from __future__ import annotations
from os import listdir

import numpy as np
import pandas as pd

import faiss

import streamlit as st

from PIL import Image


def get_category_data(type: str, cat_name: str = None) -> int | list:
	"""
	Returns the requested data by category

	:param type: Type returned data. Should be one of: id, ru_name or cat_names
	:param cat_name: category name
	:return: returns the requested data
	"""

	cat = {
		'makijazh':              {'id': 3, 'name': 'макияж'},
		'uhod':                  {'id': 4, 'name': 'уход'},
		'volosy':                {'id': 6, 'name': 'волосы'},
		'parfjumerija':          {'id': 7, 'name': 'парфюмерия'},
		'zdorov-e-i-apteka':     {'id': 3747, 'name': 'здоровье и аптека'},
		'sexual-wellness':       {'id': 5962, 'name': 'sexual wellness'},
		'azija':                 {'id': 10, 'name': 'азия'},
		'organika':              {'id': 12, 'name': 'органика'},
		'dlja-muzhchin':         {'id': 3887, 'name': 'для мужчин'},
		'dlja-detej':            {'id': 4357, 'name': 'для детей'},
		'tehnika':               {'id': 3870, 'name': 'техника'},
		'dlja-doma':             {'id': 8202, 'name': 'для дома'},
		'odezhda-i-aksessuary':  {'id': 8529, 'name': 'одежда и аксессуары'},
		'nizhnee-bel-jo':        {'id': 8563, 'name': 'нижнее бельё'},
		'ukrashenija':           {'id': 5746, 'name': 'украшения'},
		'lajfstajl':             {'id': 8579, 'name': 'лайфстайл'},
		'ini-formaty':           {'id': 5159, 'name': 'тревел-форматы'},
		'tovary-dlja-zhivotnyh': {'id': 7638, 'name': 'товары для животных'}
	}

	ru_cat = {
		'макияж': 'makijazh',
		'уход': 'uhod',
		'волосы': 'volosy',
		'парфюмерия': 'parfjumerija',
		'здоровье и аптека': 'zdorov-e-i-apteka',
		'sexual wellness': 'sexual-wellness',
		'азия': 'azija',
		'органика': 'organika',
		'для мужчин': 'dlja-muzhchin',
		'для детей': 'dlja-detej',
		'техника': 'tehnika',
		'для дома': 'dlja-doma',
		'одежда и аксессуары': 'odezhda-i-aksessuary',
		'нижнее бельё': 'nizhnee-bel-jo',
		'украшения': 'ukrashenija',
		'лайфстайл': 'lajfstajl',
		'тревел-форматы': 'ini-formaty',
		'товары для животных': 'tovary-dlja-zhivotnyh'
	}

	if type not in ['cat_names', 'id', 'ru_name', 'ru_to_eng']:
		raise ValueError('Parameter type should by "cat_names","id", "ru_name" or "ru_to_eng"')

	if type == 'cat_names':
		return [cat for cat in cat.keys()]

	if cat_name is None:
		raise ValueError('Value cat_name should be not None')

	if type == 'ru_to_eng':
		return ru_cat[cat_name]

	try:
		cat[cat_name]
	except KeyError:
		raise ValueError(f'Wrong category name: {cat_name}. \n'
						 f'Possible cat_names: {", ".join([name for name in cat.keys()])}')

	if type == 'id':
		return cat[cat_name]['id']
	elif type == 'ru_name':
		return cat[cat_name]['name']
	else:
		raise ValueError('type should be "cat_names", "id" or "ru_name"')


@st.experimental_memo
def get_faiss_description_index() -> faiss.IndexFlatL2:
	return faiss.read_index('data/faiss_index/faiss_description_index.index')


@st.experimental_memo
def get_faiss_product_usage_index() -> faiss.IndexFlatL2:
	return faiss.read_index('data/faiss_index/faiss_product_usage_index.index')


@st.experimental_memo
def get_faiss_product_composition_index() -> faiss.IndexFlatL2:
	return faiss.read_index('data/faiss_index/faiss_product_composition_index.index')


@st.experimental_memo
def get_products_data() -> pd.DataFrame:
	return pd.read_csv('data/products.csv')


@st.experimental_memo
def get_description_embeddings() -> pd.DataFrame:
	return pd.read_csv('data/embeddings/embedded_description')


@st.experimental_memo
def get_product_usage_embeddings() -> pd.DataFrame:
	return pd.read_csv('data/embeddings/embedded_product_usage')


@st.experimental_memo
def get_product_composition_embeddings() -> pd.DataFrame:
	return pd.read_csv('data/embeddings/embedded_product_composition')


@st.experimental_memo
def get_image_data() -> pd.DataFrame:
	return pd.read_csv('data/product_images.csv')


@st.experimental_memo
def get_category_options() -> list:
	"""
	Returns category list in RU lang

	:return: list of categories in RU lang
	"""
	data = get_products_data()
	ru_cat_names = [get_category_data('ru_name', cat) for cat in data['category'].value_counts().index]
	return ru_cat_names


def get_random_product() -> pd.Series:
	"""
	Returns random product

	:return: random product data
	"""
	data = get_products_data()
	return data.loc[np.random.randint(len(data))]


def get_image_by_sku(sku: str or int) -> np.array:
	"""
	Get image by product sku.

	:param: sku: product sku
	:return: image product if existed, else image with 'No image' text
	"""
	image_data = get_image_data()
	try:
		for num, dir in enumerate(listdir('data/images')):
			try:
				image_name = image_data[image_data['sku'] == str(sku)]['image'].iloc[0]
				with Image.open(f'data/images/{dir}/{image_name}') as img:
					res = np.array(img)
				return res
			except:
				if num == 2:
					raise Exception
	except:
		with Image.open('data/service_images/' + 'no_img.jpg') as img:
			res = np.array(img)
		return res