catch ConnectionError and more general exceptions in the scraper

scraper.py

@@ -20,14 +20,28 @@ def scrape_life_expectancy(country: str) -> int:
     widget_url = 'https://databank.worldbank.org/data/views/reports/reportwidget.aspx'
     report_url = f'?Report_Name=CountryProfile&Id=b450fd57&tbar=y&dd=y&inf=n&zm=n&country={country}'
     data_url = widget_url + report_url
-
-    response = requests.get(data_url)
-
     onclick_value = "loadMetaData('SP.DYN.LE00.IN','S','Series','Life expectancy at birth, total (years)','2','1801')"
-    life_expectancy_years = BeautifulSoup(response.text, 'html.parser') \
-                                            .find(attrs={'onclick': onclick_value}) \
-                                            .parent \
-                                            .find_all('td')[-1] \
-                                            .find('div').get_text()
+    life_expectancy_years = None
+
+    try:
+        response = requests.get(data_url)
+        life_expectancy_years = BeautifulSoup(response.text, 'html.parser') \
+                                                .find(attrs={'onclick': onclick_value}) \
+                                                .parent \
+                                                .find_all('td')[-1] \
+                                                .find('div').get_text()
+    except requests.exceptions.ConnectionError:
+        print('Couldn\'t reach the World Bank server, pal, fix your connection for the most recent data.')
+        print('Using locally stored 2016 data for countries instead.')
+    except requests.exceptions.RequestException as e:
+        print(e)
 
     return life_expectancy_years
+
+
+def store_scraped_data_in_file():
+    """
+    Evoke this function to manually store the scraped data locally, for cases when there's no Internet connection.
+    The dict with key-value (country-life_expectancy) pairs will be stored in countries.txt
+    """
+    pass