fleet/infrastructure/sandbox/Data/lambda/elasticsearch/connection/base.py
Zachary Winnerman 70524b6e3a
Sandbox data (#8523)
* Initial work on sandbox data pipeline

* Update python code to have preliminary code

* Added in final code for sandbox-data.
Huge delay because I needed to double check licensing
2022-11-01 12:41:13 -04:00

258 lines
8.7 KiB
Python

# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import logging
import binascii
import gzip
import io
from platform import python_version
try:
import simplejson as json
except ImportError:
import json
from ..exceptions import TransportError, ImproperlyConfigured, HTTP_EXCEPTIONS
from .. import __versionstr__
logger = logging.getLogger("elasticsearch")
# create the elasticsearch.trace logger, but only set propagate to False if the
# logger hasn't already been configured
_tracer_already_configured = "elasticsearch.trace" in logging.Logger.manager.loggerDict
tracer = logging.getLogger("elasticsearch.trace")
if not _tracer_already_configured:
tracer.propagate = False
class Connection(object):
"""
Class responsible for maintaining a connection to an Elasticsearch node. It
holds persistent connection pool to it and it's main interface
(`perform_request`) is thread-safe.
Also responsible for logging.
:arg host: hostname of the node (default: localhost)
:arg port: port to use (integer, default: 9200)
:arg use_ssl: use ssl for the connection if `True`
:arg url_prefix: optional url prefix for elasticsearch
:arg timeout: default timeout in seconds (float, default: 10)
:arg http_compress: Use gzip compression
:arg cloud_id: The Cloud ID from ElasticCloud. Convenient way to connect to cloud instances.
"""
HTTP_CLIENT_META = None
def __init__(
self,
host="localhost",
port=None,
use_ssl=False,
url_prefix="",
timeout=10,
headers=None,
http_compress=None,
cloud_id=None,
meta_header=True,
**kwargs
):
if cloud_id:
try:
_, cloud_id = cloud_id.split(":")
parent_dn, es_uuid = (
binascii.a2b_base64(cloud_id.encode("utf-8"))
.decode("utf-8")
.split("$")[:2]
)
if ":" in parent_dn:
parent_dn, _, parent_port = parent_dn.rpartition(":")
if port is None and parent_port != "443":
port = int(parent_port)
except (ValueError, IndexError):
raise ImproperlyConfigured("'cloud_id' is not properly formatted")
host = "%s.%s" % (es_uuid, parent_dn)
use_ssl = True
if http_compress is None:
http_compress = True
# If cloud_id isn't set and port is default then use 9200.
# Cloud should use '443' by default via the 'https' scheme.
elif port is None:
port = 9200
# Work-around if the implementing class doesn't
# define the headers property before calling super().__init__()
if not hasattr(self, "headers"):
self.headers = {}
headers = headers or {}
for key in headers:
self.headers[key.lower()] = headers[key]
self.headers.setdefault("content-type", "application/json")
self.headers.setdefault("user-agent", self._get_default_user_agent())
if http_compress:
self.headers["accept-encoding"] = "gzip,deflate"
scheme = kwargs.get("scheme", "http")
if use_ssl or scheme == "https":
scheme = "https"
use_ssl = True
self.use_ssl = use_ssl
self.http_compress = http_compress or False
self.hostname = host
self.port = port
self.host = "%s://%s" % (scheme, host)
if self.port is not None:
self.host += ":%s" % self.port
if url_prefix:
url_prefix = "/" + url_prefix.strip("/")
self.url_prefix = url_prefix
self.timeout = timeout
if not isinstance(meta_header, bool):
raise TypeError("meta_header must be of type bool")
self.meta_header = meta_header
def __repr__(self):
return "<%s: %s>" % (self.__class__.__name__, self.host)
def _gzip_compress(self, body):
buf = io.BytesIO()
with gzip.GzipFile(fileobj=buf, mode="wb") as f:
f.write(body)
return buf.getvalue()
def _pretty_json(self, data):
# pretty JSON in tracer curl logs
try:
return json.dumps(
json.loads(data), sort_keys=True, indent=2, separators=(",", ": ")
).replace("'", r"\u0027")
except (ValueError, TypeError):
# non-json data or a bulk request
return data
def _log_trace(self, method, path, body, status_code, response, duration):
if not tracer.isEnabledFor(logging.INFO) or not tracer.handlers:
return
# include pretty in trace curls
path = path.replace("?", "?pretty&", 1) if "?" in path else path + "?pretty"
if self.url_prefix:
path = path.replace(self.url_prefix, "", 1)
tracer.info(
"curl %s-X%s 'http://localhost:9200%s' -d '%s'",
"-H 'Content-Type: application/json' " if body else "",
method,
path,
self._pretty_json(body) if body else "",
)
if tracer.isEnabledFor(logging.DEBUG):
tracer.debug(
"#[%s] (%.3fs)\n#%s",
status_code,
duration,
self._pretty_json(response).replace("\n", "\n#") if response else "",
)
def log_request_success(
self, method, full_url, path, body, status_code, response, duration
):
""" Log a successful API call. """
# TODO: optionally pass in params instead of full_url and do urlencode only when needed
# body has already been serialized to utf-8, deserialize it for logging
# TODO: find a better way to avoid (de)encoding the body back and forth
if body:
try:
body = body.decode("utf-8", "ignore")
except AttributeError:
pass
logger.info(
"%s %s [status:%s request:%.3fs]", method, full_url, status_code, duration
)
logger.debug("> %s", body)
logger.debug("< %s", response)
self._log_trace(method, path, body, status_code, response, duration)
def log_request_fail(
self,
method,
full_url,
path,
body,
duration,
status_code=None,
response=None,
exception=None,
):
""" Log an unsuccessful API call. """
# do not log 404s on HEAD requests
if method == "HEAD" and status_code == 404:
return
logger.warning(
"%s %s [status:%s request:%.3fs]",
method,
full_url,
status_code or "N/A",
duration,
exc_info=exception is not None,
)
# body has already been serialized to utf-8, deserialize it for logging
# TODO: find a better way to avoid (de)encoding the body back and forth
if body:
try:
body = body.decode("utf-8", "ignore")
except AttributeError:
pass
logger.debug("> %s", body)
self._log_trace(method, path, body, status_code, response, duration)
if response is not None:
logger.debug("< %s", response)
def _raise_error(self, status_code, raw_data):
""" Locate appropriate exception and raise it. """
error_message = raw_data
additional_info = None
try:
if raw_data:
additional_info = json.loads(raw_data)
error_message = additional_info.get("error", error_message)
if isinstance(error_message, dict) and "type" in error_message:
error_message = error_message["type"]
except (ValueError, TypeError) as err:
logger.warning("Undecodable raw error response from server: %s", err)
raise HTTP_EXCEPTIONS.get(status_code, TransportError)(
status_code, error_message, additional_info
)
def _get_default_user_agent(self):
return "elasticsearch-py/%s (Python %s)" % (__versionstr__, python_version())