From 5fff0b5cbca947bf565e06635329ac1abfcf7a81 Mon Sep 17 00:00:00 2001
From: Olivier Philippe <olivier.philippe@gmail.com>
Date: Wed, 20 Feb 2019 20:24:59 +0100
Subject: [PATCH] Remove: moved generate_2017_results.py

---
 analysis/generate_2017_results.py | 112 ------------------------------
 1 file changed, 112 deletions(-)
 delete mode 100644 analysis/generate_2017_results.py

diff --git a/analysis/generate_2017_results.py b/analysis/generate_2017_results.py
deleted file mode 100644
index 0161f53f..00000000
--- a/analysis/generate_2017_results.py
+++ /dev/null
@@ -1,112 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-import sys
-import json
-import pandas as pd
-from include.config import CountingConfig, NotebookConfig
-from include.generate_notebook import GenerateNotebook
-from include.get_arguments import get_arguments
-import nbformat
-from nbconvert import HTMLExporter
-import codecs
-
-"""
-Action file that holds all the different configuration for a
-specific dataset.
-
-Import the specific cleaning and plotting methods that are
-in the same folder
-"""
-
-
-def get_json_config_section(path_to_file):
-    """
-    A json file is created during the cleaning process
-    it group all the different sections and questions together
-    by type and is necessarily for this script to work. It is
-    basically the questions.csv file but reorganised for the
-    notebook script
-    :params:
-        :path_to_file str(): path to the json to load
-
-    :return:
-        :dict(): containing all the information about the questions
-            regrouped by type
-    """
-    with open(path_to_file, 'r') as f:
-        return json.load(f)
-
-
-def main():
-
-    pd.set_option('display.max_rows', 300)
-
-    # Get which country and which year to create the analysis
-    year, country = get_arguments(sys.argv[1:])
-    notebook_config = NotebookConfig(year, country)
-
-    # Get the folder to record df
-    counting_config = CountingConfig(year, country)
-    folder_df = counting_config.folder_df
-    # Notebook writing
-    notebook = GenerateNotebook(year, country, notebook_config.notebook_filename)
-    notebook.output_total_participants()
-    structure_by_section = get_json_config_section(notebook_config.json_to_plot_location)
-
-    for s in structure_by_section:
-        section = structure_by_section[s]
-        notebook.add_section(s)
-        for group in section:
-            notebook.add_group(group)
-            for question in section[group]:
-                list_questions = question['survey_q']
-                original_question = question['original_question']
-                answer_format = question['answer_format']
-                file_answer = question['file_answer']
-                order_question = question['order_question']
-                # To avoid having each questions written in a new line
-                # it joins them together before writing it
-                question_to_write = '; '.join(original_question)
-                notebook.add_question_title(question_to_write)
-
-                if answer_format not in ['freetext', 'datetime', 'freenumeric']:
-                    notebook.add_count(list_questions, answer_format, file_answer, order_question,
-                                       folder_df)
-                    notebook.add_percentage()
-                    notebook.add_display_all()
-                    notebook.add_plot(answer_format)
-
-                if answer_format == 'freetext':
-                    notebook.add_wordcloud(list_questions)
-                    # notebook.add_count(list_questions, answer_format, file_answer)
-                    # notebook.add_plot(answer_format)
-
-                if answer_format == 'freenumeric':
-                    notebook.add_count(list_questions, answer_format, file_answer, order_question,
-                                       folder_df)
-                    notebook.add_plot(answer_format)
-
-    print('Running notebook')
-    notebook.run_notebook()
-    print('Saving notebook')
-    notebook.save_notebook()
-
-    # # https://stackoverflow.com/questions/37657547/how-to-save-jupyter-notebook-to-html-by-code
-    # print('Convert the notebook into an html file')
-    # filepath = notebook_config.notebook_filename
-    # # export_path = '{}/{}'.format(NotebookConfig.notebook_folder,
-    # #                              NotebookConfig.notebook_html)
-    #
-    # with open(filepath) as fh:
-    #     nb = nbformat.reads(fh.read(), as_version=4)
-    #
-    # exporter = HTMLExporter()
-    #
-    # # source is a tuple of python source code
-    # # meta contains metadata
-    # source, meta = exporter.from_notebook_node(nb)
-    # codecs.open(filepath, 'w', encoding='utf-8').write(source)
-
-
-if __name__ == "__main__":
-    main()