app.py

import streamlit as st
import pandas as pd
import pathlib
import whoosh
import whoosh.index
import whoosh.query
import os
from datetime import date as Date
import re

DATA_FOLDER = pathlib.Path(__file__).parent / "Data"
RAW_FOLDER = DATA_FOLDER / "Transcription_raw"
INDEX_FOLDER = DATA_FOLDER / "Transcription_index"

class Searcher:
    def __init__(self):
        self.ix = self.make_total_ix()
        self.df_video_links = self.get_video_links()
        
    def make_total_ix(self):
        ixes_sub = []
        index_dir_list = os.listdir(INDEX_FOLDER)
        for name in index_dir_list:
            if name.startswith("sub"):
                ixes_sub.append(whoosh.index.open_dir(INDEX_FOLDER / name))
                
        ix = MultiIndexSearcher(ixes_sub)
                
        return ix
    
    def search(self, date_start, date_end, **kwargs):
        titles = self.ix.search(**kwargs)
        
        #(index, date, title)
        contents = []
        for title in titles:
            index = int(title.split("m")[0])
            row = self.df_video_links.iloc[index]
            title = row["title"]
            date = row["date"]
            date_datetime = Date(*map(int, date.split("/")))
            
            if not (date_start <= date_datetime <= date_end):
                continue
           
            contents.append((date_datetime, index, date, title))
        
        #order by date_datetime
        contents.sort()
        #remove date_datetime
        contents = [(index, date, title) for _, index, date, title in contents]
            
        return contents
            
    def get_video_links(self):
        return pd.read_csv(DATA_FOLDER / "video_links.csv", index_col=0)
        
    def get_content(self, index):
        #正規表現でRAW_FOLDERから「index-(数字).csv」のファイルを取得
        
        folder_list = os.listdir(RAW_FOLDER)
        pattern = re.compile(r"{}-\d+.csv".format(index)) 
        matched = [name for name in folder_list if pattern.match(name)]
        matched.sort()
        
        best = matched[-1]
        
        return pd.read_csv(RAW_FOLDER / best)
        
class MultiIndexSearcher:
    def __init__(self, ixes):
        self.ixes = ixes

    def search(self, **kwargs):
        titles = []
        for ix in self.ixes:
            with ix.searcher() as sub_searcher:
                hits = sub_searcher.search(**kwargs, limit = None)
                for hit in hits:
                    titles.append(hit["title"])
            
        return titles

searcher = Searcher()

def main():
    global searcher
    
    st.title("KATO DB")

    keyword = st.text_input(
        "検索したいキーワードを入力して、Enterを押してください\n"\
        "空欄だと全文書表示します。"
    )
    
    date_start = st.date_input(
        "検索したい開始日付を入力してください",
        Date(2009, 1, 1)
    )
    
    date_end = st.date_input(
        "検索したい終了日付を入力してください",
        Date(2050, 12, 31)
    )
    
    #make query
    if keyword == "":
        query = whoosh.query.Every()
    else: 
        #AND search
        keyword_list = keyword.split()
        query = whoosh.query.And([whoosh.query.Term("content", word) for word in keyword_list])
    
    contents = searcher.search(q = query, date_start=date_start, date_end=date_end)
    
    st.write("該当件数：{}件".format(len(contents)))
    results = pd.DataFrame(contents, columns=["管理番号", "放送日", "動画タイトル"])
    st.dataframe(results, hide_index=True)

    selected_index = st.selectbox("管理番号を選択して書き起こしを表示", results["管理番号"])
    if selected_index is not None:
        df_transcription = searcher.get_content(selected_index)
        st.dataframe(df_transcription, width=1000)

if __name__ == "__main__":
    
    main()