstations'
weather = 'https://apex.oracle.com/pls/apex/raspberrypi/weatherstation/getlatestmeasurements/'

The second URL isn’t complete, as you need to add the weather station ID to the end. You’re going to do that in code.

Now add in variables for your current longitude and latitude, that you found using Google Maps:
```
my_lat = 52.194504
my_lon = 0.134708
```
To finish off this section, you can fetch the list of all stations, just like you did in Worksheet One:
```
all_stations = get(stations).json()['items']
```