import sys
import os
root_dir = os.path.abspath(os.curdir)
sys.path.append(root_dir)
import h5py
import yaml
import numpy as np
import pandas as pd
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import plotly.express as px
#import plotly.io as pio
from src.hdf5_ops import get_parent_child_relationships
[docs]
def display_group_hierarchy_on_a_treemap(filename: str):
"""
filename (str): hdf5 file's filename"""
with h5py.File(filename,'r') as file:
nodes, parents, values = get_parent_child_relationships(file)
metadata_list = []
metadata_dict={}
for key in file.attrs.keys():
#if 'metadata' in key:
if isinstance(file.attrs[key], str): # Check if the attribute is a string
metadata_key = key[key.find('_') + 1:]
metadata_value = file.attrs[key]
metadata_dict[metadata_key] = metadata_value
metadata_list.append(f'{metadata_key}: {metadata_value}')
#metadata_dict[key[key.find('_')+1::]]= file.attrs[key]
#metadata_list.append(key[key.find('_')+1::]+':'+file.attrs[key])
metadata = '<br>'.join(['<br>'] + metadata_list)
customdata_series = pd.Series(nodes)
customdata_series[0] = metadata
fig = make_subplots(1, 1, specs=[[{"type": "domain"}]],)
fig.add_trace(go.Treemap(
labels=nodes, #formating_df['formated_names'][nodes],
parents=parents,#formating_df['formated_names'][parents],
values=values,
branchvalues='remainder',
customdata= customdata_series,
#marker=dict(
# colors=df_all_trees['color'],
# colorscale='RdBu',
# cmid=average_score),
#hovertemplate='<b>%{label} </b> <br> Number of files: %{value}<br> Success rate: %{color:.2f}',
hovertemplate='<b>%{label} </b> <br> Count: %{value} <br> Path: %{customdata}',
name='',
root_color="lightgrey"
))
fig.update_layout(width = 800, height= 600, margin = dict(t=50, l=25, r=25, b=25))
fig.show()
file_name, file_ext = os.path.splitext(filename)
fig.write_html(file_name + ".html")
#pio.write_image(fig,file_name + ".png",width=800,height=600,format='png')
#