def classified_entries(self, key=None):
self._initialize()
results = DAList()
results.gathered = True
results.set_random_instance_name()
if key is None:
query = db.session.execute(
select(MachineLearning).filter_by(
group_id=self.group_id,
active=True).order_by(MachineLearning.id)).scalars()
else:
query = db.session.execute(
select(MachineLearning).filter_by(
group_id=self.group_id, active=True,
key=key).order_by(MachineLearning.id)).scalars()
for entry in query:
results.appendObject(
MachineLearningEntry,
ml=self,
id=entry.id,
independent=fix_pickle_obj(
codecs.decode(
bytearray(entry.independent, encoding='utf-8'),
'base64')),
dependent=fix_pickle_obj(
codecs.decode(bytearray(entry.dependent, encoding='utf-8'),
'base64')),
info=fix_pickle_obj(
codecs.decode(bytearray(entry.info, encoding='utf-8'),
'base64'))
if entry.info is not None else None,
create_time=entry.create_time,
key=entry.key)
return results
def offices_for(org, by_proximity_to=None):
if org is None:
return None
params = copy.copy(office_base_params)
params['where'] = "recipID={}".format(org.rin)
r = requests.get(office_base_url, params=params)
if r.status_code != 200:
raise Exception(
'offices_for: got error code {} from ArcGIS. Response: {}'.format(
r.status_code, r.text))
result = r.json()
offices = DAList(object_type=Address)
offices.set_random_instance_name()
for office_data in result['features']:
attribs = office_data['attributes']
office = offices.appendObject()
office.address = attribs['address'].strip()
office.city = attribs['City'].strip()
office.state = attribs['State'].strip()
office.zip = attribs['ZIP'].strip()
office.location.longitude = attribs['Longitude']
office.location.latitude = attribs['Latitude']
office.office_type = attribs['officetype'].strip()
if attribs['bldgSuite']:
office.unit = attribs['bldgSuite'].strip()
if by_proximity_to:
office.distance = distance_between(by_proximity_to.address, office)
offices.gathered = True
if by_proximity_to:
by_proximity_to.address.geolocate()
if not by_proximity_to.address.geolocate_success:
raise Exception('offices_for: failure to geolocate address')
offices.elements = sorted(offices.elements, key=lambda y: y.distance)
offices._reset_instance_names()
return offices
def filter(cls, instance_name, **kwargs):
if 'dbcache' not in this_thread.misc:
this_thread.misc['dbcache'] = {}
listobj = DAList(instance_name, object_type=cls, auto_gather=False)
filters = []
for key, val in kwargs.items():
if not hasattr(cls._model, key):
raise Exception("filter: class " + cls.__name__ +
" does not have column " + key)
filters.append(getattr(cls._model, key) == val)
for db_entry in list(
cls._session.query(cls._model).filter(*filters).order_by(
cls._model.id).all()):
if cls._model.__name__ in this_thread.misc[
'dbcache'] and db_entry.id in this_thread.misc['dbcache'][
cls._model.__name__]:
listobj.append(this_thread.misc['dbcache'][cls._model.__name__]
[db_entry.id])
else:
obj = listobj.appendObject()
obj.id = db_entry.id
db_values = {}
for column in cls._model.__dict__.keys():
if column == 'id' or column.startswith('_'):
continue
db_values[column] = getattr(db_entry, column)
if db_values[column] is not None:
obj.db_set(column, db_values[column])
obj._orig = db_values
obj.db_cache()
listobj.gathered = True
return listobj
def all(cls, instance_name=None):
if 'dbcache' not in this_thread.misc:
this_thread.misc['dbcache'] = {}
if instance_name:
listobj = DAList(instance_name, object_type=cls)
else:
listobj = DAList(object_type=cls)
listobj.set_random_instance_name()
for db_entry in list(
cls._session.query(cls._model).order_by(cls._model.id).all()):
if cls._model.__name__ in this_thread.misc[
'dbcache'] and db_entry.id in this_thread.misc['dbcache'][
cls._model.__name__]:
listobj.append(this_thread.misc['dbcache'][cls._model.__name__]
[db_entry.id])
else:
obj = listobj.appendObject()
obj.id = db_entry.id
db_values = {}
for column in cls._model.__dict__.keys():
if column == 'id' or column.startswith('_'):
continue
db_values[column] = getattr(db_entry, column)
if db_values[column] is not None:
obj.db_set(column, db_values[column])
obj._orig = db_values
obj.db_cache()
listobj.gathered = True
return listobj
def offices_for(org):
if org is None:
return None
params = copy.copy(office_base_params)
params['where'] = "recipID={}".format(org.rin)
r = requests.get(office_base_url, params=params)
if r.status_code != 200:
raise Exception(
'offices_for: got error code {} from ArcGIS. Response: {}'.format(
r.status_code, r.text))
result = r.json()
offices = DAList(object_type=Address)
offices.set_random_instance_name()
for office_data in result['features']:
attribs = office_data['attributes']
office = offices.appendObject()
office.address = attribs['address'].strip()
office.city = attribs['City'].strip()
office.state = attribs['State'].strip()
office.zip = attribs['ZIP'].strip()
office.location.longitude = attribs['Longitude']
office.location.latitude = attribs['Latitude']
office.office_type = attribs['officetype'].strip()
if attribs['bldgSuite']:
office.unit = attribs['bldgSuite'].strip()
offices.gathered = True
return offices
def cities_near(org, person):
offices = offices_for(org)
person.address.geolocate()
if not person.address.geolocate_success:
raise Exception('cities_near: failure to geolocate address')
cities = DAList(gathered=True)
cities.set_random_instance_name()
for y in sorted(offices,
key=lambda y: distance_between(person.address, y)):
if y.city not in cities:
cities.append(y.city)
cities.gathered = True
return cities
