Jhonathan Abreu
0a9dc2c71c
* Fix pandas converter to handle list of data with different symbols * Properly convert list of data into dataframe Take into consideration data for multiple symbols in the same list * Cleanup * Index dataframes by symbol object instead of SID string * Add symbol equality operator to compare against object * Exclude "ID" from option chain dataframe * Minor fix * Add greeks columns directly in option chain dataframe. Also add pass-through properties for greek values in OptionUniverse * Some cleanup * Minor fix * Add new QCAlgorithm.OptionChains() method - Use OptionChains as output - Add DataFrame to OptionChain and OptionChains - Rename Greeks classes - Add ISymbolProvider for classes that have a symbol (IBaseData, OptionContract) * Unify QCAlgorithmOptionChain API Also refactor OptionContract to handle: (1) Actual market data and option price model data, and (2) OptionUniverse data * Pass symbol properties to OptionUniverse option chain from algorithm * Format OptionContract for dataframe * Minor fix * Add multiple option chains api regression algorithms and other minor changes * Address peer review Add NullGreeks class: keep ModeledGreeks as internal as possible * Minor fix and add PandasConverter unit tests * Peer review: Non-thread-safe Lazy for Python * Handle Greeks unwrapping by PandasData * PandasData cleanup * Add data and other minor changes * Unit test fix * Update Pythonnet to 2.0.39 * Cleanup * PandasData handling children class members Address peer review * Fix: indexing symbol conversion in pandas mapper * Fix pandas mapper to convert string keys to symbol only when necessary * Cleanup * Cleanup * Add PandasColumn python class to handle proper indexing This allows propery hash and equality between Symbols, C# strings and Python strings * Minor fixes * Symbol cache improvements * Minor fix for cache miss * Revert PandasMapper reserved names and improvements * Minor fix * Revert reserved names * Minor fix for Symbol equality operators --------- Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
QuantConnect Testing
Before starting any testing, follow the installation instructions to get LEAN running C# algorithms in your machine. For any Python related tests please ensure you have followed the setup as described here.
If the above installation, build, and initial run was successful than we can move forward to testing.
Visual Studio:
Locating Tests
- Open Visual Studios
- Open Test Explorer ("Test" > "Test Explorer")
- The list should populate itself as it reads all the tests it found during the build process. If not, press "Run All Tests" and let VS find all of the tests.
- From here select the tests you would like to run and begin running them.
Failed Test Logs
- On a failed test, check the test for information by clicking on the desired test and selecting "Open Additional Output"
- This will show the stack trace and where the code failed to meet the testing requirements.
Common Problems
Having .NetFramework issues with testing?
- Install NUnit3TestAdapter for VS
Missing dependencies for Python Algorithm?
- Use pip or conda to install the module.