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SciMesh/AGENTS.md

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Repository Guidelines

Project Structure & Module Organization

SciMesh is a Python package for molecular-similarity workloads. Source lives in scimesh/: chemistry/ reads data and makes fingerprints, workloads/ contains commands, and core/ provides the workload protocol and registry. The worker daemon in scimesh/worker/ is a coordinator client, not a database client. Tests are in tests/; specifications in docs/; roadmap: PLAN.md.

For distributed work, read .agents/, docs/api-contract.md, and STATUS.md. Use one CTX task per pull request; local workloads are the scientific reference.

Build, Test, and Development Commands

Create a virtual environment, install the package with development tools, and run the suite:

python -m venv .venv
source .venv/bin/activate
pip install -e '.[dev]'
pytest

Use pytest tests/test_similarity_graph.py for one module. Exercise the CLI with scimesh help or scimesh similarity-search --help. Run python -m build only when packaging is needed; install build first if necessary.

Coding Style & Naming Conventions

Target Python 3.10+; type public APIs and exchanged data. Use four spaces, snake_case for modules, functions, and variables, PascalCase for classes, and descriptive test names such as test_graph_is_deterministic_across_block_sizes. Keep CLI parsing in workload modules and register new workloads through scimesh/core/registry.py; do not add workload-specific logic to the main CLI.

Prefer few dependencies. RDKit is the chemistry dependency. For worker/coordinator work, keep network payloads explicit and multi-line; never make the worker access PostgreSQL directly.

Testing Guidelines

Use pytest and add a regression test for every defect. Similarity code must be checked against a small brute-force or fully sorted reference. Graph results must be deterministic, have no self-loops or duplicate pairs, and remain stable for different block sizes. Worker changes need success and failure tests: checksum mismatch, lease failure, upload failure, and safe reporting. Run the full pytest suite before committing.

Commit & Pull Request Guidelines

Use short imperative commit subjects, for example Add graph threshold mode or Fix worker result and lease contracts. Keep one logical change per commit. In a pull request, state the problem, behaviour changed, tests run, and any API or documentation changes. Link the relevant CTX-* item in PLAN.md for distributed work. Do not commit datasets, generated CSV/PNG files, .venv/, tokens, or local worker artifacts.

Security & Protocol Rules

Upload worker results through the coordinator before posting completion; never submit file:// or worker:// result URIs. Send failures to /failure, not /result. Do not log bearer tokens, raw tracebacks, or private local paths.