#!/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""" """ dl_link = custom_css + f'{button_text}

' 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)