"""Text parser plugin for Atlassian Confluence log files.
This is for the atlassian-confluence.log file, one of multiple log files produced by a
Confluence DC/Server installation.
"""
import pyparsing
from dfdatetime import time_elements as dfdatetime_time_elements
from plaso.containers import events
from plaso.lib import errors
from plaso.parsers import text_parser
from plaso.parsers.text_plugins import interface
[docs]
class AtlassianConfluenceEventData(events.EventData):
"""Confluence event data.
Attributes:
body (str): the freeform body of the log line.
level (str): the logging level of the event.
logger_class (str): the Confluence class responsible for logging.
logger_method (str): name of the method within the class.
thread (str): the Confluence thread from which the log event originated.
written_time (dfdatetime.DateTimeValues): entry written date and time.
"""
DATA_TYPE = "atlassian:confluence:line"
[docs]
def __init__(self):
"""Initializes event data."""
super().__init__(data_type=self.DATA_TYPE)
self.body = None
self.level = None
self.logger_class = None
self.logger_method = None
self.thread = None
self.written_time = None
[docs]
class AtlassianConfluenceTextPlugin(interface.TextPlugin):
"""Text parser plugin for Atlassian Confluence log files."""
NAME = "atlassian_confluence"
DATA_FORMAT = "Atlassian Confluence log file"
ENCODING = "utf-8"
_TWO_DIGITS = pyparsing.Word(pyparsing.nums, exact=2).set_parse_action(
lambda tokens: int(tokens[0], 10)
)
_THREE_DIGITS = pyparsing.Word(pyparsing.nums, exact=3).set_parse_action(
lambda tokens: int(tokens[0], 10)
)
_FOUR_DIGITS = pyparsing.Word(pyparsing.nums, exact=4).set_parse_action(
lambda tokens: int(tokens[0], 10)
)
# Confluence log levels
_CONFLUENCE_LEVELS = ["DEBUG", "INFO", "WARN", "ERROR", "FATAL"]
# Date and time format: 2022-07-12 01:08:59,489
# Format: YYYY-MM-DD HH:MM:SS,mmm (comma-separated milliseconds)
_DATE_TIME = (
_FOUR_DIGITS
+ pyparsing.Suppress("-")
+ _TWO_DIGITS
+ pyparsing.Suppress("-")
+ _TWO_DIGITS
+ _TWO_DIGITS
+ pyparsing.Suppress(":")
+ _TWO_DIGITS
+ pyparsing.Suppress(":")
+ _TWO_DIGITS
+ pyparsing.Suppress(",")
+ _THREE_DIGITS
).set_results_name("date_time")
# Log level (DEBUG, INFO, WARN, ERROR, FATAL)
_LOG_LEVEL = pyparsing.oneOf(_CONFLUENCE_LEVELS).set_results_name("level")
# Thread name enclosed in brackets: [Catalina-utility-1]
# or [hz.confluence.event-3]
# Allows alphanumerics, hyphens, underscores, dots, colons, and spaces
_CONFLUENCE_THREAD = (
pyparsing.Suppress("[")
+ pyparsing.Word(pyparsing.alphanums + "-_.:" + " ").set_results_name("thread")
+ pyparsing.Suppress("]")
)
# Logger class name enclosed in brackets
# [confluence.cluster.hazelcast.HazelcastClusterManager]
_CONFLUENCE_LOGGER = (
pyparsing.Suppress("[")
+ pyparsing.SkipTo("]").set_results_name("logger_class")
+ pyparsing.Suppress("]")
)
# Logger method name: startCluster, memberAdded, <init>,
# lambda$getCompletedStatuses$0
_CONFLUENCE_LOGGER_METHOD = pyparsing.Word(
pyparsing.alphanums + "_$<>"
).set_results_name("logger_method")
# Log message body - rest of line
_CONFLUENCE_LOG_MESSAGE = pyparsing.SkipTo(pyparsing.LineEnd()).set_results_name(
"body"
)
# Complete log line structure
# Format: <timestamp> <level> [<thread>] [<logger_class>] <method> <message>
_CONFLUENCE_LOG_LINE = (
_DATE_TIME
+ _LOG_LEVEL
+ _CONFLUENCE_THREAD
+ _CONFLUENCE_LOGGER
+ _CONFLUENCE_LOGGER_METHOD
+ _CONFLUENCE_LOG_MESSAGE
)
_LINE_STRUCTURES = [("log_entry", _CONFLUENCE_LOG_LINE)]
VERIFICATION_GRAMMAR = _CONFLUENCE_LOG_LINE
def _ParseRecord(self, parser_mediator, key, structure):
"""Parses a pyparsing structure.
Args:
parser_mediator (ParserMediator): mediates interactions between parsers
and other components, such as storage and dfVFS.
key (str): name of the parsed structure.
structure (pyparsing.ParseResults): tokens from a parsed log line.
Raises:
ParseError: if the structure cannot be parsed.
"""
if key != "log_entry":
raise errors.ParseError(
f"Unable to parse record, unknown structure: {key:s}"
)
time_elements_structure = self._GetValueFromStructure(structure, "date_time")
event_data = AtlassianConfluenceEventData()
event_data.body = (
self._GetValueFromStructure(structure, "body", default_value="").strip()
or None
)
event_data.level = self._GetValueFromStructure(structure, "level")
event_data.logger_class = self._GetValueFromStructure(structure, "logger_class")
event_data.logger_method = self._GetValueFromStructure(
structure, "logger_method"
)
event_data.thread = self._GetValueFromStructure(structure, "thread")
event_data.written_time = self._ParseTimeElements(time_elements_structure)
parser_mediator.ProduceEventData(event_data)
def _ParseTimeElements(self, time_elements_structure):
"""Parses date and time elements of a log line.
Args:
time_elements_structure (pyparsing.ParseResults): date and time elements
of a log line.
Returns:
dfdatetime.TimeElements: date and time value.
Raises:
ParseError: if a valid date and time value cannot be derived from
the time elements.
"""
try:
date_time = dfdatetime_time_elements.TimeElementsInMilliseconds(
time_elements_tuple=time_elements_structure
)
date_time.is_local_time = True
return date_time
except (IndexError, TypeError, ValueError) as exception:
raise errors.ParseError(
f"Unable to parse time elements with error: {exception!s}"
)
[docs]
def CheckRequiredFormat(self, parser_mediator, text_reader):
"""Check if the log record has the minimal structure required.
Args:
parser_mediator (ParserMediator): mediates interactions between parsers
and other components, such as storage and dfVFS.
text_reader (EncodedTextReader): text reader.
Returns:
bool: True if this is the correct plugin, False otherwise.
"""
try:
structure = self._VerifyString(text_reader.lines)
except errors.ParseError:
return False
time_elements_structure = self._GetValueFromStructure(structure, "date_time")
try:
self._ParseTimeElements(time_elements_structure)
except errors.ParseError:
return False
return True
text_parser.TextLogParser.RegisterPlugin(AtlassianConfluenceTextPlugin)