Notify the user if their card search was an exact match

Middle_School_Card_Search.py

@@ -4,14 +4,24 @@ import urllib.parse
 import streamlit_common.footer
 
 
-def compose_scryfall_url(x):
+def compose_scryfall_url(x: str) -> str:
     return f"https://scryfall.com/search?q=prefer%3Aoldest%20!%22{urllib.parse.quote_plus(x)}%22"
 
 
-def row_to_link(x):
+def row_to_link(x: pd.DataFrame) -> None:
     st.markdown(f"- [{x['name']} / {x.name_ja}]({x.link})")
 
 
+def is_legal(cardname: str) -> str:
+    english_match = mslist_df[mslist_df["name"].str.lower() == cardname.lower()]
+    if english_match.shape[0] > 0:
+        return english_match["name"].to_list()[0]
+    japanese_match = mslist_df[mslist_df["name_ja"] == cardname]
+    if japanese_match.shape[0] > 0:
+        return japanese_match["name_ja"].to_list()[0]
+    return None
+
+
 mslist_path = "output/middleschool.csv"
 number_shown_results = 20
 
@@ -32,7 +42,8 @@ mslist_df = pd.read_csv(mslist_path)
 mslist_df.fillna("", inplace=True)
 st.write(mslist_df.shape[0], "cards are legal")
 
-name_input = st.text_input(f"Search by card name")
+name_input = st.text_input(f"Search by card name").strip()
+exact_match = is_legal(name_input)
 results_en_df = mslist_df[
     mslist_df["name"].str.contains(name_input.lower(), case=False)
 ]
@@ -41,6 +52,10 @@ results_ja_df = mslist_df[
 ]
 results_df = results_en_df.merge(results_ja_df, how="outer")
 if name_input:
+    if exact_match is not None:
+        st.write(
+            f"✅ [{exact_match}]({compose_scryfall_url(exact_match)}) is an exact match"
+        )
     st.write(results_df.shape[0], f'cards found by "{name_input}"')
     if results_df.shape[0] > number_shown_results:
         st.write(f"Top {number_shown_results} results:")