Update scraper.py

scraper.py

@@ -1,37 +1,13 @@
 # scraper.py
-import urllib3
+import requests
 from bs4 import BeautifulSoup
 
-def fetch_tariff_from_url(url, load_type):
-    """Scrape the website to fetch tariff based on load type."""
-    try:
-        http = urllib3.PoolManager()
-        response = http.request("GET", url)
-        if response.status == 200:
-            soup = BeautifulSoup(response.data, 'html.parser')
-            tariff_text = soup.get_text()
+def fetch_tariff_data(url):
+    response = requests.get(url)
+    soup = BeautifulSoup(response.text, 'html.parser')
+    tariff_data = parse_tariff_data(soup)
+    return tariff_data
 
-            load_type_mapping = {
-                "Domestic": "A-1 GENERAL SUPPLY TARIFF RESIDENTIAL",
-                "Commercial": "A-2 GENERAL SUPPLY TARIFF COMMERCIAL",
-                "Industrial": "B - INDUSTRIAL SUPPLY TARIFFS",
-                "Agriculture": "D - AGRICULTURE TARIFF"
-            }
-
-            load_type_label = load_type_mapping.get(load_type, None)
-
-            if load_type_label:
-                start_idx = tariff_text.find(load_type_label)
-                if start_idx != -1:
-                    tariff_section = tariff_text[start_idx:start_idx+1000]
-                    rates = [float(word) for word in tariff_section.split() if word.replace(".", "").isdigit()]
-                    if rates:
-                        return rates[0]
-                print(f"No tariff data found for {load_type_label}.")
-            else:
-                print("Invalid load type selected.")
-        else:
-            print(f"Failed to fetch data. HTTP Status: {response.status}")
-    except Exception as e:
-        print(f"Error scraping website: {e}")
-    return None
+def parse_tariff_data(soup):
+    # Implement based on the specific structure of the HTML page
+    pass