def get(self, **kwargs):
request = kwargs.get("request")
if request is not None and request_from_master(request):
config.master_contacted()
return dumps(versions=[1]), OK
def test_request_not_from_master(self):
request = DummyRequest("")
request.requestHeaders.setRawHeaders(
"User-Agent", ["foobar"])
self.assertFalse(request_from_master(request))
def get(self, **kwargs):
"""
Get the contents of the specified task log. The log will be
returned in CSV format with the following fields:
* ISO8601 timestamp
* Stream number (0 == stdout, 1 == stderr)
* Line number
* Parent process ID
* Message the process produced
The log file identifier is configurable and relies on the
`jobtype_task_log_filename` configuration option. See the
configuration documentation for more information about the
default value.
.. http:get:: /api/v1/tasklogs/<identifier> HTTP/1.1
**Request**
.. sourcecode:: http
GET /api/v1/tasklogs/<identifier> HTTP/1.1
**Response**
.. sourcecode:: http
HTTP/1.1 200 OK
Content-Type: text/csv
2015-05-07T23:42:53.730975,0,15,42,Hello world
:statuscode 200: The log file was found, it's content will be returned.
"""
request = kwargs["request"]
if request_from_master(request):
config.master_contacted()
if len(request.postpath) != 1:
return (
dumps({"error": "Did not specify a log identifier"}),
BAD_REQUEST,
{"Content-Type": ["application/json"]}
)
log_identifier = request.postpath[0]
if "/" in log_identifier or "\\" in log_identifier:
return (
dumps({"error": "log_identifier must not contain "
"directory separators"}),
BAD_REQUEST,
{"Content-Type": ["application/json"]}
)
path = join(config["jobtype_task_logs"], log_identifier)
try:
logfile = self._open_file(path, "rb")
except Exception as error:
request.responseHeaders.setRawHeaders(
"Content-Type", ["application/json"])
if getattr(error, "errno", None) == ENOENT:
return dumps({"error": "%s does not exist" % path}), NOT_FOUND
logger.error("GET %s failed: %s", request.postpath, error)
return dumps({"error": str(error)}), INTERNAL_SERVER_ERROR
# TODO: deferToThread for open? (and possibly send)
request.setResponseCode(OK)
request.responseHeaders.setRawHeaders("Content-Type", ["text/csv"])
deferred = FileSender().beginFileTransfer(logfile, request)
deferred.addCallback(lambda *_: request.finish())
deferred.addCallback(lambda *_: logfile.close())
return NOT_DONE_YET
def test_request_from_master(self):
request = DummyRequest("")
request.requestHeaders.setRawHeaders(
"User-Agent", [config["master_user_agent"]])
self.assertTrue(request_from_master(request))
def post(self, **kwargs):
if request_from_master(kwargs["request"]):
config.master_contacted()
request = kwargs["request"]
request_data = kwargs["data"]
# First, get the resources we have *right now*. In some cases
# this means using the functions in pyfarm.core.sysinfo because
# entries in `config` could be slightly out of sync with the system.
memory_free = free_ram()
cpus = config["agent_cpus"]
requires_ram = request_data["job"].get("ram")
requires_cpus = request_data["job"].get("cpus")
if ("agent_id" in request_data and
request_data["agent_id"] != config["agent_id"]):
logger.error("Wrong agent_id in assignment: %s. Our id is %s",
request_data["agent_id"], config["agent_id"])
return (
dumps({"error": "You have the wrong agent. "
"I am %s." % config["agent_id"],
"agent_id": config["agent_id"]}),
BAD_REQUEST
)
elif self.agent.reannounce_lock.locked:
logger.warning("Temporarily rejecting assignment because we "
"are in the middle of a reannounce.")
return (
dumps({"error": "Agent cannot accept assignments because of a "
"reannounce in progress. Try again shortly."}),
SERVICE_UNAVAILABLE
)
elif self.agent.shutting_down:
logger.error("Rejecting assignment because the agent is in the "
"process of shutting down.")
return (
dumps({"error": "Agent cannot accept assignments because it is "
"shutting down."}),
SERVICE_UNAVAILABLE
)
elif "restart_requested" in config \
and config["restart_requested"] is True:
logger.error("Rejecting assignment because of scheduled restart.")
return (
dumps({"error": "Agent cannot accept assignments because of a "
"pending restart."}),
SERVICE_UNAVAILABLE
)
elif "agent_id" not in config:
logger.error(
"Agent has not yet connected to the master or `agent_id` "
"has not been set yet.")
return (
dumps({"error": "agent_id has not been set in the config"}),
SERVICE_UNAVAILABLE
)
# Do we have enough ram?
elif requires_ram is not None and requires_ram > memory_free:
logger.error(
"Task %s requires %sMB of ram, this agent has %sMB free. "
"Rejecting Task %s.",
request_data["job"]["id"], requires_ram, memory_free,
request_data["job"]["id"])
config["free_ram"] = memory_free
return (
dumps({"error": "Not enough ram",
"agent_ram": memory_free,
"requires_ram": requires_ram}),
BAD_REQUEST
)
# Do we have enough cpus (count wise)?
elif requires_cpus is not None and requires_cpus > cpus:
logger.error(
"Task %s requires %s CPUs, this agent has %s CPUs. "
"Rejecting Task %s.",
request_data["job"]["id"], requires_cpus, cpus,
request_data["job"]["id"])
return (
dumps({"error": "Not enough cpus",
"agent_cpus": cpus,
"requires_cpus": requires_cpus}),
BAD_REQUEST
)
new_task_ids = set(task["id"] for task in request_data["tasks"])
for assignment in config["current_assignments"].itervalues():
existing_task_ids = set(x["id"] for x in assignment["tasks"])
# If the assignment is identical to one we already have
if existing_task_ids == new_task_ids:
logger.debug(
"Ignoring repeated assignment of the same batch")
return dumps({"id": assignment["id"]}), ACCEPTED
# If there is only a partial overlap
elif existing_task_ids & new_task_ids:
logger.error("Rejecting assignment with partial overlap with "
"existing assignment.")
unknown_task_ids = new_task_ids - existing_task_ids
return (
dumps({"error": "Partial overlap of tasks",
"rejected_task_ids": list(unknown_task_ids)}),
CONFLICT
)
if not config["agent_allow_sharing"]:
for jobtype in config["jobtypes"].itervalues():
num_finished_tasks = (len(jobtype.finished_tasks) +
len(jobtype.failed_tasks))
if len(jobtype.assignment["tasks"]) > num_finished_tasks:
logger.error("Rejecting an assignment that would require "
"agent sharing")
return (
dumps({
"error": "Agent does not allow multiple "
"assignments",
"rejected_task_ids": list(new_task_ids)}),
CONFLICT
)
assignment_uuid = uuid4()
request_data.update(id=assignment_uuid)
config["current_assignments"][assignment_uuid] = request_data
logger.debug("Accepted assignment %s: %r",
assignment_uuid, request_data)
logger.info("Accept assignment from job %s with %s tasks",
request_data["job"]["title"], len(request_data["tasks"]))
def assignment_failed(result, assign_id):
logger.error(
"Assignment %s failed, result: %r, removing.", assign_id, result)
logger.error(result.getTraceback())
if (len(config["current_assignments"]) <= 1 and
not self.agent.shutting_down):
config["state"] = AgentState.ONLINE
self.agent.reannounce(force=True)
# Do not mark the assignment as failed if the reason for failing
# was that we ran out of disk space
failed = not isinstance(result.value, InsufficientSpaceError)
assignment = config["current_assignments"].pop(assign_id)
if "jobtype" in assignment:
jobtype_id = assignment["jobtype"].pop("id", None)
if jobtype_id:
instance = config["jobtypes"].pop(jobtype_id, None)
instance.stop(
assignment_failed=failed,
avoid_reassignment=not failed,
error="Error in jobtype: %r. "
"Traceback: %s" % (result,
traceback.format_exc()))
def assignment_started(_, assign_id):
logger.debug("Assignment %s has started", assign_id)
config["state"] = AgentState.RUNNING
self.agent.reannounce(force=True)
def remove_assignment(_, assign_id):
assignment = config["current_assignments"].pop(assign_id)
if "jobtype" in assignment:
jobtype_id = assignment["jobtype"].pop("id", None)
if jobtype_id:
config["jobtypes"].pop(jobtype_id, None)
def assignment_stopped(_, assign_id):
logger.debug("Assignment %s has stopped", assign_id)
if (len(config["current_assignments"]) <= 1 and
not self.agent.shutting_down):
config["state"] = AgentState.ONLINE
self.agent.reannounce(force=True)
assignment = config["current_assignments"][assign_id]
if "jobtype" in assignment:
jobtype_id = assignment["jobtype"].pop("id", None)
if jobtype_id:
jobtype = config["jobtypes"].pop(jobtype_id, None)
updates_deferred = DeferredList(
jobtype.task_update_deferreds)
updates_deferred.addBoth(remove_assignment, assign_id)
else:
config["current_assignments"].pop(assign_id)
def restart_if_necessary(_): # pragma: no cover
if "restart_requested" in config and config["restart_requested"]:
stopping = config["agent"].stop()
stopping.addCallbacks(lambda _: reactor.stop(),
lambda _: reactor.stop())
def load_jobtype_failed(result, assign_id):
logger.error(
"Loading jobtype for assignment %s failed, removing.", assign_id)
traceback = result.getTraceback()
logger.debug("Got traceback")
logger.error(traceback)
assignment = config["current_assignments"].pop(assign_id)
# Mark all tasks as failed on master and set an error message
logger.debug("Marking tasks in assignment as failed")
def post_update(post_url, post_data, task, delay=0):
post_func = partial(post, post_url, data=post_data,
callback=lambda x: result_callback(
post_url, post_data, task, x),
errback=lambda x: error_callback(
post_url, post_data, task, x))
reactor.callLater(delay, post_func)
def result_callback(cburl, cbdata, task, response):
if 500 <= response.code < 600:
logger.error(
"Error while marking task %s as failed on master, "
"retrying", task["id"])
post_update(cburl, cbdata, task, delay=http_retry_delay())
elif response.code != OK:
logger.error(
"Could not mark task %s as failed, server response "
"code was %s", task["id"], response.code)
else:
logger.info(
"Marked task %s as failed on master", task["id"])
def error_callback(cburl, cbdata, task, failure_reason):
logger.error(
"Error while marking task %s as failed, retrying",
task["id"], failure_reason)
post_update(cburl, cbdata, task, delay=http_retry_delay())
for task in assignment["tasks"]:
url = "%s/jobs/%s/tasks/%s" % (
config["master_api"], assignment["job"]["id"], task["id"])
data = {
"state": WorkState.FAILED,
"last_error": traceback}
post_update(url, data, task)
# If the loading was partially successful for some reason, there
# might already be an entry for this jobtype in the config.
# Remove it if it exists.
if "jobtype" in assignment:
jobtype_id = assignment["jobtype"].pop("id", None)
if jobtype_id:
config["jobtypes"].pop(jobtype_id, None)
def loaded_jobtype(jobtype_class, assign_id):
# TODO: report error to master
if hasattr(jobtype_class, "getTraceback"):
logger.error(jobtype_class.getTraceback())
return
# TODO: add call to prepare_for_job
# TODO: add call to spawn_persistent_process
# Instance the job type and pass in the assignment data.
instance = jobtype_class(request_data)
if not isinstance(instance, JobType):
raise TypeError(
"Expected a subclass of "
"pyfarm.jobtypes.core.jobtype.JobType")
# TODO: add callback to cleanup_after_job
# TODO: add callback to stop persistent process
try:
started_deferred, stopped_deferred = instance._start()
started_deferred.addCallback(assignment_started, assign_id)
started_deferred.addErrback(assignment_failed, assign_id)
stopped_deferred.addCallback(assignment_stopped, assign_id)
stopped_deferred.addErrback(assignment_failed, assign_id)
stopped_deferred.addBoth(restart_if_necessary)
stopped_deferred.addBoth(
lambda *args: instance._remove_tempdirs())
stopped_deferred.addBoth(
lambda *args: instance._close_logs())
stopped_deferred.addBoth(
lambda *args: instance._upload_logfile())
except Exception as e:
logger.error("Error on starting jobtype, stopping it now. "
"Error was: %r. Traceback: %s", e,
traceback.format_exc())
instance.stop(assignment_failed=True,
error="Error while loading jobtype: %r. "
"Traceback: %s" %
(e, traceback.format_exc()))
assignment = config["current_assignments"].pop(assign_id)
if "jobtype" in assignment:
jobtype_id = assignment["jobtype"].pop("id", None)
if jobtype_id:
config["jobtypes"].pop(jobtype_id, None)
# Load the job type then pass the class along to the
# callback. No errback here because all the errors
# are handled internally in this case.
jobtype_loader = JobType.load(request_data)
jobtype_loader.addCallback(loaded_jobtype, assignment_uuid)
jobtype_loader.addErrback(load_jobtype_failed, assignment_uuid)
return dumps({"id": assignment_uuid}), ACCEPTED
