pepe
ef7857da31
- Root pyproject.toml + uv.lock: one pinned Python 3.12 environment for every cluster (the Project Manual's rule), as a uv workspace; cluster code folders are workspace members. - AICONTROL/: the AI & Control cluster package. spaces.py builds the 64-value observation and 4-value action spaces from configs/env.yaml; interface draft for the November session with Simulations; tests; clone-and-run README. - .gitignore: Python environment, caches, W&B runs, raw data downloads. - CLAUDE.md: repository guidance for Claude Code. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
52 lines
2 KiB
TOML
52 lines
2 KiB
TOML
# Team SHIFT — one pinned Python environment for every cluster.
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#
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# The Project Manual asks that everyone technical works in one repository from one pinned
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# Python environment. This file is that environment. The exact versions live in uv.lock;
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# `uv sync` at the repository root creates .venv/ with all of them, on any machine.
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#
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# Each cluster keeps its code in its own top-level folder (AICONTROL/, ...) as a workspace
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# member: add the folder to [tool.uv.workspace] members and its package name to
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# dependencies, and `uv sync` installs it in editable mode for everyone.
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[project]
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name = "shift"
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version = "0.1.0"
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description = "AI-managed hospital hydrogen microgrid — shared environment for all clusters"
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requires-python = ">=3.12,<3.13"
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dependencies = [
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# tables, maths, plots, tests — everyone
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"numpy>=2.0",
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"pandas>=2.2",
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"pyarrow>=17", # Parquet, the agreed format for machine-made tables
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"scipy>=1.14",
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"matplotlib>=3.9",
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"pyyaml>=6.0", # YAML settings and scenario files
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"pytest>=8.3",
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# Simulations cluster
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"pvlib>=0.11", # solar array model
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"pyomo>=6.8", # optimisation problems for the benchmark controllers
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"highspy>=1.8", # the HiGHS solver
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# AI cluster
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"gymnasium>=1.0", # the environment interface
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"stable-baselines3>=2.4",# ready-made RL algorithms (pulls in torch)
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"lightgbm>=4.5", # main forecasting model
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"scikit-learn>=1.5", # forecast baselines, sensor checks
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"optuna>=4.0", # settings search
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"wandb>=0.18", # experiment logging (Weights & Biases)
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"shap>=0.46", # explanations
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"streamlit>=1.39", # dashboard
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# cluster packages from this repository (editable, see [tool.uv.sources])
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"aicontrol",
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]
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[tool.uv]
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package = false # the root is an environment, not a library
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[tool.uv.sources]
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aicontrol = { workspace = true }
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[tool.uv.workspace]
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members = ["AICONTROL"]
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[tool.pytest.ini_options]
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testpaths = ["AICONTROL/tests"]
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