def save(self):
id_ = getattr(self, "id", None)
method = "put" if id_ else "post"
resp = request(method, self._get_path(id_), data=self.to_dict())
self.clear()
self.update(convert_to_analyzere_object(resp))
return self
def save(self):
id_ = getattr(self, 'id', None)
method = 'put' if id_ else 'post'
resp = request(method, self._get_path(id_), data=self.to_dict())
self.clear()
self.update(convert_to_analyzere_object(resp))
return self
def result(self):
warnings.warn(
"result() is deprecated, use candidates() instead to page over results",
DeprecationWarning
)
path = '{}/result'.format(self._get_path(self.id))
resp = request('get', path)
return convert_to_analyzere_object(resp)
def initial_metrics(self):
"""
The name of this method is chosen to avoid overlap with the initial_portfolio_metrics property of the
OptimizationView
"""
path = '{}/initial_portfolio_metrics'.format(self._get_path(self.id))
resp = request('get', path)
return convert_to_analyzere_object(resp)
def marginal(self, layer_views_to_add, layer_views_to_remove):
path = 'portfolio_view_marginals'
data = request('post', path, data={
'portfolio_view_id': to_dict(self.reference()),
'add_layer_view_ids': [to_dict(lv.reference()) for lv in layer_views_to_add],
'remove_layer_view_ids': [to_dict(lv.reference()) for lv in layer_views_to_remove]
})
return load_reference('portfolio_views', data['portfolio_view']['ref_id'])
def currencies(self):
path = '{}/currencies'.format(self._get_path(self.id))
resp = request('get', path)
# response will be an embedded object with currencies list
# each element of the currencies list is again an embedded object with the structure like:
# {
# "code": "CAD"
# }
return convert_to_analyzere_object(resp)
def sensitivity_analysis(self, candidates=[]):
# candidates can be only non negative integers
candidates = list(filter(lambda x: isinstance(x, int) and x >= 0, candidates))
if len(candidates) == 0:
path = '{}/sensitivity_analysis'.format(self._get_path(self.id))
else:
path = '{}/sensitivity_analysis?candidates={}'.format(self._get_path(self.id),
','.join(str(c) for c in candidates))
resp = request('get', path)
return convert_to_analyzere_object(resp)
def candidate_parameters(self, index=None):
if index is None:
path = '{}/candidate_parameters'.format(self._get_path(self.id))
else:
try:
index = int(index)
except ValueError:
raise Exception('index argument provided to OptimizationView.candidate_parameters() must be an integer')
path = '{}/candidate_parameters/{}'.format(self._get_path(self.id), index)
resp = request('get', path)
return convert_to_analyzere_object(resp, Candidate, optimization_view_id=self.id)
def el(self, auto_retry=True, **params):
path = '{}/el'.format(self._get_path(self.id))
return float(request('get', path, params=params,
auto_retry=auto_retry))
def _get_metrics(self, path, params=None, auto_retry=True):
resp = request('get', path, params=params, auto_retry=auto_retry)
return convert_to_analyzere_object(resp)
def result(self):
path = "%s/result" % self._get_path(self.id)
resp = request("get", path)
return convert_to_analyzere_object(resp)
def profile(self):
path = '%s/profile' % self._get_path(self.id)
resp = request('get', path)
return convert_to_analyzere_object(resp)
def _get_metrics(self, path, params=None, auto_retry=True):
resp = request("get", path, params=params, auto_retry=auto_retry)
return convert_to_analyzere_object(resp)
def test_empty_str_response_deserialized(self, reqmock):
reqmock.get('https://api/bar', status_code=200, text='')
assert request('get', 'bar') == ''
def test_malformed_response(self, reqmock):
reqmock.get('https://api/bar', status_code=200, text='{foo')
with pytest.raises(ServerError):
request('get', 'bar')
def test_empty_str_request_serialized(self, reqmock):
reqmock.post('https://api/bar', status_code=201)
request('post', 'bar', data='')
assert reqmock.last_request.body == '""'
def test_response_deserialized(self, reqmock):
reqmock.get('https://api/bar', status_code=200, text='{"foo": "bar"}')
assert request('get', 'bar') == {'foo': 'bar'}
def test_none_request_serialized(self, reqmock):
reqmock.post('https://api/bar', status_code=201)
request('post', 'bar', data=None)
assert reqmock.last_request.body is None
def test_request_serialized(self, reqmock):
reqmock.post('https://api/bar', status_code=201)
request('post', 'bar', data={'foo': 'bar'})
assert reqmock.last_request.body == '{"foo": "bar"}'
def test_request_user_agent(self, reqmock):
reqmock.post('https://api/bar', status_code=201)
request('post', 'bar', data=None)
assert (
reqmock.last_request.headers['User-Agent'] == analyzere.user_agent)
def back_allocation(self, source_id, auto_retry=True, **params):
params['source_id'] = source_id
path = '{}/back_allocations'.format(self._get_path(self.id))
data = request('get', path, auto_retry=auto_retry, params=params)
return convert_to_analyzere_object(data)
def result(self):
path = '%s/result' % self._get_path(self.id)
resp = request('get', path)
return convert_to_analyzere_object(resp)
def el(self, auto_retry=True, **params):
path = "%s/el" % self._get_path(self.id)
return float(request("get", path, params=params, auto_retry=auto_retry))
def test_request_serialized(self, reqmock):
reqmock.post("https://api/bar", status_code=201)
request("post", "bar", data={"foo": "bar"})
assert reqmock.last_request.body == '{"foo": "bar"}'
def upload_status(self):
resp = request("get", self._status_path)
return convert_to_analyzere_object(resp)
def test_empty_str_request_serialized(self, reqmock):
reqmock.post("https://api/bar", status_code=201)
request("post", "bar", data="")
assert reqmock.last_request.body == '""'
def candidate_metrics(self):
path = '{}/candidate_metrics'.format(self._get_path(self.id))
resp = request('get', path)
return convert_to_analyzere_object(resp)
def test_empty_str_response_deserialized(self, reqmock):
reqmock.get("https://api/bar", status_code=200, text="")
assert request("get", "bar") == ""
def portfolio_view(self):
path = '{}/candidates/{}/portfolio_view'.format(OptimizationView._get_path(self.optimization_view_id),
self.index)
resp = request('get', path)
return convert_to_analyzere_object(resp, PortfolioView)
def list(cls, **params):
resp = request("get", cls._get_path(), params=params)
return convert_to_analyzere_object(resp, cls)
def retrieve(cls, id_):
resp = request('get', cls._get_path(id_))
return convert_to_analyzere_object(resp, cls)
def back_allocation(self, source_id, auto_retry=True, **params):
params["source_id"] = source_id
path = "%s/back_allocations" % self._get_path(self.id)
data = request("get", path, auto_retry=auto_retry, params=params)
return convert_to_analyzere_object(data)
def test_none_request_serialized(self, reqmock):
reqmock.post("https://api/bar", status_code=201)
request("post", "bar", data=None)
assert reqmock.last_request.body is None
def list(cls, **params):
resp = request('get', cls._get_path(), params=params)
return convert_to_analyzere_object(resp, cls)
def test_response_deserialized(self, reqmock):
reqmock.get("https://api/bar", status_code=200, text='{"foo": "bar"}')
assert request("get", "bar") == {"foo": "bar"}
def upload_status(self):
resp = request('get', self._status_path)
return convert_to_analyzere_object(resp)
def test_malformed_response(self, reqmock):
reqmock.get("https://api/bar", status_code=200, text="{foo")
with pytest.raises(ServerError):
request("get", "bar")
def retrieve(cls, id_):
resp = request("get", cls._get_path(id_))
return convert_to_analyzere_object(resp, cls)