short_unit=s_unit,
                            description=global_cat[indicator_code]['description'],
                            code=indicator_code,
                            timespan='',
                            datasetId=newdataset,
                            variableTypeId=VariableType.objects.get(pk=4),
                            sourceId=newsource)
     newvariable.save()
     global_cat[indicator_code]['variable_object'] = newvariable
     vars_to_add.remove(indicator_code)
     global_cat[indicator_code]['saved'] = True
     logger.info("Inserting a variable %s." % newvariable.name.encode('utf8'))
 else:
     if not global_cat[indicator_code]['saved']:
         newsource = Source.objects.get(name='World Bank Poverty and Equity database: ' + Variable.objects.get(code=indicator_code, datasetId__in=Dataset.objects.filter(namespace='povstats')).name)
         newsource.name = 'World Bank Poverty and Equity database: ' + global_cat[indicator_code]['name']
         source_description['additionalInfo'] = "Definitions and characteristics of countries and other territories: " + "https://ourworldindata.org" + reverse("servepovstatscountryinfo") + "\n"
         source_description['additionalInfo'] += "Limitations and exceptions:\n" + global_cat[indicator_code]['limitations'] + "\n" if global_cat[indicator_code]['limitations'] else ''
         source_description['additionalInfo'] += "Notes from original source:\n" + global_cat[indicator_code]['sourcenotes'] + "\n" if global_cat[indicator_code]['sourcenotes'] else ''
         source_description['additionalInfo'] += "General comments:\n" + global_cat[indicator_code]['comments'] + "\n" if global_cat[indicator_code]['comments'] else ''
         source_description['additionalInfo'] += "Statistical concept and methodology:\n" + global_cat[indicator_code]['concept'] + "\n" if global_cat[indicator_code]['concept'] else ''
         source_description['additionalInfo'] += "Related source links:\n" + global_cat[indicator_code]['sourcelinks'] + "\n" if global_cat[indicator_code]['sourcelinks'] else ''
         source_description['additionalInfo'] += "Other web links:\n" + global_cat[indicator_code]['weblinks'] + "\n" if global_cat[indicator_code]['weblinks'] else ''
         source_description['dataPublisherSource'] = global_cat[indicator_code]['source']
         newsource.description=json.dumps(source_description)
         newsource.datasetId=newdataset.pk
         newsource.save()
         logger.info("Updating the source %s." % newsource.name.encode('utf8'))
         s_unit = short_unit_extract(global_cat[indicator_code]['unitofmeasure'])
         newvariable = Variable.objects.get(code=indicator_code, datasetId__in=Dataset.objects.filter(namespace='povstats'))
         newvariable.name = global_cat[indicator_code]['name']
Exemple #2
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                            global_cat[indicator_code]['unitofmeasure'] else '',
                            short_unit=s_unit,
                            description=global_cat[indicator_code]['description'],
                            code=indicator_code,
                            timespan='1960-' + str(last_available_year),
                            datasetId=newdataset,
                            sourceId=newsource)
     newvariable.save()
     global_cat[indicator_code]['variable_object'] = newvariable
     var_codes_to_add.remove(indicator_code)
     global_cat[indicator_code]['saved'] = True
     logger.info("Inserting a variable %s." % newvariable.name.encode('utf8'))
 else:
     if not global_cat[indicator_code]['saved']:
         newsource = Source.objects.get(name='World Bank – WDI: ' + Variable.objects.get(code=indicator_code, datasetId__in=Dataset.objects.filter(namespace=DATASET_NAMESPACE)).name)
         newsource.name = 'World Bank – WDI: ' + global_cat[indicator_code]['name']
         source_description['additionalInfo'] = "Definitions and characteristics of countries and other territories: " + "https://ourworldindata.org" + reverse("servewdicountryinfo") + "\n"
         source_description['additionalInfo'] += "Limitations and exceptions:\n" + global_cat[indicator_code]['limitations'] + "\n" if global_cat[indicator_code]['limitations'] else ''
         source_description['additionalInfo'] += "Notes from original source:\n" + global_cat[indicator_code]['sourcenotes'] + "\n" if global_cat[indicator_code]['sourcenotes'] else ''
         source_description['additionalInfo'] += "General comments:\n" + global_cat[indicator_code]['comments'] + "\n" if global_cat[indicator_code]['comments'] else ''
         source_description['additionalInfo'] += "Statistical concept and methodology:\n" + global_cat[indicator_code]['concept'] if global_cat[indicator_code]['concept'] else ''
         source_description['additionalInfo'] += "Related source links:\n" + global_cat[indicator_code]['sourcelinks'] + "\n" if global_cat[indicator_code]['sourcelinks'] else ''
         source_description['additionalInfo'] += "Other web links:\n" + global_cat[indicator_code]['weblinks'] + "\n" if global_cat[indicator_code]['weblinks'] else ''
         source_description['dataPublisherSource'] = global_cat[indicator_code]['source']
         if 'iea.org' in json.dumps(
             source_description).lower() or 'iea stat' in json.dumps(
             source_description).lower() or 'iea 2014' in json.dumps(
             source_description).lower():
             source_description[
                 'dataPublishedBy'] = 'International Energy Agency (IEA) via The World Bank'
         else:
             'link'] += ", " + qog_sources[source_name][
                 'url'] if qog_sources[source_name]['url'] else ""
         source_description['dataPublisherSource'] = qog_sources[
             source_name]['name']
         newsource = Source(
             name='%s via the Quality of Government dataset' %
             (qog_sources[source_name]['name']),
             description=json.dumps(source_description),
             datasetId=datasets_ref_models[vardata['category']].pk)
         # in the metadata file, some of the sources have the same name, but are treated as different sources
         # so if we see a source with the same name in the same category, we switch to using the original dataset name
         try:
             with transaction.atomic():
                 newsource.save()
         except django.db.utils.IntegrityError:
             newsource.name = '%s via the Quality of Government dataset' % (
                 qog_sources[source_name]['original_dataset'])
             newsource.save()
         logger.info("Inserting a source %s." %
                     newsource.name.encode('utf8'))
         saved_sources[source_name].update(
             {vardata['category']: newsource})
 else:
     source_description['additionalInfo'] = qog_sources[
         source_name]['description']
     source_description['link'] = "http://qog.pol.gu.se/data"
     source_description['link'] += ", " + qog_sources[source_name][
         'url'] if qog_sources[source_name]['url'] else ""
     source_description['dataPublisherSource'] = qog_sources[
         source_name]['name']
     newsource = Source(
         name='%s via the Quality of Government dataset' %
                            short_unit=s_unit,
                            description=global_cat[indicator_code]['description'],
                            code=indicator_code,
                            timespan='1960-' + str(last_available_year),
                            fk_dst_id=newdataset,
                            fk_var_type_id=VariableType.objects.get(pk=4),
                            sourceId=newsource)
     newvariable.save()
     global_cat[indicator_code]['variable_object'] = newvariable
     vars_to_add.remove(indicator_code)
     global_cat[indicator_code]['saved'] = True
     logger.info("Inserting a variable %s." % newvariable.name.encode('utf8'))
 else:
     if not global_cat[indicator_code]['saved']:
         newsource = Source.objects.get(name='World Bank Health Nutrition and Population Statistics: ' + Variable.objects.get(code=indicator_code, fk_dst_id__in=Dataset.objects.filter(namespace='hnpstats')).name)
         newsource.name = 'World Bank Health Nutrition and Population Statistics: ' + global_cat[indicator_code]['name']
         source_description['additionalInfo'] = "Definitions and characteristics of countries and other territories: " + "https://ourworldindata.org" + reverse("servehnpstatscountryinfo") + "\n"
         source_description['additionalInfo'] += "Limitations and exceptions:\n" + global_cat[indicator_code]['limitations'] + "\n" if global_cat[indicator_code]['limitations'] else ''
         source_description['additionalInfo'] += "Notes from original source:\n" + global_cat[indicator_code]['sourcenotes'] + "\n" if global_cat[indicator_code]['sourcenotes'] else ''
         source_description['additionalInfo'] += "General comments:\n" + global_cat[indicator_code]['comments'] + "\n" if global_cat[indicator_code]['comments'] else ''
         source_description['additionalInfo'] += "Statistical concept and methodology:\n" + global_cat[indicator_code]['concept'] + "\n" if global_cat[indicator_code]['concept'] else ''
         source_description['additionalInfo'] += "Related source links:\n" + global_cat[indicator_code]['sourcelinks'] + "\n" if global_cat[indicator_code]['sourcelinks'] else ''
         source_description['additionalInfo'] += "Other web links:\n" + global_cat[indicator_code]['weblinks'] + "\n" if global_cat[indicator_code]['weblinks'] else ''
         source_description['dataPublisherSource'] = global_cat[indicator_code]['source']
         newsource.description=json.dumps(source_description)
         newsource.datasetId=newdataset.pk
         newsource.save()
         logger.info("Updating the source %s." % newsource.name.encode('utf8'))
         s_unit = short_unit_extract(global_cat[indicator_code]['unitofmeasure'])
         newvariable = Variable.objects.get(code=indicator_code, fk_dst_id__in=Dataset.objects.filter(namespace='hnpstats'))
         newvariable.name = global_cat[indicator_code]['name']
Exemple #5
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     logger.info(
         "Inserting a variable %s." %
         newvariable.name.encode('utf8'))
 else:
     if not global_cat[indicator_code][
             'saved']:
         newsource = Source.objects.get(
             name=
             'World Bank Climate Change Data: '
             + Variable.objects.get(
                 code=indicator_code,
                 fk_dst_id__in=Dataset.
                 objects.filter(
                     namespace='climatech'
                 )).name)
         newsource.name = 'World Bank Climate Change Data: ' + global_cat[
             indicator_code]['name']
         source_description[
             'additionalInfo'] = None
         source_description[
             'dataPublisherSource'] = global_cat[
                 indicator_code]['source']
         newsource.description = json.dumps(
             source_description)
         newsource.datasetId = newdataset.pk
         newsource.save()
         logger.info(
             "Updating the source %s." %
             newsource.name.encode('utf8'))
         if global_cat[indicator_code][
                 'unitofmeasure']:
             if len(global_cat[
Exemple #6
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                            short_unit=s_unit,
                            description=global_cat[indicator_code]['description'],
                            code=indicator_code,
                            timespan='',
                            datasetId=newdataset,
                            variableTypeId=VariableType.objects.get(pk=4),
                            sourceId=newsource)
     newvariable.save()
     global_cat[indicator_code]['variable_object'] = newvariable
     vars_to_add.remove(indicator_code)
     global_cat[indicator_code]['saved'] = True
     logger.info("Inserting a variable %s." % newvariable.name.encode('utf8'))
 else:
     if not global_cat[indicator_code]['saved']:
         newsource = Source.objects.get(name='World Bank Data on Statistical Capacity: ' + Variable.objects.get(code=indicator_code, datasetId__in=Dataset.objects.filter(namespace='bbsc')).name)
         newsource.name = 'World Bank Data on Statistical Capacity: ' + global_cat[indicator_code]['name']
         source_description['additionalInfo'] = "Definitions and characteristics of countries and other territories: " + "https://ourworldindata.org" + reverse("servebbsccountryinfo") + "\n"
         source_description['additionalInfo'] += "Limitations and exceptions:\n" + global_cat[indicator_code]['limitations'] + "\n" if global_cat[indicator_code]['limitations'] else ''
         source_description['additionalInfo'] += "Notes from original source:\n" + global_cat[indicator_code]['sourcenotes'] + "\n" if global_cat[indicator_code]['sourcenotes'] else ''
         source_description['additionalInfo'] += "General comments:\n" + global_cat[indicator_code]['comments'] + "\n" if global_cat[indicator_code]['comments'] else ''
         source_description['additionalInfo'] += "Statistical concept and methodology:\n" + global_cat[indicator_code]['concept'] + "\n" if global_cat[indicator_code]['concept'] else ''
         source_description['additionalInfo'] += "Related source links:\n" + global_cat[indicator_code]['sourcelinks'] + "\n" if global_cat[indicator_code]['sourcelinks'] else ''
         source_description['additionalInfo'] += "Other web links:\n" + global_cat[indicator_code]['weblinks'] + "\n" if global_cat[indicator_code]['weblinks'] else ''
         source_description['dataPublisherSource'] = global_cat[indicator_code]['source']
         newsource.description=json.dumps(source_description)
         newsource.datasetId=newdataset.pk
         newsource.save()
         logger.info("Updating the source %s." % newsource.name.encode('utf8'))
         s_unit = short_unit_extract(global_cat[indicator_code]['unitofmeasure'])
         newvariable = Variable.objects.get(code=indicator_code, datasetId__in=Dataset.objects.filter(namespace='bbsc'))
         newvariable.name = global_cat[indicator_code]['name']
Exemple #7
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                            short_unit=s_unit,
                            description=global_cat[indicator_code]['description'],
                            code=indicator_code,
                            timespan='',
                            fk_dst_id=newdataset,
                            fk_var_type_id=VariableType.objects.get(pk=4),
                            sourceId=newsource)
     newvariable.save()
     global_cat[indicator_code]['variable_object'] = newvariable
     vars_to_add.remove(indicator_code)
     global_cat[indicator_code]['saved'] = True
     logger.info("Inserting a variable %s." % newvariable.name.encode('utf8'))
 else:
     if not global_cat[indicator_code]['saved']:
         newsource = Source.objects.get(name='World Bank Global Findex: ' + Variable.objects.get(code=indicator_code, fk_dst_id__in=Dataset.objects.filter(namespace='findex')).name)
         newsource.name = 'World Bank Global Findex: ' + global_cat[indicator_code]['name']
         source_description['additionalInfo'] = "Definitions and characteristics of countries and other territories: " + "https://ourworldindata.org" + reverse("servefindexcountryinfo") + "\n"
         source_description['additionalInfo'] += "Limitations and exceptions:\n" + global_cat[indicator_code]['limitations'] + "\n" if global_cat[indicator_code]['limitations'] else ''
         source_description['additionalInfo'] += "Notes from original source:\n" + global_cat[indicator_code]['sourcenotes'] + "\n" if global_cat[indicator_code]['sourcenotes'] else ''
         source_description['additionalInfo'] += "General comments:\n" + global_cat[indicator_code]['comments'] + "\n" if global_cat[indicator_code]['comments'] else ''
         source_description['additionalInfo'] += "Statistical concept and methodology:\n" + global_cat[indicator_code]['concept'] + "\n" if global_cat[indicator_code]['concept'] else ''
         source_description['additionalInfo'] += "Related source links:\n" + global_cat[indicator_code]['sourcelinks'] + "\n" if global_cat[indicator_code]['sourcelinks'] else ''
         source_description['additionalInfo'] += "Other web links:\n" + global_cat[indicator_code]['weblinks'] + "\n" if global_cat[indicator_code]['weblinks'] else ''
         source_description['dataPublisherSource'] = global_cat[indicator_code]['source']
         newsource.description=json.dumps(source_description)
         newsource.datasetId=newdataset.pk
         newsource.save()
         logger.info("Updating the source %s." % newsource.name.encode('utf8'))
         s_unit = short_unit_extract(global_cat[indicator_code]['unitofmeasure'])
         newvariable = Variable.objects.get(code=indicator_code, fk_dst_id__in=Dataset.objects.filter(namespace='findex'))
         newvariable.name = global_cat[indicator_code]['name']