60 lines
1.1 KiB
Python
60 lines
1.1 KiB
Python
#!/usr/bin/env python
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# coding: utf-8
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# In[1]:
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"""
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Participatory Budgeting comments summaries - Dummy script
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"""
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# In[2]:
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data_path = '../data'
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config_file = 'budgets_summary_comments_textrank.ini'
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logging_file ='budgets_summary_comments_textrank.log'
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# In[3]:
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# Input file:
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inputjsonfile = 'comments.json'
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# Output files:
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comments_summaries_filename = 'ml_comments_summaries_budgets.json'
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# In[4]:
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import os
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import pandas as pd
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# ### Read the comments
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# In[5]:
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# comments_input_df = pd.read_json(os.path.join(data_path,inputjsonfile),orient="records")
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# col_id = 'commentable_id'
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# col_content = 'body'
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# comments_input_df = comments_input_df[[col_id]+[col_content]]
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# ### Create file. Comments summaries
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# In[6]:
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comments_summaries_cols = ['id','commentable_id','commentable_type','body']
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comments_summaries_df = pd.DataFrame(columns=comments_summaries_cols)
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row = [0,0,'Budget::Investment','Summary']
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comments_summaries_df = comments_summaries_df.append(dict(zip(comments_summaries_cols,row)), ignore_index=True)
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comments_summaries_df.to_json(os.path.join(data_path,comments_summaries_filename),orient="records", force_ascii=False)
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