diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 59677ac3..8b9d7154 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -69,6 +69,29 @@ jobs: - name: Run pytest run: uv run pytest -q + openenv: + name: OpenEnv runtime tests + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v7.0.0 + + - name: Set up uv + uses: astral-sh/setup-uv@v8.3.0 + with: + enable-cache: true + python-version: "3.12" + + - name: Install project + dev dependencies + run: uv sync --group dev --frozen + + # The `openenv` extra stays out of the lock so the default install and the + # 3.13/3.14 matrix legs stay lean; --with pulls it just for this job, which + # is what makes the runtime invariants (agent path confinement, the + # agent/orchestration split, the client wire contract) actually run in CI + # instead of skipping. + - name: Run OpenEnv export + runtime tests + run: uv run --with openenv --with docker pytest tests/test_openenv_export.py -q + build: name: Build sdist + wheel runs-on: ubuntu-latest diff --git a/README.md b/README.md index 9d70eb87..42f33a47 100644 --- a/README.md +++ b/README.md @@ -155,6 +155,7 @@ A dataset that: - **Is verifiable** — every task carries an executable test (`test_execution`) or a stored oracle diff (`diff_similarity`); your trainer picks the reward type. - **Is content-addressed** — a `content_hash` over each task; identical artifacts ⇒ identical hash. - **Trains anywhere via Harbor** — TRL, SkyRL, Prime-RL, Tinker, Miles, Slime, harbor.rl. +- **Runs on OpenEnv unchanged** — `repo2rlenv export --format openenv` wraps a dataset in a deployable [OpenEnv](https://github.com/huggingface/OpenEnv) environment (Docker image or HF Space), and OpenEnv's own `harbor_env` serves the task dirs directly. Either way the verifier's reward is forwarded, not recomputed. See [OpenEnv compatibility](./docs/reference/OPENENV.md). - **Evaluates with any agent harness** — Claude Code, OpenHands, Codex CLI, Gemini CLI, … - **Is language-agnostic by spec** — runtime pipelines emit a Dockerfile + shell verifier; `pr_diff` is pure text and works for any language. - **Publishes natively** to the Hub — `repo2rlenv push` writes a Harbor-compatible `registry.json` so consumers `harbor download` (or `repo2rlenv pull`) with zero glue. @@ -193,7 +194,8 @@ Fastest jumps: - [**RepoLaunch**](https://github.com/microsoft/RepoLaunch) (Microsoft) — LLM-agent env setup; our `bootstrap` is an independent reimplementation - [**OpenReward**](https://docs.openreward.ai) — ORS protocol + extra trainer integrations above Harbor - [**SWE-Gym**](https://github.com/SWE-Gym/SWE-Gym) — RL-environment framing for SWE-bench-style tasks -- [**verifiers**](https://github.com/willccbb/verifiers) (Prime Intellect), [**OpenEnv**](https://github.com/meta-pytorch/OpenEnv) (Meta + HF) — adjacent standardization efforts +- [**verifiers**](https://github.com/willccbb/verifiers) (Prime Intellect) — adjacent standardization effort +- [**OpenEnv**](https://github.com/huggingface/OpenEnv) (Meta + HF) — Gymnasium-style env standard; we **emit it as a second target** (`repo2rlenv export --format openenv`) and its `harbor_env` also **runs our task dirs directly** ([compatibility guide](./docs/reference/OPENENV.md)) Every pipeline that draws from external work carries an Acknowledgment block in its `.py` file. No code is copied — implementations are independent and Apache-2.0 licensed. See [`docs/reference/RELATED_WORK.md`](./docs/reference/RELATED_WORK.md) for the full per-pipeline provenance plus adjacent papers, datasets, and frameworks (incl. recent Microsoft and NVIDIA code-RL work). diff --git a/docs/reference/OPENENV.md b/docs/reference/OPENENV.md new file mode 100644 index 00000000..dc9b8af5 --- /dev/null +++ b/docs/reference/OPENENV.md @@ -0,0 +1,226 @@ +# Running Repo2RLEnv datasets on OpenEnv + +[OpenEnv](https://github.com/huggingface/OpenEnv) is a Gymnasium-style standard +for containerized agentic environments — `reset()` / `step()` / `state()` over a +WebSocket, deployable as a Docker image or a Hugging Face Space. + +Repo2RLEnv datasets run on it with **no change to the task data**. There are two +ways to get there, and both serve the exact directories `generate` emitted: + +| | What it is | Use it when | +|---|---|---| +| **`repo2rlenv export --format openenv`** | We emit a deployable environment package around your dataset — `Dockerfile`, `openenv.yaml`, Space card, server. Runs on the `repo2rlenv[openenv]` runtime. | You want a standalone image or a Hugging Face Space, with no OpenEnv checkout involved. | +| **OpenEnv's `harbor_env`** | OpenEnv's own generic runtime for Harbor task directories. Point it at your dataset. | You already work inside an OpenEnv checkout, or you mix our tasks with other Harbor producers. | + +Either way the reward comes from your task's own `tests/test.sh` and is only +forwarded. Neither path rewrites, re-authors, or copies the task format. + +## Quick start — export a deployable environment + +```bash +# 1. Synthesize tasks from a repository +repo2rlenv generate --repo pallets/click --pipeline pr_runtime \ + --pipeline-opt limit=10 --llm anthropic/claude-sonnet-4-6 --out ./tasks + +# 2. Wrap them in an OpenEnv environment +pip install 'repo2rlenv[openenv]' +repo2rlenv export --format openenv ./tasks --out ./click-env + +# 3. Run it. Task containers start on the host daemon, so mount the socket. +docker build -t click-env ./click-env +docker run --rm -p 8000:8000 -v /var/run/docker.sock:/var/run/docker.sock click-env +``` + +```python +import asyncio +from repo2rlenv.openenv import Repo2RLEnvClient + +async def main(): + env = Repo2RLEnvClient(base_url="http://localhost:8000") + start = await env.reset(task_id="pallets__click-2951") + print(start.observation.instruction) # instruction.md + + await env.write_file("src/click/core.py", patched) # the agent's edit + result = await env.evaluate() # runs tests/test.sh + + print(result.reward) # the verifier's score + print(result.observation.info["reward_details"]) # F2P/P2P breakdown + await env.close() + +asyncio.run(main()) +``` + +The emitted package is thin — `server/app.py` is two lines over +`repo2rlenv.openenv.build_app`, and `tasks/` holds your task directories byte for +byte. The runtime lives in `repo2rlenv.openenv`, so it is versioned, tested and +upgraded like the rest of the library rather than generated into your output. + +`export` writes `README.md` with Hugging Face Space front-matter (`sdk: docker`), +so the emitted directory can be pushed straight to a Space. + +### Options + +| Flag | Default | Meaning | +|---|---|---| +| `--out` | `-openenv` | Where to write the package | +| `--name` | dataset directory name | Environment name in `openenv.yaml` and the Space card | +| `--requirement` | `repo2rlenv[openenv]>=` | The requirement the image installs — pin a release, a git ref, or a local wheel | +| `--base-image` | `python:3.12-slim` | Base image for the server | +| `--port` | `8000` | Port the server listens on | + +## Why there is nothing to convert + +The projects sit at different layers and agree on the one contract that +matters — **the reward is produced inside the environment and only forwarded**. + +| Layer | Repo2RLEnv | Harbor | OpenEnv | +|---|---|---|---| +| Makes the task | ✅ synthesis pipelines | — | — | +| Defines the task format | emits it | ✅ owns it | consumes it | +| Runs a batch evaluation | — | ✅ `harbor run` | — | +| Serves an episode loop for training | ✅ `export --format openenv` | — | ✅ `reset` / `step` / `state` | + +What the runtime does with each file is identical on both sides: + +| Task file | Under `harbor run` | Under an OpenEnv runtime | +|---|---|---| +| `instruction.md` | the agent's prompt | the observation returned by `reset()` | +| working directory | what the agent edits | `step(exec / read / write)` | +| `tests/test.sh` | the verifier phase | `step(evaluate)` | +| `/logs/verifier/reward.{json,txt}` | the trial's reward | `observation.reward`, forwarded verbatim | +| `solution/solve.sh` | the oracle agent | `step(solve)` | +| `environment/Dockerfile` | the sandbox image | the sandbox image | + +## Serving with OpenEnv's `harbor_env` instead + +OpenEnv ships `harbor_env`, a generic runtime for any Harbor task directory. It +needs no export step at all — point it at the dataset: + +```bash +# 1. Confirm every task is solvable by its own oracle before training on it +# (from an OpenEnv checkout; `--with docker` supplies the Docker SDK) +PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \ + --tasks ./tasks --mode docker + +# 2. Serve the task set +HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server +``` + +```python +# 3. Drive it like any OpenEnv environment +import asyncio +from harbor_env import HarborEnv + +async def main(): + env = HarborEnv(base_url="http://localhost:8000") + start = await env.reset(task_id="pallets__click-2951") + print(start.observation.instruction) # instruction.md + + await env.write_file("src/click/core.py", patched) # the agent's edit + result = await env.evaluate() # runs tests/test.sh + + print(result.reward) # the verifier's score + print(result.observation.info["reward_details"]) # F2P/P2P breakdown + await env.close() + +asyncio.run(main()) +``` + +Datasets published with `repo2rlenv push` keep their tasks under `tasks//`; +that layout is discovered automatically, so a Hub dataset can be served directly: + +```bash +HARBOR_TASKS_DIR=hf://datasets// HARBOR_MODE=docker \ + uv run --project envs/harbor_env server +``` + +## Which tasks can actually run + +**Every runtime task needs Docker**, because every pipeline puts the repository +state inside the image the task carries — that is the whole point of the +`environment/Dockerfile` we emit. + +| Pipeline | Emits `environment/Dockerfile` | Runnable | +|---|:-:|---| +| `pr_runtime`, `commit_runtime`, `cve_patches` | ✅ | yes, Docker | +| `code_instruct`, `equivalence_tests` | ✅ | yes, Docker | +| `pr_diff` (default `emit_harbor_env=True`) | ✅ | yes, Docker | +| `pr_diff` with `emit_harbor_env=False` | ❌ (no `tests/` either) | no — score the stored diff client-side with `repo2rlenv.reward.calculate_diff_similarity_reward` | + +`repo2rlenv export` reports how many of the bundled tasks are runnable and says +so in the emitted Space card; the runtime refuses a task with no image and no +verifier rather than grading an empty directory. `harbor_env`'s Docker-free +`local` backend is for *self-contained* tasks that ship their starting files in +`environment/`, which is not the shape any of our pipelines emit. + +Because a Hugging Face Space cannot run Docker-in-Docker, a Space built from +`export` serves the API but cannot start task containers — run Repo2RLEnv task +sets on a Docker-capable host, or use a Space only as a front end. + +When a dataset has been published with `repo2rlenv push`, +`[metadata.repo2env.reproducibility]` records `mode = "registry"` and a pullable +`image_ref`. Our runtime pulls that image instead of rebuilding the Dockerfile, +so a pushed dataset starts episodes without a build step. + +## Rewards + +Our verifiers write the files Harbor specifies, and both runtimes read them in +Harbor's order — `reward.json` first, then `reward.txt`: + +| Pipeline | `reward.txt` | Also written | +|---|---|---| +| `pr_runtime`, `commit_runtime`, `cve_patches` | `f2p_rate × p2p_rate` | `reward-details.json` — `resolved`, F2P/P2P counts, regressions, `parse_status` | +| `pr_diff` | 6-component `diff_similarity` | `reward-details.json` — per-component scores, weights, judge status | + +Both runtimes surface the sidecar as `observation.info["reward_details"]` and any +flat metrics from `reward.json` as `observation.info["reward_metrics"]`, so the +training signal and the diagnostic breakdown both survive the trip. + +A verifier that writes no reward file produces **no reward** on the OpenEnv side +(`reward=None` plus an explicit error), not a `0.0` — the same rule that makes +our `reward.txt` contract trustworthy in the first place. + +See [SPEC](./SPEC.md) and [REWARD_SCHEMA](./REWARD_SCHEMA.md) for the full +emitted contract. + +## Verified + +The task-directory shape we emit — `version = "1.0"`, `[metadata.repo2env]`, +`environment/Dockerfile` with `WORKDIR /workspace`, a `tests/test.sh` writing +`/logs/verifier/reward.txt` — was built with our own emitter and run through all +three runtimes. They agree: + +| Runtime | No-op agent | Oracle (`solution/solve.sh`) | +|---|---|---| +| `harbor run` (Harbor 0.20.0) | 0.0 | 1.0 | +| `repo2rlenv export --format openenv` | 0.0 | 1.0 | +| OpenEnv `harbor_env`, `docker` mode | 0.0 | 1.0 | + +On the OpenEnv side the working directory resolves to `/workspace` from the +image, the scalar is read from `reward.txt`, and `reward-details.json` arrives +intact as `observation.info["reward_details"]` (F2P/P2P counts, `resolved`, +`parse_status`). + +The exported environment was verified as a *built container*, not just in +process: `docker build` on the emitted Dockerfile, run with the host Docker +socket mounted, then driven over the WebSocket API — `reset` → `write_file` → +`evaluate` — taking the same task from 0.0 to 1.0 through an agent edit rather +than the oracle. + +## Where the code lives + +| Piece | Module | +|---|---| +| Task emission (Harbor format) | `repo2rlenv.emitter.harbor` | +| Environment emission (OpenEnv package) | `repo2rlenv.emitter.openenv` | +| Reading an emitted dataset | `repo2rlenv.openenv.dataset` | +| Reward-file contract | `repo2rlenv.openenv.reward` | +| Docker sandbox | `repo2rlenv.openenv.sandbox` | +| Gymnasium environment | `repo2rlenv.openenv.environment` | +| Trainer-facing client | `repo2rlenv.openenv.Repo2RLEnvClient` | + +Only the serving modules need the extra; `repo2rlenv.openenv.dataset` and +`repo2rlenv.emitter.openenv` work with a plain `pip install repo2rlenv`, so +`export` runs without pulling in the OpenEnv stack. + +See also [Related work](./RELATED_WORK.md). diff --git a/docs/reference/RELATED_WORK.md b/docs/reference/RELATED_WORK.md index 2eeb71e2..f082ffbc 100644 --- a/docs/reference/RELATED_WORK.md +++ b/docs/reference/RELATED_WORK.md @@ -49,7 +49,7 @@ our datasets into a trainer. - **NeMo Gym** (NVIDIA) — [NVIDIA-NeMo/Gym](https://github.com/NVIDIA-NeMo/Gym) (Apache-2.0). 100+ RLVR environments for LLMs incl. Mini-SWE-Agent / OpenHands SWE agents and a Harbor harness; the closest analogue to Repo2RLEnv's goal, sharing the Harbor ecosystem. - **SkyRL** (UC Berkeley NovaSky) — [NovaSky-AI/SkyRL](https://github.com/NovaSky-AI/SkyRL) (Apache-2.0) · *SkyRL-Agent* [arXiv:2511.16108](https://arxiv.org/abs/2511.16108). Full-stack RL training framework targeting long-horizon SWE-bench-style agentic tasks; references Harbor. - **verifiers** (Prime Intellect) — [PrimeIntellect-ai/verifiers](https://github.com/PrimeIntellect-ai/verifiers). Defines "environment = dataset + harness + rubric/reward", the closest competing spec to our task+verifier emission. -- **OpenEnv** (Meta PyTorch + Hugging Face) — [meta-pytorch/OpenEnv](https://github.com/meta-pytorch/OpenEnv). Gymnasium-style `step()/reset()/state()` standard for containerized agentic environments with a shared Hub; adjacent standardization effort to our Harbor emission + HF Hub bridge. +- **OpenEnv** (Meta PyTorch + Hugging Face) — [huggingface/OpenEnv](https://github.com/huggingface/OpenEnv) (pip `openenv`; also mirrored at [meta-pytorch/OpenEnv](https://github.com/meta-pytorch/OpenEnv)). Gymnasium-style `step()/reset()/state()` standard for containerized agentic environments with a shared Hub. **We target it as a first-class emission format**: `repo2rlenv export --format openenv` wraps a dataset in a deployable environment (`repo2rlenv.openenv` runtime), and OpenEnv's own `harbor_env` serves our Harbor task dirs directly — `instruction.md` becomes the first observation, `tests/test.sh` becomes `step(evaluate)`, and the reward is forwarded from `/logs/verifier/reward.{json,txt}` rather than recomputed. See [OpenEnv compatibility](./OPENENV.md). - **rLLM** (Agentica) — [rllm-org/rllm](https://github.com/rllm-org/rllm). "Run agent → collect traces → reward → update" post-training stack; used to train DeepSWE on R2E-Gym environments. ### Automated environment setup / dockerization (the `bootstrap/` problem) diff --git a/mkdocs.yml b/mkdocs.yml index 75a5de75..58a557b3 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -175,6 +175,7 @@ nav: - Environment variables: reference/ENV.md - Registry auth: reference/REGISTRY_AUTH.md - Related work: reference/RELATED_WORK.md + - OpenEnv compatibility: reference/OPENENV.md - Contributing: - Adding a pipeline: contributing/ADDING_A_PIPELINE.md - Release notes: diff --git a/pyproject.toml b/pyproject.toml index e6f77e91..63824b46 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,6 +39,16 @@ dependencies = [ "tomli-w>=1.2.0", ] +[project.optional-dependencies] +# Serve emitted datasets as OpenEnv environments (`repo2rlenv export --format +# openenv`, `repo2rlenv.openenv`). Kept optional so the default install stays +# lean — reading a dataset needs neither of these. +openenv = [ + "openenv>=0.4.1", + "docker>=7.1.0", + "uvicorn[standard]>=0.30.0", +] + [project.scripts] repo2rlenv = "repo2rlenv.cli:main" diff --git a/src/repo2rlenv/cli.py b/src/repo2rlenv/cli.py index 4c8bc92a..22a3a84f 100644 --- a/src/repo2rlenv/cli.py +++ b/src/repo2rlenv/cli.py @@ -3,6 +3,7 @@ Subcommands: generate Run a synthesis pipeline against a repo (emits to local dir) validate Validate a generated dataset directory (fast structural check) + export Wrap a dataset in a deployable environment package (OpenEnv) bootstrap Build a working Docker image via an LLM agent loop push Push a local dataset directory to HF Hub pull Pull a Repo2RLEnv dataset from HF Hub to a local directory @@ -19,6 +20,7 @@ from typing import Any from repo2rlenv import __version__ +from repo2rlenv.emitter.openenv import DEFAULT_BASE_IMAGE, DEFAULT_PORT from repo2rlenv.ui import console, install_logging logger = logging.getLogger("repo2rlenv") @@ -312,6 +314,59 @@ def cmd_generate(args: argparse.Namespace) -> int: return 0 if result.emitted > 0 else 1 +def cmd_export(args: argparse.Namespace) -> int: + """Wrap an emitted dataset in a deployable environment package.""" + from repo2rlenv.emitter.openenv import EmitError, write_openenv_env + + dataset_dir = Path(args.dataset).expanduser().resolve() + if not dataset_dir.is_dir(): + console.error(f"no such dataset directory: {dataset_dir}") + return 1 + + out_dir = ( + Path(args.out).expanduser().resolve() + if args.out + else dataset_dir.parent / f"{dataset_dir.name}-openenv" + ) + + with console.section(f"Exporting {dataset_dir} as {args.format}"): + try: + package = write_openenv_env( + dataset_dir, + out_dir, + name=args.name, + description=args.description, + requirement=args.requirement, + base_image=args.base_image, + port=args.port, + ) + except EmitError as exc: + console.error(str(exc)) + return 1 + + console.kv( + { + "env_name": package.name, + "out_dir": str(package.path), + "tasks": package.task_count, + "runnable": package.runnable_task_count, + }, + title="OpenEnv environment", + ) + if package.runnable_task_count < package.task_count: + console.warn( + f"{package.task_count - package.runnable_task_count} task(s) carry no image or " + "verifier — text-only tasks are scored against solution/patch.diff, not executed" + ) + console.dim(f" docker build -t {package.name} {package.path}") + console.dim( + f" docker run --rm -p {args.port}:{args.port} " + f"-v /var/run/docker.sock:/var/run/docker.sock {package.name}" + ) + console.success(f"exported {package.task_count} task(s) to {package.path}") + return 0 + + def cmd_validate(args: argparse.Namespace) -> int: import tomllib @@ -914,6 +969,46 @@ def main(argv: list[str] | None = None) -> int: v.add_argument("path", help="dataset or task directory") v.set_defaults(func=cmd_validate) + # export + e = sub.add_parser( + "export", + help="Wrap a generated dataset in a deployable environment package", + description=( + "Emit a runnable environment around an existing dataset. The tasks are copied " + "unchanged — this adds a serving layer, it does not convert the data." + ), + ) + e.add_argument("dataset", help="dataset directory (output of `generate`)") + e.add_argument( + "--format", + choices=["openenv"], + default="openenv", + help="environment format to emit (default: openenv)", + ) + e.add_argument( + "--out", + help="output directory (default: -openenv next to the dataset)", + ) + e.add_argument("--name", help="environment name (default: the dataset directory name)") + e.add_argument("--description", help="one-line description for the manifest and Space card") + e.add_argument( + "--requirement", + help=( + "repo2rlenv requirement the image installs " + "(default: repo2rlenv[openenv]>=). Use this to pin a release, " + "a git ref, or a local wheel." + ), + ) + e.add_argument( + "--base-image", + default=DEFAULT_BASE_IMAGE, + help=f"base image for the server (default: {DEFAULT_BASE_IMAGE})", + ) + e.add_argument( + "--port", type=int, default=DEFAULT_PORT, help=f"server port (default: {DEFAULT_PORT})" + ) + e.set_defaults(func=cmd_export) + # push p = sub.add_parser("push", help="Push a local dataset directory to HF Hub") p.add_argument( diff --git a/src/repo2rlenv/emitter/__init__.py b/src/repo2rlenv/emitter/__init__.py index 666773e1..ce245498 100644 --- a/src/repo2rlenv/emitter/__init__.py +++ b/src/repo2rlenv/emitter/__init__.py @@ -1,5 +1,16 @@ -"""Task emitters — currently only Harbor.""" +"""Task and environment emitters. + +`harbor` writes the task directories; `openenv` wraps a directory of them in a +deployable OpenEnv environment. +""" from repo2rlenv.emitter.harbor import HarborTask, write_harbor_task +from repo2rlenv.emitter.openenv import EmitError, OpenEnvPackage, write_openenv_env -__all__ = ["HarborTask", "write_harbor_task"] +__all__ = [ + "EmitError", + "HarborTask", + "OpenEnvPackage", + "write_harbor_task", + "write_openenv_env", +] diff --git a/src/repo2rlenv/emitter/openenv.py b/src/repo2rlenv/emitter/openenv.py new file mode 100644 index 00000000..d392d472 --- /dev/null +++ b/src/repo2rlenv/emitter/openenv.py @@ -0,0 +1,338 @@ +"""Write a deployable OpenEnv environment around an emitted dataset. + +Where `harbor.py` emits the *tasks*, this emits the *environment that serves +them*: a directory you can `docker build`, `docker run`, or push to a Hugging +Face Space, which then speaks OpenEnv's `reset()` / `step()` / `state` API. + + / + openenv.yaml OpenEnv manifest + Dockerfile builds the server image + README.md Space card (front-matter + usage) + pyproject.toml declares the repo2rlenv[openenv] dependency + server/app.py two lines over repo2rlenv.openenv.build_app + tasks//... the emitted task directories, copied verbatim + +The tasks are copied *unchanged* — this adds a serving layer, it does not +convert the data. The runtime lives in `repo2rlenv.openenv`, so the emitted +package stays thin config rather than generated logic. + +---------------------------------------------------------------------------- +Acknowledgment +---------------------------------------------------------------------------- +The environment layout and manifest schema (`openenv.yaml`, the FastAPI + +WebSocket server contract, the Space packaging) are defined by: + + OpenEnv (Meta PyTorch + Hugging Face) + https://github.com/huggingface/OpenEnv (BSD-3-Clause) + +We target that format directly so our datasets are servable by any +OpenEnv-compatible trainer. No OpenEnv code is copied; the emitted package +depends on the published `openenv` distribution. + +Released under Apache-2.0. +---------------------------------------------------------------------------- +""" + +from __future__ import annotations + +import shutil +from dataclasses import dataclass +from pathlib import Path + +import yaml + +from repo2rlenv import __version__ +from repo2rlenv.openenv.dataset import TaskSet + +#: Port the emitted server listens on. Hugging Face Spaces routes to this. +DEFAULT_PORT = 8000 + +#: Base image for the emitted server. Slim + Docker CLI is all it needs; the +#: task containers run on the host daemon, not inside this image. +DEFAULT_BASE_IMAGE = "python:3.12-slim" + + +class EmitError(ValueError): + """Raised when a dataset cannot be turned into an environment.""" + + +@dataclass(frozen=True) +class OpenEnvPackage: + """What `write_openenv_env` produced. + + Attributes: + path: the emitted environment directory. + name: the environment name written into `openenv.yaml`. + task_count: how many task directories were bundled. + runnable_task_count: how many of those can actually be executed. + """ + + path: Path + name: str + task_count: int + runnable_task_count: int + + +def write_openenv_env( + dataset_dir: str | Path, + dest_dir: str | Path, + *, + name: str | None = None, + description: str | None = None, + requirement: str | None = None, + base_image: str = DEFAULT_BASE_IMAGE, + port: int = DEFAULT_PORT, +) -> OpenEnvPackage: + """Emit an OpenEnv environment serving the tasks in `dataset_dir`. + + Args: + dataset_dir: a directory of emitted tasks (the output of `generate`). + dest_dir: where to write the environment package. + name: environment name; defaults to the dataset directory name. + description: one-line description for the manifest and Space card. + requirement: the repo2rlenv requirement the image installs. Defaults to + `repo2rlenv[openenv]>=`; override to pin a + release, a git ref, or a local wheel. + base_image: base image for the server. + port: port the server listens on. + + Returns: + OpenEnvPackage describing what was written. + + Raises: + EmitError: if `dataset_dir` holds no tasks. + """ + source = Path(dataset_dir).expanduser().resolve() + dest = Path(dest_dir).expanduser().resolve() + + task_set = TaskSet(source) + task_ids = task_set.task_ids() + if not task_ids: + raise EmitError(f"no task.toml files found under {source}; is this a generated dataset?") + + tasks = [task_set.get(tid) for tid in task_ids] + runnable = [t for t in tasks if t.runnable] + env_name = _slug(name or source.name) + summary = description or _describe(tasks) + requirement = requirement or f"repo2rlenv[openenv]>={__version__}" + + dest.mkdir(parents=True, exist_ok=True) + (dest / "server").mkdir(exist_ok=True) + + _copy_tasks(tasks, dest / "tasks") + (dest / "openenv.yaml").write_text(_manifest(env_name, summary, port), encoding="utf-8") + (dest / "Dockerfile").write_text( + _dockerfile(env_name, base_image, requirement, port), encoding="utf-8" + ) + (dest / "pyproject.toml").write_text( + _pyproject(env_name, summary, requirement), encoding="utf-8" + ) + (dest / "README.md").write_text( + _readme(env_name, summary, tasks, runnable, port), encoding="utf-8" + ) + (dest / "server" / "__init__.py").write_text( + '"""Server package for the emitted OpenEnv environment."""\n', encoding="utf-8" + ) + (dest / "server" / "app.py").write_text(_app_module(), encoding="utf-8") + (dest / ".dockerignore").write_text("__pycache__/\n*.pyc\n.venv/\n", encoding="utf-8") + + return OpenEnvPackage( + path=dest, + name=env_name, + task_count=len(tasks), + runnable_task_count=len(runnable), + ) + + +def _copy_tasks(tasks, tasks_root: Path) -> None: + """Copy each task directory under `tasks//`, replacing any old copy.""" + if tasks_root.exists(): + shutil.rmtree(tasks_root) + tasks_root.mkdir(parents=True) + for task in tasks: + shutil.copytree(task.path, tasks_root / task.task_id, dirs_exist_ok=True) + + +def _manifest(name: str, description: str, port: int) -> str: + """The `openenv.yaml` manifest OpenEnv tooling reads.""" + payload = { + "spec_version": 1, + "name": name, + "version": "0.1.0", + "description": description, + "type": "space", + "runtime": "fastapi", + "app": "server.app:app", + "port": port, + "action": "Repo2RLEnvAction", + "observation": "Repo2RLEnvObservation", + } + return yaml.safe_dump(payload, sort_keys=False) + + +def _app_module() -> str: + return '''"""FastAPI entry point for this environment. + +The runtime lives in `repo2rlenv.openenv`; this module only names it so the +image has a stable import path (`server.app:app`). +""" + +from repo2rlenv.openenv import build_app + +app = build_app() +''' + + +def _dockerfile(name: str, base_image: str, requirement: str, port: int) -> str: + return f"""# Serves this dataset over OpenEnv's WebSocket API. +# +# Task containers run on the HOST Docker daemon, so the socket must be mounted: +# +# docker build -t {name} . +# docker run --rm -p {port}:{port} -v /var/run/docker.sock:/var/run/docker.sock {name} +# +FROM {base_image} + +# git backs `git apply` in the oracle path; the docker CLI is handy for +# debugging the task containers this server starts. +RUN apt-get update \\ + && apt-get install -y --no-install-recommends ca-certificates curl git \\ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +RUN pip install --no-cache-dir "{requirement}" "uvicorn[standard]" + +COPY server/ /app/server/ +COPY tasks/ /app/tasks/ + +ENV REPO2RLENV_TASKS_DIR=/app/tasks +ENV PYTHONUNBUFFERED=1 + +EXPOSE {port} +HEALTHCHECK --interval=30s --timeout=3s --start-period=10s --retries=3 \\ + CMD curl -f http://localhost:{port}/health || exit 1 + +CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "{port}"] +""" + + +def _pyproject(name: str, description: str, requirement: str) -> str: + return f"""[build-system] +requires = ["setuptools>=61", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "{name}" +version = "0.1.0" +description = "{description}" +requires-python = ">=3.10" +dependencies = [ + "{requirement}", + "uvicorn[standard]>=0.30.0", +] + +[tool.setuptools] +packages = ["server"] +""" + + +def _readme(name: str, description: str, tasks, runnable, port: int) -> str: + """Hugging Face Space card: YAML front-matter plus usage.""" + pipelines = sorted({t.pipeline for t in tasks if t.pipeline}) + unrunnable = len(tasks) - len(runnable) + lines = [ + "---", + f"title: {name}", + 'emoji: "🧪"', + "colorFrom: indigo", + "colorTo: purple", + "sdk: docker", + f"app_port: {port}", + "pinned: false", + "tags:", + " - openenv", + " - repo2rlenv", + " - rl", + "---", + "", + f"# {name}", + "", + description, + "", + "Generated by [Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) with", + "`repo2rlenv export --format openenv`. The tasks under `tasks/` are the", + "unmodified [Harbor](https://www.harborframework.com/docs/tasks) task", + "directories `repo2rlenv generate` emitted, so the same dataset also runs", + "under `harbor run`.", + "", + "## Contents", + "", + f"- **{len(tasks)}** task(s)" + (f", **{len(runnable)}** runnable" if unrunnable else ""), + ] + if pipelines: + lines.append(f"- Pipeline(s): {', '.join(pipelines)}") + if unrunnable: + lines.append( + f"- {unrunnable} text-only task(s) carry no image or verifier and are scored " + "against `solution/patch.diff` client-side rather than executed." + ) + lines += [ + "", + "## Run it", + "", + "```bash", + f"docker build -t {name} .", + "# task containers run on the host daemon, so mount the socket", + f"docker run --rm -p {port}:{port} \\", + " -v /var/run/docker.sock:/var/run/docker.sock \\", + f" {name}", + "```", + "", + "```python", + "import asyncio", + "from repo2rlenv.openenv import Repo2RLEnvClient", + "", + "async def main():", + f' env = Repo2RLEnvClient(base_url="http://localhost:{port}")', + f' start = await env.reset(task_id="{tasks[0].task_id}")', + " print(start.observation.instruction)", + "", + ' await env.run("pytest -q") # the agent works', + " result = await env.evaluate() # the task's own verifier grades it", + " print(result.reward)", + " await env.close()", + "", + "asyncio.run(main())", + "```", + "", + "## Rewards", + "", + "The reward is produced by each task's own `tests/test.sh` and only", + "forwarded — never recomputed here. A verifier that writes no reward file", + "yields `reward=None` and an explicit error rather than a fabricated `0.0`.", + "The diagnostic breakdown (F2P/P2P counts, `resolved`, `parse_status`)", + 'arrives as `observation.info["reward_details"]`.', + "", + "## Configuration", + "", + "| Variable | Default | Meaning |", + "|---|---|---|", + "| `REPO2RLENV_TASKS_DIR` | `/app/tasks` | Where the tasks live |", + "| `REPO2RLENV_DEFAULT_TASK_ID` | — | Task used when `reset()` names none |", + "| `REPO2RLENV_COMMAND_TIMEOUT_S` | `120` | Timeout for agent `exec` actions |", + "| `MAX_CONCURRENT_ENVS` | `8` | Concurrent WebSocket sessions |", + "", + ] + return "\n".join(lines) + + +def _describe(tasks) -> str: + pipelines = sorted({t.pipeline for t in tasks if t.pipeline}) + suffix = f" ({', '.join(pipelines)})" if pipelines else "" + return f"{len(tasks)} verifiable Repo2RLEnv task(s) served as an OpenEnv environment{suffix}" + + +def _slug(value: str) -> str: + cleaned = "".join(ch if (ch.isalnum() or ch in "-_") else "-" for ch in value.lower()) + return cleaned.strip("-") or "repo2rlenv-env" diff --git a/src/repo2rlenv/openenv/__init__.py b/src/repo2rlenv/openenv/__init__.py new file mode 100644 index 00000000..b116dc75 --- /dev/null +++ b/src/repo2rlenv/openenv/__init__.py @@ -0,0 +1,96 @@ +"""Serve Repo2RLEnv datasets as OpenEnv environments. + +[OpenEnv](https://github.com/huggingface/OpenEnv) is a Gymnasium-style standard +for containerized agentic environments — `reset()` / `step()` / `state` over a +WebSocket, deployable as a Docker image or a Hugging Face Space. + +This subpackage is the second serving target alongside Harbor: the tasks are the +same directories `repo2rlenv generate` already writes, and this runtime serves +them as an episode loop a trainer can drive. + + repo2rlenv generate --repo pallets/click --pipeline pr_runtime --out ./tasks + repo2rlenv export --format openenv ./tasks --out ./click-env + docker build -t click-env ./click-env + docker run --rm -p 8000:8000 -v /var/run/docker.sock:/var/run/docker.sock click-env + +The serving pieces need the optional extra: + + pip install 'repo2rlenv[openenv]' + +Because a task's starting state lives inside the image it carries, the runtime +is Docker-backed. When a dataset has been published with `repo2rlenv push`, +`[metadata.repo2env.reproducibility]` names an already-pushed image and the +runtime pulls it instead of rebuilding. + +Serving names resolve lazily, so reading a dataset (`TaskSet`, +`Repo2RLEnvTask`) works with a plain `pip install repo2rlenv`; only the names +that actually serve traffic pull in `openenv`. +""" + +from __future__ import annotations + +from typing import Any + +from repo2rlenv.openenv.dataset import Repo2RLEnvTask, TaskFormatError, TaskSet +from repo2rlenv.openenv.reward import RewardReport, read_reward + +#: Attribute name -> submodule providing it. Everything listed here imports +#: `openenv`, so it is resolved on first access rather than at import time. +_LAZY: dict[str, str] = { + "AGENT_ACTIONS": "models", + "CONTROL_ACTIONS": "models", + "DockerSandbox": "sandbox", + "Repo2RLEnvAction": "models", + "Repo2RLEnvClient": "client", + "Repo2RLEnvEnvironment": "environment", + "Repo2RLEnvObservation": "models", + "Repo2RLEnvState": "models", + "SandboxError": "sandbox", + "build_app": "app", +} + +__all__ = [ + "AGENT_ACTIONS", + "CONTROL_ACTIONS", + "DockerSandbox", + "Repo2RLEnvAction", + "Repo2RLEnvClient", + "Repo2RLEnvEnvironment", + "Repo2RLEnvObservation", + "Repo2RLEnvState", + "Repo2RLEnvTask", + "RewardReport", + "SandboxError", + "TaskFormatError", + "TaskSet", + "build_app", + "read_reward", +] + + +def __getattr__(name: str) -> Any: + """Import the serving names on demand (PEP 562). + + Keeps `repo2rlenv.openenv.dataset` usable without the `openenv` extra + installed, while `from repo2rlenv.openenv import Repo2RLEnvClient` still + works for anyone who has it. + """ + module_name = _LAZY.get(name) + if module_name is None: + raise AttributeError(f"module {__name__!r} has no attribute {name!r}") + + from importlib import import_module + + try: + module = import_module(f"{__name__}.{module_name}") + except ImportError as exc: # pragma: no cover - depends on install extras + raise ImportError( + f"{name} needs the OpenEnv runtime: pip install 'repo2rlenv[openenv]' ({exc})" + ) from exc + value = getattr(module, name) + globals()[name] = value # cache so __getattr__ runs once per name + return value + + +def __dir__() -> list[str]: + return sorted(__all__) diff --git a/src/repo2rlenv/openenv/app.py b/src/repo2rlenv/openenv/app.py new file mode 100644 index 00000000..1b49d3fa --- /dev/null +++ b/src/repo2rlenv/openenv/app.py @@ -0,0 +1,65 @@ +"""FastAPI application factory for a Repo2RLEnv OpenEnv environment. + +An emitted environment package's `server/app.py` is a two-liner over this: + + from repo2rlenv.openenv import build_app + app = build_app() + +Configuration is entirely by environment variable, so the same image serves any +dataset: + + REPO2RLENV_TASKS_DIR directory of emitted tasks (default: ./tasks) + REPO2RLENV_DEFAULT_TASK_ID task used when reset() names none + REPO2RLENV_COMMAND_TIMEOUT_S timeout for agent exec actions (default: 120) + MAX_CONCURRENT_ENVS concurrent WebSocket sessions (default: 8) +""" + +from __future__ import annotations + +import os +from typing import Any + +from openenv.core.env_server.http_server import create_app + +from repo2rlenv.openenv.environment import DEFAULT_COMMAND_TIMEOUT_S, Repo2RLEnvEnvironment +from repo2rlenv.openenv.models import Repo2RLEnvAction, Repo2RLEnvObservation + + +def build_app(**kwargs: Any): + """Build the FastAPI app serving the configured dataset. + + Args: + **kwargs: forwarded to `openenv.core.env_server.http_server.create_app`. + + Returns: + The FastAPI application. + """ + + def _factory() -> Repo2RLEnvEnvironment: + """Called once per session by the server.""" + return Repo2RLEnvEnvironment( + command_timeout_s=float( + os.getenv("REPO2RLENV_COMMAND_TIMEOUT_S", DEFAULT_COMMAND_TIMEOUT_S) + ), + ) + + kwargs.setdefault("env_name", "repo2rlenv") + kwargs.setdefault("max_concurrent_envs", int(os.getenv("MAX_CONCURRENT_ENVS", "8"))) + return create_app(_factory, Repo2RLEnvAction, Repo2RLEnvObservation, **kwargs) + + +def main(host: str = "0.0.0.0", port: int = 8000) -> None: + """Run the server directly: `python -m repo2rlenv.openenv.app`.""" + import uvicorn + + uvicorn.run(build_app(), host=host, port=port) + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser(description="Serve a Repo2RLEnv dataset over OpenEnv") + parser.add_argument("--host", default="0.0.0.0") + parser.add_argument("--port", type=int, default=8000) + args = parser.parse_args() + main(host=args.host, port=args.port) diff --git a/src/repo2rlenv/openenv/client.py b/src/repo2rlenv/openenv/client.py new file mode 100644 index 00000000..999eb6be --- /dev/null +++ b/src/repo2rlenv/openenv/client.py @@ -0,0 +1,93 @@ +"""Client for a Repo2RLEnv OpenEnv environment. + +This is what a trainer imports. It never imports anything from the server side. +""" + +from __future__ import annotations + +from typing import Any + +from openenv.core.client_types import StepResult +from openenv.core.env_client import EnvClient + +from repo2rlenv.openenv.models import ( + Repo2RLEnvAction, + Repo2RLEnvObservation, + Repo2RLEnvState, +) + + +class Repo2RLEnvClient(EnvClient[Repo2RLEnvAction, Repo2RLEnvObservation, Repo2RLEnvState]): + """Drives a Repo2RLEnv task server over OpenEnv's WebSocket API. + + `run` / `read_file` / `write_file` are what an agent does; `evaluate` grades + the episode and ends it, and `solve` applies the task's oracle patch. + + Example: + + import asyncio + from repo2rlenv.openenv import Repo2RLEnvClient + + async def main(): + env = Repo2RLEnvClient(base_url="http://localhost:8000") + start = await env.reset(task_id="pallets__click-2951") + print(start.observation.instruction) + + await env.write_file("src/click/core.py", patched) + result = await env.evaluate() + print(result.reward, result.observation.info["reward_details"]) + await env.close() + + asyncio.run(main()) + """ + + async def run( + self, command: str, timeout_s: float | None = None + ) -> StepResult[Repo2RLEnvObservation]: + """Run a shell command in the task's working directory.""" + return await self.step( + Repo2RLEnvAction(action_type="exec", command=command, timeout_s=timeout_s) + ) + + async def read_file(self, path: str) -> StepResult[Repo2RLEnvObservation]: + """Read a file, relative to the task's working directory.""" + return await self.step(Repo2RLEnvAction(action_type="read", path=path)) + + async def write_file(self, path: str, content: str) -> StepResult[Repo2RLEnvObservation]: + """Write a file, relative to the task's working directory.""" + return await self.step(Repo2RLEnvAction(action_type="write", path=path, content=content)) + + async def evaluate(self) -> StepResult[Repo2RLEnvObservation]: + """Run the task's verifier and end the episode. + + The reward is whatever `tests/test.sh` wrote; the per-metric breakdown + is in `observation.info`. + """ + return await self.step(Repo2RLEnvAction(action_type="evaluate")) + + async def solve(self) -> StepResult[Repo2RLEnvObservation]: + """Apply the task's oracle patch. + + Orchestration tooling for validating a dataset, not part of an agent's + action space. Follow with `evaluate` to confirm full reward. + """ + return await self.step(Repo2RLEnvAction(action_type="solve")) + + # --- wire protocol ------------------------------------------------------ + + def _step_payload(self, action: Repo2RLEnvAction) -> dict[str, Any]: + return action.model_dump() + + def _parse_result(self, payload: dict[str, Any]) -> StepResult[Repo2RLEnvObservation]: + data = dict(payload.get("observation", {})) + data["reward"] = payload.get("reward") + data["done"] = payload.get("done", False) + observation = Repo2RLEnvObservation.model_validate(data) + return StepResult( + observation=observation, + reward=observation.reward, + done=observation.done, + ) + + def _parse_state(self, payload: dict[str, Any]) -> Repo2RLEnvState: + return Repo2RLEnvState.model_validate(payload) diff --git a/src/repo2rlenv/openenv/dataset.py b/src/repo2rlenv/openenv/dataset.py new file mode 100644 index 00000000..c564ff45 --- /dev/null +++ b/src/repo2rlenv/openenv/dataset.py @@ -0,0 +1,344 @@ +"""Read an emitted Repo2RLEnv dataset back off disk. + +`repo2rlenv generate` writes Harbor task directories; this module turns one of +those directories back into a value object the OpenEnv runtime can serve, and +discovers many of them under a dataset root. + +Nothing here executes anything — see `sandbox.py` for that. + +A Repo2RLEnv task is a Harbor task plus the `[metadata.repo2env]` table, which +is what lets us do better than a generic Harbor runtime: when a dataset has been +pushed with `repo2rlenv push`, `[metadata.repo2env.reproducibility]` names a +pullable image and we skip the build entirely. +""" + +from __future__ import annotations + +import tomllib +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any + +TASK_CONFIG_FILE = "task.toml" +INSTRUCTION_FILE = "instruction.md" + +DEFAULT_AGENT_TIMEOUT_S = 1800.0 +DEFAULT_VERIFIER_TIMEOUT_S = 300.0 + +#: How deep `TaskSet` descends looking for task directories. Enough for a flat +#: `generate --out` directory, the `tasks//` layout `push` stages to the +#: Hub, and one level of grouping above either. +_MAX_DISCOVERY_DEPTH = 4 + +#: `[metadata.repo2env.reproducibility].mode` values written by `push`. +#: Only `registry` guarantees `image_ref` is pullable. +REPRO_MODE_REGISTRY = "registry" + + +class TaskFormatError(ValueError): + """Raised when a directory is not a well-formed Repo2RLEnv task.""" + + +#: Harbor's network policies, from `[environment].network_mode`. +NETWORK_NONE = "no-network" +NETWORK_PUBLIC = "public" +NETWORK_ALLOWLIST = "allowlist" + +_NETWORK_MODES = frozenset({NETWORK_NONE, NETWORK_PUBLIC, NETWORK_ALLOWLIST}) + + +@dataclass(frozen=True) +class Repo2RLEnvTask: + """One emitted task directory, parsed. + + Attributes: + task_id: Directory path relative to the dataset root; what `reset()` selects on. + path: Absolute path to the task directory. + name: `[task].name`, the qualified `/` form. + description: `[task].description`. + instruction: `instruction.md` — the prompt handed to the agent. + schema_version: Top-level `version` (Harbor spells this `schema_version`). + pipeline: Which synthesis pipeline produced the task. + reward_kinds: Reward kinds the pipeline declared it emits. + content_hash: Content address of the task, for provenance. + repro_mode: `reproducibility.mode` — registry / inline_dockerfile / local_only. + image_ref: Image named by `reproducibility.image_ref`, if any. + metadata: The full `[metadata.repo2env]` table, verbatim. + agent_timeout_s: `[agent].timeout_sec`. + verifier_timeout_s: `[verifier].timeout_sec`. + """ + + task_id: str + path: Path + name: str + description: str + instruction: str + schema_version: str + pipeline: str = "" + reward_kinds: tuple[str, ...] = () + content_hash: str = "" + repro_mode: str = "" + image_ref: str | None = None + metadata: dict[str, Any] = field(default_factory=dict) + agent_timeout_s: float = DEFAULT_AGENT_TIMEOUT_S + verifier_timeout_s: float = DEFAULT_VERIFIER_TIMEOUT_S + network_mode: str = NETWORK_PUBLIC + cpus: int | None = None + memory_mb: int | None = None + gpus: int | None = None + agent_user: str | None = None + verifier_user: str | None = None + declared_workdir: str | None = None + + # --- layout ------------------------------------------------------------- + + @property + def environment_dir(self) -> Path: + return self.path / "environment" + + @property + def tests_dir(self) -> Path: + return self.path / "tests" + + @property + def solution_dir(self) -> Path: + return self.path / "solution" + + @property + def dockerfile(self) -> Path | None: + """`environment/Dockerfile`, or None for a text-only (lite) task.""" + candidate = self.environment_dir / "Dockerfile" + return candidate if candidate.is_file() else None + + @property + def test_script(self) -> Path | None: + """`tests/test.sh` — the verifier, absent on lite tasks.""" + candidate = self.tests_dir / "test.sh" + return candidate if candidate.is_file() else None + + @property + def solve_script(self) -> Path | None: + """`solution/solve.sh` — the oracle shim that applies patch.diff.""" + candidate = self.solution_dir / "solve.sh" + return candidate if candidate.is_file() else None + + @property + def oracle_diff(self) -> Path | None: + """`solution/patch.diff` — the canonical oracle artifact.""" + candidate = self.solution_dir / "patch.diff" + return candidate if candidate.is_file() else None + + @property + def pullable_image(self) -> str | None: + """The image to pull instead of building, when one is guaranteed to exist. + + Only `mode = "registry"` means `repo2rlenv push` actually pushed the + image somewhere pullable. `local_only` and `inline_dockerfile` both + carry an `image_ref` that may exist on no machine but the one that + generated the task, so those build from `environment/Dockerfile`. + """ + if self.repro_mode == REPRO_MODE_REGISTRY and self.image_ref: + return self.image_ref + return None + + @property + def runnable(self) -> bool: + """Whether the task can be executed and graded. + + `pr_diff` with `emit_harbor_env=False` emits neither a Dockerfile nor a + verifier: it is a stored-diff task, scored client-side against + `solution/patch.diff` rather than by running anything. + """ + return self.dockerfile is not None or self.pullable_image is not None + + def summary(self) -> dict[str, Any]: + """A JSON-serializable digest, surfaced in observations and state.""" + return { + "task_id": self.task_id, + "name": self.name, + "description": self.description, + "pipeline": self.pipeline, + "reward_kinds": list(self.reward_kinds), + "content_hash": self.content_hash, + "repro_mode": self.repro_mode, + "image_ref": self.image_ref, + "runnable": self.runnable, + "has_verifier": self.test_script is not None, + "has_oracle": self.solve_script is not None, + } + + # --- loading ------------------------------------------------------------ + + @classmethod + def load(cls, path: str | Path, task_id: str | None = None) -> Repo2RLEnvTask: + """Parse the task directory at `path`. + + Raises: + TaskFormatError: if `task.toml` is missing or unparsable. + """ + task_dir = Path(path).expanduser().resolve() + config_path = task_dir / TASK_CONFIG_FILE + if not config_path.is_file(): + raise TaskFormatError(f"{task_dir} is not a task directory: no {TASK_CONFIG_FILE}") + + try: + config = tomllib.loads(config_path.read_text(encoding="utf-8")) + except Exception as exc: + raise TaskFormatError(f"could not parse {config_path}: {exc}") from exc + + task_table = _table(config, "task") + metadata = _table(config, "metadata") + repo2env = _table(metadata, "repo2env") + repro = _table(repo2env, "reproducibility") + environment = _table(config, "environment") + + instruction_path = task_dir / INSTRUCTION_FILE + instruction = ( + instruction_path.read_text(encoding="utf-8") + if instruction_path.is_file() + else str(task_table.get("description", "")) + ) + + reward_kinds = repo2env.get("reward_kinds") + return cls( + task_id=task_id or task_dir.name, + path=task_dir, + name=str(task_table.get("name", task_dir.name)), + description=str(task_table.get("description", "")), + instruction=instruction, + # We write `version`; Harbor's own tasks spell it `schema_version`. + schema_version=str(config.get("version") or config.get("schema_version") or "unknown"), + pipeline=str(repo2env.get("pipeline", "")), + reward_kinds=tuple(str(k) for k in reward_kinds) + if isinstance(reward_kinds, list) + else (), + content_hash=str(repo2env.get("content_hash", "")), + repro_mode=str(repro.get("mode", "")), + image_ref=(str(repro["image_ref"]) if repro.get("image_ref") else None), + metadata=repo2env, + agent_timeout_s=_timeout(config, "agent", DEFAULT_AGENT_TIMEOUT_S), + verifier_timeout_s=_timeout(config, "verifier", DEFAULT_VERIFIER_TIMEOUT_S), + network_mode=_network_mode(environment), + cpus=_positive_int(environment.get("cpus")), + memory_mb=_positive_int(environment.get("memory_mb")), + gpus=_positive_int(environment.get("gpus")), + agent_user=_user(_table(config, "agent").get("user")), + verifier_user=_user(_table(config, "verifier").get("user")), + declared_workdir=str(environment["workdir"]) if environment.get("workdir") else None, + ) + + +class TaskSet: + """Discovers Repo2RLEnv tasks under a dataset root. + + Any directory holding a `task.toml` is a task, and discovery does not + descend into one once found. That covers the flat layout `generate --out` + writes, the `tasks//` layout `push` stages, and a single task directory + passed directly. + """ + + def __init__(self, root: str | Path) -> None: + self.root = Path(root).expanduser().resolve() + self._discovered: dict[str, Path] | None = None + + def task_ids(self) -> list[str]: + """Sorted identifiers of every task under the root.""" + return sorted(self._task_dirs()) + + def refresh(self) -> None: + """Forget the cached scan so the next lookup re-reads the filesystem.""" + self._discovered = None + + def get(self, task_id: str) -> Repo2RLEnvTask: + """Load one task by identifier, or by bare directory name when unique. + + Raises: + KeyError: if nothing matches, or a bare name is ambiguous. + """ + available = self._task_dirs() + if task_id in available: + return Repo2RLEnvTask.load(available[task_id], task_id=task_id) + + matches = [tid for tid in available if Path(tid).name == task_id] + if len(matches) == 1: + return Repo2RLEnvTask.load(available[matches[0]], task_id=matches[0]) + if len(matches) > 1: + raise KeyError( + f"task id {task_id!r} is ambiguous under {self.root}; use one of {sorted(matches)}" + ) + raise KeyError( + f"unknown task {task_id!r} under {self.root}; available: {sorted(available) or ''}" + ) + + def _task_dirs(self) -> dict[str, Path]: + if self._discovered is None: + self._discovered = self._scan() + return self._discovered + + def _scan(self) -> dict[str, Path]: + if not self.root.is_dir(): + return {} + if (self.root / TASK_CONFIG_FILE).is_file(): + return {self.root.name: self.root} + + found: dict[str, Path] = {} + stack = [(self.root, 0)] + while stack: + directory, depth = stack.pop() + if depth > _MAX_DISCOVERY_DEPTH: + continue + for child in sorted(directory.iterdir()): + if not child.is_dir() or child.name.startswith("."): + continue + if (child / TASK_CONFIG_FILE).is_file(): + found[child.relative_to(self.root).as_posix()] = child + else: + stack.append((child, depth + 1)) + return found + + +def _network_mode(environment: dict[str, Any]) -> str: + """Read `[environment].network_mode`, honouring the deprecated spelling. + + An unrecognized value is a parse error rather than a silent downgrade to + `public` — quietly granting a sandboxed task the internet is exactly the + failure this parsing exists to prevent. + """ + raw = environment.get("network_mode") + if raw is None: + return NETWORK_NONE if environment.get("allow_internet") is False else NETWORK_PUBLIC + mode = str(raw).strip().lower() + if mode not in _NETWORK_MODES: + raise TaskFormatError( + f"unknown network_mode {raw!r}; expected one of {sorted(_NETWORK_MODES)}" + ) + return mode + + +def _user(value: Any) -> str | None: + """`[agent].user` / `[verifier].user`, which Harbor allows as a name or UID.""" + if value is None or (isinstance(value, str) and not value.strip()): + return None + return str(value).strip() + + +def _positive_int(value: Any) -> int | None: + try: + parsed = int(value) # type: ignore[arg-type] + except (TypeError, ValueError): + return None + return parsed if parsed > 0 else None + + +def _table(config: dict[str, Any], key: str) -> dict[str, Any]: + value = config.get(key) + return dict(value) if isinstance(value, dict) else {} + + +def _timeout(config: dict[str, Any], section: str, fallback: float) -> float: + raw = _table(config, section).get("timeout_sec") + try: + parsed = float(raw) # type: ignore[arg-type] + except (TypeError, ValueError): + return fallback + return parsed if parsed > 0 else fallback diff --git a/src/repo2rlenv/openenv/environment.py b/src/repo2rlenv/openenv/environment.py new file mode 100644 index 00000000..922bb8a2 --- /dev/null +++ b/src/repo2rlenv/openenv/environment.py @@ -0,0 +1,366 @@ +"""Serve a Repo2RLEnv dataset as an OpenEnv environment. + +`repo2rlenv generate` produces verifiable task directories; this turns a +directory of them into a Gymnasium-style environment a trainer can drive over +OpenEnv's `reset()` / `step()` / `state` API. + +The module is deliberately thin. It decides which task to run +(`dataset.TaskSet`), asks the sandbox to execute things (`sandbox.DockerSandbox`), +and forwards the verifier's verdict (`reward.RewardReport`). It never computes a +reward itself — the reward is the one our own `tests/test.sh` wrote, unchanged. +""" + +from __future__ import annotations + +import logging +import os +from collections.abc import Callable +from typing import Any +from uuid import uuid4 + +from openenv.core.env_server.interfaces import Environment + +from repo2rlenv.openenv.dataset import Repo2RLEnvTask, TaskSet +from repo2rlenv.openenv.models import ( + CONTROL_ACTIONS, + Repo2RLEnvAction, + Repo2RLEnvObservation, + Repo2RLEnvState, +) +from repo2rlenv.openenv.sandbox import DockerSandbox, ExecResult, SandboxError + +logger = logging.getLogger(__name__) + +DEFAULT_COMMAND_TIMEOUT_S = 120.0 + +#: Upper bound on how many ids `Repo2RLEnvState.available_tasks` carries, so a +#: dataset with thousands of tasks does not bloat every state response. +MAX_LISTED_TASKS = 200 + +_Handler = Callable[[Repo2RLEnvAction, DockerSandbox, Repo2RLEnvTask], Repo2RLEnvObservation] + + +class Repo2RLEnvEnvironment(Environment[Repo2RLEnvAction, Repo2RLEnvObservation, Repo2RLEnvState]): + """Runs one Repo2RLEnv task per episode. + + Each `reset()` boots a fresh container for one task. The agent then works + through `exec` / `read` / `write`, and the training loop ends the episode + with `evaluate`, which runs the task's own verifier and forwards whatever + reward it wrote. + + Args: + dataset: directory of emitted tasks. Defaults to `$REPO2RLENV_TASKS_DIR`, + then to the `tasks/` directory next to this environment. + default_task_id: task used when `reset()` names none. Defaults to + `$REPO2RLENV_DEFAULT_TASK_ID`. + command_timeout_s: timeout applied to agent `exec` actions. The verifier + and the oracle instead use the timeouts declared in `task.toml`. + sandbox_factory: builds the sandbox. Injected by tests. + """ + + # Every episode gets its own container, so sessions share no mutable state. + SUPPORTS_CONCURRENT_SESSIONS: bool = True + + def __init__( + self, + dataset: str | None = None, + default_task_id: str | None = None, + command_timeout_s: float = DEFAULT_COMMAND_TIMEOUT_S, + allow_control_actions: bool | None = None, + sandbox_factory: Callable[[], DockerSandbox] | None = None, + ) -> None: + super().__init__() + self.command_timeout_s = command_timeout_s + self.allow_control_actions = ( + allow_control_actions + if allow_control_actions is not None + else ( + os.getenv("REPO2RLENV_ALLOW_CONTROL_ACTIONS", "1").strip().lower() + not in {"0", "false", "no", "off"} + ) + ) + self.default_task_id = default_task_id or os.getenv("REPO2RLENV_DEFAULT_TASK_ID") or None + self._sandbox_factory = sandbox_factory or DockerSandbox + self.tasks = TaskSet(_resolve_dataset(dataset)) + + self._task: Repo2RLEnvTask | None = None + self._sandbox: DockerSandbox | None = None + self._state = Repo2RLEnvState() + self._refresh_dataset_state() + + self._handlers: dict[str, _Handler] = { + "exec": self._do_exec, + "read": self._do_read, + "write": self._do_write, + "evaluate": self._do_evaluate, + "solve": self._do_solve, + } + + # --- Gymnasium API ------------------------------------------------------ + + def reset( + self, + seed: int | None = None, + episode_id: str | None = None, + **kwargs: Any, + ) -> Repo2RLEnvObservation: + """Start a fresh episode on one task. + + Accepts `task_id` to choose the task; defaults to `default_task_id`, or + to the only task in the dataset when there is exactly one. + """ + del seed + + self.close() + # A failed reset must not leave the previous episode in state: close() + # has already torn the container down, so anything read from `state` + # after a raise below would describe a task that is not running. + self._state = Repo2RLEnvState() + self._refresh_dataset_state() + + task = self.tasks.get(self._select_task_id(kwargs.get("task_id"))) + sandbox = self._sandbox_factory() + try: + sandbox.start(task) + except Exception: + sandbox.close() + raise + + self._task = task + self._sandbox = sandbox + self._state = Repo2RLEnvState( + episode_id=episode_id or str(uuid4()), + task_id=task.task_id, + task_name=task.name, + pipeline=task.pipeline, + image=sandbox.image, + workdir=sandbox.paths.workdir, + ) + self._refresh_dataset_state() + + return self._observe( + "reset", + output="", + info={ + "task": task.summary(), + # Agent-visible paths only — the observation reaches the policy. + "paths": sandbox.paths.as_env(agent_visible=True), + }, + ) + + def step( + self, + action: Repo2RLEnvAction, + timeout_s: float | None = None, + **kwargs: Any, + ) -> Repo2RLEnvObservation: + """Apply one action to the running episode.""" + del timeout_s, kwargs + + if not isinstance(action, Repo2RLEnvAction): + raise TypeError(f"expected Repo2RLEnvAction, got {type(action).__name__}") + + self._state.step_count += 1 + self._state.last_action_type = action.action_type + + try: + if self._state.evaluated: + # `evaluate` ends the episode. Serving further actions would let + # a caller step past a terminal state and, worse, report + # done=False after already reporting done=True. + raise SandboxError( + "the episode ended when the verifier ran; call reset() to start another" + ) + if action.action_type in CONTROL_ACTIONS and not self.allow_control_actions: + raise PermissionError( + f"{action.action_type!r} is a training-orchestration control, not an " + "agent action; the server was started with " + "REPO2RLENV_ALLOW_CONTROL_ACTIONS=0" + ) + sandbox, task = self._require_episode() + return self._handlers[action.action_type](action, sandbox, task) + except Exception as exc: + # Invalid actions and sandbox failures come back in the observation + # so a policy can recover; only server faults propagate. + logger.info("action %s failed: %s", action.action_type, exc) + return self._observe( + action.action_type, + output="", + success=False, + error=str(exc), + # A terminated episode stays terminated — never walk done back. + done=self._state.evaluated, + ) + + @property + def state(self) -> Repo2RLEnvState: + """Current episode state.""" + return self._state + + def close(self) -> None: + """Tear down the running sandbox, if any.""" + if self._sandbox is not None: + self._sandbox.close() + self._sandbox = None + self._task = None + + # --- action handlers ---------------------------------------------------- + + def _do_exec( + self, action: Repo2RLEnvAction, sandbox: DockerSandbox, task: Repo2RLEnvTask + ) -> Repo2RLEnvObservation: + del task + if not action.command.strip(): + raise ValueError("exec requires a non-empty command") + # `timeout_s` arrives on the wire, so it is policy-controlled. Treat + # the configured value as a ceiling rather than a default. + result = sandbox.exec( + action.command, + timeout_s=min(action.timeout_s or self.command_timeout_s, self.command_timeout_s), + user=sandbox.agent_user, + agent_visible=True, + ) + return self._from_exec("exec", result) + + def _do_read( + self, action: Repo2RLEnvAction, sandbox: DockerSandbox, task: Repo2RLEnvTask + ) -> Repo2RLEnvObservation: + del task + target = sandbox.resolve_agent_path(action.path) + content = sandbox.read_text(target, user=sandbox.agent_user) + if content is None: + raise FileNotFoundError(f"no such file: {action.path}") + return self._observe("read", output=content) + + def _do_write( + self, action: Repo2RLEnvAction, sandbox: DockerSandbox, task: Repo2RLEnvTask + ) -> Repo2RLEnvObservation: + del task + target = sandbox.resolve_agent_path(action.path) + sandbox.write_text(target, action.content, user=sandbox.agent_user) + return self._observe("write", output=f"wrote {len(action.content)} bytes to {action.path}") + + def _do_evaluate( + self, action: Repo2RLEnvAction, sandbox: DockerSandbox, task: Repo2RLEnvTask + ) -> Repo2RLEnvObservation: + """Run the task's verifier and forward its reward. Ends the episode.""" + del action + # Terminate first: staging puts the verifier's files in the sandbox, so + # a failure anywhere below must still end the episode rather than leave + # /tests readable with the episode running. + self._state.evaluated = True + + result = sandbox.run_verifier(task) + report = sandbox.reward_report() + self._state.reward = report.value + self._state.last_exit_code = result.exit_code + + info = {**report.as_info(), "verifier_exit_code": result.exit_code} + if not report.graded: + # No reward file means the episode cannot be scored. Say so rather + # than inventing a number indistinguishable from a genuine 0.0. + return self._observe( + "evaluate", + output=result.output, + success=False, + error=( + f"the verifier wrote no reward file to {sandbox.paths.logs_verifier}; " + "the episode cannot be scored" + ), + exit_code=result.exit_code, + timed_out=result.timed_out, + done=True, + info=info, + ) + return self._observe( + "evaluate", + output=result.output, + exit_code=result.exit_code, + timed_out=result.timed_out, + reward=report.value, + done=True, + info=info, + ) + + def _do_solve( + self, action: Repo2RLEnvAction, sandbox: DockerSandbox, task: Repo2RLEnvTask + ) -> Repo2RLEnvObservation: + """Apply the task's own oracle patch. + + Orchestration-only: it proves a task is solvable and produces gold + trajectories. Follow it with `evaluate`, which should return full reward. + """ + del action + return self._from_exec("solve", sandbox.run_solution(task)) + + # --- observation plumbing ----------------------------------------------- + + def _from_exec(self, action_type: str, result: ExecResult) -> Repo2RLEnvObservation: + self._state.last_exit_code = result.exit_code + return self._observe( + action_type, + output=result.output, + success=result.ok, + error="command timed out" if result.timed_out else "", + exit_code=result.exit_code, + timed_out=result.timed_out, + ) + + def _observe( + self, + action_type: str, + output: str, + success: bool = True, + error: str = "", + exit_code: int | None = None, + timed_out: bool = False, + reward: float | None = None, + done: bool = False, + info: dict[str, Any] | None = None, + ) -> Repo2RLEnvObservation: + return Repo2RLEnvObservation( + instruction=self._task.instruction if self._task else "", + output=output, + action_type=action_type, + success=success, + error=error, + exit_code=exit_code, + timed_out=timed_out, + task_id=self._state.task_id, + task_name=self._state.task_name, + pipeline=self._state.pipeline, + workdir=self._state.workdir, + info=info or {}, + reward=reward, + done=done, + ) + + # --- helpers ------------------------------------------------------------ + + def _select_task_id(self, requested: str | None) -> str: + task_id = requested or self.default_task_id + if task_id: + return task_id + available = self.tasks.task_ids() + if len(available) == 1: + return available[0] + raise ValueError( + f"reset() needs a task_id: the dataset at {self.tasks.root} holds " + f"{len(available)} tasks. Available: {available[:10]}" + f"{' ...' if len(available) > 10 else ''}" + ) + + def _require_episode(self) -> tuple[DockerSandbox, Repo2RLEnvTask]: + if self._sandbox is None or self._task is None: + raise SandboxError("no episode is running; call reset() first") + return self._sandbox, self._task + + def _refresh_dataset_state(self) -> None: + task_ids = self.tasks.task_ids() + self._state.task_count = len(task_ids) + self._state.available_tasks = task_ids[:MAX_LISTED_TASKS] + + +def _resolve_dataset(dataset: str | None) -> str: + """Where to look for tasks: the argument, the env var, then ./tasks.""" + return dataset or os.getenv("REPO2RLENV_TASKS_DIR") or "tasks" diff --git a/src/repo2rlenv/openenv/models.py b/src/repo2rlenv/openenv/models.py new file mode 100644 index 00000000..b903a975 --- /dev/null +++ b/src/repo2rlenv/openenv/models.py @@ -0,0 +1,117 @@ +"""OpenEnv wire types for a Repo2RLEnv task environment. + +Shared by the client and the server; neither side imports the other. + +`openenv` is an optional dependency — install it with +`pip install 'repo2rlenv[openenv]'`. +""" + +from __future__ import annotations + +from typing import Any, Literal, get_args + +from openenv.core.env_server.types import Action, Observation, State +from pydantic import Field + +#: Actions an agent may take while solving the task. +AgentActionType = Literal["exec", "read", "write"] + +#: Actions reserved for training orchestration. `evaluate` grades the episode +#: and ends it; `solve` applies the task's own oracle patch. Neither belongs to +#: the agent's action space — an agent that could grade or solve on demand +#: would be able to end its own episode or read out the answer. +ControlActionType = Literal["evaluate", "solve"] + +AGENT_ACTIONS: frozenset[str] = frozenset(get_args(AgentActionType)) +CONTROL_ACTIONS: frozenset[str] = frozenset(get_args(ControlActionType)) + +#: Every action the server accepts. Composed from the two above rather than +#: restated, so the wire schema and the agent/orchestration split cannot drift: +#: a new action has to be classified as one or the other to exist at all. +ActionType = AgentActionType | ControlActionType + + +class Repo2RLEnvAction(Action): + """One interaction with a Repo2RLEnv task sandbox. + + Attributes: + action_type: exec / read / write (agent), or evaluate / solve (orchestration). + command: shell command, for `exec`. + path: path relative to the working directory, for `read` and `write`. + content: file contents, for `write`. + timeout_s: overrides the default command timeout; ignored by + `evaluate` and `solve`, which use the timeouts in `task.toml`. + """ + + action_type: ActionType = Field(default="exec") + command: str = Field(default="") + path: str = Field(default="") + content: str = Field(default="") + timeout_s: float | None = Field(default=None, gt=0) + + +class Repo2RLEnvObservation(Observation): + """What the sandbox reported back. + + Attributes: + instruction: the task's instruction.md, repeated every step so a + stateless policy can always see the goal. + output: merged stdout/stderr, file contents for `read`, or a short + confirmation for `write`. + action_type: the action this observation answers, or "reset". + success: whether the action itself completed. Unrelated to the reward — + a failing test command is still a successful `exec`. + error: why the action failed, when it did. + exit_code: exit status, for actions that ran a command. + timed_out: whether the command was killed by its timeout. + task_id: identifier of the running task. + task_name: the task's qualified `/` name. + pipeline: which synthesis pipeline produced the task. + workdir: working directory inside the sandbox; `path` is relative to it. + info: extra detail — the reward breakdown after `evaluate`, the task + digest after `reset()`. + """ + + instruction: str = Field(default="") + output: str = Field(default="") + action_type: str = Field(default="") + success: bool = Field(default=True) + error: str = Field(default="") + exit_code: int | None = Field(default=None) + timed_out: bool = Field(default=False) + task_id: str = Field(default="") + task_name: str = Field(default="") + pipeline: str = Field(default="") + workdir: str = Field(default="") + info: dict[str, Any] = Field(default_factory=dict) + + +class Repo2RLEnvState(State): + """Server-side episode state, for training orchestration. + + Attributes: + task_id: identifier of the running task, empty before the first reset(). + task_name: the task's qualified name. + pipeline: which synthesis pipeline produced the task. + image: the image backing the sandbox. + workdir: working directory inside the sandbox. + available_tasks: task identifiers discovered in the dataset, truncated + for large datasets — see `task_count` for the true total. + task_count: number of tasks in the dataset. + last_action_type: the most recent action. + last_exit_code: exit status of the most recent command. + evaluated: whether the verifier has run; the episode ends when it has. + reward: reward reported by the verifier, once it has run. + """ + + task_id: str = Field(default="") + task_name: str = Field(default="") + pipeline: str = Field(default="") + image: str = Field(default="") + workdir: str = Field(default="") + available_tasks: list[str] = Field(default_factory=list) + task_count: int = Field(default=0) + last_action_type: str = Field(default="") + last_exit_code: int | None = Field(default=None) + evaluated: bool = Field(default=False) + reward: float | None = Field(default=None) diff --git a/src/repo2rlenv/openenv/reward.py b/src/repo2rlenv/openenv/reward.py new file mode 100644 index 00000000..805e134e --- /dev/null +++ b/src/repo2rlenv/openenv/reward.py @@ -0,0 +1,153 @@ +"""The reward half of the Repo2RLEnv verifier contract. + +Every runtime verifier we emit ends by writing its verdict into +`/logs/verifier/`, never through its exit code (`test.sh` ends with `exit 0` on +purpose). Two files matter: + + reward.txt the scalar training signal + reward-details.json the diagnostic breakdown (F2P/P2P counts, resolved, + parse_status; or per-component diff-similarity scores) + +Harbor also allows a flat numeric `reward.json`, so we read that first and fall +back to `reward.txt` — the same precedence Harbor itself applies. + +The reward is produced *inside* the sandbox by the task's own verifier and only +forwarded from here. When no reward file exists the reward is `None`, never +`0.0`: a fabricated zero is indistinguishable from a genuine failure and would +quietly poison a training run. +""" + +from __future__ import annotations + +import json +from collections.abc import Callable +from dataclasses import dataclass, field +from typing import Any + +#: Reads a file name inside `/logs/verifier/`, returning None when absent. +#: Taking a reader rather than a path keeps this identical for a local +#: directory and for files inside a container. +LogReader = Callable[[str], "str | None"] + +REWARD_JSON = "reward.json" +REWARD_TXT = "reward.txt" +REWARD_DETAILS_JSON = "reward-details.json" + +#: Key treated as the scalar when `reward.json` carries several metrics. +PRIMARY_METRIC = "reward" + + +@dataclass(frozen=True) +class RewardReport: + """What the verifier left behind in `/logs/verifier/`. + + Attributes: + value: The scalar reward, or None when the verifier wrote no reward file. + source: Which artifact the scalar came from — reward.json / reward.txt / missing. + metrics: Every flat numeric metric from `reward.json`. + details: Parsed `reward-details.json`, when present. + errors: Problems encountered while reading the artifacts. + """ + + value: float | None = None + source: str = "missing" + metrics: dict[str, float] = field(default_factory=dict) + details: dict[str, Any] = field(default_factory=dict) + errors: list[str] = field(default_factory=list) + + @property + def graded(self) -> bool: + """Whether the verifier produced a usable reward.""" + return self.value is not None + + def as_info(self) -> dict[str, Any]: + """A JSON-serializable digest for `Observation.info`.""" + info: dict[str, Any] = {"reward_source": self.source} + if self.metrics: + info["reward_metrics"] = self.metrics + if self.details: + info["reward_details"] = self.details + if self.errors: + info["reward_errors"] = self.errors + return info + + +def read_reward(read_text: LogReader) -> RewardReport: + """Recover the verdict from a verifier log directory.""" + errors: list[str] = [] + details = _load_details(read_text, errors) + metrics, scalar = _load_metrics(read_text, errors) + + if scalar is not None: + return RewardReport(scalar, REWARD_JSON, metrics, details, errors) + + scalar = _load_scalar_txt(read_text, errors) + if scalar is not None: + return RewardReport(scalar, REWARD_TXT, metrics, details, errors) + + return RewardReport(None, "missing", metrics, details, errors) + + +def _load_metrics(read_text: LogReader, errors: list[str]) -> tuple[dict[str, float], float | None]: + raw = _read(read_text, REWARD_JSON, errors) + if raw is None: + return {}, None + + try: + payload = json.loads(raw) + except ValueError as exc: + errors.append(f"{REWARD_JSON} is not valid JSON: {exc}") + return {}, None + if not isinstance(payload, dict): + errors.append(f"{REWARD_JSON} must be a JSON object, got {type(payload).__name__}") + return {}, None + + metrics = { + str(key): float(val) + for key, val in payload.items() + # bool is an int subclass; the schema here is numeric-only. + if isinstance(val, (int, float)) and not isinstance(val, bool) + } + if PRIMARY_METRIC in metrics: + return metrics, metrics[PRIMARY_METRIC] + if len(metrics) == 1: + return metrics, next(iter(metrics.values())) + if metrics: + # Several metrics and no agreed primary: fall through to reward.txt + # rather than picking one arbitrarily. + errors.append( + f"{REWARD_JSON} has no {PRIMARY_METRIC!r} key among {sorted(metrics)}; " + f"falling back to {REWARD_TXT}" + ) + return metrics, None + + +def _load_scalar_txt(read_text: LogReader, errors: list[str]) -> float | None: + raw = _read(read_text, REWARD_TXT, errors) + if raw is None: + return None + try: + return float(raw.strip()) + except ValueError: + errors.append(f"{REWARD_TXT} is not a number: {raw.strip()[:80]!r}") + return None + + +def _load_details(read_text: LogReader, errors: list[str]) -> dict[str, Any]: + raw = _read(read_text, REWARD_DETAILS_JSON, errors) + if raw is None: + return {} + try: + payload = json.loads(raw) + except ValueError as exc: + errors.append(f"{REWARD_DETAILS_JSON} is not valid JSON: {exc}") + return {} + return payload if isinstance(payload, dict) else {} + + +def _read(read_text: LogReader, name: str, errors: list[str]) -> str | None: + try: + return read_text(name) + except Exception as exc: # pragma: no cover - backend-specific failures + errors.append(f"could not read {name}: {exc}") + return None diff --git a/src/repo2rlenv/openenv/sandbox.py b/src/repo2rlenv/openenv/sandbox.py new file mode 100644 index 00000000..b1cad7ca --- /dev/null +++ b/src/repo2rlenv/openenv/sandbox.py @@ -0,0 +1,520 @@ +"""The Docker sandbox a Repo2RLEnv task runs in. + +Every runtime pipeline we ship bakes the repository's state into the task's own +image, so the sandbox is Docker — there is no meaningful "run it locally" mode +for a task whose starting state only exists inside a container. + +The sandbox reproduces the filesystem contract our verifiers are written +against: + + /workspace the checkout the agent edits (the image's WORKDIR) + /tests the task's tests/, staged just before the verifier runs + /solution the task's solution/, staged only for the oracle + /logs/verifier where test.sh writes reward.txt + reward-details.json + /logs/agent scratch space + +Files are streamed in over the Docker API rather than bind-mounted, so the +environment server can itself run inside a container. +""" + +from __future__ import annotations + +import base64 +import io +import logging +import posixpath +import re +import tarfile +from dataclasses import dataclass +from pathlib import Path + +from repo2rlenv.openenv.dataset import ( + NETWORK_ALLOWLIST, + NETWORK_NONE, + Repo2RLEnvTask, +) +from repo2rlenv.openenv.reward import RewardReport, read_reward + +logger = logging.getLogger(__name__) + +#: Exit code GNU `timeout` reports when it kills a command. +TIMEOUT_EXIT_CODE = 124 + +#: Where our pipelines put the checkout. Used only when the image itself +#: declares no WORKDIR. +DEFAULT_WORKDIR = "/workspace" + + +class SandboxError(RuntimeError): + """Raised when the sandbox cannot start or cannot run something.""" + + +@dataclass(frozen=True) +class ExecResult: + """Outcome of one command run inside the sandbox.""" + + exit_code: int + output: str + timed_out: bool = False + + @property + def ok(self) -> bool: + return self.exit_code == 0 and not self.timed_out + + +@dataclass(frozen=True) +class SandboxPaths: + """The absolute paths our task scripts are written against.""" + + workdir: str = DEFAULT_WORKDIR + tests: str = "/tests" + solution: str = "/solution" + logs: str = "/logs" + + @property + def logs_verifier(self) -> str: + return posixpath.join(self.logs, "verifier") + + @property + def logs_agent(self) -> str: + return posixpath.join(self.logs, "agent") + + def as_env(self, *, agent_visible: bool = False) -> dict[str, str]: + """Path layout exported to task scripts. + + Harbor-lineage scripts read `TEST_DIR`; ours use absolute paths, but + exporting both keeps third-party tasks working unchanged. + + Args: + agent_visible: return only the paths an agent legitimately needs. + The verifier and oracle directories are withheld — that is where + the grading logic and the answer live, and only the verifier and + oracle themselves need to be told where they are. + """ + agent_paths = { + "HARBOR_WORKDIR": self.workdir, + "HARBOR_AGENT_LOGS_DIR": self.logs_agent, + } + if agent_visible: + return agent_paths + return { + **agent_paths, + "HARBOR_TESTS_DIR": self.tests, + "HARBOR_SOLUTION_DIR": self.solution, + "HARBOR_LOGS_DIR": self.logs_verifier, + "TEST_DIR": self.tests, + } + + +class DockerSandbox: + """Runs one task inside its own image for the life of one episode. + + Args: + keep_container: leave the container in place after `close()`, for debugging. + """ + + def __init__(self, keep_container: bool = False) -> None: + self.agent_user: str | None = None + self.paths = SandboxPaths() + self.keep_container = keep_container + self._client = None + self._container = None + self._image = "" + self._has_timeout: bool | None = None + + @property + def image(self) -> str: + """The image backing this sandbox.""" + return self._image + + # --- lifecycle ---------------------------------------------------------- + + def start(self, task: Repo2RLEnvTask) -> None: + """Resolve the task's image, boot a container, and lay out the paths.""" + client = self._connect() + self._image = self._resolve_image(task, client) + self._container = client.containers.run( + image=self._image, + command=["sleep", "infinity"], + detach=True, + labels={"repo2rlenv.task": task.task_id}, + auto_remove=False, + **_container_limits(task), + ) + self.agent_user = task.agent_user + self.paths = SandboxPaths(workdir=task.declared_workdir or self._image_workdir(client)) + self.mkdirs(self.paths.workdir, self.paths.logs_verifier, self.paths.logs_agent) + # Those directories belong to the image's default account. A task that + # asks for [agent].user would otherwise get a working directory it + # cannot write to, breaking every edit the agent makes. + self.chown(task.agent_user, self.paths.workdir, self.paths.logs_agent) + + def close(self) -> None: + """Remove the container.""" + if self._container is not None and not self.keep_container: + try: + self._container.remove(force=True) + except Exception: # pragma: no cover - best-effort teardown + logger.warning("could not remove container", exc_info=True) + self._container = None + self._client = None + + # --- primitives --------------------------------------------------------- + + def exec( + self, + command: str, + *, + timeout_s: float, + env: dict[str, str] | None = None, + workdir: str | None = None, + user: str | None = None, + agent_visible: bool = False, + ) -> ExecResult: + """Run `command` through bash and return its merged output. + + Args: + user: account to run as, from `[agent].user` / `[verifier].user`. + agent_visible: whether this is the agent's own command. Agent + commands are not told where the verifier and oracle live. + """ + container = self._require_container() + process_env = dict(self.paths.as_env(agent_visible=agent_visible)) + process_env.update(env or {}) + exit_code, output = container.exec_run( + cmd=["bash", "-c", self._with_timeout(command, timeout_s)], + workdir=workdir or self.paths.workdir, + environment=process_env, + user=user or "", + demux=False, + ) + text = output.decode("utf-8", errors="replace") if output else "" + # The Docker API reports a null exit code when the exec never started. + status = int(exit_code) if exit_code is not None else 1 + return ExecResult(status, text, timed_out=status == TIMEOUT_EXIT_CODE) + + def read_text(self, path: str, user: str | None = None) -> str | None: + """Read a text file, returning None when it does not exist. + + Args: + user: read as this account. Agent reads must pass the task's + `[agent].user`, or a task that declared an unprivileged agent + would still read root-only files through this path. + """ + result = self.exec(f"cat {_quote(path)}", timeout_s=60.0, user=user) + return result.output if result.ok else None + + def write_text(self, path: str, content: str, user: str | None = None) -> None: + """Write a text file, creating parent directories as needed. + + Args: + user: write as this account. `put_archive` extracts as root, which + would let an unprivileged agent create root-owned files — and, + through a symlink out of the working directory, create them + anywhere. Writing through the shell makes the kernel apply the + declared user's permissions instead. + """ + if user: + payload = base64.b64encode(content.encode("utf-8")).decode("ascii") + result = self.exec( + f"printf %s {_quote(payload)} | base64 -d > {_quote(path)}", + timeout_s=120.0, + user=user, + ) + if not result.ok: + raise SandboxError(f"could not write {path} as {user!r}: {result.output.strip()}") + return + container = self._require_container() + directory, name = posixpath.split(path) + self.mkdirs(directory) + container.put_archive(directory, _tar_bytes({name: content.encode("utf-8")})) + + def upload_dir(self, source: Path, destination: str) -> None: + """Copy a host directory into the container.""" + container = self._require_container() + self.mkdirs(destination) + stream = io.BytesIO() + with tarfile.open(fileobj=stream, mode="w") as archive: + for entry in sorted(source.rglob("*")): + # rglob yields directories as well as files, and `add` recurses + # by default — leaving it on archives every nested file once + # via its parent and again on its own iteration. + archive.add( + entry, + arcname=entry.relative_to(source).as_posix(), + recursive=False, + ) + container.put_archive(destination, stream.getvalue()) + + def chown(self, user: str | None, *paths: str) -> None: + """Hand `paths` to `user`, so a non-root phase can write to them. + + A no-op when the task declares no user. Runs as the image's default + account, the only one able to change ownership. + """ + if not user or not paths: + return + quoted = " ".join(_quote(path) for path in paths) + result = self.exec(f"chown -R {_quote(user)} {quoted}", timeout_s=120.0, workdir="/") + if not result.ok: + raise SandboxError( + f"could not give {user!r} ownership of {list(paths)}: {result.output.strip()}" + ) + + def resolve_agent_path(self, relative: str) -> str: + """Resolve an agent-supplied path, refusing anything outside the workdir. + + Two checks, because either alone is insufficient: + + 1. `resolve_within` rejects absolute paths and lexical `..` escapes. + 2. The result is canonicalized inside the container, which is the only + way to catch a symlink the agent planted with `exec`. Without it, + `ln -s /tests t` then `read path="t/test.sh"` walks straight out of + the working directory and reads the grader. + + Raises: + ValueError: if the path escapes the working directory, before or + after symlink resolution. + """ + target = resolve_within(self.paths.workdir, relative) + real = self.real_path(target) + # Canonicalize the base too — the workdir itself may sit behind a link. + base = self.real_path(self.paths.workdir) + if real != base and not real.startswith(base.rstrip("/") + "/"): + raise ValueError(f"path escapes the working directory through a link: {relative!r}") + return real + + def real_path(self, path: str) -> str: + """Canonicalize `path` inside the container, resolving symlinks. + + `readlink -m` rather than `-f`: a `write` may legitimately create + directories that do not exist yet, while symlinks that *do* exist are + still resolved, which is the only part confinement depends on. + """ + result = self.exec(f"readlink -m {_quote(path)}", timeout_s=60.0) + canonical = result.output.strip() + if not result.ok or not canonical: + raise SandboxError( + f"could not canonicalize {path!r} inside the sandbox; refusing the " + "action rather than trusting an unresolved path" + ) + return canonical + + def mkdirs(self, *paths: str) -> None: + """Create directories inside the container. + + Runs from `/` so it works before the working directory exists — a fresh + image often declares a WORKDIR that is not in the filesystem yet. + """ + quoted = " ".join(_quote(p) for p in paths if p) + if not quoted: + return + result = self.exec(f"mkdir -p {quoted}", timeout_s=60.0, workdir="/") + if not result.ok: + raise SandboxError(f"could not create {list(paths)}: {result.output.strip()}") + + # --- episode phases ----------------------------------------------------- + + def run_verifier(self, task: Repo2RLEnvTask) -> ExecResult: + """Stage `tests/` and run `tests/test.sh`. + + Raises: + SandboxError: if the task ships no verifier. + """ + if task.test_script is None: + raise SandboxError( + f"task {task.task_id!r} has no tests/test.sh, so it cannot be graded" + ) + # Start from an empty verifier log directory: the reward must describe + # *this* run. The agent shares the container and could otherwise plant a + # reward file that outlives a verifier which fails before writing one. + self.exec(f"rm -rf {_quote(self.paths.logs_verifier)}", timeout_s=60.0, workdir="/") + self.mkdirs(self.paths.logs_verifier) + self._replace_dir(task.tests_dir, self.paths.tests) + # Same reason as the working directory: a [verifier].user that cannot + # write its reward file would make every such task unscorable. + self.chown(task.verifier_user, self.paths.logs_verifier, self.paths.tests) + script = posixpath.join(self.paths.tests, task.test_script.name) + return self.exec( + f"bash {_quote(script)}", + timeout_s=task.verifier_timeout_s, + user=task.verifier_user, + ) + + def run_solution(self, task: Repo2RLEnvTask) -> ExecResult: + """Stage `solution/` and run `solution/solve.sh` — the oracle. + + Raises: + SandboxError: if the task ships no oracle. + """ + if task.solve_script is None: + raise SandboxError( + f"task {task.task_id!r} has no solution/solve.sh, so it has no oracle" + ) + self._replace_dir(task.solution_dir, self.paths.solution) + self.chown(task.agent_user, self.paths.solution) + script = posixpath.join(self.paths.solution, task.solve_script.name) + return self.exec( + f"bash {_quote(script)}", + timeout_s=task.agent_timeout_s, + user=task.agent_user, + ) + + def _replace_dir(self, source: Path, destination: str) -> None: + """Upload `source` over a freshly emptied `destination`. + + The agent shares the container and can pre-create these paths; anything + it leaves behind must not survive into the verifier's view. + """ + self.exec(f"rm -rf {_quote(destination)}", timeout_s=60.0, workdir="/") + self.upload_dir(source, destination) + + def reward_report(self) -> RewardReport: + """Read the verifier's verdict out of `/logs/verifier`.""" + return read_reward( + lambda name: self.read_text(posixpath.join(self.paths.logs_verifier, name)) + ) + + # --- docker helpers ----------------------------------------------------- + + def _connect(self): + if self._client is None: + try: + import docker + except ImportError as exc: + raise SandboxError( + "the OpenEnv runtime needs the Docker SDK: pip install 'repo2rlenv[openenv]'" + ) from exc + try: + self._client = docker.from_env() + self._client.ping() + except Exception as exc: + raise SandboxError(f"could not reach the Docker daemon: {exc}") from exc + return self._client + + def _resolve_image(self, task: Repo2RLEnvTask, client) -> str: + """Pull the pushed image when there is one, else build the task's Dockerfile.""" + pullable = task.pullable_image + if pullable: + try: + client.images.get(pullable) + except Exception: + logger.info("pulling %s", pullable) + client.images.pull(pullable) + return pullable + + if task.dockerfile is None: + raise SandboxError( + f"task {task.task_id!r} has no environment/Dockerfile and no pushed image, so it " + "cannot be executed. Text-only `pr_diff` tasks are scored against " + "solution/patch.diff instead — see repo2rlenv.reward." + ) + tag = f"repo2rlenv/{_slug(task.task_id)}:latest" + logger.info("building %s from %s", tag, task.dockerfile) + client.images.build( + path=str(task.environment_dir), dockerfile=task.dockerfile.name, tag=tag, rm=True + ) + return tag + + def _image_workdir(self, client) -> str: + try: + config = client.images.get(self._image).attrs.get("Config", {}) + return str(config.get("WorkingDir") or DEFAULT_WORKDIR) + except Exception: # pragma: no cover - image metadata is best-effort + return DEFAULT_WORKDIR + + def _with_timeout(self, command: str, timeout_s: float) -> str: + """Bound `command` with GNU timeout when the image provides it.""" + if self._has_timeout is None: + container = self._require_container() + probe, _ = container.exec_run(cmd=["sh", "-c", "command -v timeout"]) + self._has_timeout = int(probe) == 0 + if not self._has_timeout: + return command + return f"timeout -k 5 {int(max(timeout_s, 1))} bash -c {_quote(command)}" + + def _require_container(self): + if self._container is None: + raise SandboxError("sandbox is not running; call start() first") + return self._container + + +def _container_limits(task: Repo2RLEnvTask) -> dict[str, object]: + """Translate a task's declared policies into `containers.run` kwargs. + + Raises: + SandboxError: if the task asks for something this backend cannot enforce + faithfully. Failing closed matters more than breadth: silently + granting a `no-network` task the daemon's default bridge would both + corrupt the result and hand a sandboxed process the internet. + """ + kwargs: dict[str, object] = {} + + if task.network_mode == NETWORK_ALLOWLIST: + raise SandboxError( + f"task {task.task_id!r} declares network_mode='allowlist', which needs a " + "filtering proxy this backend does not run. Grade it with `harbor run`." + ) + if task.network_mode == NETWORK_NONE: + kwargs["network_mode"] = "none" + + if task.cpus is not None: + # Docker expresses CPU count as a quota against a 100ms period. + kwargs["cpu_period"] = 100_000 + kwargs["cpu_quota"] = int(task.cpus * 100_000) + if task.memory_mb is not None: + kwargs["mem_limit"] = f"{task.memory_mb}m" + if task.gpus is not None: + raise SandboxError( + f"task {task.task_id!r} requests {task.gpus} GPU(s); this backend does not " + "allocate accelerators. Grade it with `harbor run`." + ) + return kwargs + + +def resolve_within(base: str, relative: str) -> str: + """Resolve `relative` under `base`, rejecting anything that escapes it. + + Applied to every agent-supplied path so a policy cannot read or write + outside the checkout — in particular it cannot reach /tests or /solution. + + Raises: + ValueError: if `relative` is empty, is absolute, names the checkout + itself, or escapes `base`. + """ + if not relative.strip(): + raise ValueError("path must name a file relative to the working directory") + if posixpath.isabs(relative): + raise ValueError(f"path must be relative to the working directory: {relative!r}") + base_norm = posixpath.normpath(base) + target = posixpath.normpath(posixpath.join(base_norm, relative)) + if target == base_norm: + # "", "." and "a/.." all land here. A read would try to cat a + # directory; a write is worse — the target splits into ("/", + # "workspace"), dropping a regular file over the whole checkout. + raise ValueError( + f"path must name a file inside the working directory, not the " + f"directory itself: {relative!r}" + ) + if not target.startswith(base_norm.rstrip("/") + "/"): + raise ValueError(f"path escapes the working directory: {relative!r}") + return target + + +def _tar_bytes(files: dict[str, bytes]) -> bytes: + stream = io.BytesIO() + with tarfile.open(fileobj=stream, mode="w") as archive: + for name, payload in files.items(): + info = tarfile.TarInfo(name=name) + info.size = len(payload) + info.mode = 0o644 + archive.addfile(info, io.BytesIO(payload)) + return stream.getvalue() + + +def _quote(value: str) -> str: + return "'" + value.replace("'", "'\\''") + "'" + + +def _slug(value: str) -> str: + return re.sub(r"[^a-z0-9_.-]+", "-", value.lower()).strip("-") or "task" diff --git a/tests/test_openenv_export.py b/tests/test_openenv_export.py new file mode 100644 index 00000000..8a198c49 --- /dev/null +++ b/tests/test_openenv_export.py @@ -0,0 +1,710 @@ +"""The OpenEnv export path: dataset parsing, reward contract, and env emission. + +Hermetic — no Docker, no network. The Docker-backed sandbox is exercised by the +end-to-end run documented in docs/reference/OPENENV.md, not here. +""" + +from __future__ import annotations + +import json +import tomllib +from pathlib import Path + +import pytest +import yaml + +from repo2rlenv.emitter.harbor import HarborTask, write_harbor_task +from repo2rlenv.emitter.openenv import EmitError, write_openenv_env +from repo2rlenv.openenv.dataset import Repo2RLEnvTask, TaskFormatError, TaskSet +from repo2rlenv.openenv.reward import read_reward +from repo2rlenv.openenv.sandbox import SandboxError + +# --------------------------------------------------------------------------- +# helpers +# --------------------------------------------------------------------------- + + +def _emit( + dest: Path, + name: str = "demo__task-1", + *, + dockerfile: str | None = "FROM python:3.12-slim\nWORKDIR /workspace\n", + test_script: str | None = "#!/bin/bash\nexit 0\n", +) -> Path: + """Write a task with the real Harbor emitter, so tests track the real format.""" + task = HarborTask( + name=name, + org="repo2rlenv", + description="example", + instruction="# Fix it\n\nmake the tests pass\n", + oracle_diff="--- a/x.py\n+++ b/x.py\n@@\n-1\n+2\n", + repo2env={"pipeline": "pr_runtime", "repo": "demo/repo"}, + environment_dockerfile=dockerfile, + test_script=test_script, + ) + return write_harbor_task(task, dest) + + +def _reader(files: dict[str, str]): + return lambda name: files.get(name) + + +# --------------------------------------------------------------------------- +# reading an emitted task back +# --------------------------------------------------------------------------- + + +def test_load_reads_our_own_emitted_task(tmp_path: Path): + """The reader must accept exactly what the Harbor emitter writes.""" + path = _emit(tmp_path) + task = Repo2RLEnvTask.load(path) + + # We emit `version`, not Harbor's `schema_version`. + assert task.schema_version == "1.0" + assert task.name == "repo2rlenv/demo__task-1" + assert task.pipeline == "pr_runtime" + assert task.instruction.startswith("# Fix it") + assert task.content_hash.startswith("sha256:") + assert task.dockerfile is not None + assert task.test_script is not None + assert task.solve_script is not None + assert task.oracle_diff is not None + assert task.runnable + + +def test_load_rejects_a_non_task_directory(tmp_path: Path): + with pytest.raises(TaskFormatError): + Repo2RLEnvTask.load(tmp_path) + + +def test_timeouts_come_from_task_toml(tmp_path: Path): + task = Repo2RLEnvTask.load(_emit(tmp_path)) + # The emitter writes agent=1800, verifier=300. + assert task.agent_timeout_s == 1800.0 + assert task.verifier_timeout_s == 300.0 + + +def test_text_only_task_is_not_runnable(tmp_path: Path): + """`pr_diff` with emit_harbor_env=False ships no image and no verifier.""" + task = Repo2RLEnvTask.load(_emit(tmp_path, dockerfile=None, test_script=None)) + assert task.dockerfile is None + assert task.test_script is None + assert not task.runnable + + +def test_only_registry_mode_yields_a_pullable_image(tmp_path: Path): + """local_only / inline_dockerfile image refs may exist on no other machine.""" + path = _emit(tmp_path) + # The emitter seeds mode=local_only for Dockerfile-bearing tasks. + assert Repo2RLEnvTask.load(path).repro_mode == "local_only" + assert Repo2RLEnvTask.load(path).pullable_image is None + + toml_path = path / "task.toml" + data = tomllib.loads(toml_path.read_text()) + repro = data["metadata"]["repo2env"]["reproducibility"] + repro["mode"] = "registry" + repro["image_ref"] = "ghcr.io/acme/task:abc123" + toml_path.write_text(_dumps(data)) + + reloaded = Repo2RLEnvTask.load(path) + assert reloaded.pullable_image == "ghcr.io/acme/task:abc123" + + +def _dumps(data: dict) -> str: + import tomli_w + + return tomli_w.dumps(data) + + +# --------------------------------------------------------------------------- +# discovery +# --------------------------------------------------------------------------- + + +def test_taskset_finds_flat_and_nested_layouts(tmp_path: Path): + """`generate --out` writes flat; `push` stages under tasks//.""" + _emit(tmp_path, "flat-task") + _emit(tmp_path / "tasks", "staged-task") + + assert TaskSet(tmp_path).task_ids() == ["flat-task", "tasks/staged-task"] + + +def test_taskset_accepts_a_single_task_directory(tmp_path: Path): + path = _emit(tmp_path, "solo") + assert TaskSet(path).task_ids() == ["solo"] + + +def test_taskset_resolves_a_bare_name_and_reports_unknown_ids(tmp_path: Path): + _emit(tmp_path / "tasks", "nested-one") + task_set = TaskSet(tmp_path) + + assert task_set.get("nested-one").task_id == "tasks/nested-one" + with pytest.raises(KeyError): + task_set.get("nope") + + +# --------------------------------------------------------------------------- +# the reward contract +# --------------------------------------------------------------------------- + + +def test_reward_txt_is_the_scalar_our_verifiers_write(): + report = read_reward(_reader({"reward.txt": "0.750000\n"})) + assert report.value == pytest.approx(0.75) + assert report.source == "reward.txt" + assert report.graded + + +def test_reward_json_wins_over_reward_txt(): + report = read_reward(_reader({"reward.json": '{"reward": 0.5}', "reward.txt": "1.0"})) + assert report.value == pytest.approx(0.5) + assert report.source == "reward.json" + + +def test_details_sidecar_is_surfaced_but_never_scored(): + """reward-details.json is diagnostics; the scalar still comes from reward.txt.""" + details = {"resolved": False, "f2p_passed": 0, "f2p_total": 3, "parse_status": "ok"} + report = read_reward(_reader({"reward.txt": "0.0", "reward-details.json": json.dumps(details)})) + assert report.value == 0.0 + assert report.source == "reward.txt" + assert report.details == details + assert report.as_info()["reward_details"] == details + + +def test_missing_reward_is_none_not_zero(): + """A fabricated 0.0 is indistinguishable from a real failure.""" + report = read_reward(_reader({})) + assert report.value is None + assert not report.graded + assert report.source == "missing" + + +def test_unparsable_reward_is_reported_not_guessed(): + report = read_reward(_reader({"reward.txt": "not-a-number"})) + assert report.value is None + assert any("not a number" in e for e in report.errors) + + +# --------------------------------------------------------------------------- +# emitting the environment package +# --------------------------------------------------------------------------- + + +def test_export_writes_a_deployable_package(tmp_path: Path): + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + dest = tmp_path / "env" + + package = write_openenv_env(dataset, dest, name="Demo Env") + + assert package.task_count == 1 + assert package.runnable_task_count == 1 + assert package.name == "demo-env" + for rel in ("openenv.yaml", "Dockerfile", "README.md", "pyproject.toml", "server/app.py"): + assert (dest / rel).is_file(), rel + + +def test_export_copies_tasks_verbatim(tmp_path: Path): + """The whole point: serving adds a layer, it does not convert the data.""" + dataset = tmp_path / "ds" + source = _emit(dataset, "demo__task-1") + dest = tmp_path / "env" + + write_openenv_env(dataset, dest) + + copied = dest / "tasks" / "demo__task-1" + for rel in ("task.toml", "instruction.md", "tests/test.sh", "solution/patch.diff"): + assert (copied / rel).read_text() == (source / rel).read_text(), rel + + +def test_manifest_matches_the_openenv_schema(tmp_path: Path): + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + dest = tmp_path / "env" + + write_openenv_env(dataset, dest, name="click-env", port=9000) + manifest = yaml.safe_load((dest / "openenv.yaml").read_text()) + + assert manifest["spec_version"] == 1 + assert manifest["name"] == "click-env" + assert manifest["type"] == "space" + assert manifest["runtime"] == "fastapi" + assert manifest["app"] == "server.app:app" + assert manifest["port"] == 9000 + assert manifest["action"] == "Repo2RLEnvAction" + assert manifest["observation"] == "Repo2RLEnvObservation" + + +def test_readme_is_a_space_card_naming_a_real_task(tmp_path: Path): + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + dest = tmp_path / "env" + + write_openenv_env(dataset, dest, name="click-env") + readme = (dest / "README.md").read_text() + + assert readme.startswith("---\n") + assert "sdk: docker" in readme + assert "app_port: 8000" in readme + # The quickstart must reference a task that actually ships in the package. + assert 'task_id="demo__task-1"' in readme + + +def test_dockerfile_wires_the_tasks_dir_and_port(tmp_path: Path): + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + dest = tmp_path / "env" + + write_openenv_env( + dataset, dest, name="click-env", port=9000, requirement="repo2rlenv[openenv]==9.9.9" + ) + dockerfile = (dest / "Dockerfile").read_text() + + assert "repo2rlenv[openenv]==9.9.9" in dockerfile + assert "ENV REPO2RLENV_TASKS_DIR=/app/tasks" in dockerfile + assert '"--port", "9000"' in dockerfile + # The server starts task containers on the host daemon. + assert "/var/run/docker.sock" in dockerfile + + +def test_export_flags_text_only_tasks_as_unrunnable(tmp_path: Path): + dataset = tmp_path / "ds" + _emit(dataset, "runtime-task") + _emit(dataset, "text-task", dockerfile=None, test_script=None) + dest = tmp_path / "env" + + package = write_openenv_env(dataset, dest) + + assert package.task_count == 2 + assert package.runnable_task_count == 1 + assert "scored" in (dest / "README.md").read_text() + + +def test_export_rejects_an_empty_dataset(tmp_path: Path): + with pytest.raises(EmitError): + write_openenv_env(tmp_path, tmp_path / "env") + + +def test_export_is_rerunnable_and_prunes_removed_tasks(tmp_path: Path): + """Re-exporting must not leave a stale task behind in the package.""" + dataset = tmp_path / "ds" + _emit(dataset, "keep-me") + stale = _emit(dataset, "delete-me") + dest = tmp_path / "env" + write_openenv_env(dataset, dest) + assert (dest / "tasks" / "delete-me").is_dir() + + import shutil + + shutil.rmtree(stale) + package = write_openenv_env(dataset, dest) + + assert package.task_count == 1 + assert not (dest / "tasks" / "delete-me").exists() + + +def test_emitted_app_module_defers_to_the_library(tmp_path: Path): + """The package ships config, not generated runtime logic.""" + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + dest = tmp_path / "env" + + write_openenv_env(dataset, dest) + app_py = (dest / "server" / "app.py").read_text() + + assert "from repo2rlenv.openenv import build_app" in app_py + assert "app = build_app()" in app_py + + +# --------------------------------------------------------------------------- +# runtime invariants — need the optional `openenv` extra +# --------------------------------------------------------------------------- + + +def test_dataset_reading_does_not_need_the_openenv_extra(): + """`pip install repo2rlenv` must be enough to read a dataset and export it. + + Guards the lazy __getattr__ in repo2rlenv.openenv: importing the package or + the emitter must not drag in `openenv`. + """ + import subprocess + import sys + + code = ( + "import sys;" + "import repo2rlenv.openenv as oe;" + "from repo2rlenv.emitter import write_openenv_env;" + "oe.TaskSet; oe.Repo2RLEnvTask; oe.read_reward;" + "print('openenv' in sys.modules)" + ) + result = subprocess.run([sys.executable, "-c", code], capture_output=True, text=True) + assert result.returncode == 0, result.stderr + assert result.stdout.strip() == "False" + + +@pytest.mark.parametrize("relative", ["../etc/passwd", "../../x", "/tests/test.sh", "a/../../b"]) +def test_agent_paths_cannot_escape_the_workspace(relative: str): + pytest.importorskip("openenv") + from repo2rlenv.openenv.sandbox import resolve_within + + with pytest.raises(ValueError): + resolve_within("/workspace", relative) + + +@pytest.mark.parametrize("relative", ["calc.py", "src/pkg/mod.py", "./a.py"]) +def test_agent_paths_inside_the_workspace_resolve(relative: str): + pytest.importorskip("openenv") + from repo2rlenv.openenv.sandbox import resolve_within + + assert resolve_within("/workspace", relative).startswith("/workspace") + + +@pytest.mark.parametrize("relative", ["", " ", ".", "a/.."]) +def test_agent_paths_cannot_name_the_workspace_itself(relative: str): + """A degenerate path must not resolve to the checkout directory. + + `Repo2RLEnvAction.path` defaults to "", so this is reachable by simply + omitting the field. A read would try to cat a directory; a write is worse — + the target splits into ("/", "workspace"), dropping a regular file over the + entire checkout. + """ + pytest.importorskip("openenv") + from repo2rlenv.openenv.sandbox import resolve_within + + with pytest.raises(ValueError): + resolve_within("/workspace", relative) + + +def test_docker_upload_dir_archives_each_entry_once(tmp_path: Path, monkeypatch): + """`rglob` yields directories too, and `tarfile.add` recurses by default. + + Left alone, every nested file is archived once through its parent directory + and again on its own iteration. + """ + pytest.importorskip("openenv") + import io + import tarfile + + from repo2rlenv.openenv.sandbox import DockerSandbox + + source = tmp_path / "tests" + (source / "nested").mkdir(parents=True) + (source / "test.sh").write_text("#!/bin/bash\n", encoding="utf-8") + (source / "nested" / "verifier.py").write_text("x = 1\n", encoding="utf-8") + + captured: dict[str, bytes] = {} + + class _FakeContainer: + def put_archive(self, path: str, data: bytes) -> bool: + captured["data"] = data + return True + + sandbox = DockerSandbox() + monkeypatch.setattr(sandbox, "_require_container", lambda: _FakeContainer()) + monkeypatch.setattr(sandbox, "mkdirs", lambda *args, **kwargs: None) + + sandbox.upload_dir(source, "/tests") + + with tarfile.open(fileobj=io.BytesIO(captured["data"])) as archive: + names = archive.getnames() + + assert sorted(names) == ["nested", "nested/verifier.py", "test.sh"] + assert len(names) == len(set(names)) + + +def test_failed_reset_does_not_leave_the_previous_episode_in_state(tmp_path: Path): + """reset() tears the container down before it can fail. + + Reporting the previous task afterwards would tell a trainer an episode is + running when nothing is. + """ + pytest.importorskip("openenv") + from repo2rlenv.openenv.environment import Repo2RLEnvEnvironment + + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + env = Repo2RLEnvEnvironment(dataset=str(dataset)) + + # Hand-populate state as a completed episode would leave it, without + # needing Docker to run one. + env._state.task_id = "demo__task-1" + env._state.workdir = "/workspace" + env._state.reward = 1.0 + env._state.evaluated = True + + with pytest.raises(KeyError): + env.reset(task_id="no-such-task") + + assert env._state.task_id == "" + assert env._state.workdir == "" + assert env._state.reward is None + assert not env._state.evaluated + # The dataset listing survives — it belongs to no single episode. + assert env._state.task_count == 1 + + +def test_grading_and_solving_are_not_agent_actions(): + """An agent that could grade or solve on demand would break the boundary. + + The two sets must stay a partition of what the server actually handles: a + new action type nobody classified would silently read as agent-reachable. + """ + pytest.importorskip("openenv") + from repo2rlenv.openenv.environment import Repo2RLEnvEnvironment + from repo2rlenv.openenv.models import AGENT_ACTIONS, CONTROL_ACTIONS + + assert {"exec", "read", "write"} == AGENT_ACTIONS + assert {"evaluate", "solve"} == CONTROL_ACTIONS + assert not (AGENT_ACTIONS & CONTROL_ACTIONS) + assert set(Repo2RLEnvEnvironment()._handlers) == AGENT_ACTIONS | CONTROL_ACTIONS + + +def test_action_schema_rejects_unknown_action_types(): + pytest.importorskip("openenv") + from repo2rlenv.openenv.models import Repo2RLEnvAction + + with pytest.raises(ValueError): + Repo2RLEnvAction(action_type="rm_rf") + + +def test_client_round_trips_what_the_server_serializes(): + """The trainer-facing client must parse the server's own step payload.""" + pytest.importorskip("openenv") + from repo2rlenv.openenv.client import Repo2RLEnvClient + from repo2rlenv.openenv.models import Repo2RLEnvAction, Repo2RLEnvObservation + + observation = Repo2RLEnvObservation( + output="ok", + action_type="evaluate", + reward=0.75, + done=True, + info={"reward_source": "reward.txt"}, + ) + payload = { + "observation": observation.model_dump(), + "reward": 0.75, + "done": True, + } + client = Repo2RLEnvClient(base_url="http://localhost:8000") + + result = client._parse_result(payload) + assert result.reward == pytest.approx(0.75) + assert result.done is True + assert result.observation.info["reward_source"] == "reward.txt" + + action = Repo2RLEnvAction(action_type="write", path="a.py", content="x = 1\n") + assert Repo2RLEnvAction.model_validate(client._step_payload(action)) == action + + +# --------------------------------------------------------------------------- +# task policies and episode termination +# --------------------------------------------------------------------------- + + +def test_network_and_resource_policies_are_parsed(tmp_path: Path): + path = _emit(tmp_path) + toml_path = path / "task.toml" + data = tomllib.loads(toml_path.read_text()) + data["environment"] = { + "network_mode": "no-network", + "cpus": 2, + "memory_mb": 512, + "workdir": "/srv/app", + } + data["agent"] = {"user": "agent", "timeout_sec": 1800.0} + toml_path.write_text(_dumps(data)) + + task = Repo2RLEnvTask.load(path) + + assert task.network_mode == "no-network" + assert task.cpus == 2 + assert task.memory_mb == 512 + assert task.agent_user == "agent" + assert task.declared_workdir == "/srv/app" + + +def test_unknown_network_mode_is_rejected_not_downgraded(tmp_path: Path): + """Treating an unrecognized mode as `public` is the bug to avoid.""" + path = _emit(tmp_path) + toml_path = path / "task.toml" + data = tomllib.loads(toml_path.read_text()) + data["environment"] = {"network_mode": "vpn"} + toml_path.write_text(_dumps(data)) + + with pytest.raises(TaskFormatError, match="network_mode"): + Repo2RLEnvTask.load(path) + + +def test_container_limits_translate_declared_policies(tmp_path: Path): + pytest.importorskip("openenv") + from dataclasses import replace + + from repo2rlenv.openenv.sandbox import _container_limits + + task = Repo2RLEnvTask.load(_emit(tmp_path)) + + assert _container_limits(task) == {} + limits = _container_limits(replace(task, network_mode="no-network", cpus=2, memory_mb=512)) + assert limits["network_mode"] == "none" + assert limits["cpu_quota"] == 200_000 + assert limits["mem_limit"] == "512m" + + with pytest.raises(SandboxError, match="allowlist"): + _container_limits(replace(task, network_mode="allowlist")) + with pytest.raises(SandboxError, match="GPU"): + _container_limits(replace(task, gpus=1)) + + +def test_agent_is_not_told_where_the_verifier_lives(): + """`/tests` holds the grading logic and `/solution` holds the answer.""" + pytest.importorskip("openenv") + from repo2rlenv.openenv.sandbox import SandboxPaths + + paths = SandboxPaths() + + agent_view = paths.as_env(agent_visible=True) + assert set(agent_view) == {"HARBOR_WORKDIR", "HARBOR_AGENT_LOGS_DIR"} + # The verifier and oracle still get the full set. + assert "HARBOR_TESTS_DIR" in paths.as_env() + assert "HARBOR_LOGS_DIR" in paths.as_env() + + +def test_episode_stays_terminal_after_evaluate(tmp_path: Path): + """`done` must never walk back from True to False.""" + pytest.importorskip("openenv") + from repo2rlenv.openenv.environment import Repo2RLEnvEnvironment + from repo2rlenv.openenv.models import Repo2RLEnvAction + + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + env = Repo2RLEnvEnvironment(dataset=str(dataset)) + # Mark the episode graded without needing Docker to run one. + env._state.evaluated = True + + observation = env.step(Repo2RLEnvAction(action_type="exec", command="ls")) + + assert observation.done + assert not observation.success + assert "episode ended" in observation.error + + +def test_control_actions_can_be_refused_server_side(tmp_path: Path): + """The agent/orchestration split, enforced rather than documented.""" + pytest.importorskip("openenv") + from repo2rlenv.openenv.environment import Repo2RLEnvEnvironment + from repo2rlenv.openenv.models import CONTROL_ACTIONS, Repo2RLEnvAction + + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + env = Repo2RLEnvEnvironment(dataset=str(dataset), allow_control_actions=False) + + for action_type in sorted(CONTROL_ACTIONS): + observation = env.step(Repo2RLEnvAction(action_type=action_type)) + assert not observation.success + assert "orchestration control" in observation.error + + +def test_declared_user_gets_ownership_of_what_it_must_write(tmp_path: Path): + """`[agent].user` is useless if the agent cannot write its own workdir. + + The Harbor directories are created by the image's default account, so a + non-root phase inherits a tree it cannot touch. + """ + pytest.importorskip("openenv") + from dataclasses import replace + + from repo2rlenv.openenv.sandbox import DockerSandbox, ExecResult + + task = replace( + Repo2RLEnvTask.load(_emit(tmp_path)), + agent_user="nobody", + verifier_user="nobody", + ) + chowned: list[str] = [] + sandbox = DockerSandbox() + + def _fake_exec(command, *, timeout_s, env=None, workdir=None, user=None, **kw): + if command.startswith("chown"): + chowned.append(command) + return ExecResult(0, "") + + sandbox.exec = _fake_exec # type: ignore[method-assign] + sandbox.upload_dir = lambda *a, **k: None # type: ignore[method-assign] + sandbox.run_verifier(task) + + assert any("nobody" in c and "verifier" in c for c in chowned), chowned + + +def test_state_does_not_carry_the_host_task_path(tmp_path: Path): + """`state` rides the same socket as `step`, so it must not name the oracle.""" + pytest.importorskip("openenv") + from repo2rlenv.openenv.environment import Repo2RLEnvEnvironment + + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + env = Repo2RLEnvEnvironment(dataset=str(dataset)) + + assert "task_path" not in env.state.model_dump() + + +def test_agent_reads_and_writes_run_as_the_declared_user(tmp_path: Path): + """`read` used `cat` as root and `write` extracted a root-owned tar. + + Either would let a task that declared an unprivileged agent reach files + that agent could never have touched with `exec`. + """ + pytest.importorskip("openenv") + from repo2rlenv.openenv.environment import Repo2RLEnvEnvironment + from repo2rlenv.openenv.models import Repo2RLEnvAction + from repo2rlenv.openenv.sandbox import DockerSandbox, ExecResult + + seen: dict[str, str | None] = {} + sandbox = DockerSandbox() + sandbox.agent_user = "nobody" + sandbox.start = lambda task: None # type: ignore[method-assign] + + def _fake_exec(command, *, timeout_s, env=None, workdir=None, user=None, **kw): + seen[command.split()[0]] = user + return ExecResult(0, "contents") + + sandbox.exec = _fake_exec # type: ignore[method-assign] + + dataset = tmp_path / "ds" + _emit(dataset, "demo__task-1") + env = Repo2RLEnvEnvironment(dataset=str(dataset), sandbox_factory=lambda: sandbox) + env.reset(task_id="demo__task-1") + sandbox.agent_user = "nobody" + + env.step(Repo2RLEnvAction(action_type="read", path="a.py")) + env.step(Repo2RLEnvAction(action_type="write", path="a.py", content="x = 1\n")) + + assert seen["cat"] == "nobody" + assert seen["printf"] == "nobody" + + +def test_symlinks_cannot_walk_read_write_out_of_the_workdir(tmp_path: Path): + """`resolve_within` is lexical, so it cannot see a link the agent planted. + + `exec ln -s /tests t` then `read path="t/test.sh"` would otherwise walk + straight out of the working directory and read the grader. + """ + pytest.importorskip("openenv") + from repo2rlenv.openenv.sandbox import DockerSandbox, ExecResult + + sandbox = DockerSandbox() + + def _fake_exec(command, *, timeout_s, env=None, workdir=None, user=None, **kw): + # Model a container where `link` points at /tests. + if command.startswith("readlink -m"): + target = command.split("'")[1] + resolved = target.replace("/workspace/link", "/tests") + return ExecResult(0, resolved + "\n") + return ExecResult(0, "") + + sandbox.exec = _fake_exec # type: ignore[method-assign] + + with pytest.raises(ValueError, match="escapes"): + sandbox.resolve_agent_path("link/test.sh") + + # 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