Hot Fix for Fuzzy Join (#939)

This is a hot fix for Fuzzy Join test cases. For long term, the current
use case that fuzzy joins on id column does not make sense. We need a
better example.


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evadb/udfs/ndarray/fuzzy_join.py

@@ -34,5 +34,7 @@ def forward(self, df: pd.DataFrame) -> pd.DataFrame:
             ret (pd.DataFrame): The cropped frame.
         """
         ret = pd.DataFrame()
-        ret["distance"] = df.apply(lambda row: fuzz.ratio(row[0], row[1]), axis=1)
+        ret["distance"] = df.apply(
+            lambda row: fuzz.ratio(str(row[0]), str(row[1])), axis=1
+        )
         return ret

test/integration_tests/test_fuzzy_join.py

@@ -75,6 +75,7 @@ def tearDown(self):
     def test_fuzzyjoin(self):
         execute_query_fetch_all(self.evadb, fuzzy_udf_query)
 
+        # TODO this test does not make sense. Need to improve
         fuzzy_join_query = """SELECT * FROM MyVideo a JOIN MyVideoCSV b
                       ON FuzzDistance(a.id, b.id) = 100;"""