lisa.trace.TraceParserBase#
- class lisa.trace.TraceParserBase(*args, **kwargs)[source]#
Bases:
ABC
,Loggable
,PartialInit
Abstract Base Class for trace parsers.
- Parameters:
events – Iterable of events to parse. An empty iterable can be passed, in which case some metadata may still be available. If
_ALL_EVENTS
is passed, the caller may subsequently callparse_all_events()
.events – collections.abc.Iterable(str)
needed_metadata (collections.abc.Iterable(str)) – Set of metadata name to gather in the parser.
The parser will be used as a context manager whenever it is queried for either events dataframes. Querying for metadata could happen immediately after object creation, but without expectation of success. Expensive metadata should only be computed when the object is used as a context manager. Note that the same parser object might be used as a context manager multiple times in its lifetime.
Attention
This class and its base class is not subject to the normal backward compatibility guarantees. It is considered somewhat internal and will be modified if necessary, with backward compatibility being offered on a best-effort basis.
Attributes
Possible metadata keys.
Properties
logger
inheritedConvenience short-hand for
self.get_logger()
.Methods
Collect all available metadata.
Return the metadata value.
Get the unique ID of that parser. Any parameter affecting the output dataframes or metadata must be somehow part of that ID, so that the cache is not accidentally hit with stale data.
Parse all available events.
Parse the given event from the trace and return a
pandas.DataFrame
with the following columns:.Same as
parse_event()
but taking a list of events as input, and returning a mapping of event names topandas.DataFrame
for each.factory()
inheritedDecorator to use on alternative constructors, i.e. classmethods that return instances of the class.
get_logger()
inheritedProvides a
logging.Logger
named aftercls
.log_locals()
inheritedDebugging aid: log the local variables of the calling function.
Attributes#
- TraceParserBase.METADATA_KEYS = ['time-range', 'symbols-address', 'cpus-count', 'available-events', 'trace-id']#
Possible metadata keys
Properties#
- property TraceParserBase.logger#
Inherited property, see
lisa.utils.Loggable.logger
Convenience short-hand for
self.get_logger()
.
Methods#
- TraceParserBase.get_metadata(key)[source]#
Return the metadata value.
- Parameters:
key (str) –
Name of the metadata. Can be one of:
time-range
: tuple(start, end)
of the timestamps in the trace. This must be the first timestamp to appear in the trace, regardless of what events is being parsed. Otherwise, it would be impossible to use the time range of a parser in the motherTraceBase
when requesting specific events.symbols-address
: Dictionnary of address (int) to symbol names in the kernel (str) that was used to create the trace. This allows resolving the fields of events that recorded addresses rather than function names.cpus-count
: Number of CPUs on the system the trace was collected on.available-events
: List of all available events stored in the trace. The list must be exhaustive, not limited to the events that were requested. If an exhaustive list cannot be gathered, this metadata should not be implemented.trace-id
: Unique identifier for that trace file used tovalidate the cache. If not available, a checksum will be used.
- Raises:
MissingMetadataError
if the metadata is not available on that parser.
Note
A given metadata can only be expected to be available if asked for in the constructor, but bear in mind that there is no promise on the availability of any except for the following that must be provided if asked for:
time-range
Metadata may still be made available if not asked for, but only if it’s a very cheap byproduct of parsing that incurs no extra cost.
- TraceParserBase.get_parser_id()[source]#
Get the unique ID of that parser. Any parameter affecting the output dataframes or metadata must be somehow part of that ID, so that the cache is not accidentally hit with stale data.
- TraceParserBase.parse_all_events()[source]#
Parse all available events.
Note
A parser that does not support querying the
available-events
metadata may raise an exception. This might also lead to multilple scans of the trace in some implementations.
- abstract TraceParserBase.parse_event(event)[source]#
Parse the given event from the trace and return a
pandas.DataFrame
with the following columns:Time
index: floating point absolute timestamp in seconds. The index must not have any duplicated values.One column per event field, with the appropriate dtype.
Columns prefixed with
__
: Header of each event, usually containing the following fields:__cpu
: CPU number the event was emitted from__pid
: PID of the current process scheduled at the time the event was emitted__comm
: Task command name going with__pid
at the point the event was emitted
- Parameters:
event (str) – name of the event to parse
- Raises:
MissingTraceEventError – If the event cannot be parsed.
Note
The caller is free to modify the index of the data, and it must not affect other dataframes.
- TraceParserBase.parse_events(events, best_effort=False, **kwargs)[source]#
Same as
parse_event()
but taking a list of events as input, and returning a mapping of event names topandas.DataFrame
for each.- Parameters:
best_effort (bool) – If
True
, do not raiseMissingTraceEventError
, silently skip the event. Must default toFalse
.
- Variable keyword arguments:
Forwarded to
parse_event()
- classmethod TraceParserBase.factory(f)#
Inherited method, see
lisa.utils.PartialInit.factory()
Decorator to use on alternative constructors, i.e. classmethods that return instances of the class.
- classmethod TraceParserBase.get_logger(suffix=None)#
Inherited method, see
lisa.utils.Loggable.get_logger()
Provides a
logging.Logger
named aftercls
.
- classmethod TraceParserBase.log_locals(var_names=None, level='debug')#
Inherited method, see
lisa.utils.Loggable.log_locals()
Debugging aid: log the local variables of the calling function.