yandex-praktikum/de-project-sprint-8

1. This repository is currently a project scaffold rather than a working application. The only tracked content is the top-level README and two empty placeholder directories under src.

2. The main architectural boundary is the src folder, which is intended to hold the deliverables for the sprint. The README states that the repository structure is used for automated checking and feedback, so file placement matters as much as file contents.

3. src/dags is the pipeline-orchestration area. In data-engineering terms, this is where workflow definitions would live, most likely scheduled or dependency-driven jobs. The .keep file indicates the directory is intentionally empty for now.

4. src/scripts is the utility/execution area. This is typically where standalone helper jobs, batch scripts, or supporting logic would go if they are not part of the DAG definitions themselves. It is also empty except for .keep.

5. The README also mentions src/sql, although that directory is not present in the provided tree. That suggests the intended architecture includes a separate SQL layer for queries, transformations, or database-side logic, even if it has not been created yet.

6. There are no source files, package manifests, notebooks, or dependency descriptors in the tree. So there is currently no runtime, framework, or external service configured in-repo that affects the architecture diagram beyond the intended directory roles.

7. The repository is organized for submission workflow rather than application runtime: clone locally, make changes, commit, and push to GitHub. That means the repo itself functions as the submission artifact and code container, not as an executable service.

8. For an architecture diagram, the safest representation is a three-part code boundary under src: orchestration in dags, reusable/standalone logic in scripts, and SQL assets as described by the README. Since nothing is implemented yet, the diagram should emphasize intended separation of responsibilities rather than concrete data flows.

9. The only explicit infrastructure implied by the README is GitHub version control and the platform’s automated evaluation process. No databases, queues, object storage, or cloud services are named in the current materials.

10. In short: this repo is an empty data-engineering project skeleton with prescribed directories for workflow definitions and helper scripts, plus an intended SQL layer. The architecture is defined more by folder conventions and assessment constraints than by deployed components.