| import streamlit as st |
| import pickle |
| import pandas as pd |
| import json |
| import base64 |
| import uuid |
| import re |
|
|
| import importlib.util |
|
|
|
|
| def import_from_file(module_name: str, filepath: str): |
| """ |
| Imports a module from file. |
| Args: |
| module_name (str): Assigned to the module's __name__ parameter (does not |
| influence how the module is named outside of this function) |
| filepath (str): Path to the .py file |
| Returns: |
| The module |
| """ |
| spec = importlib.util.spec_from_file_location(module_name, filepath) |
| module = importlib.util.module_from_spec(spec) |
| spec.loader.exec_module(module) |
| return module |
|
|
|
|
| def notebook_header(text): |
| """ |
| Insert section header into a jinja file, formatted as notebook cell. |
| Leave 2 blank lines before the header. |
| """ |
| return f"""# # {text} |
| """ |
|
|
|
|
| def code_header(text): |
| """ |
| Insert section header into a jinja file, formatted as Python comment. |
| Leave 2 blank lines before the header. |
| """ |
| seperator_len = (75 - len(text)) / 2 |
| seperator_len_left = math.floor(seperator_len) |
| seperator_len_right = math.ceil(seperator_len) |
| return f"# {'-' * seperator_len_left} {text} {'-' * seperator_len_right}" |
|
|
|
|
| def to_notebook(code): |
| """Converts Python code to Jupyter notebook format.""" |
| notebook = jupytext.reads(code, fmt="py") |
| return jupytext.writes(notebook, fmt="ipynb") |
|
|
|
|
| def open_link(url, new_tab=True): |
| """Dirty hack to open a new web page with a streamlit button.""" |
| |
| if new_tab: |
| js = f"window.open('{url}')" |
| else: |
| js = f"window.location.href = '{url}'" |
| html = '<img src onerror="{}">'.format(js) |
| div = Div(text=html) |
| st.bokeh_chart(div) |
|
|
|
|
| def download_button(object_to_download, download_filename, button_text): |
| """ |
| Generates a link to download the given object_to_download. |
| From: https://discuss.streamlit.io/t/a-download-button-with-custom-css/4220 |
| 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 isinstance(object_to_download, bytes): |
| pass |
|
|
| elif isinstance(object_to_download, pd.DataFrame): |
| object_to_download = object_to_download.to_csv(index=False) |
| |
| else: |
| object_to_download = json.dumps(object_to_download) |
|
|
| try: |
| |
| b64 = base64.b64encode(object_to_download.encode()).decode() |
| except AttributeError as e: |
| b64 = base64.b64encode(object_to_download).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:file/txt;base64,{b64}">{button_text}</a><br><br>' |
| ) |
|
|
| st.markdown(dl_link, unsafe_allow_html=True) |
|
|