# abc-bench / task_bretfisher_node_docker_good_defaults__documents - taskset: [abc-bench](https://harnessreport.com/tasks/abc-bench.md) - difficulty: hard - category: Infrastructure - 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. Wire up the data retrieval layer for GET /documents. Implementation details 1. Use the already-initialized MongoDB client exposed through the module-level db variable. If it has not been populated yet, immediately call next with an Error explaining that the service is still waiting for a database connection. 2. When db is ready, query the "documents" collection for every record, convert the cursor to an array, and send the array as JSON using res.json. 3. If MongoDB returns an error, log it to stdout/stderr and call next with a generic Error describing that the service could not talk to the database. 4. Successful responses must be well-formed JSON arrays whose objects at least contain a string "name" and an array-of-strings "tags" field, matching the schema expected by the functional tests. 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/BretFisher_node-docker-good-defaults/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