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@jezdez jezdez released this 15 Apr 22:54
v0.1.0
1570ee2
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jezdez Jannis Leidel
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Added

  • Core solver module (resolve.py) with ResolvedPackage and SolveResult dataclasses using slots=True for memory efficiency.
  • Split architecture: CLI uses conda's Environment model directly via solve_environments(), server uses lightweight custom types via solve() for fast JSON serialization.
  • Shared dispatch() helper for single- and multi-platform solving, with per-platform error handling for the server path.
  • Multi-platform parallel solving via ProcessPoolExecutor with persistent worker pool for cross-request cache reuse.
  • Cross-platform virtual package injection (configure_platform()) using context._cache_ for thread-safe platform configuration with conservative defaults (glibc 2.17, linux 5.15, osx 11.0).
  • Thread-safe solver invocation via platform_lock to prevent concurrent requests from racing on process-global state.
  • In-memory repodata index cache with threading.Lock-guarded check-then-build for thundering herd protection, and explicit clear_index_cache() invalidation.
  • HTTP API (app.py) built on Starlette with /solve, /solve/environment-yml, /health, and /cache/clear endpoints.
  • anyio.CapacityLimiter to cap concurrent solver threads and abandon_on_cancel=True for client disconnect handling.
  • Request body size limit (1 MB), input type validation (both JSON and YAML endpoints), Content-Length header validation, and sanitized error responses (no internal stack traces leaked).
  • Repodata cache pre-warming on server startup via warmup(), offloaded from the event loop with anyio.to_thread.run_sync.
  • CLI with resolve as the default action and --serve flag for the HTTP server. Uses conda's environment specifier plugins for input and exporter plugins for output.
  • Custom resolve-json environment exporter providing full package metadata (sha256, md5, urls, sizes, dependencies) as the default CLI output format.
  • Conda subcommand plugin (conda presto) with lazy imports to keep plugin load under 1 ms.
  • Lazy uvicorn import in cmd_serve() to reduce CLI startup overhead by ~100 ms for non-server invocations.
  • Performance tuning via pixi activation env: CONDA_SOLVER=rattler, CONDA_CHANNEL_PRIORITY=strict, CONDA_NO_LOCK=true, CONDA_UNSATISFIABLE_HINTS=false, CONDA_NUMBER_CHANNEL_NOTICES=0, CONDA_AGGRESSIVE_UPDATE_PACKAGES="", CONDA_LOCAL_REPODATA_TTL=300, CONDA_JSON=true.
  • Comprehensive test suite with pytest, pytest-benchmark, pytest-cov, and httpx for async API testing. 99% code coverage with a 95% fail_under threshold enforced on every run.
  • Hyperfine benchmark fixtures (benchmarks/) for end-to-end CLI performance tracking.
  • GitHub Actions CI workflow with lint, test, and benchmark jobs.
  • Dependabot configuration for GitHub Actions version updates.
  • BSD 3-Clause license.
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