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import os
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import pyecharts
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from pyecharts.charts import Line
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from pyecharts import options as opts
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from pyecharts.charts import Bar
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from pyecharts.globals import ThemeType
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if __name__ == '__main__':
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outcome_dir = r'E:\Data\Research\Outcome'
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configs_dir = r'\Magellan+Smac+roberta-large-nli-stsb-mean-tokens+inter-0.5'
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datasets_list = os.listdir(outcome_dir)
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f1 = []
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interpretability = []
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for _ in datasets_list:
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path = outcome_dir + rf'\{_}' + configs_dir
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statistics_files = os.listdir(path)
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for i in statistics_files:
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if i.startswith('eval_result'):
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with open(path + rf'\{i}', 'r') as f:
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# 读取每一行的md，加入该文件的md列表
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for line in f.readlines():
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if line.startswith('F1'):
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lt = line.split(' ')
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value = float(lt[2].replace('%', ''))/100
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f1.append(round(value, ndigits=3))
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elif line.startswith('interpretability'):
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lt = line.split(':')
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value = float(lt[1])
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interpretability.append(round(value, ndigits=3))
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c = (
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Bar()
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.add_xaxis(
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datasets_list
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)
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.add_yaxis('F1', f1)
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.add_yaxis('Interpretability', interpretability)
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.set_global_opts(
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xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)),
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title_opts=opts.TitleOpts(title="各数据集F1值与预测结果可解释比例", subtitle="可解释性比重：0.5"),
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)
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.render("output/F1_Inter_bars.html")
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)
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