* pep8 conversion of alphas
* pep8 conversion of benchmarks
* Various fixes and rebase
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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* Deprecates IAlgorithmSettings.DataSubscriptionLimit
We will let the brokerage check and notify users that they have subscribed to datafeeds beyond their quota.
* Removes Unit Test
Also remove usage in `EmptyEquityAndOptions400Benchmark`.
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* Add performance gh action
- Add new performance github action, running python and csharp benchmark
algorithms
- Adjusting algorithms length so they are not too long or too short
* Checkout master branch benchmark reference
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- Remove thread in charge of sorting and updating the queues weight.
This will be handled by each worker thread instead. Avoid cases where
the work count is so high that the sorting thread in master would not
be able to update all the weights, causing data to be enqueued beyond
the max prefetch limit. Adding benchmark algorithm reproducing issue
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* WIP removal of custom data references & tests updates
* Regression algos updated and python algorithms moved to DataSource repos
* Fixes failing unit tests
* Add "LiveDataTypes" field to LiveNodePacket
* Adds Initialize() to IDataChannelProvider
* Adds new extension method to convert
HistoryRequest -> SubscriptionDataConfig
* Address review: Add protobuf definitions for Iconic data types
* Address review: re-adds DynamicSecurityDataAlgorithm as regression algo
* Small adjustments to variable naming and documentation
* Move test files to respective DataSource repos
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* Python research import improvements
- Improve start.py for research env
- Remove unrequired imports
* Centralize algorithm imports
* Add regression test GH action
* Unit test python import clean up
* Join research and main imports
* More python import clean up
* Fix failing skipped regression algorithm
* Remove and replace OnEndOfDay() ref
* Restore functionality of obsolete EOD, waiting for deprecation in August 2021
* Cleanup
* Adjustments to only post message when using obsolete EOD
* nit, extra space
* Address review
* Adjust test to reflect new behaviour
* Move GetPythonArgCount to an extension method
* Add unit test
* nit accidental import
* Refactor broken test
* Use Py.GIL() state for extension
- `PortfolioTargetCollection` avoid calling `Count` on
ConcurrentDictionary directly -> has to take all locks
- `SecurityChanges` change Union for Concat since constructor will call
HashSet
- Make `DynamicSecurityData` hold lazy data objects
- `RegisteredSecurityDataTypesProvider` avoid looping over all
registered types, adding `TryGetType`
- `Security.Update()` will no call group by on data since this data is
already grouped by type. Adding `ContainsFillForwardData` will allows to
be lazy and not re loop through the data unless necessary
- `DefaultAlphaHandler` will use the `static`
`Enumerable.Empty<Insight>` instance when possible
- `SubscriptionSynchronizer` will be lazy to construct the
`universeData` dictionary which is not used in most of the times. Will
use `Count` vs `Any` -> `Count` is known by the dictionary
- For python algorithms `JobQueue` will respect `AlgorithmLocation`, was
using unexisting `"algorithm-path-python"`
- Renaming files from `Schedule...` to `Scheduled...` to match algorithm
name.
- Removed `ScheduledEvents` set every 5 seconds
- Increased the every day `ScheduledEvents` from 200 to 600
- The HistoryRequestBenchmark will now perform a daily and minute history
request at end of day.
- C# performance is at ~15k data points per second
- Python performance is at ~11k data points per second
We didn't experience the expected performance improvements. Locally under
unit test there was aboout an order of magnitude throughput increase, but
when run against the history benchmark, this new approach was 60% slower.
We're reverting this for now to perform further analysis and better
understand the performance profiling of the python history stack.
Louis Szeto