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* Support sourcing custom data from ObjectStore
* Add Python regression algorithm
* Wire engine to pass ObjectStore down to the stream readers
* Minor changes
* Minor unit tests fixes
* Remove unused SetupHandlerParameters.ObjectStore
* Minor changes
* Minor changes
* Support single-file zipped data to be sourced from object store
* Assert object store custom data history requests in regression algorithms
* Add custom object store data live data feed unit test
* Add multi-file object store custom data regression algorithms
* Minor fix
* Refactor chain providers
- ChainProviders will use quote, open interest and trade information,
which ever is first. Updating regression algorithm changing contract
being added.
- Add base BacktestingChainProvider for shared logic, reducing
duplication.
- ChainProviders will now use the given IDataCacheProvider and
IMapFileProvider
- If Providers are called for a date the exchange is closed they will
search for the previous available date where the exchange is open.
Adding unit tests.
* Address reviews. Logging improvements
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* Use lean data key as param for request
* key -> filePath rename and some cleanup
* Refactor
* Add Organizations Endpoints
* Add some organization api wrapper objects
* Address namespace issue
* Reorganize Api Test into seperate files using one ApiTestBase
* Add Organization tests
* Use capitalized "API" test namespace to reduce amount of file changes
* Add License to test base
* Update /data endpoint functions and response objects
* Update ApiDataProvider Logic
* Handle deserialization of organization products
* Simplify converter
* Only throw for equity requests when not subscribed to map/factor files
* Add missing header
* Make arguement exception
* Api adjustments
* Add Zip factor and map file providers
- Common project will now reference Compression project and not the other way
round.
- Adding Zip FactorFile and MapFile providers
* Refactor FactorFileProvider to use DataProvider to fetch files
* Use resulting MinimumDate in construction of FactorFile
* Nit FactorFile comments and arrangement
* Refactor MapFileProviders to use DataProvider for fetching files
* Refactor ZipFileProvider
* Clean up
* Refactor Backtesting Future/Option chain providers to use dataprovider
* Fixes for data/ endpoints and test adjustments
* Response objects adjustments/cleanups
* ApiDateProvider fixes and testing
* Add LocalZipFactorFileTests
* Update ApiDataProvider download test to verify stream is not null
* Implement posting of agreement summary and signed time
* Mark all Api related tests as explicit and document details on running
* Clarify default token on ApiTestBase
* Adjust summary
* Update Api responses for QCC, except org products which are sold in USD
* Implement cache expiration for zip MapFile and FactorFiles. Adding unit tests
* Fix multiple markets for ZipFactorFile provider
* Use Symbol as cache key
* Api.cs review
* Dispose of factorFileStream after reading
* Use zip.EntryFileNames
* Address a few reviews
* Few more fixes
* Address Api Review
* Add Job Org id to config
* Minor tweaks
* Compare with invariant culture
* Fixes Option Universe selection
* ZipEntryNameSubscriptionDataSourceReader will use IDataProvider
* Fix research
* Fix null reference exception
* Make duplicate log debug
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
This commit is squashed from iterative development:
- More consistent method naming
- Storage root path updated to be absolute and include algorithm name
- Storage root path created only if object store is actually used
- Implemented XML save/load
- Added missing unit tests
- Replaced Log.Trace with Log.Error calls
- Added the object store name logging in Engine.Main
- Read storage root from config
- Create algorithm storage root folder in Initialize
- Remove empty folder in Dispose
- Added null checks in all methods
- Added missing XML parameter docs
- make Initialize and Dispose virtual
- make AlgorithmStorageRoot protected
The IObjectStore abstraction provides algorithms with a persistent
storage mechanism. While the algorithm is running, data is maintained
in memory as a dictionary of raw bytes (string -> byte[]). This ensures
we avoid any reference type shenanigans. Periodically, the data in the
object store is persisted and additionally, when the algorithm shuts
down, the object store's data will again be persisted. This ensures that
when the algorithm starts up again, it will have access to any state
that has been saved into the object store.
A great use case for IObjectStore is saving a compute heavy model.
For example, computing the weights of a deep neural network is very
CPU intensive, but after the weights are computed, evaluation is fairly
quick. An initial backtest can be used to solved for the network's weights
and then subsequent backtests or even in live mode, the weights will be
available to the algorithm provided they were saved into the object store.
Also, some libraries require a file path to load model data. The object
store provides a `GetFilePath(key)` method which will copy the data for
the provided key to the disk and return that path so the library can load
the model data.