dockerfile

AGENTS.md

@@ -1,7 +1,7 @@
 # Repository Guidelines
 
 ## Project Structure & Module Organization
-The package is rooted at the repository top level. Core models live in `models.py`, the baseline agent in `inference.py`, the client helper in `client.py`, and topology analysis in `graph_analysis.py`. The FastAPI/OpenEnv server lives in `server/` with `app.py`, `grid_environment.py`, `tasks.py`, `graders.py`, and logging helpers. Tests are in `tests/`, reference docs in `docs/` and `architecture/`, and submission utilities in `submission/`. Runtime artifacts go under `outputs/logs/` and `outputs/evals/`.
+The package is rooted at the repository top level. Core models live in `models.py`, the baseline agent in `inference.py`, the client helper in `client.py`, and topology analysis in `graph_analysis.py`. The FastAPI/OpenEnv server lives in `server/` with `app.py`, `environment.py`, `tasks.py`, `graders.py`, and logging helpers. Tests are in `tests/`, reference docs in `docs/` and `architecture/`, and submission utilities in `submission/`. Runtime artifacts go under `outputs/logs/` and `outputs/evals/`.
 
 ## Build, Test, and Development Commands
 Use `uv` for local work.

Dockerfile

@@ -0,0 +1,20 @@
+FROM python:3.11-slim
+
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+ENV PIP_NO_CACHE_DIR=1
+
+WORKDIR /app
+
+COPY . /app
+
+RUN pip install --upgrade pip
+RUN pip install -r server/requirements.txt
+RUN pip install -e .
+
+# Pre-download the required Grid2Op dataset at build time.
+RUN python -c "import grid2op; env = grid2op.make('l2rpn_case14_sandbox'); env.close()"
+
+EXPOSE 7860
+
+CMD ["uvicorn", "grid2op_env.server.app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,3 +1,13 @@
+---
+title: Grid2Op Environment
+emoji: "⚡"
+colorFrom: blue
+colorTo: green
+sdk: docker
+app_port: 7860
+pinned: false
+---
+
 # Grid2Op Environment
 
 Standalone OpenEnv environment package for the full `PROJECT.md` design.
@@ -22,7 +32,7 @@ grid2op_env/
 │   └── evals/
 ├── pyproject.toml
 └── server/
-    ├── grid_environment.py
+    ├── environment.py
     ├── tasks.py
     ├── graders.py
     ├── app.py

pyproject.toml

@@ -27,7 +27,7 @@ lightsim = [
 
 [project.scripts]
 server = "grid2op_env.server.app:main"
-grid2op-smoke = "grid2op_env.server.grid_environment:smoke_main"
+grid2op-smoke = "grid2op_env.server.environment:smoke_main"
 
 [tool.setuptools]
 include-package-data = true

server/app.py

@@ -20,7 +20,7 @@ try:
         TaskListResponse,
     )
     from .graders import grade_episode
-    from .grid_environment import GridEnvironment
+    from .environment import GridEnvironment
     from .logging_utils import configure_logging
     from .tasks import task_list
 except ImportError:
@@ -38,7 +38,7 @@ except ImportError:
         TaskListResponse,
     )
     from server.graders import grade_episode
-    from server.grid_environment import GridEnvironment
+    from server.environment import GridEnvironment
     from server.logging_utils import configure_logging
     from server.tasks import task_list
 

server/requirements.txt

@@ -1,6 +1,7 @@
-openenv-core[core]>=0.2.2
-grid2op>=1.10.5
-numpy>=1.24.0
-openai>=2.7.2
-python-dotenv>=1.0.1
-requests>=2.31.0
+openenv-core[core]
+grid2op
+numpy
+openai
+python-dotenv
+requests
+numba

submission/README.md

@@ -114,7 +114,7 @@ Must include:
 - ✅ `reset()` produces clean state?
 - ✅ Action/observation types well-designed and documented?
 - ✅ Reward function provides useful varying signal (not just sparse)?
-- ✅ Episode boundaries sensible?
+- ✅ Episode boundaries sensible?dob
 
 #### Code quality & spec compliance (15%)
 - ✅ `openenv validate` passes?

tests/test_grid2op_env.py

@@ -24,7 +24,7 @@ from grid2op_env.server.graders import (
     grade_n_minus_1,
     grade_single_fault,
 )
-from grid2op_env.server.grid_environment import GridEnvironment
+from grid2op_env.server.environment import GridEnvironment
 from grid2op_env.server.tasks import TASKS, inject_scenario_raw