Source code for watchtower

from import Mapping
from datetime import date, datetime
from operator import itemgetter
import os, sys, json, logging, time, threading, warnings, functools, platform
import queue

import boto3
import botocore
from botocore.exceptions import ClientError

DEFAULT_LOG_STREAM_NAME = "{machine_name}/{program_name}/{logger_name}/{process_id}"

def _json_serialize_default(o):
    A standard 'default' json serializer function.

    - Serializes datetime objects using their .isoformat() method.

    - Serializes all other objects using repr().
    if isinstance(o, (date, datetime)):
        return o.isoformat()
        return repr(o)

def _boto_debug_filter(record):
    # Filter debug log messages from botocore and its dependency, urllib3.
    # This is required to avoid message storms any time we send logs.
    if"botocore") and record.levelname == "DEBUG":
        return False
    if"urllib3") and record.levelname == "DEBUG":
        return False
    return True

def _boto_filter(record):
    # Filter log messages from botocore and its dependency, urllib3.
    # This is required to avoid an infinite loop when shutting down.
        return False
        return False
    return True

[docs]class WatchtowerWarning(UserWarning): "Default warning class for the watchtower module."
[docs]class WatchtowerError(Exception): "Default exception class for the watchtower module."
[docs]class CloudWatchLogFormatter(logging.Formatter): """ Log formatter for CloudWatch messages. Transforms logged message into a message compatible with the CloudWatch API. This is the default formatter for CloudWatchLogHandler. This log formatter is designed to accommodate structured log messages by correctly serializing them as JSON, which is automatically recognized, parsed, and indexed by CloudWatch Logs. To use this feature, pass a dictionary input to the logger instead of a plain string:: logger = logging.getLogger(__name__) logger.addHandler(watchtower.CloudWatchLogHandler()) logger.critical({"request": "hello", "metadata": {"size": 9000}}) If the optional `add_log_record_attrs` attribute or keyword argument is set, it enables the forwarding of specified `LogRecord attributes <>`_ with the message. In this mode, if the message is not already a dictionary, it is converted to one with the original message under the `msg` key:: logger = logging.getLogger(__name__) handler = watchtower.CloudWatchLogHandler() handler.formatter.add_log_record_attrs=["levelname", "filename", "process", "thread"] logger.addHandler(handler) logger.critical({"request": "hello", "metadata": {"size": 9000}}) The resulting raw CloudWatch Logs event will look like this:: {"timestamp": 1636868049692, "message": '{"request": "hello", "metadata": {"size": 9000}, "levelname": "CRITICAL", "filename": "/path/to/", "process": 74542, "thread": 4659336704}', "ingestionTime": 1636868050028} This enables sending log message metadata as structured log data instead of relying on string formatting. See `LogRecord attributes <>`_ for the full list of available attributes. :param json_serialize_default: The 'default' function to use when serializing dictionaries as JSON. See the `JSON module documentation <>`_ for more details about the 'default' parameter. By default, watchtower uses a serializer that formats datetime objects into strings using the `datetime.isoformat()` method, and uses `repr()` to represent all other objects. """ add_log_record_attrs = tuple() def __init__(self, *args, json_serialize_default: callable = None, add_log_record_attrs: tuple = None, **kwargs): super().__init__(*args, **kwargs) self.json_serialize_default = _json_serialize_default if json_serialize_default is not None: self.json_serialize_default = json_serialize_default if add_log_record_attrs is not None: self.add_log_record_attrs = add_log_record_attrs
[docs] def format(self, message): if self.add_log_record_attrs: msg = message.msg if isinstance(message.msg, Mapping) else {"msg": message.msg} for field in self.add_log_record_attrs: if field != "msg": msg[field] = getattr(message, field) message.msg = msg if isinstance(message.msg, Mapping): return json.dumps(message.msg, default=self.json_serialize_default) return super().format(message)
[docs]class CloudWatchLogHandler(logging.Handler): """ Create a new CloudWatch log handler object. This is the main entry point to the functionality of the module. See the `CloudWatch Logs developer guide <>`_ and the `Python logging module documentation <>`_ for more information. :param log_group_name: Name of the CloudWatch log group to write logs to. By default, the name of this module is used. :param log_stream_name: Name of the CloudWatch log stream to write logs to. By default, a string containing the machine name, the program name, and the name of the logger that processed the message is used. Accepts the following format string parameters: {machine_name}, {program_name}, {logger_name}, {process_id}, {thread_name}, and {strftime:%m-%d-%y}, where any strftime string can be used to include the current UTC datetime in the stream name. The strftime format string option can be used to sort logs into streams on an hourly, daily, or monthly basis. :param use_queues: If **True** (the default), logs will be queued on a per-stream basis and sent in batches. To manage the queues, a queue handler thread will be spawned. You can set this to False to make it easier to debug threading issues in your application. Setting this to False in production is not recommended, since it will cause performance issues due to the synchronous sending of one CloudWatch API request per log message. :param send_interval: Maximum time (in seconds, or a timedelta) to hold messages in queue before sending a batch. :param max_batch_size: Maximum size (in bytes) of the queue before sending a batch. From CloudWatch Logs documentation: *The maximum batch size is 1,048,576 bytes, and this size is calculated as the sum of all event messages in UTF-8, plus 26 bytes for each log event.* :param max_batch_count: Maximum number of messages in the queue before sending a batch. From CloudWatch Logs documentation: *The maximum number of log events in a batch is 10,000.* :param boto3_client: Client object for sending boto3 logs. Use this to pass custom session or client parameters. For example, to specify a custom region:: CloudWatchLogHandler(boto3_client=boto3.client("logs", region_name="us-west-2")) See the `boto3 session reference <>`_ for details about the available session and client options. :param boto3_profile_name: Name of the boto3 configuration profile to use. This option is provided for situations where the logger should use a different AWS client configuration from the rest of the system, but declarative configuration via a static dictionary or config file is desired. :param create_log_group: Create CloudWatch Logs log group if it does not exist. **True** by default. :param log_group_retention_days: Sets the retention policy of the log group in days. **None** by default. :param create_log_stream: Create CloudWatch Logs log stream if it does not exist. **True** by default. :param json_serialize_default: The 'default' function to use when serializing dictionaries as JSON. See the `JSON module documentation <>`_ for more details about the 'default' parameter. By default, watchtower uses a serializer that formats datetime objects into strings using the `datetime.isoformat()` method, and uses `repr()` to represent all other objects. :param max_message_size: Maximum size (in bytes) of a single message. """ END = 1 FLUSH = 2 # extra size of meta information with each messages EXTRA_MSG_PAYLOAD_SIZE = 26 def __init__(self, log_group_name: str = __name__, log_stream_name: str = DEFAULT_LOG_STREAM_NAME, use_queues: bool = True, send_interval: int = 60, max_batch_size: int = 1024 * 1024, max_batch_count: int = 10000, boto3_client: botocore.client.BaseClient = None, boto3_profile_name: str = None, create_log_group: bool = True, json_serialize_default: callable = None, log_group_retention_days: int = None, create_log_stream: bool = True, max_message_size: int = 256 * 1024, log_group=None, stream_name=None, *args, **kwargs): super().__init__(*args, **kwargs) self.log_group_name = log_group_name self.log_stream_name = log_stream_name self.use_queues = use_queues self.send_interval = send_interval self.json_serialize_default = json_serialize_default or _json_serialize_default self.max_batch_size = max_batch_size self.max_batch_count = max_batch_count self.max_message_size = max_message_size self.create_log_stream = create_log_stream self.log_group_retention_days = log_group_retention_days self._init_state() if log_group is not None: if log_group_name != __name__: raise WatchtowerError("Both log_group_name and deprecated log_group parameter specified") warnings.warn("Please use log_group_name instead of log_group", DeprecationWarning) self.log_group_name = log_group if stream_name is not None: if log_stream_name != DEFAULT_LOG_STREAM_NAME: raise WatchtowerError("Both log_stream_name and deprecated stream_name parameter specified") warnings.warn("Please use log_stream_name instead of stream_name", DeprecationWarning) self.log_stream_name = stream_name self.setFormatter(CloudWatchLogFormatter(json_serialize_default=json_serialize_default)) self.addFilter(_boto_debug_filter) # Creating the client should be the final call in __init__, after all instance attributes are set. # This ensures that failing to create the session will not result in any missing attribtues. if boto3_client is None and boto3_profile_name is None: self.cwl_client = boto3.client("logs") elif boto3_client is not None and boto3_profile_name is None: self.cwl_client = boto3_client elif boto3_client is None and boto3_profile_name is not None: self.cwl_client = boto3.session.Session(profile_name=boto3_profile_name).client("logs") else: raise WatchtowerError("Either boto3_client or boto3_profile_name can be specified, but not both") if create_log_group: self._ensure_log_group() if log_group_retention_days: self._idempotent_call("put_retention_policy", logGroupName=self.log_group_name, retentionInDays=self.log_group_retention_days) def _at_fork_reinit(self): # This was added in Python 3.9 and should only be called with a recent # version of Python. An older version will attempt to call createLock # instead. super()._at_fork_reinit() self._init_state() def _init_state(self): self.queues, self.sequence_tokens = {}, {} self.threads = [] self.creating_log_stream, self.shutting_down = False, False def _paginate(self, boto3_paginator, *args, **kwargs): for page in boto3_paginator.paginate(*args, **kwargs): for result_key in boto3_paginator.result_keys: for value in page.get(result_key.parsed.get("value"), []): yield value def _ensure_log_group(self): try: paginator = self.cwl_client.get_paginator("describe_log_groups") for log_group in self._paginate(paginator, logGroupNamePrefix=self.log_group_name): if log_group["logGroupName"] == self.log_group_name: return except self.cwl_client.exceptions.ClientError: pass self._idempotent_call("create_log_group", logGroupName=self.log_group_name) def _idempotent_call(self, method, *args, **kwargs): method_callable = getattr(self.cwl_client, method) try: method_callable(*args, **kwargs) except (self.cwl_client.exceptions.OperationAbortedException, self.cwl_client.exceptions.ResourceAlreadyExistsException): pass @functools.lru_cache(maxsize=0) def _get_machine_name(self): return platform.node() def _get_stream_name(self, message): return self.log_stream_name.format( machine_name=self._get_machine_name(), program_name=sys.argv[0], process_id=os.getpid(), thread_name=threading.current_thread().name,, strftime=datetime.utcnow() ) def _submit_batch(self, batch, log_stream_name, max_retries=5): if len(batch) < 1: return sorted_batch = sorted(batch, key=itemgetter('timestamp'), reverse=False) kwargs = dict(logGroupName=self.log_group_name, logStreamName=log_stream_name, logEvents=sorted_batch) if self.sequence_tokens[log_stream_name] is not None: kwargs["sequenceToken"] = self.sequence_tokens[log_stream_name] response = None for retry in range(max_retries): try: response = self.cwl_client.put_log_events(**kwargs) break except ClientError as e: if isinstance(e, (self.cwl_client.exceptions.DataAlreadyAcceptedException, self.cwl_client.exceptions.InvalidSequenceTokenException)): next_expected_token = e.response["Error"]["Message"].rsplit(" ", 1)[-1] # null as the next sequenceToken means don't include any # sequenceToken at all, not that the token should be set to "null" if next_expected_token == "null": kwargs.pop("sequenceToken", None) else: kwargs["sequenceToken"] = next_expected_token elif isinstance(e, self.cwl_client.exceptions.ResourceNotFoundException): if self.create_log_stream: self.creating_log_stream = True try: self._idempotent_call("create_log_stream", logGroupName=self.log_group_name, logStreamName=log_stream_name) # We now have a new stream name and the next retry # will be the first attempt to log to it, so we # should not continue to use the old sequence token # at this point, the first write to the new stream # should not contain a sequence token at all. kwargs.pop("sequenceToken", None) finally: self.creating_log_stream = False else: warnings.warn("Failed to deliver logs: {}".format(e), WatchtowerWarning) except Exception as e: warnings.warn("Failed to deliver logs: {}".format(e), WatchtowerWarning) # response can be None only when all retries have been exhausted if response is None or "rejectedLogEventsInfo" in response: warnings.warn("Failed to deliver logs: {}".format(response), WatchtowerWarning) elif "nextSequenceToken" in response: # According to, nextSequenceToken may sometimes be absent # from the response self.sequence_tokens[log_stream_name] = response["nextSequenceToken"]
[docs] def createLock(self): super().createLock() self._init_state()
[docs] def emit(self, message): if self.creating_log_stream: return # Avoid infinite recursion when asked to log a message as our own side effect if message.getMessage() == "": warnings.warn("Received empty message. Empty messages cannot be sent to CloudWatch Logs", WatchtowerWarning) return try: stream_name = self._get_stream_name(message) if stream_name not in self.sequence_tokens: self.sequence_tokens[stream_name] = None cwl_message = dict(timestamp=int(message.created * 1000), message=self.format(message)) if self.use_queues: if stream_name not in self.queues: self.queues[stream_name] = queue.Queue() thread = threading.Thread(target=self._dequeue_batch, args=(self.queues[stream_name], stream_name, self.send_interval, self.max_batch_size, self.max_batch_count, self.max_message_size)) self.threads.append(thread) thread.daemon = True thread.start() if self.shutting_down: warnings.warn("Received message after logging system shutdown", WatchtowerWarning) else: self.queues[stream_name].put(cwl_message) else: self._submit_batch([cwl_message], stream_name) except Exception: self.handleError(message)
def _dequeue_batch(self, my_queue, stream_name, send_interval, max_batch_size, max_batch_count, max_message_size): msg = None max_message_body_size = max_message_size - CloudWatchLogHandler.EXTRA_MSG_PAYLOAD_SIZE def size(_msg): return (len(_msg["message"]) if isinstance(_msg, dict) else 1) + CloudWatchLogHandler.EXTRA_MSG_PAYLOAD_SIZE def truncate(_msg2): warnings.warn("Log message size exceeds CWL max payload size, truncated", WatchtowerWarning) _msg2["message"] = _msg2["message"][:max_message_body_size] return _msg2 # See while msg != self.END: cur_batch = [] if msg is None or msg == self.FLUSH else [msg] cur_batch_size = sum(map(size, cur_batch)) cur_batch_msg_count = len(cur_batch) cur_batch_deadline = time.time() + send_interval while True: try: msg = my_queue.get(block=True, timeout=max(0, cur_batch_deadline - time.time())) if size(msg) > max_message_body_size: msg = truncate(msg) except queue.Empty: # If the queue is empty, we don't want to reprocess the previous message msg = None if msg is None \ or msg == self.END \ or msg == self.FLUSH \ or cur_batch_size + size(msg) > max_batch_size \ or cur_batch_msg_count >= max_batch_count \ or time.time() >= cur_batch_deadline: self._submit_batch(cur_batch, stream_name) if msg is not None: # We don't want to call task_done if the queue was empty and we didn't receive anything new my_queue.task_done() break elif msg: cur_batch_size += size(msg) cur_batch_msg_count += 1 cur_batch.append(msg) my_queue.task_done()
[docs] def flush(self): """ Send any queued messages to CloudWatch. This method does nothing if ``use_queues`` is set to False. """ # fixme: don't add filter if it's already installed self.addFilter(_boto_filter) if self.shutting_down: return for q in self.queues.values(): q.put(self.FLUSH) for q in self.queues.values(): q.join()
[docs] def close(self): """ Send any queued messages to CloudWatch and prevent further processing of messages. This method does nothing if ``use_queues`` is set to False. """ # fixme: don't add filter if it's already installed self.addFilter(_boto_filter) # Avoid waiting on the queue again when the close called twice. # Otherwise the second call, as no thread is running, it will hang # forever if self.shutting_down: return self.shutting_down = True for q in self.queues.values(): q.put(self.END) for q in self.queues.values(): q.join() super().close()
def __repr__(self): name = self.__class__.__name__ return f"{name}(log_group_name='{self.log_group_name}', log_stream_name='{self.log_stream_name}')"