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# Author: Simon Blanke |
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# Email: [email protected] |
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# License: MIT License |
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import os |
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import uuid |
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import numpy as np |
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import pandas as pd |
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from ..data_tools import DataCollector |
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class ProgressBoard: |
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def __init__(self, filter_file=None): |
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self.filter_file = filter_file |
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self.uuid = uuid.uuid4().hex |
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self.paths_list = [] |
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def _create_filter_file(self, search_id, search_space): |
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filter_path = "./filter_" + search_id + ".csv" |
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if os.path.isfile(filter_path): |
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os.remove(filter_path) |
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indices = list(search_space.keys()) + ["score"] |
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filter_dict = { |
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"parameter": indices, |
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"lower bound": "lower", |
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"upper bound": "upper", |
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} |
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df = pd.DataFrame(filter_dict) |
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df.to_csv(filter_path, index=None) |
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def init_paths(self, search_id, search_space): |
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progress_data_path = "./progress_data_" + search_id + ".csv~" |
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if os.path.isfile(progress_data_path): |
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os.remove(progress_data_path) |
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data_c = DataCollector(progress_data_path) |
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self.paths_list.append(search_id) |
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if self.filter_file: |
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self._create_filter_file(search_id, search_space) |
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return data_c |
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def open_dashboard(self): |
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abspath = os.path.abspath(__file__) |
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dir_ = os.path.dirname(abspath) |
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paths = " ".join(self.paths_list) |
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open_streamlit = "streamlit run " + dir_ + "/run_streamlit.py " + paths |
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# from: https://stackoverflow.com/questions/7574841/open-a-terminal-from-python |
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os.system("gnome-terminal -e 'bash -c \" " + open_streamlit + " \"'") |
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SimonBlanke /
Hyperactive
