class RetryHTTPProvider(HTTPProvider):
"""RetryHTTPProvider is a custom HTTPProvider that retries failed http requests."""
def __init__(self, endpoint_uri, request_kwargs=None):
super(RetryHTTPProvider, self).__init__(endpoint_uri, request_kwargs)
def make_request(self, method, params):
"""overrides the parent method to replace `make_post_request` with custom implementation"""
request_data = self.encode_rpc_request(method, params)
raw_response = self.retriable_post_request(request_data) # instead of make_post_request
response = self.decode_rpc_response(raw_response)
return response
@backoff.on_exception(
lambda: backoff.expo(factor=0.2),
requests.exceptions.RequestException,
max_tries=4,
giveup=lambda e: e.response is not None and 400 <= e.response.status_code < 500
)
def retriable_post_request(self, request_data):
return make_post_request(
self.endpoint_uri,
request_data,
**self.get_request_kwargs()
)
def _export(self, data: TypingSequence[SDKDataT]) -> ExportResultT:
# expo returns a generator that yields delay values which grow
# exponentially. Once delay is greater than max_value, the yielded
# value will remain constant.
# max_value is set to 900 (900 seconds is 15 minutes) to use the same
# value as used in the Go implementation.
max_value = 900
for delay in expo(max_value=max_value):
if delay == max_value:
return self._result.FAILURE
try:
self._client.Export(
request=self._translate_data(data),
metadata=self._headers,
timeout=self._timeout,
)
return self._result.SUCCESS
except RpcError as error:
if error.code() in [
StatusCode.CANCELLED,
StatusCode.DEADLINE_EXCEEDED,
StatusCode.PERMISSION_DENIED,
StatusCode.UNAUTHENTICATED,
StatusCode.RESOURCE_EXHAUSTED,
StatusCode.ABORTED,
StatusCode.OUT_OF_RANGE,
StatusCode.UNAVAILABLE,
StatusCode.DATA_LOSS,
]:
retry_info_bin = dict(error.trailing_metadata()).get(
"google.rpc.retryinfo-bin"
)
if retry_info_bin is not None:
retry_info = RetryInfo()
retry_info.ParseFromString(retry_info_bin)
delay = (
retry_info.retry_delay.seconds
+ retry_info.retry_delay.nanos / 1.0e9
)
logger.debug(
"Waiting %ss before retrying export of span", delay
)
sleep(delay)
continue
if error.code() == StatusCode.OK:
return self._result.SUCCESS
return self._result.FAILURE
return self._result.FAILURE
def export(self, spans) -> SpanExportResult:
# After the call to Shutdown subsequent calls to Export are
# not allowed and should return a Failure result.
if self._shutdown:
_logger.warning("Exporter already shutdown, ignoring batch")
return SpanExportResult.FAILURE
serialized_data = _ProtobufEncoder.serialize(spans)
for delay in expo(max_value=self._MAX_RETRY_TIMEOUT):
if delay == self._MAX_RETRY_TIMEOUT:
return SpanExportResult.FAILURE
resp = self._export(serialized_data)
# pylint: disable=no-else-return
if resp.status_code in (200, 202):
return SpanExportResult.SUCCESS
elif self._retryable(resp):
_logger.warning(
"Transient error %s encountered while exporting span batch, retrying in %ss.",
resp.reason,
delay,
)
sleep(delay)
continue
else:
_logger.error(
"Failed to export batch code: %s, reason: %s",
resp.status_code,
resp.text,
)
return SpanExportResult.FAILURE
return SpanExportResult.FAILURE
def _export(self, data: TypingSequence[SDKDataT]) -> ExportResultT:
max_value = 64
# expo returns a generator that yields delay values which grow
# exponentially. Once delay is greater than max_value, the yielded
# value will remain constant.
for delay in expo(max_value=max_value):
if delay == max_value:
return self._result.FAILURE
try:
self._client.Export(
request=self._translate_data(data),
metadata=self._headers,
timeout=self._timeout,
)
return self._result.SUCCESS
except RpcError as error:
if error.code() in [
StatusCode.CANCELLED,
StatusCode.DEADLINE_EXCEEDED,
StatusCode.RESOURCE_EXHAUSTED,
StatusCode.ABORTED,
StatusCode.OUT_OF_RANGE,
StatusCode.UNAVAILABLE,
StatusCode.DATA_LOSS,
]:
retry_info_bin = dict(error.trailing_metadata()).get(
"google.rpc.retryinfo-bin")
if retry_info_bin is not None:
retry_info = RetryInfo()
retry_info.ParseFromString(retry_info_bin)
delay = (retry_info.retry_delay.seconds +
retry_info.retry_delay.nanos / 1.0e9)
logger.warning(
"Transient error %s encountered while exporting span batch, retrying in %ss.",
error.code(),
delay,
)
sleep(delay)
continue
else:
logger.error(
"Failed to export span batch, error code: %s",
error.code(),
)
if error.code() == StatusCode.OK:
return self._result.SUCCESS
return self._result.FAILURE
return self._result.FAILURE
def expo_scaled() -> Iterator[float]:
"""A scaled version backoff.expo that doesn't wait as long."""
gen: Iterator[float] = backoff.expo(2, 0.1) # type: ignore
while True:
try:
yield next(gen) * 0.1 # Scaling factor
except StopIteration:
return
async def connect(self) -> None:
"""Connect to the websocket endpoint and process responses.
This will continuously loop until :meth:`EventClient.close` is
called.
If the WebSocket connection encounters and error, it will be
automatically restarted.
Any event payloads received will be passed to
:meth:`EventClient.dispatch` for filtering and event dispatch.
"""
# NOTE: When multiple triggers are added to the bot without an active
# websocket connection, this function may be scheduled multiple times.
if self._connect_lock.locked():
_log.debug('Websocket already running')
return
await self._connect_lock.acquire()
def on_success(details: Dict[str, Any]) -> None:
tries = int(details['tries'])
_log.debug('Connection successful after %d tries', tries)
def on_backoff(details: Dict[str, Any]) -> None:
wait = float(details['wait'])
tries = int(details['tries'])
_log.debug('Backing off %.2f seconds after %d failed attempt[s])',
wait, tries)
backoff_errors = (ConnectionRefusedError, ConnectionResetError,
websockets.exceptions.ConnectionClosed)
backoff_gen: Iterator[float] = backoff.expo( # type: ignore
base=10, factor=0.001, max_value=60.0)
backoff_wrap: _Decorator = backoff.on_exception( # type: ignore
lambda: backoff_gen,
backoff_errors,
on_backoff=on_backoff,
on_success=on_success,
jitter=None)
await backoff_wrap(self._connection_handler)()
class RetryHTTPProvider(HTTPProvider):
"""自定义可重试HTTPProvider模块
"""
def __init__(self, endpoint_uri, request_kwargs=None):
super(RetryHTTPProvider, self).__init__(endpoint_uri, request_kwargs)
def make_request(self, method, params):
request_data = self.encode_rpc_request(method, params)
raw_response = self.retriable_post_request(
request_data) # instead of make_post_request
response = self.decode_rpc_response(raw_response)
return response
@backoff.on_exception(
lambda: backoff.expo(factor=0.2),
requests.exceptions.RequestException,
max_tries=4,
giveup=
lambda e: e.response is not None and 400 <= e.response.status_code < 500
)
def retriable_post_request(self, request_data):
return make_post_request(self.endpoint_uri, request_data,
**self.get_request_kwargs())
def test_expo_base3():
gen = backoff.expo(base=3)
for i in range(9):
assert 3**i == next(gen)
_log.debug('Backing off %.2f seconds after %d attempt[s]: %s', wait,
tries, url)
def on_giveup(details: Dict[str, Any]) -> None:
elapsed: float = details['elapsed']
tries: int = details['tries']
_log.warning(
'Giving up on query and re-raising exception after %.2f '
'seconds and %d attempt[s]: %s', elapsed, tries, url)
_, exc_value, _ = sys.exc_info()
assert exc_value is not None
raise exc_value
backoff_errors = (aiohttp.ClientResponseError,
aiohttp.ClientConnectionError, MaintenanceError)
backoff_gen: Iterator[float] = backoff.expo( # type: ignore
base=10, factor=0.001, max_value=5.0)
@backoff.on_exception( # type: ignore
lambda: backoff_gen,
backoff_errors,
on_backoff=on_backoff,
on_giveup=on_giveup,
on_success=on_success,
max_tries=5,
jitter=None)
async def retry_query() -> aiohttp.ClientResponse:
"""Request handling wrapper."""
response = await session.get(url,
allow_redirects=False,
raise_for_status=True)
# Trigger MaintenanceErrors from redirect response. This will also be
def _backoff_expo():
return backoff.expo(max_value=30)
def test_expo():
gen = backoff.expo()
for i in range(9):
assert 2**i == next(gen)
def test_expo_max_value():
gen = backoff.expo(max_value=2**4)
expected = [1, 2, 4, 8, 16, 16, 16]
for expect in expected:
assert expect == next(gen)
def test_expo_base3_factor5():
gen = backoff.expo(base=3, factor=5)
for i in range(9):
assert 5 * 3**i == next(gen)
def expo_higher() -> Iterator[int]:
e = backoff.expo()
for _ in range(3):
next(e)
yield from e
def test_expo_base3():
gen = backoff.expo(base=3)
for i in range(9):
assert 3**i == next(gen)
def _backoff_expo():
return backoff.expo(max_value=30)
def backoff_wait_times():
"""Create a generator of wait times as [30, 60, 120, 240, 480, ...]"""
return backoff.expo(factor=30)
def test_expo_base3_init5():
gen = backoff.expo(base=3, init_value=5)
for i in range(9):
assert 5 * 3 ** i == next(gen)
def test_expo_init3():
gen = backoff.expo(init_value=3)
for i in range(9):
assert 3 * 2 ** i == next(gen)
def test_expo_max_value():
gen = backoff.expo(max_value=2**4)
expected = [1, 2, 4, 8, 16, 16, 16]
for expect in expected:
assert expect == next(gen)
def test_expo_factor3():
gen = backoff.expo(factor=3)
for i in range(9):
assert 3 * 2**i == next(gen)
def test_expo():
gen = backoff.expo()
for i in range(9):
assert 2**i == next(gen)
sys.stdout.write(f'\rPage {page} Batch {count}/{total_number_of_batches} for Table {table} copied '
f'successfully!')
except Exception as e:
sys.stdout.flush()
sys.stdout.write(f'\rPage {page} Batch {count}/{total_number_of_batches} for Table {table} failed '
f'to copy!: {e}')
else:
print('Batch is empty, skipping')
count += 1
sys.stdout.write('\n')
else:
print('Table {} is empty!'.format(table))
@backoff.on_predicate(backoff.expo(), lambda leftovers: len(leftovers) > 0, jitter=backoff.full_jitter)
def write_records(dst, records):
r = dst.batch_write_item(RequestItems=records)
return r['UnprocessedItems']
def get_total_items(table: str, aws_session: Session) -> list:
"""
A helper function to get programmatically all items from a table and
:param table: The table name to retrieve its items
:param aws_session: The AWS Session of the targeted AWS profile/region
:return: A list that contains all items
"""
d_client = aws_session.client('dynamodb')
print(f"Scanning table {table} in {aws_session.region_name}")
class GsSession(ContextBase):
__config = None
class Scopes(Enum):
READ_CONTENT = 'read_content'
READ_FINANCIAL_DATA = 'read_financial_data'
READ_PRODUCT_DATA = 'read_product_data'
READ_USER_PROFILE = 'read_user_profile'
MODIFY_CONTENT = 'modify_content'
MODIFY_FINANCIAL_DATA = 'modify_financial_data'
MODIFY_PRODUCT_DATA = 'modify_product_data'
MODIFY_USER_PROFILE = 'modify_user_profile'
RUN_ANALYTICS = 'run_analytics'
EXECUTE_TRADES = 'execute_trades'
@classmethod
def get_default(cls):
return [
cls.READ_CONTENT.value,
cls.READ_PRODUCT_DATA.value,
cls.READ_FINANCIAL_DATA.value
]
def __init__(self, domain: str, api_version: str = API_VERSION, application: str = DEFAULT_APPLICATION, verify=True,
http_adapter: requests.adapters.HTTPAdapter = None):
super().__init__()
self._session = None
self.domain = domain
self.api_version = api_version
self.application = application
self.verify = verify
self.http_adapter = requests.adapters.HTTPAdapter(pool_maxsize=100) if http_adapter is None else http_adapter
@backoff.on_exception(lambda: backoff.expo(factor=2),
(requests.exceptions.HTTPError, requests.exceptions.Timeout),
max_tries=5)
@backoff.on_predicate(lambda: backoff.expo(factor=2),
lambda x: x.status_code in (500, 502, 503, 504),
max_tries=5)
@abstractmethod
def _authenticate(self):
raise NotImplementedError("Must implement _authenticate")
def _on_enter(self):
self.__close_on_exit = self._session is None
if not self._session:
self.init()
def _on_exit(self, exc_type, exc_val, exc_tb):
if self.__close_on_exit:
self._session = None
def init(self):
if not self._session:
self._session = requests.Session()
if self.http_adapter is not None:
self._session.mount('https://', self.http_adapter)
self._session.verify = self.verify
self._session.headers.update({'X-Application': self.application})
self._authenticate()
def close(self):
self._session: requests.Session
if self._session:
# don't close a shared adapter
if self.http_adapter is None:
self._session.close()
self._session = None
def __del__(self):
self.close()
@staticmethod
def __unpack(results: Union[dict, list], cls: type) -> Union[Base, tuple, dict]:
if issubclass(cls, Base):
if isinstance(results, list):
return tuple(None if r is None else cls.from_dict(r) for r in results)
else:
return None if results is None else cls.from_dict(results)
else:
if isinstance(results, list):
return tuple(cls(**r) for r in results)
else:
return cls(**results)
def __request(
self,
method: str,
path: str,
payload: Optional[Union[dict, str, Base, pd.DataFrame]] = None,
request_headers: Optional[dict] = None,
cls: Optional[type] = None,
try_auth=True,
include_version: bool = True,
timeout: int = DEFAULT_TIMEOUT
) -> Union[Base, tuple, dict]:
is_dataframe = isinstance(payload, pd.DataFrame)
if not is_dataframe:
payload = payload or {}
url = '{}{}{}'.format(self.domain, '/' + self.api_version if include_version else '', path)
kwargs = {
'timeout': timeout
}
if method in ['GET', 'DELETE']:
kwargs['params'] = payload
elif method in ['POST', 'PUT']:
headers = self._session.headers.copy()
if request_headers:
headers.update({**{'Content-Type': 'application/json'}, **request_headers})
else:
headers.update({'Content-Type': 'application/json'})
kwargs['headers'] = headers
if is_dataframe or payload:
kwargs['data'] = payload if isinstance(payload, str) else json.dumps(payload, cls=JSONEncoder)
else:
raise MqError('not implemented')
response = self._session.request(method, url, **kwargs)
if response.status_code == 401:
# Expired token or other authorization issue
if not try_auth:
raise MqRequestError(response.status_code, response.text, context='{} {}'.format(method, url))
self._authenticate()
return self.__request(method, path, payload=payload, cls=cls, try_auth=False)
elif not 199 < response.status_code < 300:
raise MqRequestError(response.status_code, response.text, context='{} {}'.format(method, url))
elif 'application/x-msgpack' in response.headers['content-type']:
res = msgpack.unpackb(response.content, raw=False)
if cls:
if isinstance(res, dict) and 'results' in res:
res['results'] = self.__unpack(res['results'], cls)
else:
res = self.__unpack(res, cls)
return res
elif 'application/json' in response.headers['content-type']:
res = json.loads(response.text)
if cls:
if isinstance(res, dict) and 'results' in res:
res['results'] = self.__unpack(res['results'], cls)
else:
res = self.__unpack(res, cls)
return res
else:
return {'raw': response}
def _get(self, path: str, payload: Optional[Union[dict, Base]] = None, request_headers: Optional[dict] = None,
cls: Optional[type] = None, include_version: bool = True,
timeout: int = DEFAULT_TIMEOUT) -> Union[Base, tuple, dict]:
return self.__request('GET', path, payload=payload, request_headers=request_headers,
cls=cls, include_version=include_version, timeout=timeout)
def _post(self, path: str, payload: Optional[Union[dict, Base, pd.DataFrame]] = None,
request_headers: Optional[dict] = None, cls: Optional[type] = None,
include_version: bool = True, timeout: int = DEFAULT_TIMEOUT) -> Union[Base, tuple, dict]:
return self.__request('POST', path, payload=payload, request_headers=request_headers,
cls=cls, include_version=include_version, timeout=timeout)
def _delete(self, path: str, payload: Optional[Union[dict, Base]] = None, request_headers: Optional[dict]
= None, cls: Optional[type] = None, include_version: bool = True,
timeout: int = DEFAULT_TIMEOUT) -> Union[Base, tuple, dict]:
return self.__request('DELETE', path, payload=payload, request_headers=request_headers,
cls=cls, include_version=include_version, timeout=timeout)
def _put(self, path: str, payload: Optional[Union[dict, Base]] = None, request_headers: Optional[dict]
= None, cls: Optional[type] = None, include_version: bool = True,
timeout: int = DEFAULT_TIMEOUT) -> Union[Base, tuple, dict]:
return self.__request('PUT', path, payload=payload, request_headers=request_headers,
cls=cls, include_version=include_version, timeout=timeout)
def _connect_websocket(self, path: str):
url = 'ws{}{}{}'.format(self.domain[4:], '/' + self.api_version, path)
return websockets.connect(url, extra_headers=self._headers(), max_size=2**64, read_limit=2**64)
def _headers(self):
return [('Cookie', 'GSSSO=' + self._session.cookies['GSSSO'])]
@classmethod
def _config_for_environment(cls, environment):
if cls.__config is None:
cls.__config = ConfigParser()
cls.__config.read(os.path.join(os.path.dirname(inspect.getfile(cls)), 'config.ini'))
return cls.__config[environment]
@classmethod
def use(
cls,
environment_or_domain: Union[Environment, str] = Environment.PROD,
client_id: Optional[str] = None,
client_secret: Optional[str] = None,
scopes: Optional[Union[Tuple, List, str]] = (),
api_version: str = API_VERSION,
application: str = DEFAULT_APPLICATION,
http_adapter: requests.adapters.HTTPAdapter = None
) -> None:
environment_or_domain = environment_or_domain.name if isinstance(environment_or_domain,
Environment) else environment_or_domain
session = cls.get(
environment_or_domain,
client_id=client_id,
client_secret=client_secret,
scopes=scopes,
api_version=api_version,
application=application,
http_adapter=http_adapter
)
session.init()
cls.current = session
@classmethod
def get(
cls,
environment_or_domain: Union[Environment, str] = Environment.PROD,
client_id: Optional[str] = None,
client_secret: Optional[str] = None,
scopes: Optional[Union[Tuple, List, str]] = (),
token: str = '',
is_gssso: bool = False,
api_version: str = API_VERSION,
application: str = DEFAULT_APPLICATION,
http_adapter: requests.adapters.HTTPAdapter = None
) -> 'GsSession':
""" Return an instance of the appropriate session type for the given credentials"""
environment_or_domain = environment_or_domain.name if isinstance(environment_or_domain,
Environment) else environment_or_domain
if client_id is not None:
if isinstance(scopes, str):
scopes = (scopes,)
else:
scopes = cls.Scopes.get_default() if len(scopes) == 0 else scopes
return OAuth2Session(environment_or_domain, client_id, client_secret, scopes, api_version=api_version,
application=application, http_adapter=http_adapter)
elif token:
if is_gssso:
try:
return PassThroughGSSSOSession(environment_or_domain, token, api_version=api_version,
application=application, http_adapter=http_adapter)
except NameError:
raise MqUninitialisedError('This option requires gs_quant_internal to be installed')
else:
return PassThroughSession(environment_or_domain, token, api_version=api_version,
application=application, http_adapter=http_adapter)
else:
try:
return KerberosSession(environment_or_domain, api_version=api_version, http_adapter=http_adapter)
except NameError:
raise MqUninitialisedError('Must specify client_id and client_secret')
"""Triggers an Airplane task with the provided arguments."""
client = api_client_from_env()
run_id = client.execute_task(slug, param_values)
run_info = __wait_for_run_completion(run_id)
outputs = client.get_run_output(run_id)
return {
"id": run_info["id"],
"taskID": run_info["taskID"],
"paramValues": run_info["paramValues"],
"status": run_info["status"],
"output": outputs,
}
@backoff.on_exception(
lambda: backoff.expo(factor=0.1, max_value=5),
(
requests.exceptions.ConnectionError,
requests.exceptions.Timeout,
RunPendingException,
),
)
def __wait_for_run_completion(run_id: str) -> Dict[str, Any]:
client = api_client_from_env()
run_info = client.get_run(run_id)
if run_info["status"] in ("NotStarted", "Queued", "Active"):
raise RunPendingException()
return run_info
def api_client_from_env() -> APIClient:
