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cloudendpoints/endpoints-management-python
endpoints_management/control/check_request.py
Aggregator.clear
def clear(self): """Clears this instance's cache.""" if self._cache is not None: with self._cache as c: c.clear() c.out_deque.clear()
python
def clear(self): """Clears this instance's cache.""" if self._cache is not None: with self._cache as c: c.clear() c.out_deque.clear()
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Clears this instance's cache.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/check_request.py#L369-L374
cloudendpoints/endpoints-management-python
endpoints_management/control/check_request.py
Aggregator.add_response
def add_response(self, req, resp): """Adds the response from sending to `req` to this instance's cache. Args: req (`ServicecontrolServicesCheckRequest`): the request resp (CheckResponse): the response from sending the request """ if self._cache is None: return signature = sign(req.checkRequest) with self._cache as c: now = self._timer() quota_scale = 0 # WIP item = c.get(signature) if item is None: c[signature] = CachedItem( resp, self.service_name, now, quota_scale) else: # Update the cached item to reflect that it is updated item.last_check_time = now item.response = resp item.quota_scale = quota_scale item.is_flushing = False c[signature] = item
python
def add_response(self, req, resp): """Adds the response from sending to `req` to this instance's cache. Args: req (`ServicecontrolServicesCheckRequest`): the request resp (CheckResponse): the response from sending the request """ if self._cache is None: return signature = sign(req.checkRequest) with self._cache as c: now = self._timer() quota_scale = 0 # WIP item = c.get(signature) if item is None: c[signature] = CachedItem( resp, self.service_name, now, quota_scale) else: # Update the cached item to reflect that it is updated item.last_check_time = now item.response = resp item.quota_scale = quota_scale item.is_flushing = False c[signature] = item
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Adds the response from sending to `req` to this instance's cache. Args: req (`ServicecontrolServicesCheckRequest`): the request resp (CheckResponse): the response from sending the request
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/check_request.py#L376-L399
cloudendpoints/endpoints-management-python
endpoints_management/control/check_request.py
Aggregator.check
def check(self, req): """Determine if ``req`` is in this instances cache. Determine if there are cache hits for the request in this aggregator instance. Not in the cache If req is not in the cache, it returns ``None`` to indicate that the caller should send the request. Cache Hit; response has errors When a cached CheckResponse has errors, it's assumed that ``req`` would fail as well, so the cached CheckResponse is returned. However, the first CheckRequest after the flush interval has elapsed should be sent to the server to refresh the CheckResponse, though until it's received, subsequent CheckRequests should fail with the cached CheckResponse. Cache behaviour - response passed If the cached CheckResponse has no errors, it's assumed that ``req`` will succeed as well, so the CheckResponse is returned, with the quota info updated to the same as requested. The requested tokens are aggregated until flushed. Args: req (``ServicecontrolServicesCheckRequest``): to be sent to the service control service Raises: ValueError: if the ``req`` service_name is not the same as this instances Returns: ``CheckResponse``: if an applicable response is cached by this instance is available for use or None, if there is no applicable response """ if self._cache is None: return None # no cache, send request now if not isinstance(req, sc_messages.ServicecontrolServicesCheckRequest): raise ValueError(u'Invalid request') if req.serviceName != self.service_name: _logger.error(u'bad check(): service_name %s does not match ours %s', req.serviceName, self.service_name) raise ValueError(u'Service name mismatch') check_request = req.checkRequest if check_request is None: _logger.error(u'bad check(): no check_request in %s', req) raise ValueError(u'Expected operation not set') op = check_request.operation if op is None: _logger.error(u'bad check(): no operation in %s', req) raise ValueError(u'Expected operation not set') if op.importance != sc_messages.Operation.ImportanceValueValuesEnum.LOW: return None # op is important, send request now signature = sign(check_request) with self._cache as cache: _logger.debug(u'checking the cache for %r\n%s', signature, cache) item = cache.get(signature) if item is None: return None # signal to caller to send req else: return self._handle_cached_response(req, item)
python
def check(self, req): """Determine if ``req`` is in this instances cache. Determine if there are cache hits for the request in this aggregator instance. Not in the cache If req is not in the cache, it returns ``None`` to indicate that the caller should send the request. Cache Hit; response has errors When a cached CheckResponse has errors, it's assumed that ``req`` would fail as well, so the cached CheckResponse is returned. However, the first CheckRequest after the flush interval has elapsed should be sent to the server to refresh the CheckResponse, though until it's received, subsequent CheckRequests should fail with the cached CheckResponse. Cache behaviour - response passed If the cached CheckResponse has no errors, it's assumed that ``req`` will succeed as well, so the CheckResponse is returned, with the quota info updated to the same as requested. The requested tokens are aggregated until flushed. Args: req (``ServicecontrolServicesCheckRequest``): to be sent to the service control service Raises: ValueError: if the ``req`` service_name is not the same as this instances Returns: ``CheckResponse``: if an applicable response is cached by this instance is available for use or None, if there is no applicable response """ if self._cache is None: return None # no cache, send request now if not isinstance(req, sc_messages.ServicecontrolServicesCheckRequest): raise ValueError(u'Invalid request') if req.serviceName != self.service_name: _logger.error(u'bad check(): service_name %s does not match ours %s', req.serviceName, self.service_name) raise ValueError(u'Service name mismatch') check_request = req.checkRequest if check_request is None: _logger.error(u'bad check(): no check_request in %s', req) raise ValueError(u'Expected operation not set') op = check_request.operation if op is None: _logger.error(u'bad check(): no operation in %s', req) raise ValueError(u'Expected operation not set') if op.importance != sc_messages.Operation.ImportanceValueValuesEnum.LOW: return None # op is important, send request now signature = sign(check_request) with self._cache as cache: _logger.debug(u'checking the cache for %r\n%s', signature, cache) item = cache.get(signature) if item is None: return None # signal to caller to send req else: return self._handle_cached_response(req, item)
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/check_request.py#L401-L467
cloudendpoints/endpoints-management-python
endpoints_management/control/timestamp.py
compare
def compare(a, b): """Compares two timestamps. ``a`` and ``b`` must be the same type, in addition to normal representations of timestamps that order naturally, they can be rfc3339 formatted strings. Args: a (string|object): a timestamp b (string|object): another timestamp Returns: int: -1 if a < b, 0 if a == b or 1 if a > b Raises: ValueError: if a or b are not the same type ValueError: if a or b strings but not in valid rfc3339 format """ a_is_text = isinstance(a, basestring) b_is_text = isinstance(b, basestring) if type(a) != type(b) and not (a_is_text and b_is_text): _logger.error(u'Cannot compare %s to %s, types differ %s!=%s', a, b, type(a), type(b)) raise ValueError(u'cannot compare inputs of differing types') if a_is_text: a = from_rfc3339(a, with_nanos=True) b = from_rfc3339(b, with_nanos=True) if a < b: return -1 elif a > b: return 1 else: return 0
python
def compare(a, b): """Compares two timestamps. ``a`` and ``b`` must be the same type, in addition to normal representations of timestamps that order naturally, they can be rfc3339 formatted strings. Args: a (string|object): a timestamp b (string|object): another timestamp Returns: int: -1 if a < b, 0 if a == b or 1 if a > b Raises: ValueError: if a or b are not the same type ValueError: if a or b strings but not in valid rfc3339 format """ a_is_text = isinstance(a, basestring) b_is_text = isinstance(b, basestring) if type(a) != type(b) and not (a_is_text and b_is_text): _logger.error(u'Cannot compare %s to %s, types differ %s!=%s', a, b, type(a), type(b)) raise ValueError(u'cannot compare inputs of differing types') if a_is_text: a = from_rfc3339(a, with_nanos=True) b = from_rfc3339(b, with_nanos=True) if a < b: return -1 elif a > b: return 1 else: return 0
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Compares two timestamps. ``a`` and ``b`` must be the same type, in addition to normal representations of timestamps that order naturally, they can be rfc3339 formatted strings. Args: a (string|object): a timestamp b (string|object): another timestamp Returns: int: -1 if a < b, 0 if a == b or 1 if a > b Raises: ValueError: if a or b are not the same type ValueError: if a or b strings but not in valid rfc3339 format
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https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/timestamp.py#L38-L73
cloudendpoints/endpoints-management-python
endpoints_management/control/timestamp.py
to_rfc3339
def to_rfc3339(timestamp): """Converts ``timestamp`` to an RFC 3339 date string format. ``timestamp`` can be either a ``datetime.datetime`` or a ``datetime.timedelta``. Instances of the later are assumed to be a delta with the beginining of the unix epoch, 1st of January, 1970 The returned string is always Z-normalized. Examples of the return format: '1972-01-01T10:00:20.021Z' Args: timestamp (datetime|timedelta): represents the timestamp to convert Returns: string: timestamp converted to a rfc3339 compliant string as above Raises: ValueError: if timestamp is not a datetime.datetime or datetime.timedelta """ if isinstance(timestamp, datetime.datetime): timestamp = timestamp - _EPOCH_START if not isinstance(timestamp, datetime.timedelta): _logger.error(u'Could not convert %s to a rfc3339 time,', timestamp) raise ValueError(u'Invalid timestamp type') return strict_rfc3339.timestamp_to_rfc3339_utcoffset( timestamp.total_seconds())
python
def to_rfc3339(timestamp): """Converts ``timestamp`` to an RFC 3339 date string format. ``timestamp`` can be either a ``datetime.datetime`` or a ``datetime.timedelta``. Instances of the later are assumed to be a delta with the beginining of the unix epoch, 1st of January, 1970 The returned string is always Z-normalized. Examples of the return format: '1972-01-01T10:00:20.021Z' Args: timestamp (datetime|timedelta): represents the timestamp to convert Returns: string: timestamp converted to a rfc3339 compliant string as above Raises: ValueError: if timestamp is not a datetime.datetime or datetime.timedelta """ if isinstance(timestamp, datetime.datetime): timestamp = timestamp - _EPOCH_START if not isinstance(timestamp, datetime.timedelta): _logger.error(u'Could not convert %s to a rfc3339 time,', timestamp) raise ValueError(u'Invalid timestamp type') return strict_rfc3339.timestamp_to_rfc3339_utcoffset( timestamp.total_seconds())
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Converts ``timestamp`` to an RFC 3339 date string format. ``timestamp`` can be either a ``datetime.datetime`` or a ``datetime.timedelta``. Instances of the later are assumed to be a delta with the beginining of the unix epoch, 1st of January, 1970 The returned string is always Z-normalized. Examples of the return format: '1972-01-01T10:00:20.021Z' Args: timestamp (datetime|timedelta): represents the timestamp to convert Returns: string: timestamp converted to a rfc3339 compliant string as above Raises: ValueError: if timestamp is not a datetime.datetime or datetime.timedelta
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https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/timestamp.py#L76-L102
cloudendpoints/endpoints-management-python
endpoints_management/control/timestamp.py
from_rfc3339
def from_rfc3339(rfc3339_text, with_nanos=False): """Parse a RFC 3339 date string format to datetime.date. Example of accepted format: '1972-01-01T10:00:20.021-05:00' - By default, the result is a datetime.datetime - If with_nanos is true, the result is a 2-tuple, (datetime.datetime, nanos), where the second field represents the possible nanosecond resolution component of the second field. Args: rfc3339_text (string): An rfc3339 formatted date string with_nanos (bool): Determines if nanoseconds should be parsed from the string Raises: ValueError: if ``rfc3339_text`` is invalid Returns: :class:`datetime.datetime`: when with_nanos is False tuple(:class:`datetime.datetime`, int): when with_nanos is True """ timestamp = strict_rfc3339.rfc3339_to_timestamp(rfc3339_text) result = datetime.datetime.utcfromtimestamp(timestamp) if with_nanos: return (result, int((timestamp - int(timestamp)) * 1e9)) else: return result
python
def from_rfc3339(rfc3339_text, with_nanos=False): """Parse a RFC 3339 date string format to datetime.date. Example of accepted format: '1972-01-01T10:00:20.021-05:00' - By default, the result is a datetime.datetime - If with_nanos is true, the result is a 2-tuple, (datetime.datetime, nanos), where the second field represents the possible nanosecond resolution component of the second field. Args: rfc3339_text (string): An rfc3339 formatted date string with_nanos (bool): Determines if nanoseconds should be parsed from the string Raises: ValueError: if ``rfc3339_text`` is invalid Returns: :class:`datetime.datetime`: when with_nanos is False tuple(:class:`datetime.datetime`, int): when with_nanos is True """ timestamp = strict_rfc3339.rfc3339_to_timestamp(rfc3339_text) result = datetime.datetime.utcfromtimestamp(timestamp) if with_nanos: return (result, int((timestamp - int(timestamp)) * 1e9)) else: return result
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cloudendpoints/endpoints-management-python
endpoints_management/control/operation.py
Info.as_operation
def as_operation(self, timer=datetime.utcnow): """Makes an ``Operation`` from this instance. Returns: an ``Operation`` """ now = timer() op = sc_messages.Operation( endTime=timestamp.to_rfc3339(now), startTime=timestamp.to_rfc3339(now), importance=sc_messages.Operation.ImportanceValueValuesEnum.LOW) if self.operation_id: op.operationId = self.operation_id if self.operation_name: op.operationName = self.operation_name if self.api_key and self.api_key_valid: op.consumerId = u'api_key:' + self.api_key elif self.consumer_project_id: op.consumerId = u'project:' + self.consumer_project_id return op
python
def as_operation(self, timer=datetime.utcnow): """Makes an ``Operation`` from this instance. Returns: an ``Operation`` """ now = timer() op = sc_messages.Operation( endTime=timestamp.to_rfc3339(now), startTime=timestamp.to_rfc3339(now), importance=sc_messages.Operation.ImportanceValueValuesEnum.LOW) if self.operation_id: op.operationId = self.operation_id if self.operation_name: op.operationName = self.operation_name if self.api_key and self.api_key_valid: op.consumerId = u'api_key:' + self.api_key elif self.consumer_project_id: op.consumerId = u'project:' + self.consumer_project_id return op
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cloudendpoints/endpoints-management-python
endpoints_management/control/operation.py
Aggregator.as_operation
def as_operation(self): """Obtains a single `Operation` representing this instances contents. Returns: :class:`endpoints_management.gen.servicecontrol_v1_messages.Operation` """ result = encoding.CopyProtoMessage(self._op) names = sorted(self._metric_values_by_name_then_sign.keys()) for name in names: mvs = self._metric_values_by_name_then_sign[name] result.metricValueSets.append( sc_messages.MetricValueSet( metricName=name, metricValues=mvs.values())) return result
python
def as_operation(self): """Obtains a single `Operation` representing this instances contents. Returns: :class:`endpoints_management.gen.servicecontrol_v1_messages.Operation` """ result = encoding.CopyProtoMessage(self._op) names = sorted(self._metric_values_by_name_then_sign.keys()) for name in names: mvs = self._metric_values_by_name_then_sign[name] result.metricValueSets.append( sc_messages.MetricValueSet( metricName=name, metricValues=mvs.values())) return result
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cloudendpoints/endpoints-management-python
endpoints_management/control/operation.py
Aggregator.add
def add(self, other_op): """Combines `other_op` with the operation held by this aggregator. N.B. It merges the operations log entries and metric values, but makes the assumption the operation is consistent. It's the callers responsibility to ensure consistency Args: other_op ( class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation merge into this one """ self._op.logEntries.extend(other_op.logEntries) self._merge_timestamps(other_op) self._merge_metric_values(other_op)
python
def add(self, other_op): """Combines `other_op` with the operation held by this aggregator. N.B. It merges the operations log entries and metric values, but makes the assumption the operation is consistent. It's the callers responsibility to ensure consistency Args: other_op ( class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation merge into this one """ self._op.logEntries.extend(other_op.logEntries) self._merge_timestamps(other_op) self._merge_metric_values(other_op)
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https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/operation.py#L177-L192
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
create_exponential
def create_exponential(num_finite_buckets, growth_factor, scale): """Creates a new instance of distribution with exponential buckets Args: num_finite_buckets (int): initializes number of finite buckets growth_factor (float): initializes the growth factor scale (float): initializes the scale Return: :class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution` Raises: ValueError: if the args are invalid for creating an instance """ if num_finite_buckets <= 0: raise ValueError(_BAD_NUM_FINITE_BUCKETS) if growth_factor <= 1.0: raise ValueError(_BAD_FLOAT_ARG % (u'growth factor', 1.0)) if scale <= 0.0: raise ValueError(_BAD_FLOAT_ARG % (u'scale', 0.0)) return sc_messages.Distribution( bucketCounts=[0] * (num_finite_buckets + 2), exponentialBuckets=sc_messages.ExponentialBuckets( numFiniteBuckets=num_finite_buckets, growthFactor=growth_factor, scale=scale))
python
def create_exponential(num_finite_buckets, growth_factor, scale): """Creates a new instance of distribution with exponential buckets Args: num_finite_buckets (int): initializes number of finite buckets growth_factor (float): initializes the growth factor scale (float): initializes the scale Return: :class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution` Raises: ValueError: if the args are invalid for creating an instance """ if num_finite_buckets <= 0: raise ValueError(_BAD_NUM_FINITE_BUCKETS) if growth_factor <= 1.0: raise ValueError(_BAD_FLOAT_ARG % (u'growth factor', 1.0)) if scale <= 0.0: raise ValueError(_BAD_FLOAT_ARG % (u'scale', 0.0)) return sc_messages.Distribution( bucketCounts=[0] * (num_finite_buckets + 2), exponentialBuckets=sc_messages.ExponentialBuckets( numFiniteBuckets=num_finite_buckets, growthFactor=growth_factor, scale=scale))
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L45-L70
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
create_linear
def create_linear(num_finite_buckets, width, offset): """Creates a new instance of distribution with linear buckets. Args: num_finite_buckets (int): initializes number of finite buckets width (float): initializes the width of each bucket offset (float): initializes the offset Return: :class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution` Raises: ValueError: if the args are invalid for creating an instance """ if num_finite_buckets <= 0: raise ValueError(_BAD_NUM_FINITE_BUCKETS) if width <= 0.0: raise ValueError(_BAD_FLOAT_ARG % (u'width', 0.0)) return sc_messages.Distribution( bucketCounts=[0] * (num_finite_buckets + 2), linearBuckets=sc_messages.LinearBuckets( numFiniteBuckets=num_finite_buckets, width=width, offset=offset))
python
def create_linear(num_finite_buckets, width, offset): """Creates a new instance of distribution with linear buckets. Args: num_finite_buckets (int): initializes number of finite buckets width (float): initializes the width of each bucket offset (float): initializes the offset Return: :class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution` Raises: ValueError: if the args are invalid for creating an instance """ if num_finite_buckets <= 0: raise ValueError(_BAD_NUM_FINITE_BUCKETS) if width <= 0.0: raise ValueError(_BAD_FLOAT_ARG % (u'width', 0.0)) return sc_messages.Distribution( bucketCounts=[0] * (num_finite_buckets + 2), linearBuckets=sc_messages.LinearBuckets( numFiniteBuckets=num_finite_buckets, width=width, offset=offset))
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L73-L96
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
create_explicit
def create_explicit(bounds): """Creates a new instance of distribution with explicit buckets. bounds is an iterable of ordered floats that define the explicit buckets Args: bounds (iterable[float]): initializes the bounds Return: :class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution` Raises: ValueError: if the args are invalid for creating an instance """ safe_bounds = sorted(float(x) for x in bounds) if len(safe_bounds) != len(set(safe_bounds)): raise ValueError(u'Detected two elements of bounds that are the same') return sc_messages.Distribution( bucketCounts=[0] * (len(safe_bounds) + 1), explicitBuckets=sc_messages.ExplicitBuckets(bounds=safe_bounds))
python
def create_explicit(bounds): """Creates a new instance of distribution with explicit buckets. bounds is an iterable of ordered floats that define the explicit buckets Args: bounds (iterable[float]): initializes the bounds Return: :class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution` Raises: ValueError: if the args are invalid for creating an instance """ safe_bounds = sorted(float(x) for x in bounds) if len(safe_bounds) != len(set(safe_bounds)): raise ValueError(u'Detected two elements of bounds that are the same') return sc_messages.Distribution( bucketCounts=[0] * (len(safe_bounds) + 1), explicitBuckets=sc_messages.ExplicitBuckets(bounds=safe_bounds))
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L99-L118
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
add_sample
def add_sample(a_float, dist): """Adds `a_float` to `dist`, updating its existing buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not have known bucket options defined ValueError: if there are not enough bucket count fields in `dist` """ dist_type, _ = _detect_bucket_option(dist) if dist_type == u'exponentialBuckets': _update_general_statistics(a_float, dist) _update_exponential_bucket_count(a_float, dist) elif dist_type == u'linearBuckets': _update_general_statistics(a_float, dist) _update_linear_bucket_count(a_float, dist) elif dist_type == u'explicitBuckets': _update_general_statistics(a_float, dist) _update_explicit_bucket_count(a_float, dist) else: _logger.error(u'Could not determine bucket option type for %s', dist) raise ValueError(u'Unknown bucket option type')
python
def add_sample(a_float, dist): """Adds `a_float` to `dist`, updating its existing buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not have known bucket options defined ValueError: if there are not enough bucket count fields in `dist` """ dist_type, _ = _detect_bucket_option(dist) if dist_type == u'exponentialBuckets': _update_general_statistics(a_float, dist) _update_exponential_bucket_count(a_float, dist) elif dist_type == u'linearBuckets': _update_general_statistics(a_float, dist) _update_linear_bucket_count(a_float, dist) elif dist_type == u'explicitBuckets': _update_general_statistics(a_float, dist) _update_explicit_bucket_count(a_float, dist) else: _logger.error(u'Could not determine bucket option type for %s', dist) raise ValueError(u'Unknown bucket option type')
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L121-L145
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
merge
def merge(prior, latest): """Merge `prior` into `latest`. N.B, this mutates latest. It ensures that the statistics and histogram are updated to correctly include the original values from both instances. Args: prior (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): an instance latest (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): an instance to be updated Raises: ValueError: if the bucket options of `prior` and `latest` do not match ValueError: if the bucket counts of `prior` and `latest` do not match """ if not _buckets_nearly_equal(prior, latest): _logger.error(u'Bucket options do not match. From %s To: %s', prior, latest) raise ValueError(u'Bucket options do not match') if len(prior.bucketCounts) != len(latest.bucketCounts): _logger.error(u'Bucket count sizes do not match. From %s To: %s', prior, latest) raise ValueError(u'Bucket count sizes do not match') if prior.count <= 0: return old_count = latest.count old_mean = latest.mean old_summed_variance = latest.sumOfSquaredDeviation bucket_counts = latest.bucketCounts # Update the latest latest.count += prior.count latest.maximum = max(prior.maximum, latest.maximum) latest.minimum = min(prior.minimum, latest.minimum) latest.mean = ((old_count * old_mean + prior.count * prior.mean) / latest.count) latest.sumOfSquaredDeviation = ( old_summed_variance + prior.sumOfSquaredDeviation + old_count * (latest.mean - old_mean) ** 2 + prior.count * (latest.mean - prior.mean) ** 2) for i, (x, y) in enumerate(zip(prior.bucketCounts, bucket_counts)): bucket_counts[i] = x + y
python
def merge(prior, latest): """Merge `prior` into `latest`. N.B, this mutates latest. It ensures that the statistics and histogram are updated to correctly include the original values from both instances. Args: prior (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): an instance latest (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): an instance to be updated Raises: ValueError: if the bucket options of `prior` and `latest` do not match ValueError: if the bucket counts of `prior` and `latest` do not match """ if not _buckets_nearly_equal(prior, latest): _logger.error(u'Bucket options do not match. From %s To: %s', prior, latest) raise ValueError(u'Bucket options do not match') if len(prior.bucketCounts) != len(latest.bucketCounts): _logger.error(u'Bucket count sizes do not match. From %s To: %s', prior, latest) raise ValueError(u'Bucket count sizes do not match') if prior.count <= 0: return old_count = latest.count old_mean = latest.mean old_summed_variance = latest.sumOfSquaredDeviation bucket_counts = latest.bucketCounts # Update the latest latest.count += prior.count latest.maximum = max(prior.maximum, latest.maximum) latest.minimum = min(prior.minimum, latest.minimum) latest.mean = ((old_count * old_mean + prior.count * prior.mean) / latest.count) latest.sumOfSquaredDeviation = ( old_summed_variance + prior.sumOfSquaredDeviation + old_count * (latest.mean - old_mean) ** 2 + prior.count * (latest.mean - prior.mean) ** 2) for i, (x, y) in enumerate(zip(prior.bucketCounts, bucket_counts)): bucket_counts[i] = x + y
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Merge `prior` into `latest`. N.B, this mutates latest. It ensures that the statistics and histogram are updated to correctly include the original values from both instances. Args: prior (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): an instance latest (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): an instance to be updated Raises: ValueError: if the bucket options of `prior` and `latest` do not match ValueError: if the bucket counts of `prior` and `latest` do not match
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L148-L194
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
_buckets_nearly_equal
def _buckets_nearly_equal(a_dist, b_dist): """Determines whether two `Distributions` are nearly equal. Args: a_dist (:class:`Distribution`): an instance b_dist (:class:`Distribution`): another instance Return: boolean: `True` if the two instances are approximately equal, otherwise False """ a_type, a_buckets = _detect_bucket_option(a_dist) b_type, b_buckets = _detect_bucket_option(b_dist) if a_type != b_type: return False elif a_type == u'linearBuckets': return _linear_buckets_nearly_equal(a_buckets, b_buckets) elif a_type == u'exponentialBuckets': return _exponential_buckets_nearly_equal(a_buckets, b_buckets) elif a_type == u'explicitBuckets': return _explicit_buckets_nearly_equal(a_buckets, b_buckets) else: return False
python
def _buckets_nearly_equal(a_dist, b_dist): """Determines whether two `Distributions` are nearly equal. Args: a_dist (:class:`Distribution`): an instance b_dist (:class:`Distribution`): another instance Return: boolean: `True` if the two instances are approximately equal, otherwise False """ a_type, a_buckets = _detect_bucket_option(a_dist) b_type, b_buckets = _detect_bucket_option(b_dist) if a_type != b_type: return False elif a_type == u'linearBuckets': return _linear_buckets_nearly_equal(a_buckets, b_buckets) elif a_type == u'exponentialBuckets': return _exponential_buckets_nearly_equal(a_buckets, b_buckets) elif a_type == u'explicitBuckets': return _explicit_buckets_nearly_equal(a_buckets, b_buckets) else: return False
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L242-L265
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
_update_general_statistics
def _update_general_statistics(a_float, dist): """Adds a_float to distribution, updating the statistics fields. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated """ if not dist.count: dist.count = 1 dist.maximum = a_float dist.minimum = a_float dist.mean = a_float dist.sumOfSquaredDeviation = 0 else: old_count = dist.count old_mean = dist.mean new_mean = ((old_count * old_mean) + a_float) / (old_count + 1) delta_sum_squares = (a_float - old_mean) * (a_float - new_mean) dist.count += 1 dist.mean = new_mean dist.maximum = max(a_float, dist.maximum) dist.minimum = min(a_float, dist.minimum) dist.sumOfSquaredDeviation += delta_sum_squares
python
def _update_general_statistics(a_float, dist): """Adds a_float to distribution, updating the statistics fields. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated """ if not dist.count: dist.count = 1 dist.maximum = a_float dist.minimum = a_float dist.mean = a_float dist.sumOfSquaredDeviation = 0 else: old_count = dist.count old_mean = dist.mean new_mean = ((old_count * old_mean) + a_float) / (old_count + 1) delta_sum_squares = (a_float - old_mean) * (a_float - new_mean) dist.count += 1 dist.mean = new_mean dist.maximum = max(a_float, dist.maximum) dist.minimum = min(a_float, dist.minimum) dist.sumOfSquaredDeviation += delta_sum_squares
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L268-L292
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
_update_exponential_bucket_count
def _update_exponential_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating its exponential buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not already have exponential buckets defined ValueError: if there are not enough bucket count fields in `dist` """ buckets = dist.exponentialBuckets if buckets is None: raise ValueError(_BAD_UNSET_BUCKETS % (u'exponential buckets')) bucket_counts = dist.bucketCounts num_finite_buckets = buckets.numFiniteBuckets if len(bucket_counts) < num_finite_buckets + 2: raise ValueError(_BAD_LOW_BUCKET_COUNT) scale = buckets.scale factor = buckets.growthFactor if (a_float <= scale): index = 0 else: index = 1 + int((math.log(a_float / scale) / math.log(factor))) index = min(index, num_finite_buckets + 1) bucket_counts[index] += 1 _logger.debug(u'scale:%f, factor:%f, sample:%f, index:%d', scale, factor, a_float, index)
python
def _update_exponential_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating its exponential buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not already have exponential buckets defined ValueError: if there are not enough bucket count fields in `dist` """ buckets = dist.exponentialBuckets if buckets is None: raise ValueError(_BAD_UNSET_BUCKETS % (u'exponential buckets')) bucket_counts = dist.bucketCounts num_finite_buckets = buckets.numFiniteBuckets if len(bucket_counts) < num_finite_buckets + 2: raise ValueError(_BAD_LOW_BUCKET_COUNT) scale = buckets.scale factor = buckets.growthFactor if (a_float <= scale): index = 0 else: index = 1 + int((math.log(a_float / scale) / math.log(factor))) index = min(index, num_finite_buckets + 1) bucket_counts[index] += 1 _logger.debug(u'scale:%f, factor:%f, sample:%f, index:%d', scale, factor, a_float, index)
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L299-L327
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
_update_linear_bucket_count
def _update_linear_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating the its linear buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not already have linear buckets defined ValueError: if there are not enough bucket count fields in `dist` """ buckets = dist.linearBuckets if buckets is None: raise ValueError(_BAD_UNSET_BUCKETS % (u'linear buckets')) bucket_counts = dist.bucketCounts num_finite_buckets = buckets.numFiniteBuckets if len(bucket_counts) < num_finite_buckets + 2: raise ValueError(_BAD_LOW_BUCKET_COUNT) width = buckets.width lower = buckets.offset upper = lower + (num_finite_buckets * width) if a_float < lower: index = 0 elif a_float >= upper: index = num_finite_buckets + 1 else: index = 1 + int(((a_float - lower) / width)) bucket_counts[index] += 1 _logger.debug(u'upper:%f, lower:%f, width:%f, sample:%f, index:%d', upper, lower, width, a_float, index)
python
def _update_linear_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating the its linear buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not already have linear buckets defined ValueError: if there are not enough bucket count fields in `dist` """ buckets = dist.linearBuckets if buckets is None: raise ValueError(_BAD_UNSET_BUCKETS % (u'linear buckets')) bucket_counts = dist.bucketCounts num_finite_buckets = buckets.numFiniteBuckets if len(bucket_counts) < num_finite_buckets + 2: raise ValueError(_BAD_LOW_BUCKET_COUNT) width = buckets.width lower = buckets.offset upper = lower + (num_finite_buckets * width) if a_float < lower: index = 0 elif a_float >= upper: index = num_finite_buckets + 1 else: index = 1 + int(((a_float - lower) / width)) bucket_counts[index] += 1 _logger.debug(u'upper:%f, lower:%f, width:%f, sample:%f, index:%d', upper, lower, width, a_float, index)
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Adds `a_float` to `dist`, updating the its linear buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not already have linear buckets defined ValueError: if there are not enough bucket count fields in `dist`
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/distribution.py#L330-L360
cloudendpoints/endpoints-management-python
endpoints_management/control/distribution.py
_update_explicit_bucket_count
def _update_explicit_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating its explicit buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not already have explict buckets defined ValueError: if there are not enough bucket count fields in `dist` """ buckets = dist.explicitBuckets if buckets is None: raise ValueError(_BAD_UNSET_BUCKETS % (u'explicit buckets')) bucket_counts = dist.bucketCounts bounds = buckets.bounds if len(bucket_counts) < len(bounds) + 1: raise ValueError(_BAD_LOW_BUCKET_COUNT) bucket_counts[bisect.bisect(bounds, a_float)] += 1
python
def _update_explicit_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating its explicit buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not already have explict buckets defined ValueError: if there are not enough bucket count fields in `dist` """ buckets = dist.explicitBuckets if buckets is None: raise ValueError(_BAD_UNSET_BUCKETS % (u'explicit buckets')) bucket_counts = dist.bucketCounts bounds = buckets.bounds if len(bucket_counts) < len(bounds) + 1: raise ValueError(_BAD_LOW_BUCKET_COUNT) bucket_counts[bisect.bisect(bounds, a_float)] += 1
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cloudendpoints/endpoints-management-python
endpoints_management/control/vendor/py3/sched.py
scheduler.enterabs
def enterabs(self, time, priority, action, argument=(), kwargs=_sentinel): """Enter a new event in the queue at an absolute time. Returns an ID for the event which can be used to remove it, if necessary. """ if kwargs is _sentinel: kwargs = {} event = Event(time, priority, action, argument, kwargs) with self._lock: heapq.heappush(self._queue, event) return event
python
def enterabs(self, time, priority, action, argument=(), kwargs=_sentinel): """Enter a new event in the queue at an absolute time. Returns an ID for the event which can be used to remove it, if necessary. """ if kwargs is _sentinel: kwargs = {} event = Event(time, priority, action, argument, kwargs) with self._lock: heapq.heappush(self._queue, event) return event
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Enter a new event in the queue at an absolute time. Returns an ID for the event which can be used to remove it, if necessary.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/vendor/py3/sched.py#L71-L83
cloudendpoints/endpoints-management-python
endpoints_management/control/vendor/py3/sched.py
scheduler.enter
def enter(self, delay, priority, action, argument=(), kwargs=_sentinel): """A variant that specifies the time as a relative time. This is actually the more commonly used interface. """ time = self.timefunc() + delay return self.enterabs(time, priority, action, argument, kwargs)
python
def enter(self, delay, priority, action, argument=(), kwargs=_sentinel): """A variant that specifies the time as a relative time. This is actually the more commonly used interface. """ time = self.timefunc() + delay return self.enterabs(time, priority, action, argument, kwargs)
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A variant that specifies the time as a relative time. This is actually the more commonly used interface.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/vendor/py3/sched.py#L85-L92
cloudendpoints/endpoints-management-python
endpoints_management/control/vendor/py3/sched.py
scheduler.cancel
def cancel(self, event): """Remove an event from the queue. This must be presented the ID as returned by enter(). If the event is not in the queue, this raises ValueError. """ with self._lock: self._queue.remove(event) heapq.heapify(self._queue)
python
def cancel(self, event): """Remove an event from the queue. This must be presented the ID as returned by enter(). If the event is not in the queue, this raises ValueError. """ with self._lock: self._queue.remove(event) heapq.heapify(self._queue)
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Remove an event from the queue. This must be presented the ID as returned by enter(). If the event is not in the queue, this raises ValueError.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/vendor/py3/sched.py#L94-L103
cloudendpoints/endpoints-management-python
endpoints_management/control/vendor/py3/sched.py
scheduler.run
def run(self, blocking=True): """Execute events until the queue is empty. If blocking is False executes the scheduled events due to expire soonest (if any) and then return the deadline of the next scheduled call in the scheduler. When there is a positive delay until the first event, the delay function is called and the event is left in the queue; otherwise, the event is removed from the queue and executed (its action function is called, passing it the argument). If the delay function returns prematurely, it is simply restarted. It is legal for both the delay function and the action function to modify the queue or to raise an exception; exceptions are not caught but the scheduler's state remains well-defined so run() may be called again. A questionable hack is added to allow other threads to run: just after an event is executed, a delay of 0 is executed, to avoid monopolizing the CPU when other threads are also runnable. """ # localize variable access to minimize overhead # and to improve thread safety lock = self._lock q = self._queue delayfunc = self.delayfunc timefunc = self.timefunc pop = heapq.heappop while True: with lock: if not q: break time, priority, action, argument, kwargs = q[0] now = timefunc() if time > now: delay = True else: delay = False pop(q) if delay: if not blocking: return time - now delayfunc(time - now) else: action(*argument, **kwargs) delayfunc(0)
python
def run(self, blocking=True): """Execute events until the queue is empty. If blocking is False executes the scheduled events due to expire soonest (if any) and then return the deadline of the next scheduled call in the scheduler. When there is a positive delay until the first event, the delay function is called and the event is left in the queue; otherwise, the event is removed from the queue and executed (its action function is called, passing it the argument). If the delay function returns prematurely, it is simply restarted. It is legal for both the delay function and the action function to modify the queue or to raise an exception; exceptions are not caught but the scheduler's state remains well-defined so run() may be called again. A questionable hack is added to allow other threads to run: just after an event is executed, a delay of 0 is executed, to avoid monopolizing the CPU when other threads are also runnable. """ # localize variable access to minimize overhead # and to improve thread safety lock = self._lock q = self._queue delayfunc = self.delayfunc timefunc = self.timefunc pop = heapq.heappop while True: with lock: if not q: break time, priority, action, argument, kwargs = q[0] now = timefunc() if time > now: delay = True else: delay = False pop(q) if delay: if not blocking: return time - now delayfunc(time - now) else: action(*argument, **kwargs) delayfunc(0)
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/vendor/py3/sched.py#L110-L158
cloudendpoints/endpoints-management-python
endpoints_management/control/money.py
check_valid
def check_valid(money): """Determine if an instance of `Money` is valid. Args: money (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): the instance to test Raises: ValueError: if the money instance is invalid """ if not isinstance(money, sc_messages.Money): raise ValueError(u'Inputs should be of type %s' % (sc_messages.Money,)) currency = money.currencyCode if not currency or len(currency) != 3: raise ValueError(_MSG_3_LETTERS_LONG) units = money.units nanos = money.nanos if ((units > 0) and (nanos < 0)) or ((units < 0) and (nanos > 0)): raise ValueError(_MSG_UNITS_NANOS_MISMATCH) if abs(nanos) > MAX_NANOS: raise ValueError(_MSG_NANOS_OOB)
python
def check_valid(money): """Determine if an instance of `Money` is valid. Args: money (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): the instance to test Raises: ValueError: if the money instance is invalid """ if not isinstance(money, sc_messages.Money): raise ValueError(u'Inputs should be of type %s' % (sc_messages.Money,)) currency = money.currencyCode if not currency or len(currency) != 3: raise ValueError(_MSG_3_LETTERS_LONG) units = money.units nanos = money.nanos if ((units > 0) and (nanos < 0)) or ((units < 0) and (nanos > 0)): raise ValueError(_MSG_UNITS_NANOS_MISMATCH) if abs(nanos) > MAX_NANOS: raise ValueError(_MSG_NANOS_OOB)
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Determine if an instance of `Money` is valid. Args: money (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): the instance to test Raises: ValueError: if the money instance is invalid
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/money.py#L40-L60
cloudendpoints/endpoints-management-python
endpoints_management/control/money.py
add
def add(a, b, allow_overflow=False): """Adds two instances of `Money`. Args: a (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): one money value b (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): another money value allow_overflow: determines if the addition is allowed to overflow Return: `Money`: an instance of Money Raises: ValueError: if the inputs do not have the same currency code OverflowError: if the sum overflows and allow_overflow is not `True` """ for m in (a, b): if not isinstance(m, sc_messages.Money): raise ValueError(u'Inputs should be of type %s' % (sc_messages.Money,)) if a.currencyCode != b.currencyCode: raise ValueError(u'Money values need the same currency to be summed') nano_carry, nanos_sum = _sum_nanos(a, b) units_sum_no_carry = a.units + b.units units_sum = units_sum_no_carry + nano_carry # Adjust when units_sum and nanos_sum have different signs if units_sum > 0 and nanos_sum < 0: units_sum -= 1 nanos_sum += _BILLION elif units_sum < 0 and nanos_sum > 0: units_sum += 1 nanos_sum -= _BILLION # Return the result, detecting overflow if it occurs sign_a = _sign_of(a) sign_b = _sign_of(b) if sign_a > 0 and sign_b > 0 and units_sum >= _INT64_MAX: if not allow_overflow: raise OverflowError(u'Money addition positive overflow') else: return sc_messages.Money(units=_INT64_MAX, nanos=MAX_NANOS, currencyCode=a.currencyCode) elif (sign_a < 0 and sign_b < 0 and (units_sum_no_carry <= -_INT64_MAX or units_sum <= -_INT64_MAX)): if not allow_overflow: raise OverflowError(u'Money addition negative overflow') else: return sc_messages.Money(units=_INT64_MIN, nanos=-MAX_NANOS, currencyCode=a.currencyCode) else: return sc_messages.Money(units=units_sum, nanos=nanos_sum, currencyCode=a.currencyCode)
python
def add(a, b, allow_overflow=False): """Adds two instances of `Money`. Args: a (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): one money value b (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): another money value allow_overflow: determines if the addition is allowed to overflow Return: `Money`: an instance of Money Raises: ValueError: if the inputs do not have the same currency code OverflowError: if the sum overflows and allow_overflow is not `True` """ for m in (a, b): if not isinstance(m, sc_messages.Money): raise ValueError(u'Inputs should be of type %s' % (sc_messages.Money,)) if a.currencyCode != b.currencyCode: raise ValueError(u'Money values need the same currency to be summed') nano_carry, nanos_sum = _sum_nanos(a, b) units_sum_no_carry = a.units + b.units units_sum = units_sum_no_carry + nano_carry # Adjust when units_sum and nanos_sum have different signs if units_sum > 0 and nanos_sum < 0: units_sum -= 1 nanos_sum += _BILLION elif units_sum < 0 and nanos_sum > 0: units_sum += 1 nanos_sum -= _BILLION # Return the result, detecting overflow if it occurs sign_a = _sign_of(a) sign_b = _sign_of(b) if sign_a > 0 and sign_b > 0 and units_sum >= _INT64_MAX: if not allow_overflow: raise OverflowError(u'Money addition positive overflow') else: return sc_messages.Money(units=_INT64_MAX, nanos=MAX_NANOS, currencyCode=a.currencyCode) elif (sign_a < 0 and sign_b < 0 and (units_sum_no_carry <= -_INT64_MAX or units_sum <= -_INT64_MAX)): if not allow_overflow: raise OverflowError(u'Money addition negative overflow') else: return sc_messages.Money(units=_INT64_MIN, nanos=-MAX_NANOS, currencyCode=a.currencyCode) else: return sc_messages.Money(units=units_sum, nanos=nanos_sum, currencyCode=a.currencyCode)
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Adds two instances of `Money`. Args: a (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): one money value b (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): another money value allow_overflow: determines if the addition is allowed to overflow Return: `Money`: an instance of Money Raises: ValueError: if the inputs do not have the same currency code OverflowError: if the sum overflows and allow_overflow is not `True`
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/money.py#L63-L118
cloudendpoints/endpoints-management-python
endpoints_management/control/money.py
_sign_of
def _sign_of(money): """Determines the amount sign of a money instance Args: money (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): the instance to test Return: int: 1, 0 or -1 """ units = money.units nanos = money.nanos if units: if units > 0: return 1 elif units < 0: return -1 if nanos: if nanos > 0: return 1 elif nanos < 0: return -1 return 0
python
def _sign_of(money): """Determines the amount sign of a money instance Args: money (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): the instance to test Return: int: 1, 0 or -1 """ units = money.units nanos = money.nanos if units: if units > 0: return 1 elif units < 0: return -1 if nanos: if nanos > 0: return 1 elif nanos < 0: return -1 return 0
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Determines the amount sign of a money instance Args: money (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): the instance to test Return: int: 1, 0 or -1
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/money.py#L133-L156
cloudendpoints/endpoints-management-python
endpoints_management/auth/tokens.py
_check_jwt_claims
def _check_jwt_claims(jwt_claims): """Checks whether the JWT claims should be accepted. Specifically, this method checks the "exp" claim and the "nbf" claim (if present), and raises UnauthenticatedException if 1) the current time is before the time identified by the "nbf" claim, or 2) the current time is equal to or after the time identified by the "exp" claim. Args: jwt_claims: the JWT claims whose expiratio to be checked. Raises: UnauthenticatedException: When the "exp" claim is malformed or the JWT has already expired. """ current_time = time.time() expiration = jwt_claims[u"exp"] if not isinstance(expiration, INT_TYPES): raise suppliers.UnauthenticatedException(u'Malformed claim: "exp" must be an integer') if current_time >= expiration: raise suppliers.UnauthenticatedException(u"The auth token has already expired") if u"nbf" not in jwt_claims: return not_before_time = jwt_claims[u"nbf"] if not isinstance(not_before_time, INT_TYPES): raise suppliers.UnauthenticatedException(u'Malformed claim: "nbf" must be an integer') if current_time < not_before_time: raise suppliers.UnauthenticatedException(u'Current time is less than the "nbf" time')
python
def _check_jwt_claims(jwt_claims): """Checks whether the JWT claims should be accepted. Specifically, this method checks the "exp" claim and the "nbf" claim (if present), and raises UnauthenticatedException if 1) the current time is before the time identified by the "nbf" claim, or 2) the current time is equal to or after the time identified by the "exp" claim. Args: jwt_claims: the JWT claims whose expiratio to be checked. Raises: UnauthenticatedException: When the "exp" claim is malformed or the JWT has already expired. """ current_time = time.time() expiration = jwt_claims[u"exp"] if not isinstance(expiration, INT_TYPES): raise suppliers.UnauthenticatedException(u'Malformed claim: "exp" must be an integer') if current_time >= expiration: raise suppliers.UnauthenticatedException(u"The auth token has already expired") if u"nbf" not in jwt_claims: return not_before_time = jwt_claims[u"nbf"] if not isinstance(not_before_time, INT_TYPES): raise suppliers.UnauthenticatedException(u'Malformed claim: "nbf" must be an integer') if current_time < not_before_time: raise suppliers.UnauthenticatedException(u'Current time is less than the "nbf" time')
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Checks whether the JWT claims should be accepted. Specifically, this method checks the "exp" claim and the "nbf" claim (if present), and raises UnauthenticatedException if 1) the current time is before the time identified by the "nbf" claim, or 2) the current time is equal to or after the time identified by the "exp" claim. Args: jwt_claims: the JWT claims whose expiratio to be checked. Raises: UnauthenticatedException: When the "exp" claim is malformed or the JWT has already expired.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/auth/tokens.py#L169-L199
cloudendpoints/endpoints-management-python
endpoints_management/auth/tokens.py
_verify_required_claims_exist
def _verify_required_claims_exist(jwt_claims): """Verifies that the required claims exist. Args: jwt_claims: the JWT claims to be verified. Raises: UnauthenticatedException: if some claim doesn't exist. """ for claim_name in [u"aud", u"exp", u"iss", u"sub"]: if claim_name not in jwt_claims: raise suppliers.UnauthenticatedException(u'Missing "%s" claim' % claim_name)
python
def _verify_required_claims_exist(jwt_claims): """Verifies that the required claims exist. Args: jwt_claims: the JWT claims to be verified. Raises: UnauthenticatedException: if some claim doesn't exist. """ for claim_name in [u"aud", u"exp", u"iss", u"sub"]: if claim_name not in jwt_claims: raise suppliers.UnauthenticatedException(u'Missing "%s" claim' % claim_name)
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Verifies that the required claims exist. Args: jwt_claims: the JWT claims to be verified. Raises: UnauthenticatedException: if some claim doesn't exist.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/auth/tokens.py#L202-L213
cloudendpoints/endpoints-management-python
endpoints_management/auth/tokens.py
Authenticator.authenticate
def authenticate(self, auth_token, auth_info, service_name): """Authenticates the current auth token. Args: auth_token: the auth token. auth_info: the auth configurations of the API method being called. service_name: the name of this service. Returns: A constructed UserInfo object representing the identity of the caller. Raises: UnauthenticatedException: When * the issuer is not allowed; * the audiences are not allowed; * the auth token has already expired. """ try: jwt_claims = self.get_jwt_claims(auth_token) except Exception as error: raise suppliers.UnauthenticatedException(u"Cannot decode the auth token", error) _check_jwt_claims(jwt_claims) user_info = UserInfo(jwt_claims) issuer = user_info.issuer if issuer not in self._issuers_to_provider_ids: raise suppliers.UnauthenticatedException(u"Unknown issuer: " + issuer) provider_id = self._issuers_to_provider_ids[issuer] if not auth_info.is_provider_allowed(provider_id): raise suppliers.UnauthenticatedException(u"The requested method does not " u"allow provider id: " + provider_id) # Check the audiences decoded from the auth token. The auth token is # allowed when 1) an audience is equal to the service name, or 2) at least # one audience is allowed in the method configuration. audiences = user_info.audiences has_service_name = service_name in audiences allowed_audiences = auth_info.get_allowed_audiences(provider_id) intersected_audiences = set(allowed_audiences).intersection(audiences) if not has_service_name and not intersected_audiences: raise suppliers.UnauthenticatedException(u"Audiences not allowed") return user_info
python
def authenticate(self, auth_token, auth_info, service_name): """Authenticates the current auth token. Args: auth_token: the auth token. auth_info: the auth configurations of the API method being called. service_name: the name of this service. Returns: A constructed UserInfo object representing the identity of the caller. Raises: UnauthenticatedException: When * the issuer is not allowed; * the audiences are not allowed; * the auth token has already expired. """ try: jwt_claims = self.get_jwt_claims(auth_token) except Exception as error: raise suppliers.UnauthenticatedException(u"Cannot decode the auth token", error) _check_jwt_claims(jwt_claims) user_info = UserInfo(jwt_claims) issuer = user_info.issuer if issuer not in self._issuers_to_provider_ids: raise suppliers.UnauthenticatedException(u"Unknown issuer: " + issuer) provider_id = self._issuers_to_provider_ids[issuer] if not auth_info.is_provider_allowed(provider_id): raise suppliers.UnauthenticatedException(u"The requested method does not " u"allow provider id: " + provider_id) # Check the audiences decoded from the auth token. The auth token is # allowed when 1) an audience is equal to the service name, or 2) at least # one audience is allowed in the method configuration. audiences = user_info.audiences has_service_name = service_name in audiences allowed_audiences = auth_info.get_allowed_audiences(provider_id) intersected_audiences = set(allowed_audiences).intersection(audiences) if not has_service_name and not intersected_audiences: raise suppliers.UnauthenticatedException(u"Audiences not allowed") return user_info
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Authenticates the current auth token. Args: auth_token: the auth token. auth_info: the auth configurations of the API method being called. service_name: the name of this service. Returns: A constructed UserInfo object representing the identity of the caller. Raises: UnauthenticatedException: When * the issuer is not allowed; * the audiences are not allowed; * the auth token has already expired.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/auth/tokens.py#L54-L100
cloudendpoints/endpoints-management-python
endpoints_management/auth/tokens.py
Authenticator.get_jwt_claims
def get_jwt_claims(self, auth_token): """Decodes the auth_token into JWT claims represented as a JSON object. This method first tries to look up the cache and returns the result immediately in case of a cache hit. When cache misses, the method tries to decode the given auth token, verify its signature, and check the existence of required JWT claims. When successful, the decoded JWT claims are loaded into the cache and then returned. Args: auth_token: the auth token to be decoded. Returns: The decoded JWT claims. Raises: UnauthenticatedException: When the signature verification fails, or when required claims are missing. """ def _decode_and_verify(): jwt_claims = jwt.JWT().unpack(auth_token).payload() _verify_required_claims_exist(jwt_claims) issuer = jwt_claims[u"iss"] keys = self._jwks_supplier.supply(issuer) try: return jws.JWS().verify_compact(auth_token, keys) except (jwkest.BadSignature, jws.NoSuitableSigningKeys, jws.SignerAlgError) as exception: raise suppliers.UnauthenticatedException(u"Signature verification failed", exception) return self._cache.get_or_create(auth_token, _decode_and_verify)
python
def get_jwt_claims(self, auth_token): """Decodes the auth_token into JWT claims represented as a JSON object. This method first tries to look up the cache and returns the result immediately in case of a cache hit. When cache misses, the method tries to decode the given auth token, verify its signature, and check the existence of required JWT claims. When successful, the decoded JWT claims are loaded into the cache and then returned. Args: auth_token: the auth token to be decoded. Returns: The decoded JWT claims. Raises: UnauthenticatedException: When the signature verification fails, or when required claims are missing. """ def _decode_and_verify(): jwt_claims = jwt.JWT().unpack(auth_token).payload() _verify_required_claims_exist(jwt_claims) issuer = jwt_claims[u"iss"] keys = self._jwks_supplier.supply(issuer) try: return jws.JWS().verify_compact(auth_token, keys) except (jwkest.BadSignature, jws.NoSuitableSigningKeys, jws.SignerAlgError) as exception: raise suppliers.UnauthenticatedException(u"Signature verification failed", exception) return self._cache.get_or_create(auth_token, _decode_and_verify)
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Decodes the auth_token into JWT claims represented as a JSON object. This method first tries to look up the cache and returns the result immediately in case of a cache hit. When cache misses, the method tries to decode the given auth token, verify its signature, and check the existence of required JWT claims. When successful, the decoded JWT claims are loaded into the cache and then returned. Args: auth_token: the auth token to be decoded. Returns: The decoded JWT claims. Raises: UnauthenticatedException: When the signature verification fails, or when required claims are missing.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/auth/tokens.py#L102-L135
cloudendpoints/endpoints-management-python
endpoints_management/control/caches.py
create
def create(options, timer=None, use_deque=True): """Create a cache specified by ``options`` ``options`` is an instance of either :class:`endpoints_management.control.caches.CheckOptions` or :class:`endpoints_management.control.caches.ReportOptions` The returned cache is wrapped in a :class:`LockedObject`, requiring it to be accessed in a with statement that gives synchronized access Example: >>> options = CheckOptions() >>> synced_cache = make_cache(options) >>> with synced_cache as cache: # acquire the lock ... cache['a_key'] = 'a_value' Args: options (object): an instance of either of the options classes Returns: :class:`cachetools.Cache`: the cache implementation specified by options or None: if options is ``None`` or if options.num_entries < 0 Raises: ValueError: if options is not a support type """ if options is None: # no options, don't create cache return None if not isinstance(options, (CheckOptions, QuotaOptions, ReportOptions)): _logger.error(u'make_cache(): bad options %s', options) raise ValueError(u'Invalid options') if (options.num_entries <= 0): _logger.debug(u"did not create cache, options was %s", options) return None _logger.debug(u"creating a cache from %s", options) if (options.flush_interval > ZERO_INTERVAL): # options always has a flush_interval, but may have an expiration # field. If the expiration is present, use that instead of the # flush_interval for the ttl ttl = getattr(options, u'expiration', options.flush_interval) cache_cls = DequeOutTTLCache if use_deque else cachetools.TTLCache return LockedObject( cache_cls( options.num_entries, ttl=ttl.total_seconds(), timer=to_cache_timer(timer) )) cache_cls = DequeOutLRUCache if use_deque else cachetools.LRUCache return LockedObject(cache_cls(options.num_entries))
python
def create(options, timer=None, use_deque=True): """Create a cache specified by ``options`` ``options`` is an instance of either :class:`endpoints_management.control.caches.CheckOptions` or :class:`endpoints_management.control.caches.ReportOptions` The returned cache is wrapped in a :class:`LockedObject`, requiring it to be accessed in a with statement that gives synchronized access Example: >>> options = CheckOptions() >>> synced_cache = make_cache(options) >>> with synced_cache as cache: # acquire the lock ... cache['a_key'] = 'a_value' Args: options (object): an instance of either of the options classes Returns: :class:`cachetools.Cache`: the cache implementation specified by options or None: if options is ``None`` or if options.num_entries < 0 Raises: ValueError: if options is not a support type """ if options is None: # no options, don't create cache return None if not isinstance(options, (CheckOptions, QuotaOptions, ReportOptions)): _logger.error(u'make_cache(): bad options %s', options) raise ValueError(u'Invalid options') if (options.num_entries <= 0): _logger.debug(u"did not create cache, options was %s", options) return None _logger.debug(u"creating a cache from %s", options) if (options.flush_interval > ZERO_INTERVAL): # options always has a flush_interval, but may have an expiration # field. If the expiration is present, use that instead of the # flush_interval for the ttl ttl = getattr(options, u'expiration', options.flush_interval) cache_cls = DequeOutTTLCache if use_deque else cachetools.TTLCache return LockedObject( cache_cls( options.num_entries, ttl=ttl.total_seconds(), timer=to_cache_timer(timer) )) cache_cls = DequeOutLRUCache if use_deque else cachetools.LRUCache return LockedObject(cache_cls(options.num_entries))
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/caches.py#L166-L219
cloudendpoints/endpoints-management-python
endpoints_management/control/caches.py
to_cache_timer
def to_cache_timer(datetime_func): """Converts a datetime_func to a timestamp_func. Args: datetime_func (callable[[datatime]]): a func that returns the current time Returns: time_func (callable[[timestamp]): a func that returns the timestamp from the epoch """ if datetime_func is None: datetime_func = datetime.utcnow def _timer(): """Return the timestamp since the epoch.""" return (datetime_func() - datetime(1970, 1, 1)).total_seconds() return _timer
python
def to_cache_timer(datetime_func): """Converts a datetime_func to a timestamp_func. Args: datetime_func (callable[[datatime]]): a func that returns the current time Returns: time_func (callable[[timestamp]): a func that returns the timestamp from the epoch """ if datetime_func is None: datetime_func = datetime.utcnow def _timer(): """Return the timestamp since the epoch.""" return (datetime_func() - datetime(1970, 1, 1)).total_seconds() return _timer
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/caches.py#L321-L339
cloudendpoints/endpoints-management-python
endpoints_management/control/caches.py
DequeOutTTLCache.out_deque
def out_deque(self): """The :class:`collections.deque` to which expired items are added.""" self.expire() expired = {k: v for (k, v) in self._tracking.items() if self.get(k) is None} for k, v in expired.items(): del self._tracking[k] self._out_deque.append(v) return self._out_deque
python
def out_deque(self): """The :class:`collections.deque` to which expired items are added.""" self.expire() expired = {k: v for (k, v) in self._tracking.items() if self.get(k) is None} for k, v in expired.items(): del self._tracking[k] self._out_deque.append(v) return self._out_deque
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The :class:`collections.deque` to which expired items are added.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/caches.py#L253-L260
yunstanford/sanic-transmute
ubuild.py
distribute
def distribute(build): """ distribute the uranium package """ build.packages.install("wheel") build.packages.install("twine") build.executables.run([ "python", "setup.py", "sdist", "bdist_wheel", "--universal", "upload", ]) build.executables.run([ "twine", "upload", "dist/*" ])
python
def distribute(build): """ distribute the uranium package """ build.packages.install("wheel") build.packages.install("twine") build.executables.run([ "python", "setup.py", "sdist", "bdist_wheel", "--universal", "upload", ]) build.executables.run([ "twine", "upload", "dist/*" ])
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distribute the uranium package
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train
https://github.com/yunstanford/sanic-transmute/blob/5040819d0bd6024e257603f69d12984a3b112cf0/ubuild.py#L25-L35
cloudendpoints/endpoints-management-python
endpoints_management/control/client.py
use_gae_thread
def use_gae_thread(): """Makes ``Client``s started after this use the appengine thread class.""" global _THREAD_CLASS # pylint: disable=global-statement try: from google.appengine.api.background_thread import background_thread _THREAD_CLASS = background_thread.BackgroundThread except ImportError: _logger.error( u'Could not install appengine background threads!' u' Please install the python AppEngine SDK and use this from there')
python
def use_gae_thread(): """Makes ``Client``s started after this use the appengine thread class.""" global _THREAD_CLASS # pylint: disable=global-statement try: from google.appengine.api.background_thread import background_thread _THREAD_CLASS = background_thread.BackgroundThread except ImportError: _logger.error( u'Could not install appengine background threads!' u' Please install the python AppEngine SDK and use this from there')
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Makes ``Client``s started after this use the appengine thread class.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/client.py#L506-L515
cloudendpoints/endpoints-management-python
endpoints_management/control/client.py
Client.start
def start(self): """Starts processing. Calling this method - starts the thread that regularly flushes all enabled caches. - enables the other methods on the instance to be called successfully """ with self._lock: if self._running: return self._stopped = False self._running = True self._start_idle_timer() _logger.debug(u'starting thread of type %s to run the scheduler', _THREAD_CLASS) self._thread = create_thread(target=self._schedule_flushes) try: self._thread.start() except Exception: # pylint: disable=broad-except _logger.warn( u'no scheduler thread, scheduler.run() will be invoked by report(...)', exc_info=True) self._thread = None self._initialize_flushing()
python
def start(self): """Starts processing. Calling this method - starts the thread that regularly flushes all enabled caches. - enables the other methods on the instance to be called successfully """ with self._lock: if self._running: return self._stopped = False self._running = True self._start_idle_timer() _logger.debug(u'starting thread of type %s to run the scheduler', _THREAD_CLASS) self._thread = create_thread(target=self._schedule_flushes) try: self._thread.start() except Exception: # pylint: disable=broad-except _logger.warn( u'no scheduler thread, scheduler.run() will be invoked by report(...)', exc_info=True) self._thread = None self._initialize_flushing()
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Starts processing. Calling this method - starts the thread that regularly flushes all enabled caches. - enables the other methods on the instance to be called successfully
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/client.py#L228-L253
cloudendpoints/endpoints-management-python
endpoints_management/control/client.py
Client.stop
def stop(self): """Halts processing This will lead to the reports being flushed, the caches being cleared and a stop to the current processing thread. """ with self._lock: if self._stopped: _logger.debug(u'%s is already stopped', self) return self._flush_all_reports() self._stopped = True if self._run_scheduler_directly: self._cleanup_if_stopped() if self._scheduler and self._scheduler.empty(): # if there are events scheduled, then _running will subsequently # be set False by the scheduler thread. This handles the # case where there are no events, e.g because all aggreagation # was disabled self._running = False self._scheduler = None
python
def stop(self): """Halts processing This will lead to the reports being flushed, the caches being cleared and a stop to the current processing thread. """ with self._lock: if self._stopped: _logger.debug(u'%s is already stopped', self) return self._flush_all_reports() self._stopped = True if self._run_scheduler_directly: self._cleanup_if_stopped() if self._scheduler and self._scheduler.empty(): # if there are events scheduled, then _running will subsequently # be set False by the scheduler thread. This handles the # case where there are no events, e.g because all aggreagation # was disabled self._running = False self._scheduler = None
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/client.py#L255-L278
cloudendpoints/endpoints-management-python
endpoints_management/control/client.py
Client.check
def check(self, check_req): """Process a check_request. The req is first passed to the check_aggregator. If there is a valid cached response, that is returned, otherwise a response is obtained from the transport. Args: check_req (``ServicecontrolServicesCheckRequest``): to be sent to the service control service Returns: ``CheckResponse``: either the cached response if one is applicable or a response from making a transport request, or None if if the request to the transport fails """ self.start() res = self._check_aggregator.check(check_req) if res: _logger.debug(u'using cached check response for %s: %s', check_request, res) return res # Application code should not fail because check request's don't # complete, They should fail open, so here simply log the error and # return None to indicate that no response was obtained try: transport = self._create_transport() resp = transport.services.Check(check_req) self._check_aggregator.add_response(check_req, resp) return resp except exceptions.Error: # only sink apitools errors _logger.error(u'direct send of check request failed %s', check_request, exc_info=True) return None
python
def check(self, check_req): """Process a check_request. The req is first passed to the check_aggregator. If there is a valid cached response, that is returned, otherwise a response is obtained from the transport. Args: check_req (``ServicecontrolServicesCheckRequest``): to be sent to the service control service Returns: ``CheckResponse``: either the cached response if one is applicable or a response from making a transport request, or None if if the request to the transport fails """ self.start() res = self._check_aggregator.check(check_req) if res: _logger.debug(u'using cached check response for %s: %s', check_request, res) return res # Application code should not fail because check request's don't # complete, They should fail open, so here simply log the error and # return None to indicate that no response was obtained try: transport = self._create_transport() resp = transport.services.Check(check_req) self._check_aggregator.add_response(check_req, resp) return resp except exceptions.Error: # only sink apitools errors _logger.error(u'direct send of check request failed %s', check_request, exc_info=True) return None
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/client.py#L280-L316
cloudendpoints/endpoints-management-python
endpoints_management/control/client.py
Client.report
def report(self, report_req): """Processes a report request. It will aggregate it with prior report_requests to be send later or it will send it immediately if that's appropriate. """ self.start() # no thread running, run the scheduler to ensure any pending # flush tasks are executed. if self._run_scheduler_directly: self._scheduler.run(blocking=False) if not self._report_aggregator.report(report_req): _logger.debug(u'need to send a report request directly') try: transport = self._create_transport() transport.services.Report(report_req) except exceptions.Error: # only sink apitools errors _logger.error(u'direct send for report request failed', exc_info=True)
python
def report(self, report_req): """Processes a report request. It will aggregate it with prior report_requests to be send later or it will send it immediately if that's appropriate. """ self.start() # no thread running, run the scheduler to ensure any pending # flush tasks are executed. if self._run_scheduler_directly: self._scheduler.run(blocking=False) if not self._report_aggregator.report(report_req): _logger.debug(u'need to send a report request directly') try: transport = self._create_transport() transport.services.Report(report_req) except exceptions.Error: # only sink apitools errors _logger.error(u'direct send for report request failed', exc_info=True)
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train
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cloudendpoints/endpoints-management-python
endpoints_management/control/metric_value.py
create
def create(labels=None, **kw): """Constructs a new metric value. This acts as an alternate to MetricValue constructor which simplifies specification of labels. Rather than having to create a MetricValue.Labels instance, all that's necessary to specify the required string. Args: labels (dict([string, [string]]): **kw: any other valid keyword args valid in the MetricValue constructor Returns :class:`MetricValue`: the created instance """ if labels is not None: kw[u'labels'] = encoding.PyValueToMessage(MetricValue.LabelsValue, labels) return MetricValue(**kw)
python
def create(labels=None, **kw): """Constructs a new metric value. This acts as an alternate to MetricValue constructor which simplifies specification of labels. Rather than having to create a MetricValue.Labels instance, all that's necessary to specify the required string. Args: labels (dict([string, [string]]): **kw: any other valid keyword args valid in the MetricValue constructor Returns :class:`MetricValue`: the created instance """ if labels is not None: kw[u'labels'] = encoding.PyValueToMessage(MetricValue.LabelsValue, labels) return MetricValue(**kw)
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Constructs a new metric value. This acts as an alternate to MetricValue constructor which simplifies specification of labels. Rather than having to create a MetricValue.Labels instance, all that's necessary to specify the required string. Args: labels (dict([string, [string]]): **kw: any other valid keyword args valid in the MetricValue constructor Returns :class:`MetricValue`: the created instance
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/metric_value.py#L37-L56
cloudendpoints/endpoints-management-python
endpoints_management/control/metric_value.py
merge
def merge(metric_kind, prior, latest): """Merges `prior` and `latest` Args: metric_kind (:class:`MetricKind`): indicates the kind of metrics being merged prior (:class:`MetricValue`): an prior instance of the metric latest (:class:`MetricValue`: the latest instance of the metric """ prior_type, _ = _detect_value(prior) latest_type, _ = _detect_value(latest) if prior_type != latest_type: _logger.warn(u'Metric values are not compatible: %s, %s', prior, latest) raise ValueError(u'Incompatible delta metric values') if prior_type is None: _logger.warn(u'Bad metric values, types not known for : %s, %s', prior, latest) raise ValueError(u'Unsupported delta metric types') if metric_kind == MetricKind.DELTA: return _merge_delta_metric(prior, latest) else: return _merge_cumulative_or_gauge_metrics(prior, latest)
python
def merge(metric_kind, prior, latest): """Merges `prior` and `latest` Args: metric_kind (:class:`MetricKind`): indicates the kind of metrics being merged prior (:class:`MetricValue`): an prior instance of the metric latest (:class:`MetricValue`: the latest instance of the metric """ prior_type, _ = _detect_value(prior) latest_type, _ = _detect_value(latest) if prior_type != latest_type: _logger.warn(u'Metric values are not compatible: %s, %s', prior, latest) raise ValueError(u'Incompatible delta metric values') if prior_type is None: _logger.warn(u'Bad metric values, types not known for : %s, %s', prior, latest) raise ValueError(u'Unsupported delta metric types') if metric_kind == MetricKind.DELTA: return _merge_delta_metric(prior, latest) else: return _merge_cumulative_or_gauge_metrics(prior, latest)
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train
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cloudendpoints/endpoints-management-python
endpoints_management/control/metric_value.py
update_hash
def update_hash(a_hash, mv): """Adds ``mv`` to ``a_hash`` Args: a_hash (`Hash`): the secure hash, e.g created by hashlib.md5 mv (:class:`MetricValue`): the instance to add to the hash """ if mv.labels: signing.add_dict_to_hash(a_hash, encoding.MessageToPyValue(mv.labels)) money_value = mv.get_assigned_value(u'moneyValue') if money_value is not None: a_hash.update(b'\x00') a_hash.update(money_value.currencyCode.encode('utf-8'))
python
def update_hash(a_hash, mv): """Adds ``mv`` to ``a_hash`` Args: a_hash (`Hash`): the secure hash, e.g created by hashlib.md5 mv (:class:`MetricValue`): the instance to add to the hash """ if mv.labels: signing.add_dict_to_hash(a_hash, encoding.MessageToPyValue(mv.labels)) money_value = mv.get_assigned_value(u'moneyValue') if money_value is not None: a_hash.update(b'\x00') a_hash.update(money_value.currencyCode.encode('utf-8'))
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/metric_value.py#L85-L98
cloudendpoints/endpoints-management-python
endpoints_management/control/metric_value.py
sign
def sign(mv): """Obtains a signature for a `MetricValue` Args: mv (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricValue`): a MetricValue that's part of an operation Returns: string: a unique signature for that operation """ md5 = hashlib.md5() update_hash(md5, mv) return md5.digest()
python
def sign(mv): """Obtains a signature for a `MetricValue` Args: mv (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricValue`): a MetricValue that's part of an operation Returns: string: a unique signature for that operation """ md5 = hashlib.md5() update_hash(md5, mv) return md5.digest()
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Obtains a signature for a `MetricValue` Args: mv (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricValue`): a MetricValue that's part of an operation Returns: string: a unique signature for that operation
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/metric_value.py#L101-L113
cloudendpoints/endpoints-management-python
endpoints_management/auth/suppliers.py
KeyUriSupplier.supply
def supply(self, issuer): """Supplies the `jwks_uri` for the given issuer. Args: issuer: the issuer. Returns: The `jwks_uri` that is either statically configured or retrieved via OpenId discovery. None is returned when the issuer is unknown or the OpenId discovery fails. """ issuer_uri_config = self._issuer_uri_configs.get(issuer) if not issuer_uri_config: # The issuer is unknown. return jwks_uri = issuer_uri_config.jwks_uri if jwks_uri: # When jwks_uri is set, return it directly. return jwks_uri # When jwksUri is empty, we try to retrieve it through the OpenID # discovery. open_id_valid = issuer_uri_config.open_id_valid if open_id_valid: discovered_jwks_uri = _discover_jwks_uri(issuer) self._issuer_uri_configs[issuer] = IssuerUriConfig(False, discovered_jwks_uri) return discovered_jwks_uri
python
def supply(self, issuer): """Supplies the `jwks_uri` for the given issuer. Args: issuer: the issuer. Returns: The `jwks_uri` that is either statically configured or retrieved via OpenId discovery. None is returned when the issuer is unknown or the OpenId discovery fails. """ issuer_uri_config = self._issuer_uri_configs.get(issuer) if not issuer_uri_config: # The issuer is unknown. return jwks_uri = issuer_uri_config.jwks_uri if jwks_uri: # When jwks_uri is set, return it directly. return jwks_uri # When jwksUri is empty, we try to retrieve it through the OpenID # discovery. open_id_valid = issuer_uri_config.open_id_valid if open_id_valid: discovered_jwks_uri = _discover_jwks_uri(issuer) self._issuer_uri_configs[issuer] = IssuerUriConfig(False, discovered_jwks_uri) return discovered_jwks_uri
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Supplies the `jwks_uri` for the given issuer. Args: issuer: the issuer. Returns: The `jwks_uri` that is either statically configured or retrieved via OpenId discovery. None is returned when the issuer is unknown or the OpenId discovery fails.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/auth/suppliers.py#L44-L73
cloudendpoints/endpoints-management-python
endpoints_management/auth/suppliers.py
JwksSupplier.supply
def supply(self, issuer): """Supplies the `Json Web Key Set` for the given issuer. Args: issuer: the issuer. Returns: The successfully retrieved Json Web Key Set. None is returned if the issuer is unknown or the retrieval process fails. Raises: UnauthenticatedException: When this method cannot supply JWKS for the given issuer (e.g. unknown issuer, HTTP request error). """ def _retrieve_jwks(): """Retrieve the JWKS from the given jwks_uri when cache misses.""" jwks_uri = self._key_uri_supplier.supply(issuer) if not jwks_uri: raise UnauthenticatedException(u"Cannot find the `jwks_uri` for issuer " u"%s: either the issuer is unknown or " u"the OpenID discovery failed" % issuer) try: response = requests.get(jwks_uri) json_response = response.json() except Exception as exception: message = u"Cannot retrieve valid verification keys from the `jwks_uri`" raise UnauthenticatedException(message, exception) if u"keys" in json_response: # De-serialize the JSON as a JWKS object. jwks_keys = jwk.KEYS() jwks_keys.load_jwks(response.text) return jwks_keys._keys else: # The JSON is a dictionary mapping from key id to X.509 certificates. # Thus we extract the public key from the X.509 certificates and # construct a JWKS object. return _extract_x509_certificates(json_response) return self._jwks_cache.get_or_create(issuer, _retrieve_jwks)
python
def supply(self, issuer): """Supplies the `Json Web Key Set` for the given issuer. Args: issuer: the issuer. Returns: The successfully retrieved Json Web Key Set. None is returned if the issuer is unknown or the retrieval process fails. Raises: UnauthenticatedException: When this method cannot supply JWKS for the given issuer (e.g. unknown issuer, HTTP request error). """ def _retrieve_jwks(): """Retrieve the JWKS from the given jwks_uri when cache misses.""" jwks_uri = self._key_uri_supplier.supply(issuer) if not jwks_uri: raise UnauthenticatedException(u"Cannot find the `jwks_uri` for issuer " u"%s: either the issuer is unknown or " u"the OpenID discovery failed" % issuer) try: response = requests.get(jwks_uri) json_response = response.json() except Exception as exception: message = u"Cannot retrieve valid verification keys from the `jwks_uri`" raise UnauthenticatedException(message, exception) if u"keys" in json_response: # De-serialize the JSON as a JWKS object. jwks_keys = jwk.KEYS() jwks_keys.load_jwks(response.text) return jwks_keys._keys else: # The JSON is a dictionary mapping from key id to X.509 certificates. # Thus we extract the public key from the X.509 certificates and # construct a JWKS object. return _extract_x509_certificates(json_response) return self._jwks_cache.get_or_create(issuer, _retrieve_jwks)
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/auth/suppliers.py#L90-L131
cloudendpoints/endpoints-management-python
endpoints_management/control/label_descriptor.py
KnownLabels.matches
def matches(self, desc): """Determines if a given label descriptor matches this enum instance Args: desc (:class:`endpoints_management.gen.servicemanagement_v1_messages.LabelDescriptor`): the instance to test Return: `True` if desc is supported, otherwise `False` """ desc_value_type = desc.valueType or ValueType.STRING # default not parsed return (self.label_name == desc.key and self.value_type == desc_value_type)
python
def matches(self, desc): """Determines if a given label descriptor matches this enum instance Args: desc (:class:`endpoints_management.gen.servicemanagement_v1_messages.LabelDescriptor`): the instance to test Return: `True` if desc is supported, otherwise `False` """ desc_value_type = desc.valueType or ValueType.STRING # default not parsed return (self.label_name == desc.key and self.value_type == desc_value_type)
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Determines if a given label descriptor matches this enum instance Args: desc (:class:`endpoints_management.gen.servicemanagement_v1_messages.LabelDescriptor`): the instance to test Return: `True` if desc is supported, otherwise `False`
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/label_descriptor.py#L249-L262
cloudendpoints/endpoints-management-python
endpoints_management/control/label_descriptor.py
KnownLabels.do_labels_update
def do_labels_update(self, info, labels): """Updates a dictionary of labels using the assigned update_op_func Args: info (:class:`endpoints_management.control.report_request.Info`): the info instance to update labels (dict[string[string]]): the labels dictionary Return: `True` if desc is supported, otherwise `False` """ if self.update_label_func: self.update_label_func(self.label_name, info, labels)
python
def do_labels_update(self, info, labels): """Updates a dictionary of labels using the assigned update_op_func Args: info (:class:`endpoints_management.control.report_request.Info`): the info instance to update labels (dict[string[string]]): the labels dictionary Return: `True` if desc is supported, otherwise `False` """ if self.update_label_func: self.update_label_func(self.label_name, info, labels)
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Updates a dictionary of labels using the assigned update_op_func Args: info (:class:`endpoints_management.control.report_request.Info`): the info instance to update labels (dict[string[string]]): the labels dictionary Return: `True` if desc is supported, otherwise `False`
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/label_descriptor.py#L264-L277
cloudendpoints/endpoints-management-python
endpoints_management/control/label_descriptor.py
KnownLabels.is_supported
def is_supported(cls, desc): """Determines if the given label descriptor is supported. Args: desc (:class:`endpoints_management.gen.servicemanagement_v1_messages.LabelDescriptor`): the label descriptor to test Return: `True` if desc is supported, otherwise `False` """ for l in cls: if l.matches(desc): return True return False
python
def is_supported(cls, desc): """Determines if the given label descriptor is supported. Args: desc (:class:`endpoints_management.gen.servicemanagement_v1_messages.LabelDescriptor`): the label descriptor to test Return: `True` if desc is supported, otherwise `False` """ for l in cls: if l.matches(desc): return True return False
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Determines if the given label descriptor is supported. Args: desc (:class:`endpoints_management.gen.servicemanagement_v1_messages.LabelDescriptor`): the label descriptor to test Return: `True` if desc is supported, otherwise `False`
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/label_descriptor.py#L280-L294
cloudendpoints/endpoints-management-python
endpoints_management/control/service.py
extract_report_spec
def extract_report_spec( service, label_is_supported=label_descriptor.KnownLabels.is_supported, metric_is_supported=metric_descriptor.KnownMetrics.is_supported): """Obtains the used logs, metrics and labels from a service. label_is_supported and metric_is_supported are filter functions used to determine if label_descriptors or metric_descriptors found in the service are supported. Args: service (:class:`endpoints_management.gen.servicecontrol_v1_messages.Service`): a service instance label_is_supported (:func): determines if a given label is supported metric_is_supported (:func): determines if a given metric is supported Return: tuple: ( logs (set[string}), # the logs to report to metrics (list[string]), # the metrics to use labels (list[string]) # the labels to add ) """ resource_descs = service.monitoredResources labels_dict = {} logs = set() if service.logging: logs = _add_logging_destinations( service.logging.producerDestinations, resource_descs, service.logs, labels_dict, label_is_supported ) metrics_dict = {} monitoring = service.monitoring if monitoring: for destinations in (monitoring.consumerDestinations, monitoring.producerDestinations): _add_monitoring_destinations(destinations, resource_descs, service.metrics, metrics_dict, metric_is_supported, labels_dict, label_is_supported) return logs, metrics_dict.keys(), labels_dict.keys()
python
def extract_report_spec( service, label_is_supported=label_descriptor.KnownLabels.is_supported, metric_is_supported=metric_descriptor.KnownMetrics.is_supported): """Obtains the used logs, metrics and labels from a service. label_is_supported and metric_is_supported are filter functions used to determine if label_descriptors or metric_descriptors found in the service are supported. Args: service (:class:`endpoints_management.gen.servicecontrol_v1_messages.Service`): a service instance label_is_supported (:func): determines if a given label is supported metric_is_supported (:func): determines if a given metric is supported Return: tuple: ( logs (set[string}), # the logs to report to metrics (list[string]), # the metrics to use labels (list[string]) # the labels to add ) """ resource_descs = service.monitoredResources labels_dict = {} logs = set() if service.logging: logs = _add_logging_destinations( service.logging.producerDestinations, resource_descs, service.logs, labels_dict, label_is_supported ) metrics_dict = {} monitoring = service.monitoring if monitoring: for destinations in (monitoring.consumerDestinations, monitoring.producerDestinations): _add_monitoring_destinations(destinations, resource_descs, service.metrics, metrics_dict, metric_is_supported, labels_dict, label_is_supported) return logs, metrics_dict.keys(), labels_dict.keys()
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Obtains the used logs, metrics and labels from a service. label_is_supported and metric_is_supported are filter functions used to determine if label_descriptors or metric_descriptors found in the service are supported. Args: service (:class:`endpoints_management.gen.servicecontrol_v1_messages.Service`): a service instance label_is_supported (:func): determines if a given label is supported metric_is_supported (:func): determines if a given metric is supported Return: tuple: ( logs (set[string}), # the logs to report to metrics (list[string]), # the metrics to use labels (list[string]) # the labels to add )
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/service.py#L380-L426
cloudendpoints/endpoints-management-python
endpoints_management/control/service.py
MethodRegistry._extract_auth_config
def _extract_auth_config(self): """Obtains the authentication configurations.""" service = self._service if not service.authentication: return {} auth_infos = {} for auth_rule in service.authentication.rules: selector = auth_rule.selector provider_ids_to_audiences = {} for requirement in auth_rule.requirements: provider_id = requirement.providerId if provider_id and requirement.audiences: audiences = requirement.audiences.split(u",") provider_ids_to_audiences[provider_id] = audiences auth_infos[selector] = AuthInfo(provider_ids_to_audiences) return auth_infos
python
def _extract_auth_config(self): """Obtains the authentication configurations.""" service = self._service if not service.authentication: return {} auth_infos = {} for auth_rule in service.authentication.rules: selector = auth_rule.selector provider_ids_to_audiences = {} for requirement in auth_rule.requirements: provider_id = requirement.providerId if provider_id and requirement.audiences: audiences = requirement.audiences.split(u",") provider_ids_to_audiences[provider_id] = audiences auth_infos[selector] = AuthInfo(provider_ids_to_audiences) return auth_infos
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Obtains the authentication configurations.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/service.py#L180-L197
cloudendpoints/endpoints-management-python
endpoints_management/control/service.py
MethodRegistry._extract_methods
def _extract_methods(self): """Obtains the methods used in the service.""" service = self._service all_urls = set() urls_with_options = set() if not service.http: return for rule in service.http.rules: http_method, url = _detect_pattern_option(rule) if not url or not http_method or not rule.selector: _logger.error(u'invalid HTTP binding encountered') continue # Obtain the method info method_info = self._get_or_create_method_info(rule.selector) if rule.body: method_info.body_field_path = rule.body if not self._register(http_method, url, method_info): continue # detected an invalid url all_urls.add(url) if http_method == self._OPTIONS: urls_with_options.add(url) self._add_cors_options_selectors(all_urls - urls_with_options) self._update_usage() self._update_system_parameters()
python
def _extract_methods(self): """Obtains the methods used in the service.""" service = self._service all_urls = set() urls_with_options = set() if not service.http: return for rule in service.http.rules: http_method, url = _detect_pattern_option(rule) if not url or not http_method or not rule.selector: _logger.error(u'invalid HTTP binding encountered') continue # Obtain the method info method_info = self._get_or_create_method_info(rule.selector) if rule.body: method_info.body_field_path = rule.body if not self._register(http_method, url, method_info): continue # detected an invalid url all_urls.add(url) if http_method == self._OPTIONS: urls_with_options.add(url) self._add_cors_options_selectors(all_urls - urls_with_options) self._update_usage() self._update_system_parameters()
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Obtains the methods used in the service.
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/service.py#L212-L238
yunstanford/sanic-transmute
examples/example_attrs_model.py
get_blueprint_params
async def get_blueprint_params(request, left: int, right: int) -> str: """ API Description: Multiply, left * right. This will show in the swagger page (localhost:8000/api/v1/). """ res = left * right return "{left}*{right}={res}".format(left=left, right=right, res=res)
python
async def get_blueprint_params(request, left: int, right: int) -> str: """ API Description: Multiply, left * right. This will show in the swagger page (localhost:8000/api/v1/). """ res = left * right return "{left}*{right}={res}".format(left=left, right=right, res=res)
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API Description: Multiply, left * right. This will show in the swagger page (localhost:8000/api/v1/).
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train
https://github.com/yunstanford/sanic-transmute/blob/5040819d0bd6024e257603f69d12984a3b112cf0/examples/example_attrs_model.py#L54-L59
cloudendpoints/endpoints-management-python
endpoints_management/config/service_config.py
fetch_service_config
def fetch_service_config(service_name=None, service_version=None): """Fetches the service config from Google Service Management API. Args: service_name: the service name. When this argument is unspecified, this method uses the value of the "SERVICE_NAME" environment variable as the service name, and raises ValueError if the environment variable is unset. service_version: the service version. When this argument is unspecified, this method uses the value of the "SERVICE_VERSION" environment variable as the service version, and raises ValueError if the environment variable is unset. Returns: the fetched service config JSON object. Raises: ValueError: when the service name/version is neither provided as an argument or set as an environment variable; or when the fetched service config fails validation. Exception: when the Google Service Management API returns non-200 response. """ if not service_name: service_name = _get_env_var_or_raise(_SERVICE_NAME_ENV_KEY) if not service_version: service_version = _get_service_version(_SERVICE_VERSION_ENV_KEY, service_name) _logger.debug(u'Contacting Service Management API for service %s version %s', service_name, service_version) response = _make_service_config_request(service_name, service_version) _logger.debug(u'obtained service json from the management api:\n%s', response.data) service = encoding.JsonToMessage(messages.Service, response.data) _validate_service_config(service, service_name, service_version) return service
python
def fetch_service_config(service_name=None, service_version=None): """Fetches the service config from Google Service Management API. Args: service_name: the service name. When this argument is unspecified, this method uses the value of the "SERVICE_NAME" environment variable as the service name, and raises ValueError if the environment variable is unset. service_version: the service version. When this argument is unspecified, this method uses the value of the "SERVICE_VERSION" environment variable as the service version, and raises ValueError if the environment variable is unset. Returns: the fetched service config JSON object. Raises: ValueError: when the service name/version is neither provided as an argument or set as an environment variable; or when the fetched service config fails validation. Exception: when the Google Service Management API returns non-200 response. """ if not service_name: service_name = _get_env_var_or_raise(_SERVICE_NAME_ENV_KEY) if not service_version: service_version = _get_service_version(_SERVICE_VERSION_ENV_KEY, service_name) _logger.debug(u'Contacting Service Management API for service %s version %s', service_name, service_version) response = _make_service_config_request(service_name, service_version) _logger.debug(u'obtained service json from the management api:\n%s', response.data) service = encoding.JsonToMessage(messages.Service, response.data) _validate_service_config(service, service_name, service_version) return service
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/config/service_config.py#L46-L78
cloudendpoints/endpoints-management-python
endpoints_management/control/wsgi.py
add_all
def add_all(application, project_id, control_client, loader=service.Loaders.FROM_SERVICE_MANAGEMENT): """Adds all endpoints middleware to a wsgi application. Sets up application to use all default endpoints middleware. Example: >>> application = MyWsgiApp() # an existing WSGI application >>> >>> # the name of the controlled service >>> service_name = 'my-service-name' >>> >>> # A GCP project with service control enabled >>> project_id = 'my-project-id' >>> >>> # wrap the app for service control >>> from endpoints_management.control import wsgi >>> control_client = client.Loaders.DEFAULT.load(service_name) >>> control_client.start() >>> wrapped_app = add_all(application, project_id, control_client) >>> >>> # now use wrapped_app in place of app Args: application: the wrapped wsgi application project_id: the project_id thats providing service control support control_client: the service control client instance loader (:class:`endpoints_management.control.service.Loader`): loads the service instance that configures this instance's behaviour """ return ConfigFetchWrapper(application, project_id, control_client, loader)
python
def add_all(application, project_id, control_client, loader=service.Loaders.FROM_SERVICE_MANAGEMENT): """Adds all endpoints middleware to a wsgi application. Sets up application to use all default endpoints middleware. Example: >>> application = MyWsgiApp() # an existing WSGI application >>> >>> # the name of the controlled service >>> service_name = 'my-service-name' >>> >>> # A GCP project with service control enabled >>> project_id = 'my-project-id' >>> >>> # wrap the app for service control >>> from endpoints_management.control import wsgi >>> control_client = client.Loaders.DEFAULT.load(service_name) >>> control_client.start() >>> wrapped_app = add_all(application, project_id, control_client) >>> >>> # now use wrapped_app in place of app Args: application: the wrapped wsgi application project_id: the project_id thats providing service control support control_client: the service control client instance loader (:class:`endpoints_management.control.service.Loader`): loads the service instance that configures this instance's behaviour """ return ConfigFetchWrapper(application, project_id, control_client, loader)
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Adds all endpoints middleware to a wsgi application. Sets up application to use all default endpoints middleware. Example: >>> application = MyWsgiApp() # an existing WSGI application >>> >>> # the name of the controlled service >>> service_name = 'my-service-name' >>> >>> # A GCP project with service control enabled >>> project_id = 'my-project-id' >>> >>> # wrap the app for service control >>> from endpoints_management.control import wsgi >>> control_client = client.Loaders.DEFAULT.load(service_name) >>> control_client.start() >>> wrapped_app = add_all(application, project_id, control_client) >>> >>> # now use wrapped_app in place of app Args: application: the wrapped wsgi application project_id: the project_id thats providing service control support control_client: the service control client instance loader (:class:`endpoints_management.control.service.Loader`): loads the service instance that configures this instance's behaviour
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/wsgi.py#L94-L125
cloudendpoints/endpoints-management-python
endpoints_management/control/wsgi.py
_create_authenticator
def _create_authenticator(a_service): """Create an instance of :class:`google.auth.tokens.Authenticator`. Args: a_service (:class:`endpoints_management.gen.servicemanagement_v1_messages.Service`): a service instance """ if not isinstance(a_service, sm_messages.Service): raise ValueError(u"service is None or not an instance of Service") authentication = a_service.authentication if not authentication: _logger.info(u"authentication is not configured in service, " u"authentication checks will be disabled") return issuers_to_provider_ids = {} issuer_uri_configs = {} for provider in authentication.providers: issuer = provider.issuer jwks_uri = provider.jwksUri # Enable openID discovery if jwks_uri is unset open_id = jwks_uri is None issuer_uri_configs[issuer] = suppliers.IssuerUriConfig(open_id, jwks_uri) issuers_to_provider_ids[issuer] = provider.id key_uri_supplier = suppliers.KeyUriSupplier(issuer_uri_configs) jwks_supplier = suppliers.JwksSupplier(key_uri_supplier) authenticator = tokens.Authenticator(issuers_to_provider_ids, jwks_supplier) return authenticator
python
def _create_authenticator(a_service): """Create an instance of :class:`google.auth.tokens.Authenticator`. Args: a_service (:class:`endpoints_management.gen.servicemanagement_v1_messages.Service`): a service instance """ if not isinstance(a_service, sm_messages.Service): raise ValueError(u"service is None or not an instance of Service") authentication = a_service.authentication if not authentication: _logger.info(u"authentication is not configured in service, " u"authentication checks will be disabled") return issuers_to_provider_ids = {} issuer_uri_configs = {} for provider in authentication.providers: issuer = provider.issuer jwks_uri = provider.jwksUri # Enable openID discovery if jwks_uri is unset open_id = jwks_uri is None issuer_uri_configs[issuer] = suppliers.IssuerUriConfig(open_id, jwks_uri) issuers_to_provider_ids[issuer] = provider.id key_uri_supplier = suppliers.KeyUriSupplier(issuer_uri_configs) jwks_supplier = suppliers.JwksSupplier(key_uri_supplier) authenticator = tokens.Authenticator(issuers_to_provider_ids, jwks_supplier) return authenticator
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/wsgi.py#L658-L688
cloudendpoints/endpoints-management-python
endpoints_management/control/report_request.py
_sign_operation
def _sign_operation(op): """Obtains a signature for an operation in a ReportRequest. Args: op (:class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation used in a `ReportRequest` Returns: string: a unique signature for that operation """ md5 = hashlib.md5() md5.update(op.consumerId.encode('utf-8')) md5.update(b'\x00') md5.update(op.operationName.encode('utf-8')) if op.labels: signing.add_dict_to_hash(md5, encoding.MessageToPyValue(op.labels)) return md5.digest()
python
def _sign_operation(op): """Obtains a signature for an operation in a ReportRequest. Args: op (:class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation used in a `ReportRequest` Returns: string: a unique signature for that operation """ md5 = hashlib.md5() md5.update(op.consumerId.encode('utf-8')) md5.update(b'\x00') md5.update(op.operationName.encode('utf-8')) if op.labels: signing.add_dict_to_hash(md5, encoding.MessageToPyValue(op.labels)) return md5.digest()
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/report_request.py#L555-L571
cloudendpoints/endpoints-management-python
endpoints_management/control/report_request.py
ReportingRules.from_known_inputs
def from_known_inputs(cls, logs=None, metric_names=None, label_names=None): """An alternate constructor that assumes known metrics and labels. This differs from the default constructor in that the metrics and labels are iterables of names of 'known' metrics and labels respectively. The names are used to obtain the metrics and labels from :class:`endpoints_management.control.metric_descriptor.KnownMetrics` and :class:`endpoints_management.control.label_descriptor.KnownLabels` respectively. names that don't correspond to a known metric or label are ignored; as are metrics or labels that don't yet have a way of updating the `ReportRequest` operation. Args: logs (iterable[string]): the name of logs to be included in the `ReportRequest` metric_names (iterable[string]): the name of a known metric to be added to the `ReportRequest` label_names (iterable[string]): the name of a known label to be added to the `ReportRequest` """ if not metric_names: metric_names = () if not label_names: label_names = () known_labels = [] known_metrics = [] # pylint: disable=no-member # pylint is not aware of the __members__ attributes for l in label_descriptor.KnownLabels.__members__.values(): if l.update_label_func and l.label_name in label_names: known_labels.append(l) for m in metric_descriptor.KnownMetrics.__members__.values(): if m.update_op_func and m.metric_name in metric_names: known_metrics.append(m) return cls(logs=logs, metrics=known_metrics, labels=known_labels)
python
def from_known_inputs(cls, logs=None, metric_names=None, label_names=None): """An alternate constructor that assumes known metrics and labels. This differs from the default constructor in that the metrics and labels are iterables of names of 'known' metrics and labels respectively. The names are used to obtain the metrics and labels from :class:`endpoints_management.control.metric_descriptor.KnownMetrics` and :class:`endpoints_management.control.label_descriptor.KnownLabels` respectively. names that don't correspond to a known metric or label are ignored; as are metrics or labels that don't yet have a way of updating the `ReportRequest` operation. Args: logs (iterable[string]): the name of logs to be included in the `ReportRequest` metric_names (iterable[string]): the name of a known metric to be added to the `ReportRequest` label_names (iterable[string]): the name of a known label to be added to the `ReportRequest` """ if not metric_names: metric_names = () if not label_names: label_names = () known_labels = [] known_metrics = [] # pylint: disable=no-member # pylint is not aware of the __members__ attributes for l in label_descriptor.KnownLabels.__members__.values(): if l.update_label_func and l.label_name in label_names: known_labels.append(l) for m in metric_descriptor.KnownMetrics.__members__.values(): if m.update_op_func and m.metric_name in metric_names: known_metrics.append(m) return cls(logs=logs, metrics=known_metrics, labels=known_labels)
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An alternate constructor that assumes known metrics and labels. This differs from the default constructor in that the metrics and labels are iterables of names of 'known' metrics and labels respectively. The names are used to obtain the metrics and labels from :class:`endpoints_management.control.metric_descriptor.KnownMetrics` and :class:`endpoints_management.control.label_descriptor.KnownLabels` respectively. names that don't correspond to a known metric or label are ignored; as are metrics or labels that don't yet have a way of updating the `ReportRequest` operation. Args: logs (iterable[string]): the name of logs to be included in the `ReportRequest` metric_names (iterable[string]): the name of a known metric to be added to the `ReportRequest` label_names (iterable[string]): the name of a known label to be added to the `ReportRequest`
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/report_request.py#L76-L112
cloudendpoints/endpoints-management-python
endpoints_management/control/report_request.py
Info._as_log_entry
def _as_log_entry(self, name, now): """Makes a `LogEntry` from this instance for the given log_name. Args: rules (:class:`ReportingRules`): determines what labels, metrics and logs to include in the report request. now (:class:`datetime.DateTime`): the current time Return: a ``LogEntry`` generated from this instance with the given name and timestamp Raises: ValueError: if the fields in this instance are insufficient to to create a valid ``ServicecontrolServicesReportRequest`` """ # initialize the struct with fields that are always present d = { u'http_response_code': self.response_code, u'timestamp': time.mktime(now.timetuple()) } # compute the severity severity = _SEVERITY.INFO if self.response_code >= 400: severity = _SEVERITY.ERROR d[u'error_cause'] = self.error_cause.name # add 'optional' fields to the struct if self.request_size > 0: d[u'request_size'] = self.request_size if self.response_size > 0: d[u'response_size'] = self.response_size if self.method: d[u'http_method'] = self.method if self.request_time: d[u'request_latency_in_ms'] = self.request_time.total_seconds() * 1000 # add 'copyable' fields to the struct for key in self.COPYABLE_LOG_FIELDS: value = getattr(self, key, None) if value: d[key] = value return sc_messages.LogEntry( name=name, timestamp=timestamp.to_rfc3339(now), severity=severity, structPayload=_struct_payload_from(d))
python
def _as_log_entry(self, name, now): """Makes a `LogEntry` from this instance for the given log_name. Args: rules (:class:`ReportingRules`): determines what labels, metrics and logs to include in the report request. now (:class:`datetime.DateTime`): the current time Return: a ``LogEntry`` generated from this instance with the given name and timestamp Raises: ValueError: if the fields in this instance are insufficient to to create a valid ``ServicecontrolServicesReportRequest`` """ # initialize the struct with fields that are always present d = { u'http_response_code': self.response_code, u'timestamp': time.mktime(now.timetuple()) } # compute the severity severity = _SEVERITY.INFO if self.response_code >= 400: severity = _SEVERITY.ERROR d[u'error_cause'] = self.error_cause.name # add 'optional' fields to the struct if self.request_size > 0: d[u'request_size'] = self.request_size if self.response_size > 0: d[u'response_size'] = self.response_size if self.method: d[u'http_method'] = self.method if self.request_time: d[u'request_latency_in_ms'] = self.request_time.total_seconds() * 1000 # add 'copyable' fields to the struct for key in self.COPYABLE_LOG_FIELDS: value = getattr(self, key, None) if value: d[key] = value return sc_messages.LogEntry( name=name, timestamp=timestamp.to_rfc3339(now), severity=severity, structPayload=_struct_payload_from(d))
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/report_request.py#L293-L342
cloudendpoints/endpoints-management-python
endpoints_management/control/report_request.py
Info.as_report_request
def as_report_request(self, rules, timer=datetime.utcnow): """Makes a `ServicecontrolServicesReportRequest` from this instance Args: rules (:class:`ReportingRules`): determines what labels, metrics and logs to include in the report request. timer: a function that determines the current time Return: a ``ServicecontrolServicesReportRequest`` generated from this instance governed by the provided ``rules`` Raises: ValueError: if the fields in this instance cannot be used to create a valid ``ServicecontrolServicesReportRequest`` """ if not self.service_name: raise ValueError(u'the service name must be set') op = super(Info, self).as_operation(timer=timer) # Populate metrics and labels if they can be associated with a # method/operation if op.operationId and op.operationName: labels = {} for known_label in rules.labels: known_label.do_labels_update(self, labels) # Forcibly add system label reporting here, as the base service # config does not specify it as a label. labels[_KNOWN_LABELS.SCC_PLATFORM.label_name] = ( self.platform.friendly_string()) labels[_KNOWN_LABELS.SCC_SERVICE_AGENT.label_name] = ( SERVICE_AGENT) labels[_KNOWN_LABELS.SCC_USER_AGENT.label_name] = USER_AGENT if labels: op.labels = encoding.PyValueToMessage( sc_messages.Operation.LabelsValue, labels) for known_metric in rules.metrics: known_metric.do_operation_update(self, op) # Populate the log entries now = timer() op.logEntries = [self._as_log_entry(l, now) for l in rules.logs] return sc_messages.ServicecontrolServicesReportRequest( serviceName=self.service_name, reportRequest=sc_messages.ReportRequest(operations=[op]))
python
def as_report_request(self, rules, timer=datetime.utcnow): """Makes a `ServicecontrolServicesReportRequest` from this instance Args: rules (:class:`ReportingRules`): determines what labels, metrics and logs to include in the report request. timer: a function that determines the current time Return: a ``ServicecontrolServicesReportRequest`` generated from this instance governed by the provided ``rules`` Raises: ValueError: if the fields in this instance cannot be used to create a valid ``ServicecontrolServicesReportRequest`` """ if not self.service_name: raise ValueError(u'the service name must be set') op = super(Info, self).as_operation(timer=timer) # Populate metrics and labels if they can be associated with a # method/operation if op.operationId and op.operationName: labels = {} for known_label in rules.labels: known_label.do_labels_update(self, labels) # Forcibly add system label reporting here, as the base service # config does not specify it as a label. labels[_KNOWN_LABELS.SCC_PLATFORM.label_name] = ( self.platform.friendly_string()) labels[_KNOWN_LABELS.SCC_SERVICE_AGENT.label_name] = ( SERVICE_AGENT) labels[_KNOWN_LABELS.SCC_USER_AGENT.label_name] = USER_AGENT if labels: op.labels = encoding.PyValueToMessage( sc_messages.Operation.LabelsValue, labels) for known_metric in rules.metrics: known_metric.do_operation_update(self, op) # Populate the log entries now = timer() op.logEntries = [self._as_log_entry(l, now) for l in rules.logs] return sc_messages.ServicecontrolServicesReportRequest( serviceName=self.service_name, reportRequest=sc_messages.ReportRequest(operations=[op]))
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https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/report_request.py#L344-L393
cloudendpoints/endpoints-management-python
endpoints_management/control/report_request.py
Aggregator.flush
def flush(self): """Flushes this instance's cache. The driver of this instance should call this method every `flush_interval`. Returns: list[``ServicecontrolServicesReportRequest``]: corresponding to the pending cached operations """ if self._cache is None: return _NO_RESULTS with self._cache as c: flushed_ops = [x.as_operation() for x in c.out_deque] c.out_deque.clear() reqs = [] max_ops = self.MAX_OPERATION_COUNT for x in range(0, len(flushed_ops), max_ops): report_request = sc_messages.ReportRequest( operations=flushed_ops[x:x + max_ops]) reqs.append( sc_messages.ServicecontrolServicesReportRequest( serviceName=self.service_name, reportRequest=report_request)) return reqs
python
def flush(self): """Flushes this instance's cache. The driver of this instance should call this method every `flush_interval`. Returns: list[``ServicecontrolServicesReportRequest``]: corresponding to the pending cached operations """ if self._cache is None: return _NO_RESULTS with self._cache as c: flushed_ops = [x.as_operation() for x in c.out_deque] c.out_deque.clear() reqs = [] max_ops = self.MAX_OPERATION_COUNT for x in range(0, len(flushed_ops), max_ops): report_request = sc_messages.ReportRequest( operations=flushed_ops[x:x + max_ops]) reqs.append( sc_messages.ServicecontrolServicesReportRequest( serviceName=self.service_name, reportRequest=report_request)) return reqs
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Flushes this instance's cache. The driver of this instance should call this method every `flush_interval`. Returns: list[``ServicecontrolServicesReportRequest``]: corresponding to the pending cached operations
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https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/report_request.py#L449-L475
cloudendpoints/endpoints-management-python
endpoints_management/control/report_request.py
Aggregator.clear
def clear(self): """Clears the cache.""" if self._cache is None: return _NO_RESULTS if self._cache is not None: with self._cache as k: res = [x.as_operation() for x in k.values()] k.clear() k.out_deque.clear() return res
python
def clear(self): """Clears the cache.""" if self._cache is None: return _NO_RESULTS if self._cache is not None: with self._cache as k: res = [x.as_operation() for x in k.values()] k.clear() k.out_deque.clear() return res
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https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/report_request.py#L477-L486
cloudendpoints/endpoints-management-python
endpoints_management/control/report_request.py
Aggregator.report
def report(self, req): """Adds a report request to the cache. Returns ``None`` if it could not be aggregated, and callers need to send the request to the server, otherwise it returns ``CACHED_OK``. Args: req (:class:`sc_messages.ReportRequest`): the request to be aggregated Result: ``None`` if the request as not cached, otherwise ``CACHED_OK`` """ if self._cache is None: return None # no cache, send request now if not isinstance(req, sc_messages.ServicecontrolServicesReportRequest): raise ValueError(u'Invalid request') if req.serviceName != self.service_name: _logger.error(u'bad report(): service_name %s does not match ours %s', req.serviceName, self.service_name) raise ValueError(u'Service name mismatch') report_req = req.reportRequest if report_req is None: _logger.error(u'bad report(): no report_request in %s', req) raise ValueError(u'Expected report_request not set') if _has_high_important_operation(report_req) or self._cache is None: return None ops_by_signature = _key_by_signature(report_req.operations, _sign_operation) # Concurrency: # # This holds a lock on the cache while updating it. No i/o operations # are performed, so any waiting threads see minimal delays with self._cache as cache: for key, op in ops_by_signature.items(): agg = cache.get(key) if agg is None: cache[key] = operation.Aggregator(op, self._kinds) else: agg.add(op) return self.CACHED_OK
python
def report(self, req): """Adds a report request to the cache. Returns ``None`` if it could not be aggregated, and callers need to send the request to the server, otherwise it returns ``CACHED_OK``. Args: req (:class:`sc_messages.ReportRequest`): the request to be aggregated Result: ``None`` if the request as not cached, otherwise ``CACHED_OK`` """ if self._cache is None: return None # no cache, send request now if not isinstance(req, sc_messages.ServicecontrolServicesReportRequest): raise ValueError(u'Invalid request') if req.serviceName != self.service_name: _logger.error(u'bad report(): service_name %s does not match ours %s', req.serviceName, self.service_name) raise ValueError(u'Service name mismatch') report_req = req.reportRequest if report_req is None: _logger.error(u'bad report(): no report_request in %s', req) raise ValueError(u'Expected report_request not set') if _has_high_important_operation(report_req) or self._cache is None: return None ops_by_signature = _key_by_signature(report_req.operations, _sign_operation) # Concurrency: # # This holds a lock on the cache while updating it. No i/o operations # are performed, so any waiting threads see minimal delays with self._cache as cache: for key, op in ops_by_signature.items(): agg = cache.get(key) if agg is None: cache[key] = operation.Aggregator(op, self._kinds) else: agg.add(op) return self.CACHED_OK
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Adds a report request to the cache. Returns ``None`` if it could not be aggregated, and callers need to send the request to the server, otherwise it returns ``CACHED_OK``. Args: req (:class:`sc_messages.ReportRequest`): the request to be aggregated Result: ``None`` if the request as not cached, otherwise ``CACHED_OK``
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/report_request.py#L488-L531
cloudendpoints/endpoints-management-python
endpoints_management/control/quota_request.py
convert_response
def convert_response(allocate_quota_response, project_id): """Computes a http status code and message `AllocateQuotaResponse` The return value a tuple (code, message) where code: is the http status code message: is the message to return Args: allocate_quota_response (:class:`endpoints_management.gen.servicecontrol_v1_messages.AllocateQuotaResponse`): the response from calling an api Returns: tuple(code, message) """ if not allocate_quota_response or not allocate_quota_response.allocateErrors: return _IS_OK # only allocate_quota the first error for now, as per ESP theError = allocate_quota_response.allocateErrors[0] error_tuple = _QUOTA_ERROR_CONVERSION.get(theError.code, _IS_UNKNOWN) if error_tuple[1].find(u'{') == -1: # no replacements needed: return error_tuple updated_msg = error_tuple[1].format(project_id=project_id, detail=theError.description or u'') return error_tuple[0], updated_msg
python
def convert_response(allocate_quota_response, project_id): """Computes a http status code and message `AllocateQuotaResponse` The return value a tuple (code, message) where code: is the http status code message: is the message to return Args: allocate_quota_response (:class:`endpoints_management.gen.servicecontrol_v1_messages.AllocateQuotaResponse`): the response from calling an api Returns: tuple(code, message) """ if not allocate_quota_response or not allocate_quota_response.allocateErrors: return _IS_OK # only allocate_quota the first error for now, as per ESP theError = allocate_quota_response.allocateErrors[0] error_tuple = _QUOTA_ERROR_CONVERSION.get(theError.code, _IS_UNKNOWN) if error_tuple[1].find(u'{') == -1: # no replacements needed: return error_tuple updated_msg = error_tuple[1].format(project_id=project_id, detail=theError.description or u'') return error_tuple[0], updated_msg
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/quota_request.py#L82-L107
cloudendpoints/endpoints-management-python
endpoints_management/control/quota_request.py
sign
def sign(allocate_quota_request): """Obtains a signature for an operation in a `AllocateQuotaRequest` Args: op (:class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation used in a `AllocateQuotaRequest` Returns: string: a secure hash generated from the operation """ if not isinstance(allocate_quota_request, sc_messages.AllocateQuotaRequest): raise ValueError(u'Invalid request') op = allocate_quota_request.allocateOperation if op is None or op.methodName is None or op.consumerId is None: logging.error(u'Bad %s: not initialized => not signed', allocate_quota_request) raise ValueError(u'allocate_quota request must be initialized with an operation') md5 = hashlib.md5() md5.update(op.methodName.encode('utf-8')) md5.update(b'\x00') md5.update(op.consumerId.encode('utf-8')) if op.labels: signing.add_dict_to_hash(md5, encoding.MessageToPyValue(op.labels)) for value_set in op.quotaMetrics: md5.update(b'\x00') md5.update(value_set.metricName.encode('utf-8')) for mv in value_set.metricValues: metric_value.update_hash(md5, mv) md5.update(b'\x00') return md5.digest()
python
def sign(allocate_quota_request): """Obtains a signature for an operation in a `AllocateQuotaRequest` Args: op (:class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation used in a `AllocateQuotaRequest` Returns: string: a secure hash generated from the operation """ if not isinstance(allocate_quota_request, sc_messages.AllocateQuotaRequest): raise ValueError(u'Invalid request') op = allocate_quota_request.allocateOperation if op is None or op.methodName is None or op.consumerId is None: logging.error(u'Bad %s: not initialized => not signed', allocate_quota_request) raise ValueError(u'allocate_quota request must be initialized with an operation') md5 = hashlib.md5() md5.update(op.methodName.encode('utf-8')) md5.update(b'\x00') md5.update(op.consumerId.encode('utf-8')) if op.labels: signing.add_dict_to_hash(md5, encoding.MessageToPyValue(op.labels)) for value_set in op.quotaMetrics: md5.update(b'\x00') md5.update(value_set.metricName.encode('utf-8')) for mv in value_set.metricValues: metric_value.update_hash(md5, mv) md5.update(b'\x00') return md5.digest()
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/quota_request.py#L110-L139
cloudendpoints/endpoints-management-python
endpoints_management/control/quota_request.py
Info.as_allocate_quota_request
def as_allocate_quota_request(self, timer=datetime.utcnow): """Makes a `ServicecontrolServicesAllocateQuotaRequest` from this instance Returns: a ``ServicecontrolServicesAllocateQuotaRequest`` Raises: ValueError: if the fields in this instance are insufficient to to create a valid ``ServicecontrolServicesAllocateQuotaRequest`` """ if not self.service_name: raise ValueError(u'the service name must be set') if not self.operation_id: raise ValueError(u'the operation id must be set') if not self.operation_name: raise ValueError(u'the operation name must be set') op = super(Info, self).as_operation(timer=timer) labels = {} if self.client_ip: labels[_KNOWN_LABELS.SCC_CALLER_IP.label_name] = self.client_ip if self.referer: labels[_KNOWN_LABELS.SCC_REFERER.label_name] = self.referer qop = sc_messages.QuotaOperation( operationId=op.operationId, methodName=op.operationName, consumerId=op.consumerId, quotaMode=sc_messages.QuotaOperation.QuotaModeValueValuesEnum.BEST_EFFORT, ) qop.labels = encoding.PyValueToMessage( sc_messages.QuotaOperation.LabelsValue, labels) quota_info = self.quota_info if self.quota_info else {} qop.quotaMetrics = [ sc_messages.MetricValueSet( metricName=name, metricValues=[sc_messages.MetricValue(int64Value=cost)]) for name, cost in quota_info.items() ] allocate_quota_request = sc_messages.AllocateQuotaRequest(allocateOperation=qop) if self.config_id: allocate_quota_request.serviceConfigId = self.config_id return sc_messages.ServicecontrolServicesAllocateQuotaRequest( serviceName=self.service_name, allocateQuotaRequest=allocate_quota_request)
python
def as_allocate_quota_request(self, timer=datetime.utcnow): """Makes a `ServicecontrolServicesAllocateQuotaRequest` from this instance Returns: a ``ServicecontrolServicesAllocateQuotaRequest`` Raises: ValueError: if the fields in this instance are insufficient to to create a valid ``ServicecontrolServicesAllocateQuotaRequest`` """ if not self.service_name: raise ValueError(u'the service name must be set') if not self.operation_id: raise ValueError(u'the operation id must be set') if not self.operation_name: raise ValueError(u'the operation name must be set') op = super(Info, self).as_operation(timer=timer) labels = {} if self.client_ip: labels[_KNOWN_LABELS.SCC_CALLER_IP.label_name] = self.client_ip if self.referer: labels[_KNOWN_LABELS.SCC_REFERER.label_name] = self.referer qop = sc_messages.QuotaOperation( operationId=op.operationId, methodName=op.operationName, consumerId=op.consumerId, quotaMode=sc_messages.QuotaOperation.QuotaModeValueValuesEnum.BEST_EFFORT, ) qop.labels = encoding.PyValueToMessage( sc_messages.QuotaOperation.LabelsValue, labels) quota_info = self.quota_info if self.quota_info else {} qop.quotaMetrics = [ sc_messages.MetricValueSet( metricName=name, metricValues=[sc_messages.MetricValue(int64Value=cost)]) for name, cost in quota_info.items() ] allocate_quota_request = sc_messages.AllocateQuotaRequest(allocateOperation=qop) if self.config_id: allocate_quota_request.serviceConfigId = self.config_id return sc_messages.ServicecontrolServicesAllocateQuotaRequest( serviceName=self.service_name, allocateQuotaRequest=allocate_quota_request)
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/quota_request.py#L163-L209
cloudendpoints/endpoints-management-python
endpoints_management/control/quota_request.py
Aggregator.flush
def flush(self): """Flushes this instance's cache. The driver of this instance should call this method every `flush_interval`. Returns: list['ServicecontrolServicesAllocateQuotaRequest']: corresponding to AllocateQuotaRequests that were pending """ if self._cache is None: return [] with self._cache as c, self._out as out: c.expire() now = self._timer() for item in c.values(): if (not self._in_flush_all) and (not self._should_expire(item)): if (not item.is_in_flight) and item._op_aggregator is not None: item.is_in_flight = True item.last_refresh_timestamp = now out.append(item.extract_request()) # pylint: disable=no-member flushed_items = list(out) out.clear() # pylint: disable=no-member for req in flushed_items: assert isinstance(req, sc_messages.ServicecontrolServicesAllocateQuotaRequest) return flushed_items
python
def flush(self): """Flushes this instance's cache. The driver of this instance should call this method every `flush_interval`. Returns: list['ServicecontrolServicesAllocateQuotaRequest']: corresponding to AllocateQuotaRequests that were pending """ if self._cache is None: return [] with self._cache as c, self._out as out: c.expire() now = self._timer() for item in c.values(): if (not self._in_flush_all) and (not self._should_expire(item)): if (not item.is_in_flight) and item._op_aggregator is not None: item.is_in_flight = True item.last_refresh_timestamp = now out.append(item.extract_request()) # pylint: disable=no-member flushed_items = list(out) out.clear() # pylint: disable=no-member for req in flushed_items: assert isinstance(req, sc_messages.ServicecontrolServicesAllocateQuotaRequest) return flushed_items
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/quota_request.py#L261-L287
cloudendpoints/endpoints-management-python
endpoints_management/control/quota_request.py
Aggregator.clear
def clear(self): """Clears this instance's cache.""" if self._cache is not None: with self._cache as c, self._out as out: self.in_flush_all = True c.clear() out.clear() # pylint: disable=no-member self.in_flush_all = False
python
def clear(self): """Clears this instance's cache.""" if self._cache is not None: with self._cache as c, self._out as out: self.in_flush_all = True c.clear() out.clear() # pylint: disable=no-member self.in_flush_all = False
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train
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cloudendpoints/endpoints-management-python
endpoints_management/control/quota_request.py
Aggregator.add_response
def add_response(self, req, resp): """Adds the response from sending to `req` to this instance's cache. Args: req (`ServicecontrolServicesAllocateQuotaRequest`): the request resp (AllocateQuotaResponse): the response from sending the request """ if self._cache is None: return signature = sign(req.allocateQuotaRequest) with self._cache as c: now = self._timer() item = c.get(signature) if item is None: c[signature] = CachedItem( req, resp, self.service_name, now) else: # Update the cached item to reflect that it is updated item.last_check_time = now item.response = resp item.is_in_flight = False c[signature] = item
python
def add_response(self, req, resp): """Adds the response from sending to `req` to this instance's cache. Args: req (`ServicecontrolServicesAllocateQuotaRequest`): the request resp (AllocateQuotaResponse): the response from sending the request """ if self._cache is None: return signature = sign(req.allocateQuotaRequest) with self._cache as c: now = self._timer() item = c.get(signature) if item is None: c[signature] = CachedItem( req, resp, self.service_name, now) else: # Update the cached item to reflect that it is updated item.last_check_time = now item.response = resp item.is_in_flight = False c[signature] = item
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train
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yunstanford/sanic-transmute
sanic_transmute/route.py
add_route
def add_route(app_or_blueprint, fn, context=default_context): """ a decorator that adds a transmute route to the application """ transmute_func = TransmuteFunction( fn, args_not_from_request=["request"] ) handler = create_handler(transmute_func, context=context) get_swagger_spec(app_or_blueprint).add_func(transmute_func, context) for p in transmute_func.paths: sanic_path = _convert_to_sanic_path(p) app_or_blueprint.add_route(handler, sanic_path, methods=list(transmute_func.methods))
python
def add_route(app_or_blueprint, fn, context=default_context): """ a decorator that adds a transmute route to the application """ transmute_func = TransmuteFunction( fn, args_not_from_request=["request"] ) handler = create_handler(transmute_func, context=context) get_swagger_spec(app_or_blueprint).add_func(transmute_func, context) for p in transmute_func.paths: sanic_path = _convert_to_sanic_path(p) app_or_blueprint.add_route(handler, sanic_path, methods=list(transmute_func.methods))
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train
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cloudendpoints/endpoints-management-python
endpoints_management/control/metric_descriptor.py
KnownMetrics.matches
def matches(self, desc): """Determines if a given metric descriptor matches this enum instance Args: desc (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricDescriptor`): the instance to test Return: `True` if desc is supported, otherwise `False` """ return (self.metric_name == desc.name and self.kind == desc.metricKind and self.value_type == desc.valueType)
python
def matches(self, desc): """Determines if a given metric descriptor matches this enum instance Args: desc (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricDescriptor`): the instance to test Return: `True` if desc is supported, otherwise `False` """ return (self.metric_name == desc.name and self.kind == desc.metricKind and self.value_type == desc.valueType)
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train
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cloudendpoints/endpoints-management-python
endpoints_management/control/metric_descriptor.py
KnownMetrics.do_operation_update
def do_operation_update(self, info, an_op): """Updates an operation using the assigned update_op_func Args: info: (:class:`endpoints_management.control.report_request.Info`): the info instance to update an_op: (:class:`endpoints_management.control.report_request.Info`): the info instance to update Return: `True` if desc is supported, otherwise `False` """ self.update_op_func(self.metric_name, info, an_op)
python
def do_operation_update(self, info, an_op): """Updates an operation using the assigned update_op_func Args: info: (:class:`endpoints_management.control.report_request.Info`): the info instance to update an_op: (:class:`endpoints_management.control.report_request.Info`): the info instance to update Return: `True` if desc is supported, otherwise `False` """ self.update_op_func(self.metric_name, info, an_op)
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/metric_descriptor.py#L291-L304
cloudendpoints/endpoints-management-python
endpoints_management/control/metric_descriptor.py
KnownMetrics.is_supported
def is_supported(cls, desc): """Determines if the given metric descriptor is supported. Args: desc (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricDescriptor`): the metric descriptor to test Return: `True` if desc is supported, otherwise `False` """ for m in cls: if m.matches(desc): return True return False
python
def is_supported(cls, desc): """Determines if the given metric descriptor is supported. Args: desc (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricDescriptor`): the metric descriptor to test Return: `True` if desc is supported, otherwise `False` """ for m in cls: if m.matches(desc): return True return False
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train
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cloudendpoints/endpoints-management-python
endpoints_management/control/signing.py
add_dict_to_hash
def add_dict_to_hash(a_hash, a_dict): """Adds `a_dict` to `a_hash` Args: a_hash (`Hash`): the secure hash, e.g created by hashlib.md5 a_dict (dict[string, [string]]): the dictionary to add to the hash """ if a_dict is None: return for k, v in a_dict.items(): a_hash.update(b'\x00' + k.encode('utf-8') + b'\x00' + v.encode('utf-8'))
python
def add_dict_to_hash(a_hash, a_dict): """Adds `a_dict` to `a_hash` Args: a_hash (`Hash`): the secure hash, e.g created by hashlib.md5 a_dict (dict[string, [string]]): the dictionary to add to the hash """ if a_dict is None: return for k, v in a_dict.items(): a_hash.update(b'\x00' + k.encode('utf-8') + b'\x00' + v.encode('utf-8'))
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train
https://github.com/cloudendpoints/endpoints-management-python/blob/ec3c4a330ae9d65738861ce6df4dd6c3cb9f7731/endpoints_management/control/signing.py#L20-L31
yunstanford/sanic-transmute
sanic_transmute/swagger.py
add_swagger
def add_swagger(app, json_route, html_route): """ a convenience method for both adding a swagger.json route, as well as adding a page showing the html documentation """ app.add_route(create_swagger_json_handler(app), json_route, methods=["GET"]) add_swagger_api_route(app, html_route, json_route)
python
def add_swagger(app, json_route, html_route): """ a convenience method for both adding a swagger.json route, as well as adding a page showing the html documentation """ app.add_route(create_swagger_json_handler(app), json_route, methods=["GET"]) add_swagger_api_route(app, html_route, json_route)
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train
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yunstanford/sanic-transmute
sanic_transmute/swagger.py
add_swagger_api_route
def add_swagger_api_route(app, target_route, swagger_json_route): """ mount a swagger statics page. app: the sanic app object target_route: the path to mount the statics page. swagger_json_route: the path where the swagger json definitions is expected to be. """ static_root = get_swagger_static_root() swagger_body = generate_swagger_html( STATIC_ROOT, swagger_json_route ).encode("utf-8") async def swagger_ui(request): return HTTPResponse(body_bytes=swagger_body, content_type="text/html") bp = Blueprint('swagger') bp.static(STATIC_ROOT, static_root) app.add_route(swagger_ui, target_route, methods=["GET"]) app.blueprint(bp)
python
def add_swagger_api_route(app, target_route, swagger_json_route): """ mount a swagger statics page. app: the sanic app object target_route: the path to mount the statics page. swagger_json_route: the path where the swagger json definitions is expected to be. """ static_root = get_swagger_static_root() swagger_body = generate_swagger_html( STATIC_ROOT, swagger_json_route ).encode("utf-8") async def swagger_ui(request): return HTTPResponse(body_bytes=swagger_body, content_type="text/html") bp = Blueprint('swagger') bp.static(STATIC_ROOT, static_root) app.add_route(swagger_ui, target_route, methods=["GET"]) app.blueprint(bp)
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https://github.com/yunstanford/sanic-transmute/blob/5040819d0bd6024e257603f69d12984a3b112cf0/sanic_transmute/swagger.py#L30-L50
yunstanford/sanic-transmute
sanic_transmute/swagger.py
create_swagger_json_handler
def create_swagger_json_handler(app, **kwargs): """ Create a handler that returns the swagger definition for an application. This method assumes the application is using the TransmuteUrlDispatcher as the router. """ spec = get_swagger_spec(app) _add_blueprint_specs(app, spec) spec_dict = spec.swagger_definition(**kwargs) encoded_spec = json.dumps(spec_dict).encode("UTF-8") async def swagger(request): return HTTPResponse( body_bytes=encoded_spec, headers={ "Access-Control-Allow-Origin": "*" }, content_type="application/json", ) return swagger
python
def create_swagger_json_handler(app, **kwargs): """ Create a handler that returns the swagger definition for an application. This method assumes the application is using the TransmuteUrlDispatcher as the router. """ spec = get_swagger_spec(app) _add_blueprint_specs(app, spec) spec_dict = spec.swagger_definition(**kwargs) encoded_spec = json.dumps(spec_dict).encode("UTF-8") async def swagger(request): return HTTPResponse( body_bytes=encoded_spec, headers={ "Access-Control-Allow-Origin": "*" }, content_type="application/json", ) return swagger
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Create a handler that returns the swagger definition for an application. This method assumes the application is using the TransmuteUrlDispatcher as the router.
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train
https://github.com/yunstanford/sanic-transmute/blob/5040819d0bd6024e257603f69d12984a3b112cf0/sanic_transmute/swagger.py#L53-L75
onysos/django-composite-foreignkey
compositefk/fields.py
CompositeForeignKey.compute_to_fields
def compute_to_fields(self, to_fields): """ compute the to_fields parameterse to make it uniformly a dict of CompositePart :param set[unicode]|dict[unicode, unicode] to_fields: the list/dict of fields to match :return: the well formated to_field containing only subclasses of CompositePart :rtype: dict[str, CompositePart] """ # for problem in trim_join, we must try to give the fields in a consistent order with others models... # see #26515 at https://code.djangoproject.com/ticket/26515 return OrderedDict( (k, (v if isinstance(v, CompositePart) else LocalFieldValue(v))) for k, v in (to_fields.items() if isinstance(to_fields, dict) else zip(to_fields, to_fields)) )
python
def compute_to_fields(self, to_fields): """ compute the to_fields parameterse to make it uniformly a dict of CompositePart :param set[unicode]|dict[unicode, unicode] to_fields: the list/dict of fields to match :return: the well formated to_field containing only subclasses of CompositePart :rtype: dict[str, CompositePart] """ # for problem in trim_join, we must try to give the fields in a consistent order with others models... # see #26515 at https://code.djangoproject.com/ticket/26515 return OrderedDict( (k, (v if isinstance(v, CompositePart) else LocalFieldValue(v))) for k, v in (to_fields.items() if isinstance(to_fields, dict) else zip(to_fields, to_fields)) )
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compute the to_fields parameterse to make it uniformly a dict of CompositePart :param set[unicode]|dict[unicode, unicode] to_fields: the list/dict of fields to match :return: the well formated to_field containing only subclasses of CompositePart :rtype: dict[str, CompositePart]
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https://github.com/onysos/django-composite-foreignkey/blob/11e9370e32b3e5ec3fca7b1486b0fa52da0a54c1/compositefk/fields.py#L214-L227
onysos/django-composite-foreignkey
compositefk/fields.py
RawFieldValue.get_lookup
def get_lookup(self, main_field, for_remote, alias): """ create a fake field for the lookup capability :param CompositeForeignKey main_field: the local fk :param Field for_remote: the remote field to match :return: """ lookup_class = for_remote.get_lookup("exact") return lookup_class(for_remote.get_col(alias), self.value)
python
def get_lookup(self, main_field, for_remote, alias): """ create a fake field for the lookup capability :param CompositeForeignKey main_field: the local fk :param Field for_remote: the remote field to match :return: """ lookup_class = for_remote.get_lookup("exact") return lookup_class(for_remote.get_col(alias), self.value)
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https://github.com/onysos/django-composite-foreignkey/blob/11e9370e32b3e5ec3fca7b1486b0fa52da0a54c1/compositefk/fields.py#L321-L329
guyhughes/fqdn
fqdn/__init__.py
FQDN.is_valid
def is_valid(self): """ True for a validated fully-qualified domain nam (FQDN), in full compliance with RFC 1035, and the "preferred form" specified in RFC 3686 s. 2, whether relative or absolute. https://tools.ietf.org/html/rfc3696#section-2 https://tools.ietf.org/html/rfc1035 If and only if the FQDN ends with a dot (in place of the RFC1035 trailing null byte), it may have a total length of 254 bytes, still it must be less than 253 bytes. """ length = len(self.fqdn) if self.fqdn.endswith('.'): length -= 1 if length > 253: return False return bool(self.FQDN_REGEX.match(self.fqdn))
python
def is_valid(self): """ True for a validated fully-qualified domain nam (FQDN), in full compliance with RFC 1035, and the "preferred form" specified in RFC 3686 s. 2, whether relative or absolute. https://tools.ietf.org/html/rfc3696#section-2 https://tools.ietf.org/html/rfc1035 If and only if the FQDN ends with a dot (in place of the RFC1035 trailing null byte), it may have a total length of 254 bytes, still it must be less than 253 bytes. """ length = len(self.fqdn) if self.fqdn.endswith('.'): length -= 1 if length > 253: return False return bool(self.FQDN_REGEX.match(self.fqdn))
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True for a validated fully-qualified domain nam (FQDN), in full compliance with RFC 1035, and the "preferred form" specified in RFC 3686 s. 2, whether relative or absolute. https://tools.ietf.org/html/rfc3696#section-2 https://tools.ietf.org/html/rfc1035 If and only if the FQDN ends with a dot (in place of the RFC1035 trailing null byte), it may have a total length of 254 bytes, still it must be less than 253 bytes.
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https://github.com/guyhughes/fqdn/blob/1ad687d6cd1d74c5781f673194a744ff105e345c/fqdn/__init__.py#L42-L60
guyhughes/fqdn
fqdn/__init__.py
FQDN.absolute
def absolute(self): """ The FQDN as a string in absolute form """ if not self.is_valid: raise ValueError('invalid FQDN `{0}`'.format(self.fqdn)) if self.is_valid_absolute: return self.fqdn return '{0}.'.format(self.fqdn)
python
def absolute(self): """ The FQDN as a string in absolute form """ if not self.is_valid: raise ValueError('invalid FQDN `{0}`'.format(self.fqdn)) if self.is_valid_absolute: return self.fqdn return '{0}.'.format(self.fqdn)
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https://github.com/guyhughes/fqdn/blob/1ad687d6cd1d74c5781f673194a744ff105e345c/fqdn/__init__.py#L82-L92
guyhughes/fqdn
fqdn/__init__.py
FQDN.relative
def relative(self): """ The FQDN as a string in relative form """ if not self.is_valid: raise ValueError('invalid FQDN `{0}`'.format(self.fqdn)) if self.is_valid_absolute: return self.fqdn[:-1] return self.fqdn
python
def relative(self): """ The FQDN as a string in relative form """ if not self.is_valid: raise ValueError('invalid FQDN `{0}`'.format(self.fqdn)) if self.is_valid_absolute: return self.fqdn[:-1] return self.fqdn
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https://github.com/guyhughes/fqdn/blob/1ad687d6cd1d74c5781f673194a744ff105e345c/fqdn/__init__.py#L95-L105
marcelm/xopen
src/xopen/__init__.py
_available_cpu_count
def _available_cpu_count(): """ Number of available virtual or physical CPUs on this system Adapted from http://stackoverflow.com/a/1006301/715090 """ try: return len(os.sched_getaffinity(0)) except AttributeError: pass import re try: with open('/proc/self/status') as f: status = f.read() m = re.search(r'(?m)^Cpus_allowed:\s*(.*)$', status) if m: res = bin(int(m.group(1).replace(',', ''), 16)).count('1') if res > 0: return res except IOError: pass try: import multiprocessing return multiprocessing.cpu_count() except (ImportError, NotImplementedError): return 1
python
def _available_cpu_count(): """ Number of available virtual or physical CPUs on this system Adapted from http://stackoverflow.com/a/1006301/715090 """ try: return len(os.sched_getaffinity(0)) except AttributeError: pass import re try: with open('/proc/self/status') as f: status = f.read() m = re.search(r'(?m)^Cpus_allowed:\s*(.*)$', status) if m: res = bin(int(m.group(1).replace(',', ''), 16)).count('1') if res > 0: return res except IOError: pass try: import multiprocessing return multiprocessing.cpu_count() except (ImportError, NotImplementedError): return 1
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https://github.com/marcelm/xopen/blob/891ca71fb9b8b2b599de74caa4ed92206e5719f2/src/xopen/__init__.py#L52-L76
marcelm/xopen
src/xopen/__init__.py
xopen
def xopen(filename, mode='r', compresslevel=6, threads=None): """ A replacement for the "open" function that can also open files that have been compressed with gzip, bzip2 or xz. If the filename is '-', standard output (mode 'w') or input (mode 'r') is returned. The file type is determined based on the filename: .gz is gzip, .bz2 is bzip2 and .xz is xz/lzma. When writing a gzip-compressed file, the following methods are tried in order to get the best speed 1) using a pigz (parallel gzip) subprocess; 2) using a gzip subprocess; 3) gzip.open. A single gzip subprocess can be faster than gzip.open because it runs in a separate process. Uncompressed files are opened with the regular open(). mode can be: 'rt', 'rb', 'at', 'ab', 'wt', or 'wb'. Also, the 't' can be omitted, so instead of 'rt', 'wt' and 'at', the abbreviations 'r', 'w' and 'a' can be used. In Python 2, the 't' and 'b' characters are ignored. Append mode ('a', 'at', 'ab') is unavailable with BZ2 compression and will raise an error. compresslevel is the gzip compression level. It is not used for bz2 and xz. threads is the number of threads for pigz. If None, then the pigz default is used. """ if mode in ('r', 'w', 'a'): mode += 't' if mode not in ('rt', 'rb', 'wt', 'wb', 'at', 'ab'): raise ValueError("mode '{0}' not supported".format(mode)) if not _PY3: mode = mode[0] filename = fspath(filename) if not isinstance(filename, basestring): raise ValueError("the filename must be a string") if compresslevel not in range(1, 10): raise ValueError("compresslevel must be between 1 and 9") if filename == '-': return _open_stdin_or_out(mode) elif filename.endswith('.bz2'): return _open_bz2(filename, mode) elif filename.endswith('.xz'): return _open_xz(filename, mode) elif filename.endswith('.gz'): return _open_gz(filename, mode, compresslevel, threads) else: # Python 2.6 and 2.7 have io.open, which we could use to make the returned # object consistent with the one returned in Python 3, but reading a file # with io.open() is 100 times slower (!) on Python 2.6, and still about # three times slower on Python 2.7 (tested with "for _ in io.open(path): pass") return open(filename, mode)
python
def xopen(filename, mode='r', compresslevel=6, threads=None): """ A replacement for the "open" function that can also open files that have been compressed with gzip, bzip2 or xz. If the filename is '-', standard output (mode 'w') or input (mode 'r') is returned. The file type is determined based on the filename: .gz is gzip, .bz2 is bzip2 and .xz is xz/lzma. When writing a gzip-compressed file, the following methods are tried in order to get the best speed 1) using a pigz (parallel gzip) subprocess; 2) using a gzip subprocess; 3) gzip.open. A single gzip subprocess can be faster than gzip.open because it runs in a separate process. Uncompressed files are opened with the regular open(). mode can be: 'rt', 'rb', 'at', 'ab', 'wt', or 'wb'. Also, the 't' can be omitted, so instead of 'rt', 'wt' and 'at', the abbreviations 'r', 'w' and 'a' can be used. In Python 2, the 't' and 'b' characters are ignored. Append mode ('a', 'at', 'ab') is unavailable with BZ2 compression and will raise an error. compresslevel is the gzip compression level. It is not used for bz2 and xz. threads is the number of threads for pigz. If None, then the pigz default is used. """ if mode in ('r', 'w', 'a'): mode += 't' if mode not in ('rt', 'rb', 'wt', 'wb', 'at', 'ab'): raise ValueError("mode '{0}' not supported".format(mode)) if not _PY3: mode = mode[0] filename = fspath(filename) if not isinstance(filename, basestring): raise ValueError("the filename must be a string") if compresslevel not in range(1, 10): raise ValueError("compresslevel must be between 1 and 9") if filename == '-': return _open_stdin_or_out(mode) elif filename.endswith('.bz2'): return _open_bz2(filename, mode) elif filename.endswith('.xz'): return _open_xz(filename, mode) elif filename.endswith('.gz'): return _open_gz(filename, mode, compresslevel, threads) else: # Python 2.6 and 2.7 have io.open, which we could use to make the returned # object consistent with the one returned in Python 3, but reading a file # with io.open() is 100 times slower (!) on Python 2.6, and still about # three times slower on Python 2.7 (tested with "for _ in io.open(path): pass") return open(filename, mode)
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https://github.com/marcelm/xopen/blob/891ca71fb9b8b2b599de74caa4ed92206e5719f2/src/xopen/__init__.py#L290-L343
marcelm/xopen
src/xopen/__init__.py
PipedGzipReader._raise_if_error
def _raise_if_error(self): """ Raise IOError if process is not running anymore and the exit code is nonzero. """ retcode = self.process.poll() if retcode is not None and retcode != 0: message = self._stderr.read().strip() raise IOError(message)
python
def _raise_if_error(self): """ Raise IOError if process is not running anymore and the exit code is nonzero. """ retcode = self.process.poll() if retcode is not None and retcode != 0: message = self._stderr.read().strip() raise IOError(message)
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Raise IOError if process is not running anymore and the exit code is nonzero.
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roycoding/slots
slots/slots.py
MAB.run
def run(self, trials=100, strategy=None, parameters=None): ''' Run MAB test with T trials. Parameters ---------- trials : int Number of trials to run. strategy : str Name of selected strategy. parameters : dict Parameters for selected strategy. Available strategies: - Epsilon-greedy ("eps_greedy") - Softmax ("softmax") - Upper confidence bound ("ucb") Returns ------- None ''' if trials < 1: raise Exception('MAB.run: Number of trials cannot be less than 1!') if not strategy: strategy = 'eps_greedy' else: if strategy not in self.strategies: raise Exception('MAB,run: Strategy name invalid. Choose from:' ' {}'.format(', '.join(self.strategies))) # Run strategy for n in range(trials): self._run(strategy, parameters)
python
def run(self, trials=100, strategy=None, parameters=None): ''' Run MAB test with T trials. Parameters ---------- trials : int Number of trials to run. strategy : str Name of selected strategy. parameters : dict Parameters for selected strategy. Available strategies: - Epsilon-greedy ("eps_greedy") - Softmax ("softmax") - Upper confidence bound ("ucb") Returns ------- None ''' if trials < 1: raise Exception('MAB.run: Number of trials cannot be less than 1!') if not strategy: strategy = 'eps_greedy' else: if strategy not in self.strategies: raise Exception('MAB,run: Strategy name invalid. Choose from:' ' {}'.format(', '.join(self.strategies))) # Run strategy for n in range(trials): self._run(strategy, parameters)
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https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L85-L119
roycoding/slots
slots/slots.py
MAB._run
def _run(self, strategy, parameters=None): ''' Run single trial of MAB strategy. Parameters ---------- strategy : function parameters : dict Returns ------- None ''' choice = self.run_strategy(strategy, parameters) self.choices.append(choice) payout = self.bandits.pull(choice) if payout is None: print('Trials exhausted. No more values for bandit', choice) return None else: self.wins[choice] += payout self.pulls[choice] += 1
python
def _run(self, strategy, parameters=None): ''' Run single trial of MAB strategy. Parameters ---------- strategy : function parameters : dict Returns ------- None ''' choice = self.run_strategy(strategy, parameters) self.choices.append(choice) payout = self.bandits.pull(choice) if payout is None: print('Trials exhausted. No more values for bandit', choice) return None else: self.wins[choice] += payout self.pulls[choice] += 1
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L121-L143
roycoding/slots
slots/slots.py
MAB.bayesian
def bayesian(self, params=None): ''' Run the Bayesian Bandit algorithm which utilizes a beta distribution for exploration and exploitation. Parameters ---------- params : None For API consistency, this function can take a parameters argument, but it is ignored. Returns ------- int Index of chosen bandit ''' p_success_arms = [ np.random.beta(self.wins[i] + 1, self.pulls[i] - self.wins[i] + 1) for i in range(len(self.wins)) ] return np.array(p_success_arms).argmax()
python
def bayesian(self, params=None): ''' Run the Bayesian Bandit algorithm which utilizes a beta distribution for exploration and exploitation. Parameters ---------- params : None For API consistency, this function can take a parameters argument, but it is ignored. Returns ------- int Index of chosen bandit ''' p_success_arms = [ np.random.beta(self.wins[i] + 1, self.pulls[i] - self.wins[i] + 1) for i in range(len(self.wins)) ] return np.array(p_success_arms).argmax()
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Run the Bayesian Bandit algorithm which utilizes a beta distribution for exploration and exploitation. Parameters ---------- params : None For API consistency, this function can take a parameters argument, but it is ignored. Returns ------- int Index of chosen bandit
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L177-L198
roycoding/slots
slots/slots.py
MAB.eps_greedy
def eps_greedy(self, params): ''' Run the epsilon-greedy strategy and update self.max_mean() Parameters ---------- Params : dict Epsilon Returns ------- int Index of chosen bandit ''' if params and type(params) == dict: eps = params.get('epsilon') else: eps = 0.1 r = np.random.rand() if r < eps: return np.random.choice(list(set(range(len(self.wins))) - {self.max_mean()})) else: return self.max_mean()
python
def eps_greedy(self, params): ''' Run the epsilon-greedy strategy and update self.max_mean() Parameters ---------- Params : dict Epsilon Returns ------- int Index of chosen bandit ''' if params and type(params) == dict: eps = params.get('epsilon') else: eps = 0.1 r = np.random.rand() if r < eps: return np.random.choice(list(set(range(len(self.wins))) - {self.max_mean()})) else: return self.max_mean()
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Run the epsilon-greedy strategy and update self.max_mean() Parameters ---------- Params : dict Epsilon Returns ------- int Index of chosen bandit
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L200-L226
roycoding/slots
slots/slots.py
MAB.softmax
def softmax(self, params): ''' Run the softmax selection strategy. Parameters ---------- Params : dict Tau Returns ------- int Index of chosen bandit ''' default_tau = 0.1 if params and type(params) == dict: tau = params.get('tau') try: float(tau) except ValueError: 'slots: softmax: Setting tau to default' tau = default_tau else: tau = default_tau # Handle cold start. Not all bandits tested yet. if True in (self.pulls < 3): return np.random.choice(range(len(self.pulls))) else: payouts = self.wins / (self.pulls + 0.1) norm = sum(np.exp(payouts/tau)) ps = np.exp(payouts/tau)/norm # Randomly choose index based on CMF cmf = [sum(ps[:i+1]) for i in range(len(ps))] rand = np.random.rand() found = False found_i = None i = 0 while not found: if rand < cmf[i]: found_i = i found = True else: i += 1 return found_i
python
def softmax(self, params): ''' Run the softmax selection strategy. Parameters ---------- Params : dict Tau Returns ------- int Index of chosen bandit ''' default_tau = 0.1 if params and type(params) == dict: tau = params.get('tau') try: float(tau) except ValueError: 'slots: softmax: Setting tau to default' tau = default_tau else: tau = default_tau # Handle cold start. Not all bandits tested yet. if True in (self.pulls < 3): return np.random.choice(range(len(self.pulls))) else: payouts = self.wins / (self.pulls + 0.1) norm = sum(np.exp(payouts/tau)) ps = np.exp(payouts/tau)/norm # Randomly choose index based on CMF cmf = [sum(ps[:i+1]) for i in range(len(ps))] rand = np.random.rand() found = False found_i = None i = 0 while not found: if rand < cmf[i]: found_i = i found = True else: i += 1 return found_i
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Run the softmax selection strategy. Parameters ---------- Params : dict Tau Returns ------- int Index of chosen bandit
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L228-L279
roycoding/slots
slots/slots.py
MAB.ucb
def ucb(self, params=None): ''' Run the upper confidence bound MAB selection strategy. This is the UCB1 algorithm described in https://homes.di.unimi.it/~cesabian/Pubblicazioni/ml-02.pdf Parameters ---------- params : None For API consistency, this function can take a parameters argument, but it is ignored. Returns ------- int Index of chosen bandit ''' # UCB = j_max(payout_j + sqrt(2ln(n_tot)/n_j)) # Handle cold start. Not all bandits tested yet. if True in (self.pulls < 3): return np.random.choice(range(len(self.pulls))) else: n_tot = sum(self.pulls) payouts = self.wins / (self.pulls + 0.1) ubcs = payouts + np.sqrt(2*np.log(n_tot)/self.pulls) return np.argmax(ubcs)
python
def ucb(self, params=None): ''' Run the upper confidence bound MAB selection strategy. This is the UCB1 algorithm described in https://homes.di.unimi.it/~cesabian/Pubblicazioni/ml-02.pdf Parameters ---------- params : None For API consistency, this function can take a parameters argument, but it is ignored. Returns ------- int Index of chosen bandit ''' # UCB = j_max(payout_j + sqrt(2ln(n_tot)/n_j)) # Handle cold start. Not all bandits tested yet. if True in (self.pulls < 3): return np.random.choice(range(len(self.pulls))) else: n_tot = sum(self.pulls) payouts = self.wins / (self.pulls + 0.1) ubcs = payouts + np.sqrt(2*np.log(n_tot)/self.pulls) return np.argmax(ubcs)
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L281-L310
roycoding/slots
slots/slots.py
MAB.best
def best(self): ''' Return current 'best' choice of bandit. Returns ------- int Index of bandit ''' if len(self.choices) < 1: print('slots: No trials run so far.') return None else: return np.argmax(self.wins/(self.pulls+0.1))
python
def best(self): ''' Return current 'best' choice of bandit. Returns ------- int Index of bandit ''' if len(self.choices) < 1: print('slots: No trials run so far.') return None else: return np.argmax(self.wins/(self.pulls+0.1))
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Return current 'best' choice of bandit. Returns ------- int Index of bandit
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L314-L328
roycoding/slots
slots/slots.py
MAB.est_payouts
def est_payouts(self): ''' Calculate current estimate of average payout for each bandit. Returns ------- array of floats or None ''' if len(self.choices) < 1: print('slots: No trials run so far.') return None else: return self.wins/(self.pulls+0.1)
python
def est_payouts(self): ''' Calculate current estimate of average payout for each bandit. Returns ------- array of floats or None ''' if len(self.choices) < 1: print('slots: No trials run so far.') return None else: return self.wins/(self.pulls+0.1)
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Calculate current estimate of average payout for each bandit. Returns ------- array of floats or None
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L330-L343
roycoding/slots
slots/slots.py
MAB.regret
def regret(self): ''' Calculate expected regret, where expected regret is maximum optimal reward - sum of collected rewards, i.e. expected regret = T*max_k(mean_k) - sum_(t=1-->T) (reward_t) Returns ------- float ''' return (sum(self.pulls)*np.max(np.nan_to_num(self.wins/self.pulls)) - sum(self.wins)) / sum(self.pulls)
python
def regret(self): ''' Calculate expected regret, where expected regret is maximum optimal reward - sum of collected rewards, i.e. expected regret = T*max_k(mean_k) - sum_(t=1-->T) (reward_t) Returns ------- float ''' return (sum(self.pulls)*np.max(np.nan_to_num(self.wins/self.pulls)) - sum(self.wins)) / sum(self.pulls)
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Calculate expected regret, where expected regret is maximum optimal reward - sum of collected rewards, i.e. expected regret = T*max_k(mean_k) - sum_(t=1-->T) (reward_t) Returns ------- float
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L345-L358
roycoding/slots
slots/slots.py
MAB.crit_met
def crit_met(self): ''' Determine if stopping criterion has been met. Returns ------- bool ''' if True in (self.pulls < 3): return False else: return self.criteria[self.criterion](self.stop_value)
python
def crit_met(self): ''' Determine if stopping criterion has been met. Returns ------- bool ''' if True in (self.pulls < 3): return False else: return self.criteria[self.criterion](self.stop_value)
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Determine if stopping criterion has been met. Returns ------- bool
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L360-L372
roycoding/slots
slots/slots.py
MAB.regret_met
def regret_met(self, threshold=None): ''' Determine if regret criterion has been met. Parameters ---------- threshold : float Returns ------- bool ''' if not threshold: return self.regret() <= self.stop_value elif self.regret() <= threshold: return True else: return False
python
def regret_met(self, threshold=None): ''' Determine if regret criterion has been met. Parameters ---------- threshold : float Returns ------- bool ''' if not threshold: return self.regret() <= self.stop_value elif self.regret() <= threshold: return True else: return False
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Determine if regret criterion has been met. Parameters ---------- threshold : float Returns ------- bool
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L374-L392
roycoding/slots
slots/slots.py
MAB.online_trial
def online_trial(self, bandit=None, payout=None, strategy='eps_greedy', parameters=None): ''' Update the bandits with the results of the previous live, online trial. Next run a the selection algorithm. If the stopping criteria is met, return the best arm estimate. Otherwise return the next arm to try. Parameters ---------- bandit : int Bandit index payout : float Payout value strategy : string Name of update strategy parameters : dict Parameters for update strategy function Returns ------- dict Format: {'new_trial': boolean, 'choice': int, 'best': int} ''' if bandit is not None and payout is not None: self.update(bandit=bandit, payout=payout) else: raise Exception('slots.online_trial: bandit and/or payout value' ' missing.') if self.crit_met(): return {'new_trial': False, 'choice': self.best(), 'best': self.best()} else: return {'new_trial': True, 'choice': self.run_strategy(strategy, parameters), 'best': self.best()}
python
def online_trial(self, bandit=None, payout=None, strategy='eps_greedy', parameters=None): ''' Update the bandits with the results of the previous live, online trial. Next run a the selection algorithm. If the stopping criteria is met, return the best arm estimate. Otherwise return the next arm to try. Parameters ---------- bandit : int Bandit index payout : float Payout value strategy : string Name of update strategy parameters : dict Parameters for update strategy function Returns ------- dict Format: {'new_trial': boolean, 'choice': int, 'best': int} ''' if bandit is not None and payout is not None: self.update(bandit=bandit, payout=payout) else: raise Exception('slots.online_trial: bandit and/or payout value' ' missing.') if self.crit_met(): return {'new_trial': False, 'choice': self.best(), 'best': self.best()} else: return {'new_trial': True, 'choice': self.run_strategy(strategy, parameters), 'best': self.best()}
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L395-L432
roycoding/slots
slots/slots.py
MAB.update
def update(self, bandit, payout): ''' Update bandit trials and payouts for given bandit. Parameters ---------- bandit : int Bandit index payout : float Returns ------- None ''' self.choices.append(bandit) self.pulls[bandit] += 1 self.wins[bandit] += payout self.bandits.payouts[bandit] += payout
python
def update(self, bandit, payout): ''' Update bandit trials and payouts for given bandit. Parameters ---------- bandit : int Bandit index payout : float Returns ------- None ''' self.choices.append(bandit) self.pulls[bandit] += 1 self.wins[bandit] += payout self.bandits.payouts[bandit] += payout
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L434-L452
roycoding/slots
slots/slots.py
Bandits.pull
def pull(self, i): ''' Return the payout from a single pull of the bandit i's arm. Parameters ---------- i : int Index of bandit. Returns ------- float or None ''' if self.live: if len(self.payouts[i]) > 0: return self.payouts[i].pop() else: return None else: if np.random.rand() < self.probs[i]: return self.payouts[i] else: return 0.0
python
def pull(self, i): ''' Return the payout from a single pull of the bandit i's arm. Parameters ---------- i : int Index of bandit. Returns ------- float or None ''' if self.live: if len(self.payouts[i]) > 0: return self.payouts[i].pop() else: return None else: if np.random.rand() < self.probs[i]: return self.payouts[i] else: return 0.0
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train
https://github.com/roycoding/slots/blob/1ed9b203fa02002c09b9dad73e2a97c04a45ef20/slots/slots.py#L489-L512
reanahub/reana-commons
reana_commons/utils.py
click_table_printer
def click_table_printer(headers, _filter, data): """Generate space separated output for click commands.""" _filter = [h.lower() for h in _filter] + [h.upper() for h in _filter] headers = [h for h in headers if not _filter or h in _filter] # Maximum header width header_widths = [len(h) for h in headers] for row in data: for idx in range(len(headers)): # If a row contains an element which is wider update maximum width if header_widths[idx] < len(str(row[idx])): header_widths[idx] = len(str(row[idx])) # Prepare the format string with the maximum widths formatted_output_parts = ['{{:<{0}}}'.format(hw) for hw in header_widths] formatted_output = ' '.join(formatted_output_parts) # Print the table with the headers capitalized click.echo(formatted_output.format(*[h.upper() for h in headers])) for row in data: click.echo(formatted_output.format(*row))
python
def click_table_printer(headers, _filter, data): """Generate space separated output for click commands.""" _filter = [h.lower() for h in _filter] + [h.upper() for h in _filter] headers = [h for h in headers if not _filter or h in _filter] # Maximum header width header_widths = [len(h) for h in headers] for row in data: for idx in range(len(headers)): # If a row contains an element which is wider update maximum width if header_widths[idx] < len(str(row[idx])): header_widths[idx] = len(str(row[idx])) # Prepare the format string with the maximum widths formatted_output_parts = ['{{:<{0}}}'.format(hw) for hw in header_widths] formatted_output = ' '.join(formatted_output_parts) # Print the table with the headers capitalized click.echo(formatted_output.format(*[h.upper() for h in headers])) for row in data: click.echo(formatted_output.format(*row))
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train
https://github.com/reanahub/reana-commons/blob/abf31d9f495e0d93171c43fc4a414cd292091b11/reana_commons/utils.py#L23-L42
reanahub/reana-commons
reana_commons/utils.py
calculate_hash_of_dir
def calculate_hash_of_dir(directory, file_list=None): """Calculate hash of directory.""" md5_hash = md5() if not os.path.exists(directory): return -1 try: for subdir, dirs, files in os.walk(directory): for _file in files: file_path = os.path.join(subdir, _file) if file_list is not None and file_path not in file_list: continue try: _file_object = open(file_path, 'rb') except Exception: # You can't open the file for some reason _file_object.close() # We return -1 since we cannot ensure that the file that # can not be read, will not change from one execution to # another. return -1 while 1: # Read file in little chunks buf = _file_object.read(4096) if not buf: break md5_hash.update(md5(buf).hexdigest().encode()) _file_object.close() except Exception: return -1 return md5_hash.hexdigest()
python
def calculate_hash_of_dir(directory, file_list=None): """Calculate hash of directory.""" md5_hash = md5() if not os.path.exists(directory): return -1 try: for subdir, dirs, files in os.walk(directory): for _file in files: file_path = os.path.join(subdir, _file) if file_list is not None and file_path not in file_list: continue try: _file_object = open(file_path, 'rb') except Exception: # You can't open the file for some reason _file_object.close() # We return -1 since we cannot ensure that the file that # can not be read, will not change from one execution to # another. return -1 while 1: # Read file in little chunks buf = _file_object.read(4096) if not buf: break md5_hash.update(md5(buf).hexdigest().encode()) _file_object.close() except Exception: return -1 return md5_hash.hexdigest()
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Calculate hash of directory.
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https://github.com/reanahub/reana-commons/blob/abf31d9f495e0d93171c43fc4a414cd292091b11/reana_commons/utils.py#L45-L75