Files
catalyst/zipline/utils/log_utils.py
T

164 lines
4.6 KiB
Python

import logbook
import zmq
import pytz
import datetime
from logbook import NOTSET
from logbook.handlers import Handler, FileHandler
from zipline.protocol import LOG_FRAME, LOG_FIELDS, \
LOG_EXTRA_FIELDS
from contextlib import contextmanager
log = logbook.Logger("LogUtils")
class redirecter(object):
def __init__(self, logger, name):
self.logger = logger
self.buffer = bytes()
self.name = name
def write(self, line):
self.buffer += ''.join(['>>> ', line.strip('\n'), '\n'])
def flush(self, final=False):
if not self.buffer:
return
out_form = """ [{pipe_name}] \n{buffer}""".format(
pipe_name = self.name,
buffer = self.buffer
)
self.logger.error(out_form)
self.buffer = bytes()
class log_redirecter(object):
def __init__(self, logger):
self.logger = logger
def write(self, line):
#Absorb blank lines from print statements.
if line =='\n':
return
else:
#TODO: add logic to guarantee we made this
self.logger.info(line.strip('\n'))
def flush(self, final=False):
pass
@contextmanager
def stdout_pipe(logger, pipe_name):
"""
Pipe stdout and stderr into a python logger interface
"""
import sys
orig_fds = sys.stdout, sys.stderr
sys.stderr = redirecter(logger, pipe_name)
sys.stdout = redirecter(logger, pipe_name)
yield
sys.stderr.flush()
sys.stdout.flush()
sys.stdout, sys.stderr = orig_fds
@contextmanager
def stdout_only_pipe(logger, pipe_name):
"""
Pipes just stdout into a python logger interface
"""
import sys
orig_fd = sys.stdout
sys.stdout = log_redirecter(logger)
yield
sys.stdout.flush()
sys.stdout = orig_fd
class ZeroMQLogHandler(Handler):
"""
A handler that takes messages captured from the user algorithm stdout
and transforms them into LOG_FRAMES suitable for database storage.
Setup is similar to logbook.queues.ZeroMQHandler, except we connect
instead of binding and we extract record fields into a dict.
"""
def __init__(self, socket=None, level=NOTSET, filter=None, bubble=False,
context=None, fds = LOG_FIELDS, extra_fds = LOG_EXTRA_FIELDS):
Handler.__init__(self, level, filter, bubble)
try:
import zmq
except ImportError:
raise RuntimeError('The pyzmq library is required for '
'the ZeroMQHandler.')
#: the zero mq context
self.context = context
#: the zero mq socket.
self.socket = socket #self.context.socket(zmq.PUSH)
#self.uri = uri
#if uri is not None:
# self.socket.connect(uri)
self.fds = fds
self.extra_fds = extra_fds
def export_record(self, record):
"""
Extract relevant fields from a log record, fiddling with datetime
fields to make json happy.
"""
from zipline.utils.date_utils import EPOCH
#Needed to extract record info from dictionary.
record.pull_information()
#Logbook stores record times as datetime objects, which
#can't be serialized by JSON, so we need to convert to
#unix epoch representation.
if record.time:
assert isinstance(record.time, datetime.datetime)
time = record.time.replace(tzinfo = pytz.utc)
#logbook measures time in utc already, no need to convert.
record.time = EPOCH(time)
#Do the same if algo_dt is a datetime object.
if record.extra.has_key('algo_dt'):
algo_dt = record.extra['algo_dt']
if isinstance(algo_dt, datetime.datetime):
algo_dt = EPOCH(algo_dt.replace(tzinfo = pytz.utc))
record.extra['algo_dt'] = algo_dt
data = {}
#Extract all the fields we care about from LogRecord's internal
#dictionary.
for field in iter(self.fds):
if record.__dict__.has_key(field):
data[field] = record.__dict__[field]
else:
data[field] = None
for field in iter(self.extra_fds):
if record.extra.has_key(field):
data[field] = record.extra[field]
else:
data[field] = None
return data
def emit(self, record):
"""Extract relevant fields and send info as JSON over a zmq socket."""
payload = self.export_record(record)
self.socket.send(LOG_FRAME(payload))
def close(self):
pass
#self.socket.close()