import streamlit as st import pandas as pd import streamlit_common.footer import streamlit_common.lib as lib import streamlit_common.locale mslist_path = "output/middleschool_extra_fields.csv" _ = streamlit_common.locale.get_locale() if "number_shown_results" not in st.session_state: st.session_state["number_shown_results"] = 20 def add_more_results(): st.session_state["number_shown_results"] += 20 def reset_more_results(): st.session_state["number_shown_results"] = 20 st.set_page_config( page_title="MTG Middle School | Card Search", page_icon="🃏", layout="wide", ) lang = st.sidebar.radio( label="Language / 言語", options=["English", "日本語"], ) l = "ja" if lang == "日本語" else "en" st.write(f'# {_["search"]["title"][l]}') st.write(_["search"]["instructions"][l]) mslist_df = pd.read_csv(mslist_path) mslist_df.fillna("", inplace=True) st.write(f'**{mslist_df.shape[0]}**{_["search"]["cards_are_legal"][l]}') results_df = mslist_df # Filter by card name input_name = st.text_input( f'**{_["search"]["search_by_card_name"][l]}**', placeholder=_["search"]["search_by_card_name_placeholder"][l], ).strip() exact_match = lib.get_legal_cardnames(input_name, mslist_df) results_en_df = results_df[results_df["name"].str.contains(input_name, case=False)] results_ja_df = results_df[results_df["name_ja"].str.contains(input_name, case=False)] results_df = results_en_df.merge(results_ja_df, how="outer") # Filter by color ( colorcol0, colorcol1, colorcol2, colorcol3, colorcol4, colorcol5, colorcol6, ) = st.columns(7) colorcol0.write(f'**{_["search"]["search_by_color"][l]}**') if colorcol1.checkbox(_["basic"]["color_w"][l]): results_df = results_df[results_df["w"] == True] if colorcol2.checkbox(_["basic"]["color_u"][l]): results_df = results_df[results_df["u"] == True] if colorcol3.checkbox(_["basic"]["color_b"][l]): results_df = results_df[results_df["b"] == True] if colorcol4.checkbox(_["basic"]["color_r"][l]): results_df = results_df[results_df["r"] == True] if colorcol5.checkbox(_["basic"]["color_g"][l]): results_df = results_df[results_df["g"] == True] if colorcol6.checkbox(_["basic"]["color_c"][l]): results_df = results_df[results_df["c"] == True] col1, col2 = st.columns(2) # Filter by type (select) type_list = streamlit_common.locale.get_type_options() select_types = col1.multiselect( f'**{_["search"]["select_type"][l]}**', type_list[l], placeholder=_["search"]["select_type_placeholder"][l], ) for cardtype in select_types: type_to_search = cardtype if l == "ja": type_to_search = type_list["en"][type_list["ja"].index(cardtype)] results_df = results_df[results_df["type"].str.contains(type_to_search, case=False)] # Filter by type (text input) input_type = col2.text_input( f'**{_["search"]["search_by_type"][l]}**', placeholder=_["search"]["search_by_type_placeholder"][l], ).strip() results_df = results_df[results_df["type"].str.contains(input_type, case=False)] # Filter by text input_text = st.text_input( f'**{_["search"]["search_by_text"][l]}**', placeholder=_["search"]["search_by_text_placeholder"][l], ).strip() results_df = results_df[results_df["text"].str.contains(input_text, case=False)] if results_df.shape[0] < mslist_df.shape[0]: if exact_match[0]: cardname = exact_match[1] if exact_match[2] is not None: cardname = f"{cardname} / {exact_match[2]}" st.write( f'✅ [{cardname}]({lib.compose_scryfall_url(exact_match[1])}) {_["search"]["exact_match"][l]}' ) st.write(f'**{results_df.shape[0]}**{_["search"]["cards_found"][l]}') if results_df.shape[0] > st.session_state["number_shown_results"]: st.write(_["search"]["top_results"][l]) results_df["link"] = results_df["name"].apply(lib.compose_scryfall_url) results_df[: st.session_state["number_shown_results"]].transpose().apply( lib.row_to_link ) if results_df.shape[0] > st.session_state["number_shown_results"]: st.button(label=_["search"]["see_more"][l], on_click=add_more_results) if st.session_state["number_shown_results"] > 20: st.button( label=_["search"]["see_20"][l], on_click=reset_more_results, ) streamlit_common.footer.write_footer()