# abc-bench / task_cassiomolin_log_aggregation_spring_boot_elastic_stack__comments - taskset: [abc-bench](https://harnessreport.com/tasks/abc-bench.md) - difficulty: hard - category: DevTools - 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. # Comments API Exercise Complete the TODO inside `comment-service/src/main/java/com/cassiomolin/logaggregation/comment/service/impl/CommentServiceImpl.java` so the `/comments` endpoint returns the correct dataset for the provided `postId`. ## Requirements - Implement `getCommentsForPost(Long postId)` to log the beginning and the end of the lookup, including the `postId` and the number of comments found. - Filter the in-memory `COMMENTS` list for entries whose `postId` matches the input parameter while keeping the original order. - Return only the matching comments as the response body; if none match, return an empty list instead of `null`. - The method must remain side-effect free—do not mutate the shared `COMMENTS` data; create a new list for the result if transformation is needed. ## Constraints & Notes - No persistence layer is available, so the filtering must operate on the existing static `COMMENTS` collection. - Keep the service implementation synchronous and lightweight; no additional dependencies are needed outside what is already wired into the class. 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/cassiomolin_log-aggregation-spring-boot-elastic-stack/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