Roman Yavnikov 541682fa4e
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feat: add CreateOAuthTokenHandler factory to Brokerage base class (#9330)
* feat: add CreateOAuthTokenHandler factory to Brokerage base class

Introduce AuthenticationFailed event on TokenHandler raised when all
retry attempts are exhausted. Add CreateOAuthTokenHandler<TRequest,TResponse>
protected factory method on Brokerage that wires the event to OnMessage
(BrokerageMessageType.Error), triggering graceful Lean shutdown on
OAuth token refresh failure without requiring per-brokerage error logic.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* refactor: token retry logic: move to OAuthTokenHandler

* refactor: replace generic OAuthTokenHandler with non-generic, require explicit token lifetime

- Remove generic type parameters <TRequest, TResponse> from OAuthTokenHandler and
  CreateOAuthTokenHandler; use LeanAccessTokenMetaDataRequest and
  AccessTokenMetaDataResponse directly
- Delete abstract AccessTokenMetaDataRequest; logic moved to LeanAccessTokenMetaDataRequest
- Make tokenLifetime a required constructor parameter — each brokerage must explicitly
  declare its OAuth token lifetime to prevent silent 1-hour fallback bugs
- Move expiry tracking into the handler via _tokenExpiresAt (written under lock before the
  volatile write of _tokenCredentials, ensuring correct visibility on the fast path)
- Simplify AccessTokenMetaDataResponse to a concrete class with { get; set; } properties

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* test: add unit tests for OAuthTokenHandler and AccessTokenMetaDataResponse

- Make ApiConnection.TryRequest<T>(HttpRequestMessage) virtual to allow
  test subclasses to intercept without real HTTP calls
- Add AccessTokenMetaDataResponseTests: two parameterized cases verify that
  TokenType defaults to Bearer when absent from JSON (CharlesSchwab pattern)
  and deserializes correctly when present (Tastytrade pattern)
- Add OAuthTokenHandlerTests with FakeApiConnection stub:
  CharlesSchwab-style response (no tokenType, 30-min lifetime) and
  Tastytrade-style response (explicit tokenType + expiresIn/tokenId, 15-min lifetime)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* refactor: backward-compatible OAuth auth with new LeanOAuthTokenHandler hierarchy

- Restore master API: OAuthTokenHandler<TReq,TRes>, AccessTokenMetaDataRequest,
  AccessTokenMetaDataResponse, and TokenHandler stay source-compatible for old consumers
- Extend TokenHandler with AuthenticationFailed event; simplify Send() (auth header only)
- Add LeanOAuthTokenHandler: non-generic, thread-safe double-checked locking, explicit
  tokenLifetime, retry logic in GetAccessToken, fires AuthenticationFailed on exhaustion
- Add OAuthTokenRequest / OAuthTokenResponse: concrete Lean platform request/response
- Brokerage.CreateOAuthTokenHandler wires AuthenticationFailed to graceful shutdown
- Update tests: OAuthTokenResponseTests, LeanOAuthTokenHandlerTests, TokenHandlerTests

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Some tweaks

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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lean-header

Build Status     Regression Tests     LEAN Forum     Discord Chat

Lean Home | Documentation | Download Zip | Docker Hub | Nuget

features-header

LEAN is an event-driven, professional-caliber algorithmic trading platform built with a passion for elegant engineering and deep quant concept modeling. Out-of-the-box alternative data and live-trading support.

feature-list

modular-header LEAN is modular in design, with each component pluggable and customizable. It ships with models for all major plug-in points.

modular-architecture

cli-header lean-animation

QuantConnect Lean CLI is a command-line interface tool for interacting with the Lean algorithmic trading engine, which is an open-source platform for backtesting and live trading algorithms in multiple financial markets. It allows developers to manage projects, run backtests, deploy live algorithms, and perform various other tasks related to algorithmic trading directly from the terminal. The CLI simplifies the workflow by automating tasks, enabling seamless integration with cloud services, and facilitating collaboration with the QuantConnect community. It's designed for quant developers who need a powerful and flexible tool to streamline their trading strategies. Please watch the instructions videos to learn more.

Installation

pip install lean

Commands

Create a new project containing starter code

lean project-create

Run a local Jupyter Lab environment using Docker

lean research

Backtest a project locally using Docker

lean backtest

Optimize a project locally using Docker

lean optimize

Start live trading a project locally using Docker

lean live

Download the LEAN CLI Cheat Sheet for the full list of commands.

modular-architecture

diagram

modular-architecture

This section will cover how to install lean locally for you to use in your environment. For most users we strongly recommend the LEAN CLI which is prebuilt and runs on all platforms. Refer to the following readme files for a detailed guide regarding using your local IDE with Lean.

To install locally, download the zip file with the latest master and unzip it to your favorite location. Alternatively, install Git and clone the repo:

git clone https://github.com/QuantConnect/Lean.git
cd Lean

macOS

NOTE: Visual Studio for Mac has been discontinued, use Visual Studio Code instead

  • Install Visual Studio Code for Mac
  • Install the C# Dev Kit extension
  • Install dotnet 9 SDK:
  • To build the solution, either:
    • choose Run Task > build from the Panel task dropdown, or
    • from the command line run
      dotnet build
      
  • To run the solution, either:
    • choose Run and Debug from the Activity Bar, then click Launch, or
    • click F5, or
    • from the command line run
      cd Launcher/bin/Debug
      dotnet QuantConnect.Lean.Launcher.dll
      

Linux (Debian, Ubuntu)

  • Install dotnet 9:
  • Compile Lean Solution:
dotnet build QuantConnect.Lean.sln
  • Run Lean:
cd Launcher/bin/Debug
dotnet QuantConnect.Lean.Launcher.dll

Windows

  • Install Visual Studio
  • Open QuantConnect.Lean.sln in Visual Studio
  • Build the solution by clicking Build Menu -> Build Solution (this should trigger the NuGet package restore)
  • Press F5 to run

Python Support

A full explanation of the Python installation process can be found in the Algorithm.Python project.

Local-Cloud Hybrid Development.

Seamlessly develop locally in your favorite development environment, with full autocomplete and debugging support to quickly and easily identify problems with your strategy. Please see the CLI Home for more information.

Issues and Feature Requests

Please submit bugs and feature requests as an issue to the Lean Repository. Before submitting an issue, please read the instructions to ensure it is not duplicated.

Mailing List

The mailing list for the project can be found on LEAN Forum. Please use this to ask for assistance with your installation and setup questions.

Contributors and Pull Requests

Contributions are warmly welcomed, but we ask you to read the existing code to see how it is formatted and commented on and ensure contributions match the existing style. All code submissions must include accompanying tests. Please see the contributor guidelines. All accepted pull requests will get a $50 cloud credit on QuantConnect. Once your pull request has been merged, write to us at support@quantconnect.com with a link to your PR to claim your free live trading. QC <3 Open Source.

A huge thank you to all our contributors!


Acknowledgements

The open sourcing of QuantConnect would not have been possible without the support of the Pioneers. The Pioneers formed the core 100 early adopters of QuantConnect who subscribed and allowed us to launch the project into open source.

Ryan H, Pravin B, Jimmie B, Nick C, Sam C, Mattias S, Michael H, Mark M, Madhan, Paul R, Nik M, Scott Y, BinaryExecutor.com, Tadas T, Matt B, Binumon P, Zyron, Mike O, TC, Luigi, Lester Z, Andreas H, Eugene K, Hugo P, Robert N, Christofer O, Ramesh L, Nicholas S, Jonathan E, Marc R, Raghav N, Marcus, Hakan D, Sergey M, Peter McE, Jim M, INTJCapital.com, Richard E, Dominik, John L, H. Orlandella, Stephen L, Risto K, E.Subasi, Peter W, Hui Z, Ross F, Archibald112, MooMooForex.com, Jae S, Eric S, Marco D, Jerome B, James B. Crocker, David Lypka, Edward T, Charlie Guse, Thomas D, Jordan I, Mark S, Bengt K, Marc D, Al C, Jan W, Ero C, Eranmn, Mitchell S, Helmuth V, Michael M, Jeremy P, PVS78, Ross D, Sergey K, John Grover, Fahiz Y, George L.Z., Craig E, Sean S, Brad G, Dennis H, Camila C, Egor U, David T, Cameron W, Napoleon Hernandez, Keeshen A, Daniel E, Daniel H, M.Patterson, Asen K, Virgil J, Balazs Trader, Stan L, Con L, Will D, Scott K, Barry K, Pawel D, S Ray, Richard C, Peter L, Thomas L., Wang H, Oliver Lee, Christian L..

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QuantConnect 开发的 Lean 算法交易引擎,支持 Python 和 C#。|GitHub 镜像 21.4k · 🍴 5.2k
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