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train | GetRawDevice | Resolve the raw device that contains the path. | grr/client/grr_response_client/client_utils_osx.py | def GetRawDevice(path):
"""Resolve the raw device that contains the path."""
device_map = GetMountpoints()
path = utils.SmartUnicode(path)
mount_point = path = utils.NormalizePath(path, "/")
result = rdf_paths.PathSpec(pathtype=rdf_paths.PathSpec.PathType.OS)
# Assign the most specific mount point to the... | def GetRawDevice(path):
"""Resolve the raw device that contains the path."""
device_map = GetMountpoints()
path = utils.SmartUnicode(path)
mount_point = path = utils.NormalizePath(path, "/")
result = rdf_paths.PathSpec(pathtype=rdf_paths.PathSpec.PathType.OS)
# Assign the most specific mount point to the... | [
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train | InstallDriver | Calls into the IOKit to load a kext by file-system path.
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KextManager_header_reference/Reference/reference.html
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OSError: On fai... | grr/client/grr_response_client/client_utils_osx.py | def InstallDriver(kext_path):
"""Calls into the IOKit to load a kext by file-system path.
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http://developer.apple.com/library/mac/#documentation/IOKit/Reference/
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train | UninstallDriver | Calls into the IOKit to unload a kext by its name.
Args:
bundle_name: The bundle identifier of the kernel extension as defined in
Info.plist field CFBundleIdentifier.
Returns:
The error code from the library call. objc.OS_SUCCESS if successfull. | grr/client/grr_response_client/client_utils_osx.py | def UninstallDriver(bundle_name):
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bundle_name: The bundle identifier of the kernel extension as defined in
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train | _ValidatePathInfos | Validates a sequence of path infos. | grr/server/grr_response_server/databases/db.py | def _ValidatePathInfos(path_infos):
"""Validates a sequence of path infos."""
precondition.AssertIterableType(path_infos, rdf_objects.PathInfo)
validated = set()
for path_info in path_infos:
_ValidatePathInfo(path_info)
path_key = (path_info.path_type, path_info.GetPathID())
if path_key in validat... | def _ValidatePathInfos(path_infos):
"""Validates a sequence of path infos."""
precondition.AssertIterableType(path_infos, rdf_objects.PathInfo)
validated = set()
for path_info in path_infos:
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train | _ValidateTimeRange | Parses a timerange argument and always returns non-None timerange. | grr/server/grr_response_server/databases/db.py | def _ValidateTimeRange(timerange):
"""Parses a timerange argument and always returns non-None timerange."""
if len(timerange) != 2:
raise ValueError("Timerange should be a sequence with 2 items.")
(start, end) = timerange
precondition.AssertOptionalType(start, rdfvalue.RDFDatetime)
precondition.AssertOpt... | def _ValidateTimeRange(timerange):
"""Parses a timerange argument and always returns non-None timerange."""
if len(timerange) != 2:
raise ValueError("Timerange should be a sequence with 2 items.")
(start, end) = timerange
precondition.AssertOptionalType(start, rdfvalue.RDFDatetime)
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train | _ValidateClosedTimeRange | Checks that a time-range has both start and end timestamps set. | grr/server/grr_response_server/databases/db.py | def _ValidateClosedTimeRange(time_range):
"""Checks that a time-range has both start and end timestamps set."""
time_range_start, time_range_end = time_range
_ValidateTimestamp(time_range_start)
_ValidateTimestamp(time_range_end)
if time_range_start > time_range_end:
raise ValueError("Invalid time-range: ... | def _ValidateClosedTimeRange(time_range):
"""Checks that a time-range has both start and end timestamps set."""
time_range_start, time_range_end = time_range
_ValidateTimestamp(time_range_start)
_ValidateTimestamp(time_range_end)
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train | Database.WriteClientMetadata | Write metadata about the client.
Updates one or more client metadata fields for the given client_id. Any of
the data fields can be left as None, and in this case are not changed.
Args:
client_id: A GRR client id string, e.g. "C.ea3b2b71840d6fa7".
certificate: If set, should be an rdfvalues.cry... | grr/server/grr_response_server/databases/db.py | def WriteClientMetadata(self,
client_id,
certificate=None,
fleetspeak_enabled=None,
first_seen=None,
last_ping=None,
last_clock=None,
last... | def WriteClientMetadata(self,
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certificate=None,
fleetspeak_enabled=None,
first_seen=None,
last_ping=None,
last_clock=None,
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train | Database.ReadClientMetadata | Reads the ClientMetadata record for a single client.
Args:
client_id: A GRR client id string, e.g. "C.ea3b2b71840d6fa7".
Returns:
An rdfvalues.object.ClientMetadata object.
Raises:
UnknownClientError: if no client with corresponding id was found. | grr/server/grr_response_server/databases/db.py | def ReadClientMetadata(self, client_id):
"""Reads the ClientMetadata record for a single client.
Args:
client_id: A GRR client id string, e.g. "C.ea3b2b71840d6fa7".
Returns:
An rdfvalues.object.ClientMetadata object.
Raises:
UnknownClientError: if no client with corresponding id was... | def ReadClientMetadata(self, client_id):
"""Reads the ClientMetadata record for a single client.
Args:
client_id: A GRR client id string, e.g. "C.ea3b2b71840d6fa7".
Returns:
An rdfvalues.object.ClientMetadata object.
Raises:
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train | Database.ReadClientFullInfo | Reads full client information for a single client.
Args:
client_id: A GRR client id string, e.g. "C.ea3b2b71840d6fa7".
Returns:
A `ClientFullInfo` instance for given client.
Raises:
UnknownClientError: if no client with such id was found. | grr/server/grr_response_server/databases/db.py | def ReadClientFullInfo(self, client_id):
"""Reads full client information for a single client.
Args:
client_id: A GRR client id string, e.g. "C.ea3b2b71840d6fa7".
Returns:
A `ClientFullInfo` instance for given client.
Raises:
UnknownClientError: if no client with such id was found.
... | def ReadClientFullInfo(self, client_id):
"""Reads full client information for a single client.
Args:
client_id: A GRR client id string, e.g. "C.ea3b2b71840d6fa7".
Returns:
A `ClientFullInfo` instance for given client.
Raises:
UnknownClientError: if no client with such id was found.
... | [
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train | Database.IterateAllClientsFullInfo | Iterates over all available clients and yields full info protobufs.
Args:
min_last_ping: If not None, only the clients with last-ping timestamps
newer than (or equal to) min_last_ping will be returned.
batch_size: Always reads <batch_size> client full infos at a time.
Yields:
An rdfv... | grr/server/grr_response_server/databases/db.py | def IterateAllClientsFullInfo(self, min_last_ping=None, batch_size=50000):
"""Iterates over all available clients and yields full info protobufs.
Args:
min_last_ping: If not None, only the clients with last-ping timestamps
newer than (or equal to) min_last_ping will be returned.
batch_size:... | def IterateAllClientsFullInfo(self, min_last_ping=None, batch_size=50000):
"""Iterates over all available clients and yields full info protobufs.
Args:
min_last_ping: If not None, only the clients with last-ping timestamps
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train | Database.IterateAllClientSnapshots | Iterates over all available clients and yields client snapshot objects.
Args:
min_last_ping: If provided, only snapshots for clients with last-ping
timestamps newer than (or equal to) the given value will be returned.
batch_size: Always reads <batch_size> snapshots at a time.
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... | grr/server/grr_response_server/databases/db.py | def IterateAllClientSnapshots(self, min_last_ping=None, batch_size=50000):
"""Iterates over all available clients and yields client snapshot objects.
Args:
min_last_ping: If provided, only snapshots for clients with last-ping
timestamps newer than (or equal to) the given value will be returned.
... | def IterateAllClientSnapshots(self, min_last_ping=None, batch_size=50000):
"""Iterates over all available clients and yields client snapshot objects.
Args:
min_last_ping: If provided, only snapshots for clients with last-ping
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train | Database.ListChildPathInfos | Lists path info records that correspond to children of given path.
Args:
client_id: An identifier string for a client.
path_type: A type of a path to retrieve path information for.
components: A tuple of path components of a path to retrieve child path
information for.
timestamp: If... | grr/server/grr_response_server/databases/db.py | def ListChildPathInfos(self, client_id, path_type, components,
timestamp=None):
"""Lists path info records that correspond to children of given path.
Args:
client_id: An identifier string for a client.
path_type: A type of a path to retrieve path information for.
comp... | def ListChildPathInfos(self, client_id, path_type, components,
timestamp=None):
"""Lists path info records that correspond to children of given path.
Args:
client_id: An identifier string for a client.
path_type: A type of a path to retrieve path information for.
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train | Database.InitPathInfos | Initializes a collection of path info records for a client.
Unlike `WritePathInfo`, this method clears stat and hash histories of paths
associated with path info records. This method is intended to be used only
in the data migration scripts.
Args:
client_id: A client identifier for which the pat... | grr/server/grr_response_server/databases/db.py | def InitPathInfos(self, client_id, path_infos):
"""Initializes a collection of path info records for a client.
Unlike `WritePathInfo`, this method clears stat and hash histories of paths
associated with path info records. This method is intended to be used only
in the data migration scripts.
Args:... | def InitPathInfos(self, client_id, path_infos):
"""Initializes a collection of path info records for a client.
Unlike `WritePathInfo`, this method clears stat and hash histories of paths
associated with path info records. This method is intended to be used only
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train | Database.WritePathStatHistory | Writes a collection of `StatEntry` observed for particular path.
Args:
client_path: A `ClientPath` instance.
stat_entries: A dictionary with timestamps as keys and `StatEntry`
instances as values. | grr/server/grr_response_server/databases/db.py | def WritePathStatHistory(self, client_path, stat_entries):
"""Writes a collection of `StatEntry` observed for particular path.
Args:
client_path: A `ClientPath` instance.
stat_entries: A dictionary with timestamps as keys and `StatEntry`
instances as values.
"""
client_path_history ... | def WritePathStatHistory(self, client_path, stat_entries):
"""Writes a collection of `StatEntry` observed for particular path.
Args:
client_path: A `ClientPath` instance.
stat_entries: A dictionary with timestamps as keys and `StatEntry`
instances as values.
"""
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train | Database.WritePathHashHistory | Writes a collection of `Hash` observed for particular path.
Args:
client_path: A `ClientPath` instance.
hash_entries: A dictionary with timestamps as keys and `Hash` instances as
values. | grr/server/grr_response_server/databases/db.py | def WritePathHashHistory(self, client_path, hash_entries):
"""Writes a collection of `Hash` observed for particular path.
Args:
client_path: A `ClientPath` instance.
hash_entries: A dictionary with timestamps as keys and `Hash` instances as
values.
"""
client_path_history = ClientPa... | def WritePathHashHistory(self, client_path, hash_entries):
"""Writes a collection of `Hash` observed for particular path.
Args:
client_path: A `ClientPath` instance.
hash_entries: A dictionary with timestamps as keys and `Hash` instances as
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"""
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train | Database.ReadPathInfoHistory | Reads a collection of hash and stat entry for given path.
Args:
client_id: An identifier string for a client.
path_type: A type of a path to retrieve path history for.
components: A tuple of path components corresponding to path to retrieve
information for.
Returns:
A list of `... | grr/server/grr_response_server/databases/db.py | def ReadPathInfoHistory(self, client_id, path_type, components):
"""Reads a collection of hash and stat entry for given path.
Args:
client_id: An identifier string for a client.
path_type: A type of a path to retrieve path history for.
components: A tuple of path components corresponding to p... | def ReadPathInfoHistory(self, client_id, path_type, components):
"""Reads a collection of hash and stat entry for given path.
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client_id: An identifier string for a client.
path_type: A type of a path to retrieve path history for.
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train | Database.UpdateCronJob | Updates run information for an existing cron job.
Args:
cronjob_id: The id of the cron job to update.
last_run_status: A CronJobRunStatus object.
last_run_time: The last time a run was started for this cron job.
current_run_id: The id of the currently active run.
state: The state dict... | grr/server/grr_response_server/databases/db.py | def UpdateCronJob(self,
cronjob_id,
last_run_status=unchanged,
last_run_time=unchanged,
current_run_id=unchanged,
state=unchanged,
forced_run_requested=unchanged):
"""Updates run information for a... | def UpdateCronJob(self,
cronjob_id,
last_run_status=unchanged,
last_run_time=unchanged,
current_run_id=unchanged,
state=unchanged,
forced_run_requested=unchanged):
"""Updates run information for a... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/databases/db.py#L1707-L1727 | [
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train | Database.UpdateFlow | Updates flow objects in the database.
Args:
client_id: The client id on which this flow is running.
flow_id: The id of the flow to update.
flow_obj: An updated rdf_flow_objects.Flow object.
flow_state: An update rdf_flow_objects.Flow.FlowState value.
client_crash_info: A rdf_client.Cl... | grr/server/grr_response_server/databases/db.py | def UpdateFlow(self,
client_id,
flow_id,
flow_obj=unchanged,
flow_state=unchanged,
client_crash_info=unchanged,
pending_termination=unchanged,
processing_on=unchanged,
processing_since... | def UpdateFlow(self,
client_id,
flow_id,
flow_obj=unchanged,
flow_state=unchanged,
client_crash_info=unchanged,
pending_termination=unchanged,
processing_on=unchanged,
processing_since... | [
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train | Database.UpdateHuntObject | Updates the hunt object by applying the update function.
Each keyword argument when set to None, means that that corresponding value
shouldn't be updated.
Args:
hunt_id: Id of the hunt to be updated.
duration: A maximum allowed running time duration of the flow.
client_rate: Number corre... | grr/server/grr_response_server/databases/db.py | def UpdateHuntObject(self,
hunt_id,
duration=None,
client_rate=None,
client_limit=None,
hunt_state=None,
hunt_state_comment=None,
start_time=None,
... | def UpdateHuntObject(self,
hunt_id,
duration=None,
client_rate=None,
client_limit=None,
hunt_state=None,
hunt_state_comment=None,
start_time=None,
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train | DatabaseValidationWrapper.UpdateHuntObject | Updates the hunt object by applying the update function. | grr/server/grr_response_server/databases/db.py | def UpdateHuntObject(self,
hunt_id,
duration=None,
client_rate=None,
client_limit=None,
hunt_state=None,
hunt_state_comment=None,
start_time=None,
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client_rate=None,
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hunt_state=None,
hunt_state_comment=None,
start_time=None,
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train | _WorkerThread.ProcessTask | Processes the tasks. | grr/server/grr_response_server/threadpool.py | def ProcessTask(self, target, args, name, queueing_time):
"""Processes the tasks."""
if self.pool.name:
time_in_queue = time.time() - queueing_time
stats_collector_instance.Get().RecordEvent(
_QUEUEING_TIME_METRIC, time_in_queue, fields=[self.pool.name])
start_time = time.time()
... | def ProcessTask(self, target, args, name, queueing_time):
"""Processes the tasks."""
if self.pool.name:
time_in_queue = time.time() - queueing_time
stats_collector_instance.Get().RecordEvent(
_QUEUEING_TIME_METRIC, time_in_queue, fields=[self.pool.name])
start_time = time.time()
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train | _WorkerThread._RemoveFromPool | Remove ourselves from the pool.
Returns:
True if removal was possible, and False if it was not possible. | grr/server/grr_response_server/threadpool.py | def _RemoveFromPool(self):
"""Remove ourselves from the pool.
Returns:
True if removal was possible, and False if it was not possible.
"""
with self.pool.lock:
# Pool is shutting down, we can't interfere.
if not self.pool.started:
return False
# Keep a minimum number o... | def _RemoveFromPool(self):
"""Remove ourselves from the pool.
Returns:
True if removal was possible, and False if it was not possible.
"""
with self.pool.lock:
# Pool is shutting down, we can't interfere.
if not self.pool.started:
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train | _WorkerThread.run | This overrides the Thread.run method.
This method checks in an endless loop if new tasks are available
in the queue and processes them. | grr/server/grr_response_server/threadpool.py | def run(self):
"""This overrides the Thread.run method.
This method checks in an endless loop if new tasks are available
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"""
while True:
if self.pool.name:
self.idle = True
try:
# Wait 60 seconds for a message, otherwise exit. This ensur... | def run(self):
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"""
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train | ThreadPool.Factory | Creates a new thread pool with the given name.
If the thread pool of this name already exist, we just return the existing
one. This allows us to have different pools with different characteristics
used by different parts of the code, at the same time.
Args:
name: The name of the required pool.
... | grr/server/grr_response_server/threadpool.py | def Factory(cls, name, min_threads, max_threads=None):
"""Creates a new thread pool with the given name.
If the thread pool of this name already exist, we just return the existing
one. This allows us to have different pools with different characteristics
used by different parts of the code, at the same... | def Factory(cls, name, min_threads, max_threads=None):
"""Creates a new thread pool with the given name.
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one. This allows us to have different pools with different characteristics
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train | ThreadPool.Start | This starts the worker threads. | grr/server/grr_response_server/threadpool.py | def Start(self):
"""This starts the worker threads."""
if not self.started:
self.started = True
for _ in range(self.min_threads):
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"""This starts the worker threads."""
if not self.started:
self.started = True
for _ in range(self.min_threads):
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train | ThreadPool.Stop | This stops all the worker threads. | grr/server/grr_response_server/threadpool.py | def Stop(self, join_timeout=600):
"""This stops all the worker threads."""
if not self.started:
logging.warning("Tried to stop a thread pool that was not running.")
return
# Remove all workers from the pool.
workers = list(itervalues(self._workers))
self._workers = {}
self._workers_... | def Stop(self, join_timeout=600):
"""This stops all the worker threads."""
if not self.started:
logging.warning("Tried to stop a thread pool that was not running.")
return
# Remove all workers from the pool.
workers = list(itervalues(self._workers))
self._workers = {}
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train | ThreadPool.AddTask | Adds a task to be processed later.
Args:
target: A callable which should be processed by one of the workers.
args: A tuple of arguments to target.
name: The name of this task. Used to identify tasks in the log.
blocking: If True we block until the task is finished, otherwise we raise
... | grr/server/grr_response_server/threadpool.py | def AddTask(self,
target,
args=(),
name="Unnamed task",
blocking=True,
inline=True):
"""Adds a task to be processed later.
Args:
target: A callable which should be processed by one of the workers.
args: A tuple of arguments to ta... | def AddTask(self,
target,
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name="Unnamed task",
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inline=True):
"""Adds a task to be processed later.
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target: A callable which should be processed by one of the workers.
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train | ThreadPool.Join | Waits until all outstanding tasks are completed. | grr/server/grr_response_server/threadpool.py | def Join(self):
"""Waits until all outstanding tasks are completed."""
for _ in range(self.JOIN_TIMEOUT_DECISECONDS):
if self._queue.empty() and not self.busy_threads:
return
time.sleep(0.1)
raise ValueError("Timeout during Join() for threadpool %s." % self.name) | def Join(self):
"""Waits until all outstanding tasks are completed."""
for _ in range(self.JOIN_TIMEOUT_DECISECONDS):
if self._queue.empty() and not self.busy_threads:
return
time.sleep(0.1)
raise ValueError("Timeout during Join() for threadpool %s." % self.name) | [
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train | BatchConverter.Convert | Converts given collection to exported values.
This method uses a threadpool to do the conversion in parallel. It
blocks for up to one hour until everything is converted.
Args:
values: Iterable object with values to convert.
start_index: Start from this index in the collection.
end_index:... | grr/server/grr_response_server/threadpool.py | def Convert(self, values, start_index=0, end_index=None):
"""Converts given collection to exported values.
This method uses a threadpool to do the conversion in parallel. It
blocks for up to one hour until everything is converted.
Args:
values: Iterable object with values to convert.
start... | def Convert(self, values, start_index=0, end_index=None):
"""Converts given collection to exported values.
This method uses a threadpool to do the conversion in parallel. It
blocks for up to one hour until everything is converted.
Args:
values: Iterable object with values to convert.
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train | SpawnProcess | Spawns a process. | grr/client_builder/grr_response_client_builder/client_build.py | def SpawnProcess(popen_args, passwd=None):
"""Spawns a process."""
if passwd is not None:
# We send the password via pipe to avoid creating a process with the
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train | GetClientConfig | Write client config to filename. | grr/client_builder/grr_response_client_builder/client_build.py | def GetClientConfig(filename):
"""Write client config to filename."""
config_lib.SetPlatformArchContext()
config_lib.ParseConfigCommandLine()
context = list(grr_config.CONFIG.context)
context.append("Client Context")
deployer = build.ClientRepacker()
# Disable timestamping so we can get a reproducible and... | def GetClientConfig(filename):
"""Write client config to filename."""
config_lib.SetPlatformArchContext()
config_lib.ParseConfigCommandLine()
context = list(grr_config.CONFIG.context)
context.append("Client Context")
deployer = build.ClientRepacker()
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train | main | Launch the appropriate builder. | grr/client_builder/grr_response_client_builder/client_build.py | def main(args):
"""Launch the appropriate builder."""
grr_config.CONFIG.AddContext(contexts.CLIENT_BUILD_CONTEXT)
if args.subparser_name == "generate_client_config":
# We don't need a full init to just build a config.
GetClientConfig(args.client_config_output)
return
# TODO(user): Find out if add... | def main(args):
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GetClientConfig(args.client_config_output)
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train | TemplateBuilder.GetBuilder | Get instance of builder class based on flags. | grr/client_builder/grr_response_client_builder/client_build.py | def GetBuilder(self, context, fleetspeak_service_config):
"""Get instance of builder class based on flags."""
try:
if "Target:Darwin" in context:
return builders.DarwinClientBuilder(
context=context,
fleetspeak_service_config=fleetspeak_service_config)
elif "Target:Wi... | def GetBuilder(self, context, fleetspeak_service_config):
"""Get instance of builder class based on flags."""
try:
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return builders.DarwinClientBuilder(
context=context,
fleetspeak_service_config=fleetspeak_service_config)
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train | TemplateBuilder.BuildTemplate | Find template builder and call it. | grr/client_builder/grr_response_client_builder/client_build.py | def BuildTemplate(self,
context=None,
output=None,
fleetspeak_service_config=None):
"""Find template builder and call it."""
context = context or []
context.append("Arch:%s" % self.GetArch())
# Platform context has common platform settings, Tar... | def BuildTemplate(self,
context=None,
output=None,
fleetspeak_service_config=None):
"""Find template builder and call it."""
context = context or []
context.append("Arch:%s" % self.GetArch())
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train | MultiTemplateRepacker.GetOutputDir | Add the repack config filename onto the base output directory.
This allows us to repack lots of different configs to the same installer
name and still be able to distinguish them.
Args:
base_dir: output directory string
config_filename: the secondary config filename string
Returns:
... | grr/client_builder/grr_response_client_builder/client_build.py | def GetOutputDir(self, base_dir, config_filename):
"""Add the repack config filename onto the base output directory.
This allows us to repack lots of different configs to the same installer
name and still be able to distinguish them.
Args:
base_dir: output directory string
config_filename:... | def GetOutputDir(self, base_dir, config_filename):
"""Add the repack config filename onto the base output directory.
This allows us to repack lots of different configs to the same installer
name and still be able to distinguish them.
Args:
base_dir: output directory string
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train | MultiTemplateRepacker.RepackTemplates | Call repacker in a subprocess. | grr/client_builder/grr_response_client_builder/client_build.py | def RepackTemplates(self,
repack_configs,
templates,
output_dir,
config=None,
sign=False,
signed_template=False):
"""Call repacker in a subprocess."""
pool = multiprocessing.Pool(p... | def RepackTemplates(self,
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templates,
output_dir,
config=None,
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signed_template=False):
"""Call repacker in a subprocess."""
pool = multiprocessing.Pool(p... | [
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train | ClientInit | Run all startup routines for the client. | grr/client/grr_response_client/client_startup.py | def ClientInit():
"""Run all startup routines for the client."""
metric_metadata = client_metrics.GetMetadata()
metric_metadata.extend(communicator.GetMetricMetadata())
stats_collector_instance.Set(
default_stats_collector.DefaultStatsCollector(metric_metadata))
config_lib.SetPlatformArchContext()
co... | def ClientInit():
"""Run all startup routines for the client."""
metric_metadata = client_metrics.GetMetadata()
metric_metadata.extend(communicator.GetMetricMetadata())
stats_collector_instance.Set(
default_stats_collector.DefaultStatsCollector(metric_metadata))
config_lib.SetPlatformArchContext()
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train | SysctlCmdParser.Parse | Parse the sysctl output. | grr/core/grr_response_core/lib/parsers/linux_sysctl_parser.py | def Parse(self, cmd, args, stdout, stderr, return_val, time_taken,
knowledge_base):
"""Parse the sysctl output."""
_ = stderr, time_taken, args, knowledge_base # Unused.
self.CheckReturn(cmd, return_val)
result = rdf_protodict.AttributedDict()
# The KeyValueParser generates an ordered d... | def Parse(self, cmd, args, stdout, stderr, return_val, time_taken,
knowledge_base):
"""Parse the sysctl output."""
_ = stderr, time_taken, args, knowledge_base # Unused.
self.CheckReturn(cmd, return_val)
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# The KeyValueParser generates an ordered d... | [
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train | CurrentControlSetKBParser.Parse | Parse the key currentcontrolset output. | grr/core/grr_response_core/lib/parsers/windows_registry_parser.py | def Parse(self, stat, unused_knowledge_base):
"""Parse the key currentcontrolset output."""
value = stat.registry_data.GetValue()
if not str(value).isdigit() or int(value) > 999 or int(value) < 0:
raise parser.ParseError(
"Invalid value for CurrentControlSet key %s" % value)
yield rdfva... | def Parse(self, stat, unused_knowledge_base):
"""Parse the key currentcontrolset output."""
value = stat.registry_data.GetValue()
if not str(value).isdigit() or int(value) > 999 or int(value) < 0:
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train | WinEnvironmentParser.Parse | Expand any variables in the value. | grr/core/grr_response_core/lib/parsers/windows_registry_parser.py | def Parse(self, stat, knowledge_base):
"""Expand any variables in the value."""
value = stat.registry_data.GetValue()
if not value:
raise parser.ParseError("Invalid value for key %s" % stat.pathspec.path)
value = artifact_utils.ExpandWindowsEnvironmentVariables(
value, knowledge_base)
... | def Parse(self, stat, knowledge_base):
"""Expand any variables in the value."""
value = stat.registry_data.GetValue()
if not value:
raise parser.ParseError("Invalid value for key %s" % stat.pathspec.path)
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value, knowledge_base)
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train | WinSystemDriveParser.Parse | Parses a SystemDrive environment variable. | grr/core/grr_response_core/lib/parsers/windows_registry_parser.py | def Parse(self, stat, _):
"""Parses a SystemDrive environment variable."""
if isinstance(stat, rdf_client_fs.StatEntry):
value = stat.registry_data.GetValue()
elif isinstance(stat, rdfvalue.RDFString):
value = stat
if not value:
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value = stat.registry_data.GetValue()
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train | WinUserSids.Parse | Parse each returned registry value. | grr/core/grr_response_core/lib/parsers/windows_registry_parser.py | def Parse(self, stat, knowledge_base):
"""Parse each returned registry value."""
_ = knowledge_base # Unused.
sid_str = stat.pathspec.Dirname().Basename()
if SID_RE.match(sid_str):
kb_user = rdf_client.User()
kb_user.sid = sid_str
if stat.pathspec.Basename() == "ProfileImagePath":
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"""Parse each returned registry value."""
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sid_str = stat.pathspec.Dirname().Basename()
if SID_RE.match(sid_str):
kb_user = rdf_client.User()
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train | WinUserSpecialDirs.ParseMultiple | Parse each returned registry value. | grr/core/grr_response_core/lib/parsers/windows_registry_parser.py | def ParseMultiple(self, stats, knowledge_base):
"""Parse each returned registry value."""
user_dict = {}
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if SID_RE.match(sid_str):
if sid_str not in user_dict:
user_dict[sid_str] = rdf_client.User(sid=sid_str)
... | def ParseMultiple(self, stats, knowledge_base):
"""Parse each returned registry value."""
user_dict = {}
for stat in stats:
sid_str = stat.pathspec.path.split("/", 3)[2]
if SID_RE.match(sid_str):
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user_dict[sid_str] = rdf_client.User(sid=sid_str)
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train | WinServicesParser.ParseMultiple | Parse Service registry keys and return WindowsServiceInformation. | grr/core/grr_response_core/lib/parsers/windows_registry_parser.py | def ParseMultiple(self, stats, knowledge_base):
"""Parse Service registry keys and return WindowsServiceInformation."""
_ = knowledge_base
services = {}
field_map = {
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train | WinTimezoneParser.Parse | Convert the timezone to Olson format. | grr/core/grr_response_core/lib/parsers/windows_registry_parser.py | def Parse(self, stat, knowledge_base):
"""Convert the timezone to Olson format."""
_ = knowledge_base
value = stat.registry_data.GetValue()
result = ZONE_LIST.get(value.strip())
if not result:
yield rdfvalue.RDFString("Unknown (%s)" % value.strip())
yield rdfvalue.RDFString(result) | def Parse(self, stat, knowledge_base):
"""Convert the timezone to Olson format."""
_ = knowledge_base
value = stat.registry_data.GetValue()
result = ZONE_LIST.get(value.strip())
if not result:
yield rdfvalue.RDFString("Unknown (%s)" % value.strip())
yield rdfvalue.RDFString(result) | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/core/grr_response_core/lib/parsers/windows_registry_parser.py#L344-L352 | [
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train | _ResponseToApprovalsWithGrants | Converts a generator with approval rows into ApprovalRequest objects. | grr/server/grr_response_server/databases/mysql_users.py | def _ResponseToApprovalsWithGrants(response):
"""Converts a generator with approval rows into ApprovalRequest objects."""
prev_triplet = None
cur_approval_request = None
for (approval_id_int, approval_timestamp, approval_request_bytes,
grantor_username, grant_timestamp) in response:
cur_triplet = (a... | def _ResponseToApprovalsWithGrants(response):
"""Converts a generator with approval rows into ApprovalRequest objects."""
prev_triplet = None
cur_approval_request = None
for (approval_id_int, approval_timestamp, approval_request_bytes,
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train | MySQLDBUsersMixin.WriteGRRUser | Writes user object for a user with a given name. | grr/server/grr_response_server/databases/mysql_users.py | def WriteGRRUser(self,
username,
password=None,
ui_mode=None,
canary_mode=None,
user_type=None,
cursor=None):
"""Writes user object for a user with a given name."""
values = {"username": username, ... | def WriteGRRUser(self,
username,
password=None,
ui_mode=None,
canary_mode=None,
user_type=None,
cursor=None):
"""Writes user object for a user with a given name."""
values = {"username": username, ... | [
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train | MySQLDBUsersMixin._RowToGRRUser | Creates a GRR user object from a database result row. | grr/server/grr_response_server/databases/mysql_users.py | def _RowToGRRUser(self, row):
"""Creates a GRR user object from a database result row."""
username, password, ui_mode, canary_mode, user_type = row
result = rdf_objects.GRRUser(
username=username,
ui_mode=ui_mode,
canary_mode=canary_mode,
user_type=user_type)
if password... | def _RowToGRRUser(self, row):
"""Creates a GRR user object from a database result row."""
username, password, ui_mode, canary_mode, user_type = row
result = rdf_objects.GRRUser(
username=username,
ui_mode=ui_mode,
canary_mode=canary_mode,
user_type=user_type)
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/databases/mysql_users.py#L91-L103 | [
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train | MySQLDBUsersMixin.ReadGRRUser | Reads a user object corresponding to a given name. | grr/server/grr_response_server/databases/mysql_users.py | def ReadGRRUser(self, username, cursor=None):
"""Reads a user object corresponding to a given name."""
cursor.execute(
"SELECT username, password, ui_mode, canary_mode, user_type "
"FROM grr_users WHERE username_hash = %s", [mysql_utils.Hash(username)])
row = cursor.fetchone()
if row is... | def ReadGRRUser(self, username, cursor=None):
"""Reads a user object corresponding to a given name."""
cursor.execute(
"SELECT username, password, ui_mode, canary_mode, user_type "
"FROM grr_users WHERE username_hash = %s", [mysql_utils.Hash(username)])
row = cursor.fetchone()
if row is... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/databases/mysql_users.py#L106-L116 | [
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train | MySQLDBUsersMixin.ReadGRRUsers | Reads GRR users with optional pagination, sorted by username. | grr/server/grr_response_server/databases/mysql_users.py | def ReadGRRUsers(self, offset=0, count=None, cursor=None):
"""Reads GRR users with optional pagination, sorted by username."""
if count is None:
count = 18446744073709551615 # 2^64-1, as suggested by MySQL docs
cursor.execute(
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... | def ReadGRRUsers(self, offset=0, count=None, cursor=None):
"""Reads GRR users with optional pagination, sorted by username."""
if count is None:
count = 18446744073709551615 # 2^64-1, as suggested by MySQL docs
cursor.execute(
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train | MySQLDBUsersMixin.DeleteGRRUser | Deletes the user and all related metadata with the given username. | grr/server/grr_response_server/databases/mysql_users.py | def DeleteGRRUser(self, username, cursor=None):
"""Deletes the user and all related metadata with the given username."""
cursor.execute("DELETE FROM grr_users WHERE username_hash = %s",
(mysql_utils.Hash(username),))
if cursor.rowcount == 0:
raise db.UnknownGRRUserError(username) | def DeleteGRRUser(self, username, cursor=None):
"""Deletes the user and all related metadata with the given username."""
cursor.execute("DELETE FROM grr_users WHERE username_hash = %s",
(mysql_utils.Hash(username),))
if cursor.rowcount == 0:
raise db.UnknownGRRUserError(username) | [
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train | MySQLDBUsersMixin.WriteApprovalRequest | Writes an approval request object. | grr/server/grr_response_server/databases/mysql_users.py | def WriteApprovalRequest(self, approval_request, cursor=None):
"""Writes an approval request object."""
# Copy the approval_request to ensure we don't modify the source object.
approval_request = approval_request.Copy()
# Generate random approval id.
approval_id_int = random.UInt64()
grants = a... | def WriteApprovalRequest(self, approval_request, cursor=None):
"""Writes an approval request object."""
# Copy the approval_request to ensure we don't modify the source object.
approval_request = approval_request.Copy()
# Generate random approval id.
approval_id_int = random.UInt64()
grants = a... | [
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train | MySQLDBUsersMixin._GrantApproval | Grants approval for a given request. | grr/server/grr_response_server/databases/mysql_users.py | def _GrantApproval(self, requestor_username, approval_id, grantor_username,
cursor):
"""Grants approval for a given request."""
grant_args = {
"username_hash": mysql_utils.Hash(requestor_username),
"approval_id": approval_id,
"grantor_username_hash": mysql_utils.Hash... | def _GrantApproval(self, requestor_username, approval_id, grantor_username,
cursor):
"""Grants approval for a given request."""
grant_args = {
"username_hash": mysql_utils.Hash(requestor_username),
"approval_id": approval_id,
"grantor_username_hash": mysql_utils.Hash... | [
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train | MySQLDBUsersMixin.GrantApproval | Grants approval for a given request using given username. | grr/server/grr_response_server/databases/mysql_users.py | def GrantApproval(self,
requestor_username,
approval_id,
grantor_username,
cursor=None):
"""Grants approval for a given request using given username."""
self._GrantApproval(
requestor_username, _ApprovalIDToInt(approval_id),... | def GrantApproval(self,
requestor_username,
approval_id,
grantor_username,
cursor=None):
"""Grants approval for a given request using given username."""
self._GrantApproval(
requestor_username, _ApprovalIDToInt(approval_id),... | [
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train | MySQLDBUsersMixin.ReadApprovalRequest | Reads an approval request object with a given id. | grr/server/grr_response_server/databases/mysql_users.py | def ReadApprovalRequest(self, requestor_username, approval_id, cursor=None):
"""Reads an approval request object with a given id."""
query = ("""
SELECT
ar.approval_id,
UNIX_TIMESTAMP(ar.timestamp),
ar.approval_request,
u.username,
UNIX_TIMEST... | def ReadApprovalRequest(self, requestor_username, approval_id, cursor=None):
"""Reads an approval request object with a given id."""
query = ("""
SELECT
ar.approval_id,
UNIX_TIMESTAMP(ar.timestamp),
ar.approval_request,
u.username,
UNIX_TIMEST... | [
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train | MySQLDBUsersMixin.ReadApprovalRequests | Reads approval requests of a given type for a given user. | grr/server/grr_response_server/databases/mysql_users.py | def ReadApprovalRequests(self,
requestor_username,
approval_type,
subject_id=None,
include_expired=False,
cursor=None):
"""Reads approval requests of a given type for a given user."... | def ReadApprovalRequests(self,
requestor_username,
approval_type,
subject_id=None,
include_expired=False,
cursor=None):
"""Reads approval requests of a given type for a given user."... | [
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train | MySQLDBUsersMixin.WriteUserNotification | Writes a notification for a given user. | grr/server/grr_response_server/databases/mysql_users.py | def WriteUserNotification(self, notification, cursor=None):
"""Writes a notification for a given user."""
# Copy the notification to ensure we don't modify the source object.
args = {
"username_hash":
mysql_utils.Hash(notification.username),
"notification_state":
int(... | def WriteUserNotification(self, notification, cursor=None):
"""Writes a notification for a given user."""
# Copy the notification to ensure we don't modify the source object.
args = {
"username_hash":
mysql_utils.Hash(notification.username),
"notification_state":
int(... | [
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train | MySQLDBUsersMixin.ReadUserNotifications | Reads notifications scheduled for a user within a given timerange. | grr/server/grr_response_server/databases/mysql_users.py | def ReadUserNotifications(self,
username,
state=None,
timerange=None,
cursor=None):
"""Reads notifications scheduled for a user within a given timerange."""
query = ("SELECT UNIX_TIMESTAMP(timestamp)... | def ReadUserNotifications(self,
username,
state=None,
timerange=None,
cursor=None):
"""Reads notifications scheduled for a user within a given timerange."""
query = ("SELECT UNIX_TIMESTAMP(timestamp)... | [
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train | MySQLDBUsersMixin.UpdateUserNotifications | Updates existing user notification objects. | grr/server/grr_response_server/databases/mysql_users.py | def UpdateUserNotifications(self,
username,
timestamps,
state=None,
cursor=None):
"""Updates existing user notification objects."""
query = ("UPDATE user_notification "
"SET noti... | def UpdateUserNotifications(self,
username,
timestamps,
state=None,
cursor=None):
"""Updates existing user notification objects."""
query = ("UPDATE user_notification "
"SET noti... | [
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train | SplitIntoComponents | Splits strings into space-separated components.
The difference between SplitIntoComponents and .split(" ") is that
the former tries to respect single and double quotes and strip them
using lexical rules typically used in command line interpreters.
Args:
str_in: Source string to be split into components.
... | grr/core/grr_response_core/path_detection/core.py | def SplitIntoComponents(str_in):
"""Splits strings into space-separated components.
The difference between SplitIntoComponents and .split(" ") is that
the former tries to respect single and double quotes and strip them
using lexical rules typically used in command line interpreters.
Args:
str_in: Source... | def SplitIntoComponents(str_in):
"""Splits strings into space-separated components.
The difference between SplitIntoComponents and .split(" ") is that
the former tries to respect single and double quotes and strip them
using lexical rules typically used in command line interpreters.
Args:
str_in: Source... | [
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train | Init | Register all known vfs handlers to open a pathspec types. | grr/client/grr_response_client/vfs.py | def Init():
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VFS_HANDLERS.clear()
_VFS_VIRTUALROOTS.clear()
vfs_virtualroots = config.CONFIG["Client.vfs_virtualroots"]
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progress_callback: A callback function to call to notify about progress
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train | Writer.WriteRow | Writes a single row to the underlying buffer.
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train | DictWriter.WriteRow | Writes a single row to the underlying buffer.
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train | ApiCronJob._IsCronJobFailing | Returns True if the last run failed. | grr/server/grr_response_server/gui/api_plugins/cron.py | def _IsCronJobFailing(self, cron_job):
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return status.status != rdf_cronjobs.CronJobRunStatus.Status.OK | def _IsCronJobFailing(self, cron_job):
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train | ApiCronJobRun.InitFromApiFlow | Shortcut method for easy legacy cron jobs support. | grr/server/grr_response_server/gui/api_plugins/cron.py | def InitFromApiFlow(self, f, cron_job_id=None):
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train | InMemoryDB._ParseTimeRange | Parses a timerange argument and always returns non-None timerange. | grr/server/grr_response_server/databases/mem.py | def _ParseTimeRange(self, timerange):
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obj: RDFValue to be copied.
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train | InMemoryDBEventMixin.ReadAPIAuditEntries | Returns audit entries stored in the database. | grr/server/grr_response_server/databases/mem_events.py | def ReadAPIAuditEntries(self,
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train | InMemoryDBEventMixin.CountAPIAuditEntriesByUserAndDay | Returns audit entry counts grouped by user and calendar day. | grr/server/grr_response_server/databases/mem_events.py | def CountAPIAuditEntriesByUserAndDay(self,
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max_timestamp=None):
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train | InMemoryDBEventMixin.WriteAPIAuditEntry | Writes an audit entry to the database. | grr/server/grr_response_server/databases/mem_events.py | def WriteAPIAuditEntry(self, entry):
"""Writes an audit entry to the database."""
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train | ApplyPluginToMultiTypeCollection | Applies instant output plugin to a multi-type collection.
Args:
plugin: InstantOutputPlugin instance.
output_collection: MultiTypeCollection instance.
source_urn: If not None, override source_urn for collection items. This has
to be used when exporting flow results - their GrrMessages don't have
... | grr/server/grr_response_server/instant_output_plugin.py | def ApplyPluginToMultiTypeCollection(plugin, output_collection,
source_urn=None):
"""Applies instant output plugin to a multi-type collection.
Args:
plugin: InstantOutputPlugin instance.
output_collection: MultiTypeCollection instance.
source_urn: If not None, overr... | def ApplyPluginToMultiTypeCollection(plugin, output_collection,
source_urn=None):
"""Applies instant output plugin to a multi-type collection.
Args:
plugin: InstantOutputPlugin instance.
output_collection: MultiTypeCollection instance.
source_urn: If not None, overr... | [
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train | ApplyPluginToTypedCollection | Applies instant output plugin to a collection of results.
Args:
plugin: InstantOutputPlugin instance.
type_names: List of type names (strings) to be processed.
fetch_fn: Function that takes a type name as an argument and returns
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... | grr/server/grr_response_server/instant_output_plugin.py | def ApplyPluginToTypedCollection(plugin, type_names, fetch_fn):
"""Applies instant output plugin to a collection of results.
Args:
plugin: InstantOutputPlugin instance.
type_names: List of type names (strings) to be processed.
fetch_fn: Function that takes a type name as an argument and returns
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"""Applies instant output plugin to a collection of results.
Args:
plugin: InstantOutputPlugin instance.
type_names: List of type names (strings) to be processed.
fetch_fn: Function that takes a type name as an argument and returns
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train | InstantOutputPlugin.output_file_name | Name of the file where plugin's output should be written to. | grr/server/grr_response_server/instant_output_plugin.py | def output_file_name(self):
"""Name of the file where plugin's output should be written to."""
safe_path = re.sub(r":|/", "_", self.source_urn.Path().lstrip("/"))
return "results_%s%s" % (safe_path, self.output_file_extension) | def output_file_name(self):
"""Name of the file where plugin's output should be written to."""
safe_path = re.sub(r":|/", "_", self.source_urn.Path().lstrip("/"))
return "results_%s%s" % (safe_path, self.output_file_extension) | [
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train | InstantOutputPluginWithExportConversion._GetMetadataForClients | Fetches metadata for a given list of clients. | grr/server/grr_response_server/instant_output_plugin.py | def _GetMetadataForClients(self, client_urns):
"""Fetches metadata for a given list of clients."""
result = {}
metadata_to_fetch = set()
for urn in client_urns:
try:
result[urn] = self._cached_metadata[urn]
except KeyError:
metadata_to_fetch.add(urn)
if metadata_to_fet... | def _GetMetadataForClients(self, client_urns):
"""Fetches metadata for a given list of clients."""
result = {}
metadata_to_fetch = set()
for urn in client_urns:
try:
result[urn] = self._cached_metadata[urn]
except KeyError:
metadata_to_fetch.add(urn)
if metadata_to_fet... | [
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train | InstantOutputPluginWithExportConversion._GenerateSingleTypeIteration | Yields responses of a given type only.
_GenerateSingleTypeIteration iterates through converted_responses and
only yields responses of the same type. The type is either popped from
next_types or inferred from the first item of converted_responses.
The type is added to a set of processed_types.
Alon... | grr/server/grr_response_server/instant_output_plugin.py | def _GenerateSingleTypeIteration(self, next_types, processed_types,
converted_responses):
"""Yields responses of a given type only.
_GenerateSingleTypeIteration iterates through converted_responses and
only yields responses of the same type. The type is either popped from... | def _GenerateSingleTypeIteration(self, next_types, processed_types,
converted_responses):
"""Yields responses of a given type only.
_GenerateSingleTypeIteration iterates through converted_responses and
only yields responses of the same type. The type is either popped from... | [
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train | InstantOutputPluginWithExportConversion._GenerateConvertedValues | Generates converted values using given converter from given messages.
Groups values in batches of BATCH_SIZE size and applies the converter
to each batch.
Args:
converter: ExportConverter instance.
grr_messages: An iterable (a generator is assumed) with GRRMessage values.
Yields:
Va... | grr/server/grr_response_server/instant_output_plugin.py | def _GenerateConvertedValues(self, converter, grr_messages):
"""Generates converted values using given converter from given messages.
Groups values in batches of BATCH_SIZE size and applies the converter
to each batch.
Args:
converter: ExportConverter instance.
grr_messages: An iterable (a... | def _GenerateConvertedValues(self, converter, grr_messages):
"""Generates converted values using given converter from given messages.
Groups values in batches of BATCH_SIZE size and applies the converter
to each batch.
Args:
converter: ExportConverter instance.
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train | ParseCategorizedPath | Parses a categorized path string into type and list of components. | grr/server/grr_response_server/rdfvalues/objects.py | def ParseCategorizedPath(path):
"""Parses a categorized path string into type and list of components."""
components = tuple(component for component in path.split("/") if component)
if components[0:2] == ("fs", "os"):
return PathInfo.PathType.OS, components[2:]
elif components[0:2] == ("fs", "tsk"):
retu... | def ParseCategorizedPath(path):
"""Parses a categorized path string into type and list of components."""
components = tuple(component for component in path.split("/") if component)
if components[0:2] == ("fs", "os"):
return PathInfo.PathType.OS, components[2:]
elif components[0:2] == ("fs", "tsk"):
retu... | [
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train | ToCategorizedPath | Translates a path type and a list of components to a categorized path. | grr/server/grr_response_server/rdfvalues/objects.py | def ToCategorizedPath(path_type, components):
"""Translates a path type and a list of components to a categorized path."""
try:
prefix = {
PathInfo.PathType.OS: ("fs", "os"),
PathInfo.PathType.TSK: ("fs", "tsk"),
PathInfo.PathType.REGISTRY: ("registry",),
PathInfo.PathType.TEMP: ... | def ToCategorizedPath(path_type, components):
"""Translates a path type and a list of components to a categorized path."""
try:
prefix = {
PathInfo.PathType.OS: ("fs", "os"),
PathInfo.PathType.TSK: ("fs", "tsk"),
PathInfo.PathType.REGISTRY: ("registry",),
PathInfo.PathType.TEMP: ... | [
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train | ClientSnapshot.GetGRRVersionString | Returns the client installation-name and GRR version as a string. | grr/server/grr_response_server/rdfvalues/objects.py | def GetGRRVersionString(self):
"""Returns the client installation-name and GRR version as a string."""
client_info = self.startup_info.client_info
client_name = client_info.client_description or client_info.client_name
if client_info.client_version > 0:
client_version = str(client_info.client_vers... | def GetGRRVersionString(self):
"""Returns the client installation-name and GRR version as a string."""
client_info = self.startup_info.client_info
client_name = client_info.client_description or client_info.client_name
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client_version = str(client_info.client_vers... | [
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train | ClientSnapshot.GetMacAddresses | MAC addresses from all interfaces. | grr/server/grr_response_server/rdfvalues/objects.py | def GetMacAddresses(self):
"""MAC addresses from all interfaces."""
result = set()
for interface in self.interfaces:
if (interface.mac_address and
interface.mac_address != b"\x00" * len(interface.mac_address)):
result.add(Text(interface.mac_address.human_readable_address))
return... | def GetMacAddresses(self):
"""MAC addresses from all interfaces."""
result = set()
for interface in self.interfaces:
if (interface.mac_address and
interface.mac_address != b"\x00" * len(interface.mac_address)):
result.add(Text(interface.mac_address.human_readable_address))
return... | [
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train | ClientSnapshot.GetIPAddresses | IP addresses from all interfaces. | grr/server/grr_response_server/rdfvalues/objects.py | def GetIPAddresses(self):
"""IP addresses from all interfaces."""
result = []
filtered_ips = ["127.0.0.1", "::1", "fe80::1"]
for interface in self.interfaces:
for address in interface.addresses:
if address.human_readable_address not in filtered_ips:
result.append(Text(address.hu... | def GetIPAddresses(self):
"""IP addresses from all interfaces."""
result = []
filtered_ips = ["127.0.0.1", "::1", "fe80::1"]
for interface in self.interfaces:
for address in interface.addresses:
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train | ClientSnapshot.GetSummary | Gets a client summary object.
Returns:
rdf_client.ClientSummary
Raises:
ValueError: on bad cloud type | grr/server/grr_response_server/rdfvalues/objects.py | def GetSummary(self):
"""Gets a client summary object.
Returns:
rdf_client.ClientSummary
Raises:
ValueError: on bad cloud type
"""
summary = rdf_client.ClientSummary()
summary.client_id = self.client_id
summary.timestamp = self.timestamp
summary.system_info.release = self.o... | def GetSummary(self):
"""Gets a client summary object.
Returns:
rdf_client.ClientSummary
Raises:
ValueError: on bad cloud type
"""
summary = rdf_client.ClientSummary()
summary.client_id = self.client_id
summary.timestamp = self.timestamp
summary.system_info.release = self.o... | [
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train | PathInfo.GetParent | Constructs a path info corresponding to the parent of current path.
The root path (represented by an empty list of components, corresponds to
`/` on Unix-like systems) does not have a parent.
Returns:
Instance of `rdf_objects.PathInfo` or `None` if parent does not exist. | grr/server/grr_response_server/rdfvalues/objects.py | def GetParent(self):
"""Constructs a path info corresponding to the parent of current path.
The root path (represented by an empty list of components, corresponds to
`/` on Unix-like systems) does not have a parent.
Returns:
Instance of `rdf_objects.PathInfo` or `None` if parent does not exist.
... | def GetParent(self):
"""Constructs a path info corresponding to the parent of current path.
The root path (represented by an empty list of components, corresponds to
`/` on Unix-like systems) does not have a parent.
Returns:
Instance of `rdf_objects.PathInfo` or `None` if parent does not exist.
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train | PathInfo.GetAncestors | Yields all ancestors of a path.
The ancestors are returned in order from closest to the farthest one.
Yields:
Instances of `rdf_objects.PathInfo`. | grr/server/grr_response_server/rdfvalues/objects.py | def GetAncestors(self):
"""Yields all ancestors of a path.
The ancestors are returned in order from closest to the farthest one.
Yields:
Instances of `rdf_objects.PathInfo`.
"""
current = self
while True:
current = current.GetParent()
if current is None:
return
... | def GetAncestors(self):
"""Yields all ancestors of a path.
The ancestors are returned in order from closest to the farthest one.
Yields:
Instances of `rdf_objects.PathInfo`.
"""
current = self
while True:
current = current.GetParent()
if current is None:
return
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train | PathInfo.UpdateFrom | Merge path info records.
Merges src into self.
Args:
src: An rdfvalues.objects.PathInfo record, will be merged into self.
Raises:
ValueError: If src does not represent the same path. | grr/server/grr_response_server/rdfvalues/objects.py | def UpdateFrom(self, src):
"""Merge path info records.
Merges src into self.
Args:
src: An rdfvalues.objects.PathInfo record, will be merged into self.
Raises:
ValueError: If src does not represent the same path.
"""
if not isinstance(src, PathInfo):
raise TypeError("expected... | def UpdateFrom(self, src):
"""Merge path info records.
Merges src into self.
Args:
src: An rdfvalues.objects.PathInfo record, will be merged into self.
Raises:
ValueError: If src does not represent the same path.
"""
if not isinstance(src, PathInfo):
raise TypeError("expected... | [
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train | VfsFileReference.ToURN | Converts a reference into an URN. | grr/server/grr_response_server/rdfvalues/objects.py | def ToURN(self):
"""Converts a reference into an URN."""
if self.path_type in [PathInfo.PathType.OS, PathInfo.PathType.TSK]:
return rdfvalue.RDFURN(self.client_id).Add("fs").Add(
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train | VfsFileReference.ToPath | Converts a reference into a VFS file path. | grr/server/grr_response_server/rdfvalues/objects.py | def ToPath(self):
"""Converts a reference into a VFS file path."""
if self.path_type == PathInfo.PathType.OS:
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elif self.path_type == PathInfo.PathType.TSK:
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"""Converts a reference into a VFS file path."""
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train | LogInit | Configure the logging subsystem. | grr/client/grr_response_client/client_logging.py | def LogInit():
"""Configure the logging subsystem."""
logging.debug("Initializing client logging subsystem.")
# The root logger.
logger = logging.getLogger()
memory_handlers = [
m for m in logger.handlers
if m.__class__.__name__ == "PreLoggingMemoryHandler"
]
# Clear all handers.
logger.ha... | def LogInit():
"""Configure the logging subsystem."""
logging.debug("Initializing client logging subsystem.")
# The root logger.
logger = logging.getLogger()
memory_handlers = [
m for m in logger.handlers
if m.__class__.__name__ == "PreLoggingMemoryHandler"
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# Clear all handers.
logger.ha... | [
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train | UpdateClientsFromFleetspeak | Updates ApiClient records to include info from Fleetspeak. | grr/server/grr_response_server/gui/api_plugins/client.py | def UpdateClientsFromFleetspeak(clients):
"""Updates ApiClient records to include info from Fleetspeak."""
if not fleetspeak_connector.CONN or not fleetspeak_connector.CONN.outgoing:
# FS not configured, or an outgoing connection is otherwise unavailable.
return
id_map = {}
for client in clients:
if... | def UpdateClientsFromFleetspeak(clients):
"""Updates ApiClient records to include info from Fleetspeak."""
if not fleetspeak_connector.CONN or not fleetspeak_connector.CONN.outgoing:
# FS not configured, or an outgoing connection is otherwise unavailable.
return
id_map = {}
for client in clients:
if... | [
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train | ApiRemoveClientsLabelsHandler.RemoveClientLabels | Removes labels with given names from a given client object. | grr/server/grr_response_server/gui/api_plugins/client.py | def RemoveClientLabels(self, client, labels_names):
"""Removes labels with given names from a given client object."""
affected_owners = set()
for label in client.GetLabels():
if label.name in labels_names and label.owner != "GRR":
affected_owners.add(label.owner)
for owner in affected_ow... | def RemoveClientLabels(self, client, labels_names):
"""Removes labels with given names from a given client object."""
affected_owners = set()
for label in client.GetLabels():
if label.name in labels_names and label.owner != "GRR":
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train | Timeseries._NormalizeTime | Normalize a time to be an int measured in microseconds. | grr/server/grr_response_server/timeseries.py | def _NormalizeTime(self, time):
"""Normalize a time to be an int measured in microseconds."""
if isinstance(time, rdfvalue.RDFDatetime):
return time.AsMicrosecondsSinceEpoch()
if isinstance(time, rdfvalue.Duration):
return time.microseconds
return int(time) | def _NormalizeTime(self, time):
"""Normalize a time to be an int measured in microseconds."""
if isinstance(time, rdfvalue.RDFDatetime):
return time.AsMicrosecondsSinceEpoch()
if isinstance(time, rdfvalue.Duration):
return time.microseconds
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train | Timeseries.Append | Adds value at timestamp.
Values must be added in order of increasing timestamp.
Args:
value: An observed value.
timestamp: The timestamp at which value was observed.
Raises:
RuntimeError: If timestamp is smaller than the previous timstamp. | grr/server/grr_response_server/timeseries.py | def Append(self, value, timestamp):
"""Adds value at timestamp.
Values must be added in order of increasing timestamp.
Args:
value: An observed value.
timestamp: The timestamp at which value was observed.
Raises:
RuntimeError: If timestamp is smaller than the previous timstamp.
... | def Append(self, value, timestamp):
"""Adds value at timestamp.
Values must be added in order of increasing timestamp.
Args:
value: An observed value.
timestamp: The timestamp at which value was observed.
Raises:
RuntimeError: If timestamp is smaller than the previous timstamp.
... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/timeseries.py#L46-L62 | [
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train | Timeseries.MultiAppend | Adds multiple value<->timestamp pairs.
Args:
value_timestamp_pairs: Tuples of (value, timestamp). | grr/server/grr_response_server/timeseries.py | def MultiAppend(self, value_timestamp_pairs):
"""Adds multiple value<->timestamp pairs.
Args:
value_timestamp_pairs: Tuples of (value, timestamp).
"""
for value, timestamp in value_timestamp_pairs:
self.Append(value, timestamp) | def MultiAppend(self, value_timestamp_pairs):
"""Adds multiple value<->timestamp pairs.
Args:
value_timestamp_pairs: Tuples of (value, timestamp).
"""
for value, timestamp in value_timestamp_pairs:
self.Append(value, timestamp) | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/timeseries.py#L64-L71 | [
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train | Timeseries.FilterRange | Filter the series to lie between start_time and stop_time.
Removes all values of the series which are outside of some time range.
Args:
start_time: If set, timestamps before start_time will be dropped.
stop_time: If set, timestamps at or past stop_time will be dropped. | grr/server/grr_response_server/timeseries.py | def FilterRange(self, start_time=None, stop_time=None):
"""Filter the series to lie between start_time and stop_time.
Removes all values of the series which are outside of some time range.
Args:
start_time: If set, timestamps before start_time will be dropped.
stop_time: If set, timestamps at ... | def FilterRange(self, start_time=None, stop_time=None):
"""Filter the series to lie between start_time and stop_time.
Removes all values of the series which are outside of some time range.
Args:
start_time: If set, timestamps before start_time will be dropped.
stop_time: If set, timestamps at ... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/timeseries.py#L73-L89 | [
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train | Timeseries.Normalize | Normalize the series to have a fixed period over a fixed time range.
Supports two modes, depending on the type of data:
NORMALIZE_MODE_GAUGE: support gauge values. If multiple original data
points lie within an output interval, the output value is an average of
the original data point. if n... | grr/server/grr_response_server/timeseries.py | def Normalize(self, period, start_time, stop_time, mode=NORMALIZE_MODE_GAUGE):
"""Normalize the series to have a fixed period over a fixed time range.
Supports two modes, depending on the type of data:
NORMALIZE_MODE_GAUGE: support gauge values. If multiple original data
points lie within an out... | def Normalize(self, period, start_time, stop_time, mode=NORMALIZE_MODE_GAUGE):
"""Normalize the series to have a fixed period over a fixed time range.
Supports two modes, depending on the type of data:
NORMALIZE_MODE_GAUGE: support gauge values. If multiple original data
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train | Timeseries.MakeIncreasing | Makes the time series increasing.
Assumes that series is based on a counter which is occasionally reset, and
using this assumption converts the sequence to estimate the total number of
counts which occurred.
NOTE: Could give inacurate numbers in either of the following cases: 1)
Multiple resets oc... | grr/server/grr_response_server/timeseries.py | def MakeIncreasing(self):
"""Makes the time series increasing.
Assumes that series is based on a counter which is occasionally reset, and
using this assumption converts the sequence to estimate the total number of
counts which occurred.
NOTE: Could give inacurate numbers in either of the following... | def MakeIncreasing(self):
"""Makes the time series increasing.
Assumes that series is based on a counter which is occasionally reset, and
using this assumption converts the sequence to estimate the total number of
counts which occurred.
NOTE: Could give inacurate numbers in either of the following... | [
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] | google/grr | python | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/timeseries.py#L155-L175 | [
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