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#!/usr/bin/env python
# coding: utf-8
import pandas as pd
import base64
import uuid
import io
import pickle
import string
import simplejson as json
import regex as re
from functools import reduce
import streamlit as st
chars = string.digits + string.ascii_uppercase + string.ascii_lowercase + '_$'
selected_sheet = None
def compress(g):
bs = [int(g[i:i + 2], 16) for i in range(0, len(g), 2)]
def b64(v, l=4):
return ''.join([chars[(v // (64 ** i)) % 64] for i in range(l)][::-1])
return ''.join([b64(bs[0], 2)] + [b64((bs[i] << 16) + (bs[i + 1] << 8) + bs[i + 2]) for i in range(1, 16, 3)])
def download_button(object_to_download, download_filename, button_text, pickle_it=False):
"""
Generates a link to download the given object_to_download.
Params:
------
object_to_download: The object to be downloaded.
download_filename (str): filename and extension of file. e.g. mydata.csv,
some_txt_output.txt download_link_text (str): Text to display for download
link.
button_text (str): Text to display on download button (e.g. 'click here to download file')
pickle_it (bool): If True, pickle file.
Returns:
-------
(str): the anchor tag to download object_to_download
Examples:
--------
download_link(your_df, 'YOUR_DF.csv', 'Click to download data!')
download_link(your_str, 'YOUR_STRING.txt', 'Click to download text!')
"""
if pickle_it:
try:
object_to_download = pickle.dumps(object_to_download)
except pickle.PicklingError as e:
st.write(e)
return None
else:
if isinstance(object_to_download, bytes):
pass
elif isinstance(object_to_download, pd.DataFrame):
#object_to_download = object_to_download.to_csv(index=False)
towrite = io.BytesIO()
object_to_download = object_to_download.to_excel(
towrite,
encoding='utf-8',
index=False,
header=True,
na_rep=''
)
towrite.seek(0)
# Try JSON encode for everything else
else:
object_to_download = json.dumps(object_to_download)
try:
# some strings <-> bytes conversions necessary here
b64 = base64.b64encode(object_to_download.encode()).decode()
except AttributeError as e:
b64 = base64.b64encode(towrite.read()).decode()
button_uuid = str(uuid.uuid4()).replace('-', '')
button_id = re.sub('\d+', '', button_uuid)
custom_css = f"""
<style>
#{button_id} {{
display: inline-flex;
align-items: center;
justify-content: center;
background-color: rgb(255, 255, 255);
color: rgb(38, 39, 48);
padding: .25rem .75rem;
position: relative;
text-decoration: none;
border-radius: 4px;
border-width: 1px;
border-style: solid;
border-color: rgb(230, 234, 241);
border-image: initial;
}}
#{button_id}:hover {{
border-color: rgb(246, 51, 102);
color: rgb(246, 51, 102);
}}
#{button_id}:active {{
box-shadow: none;
background-color: rgb(246, 51, 102);
color: white;
}}
</style> """
dl_link = custom_css + f'<a download="{download_filename}" id="{button_id}" href="data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,{b64}">{button_text}</a><br></br>'
return dl_link
cobie_file_button = st.text_input("Dropbox link to COBie file", key="cobie_file_button")
# In[ ]:
if cobie_file_button:
cobie_file_path = st.session_state.cobie_file_button
if '=0' in cobie_file_path:
cobie_file_path = cobie_file_path.replace('=0', '=1')
cobie_file = pd.ExcelFile(cobie_file_path)
tabs = pd.ExcelFile("path").sheet_names
selected_sheet = st.selectbox(
'Select sheet for changing revit ids to COBie ids',
tabs,
)
if selected_sheet:
df = cobie_file.parse(selected_sheet)
st.write(df)
# st.markdown(download_button(df, 'COBieIDs.xlsx', 'Download COBieIDs.xlsx'), unsafe_allow_html=True)