def signers_who_did_not_sign(self):
result = DAList()
result.set_random_instance_name()
for code, info in self.info_by_code.items():
if not info['signed']:
result.append(info['signer'])
return result
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 get_parent(self, rel_name, instance_name=None):
if not self.ready():
raise Exception("get_parent: cannot retrieve data")
info = self._parent_mapping[rel_name]
model = info['relationship_class']._model
if instance_name:
results = DAList(instance_name, object_type=info['parent_class'])
else:
results = []
indexno = 0
if instance_name is None:
for db_entry in list(
self._session.query(model).filter(
model.getattr(info['child_column']) == self.id).all()):
results.append(info['parent_class'].by_id(
db_entry.getattr(info['parent_column'])))
else:
for db_entry in list(
self._session.query(model).filter(
model.getattr(info['child_column']) == self.id).all()):
results.append(info['parent_class'].by_id(
db_entry.getattr(info['parent_column'])),
instance_name=instance_name + '[' +
str(indexno) + ']')
indexno += 1
return results
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 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
class MJFClientData(DAObject):
"""
This class is simply an object that populates and
stores a list of invitees. Invitees are stored in
the public `self.clients_list`
"""
def init(self, *pargs, **kwargs):
"""
Not sure why this is called `init` and not
`__init__` but this seems how DA objects are
initialised.
Parameters
----------
Standard params for initialising `super()`
"""
super().init(*pargs, **kwargs)
self.clients_list = DAList()
self.clients_list.auto_gather = False
self.populated = False
def read_in_data(self, data_file):
"""
Reads data from an excel file and populates the
internal DAList
Use Pandas to read the spreadsheet into a
data map
Parameters
----------
data_file : DAFileList() with a single file
"""
file_path = data_file.path()
self._data_map = pd.read_excel(file_path)
self.populate_client_data()
self.populated = True
def populate_client_data(self):
# Will only return required fields
# TODO: field sanity checking
# a DAList of DADicts ie:
# - first_name:
# last_name:
# email:
# organisation:
# - first_name
# ...
self.clients_list.clear()
self.clients_list.auto_gather = False
for index, row in self._data_map.iterrows():
result_item = DADict()
result_item['first_name'] = row['First Name']
result_item['last_name'] = row['Last Name']
result_item['email'] = row['Email']
result_item['app_name'] = row['Name of App']
result_item['app_link'] = row['Link to App']
result_item['video_link'] = row['Link to Video']
# Not using this right now
#result_item['licence_agreement'] = row['Licence Agreement']
self.clients_list.append(result_item)
def get_populated(self):
return self._populated
def list_of_signers(self):
result = DAList()
result.set_random_instance_name()
for code, info in self.info_by_code.items():
result.append(info['signer'])
return result
