Add experimental machine learning

public/machine_learning/scripts/budgets_summary_comments_textrank.py

@@ -0,0 +1,59 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+"""
+Participatory Budgeting comments summaries - Dummy script
+
+"""
+
+
+# In[2]:
+
+
+data_path = '../data'
+config_file = 'budgets_summary_comments_textrank.ini'
+logging_file ='budgets_summary_comments_textrank.log'
+
+
+# In[3]:
+
+
+# Input file:
+inputjsonfile = 'comments.json'
+
+# Output files:
+comments_summaries_filename = 'ml_comments_summaries_budgets.json'
+
+
+# In[4]:
+
+
+import os
+import pandas as pd
+
+
+# ### Read the comments
+
+# In[5]:
+
+
+# comments_input_df = pd.read_json(os.path.join(data_path,inputjsonfile),orient="records")
+# col_id = 'commentable_id'
+# col_content = 'body'
+# comments_input_df = comments_input_df[[col_id]+[col_content]]
+
+
+# ### Create file. Comments summaries
+
+# In[6]:
+
+
+comments_summaries_cols = ['id','commentable_id','commentable_type','body']
+comments_summaries_df = pd.DataFrame(columns=comments_summaries_cols)
+row = [0,0,'Budget::Investment','Summary']
+comments_summaries_df = comments_summaries_df.append(dict(zip(comments_summaries_cols,row)), ignore_index=True)
+comments_summaries_df.to_json(os.path.join(data_path,comments_summaries_filename),orient="records", force_ascii=False)
+