moto/moto/logs/responses.py
rajinder 3d7d5eb7ed
added update rest api (#4303)
Co-authored-by: rajinder saini <rajinder.saini@c02vt5k2htd6.corp.climate.com>
2021-09-18 20:17:42 +00:00

366 lines
13 KiB
Python

import json
import re
from .exceptions import InvalidParameterException
from moto.core.responses import BaseResponse
from .models import logs_backends
# See http://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/Welcome.html
def validate_param(
param_name, param_value, constraint, constraint_expression, pattern=None
):
try:
assert constraint_expression(param_value)
except (AssertionError, TypeError):
raise InvalidParameterException(
constraint=constraint, parameter=param_name, value=param_value,
)
if pattern and param_value:
try:
assert re.match(pattern, param_value)
except (AssertionError, TypeError):
raise InvalidParameterException(
constraint=f"Must match pattern: {pattern}",
parameter=param_name,
value=param_value,
)
class LogsResponse(BaseResponse):
@property
def logs_backend(self):
return logs_backends[self.region]
@property
def request_params(self):
try:
return json.loads(self.body)
except ValueError:
return {}
def _get_param(self, param, if_none=None):
return self.request_params.get(param, if_none)
def _get_validated_param(
self, param, constraint, constraint_expression, pattern=None
):
param_value = self._get_param(param)
validate_param(param, param_value, constraint, constraint_expression, pattern)
return param_value
def put_metric_filter(self):
filter_name = self._get_validated_param(
"filterName",
"Minimum length of 1. Maximum length of 512.",
lambda x: 1 <= len(x) <= 512,
pattern="[^:*]*",
)
filter_pattern = self._get_validated_param(
"filterPattern",
"Minimum length of 0. Maximum length of 1024.",
lambda x: 0 <= len(x) <= 1024,
)
log_group_name = self._get_validated_param(
"logGroupName",
"Minimum length of 1. Maximum length of 512.",
lambda x: 1 <= len(x) <= 512,
pattern="[.-_/#A-Za-z0-9]+",
)
metric_transformations = self._get_validated_param(
"metricTransformations", "Fixed number of 1 item.", lambda x: len(x) == 1
)
self.logs_backend.put_metric_filter(
filter_name, filter_pattern, log_group_name, metric_transformations
)
return ""
def describe_metric_filters(self):
filter_name_prefix = self._get_validated_param(
"filterNamePrefix",
"Minimum length of 1. Maximum length of 512.",
lambda x: x is None or 1 <= len(x) <= 512,
pattern="[^:*]*",
)
log_group_name = self._get_validated_param(
"logGroupName",
"Minimum length of 1. Maximum length of 512",
lambda x: x is None or 1 <= len(x) <= 512,
pattern="[.-_/#A-Za-z0-9]+",
)
metric_name = self._get_validated_param(
"metricName",
"Maximum length of 255.",
lambda x: x is None or len(x) <= 255,
pattern="[^:*$]*",
)
metric_namespace = self._get_validated_param(
"metricNamespace",
"Maximum length of 255.",
lambda x: x is None or len(x) <= 255,
pattern="[^:*$]*",
)
next_token = self._get_validated_param(
"nextToken", "Minimum length of 1.", lambda x: x is None or 1 <= len(x)
)
if metric_name and not metric_namespace:
raise InvalidParameterException(
constraint=f'{"If you include the metricName parameter in your request, "}'
f'{"you must also include the metricNamespace parameter."}',
parameter="metricNamespace",
value=metric_namespace,
)
if metric_namespace and not metric_name:
raise InvalidParameterException(
constraint=f'{"If you include the metricNamespace parameter in your request, "}'
f'{"you must also include the metricName parameter."}',
parameter="metricName",
value=metric_name,
)
filters = self.logs_backend.describe_metric_filters(
filter_name_prefix, log_group_name, metric_name, metric_namespace
)
return json.dumps({"metricFilters": filters, "nextToken": next_token})
def delete_metric_filter(self):
filter_name = self._get_validated_param(
"filterName",
"Minimum length of 1. Maximum length of 512.",
lambda x: 1 <= len(x) <= 512,
pattern="[^:*]*$",
)
log_group_name = self._get_validated_param(
"logGroupName",
"Minimum length of 1. Maximum length of 512.",
lambda x: 1 <= len(x) <= 512,
pattern="[.-_/#A-Za-z0-9]+$",
)
self.logs_backend.delete_metric_filter(filter_name, log_group_name)
return ""
def create_log_group(self):
log_group_name = self._get_param("logGroupName")
tags = self._get_param("tags")
kms_key_id = self._get_param("kmsKeyId")
self.logs_backend.create_log_group(log_group_name, tags, kmsKeyId=kms_key_id)
return ""
def delete_log_group(self):
log_group_name = self._get_param("logGroupName")
self.logs_backend.delete_log_group(log_group_name)
return ""
def describe_log_groups(self):
log_group_name_prefix = self._get_param("logGroupNamePrefix")
next_token = self._get_param("nextToken")
limit = self._get_param("limit", 50)
groups, next_token = self.logs_backend.describe_log_groups(
limit, log_group_name_prefix, next_token
)
result = {"logGroups": groups}
if next_token:
result["nextToken"] = next_token
return json.dumps(result)
def create_log_stream(self):
log_group_name = self._get_param("logGroupName")
log_stream_name = self._get_param("logStreamName")
self.logs_backend.create_log_stream(log_group_name, log_stream_name)
return ""
def delete_log_stream(self):
log_group_name = self._get_param("logGroupName")
log_stream_name = self._get_param("logStreamName")
self.logs_backend.delete_log_stream(log_group_name, log_stream_name)
return ""
def describe_log_streams(self):
log_group_name = self._get_param("logGroupName")
log_stream_name_prefix = self._get_param("logStreamNamePrefix", "")
descending = self._get_param("descending", False)
limit = self._get_param("limit", 50)
next_token = self._get_param("nextToken")
order_by = self._get_param("orderBy", "LogStreamName")
streams, next_token = self.logs_backend.describe_log_streams(
descending,
limit,
log_group_name,
log_stream_name_prefix,
next_token,
order_by,
)
return json.dumps({"logStreams": streams, "nextToken": next_token})
def put_log_events(self):
log_group_name = self._get_param("logGroupName")
log_stream_name = self._get_param("logStreamName")
log_events = self._get_param("logEvents")
sequence_token = self._get_param("sequenceToken")
next_sequence_token = self.logs_backend.put_log_events(
log_group_name, log_stream_name, log_events, sequence_token
)
return json.dumps({"nextSequenceToken": next_sequence_token})
def get_log_events(self):
log_group_name = self._get_param("logGroupName")
log_stream_name = self._get_param("logStreamName")
start_time = self._get_param("startTime")
end_time = self._get_param("endTime")
limit = self._get_param("limit")
next_token = self._get_param("nextToken")
start_from_head = self._get_param("startFromHead", False)
(
events,
next_backward_token,
next_forward_token,
) = self.logs_backend.get_log_events(
log_group_name,
log_stream_name,
start_time,
end_time,
limit,
next_token,
start_from_head,
)
return json.dumps(
{
"events": events,
"nextBackwardToken": next_backward_token,
"nextForwardToken": next_forward_token,
}
)
def filter_log_events(self):
log_group_name = self._get_param("logGroupName")
log_stream_names = self._get_param("logStreamNames", [])
start_time = self._get_param("startTime")
# impl, see: http://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/FilterAndPatternSyntax.html
filter_pattern = self._get_param("filterPattern")
interleaved = self._get_param("interleaved", False)
end_time = self._get_param("endTime")
limit = self._get_param("limit")
next_token = self._get_param("nextToken")
events, next_token, searched_streams = self.logs_backend.filter_log_events(
log_group_name,
log_stream_names,
start_time,
end_time,
limit,
next_token,
filter_pattern,
interleaved,
)
return json.dumps(
{
"events": events,
"nextToken": next_token,
"searchedLogStreams": searched_streams,
}
)
def put_retention_policy(self):
log_group_name = self._get_param("logGroupName")
retention_in_days = self._get_param("retentionInDays")
self.logs_backend.put_retention_policy(log_group_name, retention_in_days)
return ""
def delete_retention_policy(self):
log_group_name = self._get_param("logGroupName")
self.logs_backend.delete_retention_policy(log_group_name)
return ""
def describe_resource_policies(self):
next_token = self._get_param("nextToken")
limit = self._get_param("limit")
policies = self.logs_backend.describe_resource_policies(next_token, limit)
return json.dumps({"resourcePolicies": policies})
def put_resource_policy(self):
policy_name = self._get_param("policyName")
policy_doc = self._get_param("policyDocument")
result = self.logs_backend.put_resource_policy(policy_name, policy_doc)
return json.dumps(result)
def delete_resource_policy(self):
policy_name = self._get_param("policyName")
self.logs_backend.delete_resource_policy(policy_name)
return ""
def list_tags_log_group(self):
log_group_name = self._get_param("logGroupName")
tags = self.logs_backend.list_tags_log_group(log_group_name)
return json.dumps({"tags": tags})
def tag_log_group(self):
log_group_name = self._get_param("logGroupName")
tags = self._get_param("tags")
self.logs_backend.tag_log_group(log_group_name, tags)
return ""
def untag_log_group(self):
log_group_name = self._get_param("logGroupName")
tags = self._get_param("tags")
self.logs_backend.untag_log_group(log_group_name, tags)
return ""
def describe_subscription_filters(self):
log_group_name = self._get_param("logGroupName")
subscription_filters = self.logs_backend.describe_subscription_filters(
log_group_name
)
return json.dumps({"subscriptionFilters": subscription_filters})
def put_subscription_filter(self):
log_group_name = self._get_param("logGroupName")
filter_name = self._get_param("filterName")
filter_pattern = self._get_param("filterPattern")
destination_arn = self._get_param("destinationArn")
role_arn = self._get_param("roleArn")
self.logs_backend.put_subscription_filter(
log_group_name, filter_name, filter_pattern, destination_arn, role_arn
)
return ""
def delete_subscription_filter(self):
log_group_name = self._get_param("logGroupName")
filter_name = self._get_param("filterName")
self.logs_backend.delete_subscription_filter(log_group_name, filter_name)
return ""
def start_query(self):
log_group_name = self._get_param("logGroupName")
log_group_names = self._get_param("logGroupNames")
start_time = self._get_param("startTime")
end_time = self._get_param("endTime")
query_string = self._get_param("queryString")
if log_group_name and log_group_names:
raise InvalidParameterException()
if log_group_name:
log_group_names = [log_group_name]
query_id = self.logs_backend.start_query(
log_group_names, start_time, end_time, query_string
)
return json.dumps({"queryId": "{0}".format(query_id)})