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import os
import io
import pickle
import base64
import streamlit as st
import pandas as pd
#from google.oauth2 import service_account
#from googleapiclient.discovery import build
from htbuilder import HtmlElement, div, hr, a, p, img, styles
from pathlib import Path
######################## LOAD DATA FROM REPO ##########################
@st.cache_data(ttl=3600, show_spinner=False)
def load_data_pickle(path, file):
"""Load data from pickle file"""
df = pd.read_pickle(os.path.join(path,file))
return df
@st.cache_data(ttl=3600, show_spinner=False)
def load_data_csv(path, file):
"Load data from csv file"
df = pd.read_csv(os.path.join(path,file))
return df
@st.cache_data(ttl=3600, show_spinner=False)
def load_model_pickle(path, file):
"""Load model from pickle file"""
path_file = os.path.join(path, file)
model = pickle.load(open(path_file, 'rb'))
return model
#################### LOAD DATA FROM GOOGLE DRIVE ###################
# @st.cache_data(ttl=3600, show_spinner=False)
# def load_data(file, sheet_name, **kwargs):
# df = pd.read_excel(file, sheet_name=sheet_name, **kwargs)
# return df
# @st.cache_data(ttl=3600, show_spinner=False)
# def load_model(file):
# """Load model from pickle file"""
# model = pickle.load(file)
# return model
# @st.cache_data(show_spinner=False) #3600 seconds
# def authenticate_drive():
# creds = service_account.Credentials.from_service_account_info(
# st.secrets["connections_gcs"],
# scopes=["https://www.googleapis.com/auth/drive.readonly"]
# )
# drive_service = build('drive', 'v3', credentials=creds)
# return drive_service
# @st.cache_data(ttl=3600, show_spinner=False)
# def load_content_drive(file_id, _drive_service):
# """ Load content from google drive
# """
# request = _drive_service.files().get_media(fileId=file_id)
# file_content = io.BytesIO(request.execute())
# return file_content
# @st.cache_data(ttl=3600, show_spinner=False)
# def load_data_drive(file_content, sheet_name=None, **kwargs):
# """ Load data using file_content
# """
# if sheet_name is None:
# df = pd.read_excel(file_content, **kwargs)
# else:
# df = pd.read_excel(file_content, sheet_name=sheet_name, **kwargs)
# return df
# @st.cache_data(ttl=3600, show_spinner=False)
# def load_model_drive(file_content):
# """ Load model using file_content
# """
# model = pickle.load(file_content)
# return model
# def files_in_drive(folder_id, drive_service):
# results = drive_service.files().list(q=f"'{folder_id}' in parents").execute()
# files_dict= results.get('files', [])
# return files_dict
#################### PASSEWORD #####################
def check_password():
"""Returns `True` if the user had the correct password."""
def password_entered():
"""Checks whether a password entered by the user is correct."""
if "password" in st.session_state and st.session_state["password"] == st.secrets["password"]:
st.session_state["password_correct"] = True
del st.session_state["password"] # don't store password
else:
st.session_state["password_correct"] = False
if "password_correct" not in st.session_state:
# First run, show input for password.
st.text_input(
"Password", type="password", on_change=password_entered, key="password"
)
return False
elif not st.session_state["password_correct"]:
# Password not correct, show input + error.
st.text_input(
"Password", type="password", on_change=password_entered, key="password"
)
st.error("😕 Password incorrect")
return False
else:
# Password correct.
return True
###################### OTHER ######################
def img_to_bytes(img_path):
img_bytes = Path(img_path).read_bytes()
encoded = base64.b64encode(img_bytes).decode()
return encoded
def link(link, text, **style):
return a(_href=link, _target="_blank", style=styles(**style))(text)
@st.cache_data
def convert_df(df):
# IMPORTANT: Cache the conversion to prevent computation on every rerun
return df.to_csv().encode('utf-8') |