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Delete Setup.py
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Setup.py
DELETED
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#!/usr/bin/env python
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# coding: utf-8
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import panel as pn
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import os
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import pandas as pd
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import json
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pn.extension()
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# Global variables to store the input values
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input_path = ""
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set_path = ""
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ls_samples = []
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metadata_files = []
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selected_metadata_files = []
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# Define a callback to store values when the button is clicked
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def store_values(event):
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global input_path, set_path, ls_samples, metadata_files
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input_path = file_input.value
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set_path = set_name.value
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# Update the global variables
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global base_dir, input_data_dir, output_data_dir, output_images_dir, metadata_dir, metadata_images_dir
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present_dir = os.path.dirname(os.path.realpath(__file__))
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input_path = os.path.join(present_dir, input_path)
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base_dir = input_path
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project_name = set_path
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step_suffix = 'qc_eda'
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previous_step_suffix_long = ""
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input_data_dir = os.path.join(base_dir, project_name + "_data")
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output_data_dir = os.path.join(base_dir, project_name + "_" + step_suffix)
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output_images_dir = os.path.join(output_data_dir, "images")
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metadata_dir = os.path.join(base_dir, project_name + "_metadata")
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metadata_images_dir = os.path.join(metadata_dir, "images")
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# Create directories if they don't already exist
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for d in [base_dir, input_data_dir, output_data_dir, output_images_dir, metadata_dir, metadata_images_dir]:
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if not os.path.exists(d):
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print(f"Creation of the {d} directory...")
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os.makedirs(d)
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else:
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print(f"The {d} directory already exists!")
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os.chdir(input_data_dir)
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# Create a DataFrame with the directory paths
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data = {
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'Directory': ['Base Directory', 'Input Data Directory', 'Output Data Directory', 'Output Images Directory', 'Metadata Directory', 'Metadata Images Directory'],
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'Path': [base_dir, input_data_dir, output_data_dir, output_images_dir, metadata_dir, metadata_images_dir]
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}
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df = pd.DataFrame(data)
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# List CSV files in the input_data_dir
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ls_samples = [sample for sample in os.listdir(input_data_dir) if sample.endswith(".csv")]
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print(f"The following CSV files were detected:\n\n{ls_samples}\n\nin {input_data_dir} directory.")
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# List CSV files in the metadata_dir
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metadata_files = [file for file in os.listdir(metadata_dir) if file.endswith(".tif.csv")]
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print(f"The following metadata CSV files were detected:\n\n{metadata_files}\n\nin {metadata_dir} directory.")
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# Update the CheckBoxGroup options
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checkbox_group.options = ls_samples
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metadata_checkbox_group.options = metadata_files
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# Create a DataFrame with the CSV files
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csv_files = pd.DataFrame({'CSV Files': ls_samples})
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metadata_files_df = pd.DataFrame({'Metadata Files': metadata_files})
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# Update the output panes
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output_pane_1.object = f"**File Path:** {input_path}\n\n**Set Name:** {set_path}"
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output_pane_2.object = df.to_html(index=False)
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output_pane_3.object = csv_files.to_html(index=False)
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output_pane_4.object = metadata_files_df.to_html(index=False)
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# Define a callback to save the selected CSV files when the button is clicked
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def save_selected_files(event):
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# Store the variables in a JSON file
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with open('stored_variables.json', 'w') as file:
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json.dump({'base_dir': base_dir, 'set_path': set_path}, file)
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# Define a callback to update the ls_samples list based on the selected options
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def update_ls_samples(event):
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global ls_samples
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ls_samples = event.new
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# Define a callback to update the metadata_files list based on the selected options
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def update_metadata_files(event):
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global metadata_files, selected_metadata_files
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metadata_files = event.new
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selected_metadata_files = event.new
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# Define a callback to save the selected metadata files when the button is clicked
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def save_selected_metadata_files(event):
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with open('stored_variables.json', 'w') as file:
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json.dump({'selected_metadata_files': selected_metadata_files}, file)
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# Define the widgets
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file_input = pn.widgets.TextInput(
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name="File Path",
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placeholder="Enter the path to your directory"
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)
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# Define the set name
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set_name = pn.widgets.TextInput(
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name="Set Name",
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placeholder="Enter the Set"
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)
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# Button to trigger storing values
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store_button = pn.widgets.Button(name='Store Values')
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store_button.on_click(store_values)
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# CheckBoxGroup to select CSV files
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checkbox_group = pn.widgets.CheckBoxGroup(name='Select CSV Files', options=[], value=[])
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checkbox_group.param.watch(update_ls_samples, 'value')
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# CheckBoxGroup to select metadata files
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metadata_checkbox_group = pn.widgets.CheckBoxGroup(name='Select Metadata Files', options=[], value=[])
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metadata_checkbox_group.param.watch(update_metadata_files, 'value')
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# Button to save selected CSV files
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save_button = pn.widgets.Button(name='Save Files')
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save_button.on_click(save_selected_files)
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# Button to save selected metadata files
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save_metadata_button = pn.widgets.Button(name='Save Metadata Files')
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save_metadata_button.on_click(save_selected_metadata_files)
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output_pane_1 = pn.pane.Markdown("")
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output_pane_2 = pn.pane.HTML("")
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output_pane_3 = pn.pane.HTML("")
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output_pane_4 = pn.pane.HTML("")
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# Create the cards
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card_1 = pn.Card(
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pn.Column(
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pn.pane.Markdown("### Input Form"),
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file_input,
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set_name,
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store_button,
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output_pane_1,
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sizing_mode="stretch_width"
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),
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title="Input Form",
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sizing_mode="stretch_width"
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)
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card_2 = pn.Card(
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pn.Column(
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pn.pane.Markdown("### Directory Paths"),
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output_pane_2,
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sizing_mode="stretch_width"
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),
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title="Directory Paths",
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sizing_mode="stretch_width"
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)
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card_3 = pn.Card(
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pn.Column(
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pn.pane.Markdown("### CSV Files"),
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output_pane_3,
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pn.pane.Markdown("### Selection of CSV files for the further analysis"),
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checkbox_group,
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save_button,
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sizing_mode="stretch_width"
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),
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title="CSV Files",
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sizing_mode="stretch_width"
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)
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card_4 = pn.Card(
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pn.Column(
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pn.pane.Markdown("### Metadata Files"),
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output_pane_4,
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pn.pane.Markdown("### Selection of Metadata Files"),
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metadata_checkbox_group,
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save_metadata_button,
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sizing_mode="stretch_width"
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),
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title="Metadata Files",
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sizing_mode="stretch_width"
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)
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# Create the main column with the cards
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main_column = pn.Column(card_1, card_2, card_3, card_4)
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# Create the GoldenTemplate with the main column
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app = pn.template.GoldenTemplate(
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site="Cyc-IF",
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title="Setup",
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main=[main_column],
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header_color="black",
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)
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app.servable()
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