def get(self, org):
'''List organization discussions'''
reuses = Reuse.objects(organization=org).only('id')
datasets = Dataset.objects(organization=org).only('id')
subjects = list(reuses) + list(datasets)
qs = Discussion.objects(subject__in=subjects).order_by('-created')
return list(qs)
def get(self, org):
'''List organization discussions'''
reuses = Reuse.objects(organization=org).only('id')
datasets = Dataset.objects(organization=org).only('id')
subjects = list(reuses) + list(datasets)
qs = Discussion.objects(subject__in=subjects).order_by('-created')
return list(qs)
def get(self, org):
"""List organization discussions"""
reuses_ids = [r.id for r in Reuse.objects(organization=org).only("id")]
datasets_ids = [d.id for d in Dataset.objects(organization=org).only("id")]
ids = reuses_ids + datasets_ids
qs = Discussion.objects(subject__in=ids).order_by("-created")
return list(qs)
def get(self, org):
'''List organization discussions'''
reuses_ids = [r.id for r in Reuse.objects(organization=org).only('id')]
datasets_ids = [d.id
for d in Dataset.objects(organization=org).only('id')]
ids = reuses_ids + datasets_ids
qs = Discussion.objects(subject__in=ids).order_by('-created')
return list(qs)
def get(self, org):
'''List organization issues'''
reuses_ids = [r.id for r in Reuse.objects(organization=org).only('id')]
datasets_ids = [d.id
for d in Dataset.objects(organization=org).only('id')]
ids = reuses_ids + datasets_ids
qs = Issue.objects(subject__in=ids).order_by('-created')
return list(qs)
def preview(domain, id):
if current_app.config.get('PREVIEW_MODE') is None:
abort(404)
dataset = Dataset.objects(__raw__={
'extras.harvest:remote_id': id,
'extras.harvest:domain': domain
}).first()
if not dataset:
abort(404)
return render_template('preview.html', dataset=dataset)
def get(self, org, format):
if org.deleted:
api.abort(410)
params = multi_to_dict(request.args)
page = int(params.get('page', 1))
page_size = int(params.get('page_size', 100))
datasets = Dataset.objects(organization=org).visible().paginate(page, page_size)
catalog = build_org_catalog(org, datasets, format=format)
# bypass flask-restplus make_response, since graph_response
# is handling the content negociation directly
return make_response(*graph_response(catalog, format))
def migrate():
'''
Migrate zones from old to new ids in datasets.
Should only be run once with the new version of geozones w/ geohisto.
'''
counter = Counter(['zones', 'datasets'])
qs = GeoZone.objects.only('id', 'level', 'successors')
# Iter over datasets with zones
for dataset in Dataset.objects(spatial__zones__gt=[]):
counter['datasets'] += 1
new_zones = []
for current_zone in dataset.spatial.zones:
counter['zones'] += 1
level, code, validity = geoids.parse(current_zone.id)
zone = qs(level=level, code=code).valid_at(validity).first()
if not zone:
log.warning('No match for %s: skipped', current_zone.id)
counter['skipped'] += 1
continue
previous = None
while not zone.is_current and len(zone.successors) == 1 and zone.id != previous:
previous = zone.id
zone = qs(id=zone.successors[0]).first() or zone
new_zones.append(zone.id)
counter[zone.level] += 1
dataset.update(
spatial=SpatialCoverage(
granularity=dataset.spatial.granularity,
zones=list(new_zones)
)
)
level_summary = '\n'.join([
' - {0}: {1}'.format(l.id, counter[l.id])
for l in GeoLevel.objects.order_by('admin_level')
])
summary = '\n'.join([dedent('''\
Summary
=======
Processed {zones} zones in {datasets} datasets:\
'''.format(level_summary, **counter)), level_summary])
log.info(summary)
log.info('Done')
def migrate():
'''
Migrate zones from old to new ids in datasets.
Should only be run once with the new version of geozones w/ geohisto.
'''
counter = Counter()
drom_zone = GeoZone.objects(id='country-subset:fr:drom').first()
dromcom_zone = GeoZone.objects(id='country-subset:fr:dromcom').first()
# Iter over datasets with zones
for dataset in Dataset.objects(spatial__zones__gt=[]):
counter['datasets'] += 1
new_zones = []
for zone in dataset.spatial.zones:
if zone.id.startswith('fr/'):
counter['zones'] += 1
country, kind, zone_id = zone.id.split('/')
zone_id = zone_id.upper() # Corsica 2a/b case.
if kind == 'town':
counter['towns'] += 1
new_zones.append(
GeoZone
.objects(code=zone_id, level='fr:commune')
.valid_at(date.today())
.first())
elif kind == 'county':
counter['counties'] += 1
new_zones.append(
GeoZone
.objects(code=zone_id, level='fr:departement')
.valid_at(date.today())
.first())
elif kind == 'region':
counter['regions'] += 1
# Only link to pre-2016 regions which kept the same id.
new_zones.append(
GeoZone
.objects(code=zone_id, level='fr:region')
.first())
elif kind == 'epci':
counter['epcis'] += 1
new_zones.append(
GeoZone
.objects(code=zone_id, level='fr:epci')
.valid_at(dataset.created_at.date())
.first())
else:
new_zones.append(zone)
elif zone.id.startswith('country-subset/fr'):
counter['zones'] += 1
subset, country, kind = zone.id.split('/')
if kind == 'dom':
counter['drom'] += 1
new_zones.append(drom_zone)
elif kind == 'domtom':
counter['dromcom'] += 1
new_zones.append(dromcom_zone)
elif zone.id.startswith('country/'):
counter['zones'] += 1
counter['countries'] += 1
new_zones.append(zone.id.replace('/', ':'))
elif zone.id.startswith('country-group/'):
counter['zones'] += 1
counter['countrygroups'] += 1
new_zones.append(zone.id.replace('/', ':'))
else:
new_zones.append(zone)
dataset.update(
spatial=SpatialCoverage(
granularity=dataset.spatial.granularity,
zones=[getattr(z, 'id', z) for z in new_zones if z]
)
)
log.info(Formatter().vformat('''Summary
Processed {zones} zones in {datasets} datasets:
- {countrygroups} country groups (World/UE)
- {countries} countries
- France:
- {regions} regions
- {counties} counties
- {epcis} EPCIs
- {towns} towns
- {drom} DROM
- {dromcom} DROM-COM
''', (), counter))
log.info('Done')
def migrate():
'''
Migrate zones from old to new ids in datasets.
Should only be run once with the new version of geozones w/ geohisto.
'''
counter = Counter()
drom_zone = GeoZone.objects(id='country-subset:fr:drom').first()
dromcom_zone = GeoZone.objects(id='country-subset:fr:dromcom').first()
# Iter over datasets with zones
for dataset in Dataset.objects(spatial__zones__gt=[]):
counter['datasets'] += 1
new_zones = []
for zone in dataset.spatial.zones:
if zone.id.startswith('fr/'):
counter['zones'] += 1
country, kind, zone_id = zone.id.split('/')
zone_id = zone_id.upper() # Corsica 2a/b case.
if kind == 'town':
counter['towns'] += 1
new_zones.append(
GeoZone
.objects(code=zone_id, level='fr:commune')
.valid_at(date.today())
.first())
elif kind == 'county':
counter['counties'] += 1
new_zones.append(
GeoZone
.objects(code=zone_id, level='fr:departement')
.valid_at(date.today())
.first())
elif kind == 'region':
counter['regions'] += 1
# Only link to pre-2016 regions which kept the same id.
new_zones.append(
GeoZone
.objects(code=zone_id, level='fr:region')
.first())
elif kind == 'epci':
counter['epcis'] += 1
new_zones.append(
GeoZone
.objects(code=zone_id, level='fr:epci')
.valid_at(dataset.created_at.date())
.first())
else:
new_zones.append(zone)
elif zone.id.startswith('country-subset/fr'):
counter['zones'] += 1
subset, country, kind = zone.id.split('/')
if kind == 'dom':
counter['drom'] += 1
new_zones.append(drom_zone)
elif kind == 'domtom':
counter['dromcom'] += 1
new_zones.append(dromcom_zone)
elif zone.id.startswith('country/'):
counter['zones'] += 1
counter['countries'] += 1
new_zones.append(zone.id.replace('/', ':'))
elif zone.id.startswith('country-group/'):
counter['zones'] += 1
counter['countrygroups'] += 1
new_zones.append(zone.id.replace('/', ':'))
else:
new_zones.append(zone)
dataset.update(
spatial=SpatialCoverage(
granularity=dataset.spatial.granularity,
zones=[getattr(z, 'id', z) for z in new_zones if z]
)
)
log.info(Formatter().vformat('''Summary
Processed {zones} zones in {datasets} datasets:
- {countrygroups} country groups (World/UE)
- {countries} countries
- France:
- {regions} regions
- {counties} counties
- {epcis} EPCIs
- {towns} towns
- {drom} DROM
- {dromcom} DROM-COM
''', (), counter))
log.info('Done')
def get_dataset(id_or_slug):
obj = Dataset.objects(slug=id_or_slug).first()
return obj or Dataset.objects.get(id=id_or_slug)
def count_max_dataset_followers(self):
dataset = (Dataset.objects(metrics__followers__gt=0).visible().
order_by('-metrics.followers').first())
self.metrics['max_dataset_followers'] = dataset.metrics[
'followers'] if dataset else 0
self.save()
def count_max_dataset_reuses(self):
dataset = (Dataset.objects(metrics__reuses__gt=0).visible().order_by(
'-metrics.reuses').first())
self.metrics[
'max_dataset_reuses'] = dataset.metrics['reuses'] if dataset else 0
self.save()
