feat: Adding Flintshire County Council

fix: #750

uk_bin_collection/tests/input.json

@@ -484,6 +484,13 @@
         "url": "https://www.fenland.gov.uk/article/13114/",
         "wiki_name": "Fenland District Council"
     },
+    "FlintshireCountyCouncil": {
+        "url": "https://digital.flintshire.gov.uk",
+        "wiki_command_url_override": "https://digital.flintshire.gov.uk",
+        "uprn": "100100213710",
+        "wiki_name": "Flintshire County Council",
+        "wiki_note": "You will need to use [FindMyAddress](https://www.findmyaddress.co.uk/search) to find the UPRN."
+    },
     "ForestOfDeanDistrictCouncil": {
         "house_number": "ELMOGAL, PARKEND ROAD, BREAM, LYDNEY",
         "postcode": "GL15 6JT",

uk_bin_collection/uk_bin_collection/councils/FlintshireCountyCouncil.py

@@ -0,0 +1,60 @@
+import requests
+from bs4 import BeautifulSoup
+
+from uk_bin_collection.uk_bin_collection.common import *
+from uk_bin_collection.uk_bin_collection.get_bin_data import AbstractGetBinDataClass
+
+
+# import the wonderful Beautiful Soup and the URL grabber
+class CouncilClass(AbstractGetBinDataClass):
+    """
+    Concrete classes have to implement all abstract operations of the
+    base class. They can also override some operations with a default
+    implementation.
+    """
+
+    def parse_data(self, page: str, **kwargs) -> dict:
+
+        user_uprn = kwargs.get("uprn")
+        check_uprn(user_uprn)
+        bindata = {"bins": []}
+
+        URI = f"https://digital.flintshire.gov.uk/FCC_BinDay/Home/Details2/{user_uprn}"
+
+        # Make the GET request
+        response = requests.get(URI)
+
+        # Parse the HTML content
+        soup = BeautifulSoup(response.content, "html.parser")
+
+        # Adjust these tags and classes based on actual structure
+        # Example for finding collection dates and types
+        bin_collections = soup.find_all(
+            "div", class_="col-md-12 col-lg-12 col-sm-12 col-xs-12"
+        )  # Replace with actual class name
+
+        # Extracting and printing the schedule data
+        schedule = []
+        for collection in bin_collections:
+            dates = collection.find_all("div", class_="col-lg-2 col-md-2 col-sm-2")
+            bin_type = collection.find("div", class_="col-lg-3 col-md-3 col-sm-3")
+
+            if dates[0].text.strip() == "Date of Collection":
+                continue
+
+            bin_types = bin_type.text.strip().split(" / ")
+            date = dates[0].text.strip()
+
+            # Loop through the dates for each collection type
+            for bin_type in bin_types:
+
+                dict_data = {
+                    "type": bin_type,
+                    "collectionDate": date,
+                }
+                bindata["bins"].append(dict_data)
+
+        bindata["bins"].sort(
+            key=lambda x: datetime.strptime(x.get("collectionDate"), "%d/%m/%Y")
+        )
+        return bindata