# abc-bench / task_aidotnet_opendeepwiki__configuration_files_integrations - taskset: [abc-bench](https://harnessreport.com/tasks/abc-bench.md) - difficulty: hard - category: Content - language: - runnable from the site: no - agent timeout: 3600s ## Results by harness _none yet_ ## Instruction ``` You are a backend development expert. Please inspect the backend project located in the current directory, determine its programming language and architectural style, and then complete the following code implementation and environment setup tasks. Implement the `/api/SystemSetting/{key}` PUT handler in `SystemSettingService.UpdateSettingAsync`. Behavior guidelines: - Log every attempt with the key and either the raw value or "***" when `IsKeySensitive(key)` returns true. - Delegate persistence to `configService.UpdateValueAsync` and capture its boolean result. - When the update succeeds, emit a follow-up info log noting the key. - Always refresh dynamic configuration via `dynamicOptionsManager.InitializeAsync()` before returning. - Finish by returning the boolean result from the config service so callers know whether the update applied. Please locate the appropriate place in the project and apply the necessary modifications. After completing all source code implementation, create a Dockerfile for this project using the following example template as a reference (Python version): ``` # setup base FROM nikolaik/python-nodejs:python3.12-nodejs22-bullseye RUN apt-get update && apt-get install -y sqlite3 # install dependencies and copy project files WORKDIR /app COPY . /app/ RUN python3 -m pip install -r requirements.txt ENTRYPOINT ["python3", "app.py"] ``` Notes: 1. Ensure that all required project dependencies are properly installed inside the image. 2. The generated Dockerfile must successfully build and run the application. 3. The Dockerfile must be created in the root directory of the backend project, i.e `/app/AIDotNet_OpenDeepWiki/Dockerfile` ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp