import csv
import os

import flask_apscheduler
from flask import Flask
from whoosh.fields import *
from whoosh.index import create_in
from whoosh.qparser import QueryParser

from csvparser.csvparser import concatenate_csv_row, getfullpublication

SCRIPT_DIR = os.path.dirname(__file__)
DATA_DIR = os.path.abspath(os.path.join(SCRIPT_DIR, "data"))


def create_app():
    APP = Flask(__name__, static_folder="static")
    APP.config["SECRET_KEY"] = "ty4425hk54a21eee5719b9s9df7sdfklx"
    APP.config["UPLOAD_FOLDER"] = "tmpupload"
    scheduler = flask_apscheduler.APScheduler()
    scheduler.api_enabled = False
    scheduler.init_app(APP)
    scheduler.start()
    index_books()

    @scheduler.task("interval", id="update", minutes=10)
    def update():
        index_books()

    return APP


def index_books():
    filename = os.path.join(DATA_DIR, "varlib.csv")
    schema = Schema(
        title=TEXT(stored=True), path=ID(stored=True), content=TEXT
    )
    ix = create_in(DATA_DIR, schema)
    writer = ix.writer()
    with open(filename, "r", encoding="utf_8_sig") as libcsv:
        csv_as_dict = csv.DictReader(libcsv)
        for row in csv_as_dict:
            rowcontent = concatenate_csv_row(row)
            writer.add_document(title=row["Id"], path="/a", content=rowcontent)
    writer.commit()