def build_retry_config(endpoint_prefix, retry_model, definitions):
service_config = retry_model.get(endpoint_prefix, {})
resolve_references(service_config, definitions)
# We want to merge the global defaults with the service specific
# defaults, with the service specific defaults taking precedence.
# So we use the global defaults as the base.
final_retry_config = {'__default__': retry_model.get('__default__', {})}
resolve_references(final_retry_config, definitions)
# The merge the service specific config on top.
merge_dicts(final_retry_config, service_config)
return final_retry_config
def build_full_result(self):
complete_result = {}
for response in self:
page = response
# We want to try to catch operation object pagination
# and format correctly for those. They come in the form
# of a tuple of two elements: (http_response, parsed_responsed).
# We want the parsed_response as that is what the page iterator
# uses. We can remove it though once operation objects are removed.
if isinstance(response, tuple) and len(response) == 2:
page = response[1]
# We're incrementally building the full response page
# by page. For each page in the response we need to
# inject the necessary components from the page
# into the complete_result.
for result_expression in self.result_keys:
# In order to incrementally update a result key
# we need to search the existing value from complete_result,
# then we need to search the _current_ page for the
# current result key value. Then we append the current
# value onto the existing value, and re-set that value
# as the new value.
result_value = result_expression.search(page)
if result_value is None:
continue
existing_value = result_expression.search(complete_result)
if existing_value is None:
# Set the initial result
set_value_from_jmespath(complete_result,
result_expression.expression,
result_value)
continue
# Now both result_value and existing_value contain something
if isinstance(result_value, list):
existing_value.extend(result_value)
elif isinstance(result_value, (int, float, six.string_types)):
# Modify the existing result with the sum or concatenation
set_value_from_jmespath(complete_result,
result_expression.expression,
existing_value + result_value)
merge_dicts(complete_result, self.non_aggregate_part)
if self.resume_token is not None:
complete_result['NextToken'] = self.resume_token
return complete_result
def build_retry_config(endpoint_prefix,
retry_model,
definitions,
client_retry_config=None):
service_config = retry_model.get(endpoint_prefix, {})
resolve_references(service_config, definitions)
# We want to merge the global defaults with the service specific
# defaults, with the service specific defaults taking precedence.
# So we use the global defaults as the base.
#
# A deepcopy is done on the retry defaults because it ensures the
# retry model has no chance of getting mutated when the service specific
# configuration or client retry config is merged in.
final_retry_config = {
'__default__': copy.deepcopy(retry_model.get('__default__', {}))
}
resolve_references(final_retry_config, definitions)
# The merge the service specific config on top.
merge_dicts(final_retry_config, service_config)
if client_retry_config is not None:
_merge_client_retry_config(final_retry_config, client_retry_config)
return final_retry_config
def _parse_error_from_body(self, response):
xml_contents = response['body']
root = self._parse_xml_string_to_dom(xml_contents)
parsed = self._build_name_to_xml_node(root)
self._replace_nodes(parsed)
if root.tag == 'Error':
# This is an S3 error response. First we'll populate the
# response metadata.
metadata = self._populate_response_metadata(response)
# The RequestId and the HostId are already in the
# ResponseMetadata, but are also duplicated in the XML
# body. We don't need these values in both places,
# we'll just remove them from the parsed XML body.
parsed.pop('RequestId', '')
parsed.pop('HostId', '')
return {'Error': parsed, 'ResponseMetadata': metadata}
elif 'RequestId' in parsed:
# Other rest-xml serivces:
parsed['ResponseMetadata'] = {'RequestId': parsed.pop('RequestId')}
default = {'Error': {'Message': '', 'Code': ''}}
merge_dicts(default, parsed)
return default
def _clone(self, **kwargs):
"""
Create a clone of this collection. This is used by the methods
below to provide a chainable interface that returns copies
rather than the original. This allows things like:
>>> base = collection.filter(Param1=1)
>>> query1 = base.filter(Param2=2)
>>> query2 = base.filter(Param3=3)
>>> query1.params
{'Param1': 1, 'Param2': 2}
>>> query2.params
{'Param1': 1, 'Param3': 3}
:rtype: :py:class:`ResourceCollection`
:return: A clone of this resource collection
"""
params = copy.deepcopy(self._params)
merge_dicts(params, kwargs, append_lists=True)
clone = self.__class__(self._model, self._parent, self._handler,
**params)
return clone
def pages(self):
"""
A generator which yields pages of resource instances after
doing the appropriate service operation calls and handling
any pagination on your behalf. Non-paginated calls will
return a single page of items.
Page size, item limit, and filter parameters are applied
if they have previously been set.
>>> bucket = s3.Bucket('boto3')
>>> for page in bucket.objects.pages():
... for obj in page:
... print(obj.key)
'key1'
'key2'
:rtype: list(:py:class:`~boto3.resources.base.ServiceResource`)
:return: List of resource instances
"""
client = self._parent.meta.client
cleaned_params = self._params.copy()
limit = cleaned_params.pop('limit', None)
page_size = cleaned_params.pop('page_size', None)
params = create_request_parameters(self._parent, self._model.request)
merge_dicts(params, cleaned_params, append_lists=True)
# Is this a paginated operation? If so, we need to get an
# iterator for the various pages. If not, then we simply
# call the operation and return the result as a single
# page in a list. For non-paginated results, we just ignore
# the page size parameter.
if client.can_paginate(self._py_operation_name):
logger.info('Calling paginated %s:%s with %r',
self._parent.meta.service_name,
self._py_operation_name, params)
paginator = client.get_paginator(self._py_operation_name)
pages = paginator.paginate(PaginationConfig={
'MaxItems': limit,
'PageSize': page_size
},
**params)
else:
logger.info('Calling %s:%s with %r',
self._parent.meta.service_name,
self._py_operation_name, params)
pages = [getattr(client, self._py_operation_name)(**params)]
# Now that we have a page iterator or single page of results
# we start processing and yielding individual items.
count = 0
for page in pages:
page_items = []
for item in self._handler(self._parent, params, page):
page_items.append(item)
# If the limit is set and has been reached, then
# we stop processing items here.
count += 1
if limit is not None and count >= limit:
break
yield page_items
# Stop reading pages if we've reached out limit
if limit is not None and count >= limit:
break