Stefano Raggi
0c4e577885
Regression Tests / build (push) Has been cancelled
Build & Test Lean / build (push) Has been cancelled
* Update BinanceBrokerage to handle more than 512 symbols * Address review - fetch symbol weights only if required - remove code duplication * Add rate limiting for new connections * Update WebSocketMessage to include the websocket instance * Handle resubscriptions on reconnect * Address review * Address review * Remove unnecessary locking * WebSocketClientWrapper updates - remove allocation of receive buffer on each message - add missing lock in Close method - log message data when message type is Close - fix race condition after unexpected websocket close * Set WebSocketClientWrapper task to LongRunning * Add missing check in GetHistory * Fix exceptions with Binance downloader - closes #5794 * Update Bitfinex symbols in symbol properties database * Update BitfinexBrokerage to use BrokerageMultiWebSocketSubscriptionManager * Address review * Remove unnecessary locking * Remove old channels on resubscription
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 succesful 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.