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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
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)
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