def discussions_csv(org):
datasets = Dataset.objects.filter(organization=str(org.id))
discussions = [Discussion.objects.filter(subject=dataset)
for dataset in datasets]
# Turns a list of lists into a flat list.
adapter = IssuesOrDiscussionCsvAdapter(itertools.chain(*discussions))
return csv.stream(adapter, '{0}-discussions'.format(org.slug))
def discussions_csv(org):
datasets = Dataset.objects.filter(organization=str(org.id))
discussions = [DatasetDiscussion.objects.filter(subject=dataset)
for dataset in datasets]
# Turns a list of lists into a flat list.
adapter = IssuesOrDiscussionCsvAdapter(itertools.chain(*discussions))
return csv.stream(adapter, '{0}-discussions'.format(org.slug))
def organizations_csv():
params = multi_to_dict(request.args)
# redirect to EXPORT_CSV dataset if feature is enabled and no filter is set
exported_models = current_app.config.get('EXPORT_CSV_MODELS', [])
if not params and 'organization' in exported_models:
return redirect(get_export_url('organization'))
params['facets'] = False
organizations = search.iter(Organization, **params)
return csv.stream(OrganizationCsvAdapter(organizations), 'organizations')
def organizations_csv():
params = multi_to_dict(request.args)
# redirect to EXPORT_CSV dataset if feature is enabled and no filter is set
exported_models = current_app.config.get('EXPORT_CSV_MODELS', [])
if not params and 'organization' in exported_models:
return redirect(get_export_url('organization'))
params['facets'] = False
organizations = search.iter(Organization, **params)
return csv.stream(OrganizationCsvAdapter(organizations), 'organizations')
def reuses_csv():
params = multi_to_dict(request.args)
# redirect to EXPORT_CSV dataset if feature is enabled and no filter is set
exported_models = current_app.config.get('EXPORT_CSV_MODELS', [])
if not params and 'reuse' in exported_models:
return redirect(get_export_url('reuse'))
params['facets'] = False
reuses = search.iter(Reuse, **params)
return csv.stream(ReuseCsvAdapter(reuses), 'reuses')
def reuses_csv():
params = multi_to_dict(request.args)
# redirect to EXPORT_CSV dataset if feature is enabled and no filter is set
exported_models = current_app.config.get('EXPORT_CSV_MODELS', [])
if not params and 'reuse' in exported_models:
return redirect(get_export_url('reuse'))
params['facets'] = False
reuses = search.iter(Reuse, **params)
return csv.stream(ReuseCsvAdapter(reuses), 'reuses')
def datasets_csv():
params = multi_to_dict(request.args)
# redirect to EXPORT_CSV dataset if feature is enabled and no filter is set
exported_models = current_app.config.get('EXPORT_CSV_MODELS', [])
if not params and 'dataset' in exported_models:
return redirect(get_export_url('dataset'))
params['facets'] = False
datasets = search.iter(Dataset, **params)
adapter = csv.get_adapter(Dataset)
return csv.stream(adapter(datasets), 'datasets')
def datasets_csv():
params = multi_to_dict(request.args)
# redirect to EXPORT_CSV dataset if feature is enabled and no filter is set
exported_models = current_app.config.get('EXPORT_CSV_MODELS', [])
if not params and 'dataset' in exported_models:
return redirect(get_export_url('dataset'))
params['facets'] = False
datasets = search.iter(Dataset, **params)
adapter = csv.get_adapter(Dataset)
return csv.stream(adapter(datasets), 'datasets')
def datasets_resources_csv(org):
datasets = search.iter(Dataset, organization=str(org.id))
adapter = ResourcesCsvAdapter(datasets)
return csv.stream(adapter, '{0}-datasets-resources'.format(org.slug))
def from_nested():
qs = Fake.objects
return csv.stream(NestedAdapter(qs))
def datasets_resources_csv(org):
datasets = search.iter(Dataset, organization=str(org.id))
adapter = ResourcesCsvAdapter(datasets)
return csv.stream(adapter, '{0}-datasets-resources'.format(org.slug))
def datasets_csv():
params = multi_to_dict(request.args)
params['facets'] = False
datasets = search.iter(Dataset, **params)
adapter = csv.get_adapter(Dataset)
return csv.stream(adapter(datasets), 'datasets')
def datasets_csv():
params = multi_to_dict(request.args)
params['facets'] = False
datasets = search.iter(Dataset, **params)
adapter = csv.get_adapter(Dataset)
return csv.stream(adapter(datasets), 'datasets')
def organizations_csv():
params = multi_to_dict(request.args)
params['facets'] = False
organizations = search.iter(Organization, **params)
return csv.stream(OrganizationCsvAdapter(organizations), 'organizations')
def from_nested():
qs = Fake.objects
return csv.stream(NestedAdapter(qs))
def from_list():
return csv.stream(list(Fake.objects))
def supplied_datasets_resources_csv(org):
datasets = Dataset.objects.filter(supplier=str(org.id))
adapter = ResourcesCsvAdapter(datasets)
return csv.stream(adapter,
'{0}-supplied-datasets-resources'.format(org.slug))
def from_queryset():
qs = Fake.objects
assert isinstance(qs, db.BaseQuerySet)
return csv.stream(qs)
def tags_csv():
adapter = TagCsvAdapter(Tag.objects.order_by('-total'))
return csv.stream(adapter, 'tags')
def organizations_csv():
params = multi_to_dict(request.args)
params['facets'] = False
organizations = search.iter(Organization, **params)
return csv.stream(OrganizationCsvAdapter(organizations), 'organizations')
def resources_csv():
params = multi_to_dict(request.args)
params['facets'] = False
datasets = search.iter(Dataset, **params)
return csv.stream(ResourcesCsvAdapter(datasets), 'resources')
def with_basename():
cls = csv.get_adapter(Fake)
adapter = cls(Fake.objects)
return csv.stream(adapter, 'test')
def tags_csv():
adapter = TagCsvAdapter(Tag.objects.order_by('-total'))
return csv.stream(adapter, 'tags')
def from_adapter():
cls = csv.get_adapter(Fake)
adapter = cls(Fake.objects)
return csv.stream(adapter)
def datasets_csv(org):
datasets = search.iter(Dataset, organization=str(org.id))
adapter = DatasetCsvAdapter(datasets)
return csv.stream(adapter, "{0}-datasets".format(org.slug))
def from_queryset():
qs = Fake.objects
assert isinstance(qs, db.BaseQuerySet)
return csv.stream(qs)
def from_list():
return csv.stream(list(Fake.objects))
def resources_csv():
params = multi_to_dict(request.args)
params['facets'] = False
datasets = search.iter(Dataset, **params)
return csv.stream(ResourcesCsvAdapter(datasets), 'resources')
def supplied_datasets_resources_csv(org):
datasets = Dataset.objects.filter(supplier=str(org.id))
adapter = ResourcesCsvAdapter(datasets)
return csv.stream(adapter,
'{0}-supplied-datasets-resources'.format(org.slug))
def reuses_csv():
params = multi_to_dict(request.args)
params['facets'] = False
reuses = search.iter(Reuse, **params)
return csv.stream(ReuseCsvAdapter(reuses), 'reuses')
def supplied_datasets_resources_csv(org):
datasets = search.iter(Dataset, supplier=str(org.id))
adapter = ResourcesCsvAdapter(datasets)
return csv.stream(adapter,
'{0}-supplied-datasets-resources'.format(org.slug))
def with_basename():
cls = csv.get_adapter(Fake)
adapter = cls(Fake.objects)
return csv.stream(adapter, 'test')
def reuses_csv():
params = multi_to_dict(request.args)
params['facets'] = False
reuses = search.iter(Reuse, **params)
return csv.stream(ReuseCsvAdapter(reuses), 'reuses')
def from_adapter():
cls = csv.get_adapter(Fake)
adapter = cls(Fake.objects)
return csv.stream(adapter)
def supplied_datasets_resources_csv(org):
datasets = search.iter(Dataset, supplier=str(org.id))
adapter = ResourcesCsvAdapter(datasets)
return csv.stream(adapter, '{0}-supplied-datasets-resources'.format(org.slug))