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- # @name: data.py
- # @creation_date: 2022-09-14
- # @license: The MIT License <https://opensource.org/licenses/MIT>
- # @author: Simon Bowie <ad7588@coventry.ac.uk>
- # @purpose: data route for data
- # @acknowledgements:
- # pycountry module for country data
-
- from flask import Blueprint, render_template, request
- import random
- import pycountry
- from . import solr
-
- data = Blueprint('data', __name__)
-
- # route for main data page
- @data.route('/data/')
- def main_data():
- core = 'all'
- total_number = solr.get_total_number(core)
- year_data = solr.get_term_data('year', core)
- country_data = solr.get_term_data('country', core)
-
- # parse all the year data
- year_labels = []
- year_numbers = []
- year_dataset = []
- for i in range(0, len(year_data)):
- if i % 2:
- year_numbers.append(year_data[i])
- random_colour = "#" + "%06x" % random.randint(0, 0xFFFFFF)
- year_dict = {"label": "number of records", "data": year_numbers, "backgroundColor": random_colour}
- else:
- year_labels.append(year_data[i])
- year_dataset.append(year_dict)
-
- # parse all the country data
- country_labels = []
- country_numbers = []
- country_dataset = []
- for i in range(0, len(country_data)):
- if i % 2:
- country_numbers.append(country_data[i])
- random_colour = "#" + "%06x" % random.randint(0, 0xFFFFFF)
- country_dict = {"label": "number of records", "data": country_numbers, "backgroundColor": random_colour}
- else:
- country = pycountry.countries.get(alpha_2=country_data[i])
- if country is not None:
- country_labels.append(country.name)
- country_data[i] = country
- else:
- country = pycountry.historic_countries.get(alpha_2=country_data[i])
- if country is not None:
- country_data[i] = country
- country_labels.append(country.name)
- else:
- country_labels.append(country_data[i])
- country_dataset.append(country_dict)
-
- return render_template('data.html', total_number=total_number, year_data=year_data, year_labels=year_labels, year_dataset=year_dataset, country_data=country_data, country_labels=country_labels, country_dataset=country_dataset)
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