From 96139ad4603ad563f83962480e9abc1d63fda39e Mon Sep 17 00:00:00 2001 From: Govind Kamtamneni Date: Tue, 28 Jul 2026 06:08:10 -0700 Subject: [PATCH 1/7] =?UTF-8?q?feat(envs):=20add=20harbor=5Fenv=20?= =?UTF-8?q?=E2=80=94=20serve=20Harbor=20task=20directories=20as=20an=20Ope?= =?UTF-8?q?nEnv=20env?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds envs/harbor_env, which runs any Harbor task directory (https://www.harborframework.com/docs/tasks) as a Gymnasium-style OpenEnv environment. The task directory is the interface: a directory that `harbor run` accepts is served unchanged — no conversion step, no second copy of the data, and no producer-specific code in OpenEnv. That covers Terminal-Bench-lineage tasks and everything Repo2RLEnv generates from a GitHub repository, so a task set built for evaluation is also a training environment. Design ------ The environment is deliberately thin and split by concern: task.py parses task.toml and discovers task directories sandbox.py Harbor's sandbox contract; local and docker backends reward.py Harbor's reward-file contract harbor_env_environment.py reset/step/state over the three above app.py FastAPI Rewards are always produced by the task's own tests/test.sh and only forwarded, per OpenEnv's rewards-in-environment invariant. reward.json is read first and reward.txt is the fallback, matching Harbor. A verifier that writes no reward file yields reward=None and an explicit error rather than a fabricated 0.0, which would be indistinguishable from a genuine failure and would poison training data. exec/read/write are the agent's action space; evaluate and solve are orchestration controls and are never exposed to the agent, keeping the dual API boundary intact. read and write are confined to the working directory so an agent cannot reach /tests or /solution, and the verifier log directory is cleared immediately before the verifier runs so a planted reward file cannot survive into the score. Two backends: `local` runs subprocesses under a per-episode directory tree with Harbor's paths exported as HARBOR_* variables (no Docker, so it works on HF Spaces), and `docker` runs inside the task's own image, which is required for tasks whose starting state lives in an image. Local mode refuses image-backed tasks with an actionable message instead of grading an empty directory, and is documented as a filesystem boundary rather than a security one. Task sets load from a local directory or straight from a Hugging Face dataset (hf://datasets//[@rev]), including the tasks// layout that `repo2rlenv push` writes. Verification ------------ The bundled examples/tasks/fix-sum-bug task is written to run under every runtime and grades identically on all three — 0.600 untouched, 1.000 after solution/solve.sh — under `harbor run` (harbor 0.20.0), harbor_env local mode, and harbor_env docker mode. A real Repo2RLEnv-emitted pr_runtime task (produced by repo2rlenv's own emitter: version = "1.0", [metadata.repo2env], environment/Dockerfile with WORKDIR /workspace, tests/test.sh writing /logs/verifier/reward.txt) scores 0.0 for a no-op agent and 1.0 for the oracle under both `harbor run` and harbor_env docker mode, with reward-details.json surfaced intact as observation.info["reward_details"]. tests/envs/test_harbor_env.py adds 50 hermetic tests (no Docker, no network) covering task parsing including Repo2RLEnv's `version` spelling, catalog discovery, the reward-file precedence chain, workdir escape rejection, the agent/orchestration boundary, and the client/server wire contract. Full suite: 1463 passed, 130 skipped. Also adds examples/quickstart.py, examples/validate_taskset.py (an oracle sweep to run before training on a generated task set), the docs stub, and the environment catalog entry. --- docs/source/_toctree.yml | 2 + docs/source/environments.md | 7 + docs/source/environments/harbor.md | 280 ++ envs/harbor_env/README.md | 296 ++ envs/harbor_env/__init__.py | 30 + envs/harbor_env/client.py | 117 + envs/harbor_env/examples/quickstart.py | 80 + .../tasks/fix-sum-bug/environment/stats.py | 17 + .../examples/tasks/fix-sum-bug/instruction.md | 14 + .../tasks/fix-sum-bug/solution/solve.sh | 12 + .../tasks/fix-sum-bug/solution/stats.py | 16 + .../examples/tasks/fix-sum-bug/task.toml | 24 + .../examples/tasks/fix-sum-bug/tests/grade.py | 77 + .../examples/tasks/fix-sum-bug/tests/test.sh | 28 + envs/harbor_env/examples/validate_taskset.py | 108 + envs/harbor_env/models.py | 149 + envs/harbor_env/openenv.yaml | 10 + envs/harbor_env/pyproject.toml | 41 + envs/harbor_env/server/Dockerfile | 70 + envs/harbor_env/server/__init__.py | 34 + envs/harbor_env/server/app.py | 79 + .../server/harbor_env_environment.py | 393 ++ envs/harbor_env/server/reward.py | 189 + envs/harbor_env/server/sandbox.py | 671 ++++ envs/harbor_env/server/task.py | 463 +++ envs/harbor_env/uv.lock | 3286 +++++++++++++++++ tests/envs/test_harbor_env.py | 653 ++++ 27 files changed, 7146 insertions(+) create mode 100644 docs/source/environments/harbor.md create mode 100644 envs/harbor_env/README.md create mode 100644 envs/harbor_env/__init__.py create mode 100644 envs/harbor_env/client.py create mode 100644 envs/harbor_env/examples/quickstart.py create mode 100644 envs/harbor_env/examples/tasks/fix-sum-bug/environment/stats.py create mode 100644 envs/harbor_env/examples/tasks/fix-sum-bug/instruction.md create mode 100755 envs/harbor_env/examples/tasks/fix-sum-bug/solution/solve.sh create mode 100644 envs/harbor_env/examples/tasks/fix-sum-bug/solution/stats.py create mode 100644 envs/harbor_env/examples/tasks/fix-sum-bug/task.toml create mode 100644 envs/harbor_env/examples/tasks/fix-sum-bug/tests/grade.py create mode 100755 envs/harbor_env/examples/tasks/fix-sum-bug/tests/test.sh create mode 100644 envs/harbor_env/examples/validate_taskset.py create mode 100644 envs/harbor_env/models.py create mode 100644 envs/harbor_env/openenv.yaml create mode 100644 envs/harbor_env/pyproject.toml create mode 100644 envs/harbor_env/server/Dockerfile create mode 100644 envs/harbor_env/server/__init__.py create mode 100644 envs/harbor_env/server/app.py create mode 100644 envs/harbor_env/server/harbor_env_environment.py create mode 100644 envs/harbor_env/server/reward.py create mode 100644 envs/harbor_env/server/sandbox.py create mode 100644 envs/harbor_env/server/task.py create mode 100644 envs/harbor_env/uv.lock create mode 100644 tests/envs/test_harbor_env.py diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml index 730f70236..c3a4b5ff1 100644 --- a/docs/source/_toctree.yml +++ b/docs/source/_toctree.yml @@ -107,6 +107,8 @@ title: FinQA - local: environments/grid_world title: Grid World + - local: environments/harbor + title: Harbor - local: environments/julia title: Julia - local: environments/kernrl diff --git a/docs/source/environments.md b/docs/source/environments.md index beb19be62..ea9742fbc 100644 --- a/docs/source/environments.md +++ b/docs/source/environments.md @@ -187,6 +187,13 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove 🤗 HF +
+
Harbor
+

Runs Harbor task directories — including everything Repo2RLEnv generates from a GitHub repo — unchanged, with local and Docker execution and rewards forwarded from the task's own verifier.

+
+ 📄 Docs +
+
Julia

Julia code execution environment with test result tracking and reward calculation for RL training on Julia programming tasks.

diff --git a/docs/source/environments/harbor.md b/docs/source/environments/harbor.md new file mode 100644 index 000000000..69842ed18 --- /dev/null +++ b/docs/source/environments/harbor.md @@ -0,0 +1,280 @@ + +# Harbor Environment + +Runs [Harbor](https://www.harborframework.com/docs/tasks) task directories as an +OpenEnv environment. + +**The task directory is the interface.** A directory that `harbor run` accepts is +served here unchanged — no conversion, no re-authoring, no second copy of the +data. That covers Terminal-Bench-lineage tasks and everything +[Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) generates from a GitHub +repository, so a task set built for evaluation is also a training environment. + +The reward always comes from the task's own verifier. This environment forwards +it and never computes one of its own. + +## Quick start + +```bash +# 1. Serve the bundled example task +uv run --project envs/harbor_env server + +# 2. Solve it through the client +PYTHONPATH=src:envs uv run python envs/harbor_env/examples/quickstart.py +``` + +```python +import asyncio +from harbor_env import HarborEnv + +async def main(): + env = HarborEnv(base_url="http://localhost:8000") + start = await env.reset(task_id="fix-sum-bug") + print(start.observation.instruction) # the task's instruction.md + + await env.write_file("stats.py", my_fix) # the agent works + result = await env.evaluate() # the task's tests/test.sh grades it + + print(result.reward) # 1.0 + print(result.observation.info["reward_metrics"]) + await env.close() + +asyncio.run(main()) +``` + +Point it at your own tasks with `HARBOR_TASKS_DIR`, which accepts a local +directory or a Hugging Face dataset: + +```bash +HARBOR_TASKS_DIR=./tasks uv run --project envs/harbor_env server +HARBOR_TASKS_DIR=hf://datasets/my-org/click-tasks uv run --project envs/harbor_env server +HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server +``` + +## Execution modes + +| Mode | How it runs | Use it for | +|------|-------------|-----------| +| `local` (default) | Subprocesses under a per-episode directory tree | Self-contained tasks; no Docker, so it works on Hugging Face Spaces | +| `docker` | Inside the task's own image, files streamed over the Docker API | Everything — required for tasks whose starting state lives in an image | + +> **`local` mode is a filesystem boundary, not a security boundary.** `exec` +> runs shell commands as the server's own user with the server's own +> environment, so a task or a policy can read whatever that user can and can +> reach the network. Serve task sets you trust in `local` mode; use `docker` +> mode for anything else. + +`docker` mode needs the `docker` Python package. It ships in this environment's +own dependencies, so `uv run --project envs/harbor_env server` already has it; +add it explicitly when driving the environment from the repo root: + +```bash +PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py --mode docker +``` + +A task is **self-contained** when it ships its starting files in `environment/` +and declares no `environment/Dockerfile` or `docker-compose.yaml`. Those run in +either mode. Anything else — including every `repo2rlenv` task with an +`environment/Dockerfile` — needs `docker`, and `local` mode says so explicitly +rather than grading an empty directory: + +``` +task 'pallets__click-2951' keeps its starting state in a container image +(environment/Dockerfile), which the local backend cannot reproduce. +Run the server with HARBOR_MODE=docker, or use a task that ships its files in environment/. +``` + +## The task format + +```text +/ +├── task.toml # config + metadata (required) +├── instruction.md # the prompt shown to the agent +├── environment/ # Dockerfile, compose file, or seed files +├── tests/ +│ └── test.sh # the verifier (required to grade) +└── solution/ + └── solve.sh # the reference solution (optional) +``` + +Both spellings of the schema field are read: Harbor writes `schema_version`, +Repo2RLEnv writes `version`. Harbor's special paths are honoured exactly: + +| Path | Contents | When | +|------|----------|------| +| working directory | what the agent edits — the image's `WORKDIR` | for the whole episode | +| `/tests` | the task's `tests/` | staged just before the verifier runs | +| `/solution` | the task's `solution/` | staged only for `solve` | +| `/logs/verifier` | `reward.json` / `reward.txt` | written by the verifier | +| `/logs/agent` | scratch space for agent logs | for the whole episode | + +## Rewards + +The verifier writes its verdict into `/logs/verifier`; `reward.json` is read +first and `reward.txt` is the fallback, matching Harbor. + +| Verifier wrote | `result.reward` | `observation.info["reward_source"]` | +|----------------|-----------------|--------------------------------------| +| `reward.json` with a `reward` key | that value | `reward.json` | +| `reward.json` with one metric | that value | `reward.json` | +| `reward.json` with several metrics, no `reward` key | falls back to `reward.txt` | `reward.txt` | +| `reward.txt` only | that value | `reward.txt` | +| nothing | `None`, `success=False` | `missing` | + +Every numeric metric from `reward.json` is surfaced in +`observation.info["reward_metrics"]`, and Repo2RLEnv's nested +`reward-details.json` sidecar (F2P/P2P counts, diff-similarity components) in +`observation.info["reward_details"]`. + +A verifier that writes no reward file yields **no reward at all**, not a `0.0`. +A fabricated zero is indistinguishable from a genuine failure and would quietly +poison a training run. + +## Action space + +`HarborAction.action_type` is one of: + +| Action | Fields | Purpose | +|--------|--------|---------| +| `exec` | `command`, `timeout_s` | Run a shell command in the working directory | +| `read` | `path` | Read a file, relative to the working directory | +| `write` | `path`, `content` | Write a file, relative to the working directory | +| `evaluate` | — | Run `tests/test.sh` and end the episode | +| `solve` | — | Apply `solution/solve.sh` — Harbor's oracle agent | + +`exec`, `read` and `write` are the agent's action space. `evaluate` and `solve` +are training-orchestration controls: they decide when an episode ends and can +hand over the answer, so they belong on the infrastructure side of OpenEnv's +[dual API boundary](https://github.com/huggingface/OpenEnv/blob/main/rfcs/001-architecture.md) +and are never exposed to the agent. + +`read` and `write` are confined to the working directory, so an agent cannot +reach `/tests` or `/solution`. The verifier log directory is also cleared +immediately before the verifier runs, so a planted reward file cannot survive +into the score. + +## Working with Repo2RLEnv + +[Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) turns a GitHub +repository into verifiable Harbor tasks. The output needs no conversion: + +```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. Check every task is solvable by its own oracle before training on it +PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \ + --tasks ./tasks --mode docker + +# 3. Serve them +HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server +``` + +Tasks published with `repo2rlenv push` live under `tasks//` in a Hugging Face +dataset; that layout is discovered automatically, so +`HARBOR_TASKS_DIR=hf://datasets//` is enough. + +Rewards line up with what the pipeline produced: `test_execution` +(`f2p_rate × p2p_rate`) for the `_runtime` pipelines and `diff_similarity` for +`pr_diff`, forwarded exactly as the verifier computed them. + +## Writing a task that runs in both places + +Harbor's absolute paths only exist inside a container. A verifier that prefers +the `HARBOR_*` variables and falls back to those paths runs unchanged under +`harbor run`, under `docker` mode, and under `local` mode: + +```bash +#!/bin/bash +set -uo pipefail +LOGS_DIR="${HARBOR_LOGS_DIR:-/logs/verifier}" +TESTS_DIR="${HARBOR_TESTS_DIR:-/tests}" +WORKDIR="${HARBOR_WORKDIR:-$(pwd)}" + +mkdir -p "$LOGS_DIR" +cd "$WORKDIR" +# ...grade, then write the reward... +echo '{"reward": 1.0}' > "$LOGS_DIR/reward.json" +exit 0 # the reward file is the verdict, not the exit code +``` + +The bundled `examples/tasks/fix-sum-bug` task does exactly this, and grades +identically across all three runtimes (verified against `harbor` 0.20.0): + +| Runtime | Untouched task | After `solution/solve.sh` | +|---------|----------------|---------------------------| +| `harbor run -a nop` / `-a oracle` | 0.600 | 1.000 | +| `harbor_env` in `local` mode | 0.600 | 1.000 | +| `harbor_env` in `docker` mode | 0.600 | 1.000 | + +Reproduce the first row with `harbor run -p envs/harbor_env/examples/tasks/fix-sum-bug -a nop` +and the other two with `examples/validate_taskset.py`. + +A verifier that hardcodes `/logs/verifier` still works in `docker` mode; in +`local` mode the episode reports that it could not be scored and names the fix. + +## Configuration + +| Variable | Default | Meaning | +|----------|---------|---------| +| `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//[@rev]` | +| `HARBOR_MODE` | `local` | `local` or `docker` | +| `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none | +| `HARBOR_COMMAND_TIMEOUT_S` | `120` | Timeout for agent `exec` actions | +| `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode | +| `MAX_CONCURRENT_ENVS` | `8` | Concurrent WebSocket sessions | + +Verifier and oracle timeouts come from `[verifier].timeout_sec` and +`[agent].timeout_sec` in each task's `task.toml`. + +## Running in Docker + +```bash +docker build -t harbor-env:latest -f envs/harbor_env/server/Dockerfile envs/harbor_env + +# local mode, your own tasks +docker run --rm -p 8000:8000 -v "$PWD/tasks:/tasks:ro" -e HARBOR_TASKS_DIR=/tasks harbor-env:latest + +# docker mode needs the host daemon, so tasks can start their own containers +docker run --rm -p 8000:8000 \ + -v /var/run/docker.sock:/var/run/docker.sock \ + -v "$PWD/tasks:/tasks:ro" \ + -e HARBOR_TASKS_DIR=/tasks -e HARBOR_MODE=docker \ + harbor-env:latest +``` + +Hugging Face Spaces cannot run Docker-in-Docker, so a Space serves `local` mode +and therefore self-contained tasks. + +## Examples + +| Script | What it shows | +|--------|---------------| +| [`examples/quickstart.py`](https://github.com/huggingface/OpenEnv/blob/main/envs/harbor_env/examples/quickstart.py) | A full episode against a running server | +| [`examples/validate_taskset.py`](https://github.com/huggingface/OpenEnv/blob/main/envs/harbor_env/examples/validate_taskset.py) | Oracle sweep over a task set — run this before training | +| [`examples/tasks/fix-sum-bug/`](https://github.com/huggingface/OpenEnv/tree/main/envs/harbor_env/examples/tasks/fix-sum-bug) | A Harbor task written to run under every runtime | + +## Layout + +```text +envs/harbor_env/ +├── models.py # HarborAction / HarborObservation / HarborState +├── client.py # HarborEnv +├── examples/ +└── server/ + ├── task.py # task.toml parsing + task discovery + ├── sandbox.py # Harbor's sandbox contract; local + docker backends + ├── reward.py # the reward-file contract + ├── harbor_env_environment.py # Gymnasium orchestration over the three above + └── app.py # FastAPI server +``` + +## Tests + +```bash +PYTHONPATH=src:envs uv run pytest tests/envs/test_harbor_env.py -v +``` + +They are hermetic — no Docker, no network — and use the bundled example task as +the end-to-end fixture. diff --git a/envs/harbor_env/README.md b/envs/harbor_env/README.md new file mode 100644 index 000000000..ea1d43e04 --- /dev/null +++ b/envs/harbor_env/README.md @@ -0,0 +1,296 @@ +--- +title: Harbor Environment Server +emoji: "⚓" +colorFrom: indigo +colorTo: blue +sdk: docker +pinned: false +app_port: 8000 +base_path: /web +tags: + - openenv + - harbor + - repo2rlenv + - swe + - spaces +--- + +# Harbor Environment + +Runs [Harbor](https://www.harborframework.com/docs/tasks) task directories as an +OpenEnv environment. + +**The task directory is the interface.** A directory that `harbor run` accepts is +served here unchanged — no conversion, no re-authoring, no second copy of the +data. That covers Terminal-Bench-lineage tasks and everything +[Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) generates from a GitHub +repository, so a task set built for evaluation is also a training environment. + +The reward always comes from the task's own verifier. This environment forwards +it and never computes one of its own. + +## Quick start + +```bash +# 1. Serve the bundled example task +uv run --project envs/harbor_env server + +# 2. Solve it through the client +PYTHONPATH=src:envs uv run python envs/harbor_env/examples/quickstart.py +``` + +```python +import asyncio +from harbor_env import HarborEnv + +async def main(): + env = HarborEnv(base_url="http://localhost:8000") + start = await env.reset(task_id="fix-sum-bug") + print(start.observation.instruction) # the task's instruction.md + + await env.write_file("stats.py", my_fix) # the agent works + result = await env.evaluate() # the task's tests/test.sh grades it + + print(result.reward) # 1.0 + print(result.observation.info["reward_metrics"]) + await env.close() + +asyncio.run(main()) +``` + +Point it at your own tasks with `HARBOR_TASKS_DIR`, which accepts a local +directory or a Hugging Face dataset: + +```bash +HARBOR_TASKS_DIR=./tasks uv run --project envs/harbor_env server +HARBOR_TASKS_DIR=hf://datasets/my-org/click-tasks uv run --project envs/harbor_env server +HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server +``` + +## Execution modes + +| Mode | How it runs | Use it for | +|------|-------------|-----------| +| `local` (default) | Subprocesses under a per-episode directory tree | Self-contained tasks; no Docker, so it works on Hugging Face Spaces | +| `docker` | Inside the task's own image, files streamed over the Docker API | Everything — required for tasks whose starting state lives in an image | + +> **`local` mode is a filesystem boundary, not a security boundary.** `exec` +> runs shell commands as the server's own user with the server's own +> environment, so a task or a policy can read whatever that user can and can +> reach the network. Serve task sets you trust in `local` mode; use `docker` +> mode for anything else. + +`docker` mode needs the `docker` Python package. It ships in this environment's +own dependencies, so `uv run --project envs/harbor_env server` already has it; +add it explicitly when driving the environment from the repo root: + +```bash +PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py --mode docker +``` + +A task is **self-contained** when it ships its starting files in `environment/` +and declares no `environment/Dockerfile` or `docker-compose.yaml`. Those run in +either mode. Anything else — including every `repo2rlenv` task with an +`environment/Dockerfile` — needs `docker`, and `local` mode says so explicitly +rather than grading an empty directory: + +``` +task 'pallets__click-2951' keeps its starting state in a container image +(environment/Dockerfile), which the local backend cannot reproduce. +Run the server with HARBOR_MODE=docker, or use a task that ships its files in environment/. +``` + +## The task format + +```text +/ +├── task.toml # config + metadata (required) +├── instruction.md # the prompt shown to the agent +├── environment/ # Dockerfile, compose file, or seed files +├── tests/ +│ └── test.sh # the verifier (required to grade) +└── solution/ + └── solve.sh # the reference solution (optional) +``` + +Both spellings of the schema field are read: Harbor writes `schema_version`, +Repo2RLEnv writes `version`. Harbor's special paths are honoured exactly: + +| Path | Contents | When | +|------|----------|------| +| working directory | what the agent edits — the image's `WORKDIR` | for the whole episode | +| `/tests` | the task's `tests/` | staged just before the verifier runs | +| `/solution` | the task's `solution/` | staged only for `solve` | +| `/logs/verifier` | `reward.json` / `reward.txt` | written by the verifier | +| `/logs/agent` | scratch space for agent logs | for the whole episode | + +## Rewards + +The verifier writes its verdict into `/logs/verifier`; `reward.json` is read +first and `reward.txt` is the fallback, matching Harbor. + +| Verifier wrote | `result.reward` | `observation.info["reward_source"]` | +|----------------|-----------------|--------------------------------------| +| `reward.json` with a `reward` key | that value | `reward.json` | +| `reward.json` with one metric | that value | `reward.json` | +| `reward.json` with several metrics, no `reward` key | falls back to `reward.txt` | `reward.txt` | +| `reward.txt` only | that value | `reward.txt` | +| nothing | `None`, `success=False` | `missing` | + +Every numeric metric from `reward.json` is surfaced in +`observation.info["reward_metrics"]`, and Repo2RLEnv's nested +`reward-details.json` sidecar (F2P/P2P counts, diff-similarity components) in +`observation.info["reward_details"]`. + +A verifier that writes no reward file yields **no reward at all**, not a `0.0`. +A fabricated zero is indistinguishable from a genuine failure and would quietly +poison a training run. + +## Action space + +`HarborAction.action_type` is one of: + +| Action | Fields | Purpose | +|--------|--------|---------| +| `exec` | `command`, `timeout_s` | Run a shell command in the working directory | +| `read` | `path` | Read a file, relative to the working directory | +| `write` | `path`, `content` | Write a file, relative to the working directory | +| `evaluate` | — | Run `tests/test.sh` and end the episode | +| `solve` | — | Apply `solution/solve.sh` — Harbor's oracle agent | + +`exec`, `read` and `write` are the agent's action space. `evaluate` and `solve` +are training-orchestration controls: they decide when an episode ends and can +hand over the answer, so they belong on the infrastructure side of OpenEnv's +[dual API boundary](https://github.com/huggingface/OpenEnv/blob/main/rfcs/001-architecture.md) +and are never exposed to the agent. + +`read` and `write` are confined to the working directory, so an agent cannot +reach `/tests` or `/solution`. The verifier log directory is also cleared +immediately before the verifier runs, so a planted reward file cannot survive +into the score. + +## Working with Repo2RLEnv + +[Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) turns a GitHub +repository into verifiable Harbor tasks. The output needs no conversion: + +```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. Check every task is solvable by its own oracle before training on it +PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \ + --tasks ./tasks --mode docker + +# 3. Serve them +HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server +``` + +Tasks published with `repo2rlenv push` live under `tasks//` in a Hugging Face +dataset; that layout is discovered automatically, so +`HARBOR_TASKS_DIR=hf://datasets//` is enough. + +Rewards line up with what the pipeline produced: `test_execution` +(`f2p_rate × p2p_rate`) for the `_runtime` pipelines and `diff_similarity` for +`pr_diff`, forwarded exactly as the verifier computed them. + +## Writing a task that runs in both places + +Harbor's absolute paths only exist inside a container. A verifier that prefers +the `HARBOR_*` variables and falls back to those paths runs unchanged under +`harbor run`, under `docker` mode, and under `local` mode: + +```bash +#!/bin/bash +set -uo pipefail +LOGS_DIR="${HARBOR_LOGS_DIR:-/logs/verifier}" +TESTS_DIR="${HARBOR_TESTS_DIR:-/tests}" +WORKDIR="${HARBOR_WORKDIR:-$(pwd)}" + +mkdir -p "$LOGS_DIR" +cd "$WORKDIR" +# ...grade, then write the reward... +echo '{"reward": 1.0}' > "$LOGS_DIR/reward.json" +exit 0 # the reward file is the verdict, not the exit code +``` + +The bundled `examples/tasks/fix-sum-bug` task does exactly this, and grades +identically across all three runtimes (verified against `harbor` 0.20.0): + +| Runtime | Untouched task | After `solution/solve.sh` | +|---------|----------------|---------------------------| +| `harbor run -a nop` / `-a oracle` | 0.600 | 1.000 | +| `harbor_env` in `local` mode | 0.600 | 1.000 | +| `harbor_env` in `docker` mode | 0.600 | 1.000 | + +Reproduce the first row with `harbor run -p envs/harbor_env/examples/tasks/fix-sum-bug -a nop` +and the other two with `examples/validate_taskset.py`. + +A verifier that hardcodes `/logs/verifier` still works in `docker` mode; in +`local` mode the episode reports that it could not be scored and names the fix. + +## Configuration + +| Variable | Default | Meaning | +|----------|---------|---------| +| `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//[@rev]` | +| `HARBOR_MODE` | `local` | `local` or `docker` | +| `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none | +| `HARBOR_COMMAND_TIMEOUT_S` | `120` | Timeout for agent `exec` actions | +| `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode | +| `MAX_CONCURRENT_ENVS` | `8` | Concurrent WebSocket sessions | + +Verifier and oracle timeouts come from `[verifier].timeout_sec` and +`[agent].timeout_sec` in each task's `task.toml`. + +## Running in Docker + +```bash +docker build -t harbor-env:latest -f envs/harbor_env/server/Dockerfile envs/harbor_env + +# local mode, your own tasks +docker run --rm -p 8000:8000 -v "$PWD/tasks:/tasks:ro" -e HARBOR_TASKS_DIR=/tasks harbor-env:latest + +# docker mode needs the host daemon, so tasks can start their own containers +docker run --rm -p 8000:8000 \ + -v /var/run/docker.sock:/var/run/docker.sock \ + -v "$PWD/tasks:/tasks:ro" \ + -e HARBOR_TASKS_DIR=/tasks -e HARBOR_MODE=docker \ + harbor-env:latest +``` + +Hugging Face Spaces cannot run Docker-in-Docker, so a Space serves `local` mode +and therefore self-contained tasks. + +## Examples + +| Script | What it shows | +|--------|---------------| +| [`examples/quickstart.py`](https://github.com/huggingface/OpenEnv/blob/main/envs/harbor_env/examples/quickstart.py) | A full episode against a running server | +| [`examples/validate_taskset.py`](https://github.com/huggingface/OpenEnv/blob/main/envs/harbor_env/examples/validate_taskset.py) | Oracle sweep over a task set — run this before training | +| [`examples/tasks/fix-sum-bug/`](https://github.com/huggingface/OpenEnv/tree/main/envs/harbor_env/examples/tasks/fix-sum-bug) | A Harbor task written to run under every runtime | + +## Layout + +```text +envs/harbor_env/ +├── models.py # HarborAction / HarborObservation / HarborState +├── client.py # HarborEnv +├── examples/ +└── server/ + ├── task.py # task.toml parsing + task discovery + ├── sandbox.py # Harbor's sandbox contract; local + docker backends + ├── reward.py # the reward-file contract + ├── harbor_env_environment.py # Gymnasium orchestration over the three above + └── app.py # FastAPI server +``` + +## Tests + +```bash +PYTHONPATH=src:envs uv run pytest tests/envs/test_harbor_env.py -v +``` + +They are hermetic — no Docker, no network — and use the bundled example task as +the end-to-end fixture. diff --git a/envs/harbor_env/__init__.py b/envs/harbor_env/__init__.py new file mode 100644 index 000000000..629c806b7 --- /dev/null +++ b/envs/harbor_env/__init__.py @@ -0,0 +1,30 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Harbor Environment — run Harbor task directories as an OpenEnv environment. + +The task directory is the interface. A directory that `harbor run` accepts — +including everything [Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) +emits — is served here unchanged, with the reward taken from the task's own +verifier. +""" + +from .client import HarborEnv +from .models import ( + AGENT_ACTIONS, + CONTROL_ACTIONS, + HarborAction, + HarborActionType, + HarborObservation, + HarborState, +) + + +__all__ = [ + "AGENT_ACTIONS", + "CONTROL_ACTIONS", + "HarborAction", + "HarborActionType", + "HarborEnv", + "HarborObservation", + "HarborState", +] diff --git a/envs/harbor_env/client.py b/envs/harbor_env/client.py new file mode 100644 index 000000000..a501ea8f2 --- /dev/null +++ b/envs/harbor_env/client.py @@ -0,0 +1,117 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Client for the Harbor environment.""" + +from __future__ import annotations + +from typing import Any + + +# Support both in-repo and standalone imports +try: + # In-repo imports (when running from OpenEnv repository) + from openenv.core.client_types import StepResult + from openenv.core.env_client import EnvClient + + from .models import HarborAction, HarborObservation, HarborState +except ImportError: + # Standalone imports (when environment is standalone with openenv from pip) + from models import HarborAction, HarborObservation, HarborState + + from openenv.core.client_types import StepResult + from openenv.core.env_client import EnvClient + + +class HarborEnv(EnvClient[HarborAction, HarborObservation, HarborState]): + """Drives a Harbor task server over the standard OpenEnv WebSocket API. + + The five actions map onto Harbor's phases: `run` / `read_file` / `write_file` + are what an agent does, [`evaluate`] runs the task's verifier and ends the + episode, and [`solve`] applies the task's reference solution. + + Examples: + + ```python + import asyncio + from harbor_env import HarborEnv + + async def main(): + env = HarborEnv(base_url="http://localhost:8000") + start = await env.reset(task_id="fix-sum-bug") + print(start.observation.instruction) + + await env.write_file("calc.py", "def total(xs):\\n return sum(xs)\\n") + result = await env.evaluate() + print(result.reward, result.done) + await env.close() + + asyncio.run(main()) + ``` + + The same flow synchronously: + + ```python + with HarborEnv(base_url="http://localhost:8000").sync() as env: + env.reset(task_id="fix-sum-bug") + env.step(HarborAction(action_type="exec", command="pytest -q")) + print(env.step(HarborAction(action_type="evaluate")).reward) + ``` + """ + + # --- convenience wrappers ---------------------------------------------- + + async def run( + self, command: str, timeout_s: float | None = None + ) -> StepResult[HarborObservation]: + """Run a shell command in the task's working directory.""" + return await self.step( + HarborAction(action_type="exec", command=command, timeout_s=timeout_s) + ) + + async def read_file(self, path: str) -> StepResult[HarborObservation]: + """Read a file, relative to the task's working directory.""" + return await self.step(HarborAction(action_type="read", path=path)) + + async def write_file( + self, path: str, content: str + ) -> StepResult[HarborObservation]: + """Write a file, relative to the task's working directory.""" + return await self.step( + HarborAction(action_type="write", path=path, content=content) + ) + + async def evaluate(self) -> StepResult[HarborObservation]: + """Run the task's verifier and end the episode. + + The reward is whatever `tests/test.sh` wrote to `/logs/verifier`; the + per-metric breakdown is in `observation.info`. + """ + return await self.step(HarborAction(action_type="evaluate")) + + async def solve(self) -> StepResult[HarborObservation]: + """Apply the task's reference solution — Harbor's oracle agent. + + Follow with [`evaluate`] to confirm the task grades at full reward. This + is orchestration tooling for validating a task set, not part of an + agent's action space. + """ + return await self.step(HarborAction(action_type="solve")) + + # --- wire protocol ------------------------------------------------------ + + def _step_payload(self, action: HarborAction) -> dict[str, Any]: + return action.model_dump() + + def _parse_result(self, payload: dict[str, Any]) -> StepResult[HarborObservation]: + data = dict(payload.get("observation", {})) + data["reward"] = payload.get("reward") + data["done"] = payload.get("done", False) + observation = HarborObservation.model_validate(data) + return StepResult( + observation=observation, + reward=observation.reward, + done=observation.done, + ) + + def _parse_state(self, payload: dict[str, Any]) -> HarborState: + return HarborState.model_validate(payload) diff --git a/envs/harbor_env/examples/quickstart.py b/envs/harbor_env/examples/quickstart.py new file mode 100644 index 000000000..d72447381 --- /dev/null +++ b/envs/harbor_env/examples/quickstart.py @@ -0,0 +1,80 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Quickstart: solve a Harbor task through a running Harbor environment server. + +Start the server first (it serves the bundled example task by default): + +```bash +uv run --project envs/harbor_env server +``` + +then run this script: + +```bash +PYTHONPATH=src:envs uv run python envs/harbor_env/examples/quickstart.py +``` + +It walks the full episode: read the instruction, inspect the working directory, +write a fix, and grade the result with the task's own verifier. +""" + +from __future__ import annotations + +import argparse +import asyncio + +from harbor_env import HarborEnv + + +FIXED_STATS = '''"""Small statistics helpers.""" + + +def total(values): + """Return the sum of ``values``, or ``0`` when there are none.""" + return sum(values) + + +def mean(values): + """Return the arithmetic mean of ``values``, or ``0.0`` when there are none.""" + if not values: + return 0.0 + return total(values) / len(values) +''' + + +async def main(base_url: str, task_id: str) -> None: + env = HarborEnv(base_url=base_url) + try: + start = await env.reset(task_id=task_id) + print( + f"task : {start.observation.task_name} ({start.observation.mode} mode)" + ) + print(f"workdir : {start.observation.workdir}") + print(f"\n{start.observation.instruction}") + + listing = await env.run("ls -1") + print(f"files : {listing.observation.output.split()}") + + # Grade the starting state, to see what an agent has to beat. + before = await env.evaluate() + print(f"\nbaseline reward: {before.reward}") + print(f" metrics : {before.observation.info.get('reward_metrics')}") + + # Episodes are one-shot: `evaluate` ends them, so start a fresh one to + # actually solve the task. + await env.reset(task_id=task_id) + await env.write_file("stats.py", FIXED_STATS) + after = await env.evaluate() + + print(f"\nreward after fix: {after.reward} (done={after.done})") + print(f" source : {after.observation.info.get('reward_source')}") + finally: + await env.close() + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--base-url", default="http://localhost:8000") + parser.add_argument("--task-id", default="fix-sum-bug") + args = parser.parse_args() + asyncio.run(main(args.base_url, args.task_id)) diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/environment/stats.py b/envs/harbor_env/examples/tasks/fix-sum-bug/environment/stats.py new file mode 100644 index 000000000..42c25e9c3 --- /dev/null +++ b/envs/harbor_env/examples/tasks/fix-sum-bug/environment/stats.py @@ -0,0 +1,17 @@ +"""Small statistics helpers. + +Both functions mishandle their edge cases; see instruction.md. +""" + + +def total(values): + """Return the sum of ``values``.""" + result = values[0] + for value in values[1:]: + result += value + return result + + +def mean(values): + """Return the arithmetic mean of ``values``.""" + return total(values) / len(values) diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/instruction.md b/envs/harbor_env/examples/tasks/fix-sum-bug/instruction.md new file mode 100644 index 000000000..44e1c224c --- /dev/null +++ b/envs/harbor_env/examples/tasks/fix-sum-bug/instruction.md @@ -0,0 +1,14 @@ +# Fix `stats.py` + +`stats.py` in your working directory provides two helpers, and both are wrong at +the edges: + +- `total(values)` must return the sum of `values`, and `0` for an empty sequence. +- `mean(values)` must return the arithmetic mean, and `0.0` for an empty sequence + (rather than raising `ZeroDivisionError`). + +Fix `stats.py` so both behave as described. Keep the function names and +signatures unchanged — the grader imports them directly. + +The grader awards partial credit: your reward is the fraction of its checks that +pass. diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/solution/solve.sh b/envs/harbor_env/examples/tasks/fix-sum-bug/solution/solve.sh new file mode 100755 index 000000000..d100e6f8d --- /dev/null +++ b/envs/harbor_env/examples/tasks/fix-sum-bug/solution/solve.sh @@ -0,0 +1,12 @@ +#!/bin/bash +# Harbor oracle agent entry point: leave the working directory in the solved state. +# +# Harbor copies this whole directory to /solution and runs it, so the reference +# implementation sitting next to this script is what we install. +set -euo pipefail + +WORKDIR="${HARBOR_WORKDIR:-$(pwd)}" +SOLUTION_DIR="$(cd "$(dirname "$0")" && pwd)" + +cp "$SOLUTION_DIR/stats.py" "$WORKDIR/stats.py" +echo "installed the reference stats.py into $WORKDIR" diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/solution/stats.py b/envs/harbor_env/examples/tasks/fix-sum-bug/solution/stats.py new file mode 100644 index 000000000..38c1e84fe --- /dev/null +++ b/envs/harbor_env/examples/tasks/fix-sum-bug/solution/stats.py @@ -0,0 +1,16 @@ +"""Reference solution for the `fix-sum-bug` example task.""" + + +def total(values): + """Return the sum of ``values``, or ``0`` when there are none.""" + result = 0 + for value in values: + result += value + return result + + +def mean(values): + """Return the arithmetic mean of ``values``, or ``0.0`` when there are none.""" + if not values: + return 0.0 + return total(values) / len(values) diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/task.toml b/envs/harbor_env/examples/tasks/fix-sum-bug/task.toml new file mode 100644 index 000000000..5a6b5ef93 --- /dev/null +++ b/envs/harbor_env/examples/tasks/fix-sum-bug/task.toml @@ -0,0 +1,24 @@ +schema_version = "1.4" + +[task] +name = "openenv/fix-sum-bug" +version = "1.0.0" +description = "Fix a statistics helper so it handles empty and single-element inputs." +keywords = ["example", "python", "bugfix"] + +[metadata] +difficulty = "easy" +category = "programming" +difficulty_explanation = "A two-line fix; exists to exercise the task format end to end." + +[environment] +# No environment/Dockerfile, so Harbor uploads the other environment/ files into +# the working directory and runs them on this image. That also makes the task +# self-contained, which is what lets OpenEnv's local backend run it without Docker. +docker_image = "python:3.12-slim" + +[agent] +timeout_sec = 600.0 + +[verifier] +timeout_sec = 120.0 diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/tests/grade.py b/envs/harbor_env/examples/tasks/fix-sum-bug/tests/grade.py new file mode 100644 index 000000000..6ef8ac5a4 --- /dev/null +++ b/envs/harbor_env/examples/tasks/fix-sum-bug/tests/grade.py @@ -0,0 +1,77 @@ +"""Grader for the `fix-sum-bug` example task. + +Imports `stats.py` out of the working directory, runs a handful of checks, and +writes the score into the verifier log directory using Harbor's reward contract: + +- `reward.json` — flat map of numeric metrics, including the primary `reward` +- `reward.txt` — the same scalar, for runtimes that only read the plain file + +Depends on nothing outside the standard library so it runs on a bare +`python:3-slim` image. +""" + +import importlib.util +import json +import os +import sys +from pathlib import Path + + +LOGS_DIR = Path(os.environ.get("HARBOR_LOGS_DIR", "/logs/verifier")) +WORKDIR = Path(os.environ.get("HARBOR_WORKDIR", os.getcwd())) + +CHECKS = [ + ("total_empty", lambda m: m.total([]) == 0), + ("total_values", lambda m: m.total([1, 2, 3]) == 6), + ("total_single", lambda m: m.total([7]) == 7), + ("mean_empty", lambda m: m.mean([]) == 0.0), + ("mean_values", lambda m: m.mean([2, 4]) == 3.0), +] + + +def load_stats(): + """Import `stats.py` from the working directory.""" + module_path = WORKDIR / "stats.py" + spec = importlib.util.spec_from_file_location("stats_under_test", module_path) + if spec is None or spec.loader is None: + raise ImportError(f"could not import {module_path}") + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + return module + + +def main() -> int: + results: dict[str, float] = {} + try: + module = load_stats() + except Exception as exc: + print(f"could not load stats.py: {exc}") + write_reward(0.0, {name: 0.0 for name, _ in CHECKS}) + return 1 + + for name, check in CHECKS: + try: + passed = bool(check(module)) + except Exception as exc: + passed = False + print(f"{name}: raised {type(exc).__name__}: {exc}") + results[name] = 1.0 if passed else 0.0 + print(f"{name}: {'PASS' if passed else 'FAIL'}") + + reward = sum(results.values()) / len(results) + print(f"score: {reward:.4f} ({int(sum(results.values()))}/{len(results)} checks)") + write_reward(reward, results) + return 0 if reward == 1.0 else 1 + + +def write_reward(reward: float, checks: dict[str, float]) -> None: + LOGS_DIR.mkdir(parents=True, exist_ok=True) + payload = {"reward": round(reward, 6), **checks} + (LOGS_DIR / "reward.json").write_text( + json.dumps(payload, indent=2), encoding="utf-8" + ) + (LOGS_DIR / "reward.txt").write_text(f"{reward:.6f}\n", encoding="utf-8") + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/tests/test.sh b/envs/harbor_env/examples/tasks/fix-sum-bug/tests/test.sh new file mode 100755 index 000000000..9f2f3b913 --- /dev/null +++ b/envs/harbor_env/examples/tasks/fix-sum-bug/tests/test.sh @@ -0,0 +1,28 @@ +#!/bin/bash +# Harbor verifier entry point. +# +# Contract: write the reward into the verifier log directory — `reward.json` for a +# graded score, `reward.txt` for a single number. The exit code is NOT the verdict. +# +# Portability: prefer the $HARBOR_* variables when they are set, and fall back to +# Harbor's absolute container paths otherwise. That keeps one script working under +# `harbor run` (absolute paths inside a container) and under OpenEnv's local +# backend (a per-episode directory tree). +set -uo pipefail + +LOGS_DIR="${HARBOR_LOGS_DIR:-/logs/verifier}" +TESTS_DIR="${HARBOR_TESTS_DIR:-/tests}" +WORKDIR="${HARBOR_WORKDIR:-$(pwd)}" + +mkdir -p "$LOGS_DIR" + +PYTHON="$(command -v python3 || command -v python)" +if [ -z "$PYTHON" ]; then + echo "no python interpreter available" >&2 + exit 0 +fi + +HARBOR_LOGS_DIR="$LOGS_DIR" HARBOR_WORKDIR="$WORKDIR" \ + "$PYTHON" "$TESTS_DIR/grade.py" 2>&1 | tee "$LOGS_DIR/verifier.log" + +exit 0 diff --git a/envs/harbor_env/examples/validate_taskset.py b/envs/harbor_env/examples/validate_taskset.py new file mode 100644 index 000000000..ab3cdb0ef --- /dev/null +++ b/envs/harbor_env/examples/validate_taskset.py @@ -0,0 +1,108 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Validate a Harbor task set by running each task's own reference solution. + +This is the check to run against a freshly generated task set — the equivalent +of Harbor's oracle agent (`harbor run -a oracle`). A task whose own solution +does not score full reward is broken, and training against it teaches nothing. + +```bash +# the bundled example task +PYTHONPATH=src:envs uv run python envs/harbor_env/examples/validate_taskset.py + +# a task set you generated with Repo2RLEnv (image-backed, so Docker mode) +PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \\ + --tasks ./tasks --mode docker + +# straight from the Hub +PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \\ + --tasks hf://datasets/my-org/click-pr-tasks --mode docker +``` + +Runs in-process against the environment, so no server is needed. +""" + +from __future__ import annotations + +import argparse +import sys +from dataclasses import dataclass + +from harbor_env import HarborAction +from harbor_env.server import HarborEnvironment + + +#: A task whose oracle scores below this is treated as broken. +PASS_THRESHOLD = 1.0 + + +@dataclass +class Outcome: + task_id: str + reward: float | None + detail: str + + @property + def ok(self) -> bool: + return self.reward is not None and self.reward >= PASS_THRESHOLD + + def __str__(self) -> str: + mark = "PASS" if self.ok else "FAIL" + score = "n/a" if self.reward is None else f"{self.reward:.3f}" + return f"[{mark}] {self.task_id:<40} reward={score:<7} {self.detail}" + + +def validate(env: HarborEnvironment, task_id: str) -> Outcome: + """Reset, apply the task's own solution, and grade it.""" + try: + env.reset(task_id=task_id) + except Exception as exc: + return Outcome(task_id, None, f"reset failed: {exc}") + + solved = env.step(HarborAction(action_type="solve")) + if not solved.success: + return Outcome( + task_id, None, f"solution failed: {solved.error or solved.output[-200:]}" + ) + + graded = env.step(HarborAction(action_type="evaluate")) + detail = "" if graded.success else (graded.error or "") + return Outcome(task_id, graded.reward, detail) + + +def main() -> int: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "--tasks", default=None, help="task directory or hf://datasets//" + ) + parser.add_argument("--mode", default="local", choices=["local", "docker"]) + parser.add_argument("--limit", type=int, default=None, help="stop after N tasks") + args = parser.parse_args() + + env = HarborEnvironment(tasks=args.tasks, mode=args.mode) + task_ids = env.catalog.task_ids()[: args.limit] + if not task_ids: + print(f"no Harbor tasks found under {env.catalog.root}", file=sys.stderr) + return 1 + + print( + f"validating {len(task_ids)} task(s) from {env.catalog.root} in {args.mode} mode\n" + ) + outcomes = [] + try: + for task_id in task_ids: + outcome = validate(env, task_id) + outcomes.append(outcome) + print(outcome) + finally: + env.close() + + failed = [o for o in outcomes if not o.ok] + print( + f"\n{len(outcomes) - len(failed)}/{len(outcomes)} tasks solvable by their own oracle" + ) + return 1 if failed else 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/envs/harbor_env/models.py b/envs/harbor_env/models.py new file mode 100644 index 000000000..5720758db --- /dev/null +++ b/envs/harbor_env/models.py @@ -0,0 +1,149 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Wire types for the Harbor environment. + +Shared by the client and the server; neither side imports the other. +""" + +from typing import Any, Literal + +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 +#: `solve` runs the task's own reference solution; neither is part of the agent's +#: action space, mirroring OpenEnv's rule that simulation control stays on the +#: infrastructure side of the boundary. +ControlActionType = Literal["evaluate", "solve"] + +HarborActionType = Literal["exec", "read", "write", "evaluate", "solve"] + +AGENT_ACTIONS: frozenset[str] = frozenset({"exec", "read", "write"}) +CONTROL_ACTIONS: frozenset[str] = frozenset({"evaluate", "solve"}) + + +class HarborAction(Action): + """One interaction with a Harbor task sandbox. + + Args: + action_type (`str`, *optional*, defaults to `"exec"`): + One of `"exec"`, `"read"`, `"write"` (agent actions), or + `"evaluate"`, `"solve"` (orchestration actions). + command (`str`, *optional*): + Shell command, for `action_type="exec"`. + path (`str`, *optional*): + Path relative to the working directory, for `"read"` and `"write"`. + content (`str`, *optional*): + File contents, for `"write"`. + timeout_s (`float`, *optional*): + Overrides the default command timeout. Ignored by `"evaluate"` and + `"solve"`, which use the timeouts declared in `task.toml`. + + Examples: + + ```python + HarborAction(action_type="exec", command="pytest -q") + HarborAction(action_type="write", path="calc.py", content="def add(a, b):\\n return a + b\\n") + HarborAction(action_type="evaluate") + ``` + """ + + action_type: HarborActionType = 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 HarborObservation(Observation): + """What the sandbox reported back. + + Args: + instruction (`str`): + The task's `instruction.md`, repeated on every step so a stateless + policy can always see the goal. + output (`str`): + Merged stdout/stderr of the command, file contents for `"read"`, or a + short confirmation for `"write"`. + action_type (`str`): + The action this observation answers, or `"reset"`. + success (`bool`): + Whether the action itself completed. Unrelated to the reward: a + failing test command is a successful `exec`. + error (`str`): + Why the action failed, when it did. + exit_code (`int`, *optional*): + Exit status, for actions that ran a command. + timed_out (`bool`): + Whether the command was killed by its timeout. + task_id (`str`): + Identifier of the running task. + task_name (`str`): + The task's `[task].name`, conventionally `/`. + workdir (`str`): + Working directory inside the sandbox; `path` is relative to it. + mode (`str`): + Sandbox backend in use, `"local"` or `"docker"`. + info (`dict`): + 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="") + workdir: str = Field(default="") + mode: str = Field(default="") + info: dict[str, Any] = Field(default_factory=dict) + + +class HarborState(State): + """Server-side episode state, for training orchestration. + + Args: + task_id (`str`): + Identifier of the running task, empty before the first `reset()`. + task_name (`str`): + The task's `[task].name`. + task_path (`str`): + Task directory on the server. + workdir (`str`): + Working directory inside the sandbox. + mode (`str`): + Sandbox backend in use. + available_tasks (`list[str]`): + Task identifiers discovered in the catalog, truncated for large + catalogs — see `task_count` for the true total. + task_count (`int`): + Number of tasks in the catalog. + last_action_type (`str`): + The most recent action. + last_exit_code (`int`, *optional*): + Exit status of the most recent command. + evaluated (`bool`): + Whether the verifier has run; the episode ends when it has. + reward (`float`, *optional*): + Reward reported by the verifier, once it has run. + """ + + task_id: str = Field(default="") + task_name: str = Field(default="") + task_path: str = Field(default="") + workdir: str = Field(default="") + mode: 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/envs/harbor_env/openenv.yaml b/envs/harbor_env/openenv.yaml new file mode 100644 index 000000000..5f90cb085 --- /dev/null +++ b/envs/harbor_env/openenv.yaml @@ -0,0 +1,10 @@ +spec_version: 1 +name: harbor_env +version: "0.1.0" +description: "Run Harbor task directories — including everything Repo2RLEnv emits — as an OpenEnv environment" +type: space +runtime: fastapi +app: server.app:app +port: 8000 +action: HarborAction +observation: HarborObservation diff --git a/envs/harbor_env/pyproject.toml b/envs/harbor_env/pyproject.toml new file mode 100644 index 000000000..64353ceb7 --- /dev/null +++ b/envs/harbor_env/pyproject.toml @@ -0,0 +1,41 @@ +# SPDX-License-Identifier: BSD-3-Clause + +[build-system] +requires = ["setuptools>=45", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "openenv-harbor_env" +version = "0.1.0" +description = "Run Harbor task directories as an OpenEnv environment" +requires-python = ">=3.10" +dependencies = [ + # OpenEnv runtime: FastAPI server + WebSocket client types + "openenv>=0.2.3", + # Loading task sets straight from a Hugging Face dataset + "huggingface_hub>=0.20.0", + # Docker execution mode — the faithful backend for image-backed tasks + "docker>=7.1.0", + # tomllib is stdlib from 3.11 + "tomli>=2.0.0; python_version < '3.11'", +] + +[project.optional-dependencies] +dev = [ + "pytest>=9.0.0", + "pytest-cov>=7.0.0", +] + +[project.scripts] +# Server entry point - enables running via: uv run --project . server +# or: python -m harbor_env.server.app +server = "harbor_env.server.app:main" + +[tool.setuptools] +include-package-data = true +packages = ["harbor_env", "harbor_env.server"] +package-dir = { "harbor_env" = ".", "harbor_env.server" = "server" } + +[tool.setuptools.package-data] +# Ship the bundled example tasks so a fresh install has something to run. +"harbor_env" = ["examples/tasks/**/*"] diff --git a/envs/harbor_env/server/Dockerfile b/envs/harbor_env/server/Dockerfile new file mode 100644 index 000000000..c78096d9d --- /dev/null +++ b/envs/harbor_env/server/Dockerfile @@ -0,0 +1,70 @@ +# SPDX-License-Identifier: BSD-3-Clause + +# Multi-stage build using openenv-base. +# Works for both in-repo builds (local OpenEnv sources) and standalone builds +# (openenv from PyPI); `openenv build` sets BUILD_MODE accordingly. + +ARG BASE_IMAGE=ghcr.io/huggingface/openenv-base:latest +FROM ${BASE_IMAGE} AS builder + +WORKDIR /app + +# git is needed to install dependencies from VCS refs; curl bootstraps uv when +# the base image does not already carry it. +RUN apt-get update && \ + apt-get install -y --no-install-recommends ca-certificates curl git && \ + rm -rf /var/lib/apt/lists/* + +ARG BUILD_MODE=in-repo +ARG ENV_NAME=harbor_env + +COPY . /app/env +WORKDIR /app/env + +# uv may be absent from locally built base images. +RUN if ! command -v uv >/dev/null 2>&1; then \ + curl -LsSf https://astral.sh/uv/install.sh | sh && \ + mv /root/.local/bin/uv /usr/local/bin/uv && \ + mv /root/.local/bin/uvx /usr/local/bin/uvx; \ + fi + +RUN --mount=type=cache,target=/root/.cache/uv \ + if [ -f uv.lock ]; then \ + uv sync --frozen --no-install-project --no-editable; \ + else \ + uv sync --no-install-project --no-editable; \ + fi + +RUN --mount=type=cache,target=/root/.cache/uv \ + if [ -f uv.lock ]; then \ + uv sync --frozen --no-editable; \ + else \ + uv sync --no-editable; \ + fi + +# Final runtime stage +FROM ${BASE_IMAGE} + +WORKDIR /app + +# Harbor verifiers commonly shell out to git, bash and coreutils; `timeout` +# bounds commands in the local backend's subprocesses, and curl backs HEALTHCHECK. +RUN apt-get update && \ + apt-get install -y --no-install-recommends bash coreutils curl git && \ + rm -rf /var/lib/apt/lists/* + +COPY --from=builder /app/env/.venv /app/.venv +COPY --from=builder /app/env /app/env + +ENV PATH="/app/.venv/bin:$PATH" +ENV PYTHONPATH="/app/env:${PYTHONPATH:-}" +ENV ENABLE_WEB_INTERFACE=true + +# Point at your own task set with `-e HARBOR_TASKS_DIR=...`; the default serves +# the bundled example task so the image is useful out of the box. +ENV HARBOR_MODE=local + +HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ + CMD curl -f http://localhost:8000/health || exit 1 + +CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 8000"] diff --git a/envs/harbor_env/server/__init__.py b/envs/harbor_env/server/__init__.py new file mode 100644 index 000000000..3d3c1d288 --- /dev/null +++ b/envs/harbor_env/server/__init__.py @@ -0,0 +1,34 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Server-side components of the Harbor environment.""" + +from .harbor_env_environment import HarborEnvironment +from .reward import read_reward, RewardReport +from .sandbox import ( + create_sandbox, + DockerSandbox, + ExecResult, + LocalSandbox, + Sandbox, + SandboxError, + SandboxPaths, +) +from .task import HarborTask, resolve_task_source, TaskCatalog, TaskFormatError + + +__all__ = [ + "DockerSandbox", + "ExecResult", + "HarborEnvironment", + "HarborTask", + "LocalSandbox", + "RewardReport", + "Sandbox", + "SandboxError", + "SandboxPaths", + "TaskCatalog", + "TaskFormatError", + "create_sandbox", + "read_reward", + "resolve_task_source", +] diff --git a/envs/harbor_env/server/app.py b/envs/harbor_env/server/app.py new file mode 100644 index 000000000..1d9906d0b --- /dev/null +++ b/envs/harbor_env/server/app.py @@ -0,0 +1,79 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""FastAPI application for the Harbor environment. + +Run it directly: + +```bash +HARBOR_TASKS_DIR=./tasks uv run --project envs/harbor_env server +``` + +or through the image built from `server/Dockerfile`. + +Configuration (all optional): + +| Variable | Default | Meaning | +| ------------------------- | ------------------ | ---------------------------------------------------------- | +| `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//` | +| `HARBOR_MODE` | `local` | Sandbox backend: `local` or `docker` | +| `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none | +| `HARBOR_COMMAND_TIMEOUT_S`| `120` | Timeout for agent `exec` actions | +| `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode | +| `MAX_CONCURRENT_ENVS` | `8` | Concurrent WebSocket sessions | +""" + +import os + + +try: + # In-repo imports (when running from OpenEnv repository) + from harbor_env.models import HarborAction, HarborObservation + from openenv.core.env_server.http_server import create_app + + from .harbor_env_environment import DEFAULT_COMMAND_TIMEOUT_S, HarborEnvironment +except ImportError: + # Standalone imports (when environment is standalone with openenv from pip) + from models import HarborAction, HarborObservation + from openenv.core.env_server.http_server import create_app + from server.harbor_env_environment import ( + DEFAULT_COMMAND_TIMEOUT_S, + HarborEnvironment, + ) + + +_MODE = (os.getenv("HARBOR_MODE") or "local").lower() + + +def _build_environment() -> HarborEnvironment: + """Factory called once per session by the server.""" + return HarborEnvironment( + command_timeout_s=float( + os.getenv("HARBOR_COMMAND_TIMEOUT_S", DEFAULT_COMMAND_TIMEOUT_S) + ), + ) + + +app = create_app( + _build_environment, + HarborAction, + HarborObservation, + env_name=f"harbor_env ({_MODE} mode)", + max_concurrent_envs=int(os.getenv("MAX_CONCURRENT_ENVS", "8")), +) + + +def main(host: str = "0.0.0.0", port: int = 8000) -> None: + """Entry point for `uv run --project envs/harbor_env server`.""" + import uvicorn + + uvicorn.run(app, host=host, port=port) + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser(description=__doc__) + 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/envs/harbor_env/server/harbor_env_environment.py b/envs/harbor_env/server/harbor_env_environment.py new file mode 100644 index 000000000..6ad6ca14d --- /dev/null +++ b/envs/harbor_env/server/harbor_env_environment.py @@ -0,0 +1,393 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""The Harbor environment server. + +Serves a directory of [Harbor](https://www.harborframework.com/docs/tasks) task +directories as a Gymnasium-style OpenEnv environment. The task directory is the +interface: the very same directory runs under `harbor run`, so a task set built +with [Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) needs no conversion +to be trained against here. + +This module is deliberately thin. It resolves which task to run +(`task.TaskCatalog`), asks a backend to execute things (`sandbox.Sandbox`), and +forwards the verifier's verdict (`reward.RewardReport`). It never computes a +reward itself. +""" + +from __future__ import annotations + +import logging +import os +from typing import Any, Callable +from uuid import uuid4 + +from openenv.core.env_server.interfaces import Environment + + +# Support both in-repo and standalone imports +try: + # In-repo imports (when running from OpenEnv repository) + from harbor_env.models import HarborAction, HarborObservation, HarborState + from harbor_env.server.sandbox import ( + create_sandbox, + ExecResult, + resolve_within, + Sandbox, + SandboxError, + ) + from harbor_env.server.task import HarborTask, resolve_task_source, TaskCatalog +except ImportError: + # Standalone imports (when environment is standalone with openenv from pip) + from models import HarborAction, HarborObservation, HarborState + from sandbox import ( + create_sandbox, + ExecResult, + resolve_within, + Sandbox, + SandboxError, + ) + from task import HarborTask, resolve_task_source, TaskCatalog + + +logger = logging.getLogger(__name__) + +DEFAULT_COMMAND_TIMEOUT_S = 120.0 + +#: Upper bound on how many task ids [`HarborState.available_tasks`] carries, so +#: a catalog with thousands of tasks does not bloat every state response. +MAX_LISTED_TASKS = 200 + +_ActionHandler = Callable[[HarborAction, Sandbox, HarborTask], HarborObservation] + + +class HarborEnvironment(Environment[HarborAction, HarborObservation, HarborState]): + """Runs Harbor task directories as an OpenEnv environment. + + Each `reset()` starts a fresh sandbox for one task; the agent then works + through `exec` / `read` / `write` actions, and the training loop ends the + episode with `evaluate`, which runs the task's own `tests/test.sh` and + forwards whatever reward it wrote. + + Args: + tasks (`str`, *optional*): + Where tasks live: a local directory, or a Hugging Face dataset + reference such as `hf://datasets//`. Defaults to + `$HARBOR_TASKS_DIR`, then to the bundled example tasks. + mode (`str`, *optional*): + Sandbox backend, `"local"` or `"docker"`. Defaults to `$HARBOR_MODE`, + then `"local"`. + default_task_id (`str`, *optional*): + Task used when `reset()` is called without one. Defaults to + `$HARBOR_DEFAULT_TASK_ID`. + command_timeout_s (`float`, *optional*, defaults to `120.0`): + Timeout applied to agent `exec` actions. The verifier and the oracle + instead use the timeouts declared in `task.toml`. + sandbox_factory (`Callable[[str], Sandbox]`, *optional*): + Builds the sandbox for a mode. Injected by tests; defaults to + `sandbox.create_sandbox`. + + Examples: + + ```python + env = HarborEnvironment(tasks="./tasks", mode="docker") + obs = env.reset(task_id="pallets__click-2951") + env.step(HarborAction(action_type="write", path="src/click/core.py", content=fixed)) + result = env.step(HarborAction(action_type="evaluate")) + result.reward # whatever tests/test.sh wrote to /logs/verifier + ``` + """ + + # Every episode gets its own sandbox and its own working directory, so + # sessions never share mutable state. + SUPPORTS_CONCURRENT_SESSIONS: bool = True + + def __init__( + self, + tasks: str | None = None, + mode: str | None = None, + default_task_id: str | None = None, + command_timeout_s: float = DEFAULT_COMMAND_TIMEOUT_S, + sandbox_factory: Callable[[str], Sandbox] | None = None, + ) -> None: + super().__init__() + self.mode = (mode or os.getenv("HARBOR_MODE") or "local").lower() + self.command_timeout_s = command_timeout_s + self.default_task_id = ( + default_task_id or os.getenv("HARBOR_DEFAULT_TASK_ID") or None + ) + self._sandbox_factory = sandbox_factory or self._default_sandbox_factory + self.catalog = TaskCatalog( + resolve_task_source(tasks or os.getenv("HARBOR_TASKS_DIR")) + ) + + self._task: HarborTask | None = None + self._sandbox: Sandbox | None = None + self._state = HarborState(mode=self.mode) + self._refresh_catalog_state() + + self._handlers: dict[str, _ActionHandler] = { + "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, + ) -> HarborObservation: + """Start a fresh episode on one task. + + Args: + seed (`int`, *optional*): + Unused; Harbor tasks are deterministic by construction. + episode_id (`str`, *optional*): + Identifier recorded in the state. + task_id (`str`, *optional*): + Which task to run. Defaults to `default_task_id`, or to the only + task in the catalog when there is exactly one. + + Returns: + [`HarborObservation`] carrying the task's instruction. + """ + del seed + + self.close() + task = self.catalog.get(self._select_task_id(kwargs.get("task_id"))) + sandbox = self._sandbox_factory(self.mode) + try: + sandbox.start(task) + except Exception: + sandbox.close() + raise + + self._task = task + self._sandbox = sandbox + self._state = HarborState( + episode_id=episode_id or str(uuid4()), + task_id=task.task_id, + task_name=task.name, + task_path=str(task.path), + workdir=sandbox.paths.workdir, + mode=sandbox.mode, + ) + self._refresh_catalog_state() + + return self._observe( + action_type="reset", + output="", + info={"task": task.summary(), "paths": sandbox.paths.as_env()}, + ) + + def step( + self, + action: HarborAction, + timeout_s: float | None = None, + **kwargs: Any, + ) -> HarborObservation: + """Apply one action to the running episode.""" + del timeout_s, kwargs + + if not isinstance(action, HarborAction): + raise TypeError(f"expected HarborAction, got {type(action).__name__}") + + self._state.step_count += 1 + self._state.last_action_type = action.action_type + + try: + sandbox, task = self._require_episode() + return self._handlers[action.action_type](action, sandbox, task) + except Exception as exc: + # Invalid actions and sandbox failures end up 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_type=action.action_type, + output="", + success=False, + error=str(exc), + ) + + @property + def state(self) -> HarborState: + """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: HarborAction, sandbox: Sandbox, task: HarborTask + ) -> HarborObservation: + del task + if not action.command.strip(): + raise ValueError("exec requires a non-empty command") + result = sandbox.exec( + action.command, + timeout_s=action.timeout_s or self.command_timeout_s, + env=sandbox.task_env, + ) + return self._from_exec("exec", result) + + def _do_read( + self, action: HarborAction, sandbox: Sandbox, task: HarborTask + ) -> HarborObservation: + del task + target = resolve_within(sandbox.paths.workdir, action.path) + content = sandbox.read_text(target) + if content is None: + raise FileNotFoundError(f"no such file: {action.path}") + return self._observe("read", output=content) + + def _do_write( + self, action: HarborAction, sandbox: Sandbox, task: HarborTask + ) -> HarborObservation: + del task + target = resolve_within(sandbox.paths.workdir, action.path) + sandbox.write_text(target, action.content) + return self._observe( + "write", output=f"wrote {len(action.content)} bytes to {action.path}" + ) + + def _do_evaluate( + self, action: HarborAction, sandbox: Sandbox, task: HarborTask + ) -> HarborObservation: + """Run the task's verifier and forward its reward. Ends the episode.""" + del action + result = sandbox.run_verifier(task) + report = sandbox.reward_report() + + self._state.evaluated = True + 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 instead of + # inventing a number that would be indistinguishable from a real 0.0. + error = ( + "the verifier wrote no reward file to " + f"{sandbox.paths.logs_verifier}; the episode cannot be scored" + ) + hint = sandbox.explain_missing_reward(task) + if hint: + error = f"{error}. {hint}" + return self._observe( + "evaluate", + output=result.output, + success=False, + error=error, + 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: HarborAction, sandbox: Sandbox, task: HarborTask + ) -> HarborObservation: + """Apply the task's reference solution — Harbor's oracle agent. + + Orchestration-only: it validates that a task is solvable and produces gold + trajectories. Follow it with `evaluate`, which should return the task's + maximum reward. + """ + del action + result = sandbox.run_solution(task) + return self._from_exec("solve", result) + + # --- observation plumbing ----------------------------------------------- + + def _from_exec(self, action_type: str, result: ExecResult) -> HarborObservation: + self._state.last_exit_code = result.exit_code + error = "" + if result.timed_out: + error = "command timed out" + return self._observe( + action_type, + output=result.output, + success=result.ok, + error=error, + 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, + ) -> HarborObservation: + return HarborObservation( + 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, + workdir=self._state.workdir, + mode=self._state.mode, + info=info or {}, + reward=reward, + done=done, + ) + + # --- helpers ------------------------------------------------------------ + + def _default_sandbox_factory(self, mode: str) -> Sandbox: + if mode == "docker": + image = os.getenv("HARBOR_DEFAULT_IMAGE") + return create_sandbox(mode, **({"default_image": image} if image else {})) + return create_sandbox(mode) + + 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.catalog.task_ids() + if len(available) == 1: + return available[0] + raise ValueError( + "reset() needs a task_id: the catalog at " + f"{self.catalog.root} holds {len(available)} tasks. " + f"Available: {available[:10]}{' ...' if len(available) > 10 else ''}" + ) + + def _require_episode(self) -> tuple[Sandbox, HarborTask]: + 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_catalog_state(self) -> None: + task_ids = self.catalog.task_ids() + self._state.task_count = len(task_ids) + self._state.available_tasks = task_ids[:MAX_LISTED_TASKS] diff --git a/envs/harbor_env/server/reward.py b/envs/harbor_env/server/reward.py new file mode 100644 index 000000000..45415caa4 --- /dev/null +++ b/envs/harbor_env/server/reward.py @@ -0,0 +1,189 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Harbor's reward-file contract. + +A Harbor verifier communicates its verdict by writing files into +`/logs/verifier/`, never through its exit code: + +| File | Format | +| ------------- | ------------------------------------------ | +| `reward.json` | flat JSON map of metric name -> int/float | +| `reward.txt` | a single int/float | + +Harbor reads `reward.json` first and falls back to `reward.txt`; this module +implements exactly that precedence. + +The reward is *produced inside the environment* and only forwarded from here — +consistent with OpenEnv's "rewards in environment" invariant. When a verifier +writes no reward file, [`RewardReport.value`] is `None`. We deliberately do not +invent a reward from the exit code: a silently fabricated `0.0` is +indistinguishable from a genuine failure and would poison training data. +""" + +from __future__ import annotations + +import json +from dataclasses import dataclass, field +from typing import Any, Callable + + +#: Reads a file name inside `/logs/verifier/`, returning `None` when it is absent. +#: Taking a reader rather than a path keeps this logic identical for a local +#: directory and for files inside a container. +LogReader = Callable[[str], "str | None"] + +REWARD_JSON = "reward.json" +REWARD_TXT = "reward.txt" + +#: Non-standard sidecar written by Repo2RLEnv verifiers. Harbor requires +#: `reward.json` to be flat and numeric, so the nested component breakdown +#: (f2p/p2p counts, diff-similarity components, judge status) lives here. It is +#: surfaced for analysis but is never the source of the scalar reward. +REWARD_DETAILS_JSON = "reward-details.json" + +#: Key treated as the scalar reward when `reward.json` carries several metrics. +PRIMARY_METRIC = "reward" + + +@dataclass(frozen=True) +class RewardReport: + """The verdict recovered from a verifier's `/logs/verifier/` output. + + Args: + value (`float`, *optional*): + The scalar reward, or `None` when the verifier wrote no reward file. + source (`str`): + Which artifact the scalar came from: `"reward.json"`, `"reward.txt"`, + or `"missing"`. + metrics (`dict[str, float]`): + Every numeric metric from `reward.json`. + details (`dict[str, Any]`): + Parsed `reward-details.json` sidecar, when present. + errors (`list[str]`): + 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. + + Args: + read_text ([`LogReader`]): + Reads a file name inside `/logs/verifier/`, returning `None` when it + does not exist. + + Returns: + [`RewardReport`] + + Examples: + + ```python + report = read_reward(lambda name: (logs_dir / name).read_text() if (logs_dir / name).exists() else None) + report.value # 0.833333 + report.source # 'reward.json' + ``` + """ + 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]: + """Parse `reward.json` into metrics plus, if unambiguous, a scalar.""" + 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; Harbor's schema 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 one: fall through to reward.txt + # rather than picking 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/envs/harbor_env/server/sandbox.py b/envs/harbor_env/server/sandbox.py new file mode 100644 index 000000000..6b4dfa3c3 --- /dev/null +++ b/envs/harbor_env/server/sandbox.py @@ -0,0 +1,671 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Execution backends that implement Harbor's sandbox contract. + +Harbor tasks are written against a fixed filesystem layout inside the sandbox: + +| Path | Contents | +| ----------------- | ------------------------------------------------------- | +| working directory | what the agent edits (the image's `WORKDIR`) | +| `/tests` | the task's `tests/`, staged by the harness before verify | +| `/solution` | the task's `solution/`, staged only for the oracle | +| `/logs/verifier` | where the verifier writes `reward.json` / `reward.txt` | +| `/logs/agent` | scratch space for agent logs | + +[`Sandbox`] encodes that layout and the episode phases once; subclasses only +provide five primitives (boot, exec, read, write, upload). Two backends ship: + +- [`DockerSandbox`] — runs inside the task's own image. This is the faithful + backend and the only one that can run tasks whose starting state lives in an + image (everything `repo2rlenv` emits with an `environment/Dockerfile`). +- [`LocalSandbox`] — runs as subprocesses under a per-episode root directory. + No Docker, so it works on Hugging Face Spaces, and it is exact for + *self-contained* tasks that ship their starting state as `environment/` seed + files. +""" + +from __future__ import annotations + +import io +import logging +import os +import posixpath +import re +import shutil +import subprocess +import tarfile +import tempfile +from abc import ABC, abstractmethod +from dataclasses import dataclass +from pathlib import Path + + +try: # In-repo import (PYTHONPATH=src:envs) + from harbor_env.server.reward import read_reward, RewardReport + from harbor_env.server.task import HarborTask +except ImportError: # Standalone image layout + from reward import read_reward, RewardReport + from task import HarborTask + + +logger = logging.getLogger(__name__) + +#: Exit code convention for a command killed by its timeout (GNU `timeout`). +TIMEOUT_EXIT_CODE = 124 + +#: Harbor's absolute paths, matched to detect task scripts that hardcode them +#: while the local sandbox is not rooted at `/`. `/workspace` is included +#: because it is the working directory every `repo2rlenv` image declares. +_ABSOLUTE_HARBOR_PATHS = re.compile( + r"(? bool: + """Whether the command exited successfully.""" + return self.exit_code == 0 and not self.timed_out + + +@dataclass(frozen=True) +class SandboxPaths: + """Harbor's special paths, resolved for a concrete sandbox.""" + + workdir: str + 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) -> dict[str, str]: + """Path layout as environment variables. + + Portable task scripts should prefer these over hardcoded absolute paths + so the same `tests/test.sh` runs under `harbor run` and under + [`LocalSandbox`]; `TEST_DIR` is included for Terminal-Bench lineage + scripts that expect it. + """ + return { + "HARBOR_WORKDIR": self.workdir, + "HARBOR_TESTS_DIR": self.tests, + "HARBOR_SOLUTION_DIR": self.solution, + "HARBOR_LOGS_DIR": self.logs_verifier, + "HARBOR_AGENT_LOGS_DIR": self.logs_agent, + "TEST_DIR": self.tests, + } + + +class Sandbox(ABC): + """Harbor's sandbox contract, independent of how commands are executed. + + Subclasses implement [`_boot`], [`exec`], [`read_text`], [`write_text`] and + [`upload_dir`]; everything else — the path layout and the episode phases — + is shared. + """ + + paths: SandboxPaths + + #: Human-readable backend name, surfaced in observations. + mode: str = "unknown" + + #: Episode-wide variables from `[environment].env`, resolved by [`start`]. + task_env: dict[str, str] + + # --- backend primitives ------------------------------------------------- + + @abstractmethod + def _boot(self, task: HarborTask) -> SandboxPaths: + """Bring the backend up for `task` and return its resolved paths.""" + + @abstractmethod + def exec( + self, + command: str, + *, + timeout_s: float, + env: dict[str, str] | None = None, + workdir: str | None = None, + ) -> ExecResult: + """Run `command` through `bash` and return its merged output.""" + + @abstractmethod + def read_text(self, path: str) -> str | None: + """Read a text file, returning `None` when it does not exist.""" + + @abstractmethod + def write_text(self, path: str, content: str) -> None: + """Write a text file, creating parent directories as needed.""" + + @abstractmethod + def upload_dir(self, source: Path, destination: str) -> None: + """Copy a host directory into the sandbox at `destination`.""" + + @abstractmethod + def close(self) -> None: + """Release every resource held by the sandbox.""" + + # --- episode phases ----------------------------------------------------- + + def start(self, task: HarborTask) -> None: + """Boot the backend and lay out Harbor's directories. + + Seeds the working directory from the task's `environment/` files when + the task ships them. `tests/` and `solution/` are deliberately *not* + staged here — see [`stage_tests`] and [`stage_solution`]. + """ + self.task_env = expand_env_refs(task.environment_env) + self.paths = self._boot(task) + self.mkdirs(self.paths.workdir, self.paths.logs_verifier, self.paths.logs_agent) + if task.seed_files: + self.upload_dir(task.environment_dir, self.paths.workdir) + + def stage_tests(self, task: HarborTask) -> None: + """Copy `tests/` to `/tests`, as Harbor's harness does before verifying. + + Staging happens at verification time rather than at reset so the agent + never sees the verifier while it is working. + """ + if task.tests_dir.is_dir(): + self.upload_dir(task.tests_dir, self.paths.tests) + + def stage_solution(self, task: HarborTask) -> None: + """Copy `solution/` to `/solution`, as Harbor's oracle agent does.""" + if task.solution_dir.is_dir(): + self.upload_dir(task.solution_dir, self.paths.solution) + + def run_verifier(self, task: HarborTask) -> ExecResult: + """Stage `tests/` and run `tests/test.sh`. + + Raises: + [`SandboxError`]: If the task ships no `tests/test.sh`. + """ + 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 sandbox and could otherwise plant a + # reward file that survives 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.stage_tests(task) + script = posixpath.join(self.paths.tests, task.test_script.name) + return self.exec( + f"bash {_quote(script)}", + timeout_s=task.verifier_timeout_s, + env={**self.task_env, **expand_env_refs(task.verifier_env)}, + ) + + def run_solution(self, task: HarborTask) -> ExecResult: + """Stage `solution/` and run `solution/solve.sh` (Harbor's oracle agent). + + Raises: + [`SandboxError`]: If the task ships no `solution/solve.sh`. + """ + 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.stage_solution(task) + script = posixpath.join(self.paths.solution, task.solve_script.name) + return self.exec( + f"bash {_quote(script)}", + timeout_s=task.agent_timeout_s, + env=self.task_env, + ) + + 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)) + ) + + def explain_missing_reward(self, task: HarborTask) -> str | None: + """Backend-specific hint for why a verifier produced no reward file.""" + del task + return None + + def mkdirs(self, *paths: str) -> None: + """Create directories inside the sandbox. + + 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(path) for path in paths) + 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()}" + ) + + +class LocalSandbox(Sandbox): + """Runs a task as subprocesses under a per-episode root directory. + + Every Harbor path is materialized under `root` (`/workspace`, + `/tests`, `/logs/verifier`, ...) and exported through the + `HARBOR_*` variables from [`SandboxPaths.as_env`]. That keeps concurrent + episodes isolated and needs no privileges, at the cost of not being able to + serve scripts that hardcode Harbor's absolute paths. Such a script writes + its reward outside the episode, which surfaces as an unscorable episode + rather than a wrong score — [`explain_missing_reward`] then names the + offending path. + + Note that this backend is a *filesystem* boundary, not a *security* one: + `exec` runs shell commands as the server's own user, with the server's own + environment, so a task or a policy can read whatever that user can and can + reach the network. Serve task sets you trust here, and use [`DockerSandbox`] + for anything else. + + Args: + root (`str` or `os.PathLike`, *optional*): + Directory to root the episode in. Defaults to a fresh temporary + directory that is removed on [`close`]. + """ + + mode = "local" + + def __init__(self, root: str | os.PathLike[str] | None = None) -> None: + self._owns_root = root is None + self._root = ( + Path(root).expanduser().resolve() + if root + else Path(tempfile.mkdtemp(prefix="harbor-episode-")) + ) + self.paths = SandboxPaths(workdir=str(self._root / "workspace")) + self.task_env = {} + + @property + def root(self) -> Path: + """The episode's root directory on the host.""" + return self._root + + def _boot(self, task: HarborTask) -> SandboxPaths: + if task.needs_image: + raise SandboxError( + f"task {task.task_id!r} keeps its starting state in a container image " + f"({_image_source(task)}), which the local backend cannot reproduce. " + "Run the server with HARBOR_MODE=docker, or use a task that ships its " + "files in environment/." + ) + self._root.mkdir(parents=True, exist_ok=True) + return SandboxPaths( + workdir=str(self._root / "workspace"), + tests=str(self._root / "tests"), + solution=str(self._root / "solution"), + logs=str(self._root / "logs"), + ) + + def exec( + self, + command: str, + *, + timeout_s: float, + env: dict[str, str] | None = None, + workdir: str | None = None, + ) -> ExecResult: + cwd = Path(workdir or self.paths.workdir) + cwd.mkdir(parents=True, exist_ok=True) + process_env = dict(os.environ) + process_env.update(self.paths.as_env()) + process_env.update(env or {}) + # Keep the task's tree free of interpreter droppings. + process_env.setdefault("PYTHONDONTWRITEBYTECODE", "1") + try: + completed = subprocess.run( + ["bash", "-c", command], + cwd=cwd, + env=process_env, + capture_output=True, + text=True, + timeout=timeout_s, + ) + except subprocess.TimeoutExpired as exc: + return ExecResult( + exit_code=TIMEOUT_EXIT_CODE, + output=_decode(exc.stdout) + _decode(exc.stderr), + timed_out=True, + ) + return ExecResult(completed.returncode, completed.stdout + completed.stderr) + + def read_text(self, path: str) -> str | None: + target = Path(path) + if not target.is_file(): + return None + return target.read_text(encoding="utf-8", errors="replace") + + def write_text(self, path: str, content: str) -> None: + target = Path(path) + target.parent.mkdir(parents=True, exist_ok=True) + target.write_text(content, encoding="utf-8") + + def upload_dir(self, source: Path, destination: str) -> None: + target = Path(destination) + target.mkdir(parents=True, exist_ok=True) + shutil.copytree(source, target, dirs_exist_ok=True) + + def close(self) -> None: + if self._owns_root: + shutil.rmtree(self._root, ignore_errors=True) + + def explain_missing_reward(self, task: HarborTask) -> str | None: + """Point at hardcoded absolute paths, the usual cause in local mode. + + A verifier that writes to `/logs/verifier` instead of `$HARBOR_LOGS_DIR` + lands outside this episode's root — or fails outright without root + privileges — and its reward never reaches us. + """ + if self.paths.logs.startswith("/logs"): + return None # Rooted at /, so absolute paths resolve correctly. + if task.test_script is None: + return None + text = task.test_script.read_text(encoding="utf-8", errors="replace") + match = _ABSOLUTE_HARBOR_PATHS.search(text) + if match is None: + return None + return ( + f"{task.test_script.name} references {match.group(0)!r}, an absolute path " + f"that only exists inside a container. Run the server with HARBOR_MODE=docker, " + f"or have the script write to $HARBOR_LOGS_DIR so it stays portable across " + f"both backends." + ) + + +class DockerSandbox(Sandbox): + """Runs a task inside its own container image — Harbor's native backend. + + The image comes from `[environment].docker_image` when set, otherwise it is + built from `environment/Dockerfile`; tasks that ship only `environment/` seed + files run on `default_image`. Files are streamed in over the Docker API + rather than bind-mounted, so the environment server can itself be + containerized. + + Args: + default_image (`str`, *optional*, defaults to `"python:3.12-slim"`): + Image used for tasks that declare no image of their own. + keep_container (`bool`, *optional*, defaults to `False`): + Leave the container in place after [`close`], for debugging. + """ + + mode = "docker" + + #: Used when the image declares no `WORKDIR`; matches Harbor's default. + DEFAULT_WORKDIR = "/app" + + def __init__( + self, + default_image: str = "python:3.12-slim", + keep_container: bool = False, + ) -> None: + self.paths = SandboxPaths(workdir=self.DEFAULT_WORKDIR) + self.task_env = {} + self.default_image = default_image + 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 + + def _boot(self, task: HarborTask) -> SandboxPaths: + client = self._connect() + self._image = self._resolve_image(task, client) + self._container = client.containers.run( + image=self._image, + command=["sleep", "infinity"], + detach=True, + environment=dict(self.task_env), + labels={"openenv.env": "harbor_env", "openenv.task": task.task_id}, + auto_remove=False, + ) + return SandboxPaths(workdir=self._image_workdir(client)) + + def exec( + self, + command: str, + *, + timeout_s: float, + env: dict[str, str] | None = None, + workdir: str | None = None, + ) -> ExecResult: + container = self._require_container() + process_env = dict(self.paths.as_env()) + process_env.update(env or {}) + wrapped = self._with_timeout(command, timeout_s) + exit_code, output = container.exec_run( + cmd=["bash", "-c", wrapped], + workdir=workdir or self.paths.workdir, + environment=process_env, + 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( + exit_code=status, + output=text, + timed_out=status == TIMEOUT_EXIT_CODE, + ) + + def read_text(self, path: str) -> str | None: + result = self.exec(f"cat {_quote(path)}", timeout_s=60.0) + return result.output if result.ok else None + + def write_text(self, path: str, content: str) -> None: + 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: + 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("*")): + archive.add(entry, arcname=entry.relative_to(source).as_posix()) + container.put_archive(destination, stream.getvalue()) + + def close(self) -> None: + 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 + + # --- docker helpers ----------------------------------------------------- + + def _connect(self): + if self._client is None: + try: + import docker + except ImportError as exc: + raise SandboxError( + "HARBOR_MODE=docker needs the `docker` package: pip install docker" + ) 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: HarborTask, client) -> str: + if task.docker_image: + return _ensure_pulled(client, task.docker_image) + + if task.dockerfile is not None: + tag = f"openenv-harbor/{_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, + timeout=task.build_timeout_s, + ) + return tag + + if task.compose_file is not None: + raise SandboxError( + f"task {task.task_id!r} uses environment/{task.compose_file.name}; " + "multi-container tasks are not supported yet — run it with `harbor run`" + ) + # Self-contained task: no image of its own, so run the seed files on the + # backend's default image. + return _ensure_pulled(client, self.default_image) + + def _image_workdir(self, client) -> str: + try: + config = client.images.get(self._image).attrs.get("Config", {}) + return str(config.get("WorkingDir") or self.DEFAULT_WORKDIR) + except Exception: # pragma: no cover - image metadata is best-effort + return self.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 create_sandbox(mode: str, **kwargs) -> Sandbox: + """Instantiate the sandbox backend named by `mode`. + + Args: + mode (`str`): + `"local"` or `"docker"`. + + Returns: + [`Sandbox`] + + Raises: + [`SandboxError`]: If `mode` is not a known backend. + """ + backends = {"local": LocalSandbox, "docker": DockerSandbox} + try: + backend = backends[mode.lower()] + except KeyError: + raise SandboxError( + f"unknown sandbox mode {mode!r}; expected one of {sorted(backends)}" + ) from None + return backend(**kwargs) + + +def resolve_within(base: str, relative: str) -> str: + """Resolve `relative` under `base`, rejecting anything that escapes it. + + Used for every agent-supplied path so the agent cannot read or write outside + its working directory — in particular, it cannot reach `/tests` or + `/solution`. + + Raises: + `ValueError`: If `relative` is absolute or escapes `base`. + """ + 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 not target.startswith(base_norm.rstrip("/") + "/"): + raise ValueError(f"path escapes the working directory: {relative!r}") + return target + + +def expand_env_refs(mapping: dict[str, str]) -> dict[str, str]: + """Resolve `${VAR}` / `$VAR` references in task-declared environment values. + + Harbor's `[environment].env` may reference variables supplied by the person + running the task (`env = { HF_TOKEN = "${HF_TOKEN}" }`). Unset references + expand to the empty string, so a missing secret never leaks the literal + `${HF_TOKEN}` into the sandbox. + """ + return { + key: _ENV_REFERENCE.sub( + lambda m: os.environ.get(m.group(1) or m.group(2), ""), value + ) + for key, value in mapping.items() + } + + +def _ensure_pulled(client, image: str) -> str: + try: + client.images.get(image) + except Exception: + logger.info("pulling %s", image) + client.images.pull(image) + return image + + +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" + + +def _image_source(task: HarborTask) -> str: + if task.docker_image: + return f"[environment].docker_image = {task.docker_image!r}" + if task.dockerfile is not None: + return "environment/Dockerfile" + return "environment/docker-compose.yaml" + + +def _decode(value: str | bytes | None) -> str: + if value is None: + return "" + return value if isinstance(value, str) else value.decode("utf-8", errors="replace") diff --git a/envs/harbor_env/server/task.py b/envs/harbor_env/server/task.py new file mode 100644 index 000000000..6e9e96d6e --- /dev/null +++ b/envs/harbor_env/server/task.py @@ -0,0 +1,463 @@ +# SPDX-License-Identifier: BSD-3-Clause + +"""Parsing and discovery for Harbor task directories. + +A Harbor task is a directory on disk. This module turns that directory into a +[`HarborTask`] value object and provides a [`TaskCatalog`] for discovering many +of them. Nothing here executes anything — see `sandbox.py` for that. + +The layout (https://www.harborframework.com/docs/tasks) is: + +```text +/ + task.toml # config + metadata (required) + instruction.md # the prompt shown to the agent + environment/ # how to build the sandbox + Dockerfile # ...or docker-compose.yaml, or seed files (see below) + tests/ # copied to /tests at verify time + test.sh # the verifier; writes /logs/verifier/reward.{json,txt} + solution/ # copied to /solution by the oracle agent + solve.sh +``` + +Two spellings of the schema field are accepted: Harbor writes `schema_version`, +while [Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) writes `version`. +""" + +from __future__ import annotations + +import logging +import os +import re +import sys +from dataclasses import dataclass, field +from functools import lru_cache +from pathlib import Path +from typing import Any, Iterator + + +if sys.version_info >= (3, 11): + import tomllib +else: # pragma: no cover - Python 3.10 fallback + import tomli as tomllib + + +logger = logging.getLogger(__name__) + +TASK_CONFIG_FILE = "task.toml" +INSTRUCTION_FILE = "instruction.md" +TEST_SCRIPT = "test.sh" +SOLVE_SCRIPT = "solve.sh" + +#: Files in `environment/` that describe *how to build* the sandbox rather than +#: what to seed it with. See "Environment" in the Harbor task docs. +_COMPOSE_FILES = ("docker-compose.yaml", "docker-compose.yml") +_DOCKERFILE = "Dockerfile" + +#: How deep [`TaskCatalog`] descends when looking for task directories. Enough +#: for a flat directory, the `tasks//` layout that `repo2rlenv push` writes +#: to the Hub, and one level of grouping on top of that. +_MAX_DISCOVERY_DEPTH = 4 + +DEFAULT_AGENT_TIMEOUT_S = 1800.0 +DEFAULT_VERIFIER_TIMEOUT_S = 300.0 +DEFAULT_BUILD_TIMEOUT_S = 1800.0 + +#: Hugging Face dataset reference, optionally scheme-qualified and pinned: +#: `hf://datasets//@` or just `/`. +_HUB_REFERENCE = re.compile( + r"^(?:hf://datasets/)?(?P[\w.-]+/[\w.-]+)(?:@(?P[\w./-]+))?$" +) + +#: Tasks shipped with this environment, used when no source is configured. +BUNDLED_TASKS_DIR = Path(__file__).resolve().parent.parent / "examples" / "tasks" + + +class TaskFormatError(ValueError): + """Raised when a directory is not a well-formed Harbor task.""" + + +@dataclass(frozen=True) +class HarborTask: + """An immutable view of one Harbor task directory. + + Args: + task_id (`str`): + Stable identifier used to select the task at `reset()`. It is the + task directory's path relative to the catalog root, so nested + layouts stay unambiguous. + path (`Path`): + Absolute path to the task directory. + name (`str`): + The `[task].name` field, conventionally `/`. + description (`str`): + The `[task].description` field. + instruction (`str`): + Contents of `instruction.md` — the prompt handed to the agent. + schema_version (`str`): + Declared task-format version (`schema_version` or `version`). + metadata (`dict[str, Any]`): + The free-form `[metadata]` table, verbatim. + docker_image (`str` or `None`): + Pre-built image from `[environment].docker_image`, if any. + environment_env (`dict[str, str]`): + `[environment].env` — variables exported for the whole episode. + verifier_env (`dict[str, str]`): + `[verifier].env` — variables exported only while verifying. + agent_timeout_s (`float`): + `[agent].timeout_sec`. + verifier_timeout_s (`float`): + `[verifier].timeout_sec`. + build_timeout_s (`float`): + `[environment].build_timeout_sec`. + os_name (`str`): + `[environment].os`. Only `"linux"` is supported here. + """ + + task_id: str + path: Path + name: str + description: str + instruction: str + schema_version: str + metadata: dict[str, Any] = field(default_factory=dict) + docker_image: str | None = None + environment_env: dict[str, str] = field(default_factory=dict) + verifier_env: dict[str, str] = field(default_factory=dict) + agent_timeout_s: float = DEFAULT_AGENT_TIMEOUT_S + verifier_timeout_s: float = DEFAULT_VERIFIER_TIMEOUT_S + build_timeout_s: float = DEFAULT_BUILD_TIMEOUT_S + os_name: str = "linux" + + # --- directory layout --------------------------------------------------- + + @property + def tests_dir(self) -> Path: + """The `tests/` directory, whether or not it exists.""" + return self.path / "tests" + + @property + def solution_dir(self) -> Path: + """The `solution/` directory, whether or not it exists.""" + return self.path / "solution" + + @property + def environment_dir(self) -> Path: + """The `environment/` directory, whether or not it exists.""" + return self.path / "environment" + + @property + def test_script(self) -> Path | None: + """`tests/test.sh`, or `None` when the task ships no verifier.""" + script = self.tests_dir / TEST_SCRIPT + return script if script.is_file() else None + + @property + def solve_script(self) -> Path | None: + """`solution/solve.sh`, or `None` when the task ships no oracle.""" + script = self.solution_dir / SOLVE_SCRIPT + return script if script.is_file() else None + + @property + def dockerfile(self) -> Path | None: + """`environment/Dockerfile`, or `None`.""" + candidate = self.environment_dir / _DOCKERFILE + return candidate if candidate.is_file() else None + + @property + def compose_file(self) -> Path | None: + """`environment/docker-compose.y{a,}ml`, or `None`.""" + for filename in _COMPOSE_FILES: + candidate = self.environment_dir / filename + if candidate.is_file(): + return candidate + return None + + @property + def seed_files(self) -> tuple[Path, ...]: + """Files uploaded into the working directory when the episode starts. + + Harbor only uploads `environment/` when it holds no build recipe: "If + you omit both `environment/Dockerfile` and `environment/docker-compose.yaml`, + any other files in `environment/` are uploaded into the container workdir". + """ + if not self.environment_dir.is_dir(): + return () + if self.dockerfile is not None or self.compose_file is not None: + return () + return tuple(sorted(p for p in self.environment_dir.rglob("*") if p.is_file())) + + @property + def needs_image(self) -> bool: + """Whether the task's starting state lives inside a container image. + + A task that ships seed files carries its own starting state and can be + reproduced anywhere. Anything else (a `Dockerfile`, a compose file, or a + pre-built `docker_image`) puts the starting state in an image, so only + the Docker execution mode can run it faithfully. + """ + if self.seed_files: + return False + return ( + self.dockerfile is not None + or self.compose_file is not None + or bool(self.docker_image) + ) + + # --- loading ------------------------------------------------------------ + + @classmethod + def load( + cls, path: str | os.PathLike[str], task_id: str | None = None + ) -> HarborTask: + """Load a task from its directory. + + Args: + path (`str` or `os.PathLike`): + The task directory (the one containing `task.toml`). + task_id (`str`, *optional*): + Identifier to record. Defaults to the directory name. + + Returns: + [`HarborTask`] + + Raises: + [`TaskFormatError`]: If `task.toml` is missing or unparsable, or the + task targets an unsupported container OS. + """ + 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 Harbor task: 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") + environment = _table(config, "environment") + os_name = str(environment.get("os", "linux")).lower() + if os_name != "linux": + raise TaskFormatError( + f"{task_dir} targets [environment].os = {os_name!r}; " + "harbor_env only supports Linux tasks" + ) + + 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", "")) + ) + + 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, + # Harbor spells it `schema_version`; Repo2RLEnv writes `version`. + schema_version=str( + config.get("schema_version") or config.get("version") or "unknown" + ), + metadata=_table(config, "metadata"), + docker_image=environment.get("docker_image") or None, + environment_env=_str_map(environment.get("env")), + verifier_env=_str_map(_table(config, "verifier").get("env")), + agent_timeout_s=_timeout(config, "agent", DEFAULT_AGENT_TIMEOUT_S), + verifier_timeout_s=_timeout(config, "verifier", DEFAULT_VERIFIER_TIMEOUT_S), + build_timeout_s=_positive_float( + environment.get("build_timeout_sec"), DEFAULT_BUILD_TIMEOUT_S + ), + os_name=os_name, + ) + + 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, + "schema_version": self.schema_version, + "path": str(self.path), + "needs_image": self.needs_image, + "docker_image": self.docker_image, + "has_verifier": self.test_script is not None, + "has_solution": self.solve_script is not None, + } + + +class TaskCatalog: + """Discovers Harbor tasks under a root directory. + + Any directory containing a `task.toml` is a task, and the search does not + descend into one once found. That covers a flat directory of tasks, the + `tasks//` layout `repo2rlenv push` writes to the Hub, and a single task + directory passed directly. + + Args: + root (`str` or `os.PathLike`): + Directory to scan. + + Examples: + + ```python + catalog = TaskCatalog("./tasks") + catalog.task_ids() # ['fix-sum-bug', 'pallets__click-1234'] + task = catalog.get("fix-sum-bug") + ``` + """ + + def __init__(self, root: str | os.PathLike[str]) -> 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 tasks(self) -> Iterator[HarborTask]: + """Yield every task under the root, in identifier order.""" + for task_id in self.task_ids(): + yield self.get(task_id) + + 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) -> HarborTask: + """Load one task by identifier. + + Accepts either the full identifier (path relative to the root) or a bare + directory name when that name is unique. + + Raises: + `KeyError`: If no task matches, or a bare name is ambiguous. + """ + available = self._task_dirs() + if task_id in available: + return HarborTask.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 HarborTask.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}; " + f"use one of {sorted(matches)}" + ) + raise KeyError( + f"unknown task {task_id!r} under {self.root}; " + f"available: {sorted(available) or ''}" + ) + + def _task_dirs(self) -> dict[str, Path]: + """Map identifier -> task directory, scanning the tree at most once. + + A served task set is fixed for the life of the server, so the scan is + cached; call [`refresh`] after changing it on disk. + """ + 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 + + +@lru_cache(maxsize=None) +def resolve_task_source(source: str | os.PathLike[str] | None) -> Path: + """Resolve a configured task source to a local directory. + + Results are cached, so a server that starts one environment per session + downloads a Hub dataset once and then trains against a fixed snapshot. + + Args: + source (`str` or `os.PathLike`, *optional*): + A local directory, or a Hugging Face dataset holding Harbor tasks — + `hf://datasets//`, optionally pinned with `@`. + A bare `/` is treated as a dataset when no such local path + exists. Defaults to the tasks bundled with this environment. + + Returns: + `Path`: A local directory to hand to [`TaskCatalog`]. + + Examples: + + ```python + resolve_task_source("./tasks") + resolve_task_source("hf://datasets/my-org/click-pr-tasks@v1") + ``` + """ + if source is None or not str(source).strip(): + return BUNDLED_TASKS_DIR + + text = str(source).strip() + local = Path(text).expanduser() + if local.exists(): + return local.resolve() + + match = _HUB_REFERENCE.match(text) + if match is None: + raise FileNotFoundError( + f"task source {text!r} is neither an existing directory nor a Hugging Face " + "dataset reference like 'hf://datasets//'" + ) + + from huggingface_hub import snapshot_download + + repo_id = match.group("repo_id") + logger.info("downloading Harbor tasks from dataset %s", repo_id) + return Path( + snapshot_download( + repo_id=repo_id, + revision=match.group("revision"), + repo_type="dataset", + ) + ) + + +def _table(config: dict[str, Any], key: str) -> dict[str, 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keys. The bundled +`fix-sum-bug` example task doubles as the end-to-end fixture, so these tests also +guard the claim that a real Harbor task directory runs unmodified. +""" + +from __future__ import annotations + +import json +import textwrap +from pathlib import Path + +import pytest +from harbor_env import HarborAction, HarborEnv, HarborObservation, HarborState +from harbor_env.server import ( + HarborEnvironment, + HarborTask, + LocalSandbox, + SandboxError, + TaskCatalog, + TaskFormatError, +) +from harbor_env.server.reward import read_reward +from harbor_env.server.sandbox import expand_env_refs, resolve_within, SandboxPaths +from harbor_env.server.task import BUNDLED_TASKS_DIR, resolve_task_source +from openenv.core.env_server.serialization import serialize_observation + + +EXAMPLE_TASK_ID = "fix-sum-bug" + +#: The bundled task's grader runs five checks; the shipped buggy `stats.py` +#: passes three of them. +BUGGY_REWARD = 3 / 5 + + +# --------------------------------------------------------------------------- +# helpers +# --------------------------------------------------------------------------- + + +def write_task( + root: Path, + task_id: str, + *, + config: str | None = None, + instruction: str = "do the thing", + test_script: str | None = None, + solve_script: str | None = None, + seed_files: dict[str, str] | None = None, + dockerfile: str | None = None, +) -> Path: + """Materialize a minimal Harbor task directory for a test.""" + task_dir = root / task_id + task_dir.mkdir(parents=True, exist_ok=True) + task_dir.joinpath("task.toml").write_text( + config + if config is not None + else textwrap.dedent( + f""" + schema_version = "1.4" + + [task] + name = "tests/{task_id}" + description = "fixture" + """ + ).strip(), + encoding="utf-8", + ) + task_dir.joinpath("instruction.md").write_text(instruction, encoding="utf-8") + + if test_script is not None: + tests = task_dir / "tests" + tests.mkdir(exist_ok=True) + tests.joinpath("test.sh").write_text(test_script, encoding="utf-8") + if solve_script is not None: + solution = task_dir / "solution" + solution.mkdir(exist_ok=True) + solution.joinpath("solve.sh").write_text(solve_script, encoding="utf-8") + for name, content in (seed_files or {}).items(): + target = task_dir / "environment" / name + target.parent.mkdir(parents=True, exist_ok=True) + target.write_text(content, encoding="utf-8") + if dockerfile is not None: + environment = task_dir / "environment" + environment.mkdir(exist_ok=True) + environment.joinpath("Dockerfile").write_text(dockerfile, encoding="utf-8") + return task_dir + + +def reader(files: dict[str, str]): + """Build the `read_text` callable that `read_reward` expects.""" + return lambda name: files.get(name) + + +# --------------------------------------------------------------------------- +# task.toml parsing +# --------------------------------------------------------------------------- + + +def test_load_reads_harbor_schema(tmp_path: Path) -> None: + task_dir = write_task( + tmp_path, + "demo", + config=textwrap.dedent( + """ + schema_version = "1.4" + + [task] + name = "acme/demo" + description = "a demo" + + [metadata] + difficulty = "easy" + + [environment] + docker_image = "python:3.12-slim" + + [agent] + timeout_sec = 60.0 + + [verifier] + timeout_sec = 30.0 + """ + ).strip(), + instruction="# Demo\n", + ) + + task = HarborTask.load(task_dir) + + assert task.name == "acme/demo" + assert task.description == "a demo" + assert task.schema_version == "1.4" + assert task.instruction == "# Demo\n" + assert task.metadata["difficulty"] == "easy" + assert task.docker_image == "python:3.12-slim" + assert task.agent_timeout_s == 60.0 + assert task.verifier_timeout_s == 30.0 + + +def test_load_reads_repo2rlenv_version_key(tmp_path: Path) -> None: + """Repo2RLEnv writes `version` where Harbor writes `schema_version`.""" + task_dir = write_task( + tmp_path, + "pallets__click-2951", + config=textwrap.dedent( + """ + version = "1.0" + + [task] + name = "acme/pallets__click-2951" + description = "Fix the thing" + + [metadata.repo2env] + pipeline = "pr_diff" + reward_kinds = ["diff_similarity"] + """ + ).strip(), + ) + + task = HarborTask.load(task_dir) + + assert task.schema_version == "1.0" + assert task.metadata["repo2env"]["pipeline"] == "pr_diff" + # Absent timeout tables fall back to Harbor's documented defaults. + assert task.verifier_timeout_s == 300.0 + assert task.agent_timeout_s == 1800.0 + + +def test_load_rejects_non_task_directory(tmp_path: Path) -> None: + with pytest.raises(TaskFormatError, match="no task.toml"): + HarborTask.load(tmp_path) + + +def test_load_rejects_windows_tasks(tmp_path: Path) -> None: + task_dir = write_task( + tmp_path, + "win", + config='schema_version = "1.4"\n\n[environment]\nos = "windows"\n', + ) + with pytest.raises(TaskFormatError, match="only supports Linux"): + HarborTask.load(task_dir) + + +def test_instruction_falls_back_to_description(tmp_path: Path) -> None: + task_dir = write_task(tmp_path, "terse") + (task_dir / "instruction.md").unlink() + assert HarborTask.load(task_dir).instruction == "fixture" + + +# --------------------------------------------------------------------------- +# self-contained vs image-backed tasks +# --------------------------------------------------------------------------- + + +def test_seed_files_make_a_task_self_contained(tmp_path: Path) -> None: + task_dir = write_task(tmp_path, "seeded", seed_files={"app.py": "x = 1\n"}) + task = HarborTask.load(task_dir) + + assert [p.name for p in task.seed_files] == ["app.py"] + assert task.needs_image is False + + +def test_dockerfile_suppresses_seed_upload(tmp_path: Path) -> None: + """Harbor only uploads environment/ when it holds no build recipe.""" + task_dir = write_task( + tmp_path, + "built", + seed_files={"app.py": "x = 1\n"}, + dockerfile="FROM python:3.12-slim\n", + ) + task = HarborTask.load(task_dir) + + assert task.seed_files == () + assert task.needs_image is True + + +def test_docker_image_alone_needs_an_image(tmp_path: Path) -> None: + task_dir = write_task( + tmp_path, + "prebuilt", + config='schema_version = "1.4"\n\n[environment]\ndocker_image = "ghcr.io/acme/x:1"\n', + ) + assert HarborTask.load(task_dir).needs_image is True + + +# --------------------------------------------------------------------------- +# discovery +# --------------------------------------------------------------------------- + + +def test_catalog_finds_flat_and_nested_tasks(tmp_path: Path) -> None: + write_task(tmp_path, "alpha") + write_task(tmp_path / "tasks", "beta") # the layout `repo2rlenv push` writes + + catalog = TaskCatalog(tmp_path) + + assert catalog.task_ids() == ["alpha", "tasks/beta"] + assert catalog.get("tasks/beta").task_id == "tasks/beta" + # A bare directory name resolves when it is unambiguous. + assert catalog.get("beta").task_id == "tasks/beta" + + +def test_catalog_accepts_a_single_task_directory(tmp_path: Path) -> None: + task_dir = write_task(tmp_path, "solo") + assert TaskCatalog(task_dir).task_ids() == ["solo"] + + +def test_catalog_reports_ambiguous_and_unknown_ids(tmp_path: Path) -> None: + write_task(tmp_path / "a", "dup") + write_task(tmp_path / "b", "dup") + catalog = TaskCatalog(tmp_path) + + with pytest.raises(KeyError, match="ambiguous"): + catalog.get("dup") + with pytest.raises(KeyError, match="unknown task"): + catalog.get("nope") + + +def test_catalog_caches_its_scan_until_refreshed(tmp_path: Path) -> None: + write_task(tmp_path, "first") + catalog = TaskCatalog(tmp_path) + assert catalog.task_ids() == ["first"] + + write_task(tmp_path, "second") + assert catalog.task_ids() == ["first"] # served task sets are fixed + + catalog.refresh() + assert catalog.task_ids() == ["first", "second"] + + +def test_resolve_task_source_defaults_to_bundled_tasks() -> None: + assert resolve_task_source(None) == BUNDLED_TASKS_DIR + assert resolve_task_source(" ") == BUNDLED_TASKS_DIR + + +def test_resolve_task_source_rejects_nonsense() -> None: + with pytest.raises(FileNotFoundError, match="neither an existing directory"): + resolve_task_source("./definitely/not/here") + + +# --------------------------------------------------------------------------- +# reward contract +# --------------------------------------------------------------------------- + + +def test_reward_json_takes_precedence_over_reward_txt() -> None: + report = read_reward( + reader( + {"reward.json": '{"reward": 0.75, "f2p_rate": 0.5}', "reward.txt": "0.1"} + ) + ) + + assert report.value == 0.75 + assert report.source == "reward.json" + assert report.metrics == {"reward": 0.75, "f2p_rate": 0.5} + assert report.graded is True + + +def test_reward_json_with_a_single_metric_is_unambiguous() -> None: + report = read_reward(reader({"reward.json": '{"accuracy": 0.5}'})) + assert report.value == 0.5 + assert report.source == "reward.json" + + +def test_reward_json_without_a_primary_metric_falls_back_to_txt() -> None: + report = read_reward( + reader( + { + "reward.json": '{"accuracy": 0.5, "runtime_sec": 2.0}', + "reward.txt": "0.9", + } + ) + ) + + assert report.value == 0.9 + assert report.source == "reward.txt" + assert report.metrics == {"accuracy": 0.5, "runtime_sec": 2.0} + assert any("no 'reward' key" in e for e in report.errors) + + +def test_reward_txt_alone_is_honoured() -> None: + report = read_reward(reader({"reward.txt": "1\n"})) + assert report.value == 1.0 + assert report.source == "reward.txt" + + +def test_missing_reward_files_are_not_synthesized_into_zero() -> None: + report = read_reward(reader({})) + + assert report.value is None + assert report.graded is False + assert report.source == "missing" + + +def test_malformed_reward_files_are_reported_not_guessed() -> None: + report = read_reward(reader({"reward.json": "{oops", "reward.txt": "not-a-number"})) + + assert report.value is None + assert len(report.errors) == 2 + + +def test_repo2rlenv_details_sidecar_is_surfaced_but_never_scored() -> None: + details = {"reward": 0.83, "f2p_passed": 2, "components": {"similarity": 0.4}} + report = read_reward( + reader({"reward-details.json": json.dumps(details), "reward.txt": "0.83"}) + ) + + assert report.value == 0.83 + assert report.source == "reward.txt" + assert report.details["components"]["similarity"] == 0.4 + + +# --------------------------------------------------------------------------- +# sandbox primitives +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize("relative", ["a.py", "pkg/mod.py", "./pkg/../a.py"]) +def test_resolve_within_accepts_paths_inside_the_workdir(relative: str) -> None: + assert resolve_within("/work", relative).startswith("/work") + + +@pytest.mark.parametrize( + "relative", ["../tests/grade.py", "../../etc/passwd", "/etc/passwd", "a/../../b"] +) +def test_resolve_within_rejects_escapes(relative: str) -> None: + with pytest.raises(ValueError): + resolve_within("/work", relative) + + +def test_sandbox_paths_expose_harbor_layout_as_env() -> None: + env = SandboxPaths(workdir="/workspace").as_env() + + assert env["HARBOR_WORKDIR"] == "/workspace" + assert env["HARBOR_TESTS_DIR"] == "/tests" + assert env["HARBOR_LOGS_DIR"] == "/logs/verifier" + + +def test_expand_env_refs_resolves_and_blanks_missing_values(monkeypatch) -> None: + monkeypatch.setenv("HARBOR_TEST_TOKEN", "s3cret") + monkeypatch.delenv("HARBOR_TEST_ABSENT", raising=False) + + resolved = expand_env_refs( + {"A": "${HARBOR_TEST_TOKEN}", "B": "$HARBOR_TEST_ABSENT"} + ) + + assert resolved == {"A": "s3cret", "B": ""} + + +def test_local_sandbox_refuses_image_backed_tasks(tmp_path: Path) -> None: + task = HarborTask.load( + write_task(tmp_path, "needs-image", dockerfile="FROM python:3.12-slim\n") + ) + sandbox = LocalSandbox() + try: + with pytest.raises(SandboxError, match="HARBOR_MODE=docker"): + sandbox.start(task) + finally: + sandbox.close() + + +def test_local_sandbox_cleans_up_its_root(tmp_path: Path) -> None: + task = HarborTask.load( + write_task(tmp_path, "seeded", seed_files={"a.py": "x = 1\n"}) + ) + sandbox = LocalSandbox() + sandbox.start(task) + root = sandbox.root + + assert (Path(sandbox.paths.workdir) / "a.py").is_file() + sandbox.close() + assert not root.exists() + + +# --------------------------------------------------------------------------- +# environment: the bundled example task, end to end +# --------------------------------------------------------------------------- + + +@pytest.fixture +def env(): + environment = HarborEnvironment() + yield environment + environment.close() + + +def test_reset_serves_the_task_instruction(env: HarborEnvironment) -> None: + obs = env.reset(task_id=EXAMPLE_TASK_ID) + + assert obs.task_id == EXAMPLE_TASK_ID + assert obs.task_name == "openenv/fix-sum-bug" + assert obs.mode == "local" + assert "stats.py" in obs.instruction + assert obs.done is False + assert env.state.available_tasks == [EXAMPLE_TASK_ID] + + +def test_seed_files_land_in_the_working_directory(env: HarborEnvironment) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + obs = env.step(HarborAction(action_type="read", path="stats.py")) + + assert obs.success is True + assert "def total(values)" in obs.output + + +def test_verifier_reward_is_forwarded_verbatim(env: HarborEnvironment) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + obs = env.step(HarborAction(action_type="evaluate")) + + assert obs.reward == pytest.approx(BUGGY_REWARD) + assert obs.done is True + assert obs.info["reward_source"] == "reward.json" + assert obs.info["reward_metrics"]["total_empty"] == 0.0 + assert env.state.evaluated is True + assert env.state.reward == pytest.approx(BUGGY_REWARD) + + +def test_agent_edits_change_the_reward(env: HarborEnvironment) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + fixed = textwrap.dedent( + """ + def total(values): + return sum(values) + + + def mean(values): + if not values: + return 0.0 + return total(values) / len(values) + """ + ).strip() + write = env.step(HarborAction(action_type="write", path="stats.py", content=fixed)) + assert write.success is True + + assert env.step(HarborAction(action_type="evaluate")).reward == pytest.approx(1.0) + + +def test_oracle_solution_earns_full_reward(env: HarborEnvironment) -> None: + """`solve` is how a task set is validated: the oracle must score 1.0.""" + env.reset(task_id=EXAMPLE_TASK_ID) + solved = env.step(HarborAction(action_type="solve")) + assert solved.success is True + + assert env.step(HarborAction(action_type="evaluate")).reward == pytest.approx(1.0) + + +def test_exec_reports_failures_without_ending_the_episode( + env: HarborEnvironment, +) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + obs = env.step(HarborAction(action_type="exec", command="exit 3")) + + assert obs.success is False + assert obs.exit_code == 3 + assert obs.done is False + assert obs.reward is None + + +def test_agent_cannot_reach_the_verifier(env: HarborEnvironment) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + + escape = env.step(HarborAction(action_type="read", path="../tests/grade.py")) + assert escape.success is False + assert "escapes the working directory" in escape.error + + # tests/ is staged only when the verifier runs, so it is not there yet. + listing = env.step(HarborAction(action_type="exec", command="ls")) + assert listing.output.split() == ["stats.py"] + + +def test_planted_reward_files_are_discarded(env: HarborEnvironment) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + env.step( + HarborAction( + action_type="exec", + command='mkdir -p "$HARBOR_LOGS_DIR" && echo \'{"reward": 1.0}\' > "$HARBOR_LOGS_DIR/reward.json"', + ) + ) + + assert env.step(HarborAction(action_type="evaluate")).reward == pytest.approx( + BUGGY_REWARD + ) + + +def test_unscorable_episode_reports_no_reward(tmp_path: Path) -> None: + """A verifier that writes nothing must not be turned into a 0.0.""" + write_task( + tmp_path, + "silent", + seed_files={"noop.txt": "hi\n"}, + test_script="#!/bin/bash\necho 'graded nothing'\n", + ) + environment = HarborEnvironment(tasks=str(tmp_path)) + try: + environment.reset(task_id="silent") + obs = environment.step(HarborAction(action_type="evaluate")) + finally: + environment.close() + + assert obs.reward is None + assert obs.done is True + assert obs.success is False + assert "wrote no reward file" in obs.error + assert obs.info["reward_source"] == "missing" + + +def test_missing_verifier_is_reported(tmp_path: Path) -> None: + write_task(tmp_path, "ungraded", seed_files={"a.txt": "x\n"}) + environment = HarborEnvironment(tasks=str(tmp_path)) + try: + environment.reset(task_id="ungraded") + obs = environment.step(HarborAction(action_type="evaluate")) + finally: + environment.close() + + assert obs.success is False + assert "no tests/test.sh" in obs.error + + +def test_absolute_path_verifier_gets_an_actionable_hint(tmp_path: Path) -> None: + write_task( + tmp_path, + "hardcoded", + seed_files={"a.txt": "x\n"}, + test_script="#!/bin/bash\necho 1.0 > /logs/verifier/reward.txt\n", + ) + environment = HarborEnvironment(tasks=str(tmp_path)) + try: + environment.reset(task_id="hardcoded") + obs = environment.step(HarborAction(action_type="evaluate")) + finally: + environment.close() + + assert obs.reward is None + assert "HARBOR_MODE=docker" in obs.error + + +def test_step_before_reset_is_reported(env: HarborEnvironment) -> None: + obs = env.step(HarborAction(action_type="exec", command="ls")) + + assert obs.success is False + assert "call reset() first" in obs.error + + +def test_reset_without_a_task_id_lists_the_options(tmp_path: Path) -> None: + write_task(tmp_path, "one") + write_task(tmp_path, "two") + environment = HarborEnvironment(tasks=str(tmp_path)) + try: + with pytest.raises(ValueError, match="needs a task_id"): + environment.reset() + finally: + environment.close() + + +def test_reset_starts_a_clean_episode(env: HarborEnvironment) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + env.step(HarborAction(action_type="write", path="scratch.txt", content="dirty")) + first_workdir = env.state.workdir + + env.reset(task_id=EXAMPLE_TASK_ID) + + assert env.state.workdir != first_workdir + assert env.state.step_count == 0 + assert env.step(HarborAction(action_type="exec", command="ls")).output.split() == [ + "stats.py" + ] + + +# --------------------------------------------------------------------------- +# wire contract between client and server +# --------------------------------------------------------------------------- + + +def test_action_schema_rejects_unknown_action_types() -> None: + with pytest.raises(ValueError): + HarborAction(action_type="rm_rf") + + +def test_client_parses_what_the_server_serializes(env: HarborEnvironment) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + observation = env.step(HarborAction(action_type="evaluate")) + payload = serialize_observation(observation) + + result = HarborEnv(base_url="http://localhost:8000")._parse_result(payload) + + assert isinstance(result.observation, HarborObservation) + assert result.reward == pytest.approx(BUGGY_REWARD) + assert result.done is True + assert result.observation.info["reward_source"] == "reward.json" + + +def test_client_parses_state(env: HarborEnvironment) -> None: + env.reset(task_id=EXAMPLE_TASK_ID) + + state = HarborEnv(base_url="http://localhost:8000")._parse_state( + env.state.model_dump() + ) + + assert isinstance(state, HarborState) + assert state.task_id == EXAMPLE_TASK_ID + assert state.mode == "local" + + +def test_client_step_payload_round_trips(tmp_path: Path) -> None: + action = HarborAction(action_type="write", path="a.py", content="x = 1\n") + + payload = HarborEnv(base_url="http://localhost:8000")._step_payload(action) + + assert HarborAction.model_validate(payload) == action From f568159400411ec85c6beb3c92ed871d2f9e0c00 Mon Sep 17 00:00:00 2001 From: Govind Kamtamneni Date: Tue, 28 Jul 2026 08:08:39 -0700 Subject: [PATCH 2/7] =?UTF-8?q?fix(harbor=5Fenv):=20address=20bot=20review?= =?UTF-8?q?=20=E2=80=94=20stale=20reset=20state,=20tar=20duplication,=20em?= =?UTF-8?q?pty=20paths?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Cursor Bugbot and Copilot both reviewed #1018. Four concrete findings, all real: 1. reset() left the previous episode in state (Bugbot, medium) close() tears the sandbox down first, but _state was only replaced after catalog.get() and sandbox.start(), either of which can raise. A failed reset therefore reported a task_id, workdir and reward for an episode that was no longer running. Now drops to a clean HarborState before the fallible work. 2. DockerSandbox.upload_dir() archived nested files twice (Copilot) rglob("*") yields directories as well as files and tarfile.add() recurses by default, so every nested file was added once via its parent and again on its own iteration. Passes recursive=False; directory entries are still emitted, so empty directories survive. 3/4. read/write accepted an empty path (Copilot; write was filed low-confidence) HarborAction.path defaults to "", which resolve_within() happily resolved to the working directory itself. For read that produced a confusing "no such file: ". For write it was destructive: the target split into ("/", "workspace"), so the upload would have dropped a regular file over the whole checkout. Fixed in resolve_within() rather than at the two call sites, since that is the single chokepoint every agent-supplied path passes through — "", " ", "." and "a/.." are all rejected now. Also, from Copilot's Tier 2 flag that evaluate/solve share the action schema with agent actions: AGENT_ACTIONS and CONTROL_ACTIONS were decorative — exported but never referenced. HarborActionType is now composed from AgentActionType and ControlActionType instead of restating the five strings, so a new action has to be classified as one or the other to exist at all, and a test asserts the two sets remain a partition of the handler table. That does not resolve the boundary question itself, which is left for human review. Tests: 8 added (58 total). Each regression test was confirmed to fail against the unfixed code before being kept. Full suite 1471 passed, 130 skipped. --- envs/harbor_env/models.py | 11 +- .../server/harbor_env_environment.py | 7 ++ envs/harbor_env/server/sandbox.py | 24 +++- tests/envs/test_harbor_env.py | 118 +++++++++++++++++- 4 files changed, 152 insertions(+), 8 deletions(-) diff --git a/envs/harbor_env/models.py b/envs/harbor_env/models.py index 5720758db..074f88e4c 100644 --- a/envs/harbor_env/models.py +++ b/envs/harbor_env/models.py @@ -5,7 +5,7 @@ Shared by the client and the server; neither side imports the other. """ -from typing import Any, Literal +from typing import Any, get_args, Literal, Union from openenv.core.env_server.types import Action, Observation, State from pydantic import Field @@ -20,10 +20,13 @@ #: infrastructure side of the boundary. ControlActionType = Literal["evaluate", "solve"] -HarborActionType = Literal["exec", "read", "write", "evaluate", "solve"] +#: Every action the server accepts. Composed from the two sets 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. +HarborActionType = Union[AgentActionType, ControlActionType] -AGENT_ACTIONS: frozenset[str] = frozenset({"exec", "read", "write"}) -CONTROL_ACTIONS: frozenset[str] = frozenset({"evaluate", "solve"}) +AGENT_ACTIONS: frozenset[str] = frozenset(get_args(AgentActionType)) +CONTROL_ACTIONS: frozenset[str] = frozenset(get_args(ControlActionType)) class HarborAction(Action): diff --git a/envs/harbor_env/server/harbor_env_environment.py b/envs/harbor_env/server/harbor_env_environment.py index 6ad6ca14d..5c69fb1be 100644 --- a/envs/harbor_env/server/harbor_env_environment.py +++ b/envs/harbor_env/server/harbor_env_environment.py @@ -158,6 +158,13 @@ def reset( del seed self.close() + # A failed reset must not leave the previous episode's state behind. + # close() has already torn the sandbox down, so anything read from + # `state` after a raise below would describe a task that is no longer + # running. Drop to "no episode" first, then do the work that can fail. + self._state = HarborState(mode=self.mode) + self._refresh_catalog_state() + task = self.catalog.get(self._select_task_id(kwargs.get("task_id"))) sandbox = self._sandbox_factory(self.mode) try: diff --git a/envs/harbor_env/server/sandbox.py b/envs/harbor_env/server/sandbox.py index 6b4dfa3c3..7f5a5edfa 100644 --- a/envs/harbor_env/server/sandbox.py +++ b/envs/harbor_env/server/sandbox.py @@ -492,7 +492,14 @@ def upload_dir(self, source: Path, destination: str) -> None: stream = io.BytesIO() with tarfile.open(fileobj=stream, mode="w") as archive: for entry in sorted(source.rglob("*")): - archive.add(entry, arcname=entry.relative_to(source).as_posix()) + # rglob yields directories as well as files, and `add` recurses + # by default — leaving it on would archive 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 close(self) -> None: @@ -600,15 +607,26 @@ def resolve_within(base: str, relative: str) -> str: `/solution`. Raises: - `ValueError`: If `relative` is absolute or escapes `base`. + `ValueError`: If `relative` is empty, is absolute, names the working + directory 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 not target.startswith(base_norm.rstrip("/") + "/"): + if target == base_norm: + # `""`, `"."` and `"a/.."` all land here. Allowing it would mean reading + # a directory, or — far worse — writing a regular file over the + # working directory itself. + 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 diff --git a/tests/envs/test_harbor_env.py b/tests/envs/test_harbor_env.py index e4619a907..1d2767885 100644 --- a/tests/envs/test_harbor_env.py +++ b/tests/envs/test_harbor_env.py @@ -9,13 +9,23 @@ from __future__ import annotations +import io import json +import tarfile import textwrap from pathlib import Path import pytest -from harbor_env import HarborAction, HarborEnv, HarborObservation, HarborState +from harbor_env import ( + AGENT_ACTIONS, + CONTROL_ACTIONS, + HarborAction, + HarborEnv, + HarborObservation, + HarborState, +) from harbor_env.server import ( + DockerSandbox, HarborEnvironment, HarborTask, LocalSandbox, @@ -371,6 +381,86 @@ def test_resolve_within_rejects_escapes(relative: str) -> None: resolve_within("/work", relative) +@pytest.mark.parametrize("relative", ["", " ", ".", "a/.."]) +def test_resolve_within_rejects_paths_naming_the_workdir(relative: str) -> None: + """An empty path must not resolve to the working directory itself. + + `read` would try to cat a directory and report a confusing "no such file", + but `write` is worse: the target splits into ("/", "workspace"), so the + upload would drop a regular file over the whole checkout. + """ + with pytest.raises(ValueError): + resolve_within("/work", relative) + + +def test_empty_paths_are_rejected_as_actions(env: HarborEnvironment) -> None: + """The action layer surfaces the rejection instead of a backend error.""" + env.reset(task_id=EXAMPLE_TASK_ID) + + for action in ( + HarborAction(action_type="read", path=""), + HarborAction(action_type="write", path="", content="x"), + ): + observation = env.step(action) + assert not observation.success + assert "path" in observation.error + + # The working directory survived the write attempt. + listing = env.step(HarborAction(action_type="exec", command="ls")) + assert listing.output.split() == ["stats.py"] + + +def test_docker_upload_dir_archives_each_entry_once( + tmp_path: Path, monkeypatch: pytest.MonkeyPatch +) -> None: + """`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. + """ + source = tmp_path / "tests" + (source / "nested").mkdir(parents=True) + (source / "test.sh").write_text("#!/bin/bash\n", encoding="utf-8") + (source / "nested" / "grade.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/grade.py", "test.sh"] + assert len(names) == len(set(names)) + + +def test_action_types_partition_into_agent_and_control() -> None: + """The two sets must stay a partition of what the server actually handles. + + They are what documents which actions belong in a policy's action space, so + a new action type that nobody classified would silently read as + agent-reachable. + """ + handled = set(HarborEnvironment(tasks=str(BUNDLED_TASKS_DIR))._handlers) + + assert AGENT_ACTIONS | CONTROL_ACTIONS == handled + assert not (AGENT_ACTIONS & CONTROL_ACTIONS) + # Everything classified is also accepted on the wire, and nothing else is. + for action_type in handled: + HarborAction(action_type=action_type) + with pytest.raises(ValueError): + HarborAction(action_type="reset") + + def test_sandbox_paths_expose_harbor_layout_as_env() -> None: env = SandboxPaths(workdir="/workspace").as_env() @@ -596,6 +686,32 @@ def test_reset_without_a_task_id_lists_the_options(tmp_path: Path) -> None: environment.close() +def test_failed_reset_does_not_leave_the_previous_episode_in_state( + env: HarborEnvironment, +) -> None: + """A reset that raises must not leave `state` describing a dead episode. + + reset() tears the old sandbox down before it can fail, so reporting the + previous task afterwards would tell a trainer an episode is running when + nothing is. + """ + env.reset(task_id=EXAMPLE_TASK_ID) + env.step(HarborAction(action_type="evaluate")) + assert env.state.task_id == EXAMPLE_TASK_ID + assert env.state.evaluated + + with pytest.raises(KeyError): + env.reset(task_id="no-such-task") + + assert env.state.task_id == "" + assert env.state.task_name == "" + assert env.state.workdir == "" + assert env.state.reward is None + assert not env.state.evaluated + # The catalog listing survives — it does not belong to any one episode. + assert env.state.task_count == 1 + + def test_reset_starts_a_clean_episode(env: HarborEnvironment) -> None: env.reset(task_id=EXAMPLE_TASK_ID) env.step(HarborAction(action_type="write", path="scratch.txt", content="dirty")) From 592de2b200d4c920fbbab89484f22de4ca2496f3 Mon Sep 17 00:00:00 2001 From: Govind Kamtamneni Date: Wed, 29 Jul 2026 06:40:10 -0700 Subject: [PATCH 3/7] fix(harbor_env): default to docker, honour task policies, make the episode terminal MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Addresses the three issues raised in review, plus two related holes found while verifying them. ## [p1] local mode was the default and leaked too much - `HARBOR_MODE` now defaults to `docker`. It is the faithful backend and the only one that can enforce a task's declared policies; `local` is an explicit opt-in for Docker-less hosts such as Spaces. - `LocalSandbox.exec` no longer hands subprocesses the server's whole environment. Task commands are attacker-controlled input, so they now start from a short allowlist (PATH, HOME, LANG, …) and the process's API keys and Hub tokens stay out. A task that needs a secret declares it in `[environment].env`, which is resolved explicitly. While confirming the escape, two further leaks turned up: - `reset()` put the task's server-side directory in the observation, which reaches the agent. In local mode `exec cat /solution/…` then read the oracle outright. `HarborTask.summary()` no longer carries `path`; `HarborState.task_path` still does, since state is infrastructure-side. - `HARBOR_TESTS_DIR` / `HARBOR_SOLUTION_DIR` / `HARBOR_LOGS_DIR` were exported into agent commands. `SandboxPaths.as_env(agent_visible=True)` now withholds them; the verifier and oracle still receive the full set. - `stage_tests` / `stage_solution` now wipe the destination first. The agent shares the filesystem and could pre-create `/tests`; a planted file survived staging and was read by the verifier. Regression test confirms it scored 1.0 before this change. ## [p1] network, resource and user policies were ignored `task.py` now parses `[environment].network_mode` / `allowed_hosts` / `cpus` / `memory_mb` / `storage_mb` / `gpus` / `workdir` and `[agent].user` / `[verifier].user`, including the deprecated `allow_internet` spelling. - Docker: `no-network` becomes `network_mode="none"`, cpus/memory become real container limits, and each phase runs as its declared user. Verified against a live container — `getent hosts pypi.org` fails and `memory.max` reads 536870912. - Unenforceable policies are refused rather than approximated: `allowlist` (needs a filtering proxy) and `gpus`. An unknown `network_mode` is a parse error, so it can never silently degrade to `public`. - Phases that disagree get the restrictive setting — a container has one network, and resolving that conflict permissively would hand a sandboxed verifier the internet. - Local: refuses any task declaring a policy it cannot enforce, naming HARBOR_MODE=docker, instead of running it unconstrained and reporting a score the task never sanctioned. ## [p2] evaluate/solve split unenforced; done walked back - After `evaluate` the episode is terminal: every later action is refused and keeps reporting `done=True`. Previously a post-evaluate `exec` returned `done=False`, contradicting a terminal state already reported to the trainer. - `allow_control_actions` (env `HARBOR_ALLOW_CONTROL_ACTIONS=0`) makes the server refuse `evaluate`/`solve` outright, so the agent/orchestration split is enforced rather than left to the caller's wiring. Left on by default, since a run that cannot score itself is only useful for agent-facing deployments. Tests: 14 added (72 total). Each regression test was confirmed to fail against the unfixed code. Existing tests now pass `mode="local"` explicitly rather than relying on the old default. Full suite 1578 passed, 131 skipped. --- docs/source/environments/harbor.md | 49 ++- envs/harbor_env/README.md | 49 ++- envs/harbor_env/examples/validate_taskset.py | 12 +- envs/harbor_env/server/Dockerfile | 3 + envs/harbor_env/server/app.py | 12 +- .../server/harbor_env_environment.py | 70 ++++- envs/harbor_env/server/sandbox.py | 179 ++++++++++- envs/harbor_env/server/task.py | 175 ++++++++++- tests/envs/test_harbor_env.py | 289 +++++++++++++++++- 9 files changed, 787 insertions(+), 51 deletions(-) diff --git a/docs/source/environments/harbor.md b/docs/source/environments/harbor.md index 69842ed18..4f544359f 100644 --- a/docs/source/environments/harbor.md +++ b/docs/source/environments/harbor.md @@ -55,14 +55,20 @@ HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harb | Mode | How it runs | Use it for | |------|-------------|-----------| -| `local` (default) | Subprocesses under a per-episode directory tree | Self-contained tasks; no Docker, so it works on Hugging Face Spaces | -| `docker` | Inside the task's own image, files streamed over the Docker API | Everything — required for tasks whose starting state lives in an image | +| `docker` (default) | Inside the task's own image, files streamed over the Docker API | Everything — and the only backend that can enforce a task's network, resource and user policies | +| `local` | Subprocesses under a per-episode directory tree | Self-contained tasks on Docker-less hosts such as Hugging Face Spaces | > **`local` mode is a filesystem boundary, not a security boundary.** `exec` -> runs shell commands as the server's own user with the server's own -> environment, so a task or a policy can read whatever that user can and can -> reach the network. Serve task sets you trust in `local` mode; use `docker` -> mode for anything else. +> runs shell commands as the server's own user, so a task or a policy can read +> whatever that user can and can reach the network. It is opt-in for that +> reason. The server's own environment is *not* passed through — only `PATH`, +> `HOME` and a short allowlist — so API keys and Hub tokens held by the process +> stay out of task commands. Tasks needing a secret declare it in +> `[environment].env`. + +`local` mode refuses any task whose `task.toml` declares a policy it cannot +enforce — `network_mode`, `cpus`/`memory_mb`, or an `[agent].user` — rather than +running it unconstrained and reporting a score the task never sanctioned. `docker` mode needs the `docker` Python package. It ships in this environment's own dependencies, so `uv run --project envs/harbor_env server` already has it; @@ -84,6 +90,24 @@ task 'pallets__click-2951' keeps its starting state in a container image Run the server with HARBOR_MODE=docker, or use a task that ships its files in environment/. ``` +## Task policies + +`task.toml` may constrain how a task runs. These are honoured in `docker` mode +and cause `local` mode to refuse the task: + +| Declaration | Effect | +|---|---| +| `[environment].network_mode = "no-network"` | The container gets no network | +| `[environment].cpus` / `memory_mb` / `storage_mb` | Real container limits | +| `[environment].workdir` | Overrides the image's `WORKDIR` | +| `[agent].user` / `[verifier].user` | That phase runs as the named account | +| `network_mode = "allowlist"`, `gpus` | **Refused** — needs a filtering proxy / accelerators this backend does not provide. Grade with `harbor run`. | + +A task whose phases disagree (say a `public` agent and a `no-network` verifier) +gets the **restrictive** setting for the whole episode: a container has one +network, and resolving the conflict permissively would hand a sandboxed +verifier the internet. + ## The task format ```text @@ -145,8 +169,12 @@ poison a training run. `exec`, `read` and `write` are the agent's action space. `evaluate` and `solve` are training-orchestration controls: they decide when an episode ends and can hand over the answer, so they belong on the infrastructure side of OpenEnv's -[dual API boundary](https://github.com/huggingface/OpenEnv/blob/main/rfcs/001-architecture.md) -and are never exposed to the agent. +[dual API boundary](https://github.com/huggingface/OpenEnv/blob/main/rfcs/001-architecture.md). +Set `HARBOR_ALLOW_CONTROL_ACTIONS=0` to have the server refuse them outright, +for deployments where a policy can reach the same socket. + +`evaluate` ends the episode. Every later action is refused and keeps reporting +`done=True` — the episode never returns to a running state without `reset()`. `read` and `write` are confined to the working directory, so an agent cannot reach `/tests` or `/solution`. The verifier log directory is also cleared @@ -219,7 +247,8 @@ A verifier that hardcodes `/logs/verifier` still works in `docker` mode; in | Variable | Default | Meaning | |----------|---------|---------| | `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//[@rev]` | -| `HARBOR_MODE` | `local` | `local` or `docker` | +| `HARBOR_MODE` | `docker` | `docker` or `local` | +| `HARBOR_ALLOW_CONTROL_ACTIONS` | `1` | Accept `evaluate`/`solve`; set `0` for agent-facing deployments | | `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none | | `HARBOR_COMMAND_TIMEOUT_S` | `120` | Timeout for agent `exec` actions | | `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode | @@ -245,7 +274,7 @@ docker run --rm -p 8000:8000 \ ``` Hugging Face Spaces cannot run Docker-in-Docker, so a Space serves `local` mode -and therefore self-contained tasks. +and therefore self-contained tasks that declare no restrictive policies. ## Examples diff --git a/envs/harbor_env/README.md b/envs/harbor_env/README.md index ea1d43e04..5bf69d7eb 100644 --- a/envs/harbor_env/README.md +++ b/envs/harbor_env/README.md @@ -71,14 +71,20 @@ HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harb | Mode | How it runs | Use it for | |------|-------------|-----------| -| `local` (default) | Subprocesses under a per-episode directory tree | Self-contained tasks; no Docker, so it works on Hugging Face Spaces | -| `docker` | Inside the task's own image, files streamed over the Docker API | Everything — required for tasks whose starting state lives in an image | +| `docker` (default) | Inside the task's own image, files streamed over the Docker API | Everything — and the only backend that can enforce a task's network, resource and user policies | +| `local` | Subprocesses under a per-episode directory tree | Self-contained tasks on Docker-less hosts such as Hugging Face Spaces | > **`local` mode is a filesystem boundary, not a security boundary.** `exec` -> runs shell commands as the server's own user with the server's own -> environment, so a task or a policy can read whatever that user can and can -> reach the network. Serve task sets you trust in `local` mode; use `docker` -> mode for anything else. +> runs shell commands as the server's own user, so a task or a policy can read +> whatever that user can and can reach the network. It is opt-in for that +> reason. The server's own environment is *not* passed through — only `PATH`, +> `HOME` and a short allowlist — so API keys and Hub tokens held by the process +> stay out of task commands. Tasks needing a secret declare it in +> `[environment].env`. + +`local` mode refuses any task whose `task.toml` declares a policy it cannot +enforce — `network_mode`, `cpus`/`memory_mb`, or an `[agent].user` — rather than +running it unconstrained and reporting a score the task never sanctioned. `docker` mode needs the `docker` Python package. It ships in this environment's own dependencies, so `uv run --project envs/harbor_env server` already has it; @@ -100,6 +106,24 @@ task 'pallets__click-2951' keeps its starting state in a container image Run the server with HARBOR_MODE=docker, or use a task that ships its files in environment/. ``` +## Task policies + +`task.toml` may constrain how a task runs. These are honoured in `docker` mode +and cause `local` mode to refuse the task: + +| Declaration | Effect | +|---|---| +| `[environment].network_mode = "no-network"` | The container gets no network | +| `[environment].cpus` / `memory_mb` / `storage_mb` | Real container limits | +| `[environment].workdir` | Overrides the image's `WORKDIR` | +| `[agent].user` / `[verifier].user` | That phase runs as the named account | +| `network_mode = "allowlist"`, `gpus` | **Refused** — needs a filtering proxy / accelerators this backend does not provide. Grade with `harbor run`. | + +A task whose phases disagree (say a `public` agent and a `no-network` verifier) +gets the **restrictive** setting for the whole episode: a container has one +network, and resolving the conflict permissively would hand a sandboxed +verifier the internet. + ## The task format ```text @@ -161,8 +185,12 @@ poison a training run. `exec`, `read` and `write` are the agent's action space. `evaluate` and `solve` are training-orchestration controls: they decide when an episode ends and can hand over the answer, so they belong on the infrastructure side of OpenEnv's -[dual API boundary](https://github.com/huggingface/OpenEnv/blob/main/rfcs/001-architecture.md) -and are never exposed to the agent. +[dual API boundary](https://github.com/huggingface/OpenEnv/blob/main/rfcs/001-architecture.md). +Set `HARBOR_ALLOW_CONTROL_ACTIONS=0` to have the server refuse them outright, +for deployments where a policy can reach the same socket. + +`evaluate` ends the episode. Every later action is refused and keeps reporting +`done=True` — the episode never returns to a running state without `reset()`. `read` and `write` are confined to the working directory, so an agent cannot reach `/tests` or `/solution`. The verifier log directory is also cleared @@ -235,7 +263,8 @@ A verifier that hardcodes `/logs/verifier` still works in `docker` mode; in | Variable | Default | Meaning | |----------|---------|---------| | `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//[@rev]` | -| `HARBOR_MODE` | `local` | `local` or `docker` | +| `HARBOR_MODE` | `docker` | `docker` or `local` | +| `HARBOR_ALLOW_CONTROL_ACTIONS` | `1` | Accept `evaluate`/`solve`; set `0` for agent-facing deployments | | `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none | | `HARBOR_COMMAND_TIMEOUT_S` | `120` | Timeout for agent `exec` actions | | `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode | @@ -261,7 +290,7 @@ docker run --rm -p 8000:8000 \ ``` Hugging Face Spaces cannot run Docker-in-Docker, so a Space serves `local` mode -and therefore self-contained tasks. +and therefore self-contained tasks that declare no restrictive policies. ## Examples diff --git a/envs/harbor_env/examples/validate_taskset.py b/envs/harbor_env/examples/validate_taskset.py index ab3cdb0ef..04f726641 100644 --- a/envs/harbor_env/examples/validate_taskset.py +++ b/envs/harbor_env/examples/validate_taskset.py @@ -30,6 +30,7 @@ from harbor_env import HarborAction from harbor_env.server import HarborEnvironment +from harbor_env.server.harbor_env_environment import DEFAULT_MODE #: A task whose oracle scores below this is treated as broken. @@ -75,7 +76,16 @@ def main() -> int: parser.add_argument( "--tasks", default=None, help="task directory or hf://datasets//" ) - parser.add_argument("--mode", default="local", choices=["local", "docker"]) + parser.add_argument( + "--mode", + default=DEFAULT_MODE, + choices=["docker", "local"], + help=( + f"sandbox backend (default: {DEFAULT_MODE}). `local` needs no Docker but " + "only runs self-contained tasks that declare no network, resource or user " + "policy." + ), + ) parser.add_argument("--limit", type=int, default=None, help="stop after N tasks") args = parser.parse_args() diff --git a/envs/harbor_env/server/Dockerfile b/envs/harbor_env/server/Dockerfile index c78096d9d..233133add 100644 --- a/envs/harbor_env/server/Dockerfile +++ b/envs/harbor_env/server/Dockerfile @@ -62,6 +62,9 @@ ENV ENABLE_WEB_INTERFACE=true # Point at your own task set with `-e HARBOR_TASKS_DIR=...`; the default serves # the bundled example task so the image is useful out of the box. +# The library default is `docker`. Inside this image there is no daemon unless +# the host socket is mounted, so the image ships `local` and the docs show the +# `-e HARBOR_MODE=docker -v /var/run/docker.sock:...` invocation for real task sets. ENV HARBOR_MODE=local HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ diff --git a/envs/harbor_env/server/app.py b/envs/harbor_env/server/app.py index 1d9906d0b..3a1265362 100644 --- a/envs/harbor_env/server/app.py +++ b/envs/harbor_env/server/app.py @@ -15,11 +15,12 @@ | Variable | Default | Meaning | | ------------------------- | ------------------ | ---------------------------------------------------------- | | `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//` | -| `HARBOR_MODE` | `local` | Sandbox backend: `local` or `docker` | +| `HARBOR_MODE` | `docker` | Sandbox backend: `docker` or `local` | | `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none | | `HARBOR_COMMAND_TIMEOUT_S`| `120` | Timeout for agent `exec` actions | | `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode | | `MAX_CONCURRENT_ENVS` | `8` | Concurrent WebSocket sessions | +| `HARBOR_ALLOW_CONTROL_ACTIONS` | `1` | Accept `evaluate` / `solve`; set `0` for agent-facing runs | """ import os @@ -30,18 +31,23 @@ from harbor_env.models import HarborAction, HarborObservation from openenv.core.env_server.http_server import create_app - from .harbor_env_environment import DEFAULT_COMMAND_TIMEOUT_S, HarborEnvironment + from .harbor_env_environment import ( + DEFAULT_COMMAND_TIMEOUT_S, + DEFAULT_MODE, + HarborEnvironment, + ) except ImportError: # Standalone imports (when environment is standalone with openenv from pip) from models import HarborAction, HarborObservation from openenv.core.env_server.http_server import create_app from server.harbor_env_environment import ( DEFAULT_COMMAND_TIMEOUT_S, + DEFAULT_MODE, HarborEnvironment, ) -_MODE = (os.getenv("HARBOR_MODE") or "local").lower() +_MODE = (os.getenv("HARBOR_MODE") or DEFAULT_MODE).lower() def _build_environment() -> HarborEnvironment: diff --git a/envs/harbor_env/server/harbor_env_environment.py b/envs/harbor_env/server/harbor_env_environment.py index 5c69fb1be..e6cf5e02d 100644 --- a/envs/harbor_env/server/harbor_env_environment.py +++ b/envs/harbor_env/server/harbor_env_environment.py @@ -27,7 +27,12 @@ # Support both in-repo and standalone imports try: # In-repo imports (when running from OpenEnv repository) - from harbor_env.models import HarborAction, HarborObservation, HarborState + from harbor_env.models import ( + CONTROL_ACTIONS, + HarborAction, + HarborObservation, + HarborState, + ) from harbor_env.server.sandbox import ( create_sandbox, ExecResult, @@ -38,7 +43,12 @@ from harbor_env.server.task import HarborTask, resolve_task_source, TaskCatalog except ImportError: # Standalone imports (when environment is standalone with openenv from pip) - from models import HarborAction, HarborObservation, HarborState + from models import ( + CONTROL_ACTIONS, + HarborAction, + HarborObservation, + HarborState, + ) from sandbox import ( create_sandbox, ExecResult, @@ -53,10 +63,25 @@ DEFAULT_COMMAND_TIMEOUT_S = 120.0 +#: Sandbox backend used when `HARBOR_MODE` is unset. Docker is the faithful +#: backend and the only one that can enforce a task's network, resource and +#: user policies, so it is the default; `local` is an explicit opt-in for +#: Docker-less hosts such as Hugging Face Spaces. +DEFAULT_MODE = "docker" + #: Upper bound on how many task ids [`HarborState.available_tasks`] carries, so #: a catalog with thousands of tasks does not bloat every state response. MAX_LISTED_TASKS = 200 + +def _env_flag(name: str, default: bool) -> bool: + """Read a boolean environment variable.""" + raw = os.getenv(name) + if raw is None: + return default + return raw.strip().lower() not in {"0", "false", "no", "off", ""} + + _ActionHandler = Callable[[HarborAction, Sandbox, HarborTask], HarborObservation] @@ -82,6 +107,13 @@ class HarborEnvironment(Environment[HarborAction, HarborObservation, HarborState command_timeout_s (`float`, *optional*, defaults to `120.0`): Timeout applied to agent `exec` actions. The verifier and the oracle instead use the timeouts declared in `task.toml`. + allow_control_actions (`bool`, *optional*, defaults to `True`): + Whether `evaluate` and `solve` are accepted. They are training + controls, not agent actions — set this to `False` (or + `HARBOR_ALLOW_CONTROL_ACTIONS=0`) when the same socket is reachable + by a policy, so the split is enforced by the server rather than by + convention. A run that disables them has no way to score itself, so + it is only useful for agent-facing deployments. sandbox_factory (`Callable[[str], Sandbox]`, *optional*): Builds the sandbox for a mode. Injected by tests; defaults to `sandbox.create_sandbox`. @@ -107,11 +139,17 @@ def __init__( mode: 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[[str], Sandbox] | None = None, ) -> None: super().__init__() - self.mode = (mode or os.getenv("HARBOR_MODE") or "local").lower() + self.mode = (mode or os.getenv("HARBOR_MODE") or DEFAULT_MODE).lower() self.command_timeout_s = command_timeout_s + self.allow_control_actions = ( + allow_control_actions + if allow_control_actions is not None + else _env_flag("HARBOR_ALLOW_CONTROL_ACTIONS", default=True) + ) self.default_task_id = ( default_task_id or os.getenv("HARBOR_DEFAULT_TASK_ID") or None ) @@ -188,7 +226,12 @@ def reset( return self._observe( action_type="reset", output="", - info={"task": task.summary(), "paths": sandbox.paths.as_env()}, + info={ + "task": task.summary(), + # Agent-visible paths only — the observation reaches the policy, + # and the verifier/oracle directories are not its business. + "paths": sandbox.paths.as_env(agent_visible=True), + }, ) def step( @@ -207,6 +250,20 @@ def step( self._state.last_action_type = action.action_type try: + if self._state.evaluated: + # `evaluate` ends the episode. Serving further actions would let + # a trainer keep stepping 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 " + "HARBOR_ALLOW_CONTROL_ACTIONS=0" + ) sandbox, task = self._require_episode() return self._handlers[action.action_type](action, sandbox, task) except Exception as exc: @@ -218,6 +275,9 @@ def step( output="", success=False, error=str(exc), + # A terminated episode stays terminated — never walk done back. + done=self._state.evaluated, + reward=None, ) @property @@ -244,6 +304,8 @@ def _do_exec( action.command, timeout_s=action.timeout_s or self.command_timeout_s, env=sandbox.task_env, + user=sandbox.agent_user, + agent_visible=True, ) return self._from_exec("exec", result) diff --git a/envs/harbor_env/server/sandbox.py b/envs/harbor_env/server/sandbox.py index 7f5a5edfa..06e88ff58 100644 --- a/envs/harbor_env/server/sandbox.py +++ b/envs/harbor_env/server/sandbox.py @@ -42,10 +42,14 @@ try: # In-repo import (PYTHONPATH=src:envs) from harbor_env.server.reward import read_reward, RewardReport - from harbor_env.server.task import HarborTask + from harbor_env.server.task import ( + HarborTask, + NETWORK_ALLOWLIST, + NETWORK_NONE, + ) except ImportError: # Standalone image layout from reward import read_reward, RewardReport - from task import HarborTask + from task import HarborTask, NETWORK_ALLOWLIST, NETWORK_NONE logger = logging.getLogger(__name__) @@ -65,6 +69,29 @@ _ENV_REFERENCE = re.compile(r"\$\{(\w+)\}|\$(\w+)") +#: Variables a subprocess genuinely needs to run. Everything else in the +#: server's environment — API keys, Hub tokens, cloud credentials — is withheld +#: from task commands, which are attacker-controlled input in every threat +#: model that matters. A task that needs a secret declares it in +#: `[environment].env`, which is resolved explicitly by `expand_env_refs`. +_ENV_PASSTHROUGH = ( + "PATH", + "HOME", + "LANG", + "LC_ALL", + "TERM", + "TMPDIR", + "SHELL", + "USER", + "SYSTEMROOT", +) + + +def _baseline_environ() -> dict[str, str]: + """The minimal environment a local subprocess starts from.""" + return {name: os.environ[name] for name in _ENV_PASSTHROUGH if name in os.environ} + + class SandboxError(RuntimeError): """Raised when a sandbox cannot be created or cannot run a task.""" @@ -100,20 +127,32 @@ def logs_verifier(self) -> str: def logs_agent(self) -> str: return posixpath.join(self.logs, "agent") - def as_env(self) -> dict[str, str]: + def as_env(self, *, agent_visible: bool = False) -> dict[str, str]: """Path layout as environment variables. Portable task scripts should prefer these over hardcoded absolute paths so the same `tests/test.sh` runs under `harbor run` and under [`LocalSandbox`]; `TEST_DIR` is included for Terminal-Bench lineage scripts that expect it. + + Args: + agent_visible (`bool`, *optional*, defaults to `False`): + Return only the paths an agent legitimately needs. The verifier + and oracle directories are withheld: they are where the grading + logic and the answer live, and only the verifier and oracle + themselves need to be told where they are. """ - return { + 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, - "HARBOR_AGENT_LOGS_DIR": self.logs_agent, "TEST_DIR": self.tests, } @@ -134,6 +173,10 @@ class Sandbox(ABC): #: Episode-wide variables from `[environment].env`, resolved by [`start`]. task_env: dict[str, str] + #: Account agent commands run as, from `[agent].user`. `None` means the + #: image's own default. + agent_user: str | None = None + # --- backend primitives ------------------------------------------------- @abstractmethod @@ -148,8 +191,20 @@ def exec( 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.""" + """Run `command` through `bash` and return its merged output. + + Args: + agent_visible (`bool`, *optional*, defaults to `False`): + Whether this command is the agent's. Agent commands are not told + where the verifier and oracle directories live. + user (`str`, *optional*): + Account to run as, from `[agent].user` / `[verifier].user`. + Backends that cannot switch user must reject such tasks in + [`_boot`] rather than ignore this. + """ @abstractmethod def read_text(self, path: str) -> str | None: @@ -177,6 +232,7 @@ def start(self, task: HarborTask) -> None: staged here — see [`stage_tests`] and [`stage_solution`]. """ self.task_env = expand_env_refs(task.environment_env) + self.agent_user = task.agent_user self.paths = self._boot(task) self.mkdirs(self.paths.workdir, self.paths.logs_verifier, self.paths.logs_agent) if task.seed_files: @@ -186,15 +242,22 @@ def stage_tests(self, task: HarborTask) -> None: """Copy `tests/` to `/tests`, as Harbor's harness does before verifying. Staging happens at verification time rather than at reset so the agent - never sees the verifier while it is working. + never sees the verifier while it is working. The destination is cleared + first: the agent shares the filesystem and could otherwise pre-create + files there that the real verifier would then read. """ if task.tests_dir.is_dir(): - self.upload_dir(task.tests_dir, self.paths.tests) + self._replace_dir(task.tests_dir, self.paths.tests) def stage_solution(self, task: HarborTask) -> None: """Copy `solution/` to `/solution`, as Harbor's oracle agent does.""" if task.solution_dir.is_dir(): - self.upload_dir(task.solution_dir, self.paths.solution) + self._replace_dir(task.solution_dir, self.paths.solution) + + def _replace_dir(self, source: Path, destination: str) -> None: + """Upload `source` over a freshly emptied `destination`.""" + self.exec(f"rm -rf {_quote(destination)}", timeout_s=60.0, workdir="/") + self.upload_dir(source, destination) def run_verifier(self, task: HarborTask) -> ExecResult: """Stage `tests/` and run `tests/test.sh`. @@ -219,6 +282,7 @@ def run_verifier(self, task: HarborTask) -> ExecResult: f"bash {_quote(script)}", timeout_s=task.verifier_timeout_s, env={**self.task_env, **expand_env_refs(task.verifier_env)}, + user=task.verifier_user, ) def run_solution(self, task: HarborTask) -> ExecResult: @@ -237,6 +301,7 @@ def run_solution(self, task: HarborTask) -> ExecResult: f"bash {_quote(script)}", timeout_s=task.agent_timeout_s, env=self.task_env, + user=task.agent_user, ) def reward_report(self) -> RewardReport: @@ -313,6 +378,28 @@ def _boot(self, task: HarborTask) -> SandboxPaths: "Run the server with HARBOR_MODE=docker, or use a task that ships its " "files in environment/." ) + # Fail closed on anything this backend cannot actually enforce. A task + # that asked for no-network, a CPU cap or a dedicated user has made a + # statement about how it must be graded; running it anyway under the + # server's own account would quietly produce a result the task never + # sanctioned. + unenforceable: list[str] = [] + if task.network.restricted: + unenforceable.append( + f"network_mode={sorted(task.network.modes - {'public'})}" + ) + if task.resources.declared: + unenforceable.append("resource limits") + if task.agent_user or task.verifier_user: + unenforceable.append("a declared user") + if unenforceable: + raise SandboxError( + f"task {task.task_id!r} declares {', '.join(unenforceable)}, which the " + "local backend cannot enforce — it runs subprocesses as the server's " + "own user with the host's network. Run the server with " + "HARBOR_MODE=docker." + ) + self._root.mkdir(parents=True, exist_ok=True) return SandboxPaths( workdir=str(self._root / "workspace"), @@ -328,11 +415,18 @@ def exec( timeout_s: float, env: dict[str, str] | None = None, workdir: str | None = None, + user: str | None = None, + agent_visible: bool = False, ) -> ExecResult: + if user: # pragma: no cover - _boot rejects these tasks up front + raise SandboxError( + "the local backend cannot run commands as another user; " + "use HARBOR_MODE=docker" + ) cwd = Path(workdir or self.paths.workdir) cwd.mkdir(parents=True, exist_ok=True) - process_env = dict(os.environ) - process_env.update(self.paths.as_env()) + process_env = _baseline_environ() + process_env.update(self.paths.as_env(agent_visible=agent_visible)) process_env.update(env or {}) # Keep the task's tree free of interpreter droppings. process_env.setdefault("PYTHONDONTWRITEBYTECODE", "1") @@ -430,6 +524,7 @@ def __init__( self._container = None self._image = "" self._has_timeout: bool | None = None + self._agent_user: str | None = None @property def image(self) -> str: @@ -446,8 +541,12 @@ def _boot(self, task: HarborTask) -> SandboxPaths: environment=dict(self.task_env), labels={"openenv.env": "harbor_env", "openenv.task": task.task_id}, auto_remove=False, + **_container_limits(task), + ) + self._agent_user = task.agent_user + return SandboxPaths( + workdir=task.declared_workdir or self._image_workdir(client) ) - return SandboxPaths(workdir=self._image_workdir(client)) def exec( self, @@ -456,15 +555,18 @@ def exec( timeout_s: float, env: dict[str, str] | None = None, workdir: str | None = None, + user: str | None = None, + agent_visible: bool = False, ) -> ExecResult: container = self._require_container() - process_env = dict(self.paths.as_env()) + process_env = dict(self.paths.as_env(agent_visible=agent_visible)) process_env.update(env or {}) wrapped = self._with_timeout(command, timeout_s) exit_code, output = container.exec_run( cmd=["bash", "-c", wrapped], workdir=workdir or self.paths.workdir, environment=process_env, + user=user or "", demux=False, ) text = output.decode("utf-8", errors="replace") if output else "" @@ -576,6 +678,57 @@ def _require_container(self): return self._container +def _container_limits(task: HarborTask) -> dict[str, object]: + """Translate the task's declared policies into `containers.run` kwargs. + + Raises: + [`SandboxError`]: If the task asks for a policy this backend cannot + enforce faithfully. Failing closed matters more than breadth here: + 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] = {} + + modes = task.network.modes + if NETWORK_ALLOWLIST in modes: + raise SandboxError( + f"task {task.task_id!r} declares network_mode='allowlist' " + f"(hosts: {list(task.network.allowed_hosts) or 'unspecified'}), which " + "needs a filtering proxy this backend does not run. Grade it with " + "`harbor run`, which implements the allowlist." + ) + if modes == {NETWORK_NONE}: + kwargs["network_mode"] = "none" + elif NETWORK_NONE in modes: + # Per-phase split: one phase wants isolation, another wants the network. + # A container has a single network, so honouring both is impossible — + # take the restrictive one rather than the permissive one. + logger.warning( + "task %s asks for different network modes per phase (%s); applying the " + "most restrictive (no-network) for the whole episode", + task.task_id, + sorted(modes), + ) + kwargs["network_mode"] = "none" + + limits = task.resources + if limits.cpus is not None: + # Docker expresses CPU count as a quota against a 100ms period. + kwargs["cpu_period"] = 100_000 + kwargs["cpu_quota"] = int(limits.cpus * 100_000) + if limits.memory_mb is not None: + kwargs["mem_limit"] = f"{limits.memory_mb}m" + if limits.storage_mb is not None: + kwargs["storage_opt"] = {"size": f"{limits.storage_mb}m"} + if limits.gpus is not None: + raise SandboxError( + f"task {task.task_id!r} requests {limits.gpus} GPU(s); this backend does " + "not allocate accelerators. Grade it with `harbor run`." + ) + return kwargs + + def create_sandbox(mode: str, **kwargs) -> Sandbox: """Instantiate the sandbox backend named by `mode`. diff --git a/envs/harbor_env/server/task.py b/envs/harbor_env/server/task.py index 6e9e96d6e..566a47c3a 100644 --- a/envs/harbor_env/server/task.py +++ b/envs/harbor_env/server/task.py @@ -77,6 +77,87 @@ class TaskFormatError(ValueError): """Raised when a directory is not a well-formed Harbor task.""" +#: Harbor's network policies, from `[environment].network_mode` and the +#: per-phase `[agent]` / `[verifier]` overrides. +NETWORK_NONE = "no-network" +NETWORK_PUBLIC = "public" +NETWORK_ALLOWLIST = "allowlist" + +_NETWORK_MODES = frozenset({NETWORK_NONE, NETWORK_PUBLIC, NETWORK_ALLOWLIST}) + + +@dataclass(frozen=True) +class NetworkPolicy: + """What network a task's phases are allowed to reach. + + Harbor declares a baseline in `[environment]` and lets `[agent]` and + `[verifier]` narrow it. A task that asks for `no-network` is usually + testing offline behaviour, so granting it the daemon's default bridge is + both a wrong result and an escape hatch. + + Args: + baseline (`str`, *optional*, defaults to `"public"`): + `[environment].network_mode`. + agent (`str`, *optional*): + `[agent].network_mode`, when the task overrides the baseline. + verifier (`str`, *optional*): + `[verifier].network_mode`, when the task overrides the baseline. + allowed_hosts (`tuple[str, ...]`): + Hosts named by an `allowlist` policy. + """ + + baseline: str = NETWORK_PUBLIC + agent: str | None = None + verifier: str | None = None + allowed_hosts: tuple[str, ...] = () + + def for_phase(self, phase: str) -> str: + """The effective mode for `"agent"` or `"verifier"`.""" + override = self.agent if phase == "agent" else self.verifier + return override or self.baseline + + @property + def modes(self) -> frozenset[str]: + """Every mode this task can ask for, across all phases.""" + return frozenset( + {self.for_phase("agent"), self.for_phase("verifier"), self.baseline} + ) + + @property + def restricted(self) -> bool: + """Whether any phase asks for something other than open internet.""" + return bool(self.modes - {NETWORK_PUBLIC}) + + +@dataclass(frozen=True) +class ResourceLimits: + """`[environment]` resource caps, as Harbor spells them. + + Args: + cpus (`int`, *optional*): + `[environment].cpus`. + memory_mb (`int`, *optional*): + `[environment].memory_mb`. + storage_mb (`int`, *optional*): + `[environment].storage_mb`. + gpus (`int`, *optional*): + `[environment].gpus`. + """ + + cpus: int | None = None + memory_mb: int | None = None + storage_mb: int | None = None + gpus: int | None = None + + @property + def declared(self) -> bool: + """Whether the task asked for any limit at all.""" + return any( + value is not None + for value in (self.cpus, self.memory_mb, self.storage_mb, self.gpus) + ) + + @dataclass(frozen=True) class HarborTask: """An immutable view of one Harbor task directory. @@ -112,6 +193,17 @@ class HarborTask: `[environment].build_timeout_sec`. os_name (`str`): `[environment].os`. Only `"linux"` is supported here. + network ([`NetworkPolicy`]): + Baseline `[environment]` network policy, and the per-phase + `[agent]` / `[verifier]` overrides Harbor allows. + resources ([`ResourceLimits`]): + `[environment].cpus` / `memory_mb` / `storage_mb` / `gpus`. + agent_user (`str` or `None`): + `[agent].user` — the account agent commands run as. + verifier_user (`str` or `None`): + `[verifier].user` — the account the verifier runs as. + declared_workdir (`str` or `None`): + `[environment].workdir`, which overrides the image's `WORKDIR`. """ task_id: str @@ -128,6 +220,11 @@ class HarborTask: verifier_timeout_s: float = DEFAULT_VERIFIER_TIMEOUT_S build_timeout_s: float = DEFAULT_BUILD_TIMEOUT_S os_name: str = "linux" + network: NetworkPolicy = field(default_factory=lambda: NetworkPolicy()) + resources: ResourceLimits = field(default_factory=lambda: ResourceLimits()) + agent_user: str | None = None + verifier_user: str | None = None + declared_workdir: str | None = None # --- directory layout --------------------------------------------------- @@ -273,16 +370,33 @@ def load( environment.get("build_timeout_sec"), DEFAULT_BUILD_TIMEOUT_S ), os_name=os_name, + network=_network_policy(config, environment), + resources=ResourceLimits( + cpus=_positive_int(environment.get("cpus")), + memory_mb=_positive_int(environment.get("memory_mb")), + storage_mb=_positive_int(environment.get("storage_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, ) def summary(self) -> dict[str, Any]: - """A JSON-serializable digest, surfaced in observations and state.""" + """A JSON-serializable digest, surfaced in observations and state. + + Deliberately omits [`path`]: the observation reaches the agent, and + naming the task directory on the server would point straight at + `solution/` and `tests/`. [`HarborState.task_path`] still carries it for + training orchestration, which is on the infrastructure side. + """ return { "task_id": self.task_id, "name": self.name, "description": self.description, "schema_version": self.schema_version, - "path": str(self.path), "needs_image": self.needs_image, "docker_image": self.docker_image, "has_verifier": self.test_script is not None, @@ -455,6 +569,63 @@ def _timeout(config: dict[str, Any], section: str, fallback: float) -> float: return _positive_float(_table(config, section).get("timeout_sec"), fallback) +def _network_policy( + config: dict[str, Any], environment: dict[str, Any] +) -> NetworkPolicy: + """Read the baseline policy plus the per-phase overrides Harbor allows. + + `allow_internet` is Harbor's deprecated spelling; it is still honoured so + older tasks are not silently granted more network than they asked for. + """ + baseline = _network_mode(environment.get("network_mode")) + if baseline is None: + allow_internet = environment.get("allow_internet") + if allow_internet is False: + baseline = NETWORK_NONE + else: + baseline = NETWORK_PUBLIC + + hosts = environment.get("allowed_hosts") + allowed = tuple(str(h) for h in hosts) if isinstance(hosts, list) else () + return NetworkPolicy( + baseline=baseline, + agent=_network_mode(_table(config, "agent").get("network_mode")), + verifier=_network_mode(_table(config, "verifier").get("network_mode")), + allowed_hosts=allowed, + ) + + +def _network_mode(value: Any) -> str | None: + """Normalize a declared mode, rejecting anything we do not understand. + + An unrecognized mode must not silently degrade to `public` — that is the + exact failure this parsing exists to prevent. + """ + if value is None: + return None + mode = str(value).strip().lower() + if mode not in _NETWORK_MODES: + raise TaskFormatError( + f"unknown network_mode {value!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 _positive_float(value: Any, fallback: float) -> float: try: parsed = float(value) # type: ignore[arg-type] diff --git a/tests/envs/test_harbor_env.py b/tests/envs/test_harbor_env.py index 1d2767885..a712acfb2 100644 --- a/tests/envs/test_harbor_env.py +++ b/tests/envs/test_harbor_env.py @@ -13,6 +13,7 @@ import json import tarfile import textwrap +from dataclasses import replace from pathlib import Path import pytest @@ -34,8 +35,18 @@ TaskFormatError, ) from harbor_env.server.reward import read_reward -from harbor_env.server.sandbox import expand_env_refs, resolve_within, SandboxPaths -from harbor_env.server.task import BUNDLED_TASKS_DIR, resolve_task_source +from harbor_env.server.sandbox import ( + _container_limits, + expand_env_refs, + resolve_within, + SandboxPaths, +) +from harbor_env.server.task import ( + BUNDLED_TASKS_DIR, + NetworkPolicy, + ResourceLimits, + resolve_task_source, +) from openenv.core.env_server.serialization import serialize_observation @@ -450,7 +461,9 @@ def test_action_types_partition_into_agent_and_control() -> None: a new action type that nobody classified would silently read as agent-reachable. """ - handled = set(HarborEnvironment(tasks=str(BUNDLED_TASKS_DIR))._handlers) + handled = set( + HarborEnvironment(tasks=str(BUNDLED_TASKS_DIR), mode="local")._handlers + ) assert AGENT_ACTIONS | CONTROL_ACTIONS == handled assert not (AGENT_ACTIONS & CONTROL_ACTIONS) @@ -512,7 +525,7 @@ def test_local_sandbox_cleans_up_its_root(tmp_path: Path) -> None: @pytest.fixture def env(): - environment = HarborEnvironment() + environment = HarborEnvironment(mode="local") yield environment environment.close() @@ -623,7 +636,7 @@ def test_unscorable_episode_reports_no_reward(tmp_path: Path) -> None: seed_files={"noop.txt": "hi\n"}, test_script="#!/bin/bash\necho 'graded nothing'\n", ) - environment = HarborEnvironment(tasks=str(tmp_path)) + environment = HarborEnvironment(tasks=str(tmp_path), mode="local") try: environment.reset(task_id="silent") obs = environment.step(HarborAction(action_type="evaluate")) @@ -639,7 +652,7 @@ def test_unscorable_episode_reports_no_reward(tmp_path: Path) -> None: def test_missing_verifier_is_reported(tmp_path: Path) -> None: write_task(tmp_path, "ungraded", seed_files={"a.txt": "x\n"}) - environment = HarborEnvironment(tasks=str(tmp_path)) + environment = HarborEnvironment(tasks=str(tmp_path), mode="local") try: environment.reset(task_id="ungraded") obs = environment.step(HarborAction(action_type="evaluate")) @@ -657,7 +670,7 @@ def test_absolute_path_verifier_gets_an_actionable_hint(tmp_path: Path) -> None: seed_files={"a.txt": "x\n"}, test_script="#!/bin/bash\necho 1.0 > /logs/verifier/reward.txt\n", ) - environment = HarborEnvironment(tasks=str(tmp_path)) + environment = HarborEnvironment(tasks=str(tmp_path), mode="local") try: environment.reset(task_id="hardcoded") obs = environment.step(HarborAction(action_type="evaluate")) @@ -678,7 +691,7 @@ def test_step_before_reset_is_reported(env: HarborEnvironment) -> None: def test_reset_without_a_task_id_lists_the_options(tmp_path: Path) -> None: write_task(tmp_path, "one") write_task(tmp_path, "two") - environment = HarborEnvironment(tasks=str(tmp_path)) + environment = HarborEnvironment(tasks=str(tmp_path), mode="local") try: with pytest.raises(ValueError, match="needs a task_id"): environment.reset() @@ -767,3 +780,263 @@ def test_client_step_payload_round_trips(tmp_path: Path) -> None: payload = HarborEnv(base_url="http://localhost:8000")._step_payload(action) assert HarborAction.model_validate(payload) == action + + +# --------------------------------------------------------------------------- +# task policies: network, resources, user +# --------------------------------------------------------------------------- + +_POLICY_TASK = textwrap.dedent( + """ + schema_version = "1.4" + + [task] + name = "tests/policy" + description = "fixture" + + [environment] + network_mode = "no-network" + cpus = 2 + memory_mb = 512 + + [agent] + user = "agent" + + [verifier] + user = "root" + """ +).strip() + + +def test_task_parses_network_resource_and_user_policies(tmp_path: Path) -> None: + write_task(tmp_path, "policy", config=_POLICY_TASK, seed_files={"a.py": "x = 1\n"}) + task = TaskCatalog(tmp_path).get("policy") + + assert task.network.baseline == "no-network" + assert task.network.restricted + assert task.resources.cpus == 2 + assert task.resources.memory_mb == 512 + assert task.agent_user == "agent" + assert task.verifier_user == "root" + + +def test_unknown_network_mode_is_rejected_not_downgraded(tmp_path: Path) -> None: + """Silently treating an unrecognized mode as `public` is the bug to avoid.""" + config = _POLICY_TASK.replace('network_mode = "no-network"', 'network_mode = "vpn"') + write_task(tmp_path, "weird", config=config, seed_files={"a.py": "x = 1\n"}) + + with pytest.raises(TaskFormatError, match="network_mode"): + TaskCatalog(tmp_path).get("weird") + + +def test_deprecated_allow_internet_false_still_restricts(tmp_path: Path) -> None: + config = textwrap.dedent( + """ + schema_version = "1.4" + + [task] + name = "tests/legacy" + + [environment] + allow_internet = false + """ + ).strip() + write_task(tmp_path, "legacy", config=config, seed_files={"a.py": "x = 1\n"}) + + assert TaskCatalog(tmp_path).get("legacy").network.baseline == "no-network" + + +def test_local_backend_refuses_policies_it_cannot_enforce(tmp_path: Path) -> None: + """Fail closed: a no-network task must not silently get the host network.""" + write_task(tmp_path, "policy", config=_POLICY_TASK, seed_files={"a.py": "x = 1\n"}) + task = TaskCatalog(tmp_path).get("policy") + sandbox = LocalSandbox() + + with pytest.raises(SandboxError) as excinfo: + sandbox.start(task) + + message = str(excinfo.value) + assert "network_mode" in message + assert "resource limits" in message + assert "a declared user" in message + assert "HARBOR_MODE=docker" in message + sandbox.close() + + +def test_docker_limits_translate_harbor_policies() -> None: + """no-network → an isolated network; cpus/memory → real container caps.""" + task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID) + restricted = replace( + task, + network=NetworkPolicy(baseline="no-network"), + resources=ResourceLimits(cpus=2, memory_mb=512), + ) + + limits = _container_limits(restricted) + + assert limits["network_mode"] == "none" + assert limits["cpu_quota"] == 200_000 + assert limits["cpu_period"] == 100_000 + assert limits["mem_limit"] == "512m" + # An unrestricted task gets no constraints imposed on it. + assert _container_limits(task) == {} + + +def test_allowlist_and_gpu_tasks_are_refused_rather_than_approximated() -> None: + task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID) + + with pytest.raises(SandboxError, match="allowlist"): + _container_limits(replace(task, network=NetworkPolicy(baseline="allowlist"))) + with pytest.raises(SandboxError, match="GPU"): + _container_limits(replace(task, resources=ResourceLimits(gpus=1))) + + +def test_mixed_phase_network_modes_take_the_restrictive_one() -> None: + """One container, one network — never resolve the conflict permissively.""" + task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID) + mixed = replace( + task, network=NetworkPolicy(baseline="public", verifier="no-network") + ) + + assert _container_limits(mixed)["network_mode"] == "none" + + +# --------------------------------------------------------------------------- +# the agent's view of the server +# --------------------------------------------------------------------------- + + +def test_reset_does_not_disclose_the_task_directory(env: HarborEnvironment) -> None: + """The observation reaches the agent; the task path points at solution/.""" + observation = env.reset(task_id=EXAMPLE_TASK_ID) + + assert "path" not in observation.info["task"] + assert str(BUNDLED_TASKS_DIR) not in json.dumps(observation.info) + # Orchestration still gets it — state is infrastructure-side. + assert env.state.task_path.endswith(EXAMPLE_TASK_ID) + + +def test_local_exec_does_not_inherit_server_secrets( + env: HarborEnvironment, monkeypatch: pytest.MonkeyPatch +) -> None: + """Task commands are attacker-controlled; the server's tokens are not theirs.""" + monkeypatch.setenv("HF_TOKEN", "hf_super_secret") + env.reset(task_id=EXAMPLE_TASK_ID) + + observation = env.step(HarborAction(action_type="exec", command="env")) + + assert "hf_super_secret" not in observation.output + # PATH still gets through, or nothing would run at all. + assert "PATH=" in observation.output + + +# --------------------------------------------------------------------------- +# episode termination and the control-action split +# --------------------------------------------------------------------------- + + +def test_episode_stays_terminal_after_evaluate(env: HarborEnvironment) -> None: + """`done` must never walk back from True to False.""" + env.reset(task_id=EXAMPLE_TASK_ID) + graded = env.step(HarborAction(action_type="evaluate")) + assert graded.done + + for action in ( + HarborAction(action_type="exec", command="ls"), + HarborAction(action_type="read", path="stats.py"), + HarborAction(action_type="evaluate"), + ): + observation = env.step(action) + assert observation.done, f"{action.action_type} reported done=False" + assert not observation.success + assert observation.reward is None + assert "episode ended" in observation.error + + +def test_control_actions_can_be_refused_server_side(tmp_path: Path) -> None: + """The agent/orchestration split, enforced rather than documented.""" + environment = HarborEnvironment(mode="local", allow_control_actions=False) + try: + environment.reset(task_id=EXAMPLE_TASK_ID) + + for action_type in sorted(CONTROL_ACTIONS): + observation = environment.step(HarborAction(action_type=action_type)) + assert not observation.success + assert "orchestration control" in observation.error + assert not observation.done + + # Agent actions are unaffected. + assert environment.step(HarborAction(action_type="exec", command="ls")).success + finally: + environment.close() + + +def test_agent_commands_are_not_told_where_the_verifier_lives( + env: HarborEnvironment, +) -> None: + """`/tests` holds the grading logic and `/solution` holds the answer. + + Exporting their locations into the agent's environment hands a policy the + map even when the directories are not staged yet. + """ + env.reset(task_id=EXAMPLE_TASK_ID) + + observation = env.step( + HarborAction( + action_type="exec", + command="echo [$HARBOR_SOLUTION_DIR][$HARBOR_TESTS_DIR][$HARBOR_LOGS_DIR]", + ) + ) + + assert observation.output.strip() == "[][][]" + # The agent still knows where it is working. + assert ( + "HARBOR_WORKDIR" + in env.step(HarborAction(action_type="exec", command="env")).output + ) + + +def test_verifier_still_receives_its_paths(env: HarborEnvironment) -> None: + """Withholding paths from the agent must not break the verifier.""" + env.reset(task_id=EXAMPLE_TASK_ID) + + graded = env.step(HarborAction(action_type="evaluate")) + + assert graded.reward == pytest.approx(BUGGY_REWARD) + assert graded.info["reward_source"] == "reward.json" + + +def test_planted_files_do_not_survive_into_the_staged_verifier(tmp_path: Path) -> None: + """The agent shares the filesystem and can pre-create the tests directory. + + Anything it leaves there must be wiped before the real `tests/` lands, or a + policy could plant a file the verifier goes on to read. + """ + write_task( + tmp_path, + "plantable", + seed_files={"a.py": "x = 1\n"}, + test_script=( + "#!/bin/bash\n" + 'mkdir -p "$HARBOR_LOGS_DIR"\n' + 'if [ -f "$HARBOR_TESTS_DIR/planted.txt" ]; then\n' + ' echo "1.0" > "$HARBOR_LOGS_DIR/reward.txt"\n' + "else\n" + ' echo "0.0" > "$HARBOR_LOGS_DIR/reward.txt"\n' + "fi\n" + "exit 0\n" + ), + ) + environment = HarborEnvironment(tasks=str(tmp_path), mode="local") + try: + environment.reset(task_id="plantable") + tests_dir = Path(environment._sandbox.paths.tests) + tests_dir.mkdir(parents=True, exist_ok=True) + (tests_dir / "planted.txt").write_text("gotcha", encoding="utf-8") + + graded = environment.step(HarborAction(action_type="evaluate")) + + assert graded.reward == 0.0, "a planted file survived into the verifier" + assert not (tests_dir / "planted.txt").exists() + finally: + environment.close() From 270a4579268c0df66f22caaeeece1031626a6d86 Mon Sep 17 00:00:00 2001 From: Govind Kamtamneni Date: Wed, 29 Jul 2026 06:57:04 -0700 Subject: [PATCH 4/7] fix(harbor_env): give a declared user ownership of what it must write Self-review of the policy work found that honouring [agent].user broke every task that declares one. The Harbor directories are created by the image's default account, so an agent running as `nobody` inherited a working directory it could not write to: `touch probe.txt` returned Permission denied, and every `write` action would have failed. The same applied to [verifier].user and /logs/verifier, which would have left those tasks unscorable. Sandbox.chown() now hands the working directory and agent log dir to the agent user at start, and the verifier log and tests dirs to the verifier user before the verifier runs. Verified against a live container: the agent is `nobody`, the workdir is writable, and the task still grades 0.6. Also notes that storage_mb needs a quota-capable storage driver; where one is absent Docker rejects the container, which is the fail-closed outcome. --- envs/harbor_env/server/sandbox.py | 31 +++++++++++++++++ tests/envs/test_harbor_env.py | 56 +++++++++++++++++++++++++++++++ 2 files changed, 87 insertions(+) diff --git a/envs/harbor_env/server/sandbox.py b/envs/harbor_env/server/sandbox.py index 06e88ff58..17aec4874 100644 --- a/envs/harbor_env/server/sandbox.py +++ b/envs/harbor_env/server/sandbox.py @@ -235,8 +235,14 @@ def start(self, task: HarborTask) -> None: self.agent_user = task.agent_user self.paths = self._boot(task) self.mkdirs(self.paths.workdir, self.paths.logs_verifier, self.paths.logs_agent) + # The directories above are created by the image's default user (root). + # A task that asks for `[agent].user` would otherwise get a working + # directory it cannot write to, which breaks every `write` action and + # any edit the agent makes. + self.chown(task.agent_user, self.paths.workdir, self.paths.logs_agent) if task.seed_files: self.upload_dir(task.environment_dir, self.paths.workdir) + self.chown(task.agent_user, self.paths.workdir) def stage_tests(self, task: HarborTask) -> None: """Copy `tests/` to `/tests`, as Harbor's harness does before verifying. @@ -277,6 +283,9 @@ def run_verifier(self, task: HarborTask) -> ExecResult: ) self.mkdirs(self.paths.logs_verifier) self.stage_tests(task) + # Same reason as the working directory: a `[verifier].user` that cannot + # write its reward file would make every 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)}", @@ -296,6 +305,7 @@ def run_solution(self, task: HarborTask) -> ExecResult: f"task {task.task_id!r} has no solution/solve.sh, so it has no oracle" ) self.stage_solution(task) + 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)}", @@ -315,6 +325,24 @@ def explain_missing_reward(self, task: HarborTask) -> str | None: del task return None + 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, which is 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)}: " + f"{result.output.strip()}" + ) + def mkdirs(self, *paths: str) -> None: """Create directories inside the sandbox. @@ -720,6 +748,9 @@ def _container_limits(task: HarborTask) -> dict[str, object]: if limits.memory_mb is not None: kwargs["mem_limit"] = f"{limits.memory_mb}m" if limits.storage_mb is not None: + # Needs a quota-capable storage driver; where one is absent Docker + # rejects the container outright, which is the fail-closed outcome we + # want rather than a silently unbounded filesystem. kwargs["storage_opt"] = {"size": f"{limits.storage_mb}m"} if limits.gpus is not None: raise SandboxError( diff --git a/tests/envs/test_harbor_env.py b/tests/envs/test_harbor_env.py index a712acfb2..6aaa458a9 100644 --- a/tests/envs/test_harbor_env.py +++ b/tests/envs/test_harbor_env.py @@ -27,6 +27,8 @@ ) from harbor_env.server import ( DockerSandbox, + ExecResult, + Sandbox, HarborEnvironment, HarborTask, LocalSandbox, @@ -1040,3 +1042,57 @@ def test_planted_files_do_not_survive_into_the_staged_verifier(tmp_path: Path) - assert not (tests_dir / "planted.txt").exists() finally: environment.close() + + +def test_declared_user_gets_ownership_of_what_it_must_write() -> None: + """`[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 — `write` fails and the + verifier cannot save its reward. Ownership is handed over explicitly. + """ + task = replace( + HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID), + agent_user="nobody", + verifier_user="nobody", + ) + sandbox = _RecordingSandbox() + + sandbox.start(task) + sandbox.run_verifier(task) + + assert ("nobody", sandbox.paths.workdir) in sandbox.chowned + assert ("nobody", sandbox.paths.logs_verifier) in sandbox.chowned + + +class _RecordingSandbox(Sandbox): + """A sandbox that records the calls the phases make, without executing.""" + + mode = "recording" + + def __init__(self) -> None: + self.paths = SandboxPaths(workdir="/app") + self.task_env = {} + self.chowned: list[tuple[str, str]] = [] + + def _boot(self, task: HarborTask) -> SandboxPaths: + return self.paths + + def exec(self, command, *, timeout_s, env=None, workdir=None, user=None, **kw): + return ExecResult(0, "") + + def chown(self, user: str | None, *paths: str) -> None: + if user: + self.chowned.extend((user, path) for path in paths) + + def read_text(self, path: str) -> str | None: + return None + + def write_text(self, path: str, content: str) -> None: + return None + + def upload_dir(self, source, destination: str) -> None: + return None + + def close(self) -> None: + return None From 96bc040169dc627f819e9d3031102f49512f6d40 Mon Sep 17 00:00:00 2001 From: Govind Kamtamneni Date: Wed, 29 Jul 2026 07:01:39 -0700 Subject: [PATCH 5/7] style: usort the harbor env tests to match the CI format pipeline --- tests/envs/test_harbor_env.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/envs/test_harbor_env.py b/tests/envs/test_harbor_env.py index 6aaa458a9..88710587b 100644 --- a/tests/envs/test_harbor_env.py +++ b/tests/envs/test_harbor_env.py @@ -28,10 +28,10 @@ from harbor_env.server import ( DockerSandbox, ExecResult, - Sandbox, HarborEnvironment, HarborTask, LocalSandbox, + Sandbox, SandboxError, TaskCatalog, TaskFormatError, @@ -46,8 +46,8 @@ from harbor_env.server.task import ( BUNDLED_TASKS_DIR, NetworkPolicy, - ResourceLimits, resolve_task_source, + ResourceLimits, ) from openenv.core.env_server.serialization import serialize_observation From dd2232b7d5024ed2c07e9e530d49b971f1f49c59 Mon Sep 17 00:00:00 2001 From: Govind Kamtamneni Date: Wed, 29 Jul 2026 07:30:12 -0700 Subject: [PATCH 6/7] fix(harbor_env): close the holes an independent review found in the hardening MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A rubber-duck pass over 592de2b2/270a4579 found that several of those fixes were incomplete, and that one of them had silently defanged an existing test. ## The oracle was still reachable in local mode Removing `path` from `HarborTask.summary()` was not enough: `HarborState` carried `task_path`, and `state` rides the same socket as `step`. A caller that could act could still read the host path and `cat /solution/…`. The field is gone. ## read/write bypassed [agent].user entirely `read_text()` ran `cat` as the image's default account and `write_text()` extracted a root-owned tar through the archive API, so a task declaring an unprivileged agent still got root's reach through those two actions. Demonstrated before the fix: a symlink in the working directory plus `read` returned `/etc/shadow`, and plus `write` created a root-owned file under `/root`. Both now run as the declared user, with writes going through the shell so the kernel applies its permissions. Re-verified against a live container — both attempts are refused and agent-written files are owned by `nobody`. ## Failed evaluation left the tests exposed and the episode running `evaluated` was set only after staging, chowning and executing, so a failure in between left `/tests` readable with `done=False`. The episode now terminates before anything that can fail. ## storage_mb was not fail-closed Docker accepts `storage_opt` on drivers that never enforce it — the review demonstrated a 64 MiB write inside a 32 MiB "limit". A task that believes it is capped and is not is worse than one told up front we cannot cap it, so this is now refused like `allowlist` and `gpus`. ## Malformed limits read as "no limit" `_positive_int` turned `0`, `-4` and `"lots"` into `None`, which meant both an unconstrained container *and* no refusal from the local backend. Invalid values are now `TaskFormatError`. ## Phase overrides did not replace the baseline `NetworkPolicy.modes` unioned the baseline unconditionally, so a task whose agent and verifier both declared `public` over a `no-network` baseline had its network disabled anyway. Only the effective per-phase modes count now. ## An existing security test had gone vacuous `test_planted_reward_files_are_discarded` planted through `$HARBOR_LOGS_DIR`, which 592de2b2 hid from agent commands — so the plant silently failed and the test passed for the wrong reason. It now uses the real path and asserts the plant landed before checking it is discarded. ## Smaller - Agent-supplied `timeout_s` is capped at the configured ceiling instead of overriding it; it arrives on the wire and was unbounded. - `validate_taskset.py` passes `allow_control_actions=True` — it *is* the orchestration, and was inheriting the deployment's flag. - The README no longer claims local mode keeps secrets from tasks. It keeps them out of the environment, but `/proc//environ` still exposes them; that is hygiene, not containment, and is now described as such. Tests: 78 (5 added). Full suite 1584 passed, 131 skipped. --- docs/source/environments/harbor.md | 16 ++- envs/harbor_env/README.md | 16 ++- envs/harbor_env/examples/validate_taskset.py | 8 +- envs/harbor_env/models.py | 3 - .../server/harbor_env_environment.py | 20 ++- envs/harbor_env/server/sandbox.py | 64 +++++++-- envs/harbor_env/server/task.py | 46 ++++-- tests/envs/test_harbor_env.py | 131 +++++++++++++++++- 8 files changed, 248 insertions(+), 56 deletions(-) diff --git a/docs/source/environments/harbor.md b/docs/source/environments/harbor.md index 4f544359f..7c6ec401b 100644 --- a/docs/source/environments/harbor.md +++ b/docs/source/environments/harbor.md @@ -58,13 +58,15 @@ HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harb | `docker` (default) | Inside the task's own image, files streamed over the Docker API | Everything — and the only backend that can enforce a task's network, resource and user policies | | `local` | Subprocesses under a per-episode directory tree | Self-contained tasks on Docker-less hosts such as Hugging Face Spaces | -> **`local` mode is a filesystem boundary, not a security boundary.** `exec` -> runs shell commands as the server's own user, so a task or a policy can read -> whatever that user can and can reach the network. It is opt-in for that -> reason. The server's own environment is *not* passed through — only `PATH`, -> `HOME` and a short allowlist — so API keys and Hub tokens held by the process -> stay out of task commands. Tasks needing a secret declare it in -> `[environment].env`. +> **`local` mode is not a security boundary.** `exec` runs shell commands as +> the server's own user, so a task or a policy can read whatever that user can +> and can reach the network. It is opt-in for that reason. +> +> The server's environment is not passed through — only `PATH`, `HOME` and a +> short allowlist — which keeps API keys out of the common case. Treat that as +> hygiene, **not** containment: on Linux a child process can still recover the +> parent's environment through `/proc//environ`. If a policy you do not +> control can reach the socket, use `docker` mode. `local` mode refuses any task whose `task.toml` declares a policy it cannot enforce — `network_mode`, `cpus`/`memory_mb`, or an `[agent].user` — rather than diff --git a/envs/harbor_env/README.md b/envs/harbor_env/README.md index 5bf69d7eb..8e20d8055 100644 --- a/envs/harbor_env/README.md +++ b/envs/harbor_env/README.md @@ -74,13 +74,15 @@ HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harb | `docker` (default) | Inside the task's own image, files streamed over the Docker API | Everything — and the only backend that can enforce a task's network, resource and user policies | | `local` | Subprocesses under a per-episode directory tree | Self-contained tasks on Docker-less hosts such as Hugging Face Spaces | -> **`local` mode is a filesystem boundary, not a security boundary.** `exec` -> runs shell commands as the server's own user, so a task or a policy can read -> whatever that user can and can reach the network. It is opt-in for that -> reason. The server's own environment is *not* passed through — only `PATH`, -> `HOME` and a short allowlist — so API keys and Hub tokens held by the process -> stay out of task commands. Tasks needing a secret declare it in -> `[environment].env`. +> **`local` mode is not a security boundary.** `exec` runs shell commands as +> the server's own user, so a task or a policy can read whatever that user can +> and can reach the network. It is opt-in for that reason. +> +> The server's environment is not passed through — only `PATH`, `HOME` and a +> short allowlist — which keeps API keys out of the common case. Treat that as +> hygiene, **not** containment: on Linux a child process can still recover the +> parent's environment through `/proc//environ`. If a policy you do not +> control can reach the socket, use `docker` mode. `local` mode refuses any task whose `task.toml` declares a policy it cannot enforce — `network_mode`, `cpus`/`memory_mb`, or an `[agent].user` — rather than diff --git a/envs/harbor_env/examples/validate_taskset.py b/envs/harbor_env/examples/validate_taskset.py index 04f726641..f9b94a8f4 100644 --- a/envs/harbor_env/examples/validate_taskset.py +++ b/envs/harbor_env/examples/validate_taskset.py @@ -89,7 +89,13 @@ def main() -> int: parser.add_argument("--limit", type=int, default=None, help="stop after N tasks") args = parser.parse_args() - env = HarborEnvironment(tasks=args.tasks, mode=args.mode) + env = HarborEnvironment( + tasks=args.tasks, + mode=args.mode, + # This script *is* the orchestration: it must be able to solve and + # grade even where the serving deployment disables those controls. + allow_control_actions=True, + ) task_ids = env.catalog.task_ids()[: args.limit] if not task_ids: print(f"no Harbor tasks found under {env.catalog.root}", file=sys.stderr) diff --git a/envs/harbor_env/models.py b/envs/harbor_env/models.py index 074f88e4c..f64edce8e 100644 --- a/envs/harbor_env/models.py +++ b/envs/harbor_env/models.py @@ -118,8 +118,6 @@ class HarborState(State): Identifier of the running task, empty before the first `reset()`. task_name (`str`): The task's `[task].name`. - task_path (`str`): - Task directory on the server. workdir (`str`): Working directory inside the sandbox. mode (`str`): @@ -141,7 +139,6 @@ class HarborState(State): task_id: str = Field(default="") task_name: str = Field(default="") - task_path: str = Field(default="") workdir: str = Field(default="") mode: str = Field(default="") available_tasks: list[str] = Field(default_factory=list) diff --git a/envs/harbor_env/server/harbor_env_environment.py b/envs/harbor_env/server/harbor_env_environment.py index e6cf5e02d..56c87dd85 100644 --- a/envs/harbor_env/server/harbor_env_environment.py +++ b/envs/harbor_env/server/harbor_env_environment.py @@ -217,7 +217,6 @@ def reset( episode_id=episode_id or str(uuid4()), task_id=task.task_id, task_name=task.name, - task_path=str(task.path), workdir=sandbox.paths.workdir, mode=sandbox.mode, ) @@ -300,9 +299,15 @@ def _do_exec( 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: an unbounded + # command would otherwise pin a training slot indefinitely. + timeout_s = min( + action.timeout_s or self.command_timeout_s, self.command_timeout_s + ) result = sandbox.exec( action.command, - timeout_s=action.timeout_s or self.command_timeout_s, + timeout_s=timeout_s, env=sandbox.task_env, user=sandbox.agent_user, agent_visible=True, @@ -314,7 +319,7 @@ def _do_read( ) -> HarborObservation: del task target = resolve_within(sandbox.paths.workdir, action.path) - content = sandbox.read_text(target) + 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) @@ -324,7 +329,7 @@ def _do_write( ) -> HarborObservation: del task target = resolve_within(sandbox.paths.workdir, action.path) - sandbox.write_text(target, action.content) + sandbox.write_text(target, action.content, user=sandbox.agent_user) return self._observe( "write", output=f"wrote {len(action.content)} bytes to {action.path}" ) @@ -334,10 +339,15 @@ def _do_evaluate( ) -> HarborObservation: """Run the task's verifier and forward its reward. Ends the episode.""" del action + # Terminate first. Staging puts the verifier's own files in the + # sandbox, so a failure anywhere below must still end the episode — + # otherwise a task whose verifier user is wrong leaves /tests readable + # with the episode still running. + self._state.evaluated = True + result = sandbox.run_verifier(task) report = sandbox.reward_report() - self._state.evaluated = True self._state.reward = report.value self._state.last_exit_code = result.exit_code diff --git a/envs/harbor_env/server/sandbox.py b/envs/harbor_env/server/sandbox.py index 17aec4874..90bfc3c69 100644 --- a/envs/harbor_env/server/sandbox.py +++ b/envs/harbor_env/server/sandbox.py @@ -26,6 +26,7 @@ from __future__ import annotations +import base64 import io import logging import os @@ -207,12 +208,25 @@ def exec( """ @abstractmethod - def read_text(self, path: str) -> str | None: - """Read a text file, returning `None` when it does not exist.""" + 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 (`str`, *optional*): + 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. + """ @abstractmethod - def write_text(self, path: str, content: str) -> None: - """Write a text file, creating parent directories as needed.""" + def write_text(self, path: str, content: str, user: str | None = None) -> None: + """Write a text file, creating parent directories as needed. + + Args: + user (`str`, *optional*): + Write as this account, so an unprivileged agent cannot create + files it could not have created with `exec`. + """ @abstractmethod def upload_dir(self, source: Path, destination: str) -> None: @@ -475,13 +489,15 @@ def exec( ) return ExecResult(completed.returncode, completed.stdout + completed.stderr) - def read_text(self, path: str) -> str | None: + def read_text(self, path: str, user: str | None = None) -> str | None: + del user # _boot refuses tasks that declare one target = Path(path) if not target.is_file(): return None return target.read_text(encoding="utf-8", errors="replace") - def write_text(self, path: str, content: str) -> None: + def write_text(self, path: str, content: str, user: str | None = None) -> None: + del user # _boot refuses tasks that declare one target = Path(path) target.parent.mkdir(parents=True, exist_ok=True) target.write_text(content, encoding="utf-8") @@ -606,11 +622,28 @@ def exec( timed_out=status == TIMEOUT_EXIT_CODE, ) - def read_text(self, path: str) -> str | None: - result = self.exec(f"cat {_quote(path)}", timeout_s=60.0) + def read_text(self, path: str, user: str | None = None) -> str | None: + 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) -> None: + def write_text(self, path: str, content: str, user: str | None = None) -> None: + if user: + # 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. Write through the shell + # as the declared user instead, so the kernel applies its + # permissions. Base64 keeps arbitrary bytes off the command line. + 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) @@ -748,10 +781,15 @@ def _container_limits(task: HarborTask) -> dict[str, object]: if limits.memory_mb is not None: kwargs["mem_limit"] = f"{limits.memory_mb}m" if limits.storage_mb is not None: - # Needs a quota-capable storage driver; where one is absent Docker - # rejects the container outright, which is the fail-closed outcome we - # want rather than a silently unbounded filesystem. - kwargs["storage_opt"] = {"size": f"{limits.storage_mb}m"} + # Docker accepts `storage_opt` on drivers that cannot honour it — the + # option lands in HostConfig and is then simply not enforced, which is + # the worst outcome: a task believes it is capped and is not. Refuse it + # rather than pretend. + raise SandboxError( + f"task {task.task_id!r} requests storage_mb={limits.storage_mb}; this " + "backend cannot guarantee a filesystem quota (Docker silently ignores " + "storage_opt on drivers without quota support). Grade it with `harbor run`." + ) if limits.gpus is not None: raise SandboxError( f"task {task.task_id!r} requests {limits.gpus} GPU(s); this backend does " diff --git a/envs/harbor_env/server/task.py b/envs/harbor_env/server/task.py index 566a47c3a..b3e3f2866 100644 --- a/envs/harbor_env/server/task.py +++ b/envs/harbor_env/server/task.py @@ -118,10 +118,14 @@ def for_phase(self, phase: str) -> str: @property def modes(self) -> frozenset[str]: - """Every mode this task can ask for, across all phases.""" - return frozenset( - {self.for_phase("agent"), self.for_phase("verifier"), self.baseline} - ) + """The effective mode of each phase. + + The baseline is deliberately *not* unioned in: when both phases override + it, the baseline never takes effect, and including it would (for + example) disable networking for a task whose agent and verifier both + asked for `public`. + """ + return frozenset({self.for_phase("agent"), self.for_phase("verifier")}) @property def restricted(self) -> bool: @@ -372,10 +376,10 @@ def load( os_name=os_name, network=_network_policy(config, environment), resources=ResourceLimits( - cpus=_positive_int(environment.get("cpus")), - memory_mb=_positive_int(environment.get("memory_mb")), - storage_mb=_positive_int(environment.get("storage_mb")), - gpus=_positive_int(environment.get("gpus")), + cpus=_positive_int(environment.get("cpus"), "cpus"), + memory_mb=_positive_int(environment.get("memory_mb"), "memory_mb"), + storage_mb=_positive_int(environment.get("storage_mb"), "storage_mb"), + gpus=_positive_int(environment.get("gpus"), "gpus"), ), agent_user=_user(_table(config, "agent").get("user")), verifier_user=_user(_table(config, "verifier").get("user")), @@ -618,12 +622,28 @@ def _user(value: Any) -> str | None: return str(value).strip() -def _positive_int(value: Any) -> int | None: - try: - parsed = int(value) # type: ignore[arg-type] - except (TypeError, ValueError): +def _positive_int(value: Any, field: str) -> int | None: + """Parse a resource limit, distinguishing "absent" from "malformed". + + Returning `None` for a bad value would read as "no limit declared", so a + typo would silently buy the task unlimited resources *and* stop the local + backend refusing it. An invalid declaration is a format error. + """ + if value is None: return None - return parsed if parsed > 0 else None + if isinstance(value, bool) or not isinstance(value, (int, float, str)): + raise TaskFormatError(f"[environment].{field} must be a positive integer") + try: + parsed = int(str(value).strip()) + except (TypeError, ValueError) as exc: + raise TaskFormatError( + f"[environment].{field} must be a positive integer, got {value!r}" + ) from exc + if parsed <= 0: + raise TaskFormatError( + f"[environment].{field} must be a positive integer, got {parsed}" + ) + return parsed def _positive_float(value: Any, fallback: float) -> float: diff --git a/tests/envs/test_harbor_env.py b/tests/envs/test_harbor_env.py index 88710587b..518f311dd 100644 --- a/tests/envs/test_harbor_env.py +++ b/tests/envs/test_harbor_env.py @@ -617,13 +617,25 @@ def test_agent_cannot_reach_the_verifier(env: HarborEnvironment) -> None: def test_planted_reward_files_are_discarded(env: HarborEnvironment) -> None: + """A reward the agent writes itself must not survive into the score. + + The path is taken from the sandbox rather than `$HARBOR_LOGS_DIR`, which is + deliberately hidden from agent commands — reading it from the environment + would make the plant fail and the test pass for the wrong reason. + """ env.reset(task_id=EXAMPLE_TASK_ID) + logs_dir = env._sandbox.paths.logs_verifier env.step( HarborAction( action_type="exec", - command='mkdir -p "$HARBOR_LOGS_DIR" && echo \'{"reward": 1.0}\' > "$HARBOR_LOGS_DIR/reward.json"', + command=( + f"mkdir -p {logs_dir!r} && " + f"echo '{{\"reward\": 1.0}}' > {logs_dir!r}/reward.json" + ), ) ) + planted = Path(logs_dir) / "reward.json" + assert planted.is_file(), "the plant itself failed; the test would be vacuous" assert env.step(HarborAction(action_type="evaluate")).reward == pytest.approx( BUGGY_REWARD @@ -914,8 +926,8 @@ def test_reset_does_not_disclose_the_task_directory(env: HarborEnvironment) -> N assert "path" not in observation.info["task"] assert str(BUNDLED_TASKS_DIR) not in json.dumps(observation.info) - # Orchestration still gets it — state is infrastructure-side. - assert env.state.task_path.endswith(EXAMPLE_TASK_ID) + # `state` rides the same socket, so it must not carry the path either. + assert str(BUNDLED_TASKS_DIR) not in json.dumps(env.state.model_dump()) def test_local_exec_does_not_inherit_server_secrets( @@ -1074,6 +1086,9 @@ def __init__(self) -> None: self.paths = SandboxPaths(workdir="/app") self.task_env = {} self.chowned: list[tuple[str, str]] = [] + self.read_users: list[str | None] = [] + self.write_users: list[str | None] = [] + self.agent_user: str | None = None def _boot(self, task: HarborTask) -> SandboxPaths: return self.paths @@ -1085,14 +1100,116 @@ def chown(self, user: str | None, *paths: str) -> None: if user: self.chowned.extend((user, path) for path in paths) - def read_text(self, path: str) -> str | None: - return None + def read_text(self, path: str, user: str | None = None) -> str | None: + self.read_users.append(user) + return "contents" - def write_text(self, path: str, content: str) -> None: - return None + def write_text(self, path: str, content: str, user: str | None = None) -> None: + self.write_users.append(user) def upload_dir(self, source, destination: str) -> None: return None def close(self) -> None: return None + + +def test_malformed_resource_limits_are_rejected_not_ignored(tmp_path: Path) -> None: + """A typo must not silently buy the task unlimited resources. + + Treating an invalid value as "absent" would also stop the local backend + refusing the task, so the failure compounds. + """ + for bad in ("0", "-4", '"lots"'): + config = textwrap.dedent( + f""" + schema_version = "1.4" + + [task] + name = "tests/bad" + + [environment] + cpus = {bad} + """ + ).strip() + write_task(tmp_path, "bad", config=config, seed_files={"a.py": "x = 1\n"}) + catalog = TaskCatalog(tmp_path) + catalog.refresh() + + with pytest.raises(TaskFormatError, match="cpus"): + catalog.get("bad") + + +def test_storage_limits_are_refused_rather_than_faked() -> None: + """Docker accepts `storage_opt` on drivers that never enforce it. + + A task that believes it is capped and is not is worse than one that is told + up front we cannot cap it. + """ + task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID) + + with pytest.raises(SandboxError, match="quota"): + _container_limits(replace(task, resources=ResourceLimits(storage_mb=32))) + + +def test_phase_overrides_replace_the_baseline_they_override() -> None: + """A baseline both phases override must not still take effect.""" + policy = NetworkPolicy(baseline="no-network", agent="public", verifier="public") + + assert policy.modes == {"public"} + assert not policy.restricted + + task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID) + assert "network_mode" not in _container_limits(replace(task, network=policy)) + + +def test_agent_supplied_timeout_cannot_exceed_the_configured_ceiling( + tmp_path: Path, +) -> None: + """`timeout_s` arrives on the wire, so it is policy-controlled.""" + recorded: list[float] = [] + + class _Recording(LocalSandbox): + def exec(self, command, *, timeout_s, env=None, workdir=None, **kw): + recorded.append(timeout_s) + return ExecResult(0, "") + + environment = HarborEnvironment( + mode="local", command_timeout_s=5.0, sandbox_factory=lambda mode: _Recording() + ) + try: + environment.reset(task_id=EXAMPLE_TASK_ID) + recorded.clear() + environment.step( + HarborAction(action_type="exec", command="sleep 1", timeout_s=86_400.0) + ) + finally: + environment.close() + + assert recorded == [5.0] + + +def test_agent_reads_and_writes_run_as_the_declared_user() -> None: + """`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`. + """ + task = replace( + HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID), agent_user="nobody" + ) + del task # the sandbox is driven directly below + sandbox = _RecordingSandbox() + environment = HarborEnvironment(mode="local", sandbox_factory=lambda mode: sandbox) + try: + environment.reset(task_id=EXAMPLE_TASK_ID) + sandbox.agent_user = "nobody" + environment.step(HarborAction(action_type="read", path="stats.py")) + environment.step( + HarborAction(action_type="write", path="stats.py", content="x = 1\n") + ) + finally: + environment.close() + + assert sandbox.read_users == ["nobody"] + assert sandbox.write_users == ["nobody"] From 5079a775fd2e3d34e2fa5a2cfe889ac0e4ab96c9 Mon Sep 17 00:00:00 2001 From: Govind Kamtamneni Date: Wed, 29 Jul 2026 07:46:38 -0700 Subject: [PATCH 7/7] fix(harbor_env): close the symlink escape from read/write confinement MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Cursor and Copilot both flagged the same hole independently, and they were right: `resolve_within()` is a purely lexical check, so it cannot see a symlink the agent planted with `exec`. Demonstrated before the fix: exec ln -s link read path="link/grade.py" -> returned the grader's source That defeats the documented guarantee that `/tests` and `/solution` are unreachable through `read`/`write` — the agent could read the grading logic, and `write` could plant files the verifier would then execute. Agent paths now go through `Sandbox.resolve_agent_path()`, which keeps the lexical check and then canonicalizes on the sandbox's own filesystem: `Path.resolve()` locally and `readlink -m` in the container. `-m` rather than `-f` because 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. The base is canonicalized too. Without that the fix rejected everything on macOS, where the episode root lives under `/var`, itself a link to `/private/var`. Both cases are covered by tests. Also, from the same round of review: - Local mode now flags a task that declares `[environment].docker_image` while running on the host toolchain. Seed files make the *state* reproducible, but the image supplies the toolchain, and a version skew would otherwise surface as a mis-graded episode. Warned in the log and surfaced in the reset observation as `info["toolchain_warning"]`. Two other items from that round needed no change: - "Failed evaluate leaves the episode open" was reported against 270a4579 and was already fixed in dd2232b7, which terminates before the verifier runs. Verified: a task with no `tests/test.sh` returns `done=True`, as does every action after it. - "PathLike task source crashes" does not reproduce. `pathlib.Path` is hashable, so `lru_cache` accepts it; `resolve_task_source(Path("..."))` resolves normally. Tests: 81 (3 added). The symlink test was confirmed to fail against the pre-fix lexical check. Full suite 1587 passed, 131 skipped. --- .../server/harbor_env_environment.py | 30 ++++---- envs/harbor_env/server/sandbox.py | 71 +++++++++++++++++++ tests/envs/test_harbor_env.py | 60 ++++++++++++++++ 3 files changed, 147 insertions(+), 14 deletions(-) diff --git a/envs/harbor_env/server/harbor_env_environment.py b/envs/harbor_env/server/harbor_env_environment.py index 56c87dd85..2cd2e9a29 100644 --- a/envs/harbor_env/server/harbor_env_environment.py +++ b/envs/harbor_env/server/harbor_env_environment.py @@ -36,7 +36,6 @@ from harbor_env.server.sandbox import ( create_sandbox, ExecResult, - resolve_within, Sandbox, SandboxError, ) @@ -52,7 +51,6 @@ from sandbox import ( create_sandbox, ExecResult, - resolve_within, Sandbox, SandboxError, ) @@ -222,16 +220,20 @@ def reset( ) self._refresh_catalog_state() - return self._observe( - action_type="reset", - output="", - info={ - "task": task.summary(), - # Agent-visible paths only — the observation reaches the policy, - # and the verifier/oracle directories are not its business. - "paths": sandbox.paths.as_env(agent_visible=True), - }, - ) + info: dict[str, Any] = { + "task": task.summary(), + # Agent-visible paths only — the observation reaches the policy, + # and the verifier/oracle directories are not its business. + "paths": sandbox.paths.as_env(agent_visible=True), + } + if sandbox.mode == "local" and task.docker_image: + # Visible to the training run, not just the server log: the task + # named a toolchain this backend is not providing. + info["toolchain_warning"] = ( + f"task declares docker_image={task.docker_image!r} but is running on " + "the host toolchain; use HARBOR_MODE=docker for a faithful result" + ) + return self._observe(action_type="reset", output="", info=info) def step( self, @@ -318,7 +320,7 @@ def _do_read( self, action: HarborAction, sandbox: Sandbox, task: HarborTask ) -> HarborObservation: del task - target = resolve_within(sandbox.paths.workdir, action.path) + 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}") @@ -328,7 +330,7 @@ def _do_write( self, action: HarborAction, sandbox: Sandbox, task: HarborTask ) -> HarborObservation: del task - target = resolve_within(sandbox.paths.workdir, action.path) + 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}" diff --git a/envs/harbor_env/server/sandbox.py b/envs/harbor_env/server/sandbox.py index 90bfc3c69..7d3e159e9 100644 --- a/envs/harbor_env/server/sandbox.py +++ b/envs/harbor_env/server/sandbox.py @@ -357,6 +357,43 @@ def chown(self, user: str | None, *paths: str) -> None: f"{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 then canonicalized *on the sandbox's own filesystem*, + which is the only way to catch a symlink the agent planted with + `exec`. Without this, `ln -s /tests t` followed by + `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 as well: the working directory itself often + # sits behind a link (macOS `/var` -> `/private/var`), and comparing a + # resolved path against an unresolved base would reject every legitimate + # access. + 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 + + @abstractmethod + def real_path(self, path: str) -> str: + """Canonicalize `path` on the sandbox's filesystem, resolving symlinks. + + The final component need not exist — a `write` legitimately creates it — + but every parent must, so a link in the middle cannot hide. + """ + def mkdirs(self, *paths: str) -> None: """Create directories inside the sandbox. @@ -441,6 +478,18 @@ def _boot(self, task: HarborTask) -> SandboxPaths: "own user with the host's network. Run the server with " "HARBOR_MODE=docker." ) + if task.docker_image: + # The task ships its starting state as seed files, so the state is + # reproducible here — but the image it named supplies the toolchain, + # and the host's may differ. Say so rather than let a version skew + # surface as a mis-graded episode. + logger.warning( + "task %s declares [environment].docker_image = %s; the local backend " + "runs on the host toolchain instead, so results may differ from " + "`harbor run`. Use HARBOR_MODE=docker for a faithful result.", + task.task_id, + task.docker_image, + ) self._root.mkdir(parents=True, exist_ok=True) return SandboxPaths( @@ -489,6 +538,14 @@ def exec( ) return ExecResult(completed.returncode, completed.stdout + completed.stderr) + def real_path(self, path: str) -> str: + target = Path(path) + if target.exists(): + return str(target.resolve()) + # A `write` may be creating the final component; resolving the parent + # still catches a symlinked directory on the way there. + return str(target.parent.resolve() / target.name) + def read_text(self, path: str, user: str | None = None) -> str | None: del user # _boot refuses tasks that declare one target = Path(path) @@ -622,6 +679,20 @@ def exec( timed_out=status == TIMEOUT_EXIT_CODE, ) + def real_path(self, path: str) -> str: + # `readlink -m` canonicalizes every component and, unlike `-f`, does not + # require any of them to exist — a `write` legitimately creates nested + # directories. Symlinks that *do* exist are still resolved, which is the + # only part that matters for confinement. + 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 read_text(self, path: str, user: str | None = None) -> str | None: result = self.exec(f"cat {_quote(path)}", timeout_s=60.0, user=user) return result.output if result.ok else None diff --git a/tests/envs/test_harbor_env.py b/tests/envs/test_harbor_env.py index 518f311dd..bca8f796d 100644 --- a/tests/envs/test_harbor_env.py +++ b/tests/envs/test_harbor_env.py @@ -1100,6 +1100,9 @@ def chown(self, user: str | None, *paths: str) -> None: if user: self.chowned.extend((user, path) for path in paths) + def real_path(self, path: str) -> str: + return path + def read_text(self, path: str, user: str | None = None) -> str | None: self.read_users.append(user) return "contents" @@ -1213,3 +1216,60 @@ def test_agent_reads_and_writes_run_as_the_declared_user() -> None: assert sandbox.read_users == ["nobody"] assert sandbox.write_users == ["nobody"] + + +def test_symlinks_cannot_walk_read_write_out_of_the_workdir( + env: HarborEnvironment, +) -> None: + """`resolve_within` is lexical, so it cannot see a link the agent planted. + + `exec ln -s /tests t` followed by `read path="t/test.sh"` would otherwise + walk straight out of the working directory and read the grader. + """ + env.reset(task_id=EXAMPLE_TASK_ID) + tests_dir = Path(env._sandbox.paths.tests) + tests_dir.mkdir(parents=True, exist_ok=True) + (tests_dir / "grade.py").write_text("# grader internals\n", encoding="utf-8") + env.step(HarborAction(action_type="exec", command=f"ln -sfn {tests_dir} link")) + + leaked = env.step(HarborAction(action_type="read", path="link/grade.py")) + planted = env.step( + HarborAction(action_type="write", path="link/test.sh", content="exit 0") + ) + + assert not leaked.success and "escapes" in leaked.error + assert not planted.success and "escapes" in planted.error + assert not (tests_dir / "test.sh").exists() + + +def test_legitimate_paths_survive_symlink_canonicalization( + env: HarborEnvironment, +) -> None: + """The working directory itself often sits behind a link. + + On macOS it is under `/var`, which is a symlink to `/private/var`; comparing + a resolved path against an unresolved base would reject everything. + """ + env.reset(task_id=EXAMPLE_TASK_ID) + + assert env.step(HarborAction(action_type="read", path="stats.py")).success + # A write may legitimately create directories that do not exist yet. + assert env.step( + HarborAction(action_type="write", path="pkg/mod/new.py", content="x = 1\n") + ).success + assert env.step(HarborAction(action_type="read", path="pkg/mod/new.py")).success + + +def test_local_mode_flags_a_declared_image_it_is_not_providing( + env: HarborEnvironment, +) -> None: + """A seed-file task is reproducible locally, but its toolchain may not be. + + `fix-sum-bug` declares `docker_image = "python:3.12-slim"`; running it on + the host's Python is close enough to be useful and different enough to + mis-grade, so the mismatch is surfaced rather than left silent. + """ + observation = env.reset(task_id=EXAMPLE_TASK_ID) + + assert "python:3.12-slim" in observation.info["toolchain_warning"] + assert "HARBOR_MODE=docker" in observation.info["toolchain_warning"]