Add tests for loading dataframe and least/most common number

tests/test_lottery_predictor_analyze.py

@@ -0,0 +1,25 @@
+import pytest
+import pandas as pd
+
+import lottery_predictor.analyze as analyze
+
+
+def test_load_dataframe() -> None:
+    assert int(analyze.load_dataframe(table_name='PowerballDraw').count()['draw_date']) >= 1324
+    assert int(analyze.load_dataframe(table_name='MegaMillionsDraw').count()['draw_date']) >= 95
+    with pytest.raises(ValueError):
+        analyze.load_dataframe(table_name='SomNonExistentTableName')
+
+
+def test_least_and_most_common_number() -> None:
+    pb_df = analyze.load_dataframe(table_name='PowerballDraw')
+    mm_df = analyze.load_dataframe(table_name='MegaMillionsDraw')
+    assert len(analyze.get_most_common_number(pb_df, top=5)) == 5
+    assert len(analyze.get_least_common_number(pb_df, bottom=5)) == 5
+    assert len(analyze.get_most_common_number(mm_df, top=5)) == 5
+    assert len(analyze.get_least_common_number(mm_df, bottom=5)) == 5
+
+    assert len(analyze.get_most_common_number(pb_df, columns=['powerball'], top=1)) == 1
+    assert len(analyze.get_least_common_number(pb_df, columns=['powerball'], bottom=1)) == 1
+    assert len(analyze.get_most_common_number(mm_df, columns=['mega_ball'], top=1)) == 1
+    assert len(analyze.get_least_common_number(mm_df, columns=['mega_ball'], bottom=1)) == 1