moto/moto/core/responses.py
Steve Pulec f37bad0e00 Lints.
2017-02-23 21:37:43 -05:00

607 lines
20 KiB
Python

from __future__ import unicode_literals
import datetime
import json
import logging
import re
import pytz
from moto.core.exceptions import DryRunClientError
from jinja2 import Environment, DictLoader, TemplateNotFound
import six
from six.moves.urllib.parse import parse_qs, urlparse
import xmltodict
from pkg_resources import resource_filename
from werkzeug.exceptions import HTTPException
from moto.compat import OrderedDict
from moto.core.utils import camelcase_to_underscores, method_names_from_class
log = logging.getLogger(__name__)
def _decode_dict(d):
decoded = {}
for key, value in d.items():
if isinstance(key, six.binary_type):
newkey = key.decode("utf-8")
elif isinstance(key, (list, tuple)):
newkey = []
for k in key:
if isinstance(k, six.binary_type):
newkey.append(k.decode('utf-8'))
else:
newkey.append(k)
else:
newkey = key
if isinstance(value, six.binary_type):
newvalue = value.decode("utf-8")
elif isinstance(value, (list, tuple)):
newvalue = []
for v in value:
if isinstance(v, six.binary_type):
newvalue.append(v.decode('utf-8'))
else:
newvalue.append(v)
else:
newvalue = value
decoded[newkey] = newvalue
return decoded
class DynamicDictLoader(DictLoader):
"""
Note: There's a bug in jinja2 pre-2.7.3 DictLoader where caching does not work.
Including the fixed (current) method version here to ensure performance benefit
even for those using older jinja versions.
"""
def get_source(self, environment, template):
if template in self.mapping:
source = self.mapping[template]
return source, None, lambda: source == self.mapping.get(template)
raise TemplateNotFound(template)
def update(self, mapping):
self.mapping.update(mapping)
def contains(self, template):
return bool(template in self.mapping)
class _TemplateEnvironmentMixin(object):
def __init__(self):
super(_TemplateEnvironmentMixin, self).__init__()
self.loader = DynamicDictLoader({})
self.environment = Environment(
loader=self.loader, autoescape=self.should_autoescape)
@property
def should_autoescape(self):
# Allow for subclass to overwrite
return False
def contains_template(self, template_id):
return self.loader.contains(template_id)
def response_template(self, source):
template_id = id(source)
if not self.contains_template(template_id):
self.loader.update({template_id: source})
self.environment = Environment(loader=self.loader, autoescape=self.should_autoescape, trim_blocks=True,
lstrip_blocks=True)
return self.environment.get_template(template_id)
class BaseResponse(_TemplateEnvironmentMixin):
default_region = 'us-east-1'
region_regex = r'\.(.+?)\.amazonaws\.com'
aws_service_spec = None
@classmethod
def dispatch(cls, *args, **kwargs):
return cls()._dispatch(*args, **kwargs)
def setup_class(self, request, full_url, headers):
querystring = {}
if hasattr(request, 'body'):
# Boto
self.body = request.body
else:
# Flask server
# FIXME: At least in Flask==0.10.1, request.data is an empty string
# and the information we want is in request.form. Keeping self.body
# definition for back-compatibility
self.body = request.data
querystring = {}
for key, value in request.form.items():
querystring[key] = [value, ]
if isinstance(self.body, six.binary_type):
self.body = self.body.decode('utf-8')
if not querystring:
querystring.update(
parse_qs(urlparse(full_url).query, keep_blank_values=True))
if not querystring:
if 'json' in request.headers.get('content-type', []) and self.aws_service_spec:
decoded = json.loads(self.body)
target = request.headers.get(
'x-amz-target') or request.headers.get('X-Amz-Target')
service, method = target.split('.')
input_spec = self.aws_service_spec.input_spec(method)
flat = flatten_json_request_body('', decoded, input_spec)
for key, value in flat.items():
querystring[key] = [value]
elif self.body:
querystring.update(parse_qs(self.body, keep_blank_values=True))
if not querystring:
querystring.update(headers)
querystring = _decode_dict(querystring)
self.uri = full_url
self.path = urlparse(full_url).path
self.querystring = querystring
self.method = request.method
self.region = self.get_region_from_url(request, full_url)
self.headers = request.headers
if 'host' not in self.headers:
self.headers['host'] = urlparse(full_url).netloc
self.response_headers = {"server": "amazon.com"}
def get_region_from_url(self, request, full_url):
match = re.search(self.region_regex, full_url)
if match:
region = match.group(1)
elif 'Authorization' in request.headers:
region = request.headers['Authorization'].split(",")[
0].split("/")[2]
else:
region = self.default_region
return region
def _dispatch(self, request, full_url, headers):
self.setup_class(request, full_url, headers)
return self.call_action()
def call_action(self):
headers = self.response_headers
action = self.querystring.get('Action', [""])[0]
if not action: # Some services use a header for the action
# Headers are case-insensitive. Probably a better way to do this.
match = self.headers.get(
'x-amz-target') or self.headers.get('X-Amz-Target')
if match:
action = match.split(".")[-1]
action = camelcase_to_underscores(action)
method_names = method_names_from_class(self.__class__)
if action in method_names:
method = getattr(self, action)
try:
response = method()
except HTTPException as http_error:
response = http_error.description, dict(status=http_error.code)
if isinstance(response, six.string_types):
return 200, headers, response
else:
body, new_headers = response
status = new_headers.get('status', 200)
headers.update(new_headers)
# Cast status to string
if "status" in headers:
headers['status'] = str(headers['status'])
return status, headers, body
raise NotImplementedError(
"The {0} action has not been implemented".format(action))
def _get_param(self, param_name, if_none=None):
val = self.querystring.get(param_name)
if val is not None:
return val[0]
return if_none
def _get_int_param(self, param_name, if_none=None):
val = self._get_param(param_name)
if val is not None:
return int(val)
return if_none
def _get_bool_param(self, param_name, if_none=None):
val = self._get_param(param_name)
if val is not None:
if val.lower() == 'true':
return True
elif val.lower() == 'false':
return False
return if_none
def _get_multi_param(self, param_prefix):
"""
Given a querystring of ?LaunchConfigurationNames.member.1=my-test-1&LaunchConfigurationNames.member.2=my-test-2
this will return ['my-test-1', 'my-test-2']
"""
if param_prefix.endswith("."):
prefix = param_prefix
else:
prefix = param_prefix + "."
values = []
index = 1
while True:
try:
values.append(self.querystring[prefix + str(index)][0])
except KeyError:
break
else:
index += 1
return values
def _get_dict_param(self, param_prefix):
"""
Given a parameter dict of
{
'Instances.SlaveInstanceType': ['m1.small'],
'Instances.InstanceCount': ['1']
}
returns
{
"SlaveInstanceType": "m1.small",
"InstanceCount": "1",
}
"""
params = {}
for key, value in self.querystring.items():
if key.startswith(param_prefix):
params[camelcase_to_underscores(
key.replace(param_prefix, ""))] = value[0]
return params
def _get_list_prefix(self, param_prefix):
"""
Given a query dict like
{
'Steps.member.1.Name': ['example1'],
'Steps.member.1.ActionOnFailure': ['TERMINATE_JOB_FLOW'],
'Steps.member.1.HadoopJarStep.Jar': ['streaming1.jar'],
'Steps.member.2.Name': ['example2'],
'Steps.member.2.ActionOnFailure': ['TERMINATE_JOB_FLOW'],
'Steps.member.2.HadoopJarStep.Jar': ['streaming2.jar'],
}
returns
[{
'name': u'example1',
'action_on_failure': u'TERMINATE_JOB_FLOW',
'hadoop_jar_step._jar': u'streaming1.jar',
}, {
'name': u'example2',
'action_on_failure': u'TERMINATE_JOB_FLOW',
'hadoop_jar_step._jar': u'streaming2.jar',
}]
"""
results = []
param_index = 1
while True:
index_prefix = "{0}.{1}.".format(param_prefix, param_index)
new_items = {}
for key, value in self.querystring.items():
if key.startswith(index_prefix):
new_items[camelcase_to_underscores(
key.replace(index_prefix, ""))] = value[0]
if not new_items:
break
results.append(new_items)
param_index += 1
return results
def _get_map_prefix(self, param_prefix):
results = {}
param_index = 1
while 1:
index_prefix = '{0}.{1}.'.format(param_prefix, param_index)
k, v = None, None
for key, value in self.querystring.items():
if key.startswith(index_prefix):
if key.endswith('.key'):
k = value[0]
elif key.endswith('.value'):
v = value[0]
if not (k and v):
break
results[k] = v
param_index += 1
return results
@property
def request_json(self):
return 'JSON' in self.querystring.get('ContentType', [])
def is_not_dryrun(self, action):
if 'true' in self.querystring.get('DryRun', ['false']):
message = 'An error occurred (DryRunOperation) when calling the %s operation: Request would have succeeded, but DryRun flag is set' % action
raise DryRunClientError(
error_type="DryRunOperation", message=message)
return True
class MotoAPIResponse(BaseResponse):
def reset_response(self, request, full_url, headers):
if request.method == "POST":
from .models import moto_api_backend
moto_api_backend.reset()
return 200, {}, json.dumps({"status": "ok"})
return 400, {}, json.dumps({"Error": "Need to POST to reset Moto"})
class _RecursiveDictRef(object):
"""Store a recursive reference to dict."""
def __init__(self):
self.key = None
self.dic = {}
def __repr__(self):
return '{!r}'.format(self.dic)
def __getattr__(self, key):
return self.dic.__getattr__(key)
def set_reference(self, key, dic):
"""Set the RecursiveDictRef object to keep reference to dict object
(dic) at the key.
"""
self.key = key
self.dic = dic
class AWSServiceSpec(object):
"""Parse data model from botocore. This is used to recover type info
for fields in AWS API XML response.
"""
def __init__(self, path):
self.path = resource_filename('botocore', path)
with open(self.path) as f:
spec = json.load(f)
self.metadata = spec['metadata']
self.operations = spec['operations']
self.shapes = spec['shapes']
def input_spec(self, operation):
try:
op = self.operations[operation]
except KeyError:
raise ValueError('Invalid operation: {}'.format(operation))
if 'input' not in op:
return {}
shape = self.shapes[op['input']['shape']]
return self._expand(shape)
def output_spec(self, operation):
"""Produce a JSON with a valid API response syntax for operation, but
with type information. Each node represented by a key has the
value containing field type, e.g.,
output_spec["SomeBooleanNode"] => {"type": "boolean"}
"""
try:
op = self.operations[operation]
except KeyError:
raise ValueError('Invalid operation: {}'.format(operation))
if 'output' not in op:
return {}
shape = self.shapes[op['output']['shape']]
return self._expand(shape)
def _expand(self, shape):
def expand(dic, seen=None):
seen = seen or {}
if dic['type'] == 'structure':
nodes = {}
for k, v in dic['members'].items():
seen_till_here = dict(seen)
if k in seen_till_here:
nodes[k] = seen_till_here[k]
continue
seen_till_here[k] = _RecursiveDictRef()
nodes[k] = expand(self.shapes[v['shape']], seen_till_here)
seen_till_here[k].set_reference(k, nodes[k])
nodes['type'] = 'structure'
return nodes
elif dic['type'] == 'list':
seen_till_here = dict(seen)
shape = dic['member']['shape']
if shape in seen_till_here:
return seen_till_here[shape]
seen_till_here[shape] = _RecursiveDictRef()
expanded = expand(self.shapes[shape], seen_till_here)
seen_till_here[shape].set_reference(shape, expanded)
return {'type': 'list', 'member': expanded}
elif dic['type'] == 'map':
seen_till_here = dict(seen)
node = {'type': 'map'}
if 'shape' in dic['key']:
shape = dic['key']['shape']
seen_till_here[shape] = _RecursiveDictRef()
node['key'] = expand(self.shapes[shape], seen_till_here)
seen_till_here[shape].set_reference(shape, node['key'])
else:
node['key'] = dic['key']['type']
if 'shape' in dic['value']:
shape = dic['value']['shape']
seen_till_here[shape] = _RecursiveDictRef()
node['value'] = expand(self.shapes[shape], seen_till_here)
seen_till_here[shape].set_reference(shape, node['value'])
else:
node['value'] = dic['value']['type']
return node
else:
return {'type': dic['type']}
return expand(shape)
def to_str(value, spec):
vtype = spec['type']
if vtype == 'boolean':
return 'true' if value else 'false'
elif vtype == 'integer':
return str(value)
elif vtype == 'float':
return str(value)
elif vtype == 'timestamp':
return datetime.datetime.utcfromtimestamp(
value).replace(tzinfo=pytz.utc).isoformat()
elif vtype == 'string':
return str(value)
elif value is None:
return 'null'
else:
raise TypeError('Unknown type {}'.format(vtype))
def from_str(value, spec):
vtype = spec['type']
if vtype == 'boolean':
return True if value == 'true' else False
elif vtype == 'integer':
return int(value)
elif vtype == 'float':
return float(value)
elif vtype == 'timestamp':
return value
elif vtype == 'string':
return value
raise TypeError('Unknown type {}'.format(vtype))
def flatten_json_request_body(prefix, dict_body, spec):
"""Convert a JSON request body into query params."""
if len(spec) == 1 and 'type' in spec:
return {prefix: to_str(dict_body, spec)}
flat = {}
for key, value in dict_body.items():
node_type = spec[key]['type']
if node_type == 'list':
for idx, v in enumerate(value, 1):
pref = key + '.member.' + str(idx)
flat.update(flatten_json_request_body(
pref, v, spec[key]['member']))
elif node_type == 'map':
for idx, (k, v) in enumerate(value.items(), 1):
pref = key + '.entry.' + str(idx)
flat.update(flatten_json_request_body(
pref + '.key', k, spec[key]['key']))
flat.update(flatten_json_request_body(
pref + '.value', v, spec[key]['value']))
else:
flat.update(flatten_json_request_body(key, value, spec[key]))
if prefix:
prefix = prefix + '.'
return dict((prefix + k, v) for k, v in flat.items())
def xml_to_json_response(service_spec, operation, xml, result_node=None):
"""Convert rendered XML response to JSON for use with boto3."""
def transform(value, spec):
"""Apply transformations to make the output JSON comply with the
expected form. This function applies:
(1) Type cast to nodes with "type" property (e.g., 'true' to
True). XML field values are all in text so this step is
necessary to convert it to valid JSON objects.
(2) Squashes "member" nodes to lists.
"""
if len(spec) == 1:
return from_str(value, spec)
od = OrderedDict()
for k, v in value.items():
if k.startswith('@'):
continue
if k not in spec:
# this can happen when with an older version of
# botocore for which the node in XML template is not
# defined in service spec.
log.warning(
'Field %s is not defined by the botocore version in use', k)
continue
if spec[k]['type'] == 'list':
if v is None:
od[k] = []
elif len(spec[k]['member']) == 1:
if isinstance(v['member'], list):
od[k] = transform(v['member'], spec[k]['member'])
else:
od[k] = [transform(v['member'], spec[k]['member'])]
elif isinstance(v['member'], list):
od[k] = [transform(o, spec[k]['member'])
for o in v['member']]
elif isinstance(v['member'], OrderedDict):
od[k] = [transform(v['member'], spec[k]['member'])]
else:
raise ValueError('Malformatted input')
elif spec[k]['type'] == 'map':
if v is None:
od[k] = {}
else:
items = ([v['entry']] if not isinstance(v['entry'], list) else
v['entry'])
for item in items:
key = from_str(item['key'], spec[k]['key'])
val = from_str(item['value'], spec[k]['value'])
if k not in od:
od[k] = {}
od[k][key] = val
else:
if v is None:
od[k] = None
else:
od[k] = transform(v, spec[k])
return od
dic = xmltodict.parse(xml)
output_spec = service_spec.output_spec(operation)
try:
for k in (result_node or (operation + 'Response', operation + 'Result')):
dic = dic[k]
except KeyError:
return None
else:
return transform(dic, output_spec)
return None