feat: add current and highest rating

app.py

@@ -104,6 +104,14 @@ def get_num_competitions_played(df: pd.DataFrame, is_tournament: bool) -> int:
     return df[key_name].nunique()
 
 
+def get_current_rating(df: pd.DataFrame) -> int:
+    return df.rating.iloc[0]
+
+
+def get_max_rating(df: pd.DataFrame) -> int:
+    return df.rating.max()
+
+
 def get_matches_per_competition_fig(df: pd.DataFrame, is_tournament: bool):
     fig = plt.figure()
     plt.title('Matches per competition')
@@ -242,6 +250,8 @@ def usatt_rating_analyzer(file_obj):
     df, is_tournament = load_match_df(Path(file_obj.name))
 
     # Create outputs.
+    current_rating = get_current_rating(df)
+    peak_rating = get_max_rating(df)
     n_competitions_played = get_num_competitions_played(df, is_tournament)
     n_matches_played = len(df)
     matches_per_competition_fig = get_matches_per_competition_fig(df, is_tournament)
@@ -256,7 +266,9 @@ def usatt_rating_analyzer(file_obj):
     opponent_rating_distr_fig = get_opponent_rating_distr_fig(df)
     opponent_rating_dist_over_time_fig = get_opponent_rating_dist_over_time_fig(df, is_tournament)
 
-    return (n_competitions_played,
+    return (current_rating,
+            peak_rating,
+            n_competitions_played,
             n_matches_played,
             matches_per_competition_fig,
             opponent_name_word_cloud_fig,
@@ -292,6 +304,10 @@ with gr.Blocks() as demo:
 
     with gr.Group():
         with gr.Row():
+            with gr.Column():
+                current_rating_box = gr.Textbox(lines=1, label="Current rating")
+            with gr.Column():
+                peak_rating_box = gr.Textbox(lines=1, label="Highest rating")
             with gr.Column():
                 num_comps_box = gr.Textbox(lines=1, label="Number of competitions (tournaments/leagues) played")
             with gr.Column():
@@ -328,6 +344,8 @@ with gr.Blocks() as demo:
 
     inputs = [input_file]
     outputs = [
+        current_rating_box,
+        peak_rating_box,
         num_comps_box,
         num_matches_box,
         matches_per_comp_plot,