[F] Fix A3 P2.2 rating typing

assignments/A3/a3_part1.py

@@ -229,6 +229,21 @@ class Graph:
             - book in self._vertices
             - self._vertices[book].kind == 'book'
             - limit >= 1
+
+        >>> my_graph = load_review_graph('data/reviews_full.csv', 'data/book_names.csv')
+        >>> title = "Harry Potter and the Sorcerer's Stone (Book 1)"
+        >>> import pprint
+        >>> pprint.pprint(my_graph.recommend_books(title, 10))
+        ['The Casual Vacancy',
+         'Harry Potter and the Chamber of Secrets',
+         'Harry Potter and the Prisoner of Azkaban',
+         'Harry Potter and the Chamber of Secrets, Book 2',
+         'Harry Potter and the Deathly Hallows, Book 7',
+         'Harry Potter And The Goblet Of Fire',
+         'Harry Potter And The Order Of The Phoenix',
+         'Harry Potter and the Half-Blood Prince (Book 6)',
+         "The Cuckoo's Calling (Cormoran Strike)",
+         'Fellowship of the Ring (Lord of the Rings Part 1)']
         """
         book = self._vertices[book]  # vertex is more useful here
         books = set()  # all books distance == 2 away from self

assignments/A3/a3_part2_recommendations.py

@@ -257,17 +257,23 @@ def load_weighted_review_graph(reviews_file: str, book_names_file: str) -> Weigh
           format described on the assignment handout
     """
     g = WeightedGraph()
-    mp = {}  # maps book ID to book name
+
+    # mp[book_id] = book_name
+    mp: dict[str, str]
+
+    # Read book names file and create id-name mapping
     with open(book_names_file, 'r', newline='', encoding='UTF-8') as f:
         reader = csv.reader(f)
-        for row in reader:
+        mp = {book_id: name for book_id, name in reader}
-            mp[row[0]] = row[1]
+
+    # Read user review file and link user and reviews in the graph
     with open(reviews_file, 'r', newline='', encoding='UTF-8') as f:
         reader = csv.reader(f)
-        for row in reader:
+        for user_id, book_id, rating in reader:
-            g.add_vertex(row[0], 'user')
+            g.add_vertex(user_id, 'user')
-            g.add_vertex(mp[row[1]], 'book')
+            g.add_vertex(mp[book_id], 'book')
-            g.add_edge(row[0], mp[row[1]], row[2])
+            g.add_edge(user_id, mp[book_id], int(rating))
+
     return g