MAINT: Simplify current date logic in tradesimulation loop.

Now that the tradesimulation loop has changed to use benchmarks
as a 'clock', the logic for setting the current time can be grouped
together at the beginning of each iteration instead of the date
and snapshot grouping.

Also, can remove the snapshot_dt and use simulation_dt instead
of having two variables that were keeping track of the same value.

Also, it is no longer needed to peek into the data to get the first
simulation_dt now that simulation_dt is set at the beginning of each
loop iteration.
This commit is contained in:
Eddie Hebert
2013-06-06 17:37:38 -04:00
parent 99676067d7
commit f978d4807e
+5 -26
View File
@@ -12,7 +12,6 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import itertools
from itertools import chain
from logbook import Logger, Processor
@@ -66,7 +65,6 @@ class AlgorithmSimulator(object):
# We don't have a datetime for the current snapshot until we
# receive a message.
self.simulation_dt = None
self.snapshot_dt = None
# =============
# Logging Setup
@@ -76,7 +74,7 @@ class AlgorithmSimulator(object):
# user prints/logs.
def inject_algo_dt(record):
if not 'algo_dt' in record.extra:
record.extra['algo_dt'] = self.snapshot_dt
record.extra['algo_dt'] = self.simulation_dt
self.processor = Processor(inject_algo_dt)
@property
@@ -90,14 +88,6 @@ class AlgorithmSimulator(object):
"""
# Initialize the mkt_close
mkt_close = self.algo.perf_tracker.market_close
# Set the simulation date to be the first event we see.
peek_date, peek_snapshot = next(stream_in)
self.simulation_dt = peek_date
# Stitch back together the generator by placing the peeked
# event back in front
stream = itertools.chain([(peek_date, peek_snapshot)],
stream_in)
# inject the current algo
# snapshot time to any log record generated.
@@ -105,7 +95,9 @@ class AlgorithmSimulator(object):
updated = False
bm_updated = False
for date, snapshot in stream:
for date, snapshot in stream_in:
self.algo.set_datetime(date)
self.simulation_dt = date
self.algo.perf_tracker.set_date(date)
self.algo.blotter.set_date(date)
# If we're still in the warmup period. Use the event to
@@ -140,7 +132,7 @@ class AlgorithmSimulator(object):
# Send the current state of the universe
# to the user's algo.
if updated:
self.simulate_snapshot(date)
self.algo.handle_data(self.current_data)
updated = False
# run orders placed in the algorithm call
@@ -203,16 +195,3 @@ class AlgorithmSimulator(object):
# Update our knowledge of this event's sid
sid_data = self.current_data[event.sid]
sid_data.__dict__.update(event.__dict__)
def simulate_snapshot(self, date):
"""
Run the user's algo against our current snapshot and update
the algo's simulated time.
"""
# Needs to be set so that we inject the proper date into algo
# log/print lines.
self.snapshot_dt = date
self.algo.set_datetime(self.snapshot_dt)
# Update the simulation time.
self.simulation_dt = date
self.algo.handle_data(self.current_data)