diff --git a/.github/workflows/e2e-harness.yml b/.github/workflows/e2e-harness.yml index c847ad3ec..61d17a152 100644 --- a/.github/workflows/e2e-harness.yml +++ b/.github/workflows/e2e-harness.yml @@ -94,92 +94,4 @@ jobs: if: always() env: POWERCONTEXT_E2E_DATABASE: ${{ matrix.database }} - run: e2e/bub/run.sh down - - # live-replay: - # needs: acceptance - # if: github.event_name != 'pull_request' - # runs-on: ubuntu-latest - # timeout-minutes: 50 - # strategy: - # fail-fast: false - # matrix: - # database: [sqlite, oceanbase] - # name: Live replay (${{ matrix.database }}) - # steps: - # - name: Check out - # uses: actions/checkout@v7 - - # - name: Check provider configuration - # id: provider - # env: - # API_KEY: ${{ secrets.POWERCONTEXT_E2E_API_KEY }} - # MODEL: ${{ vars.POWERCONTEXT_E2E_MODEL }} - # run: | - # if [[ -n "${API_KEY}" && -n "${MODEL}" ]]; then - # echo "configured=true" >> "${GITHUB_OUTPUT}" - # else - # echo "configured=false" >> "${GITHUB_OUTPUT}" - # echo "Live replay skipped because provider credentials are not configured." >> "${GITHUB_STEP_SUMMARY}" - # fi - - # - name: Run live replay - # if: steps.provider.outputs.configured == 'true' - # env: - # BUB_API_BASE: ${{ vars.POWERCONTEXT_E2E_API_BASE }} - # BUB_API_KEY: ${{ secrets.POWERCONTEXT_E2E_API_KEY }} - # BUB_MODEL: ${{ vars.POWERCONTEXT_E2E_MODEL }} - # POWERCONTEXT_E2E_DATABASE: ${{ matrix.database }} - # POWERCONTEXT_E2E_OUTPUT: ${{ github.workspace }}/.powercontext-e2e/${{ matrix.database }}/live - # run: make harness-compose-live - - # - name: Scan replay evidence - # id: evidence_scan - # if: always() && steps.provider.outputs.configured == 'true' - # continue-on-error: true - # env: - # EVIDENCE_PATH: ${{ github.workspace }}/.powercontext-e2e/${{ matrix.database }}/live - # run: | - # test -d "${EVIDENCE_PATH}" - # docker run --rm \ - # --volume "${EVIDENCE_PATH}:/evidence:ro" \ - # "${TRUFFLEHOG_IMAGE}" \ - # filesystem /evidence \ - # --no-verification \ - # --results=verified,unknown,unverified \ - # --fail \ - # --fail-on-scan-errors \ - # --no-update \ - # --json > "${RUNNER_TEMP}/trufflehog-live-${{ matrix.database }}.jsonl" - - # - name: Report suppressed replay evidence - # if: >- - # always() && - # steps.provider.outputs.configured == 'true' && - # steps.evidence_scan.outcome != 'success' - # run: echo "::warning::Replay evidence was not published because secret scanning did not complete cleanly." - - # - name: Publish replay summary - # if: >- - # always() && - # steps.provider.outputs.configured == 'true' && - # steps.evidence_scan.outcome == 'success' - # run: cat ".powercontext-e2e/${{ matrix.database }}/live/report.md" >> "${GITHUB_STEP_SUMMARY}" - - # - name: Upload replay evidence - # if: >- - # always() && - # steps.provider.outputs.configured == 'true' && - # steps.evidence_scan.outcome == 'success' - # uses: actions/upload-artifact@v7 - # with: - # name: e2e-live-${{ matrix.database }}-${{ github.sha }} - # path: .powercontext-e2e/${{ matrix.database }}/live - # if-no-files-found: error - # retention-days: 14 - - # - name: Stop harness environment - # if: always() - # env: - # POWERCONTEXT_E2E_DATABASE: ${{ matrix.database }} - # run: e2e/bub/run.sh down + run: make harness-compose-down diff --git a/Makefile b/Makefile index 7383df385..8482e2867 100644 --- a/Makefile +++ b/Makefile @@ -52,15 +52,9 @@ harness-check: ## Validate the Bub replay harness and committed scenarios. @uv run --project e2e/bub powercontext-e2e --help >/dev/null .PHONY: harness-acceptance -harness-acceptance: ## Run all deterministic Bub session replay scenarios against a Server. - @uv run --project e2e/bub powercontext-e2e acceptance e2e/bub/scenarios/*.yaml \ - --output "$${POWERCONTEXT_E2E_OUTPUT:-e2e/bub/results}" - -.PHONY: harness-live -harness-live: ## Run one real-model Bub session replay scenario against a Server. - @uv run --project e2e/bub powercontext-e2e live \ - "$${POWERCONTEXT_E2E_SCENARIO:-e2e/bub/scenarios/project-database-decision.yaml}" \ - --output "$${POWERCONTEXT_E2E_OUTPUT:-e2e/bub/results/live}" +harness-acceptance: ## Evaluate workloads by ID or category against an existing Server. + @uv run --project e2e/bub powercontext-e2e acceptance \ + --output "$${POWERCONTEXT_E2E_OUTPUT:-e2e/bub/results}" $(ARGS) .PHONY: harness-rescore harness-rescore: ## Rescore REPLAY without rerunning Bub or PowerContext. @@ -74,17 +68,12 @@ harness-compose-check: ## Validate the SQLite and OceanBase Compose environments @POWERCONTEXT_E2E_DATABASE=oceanbase e2e/bub/run.sh check .PHONY: harness-compose-acceptance -harness-compose-acceptance: ## Build and run deterministic replay scenarios in containers. - @e2e/bub/run.sh acceptance - -.PHONY: harness-compose-live -harness-compose-live: ## Build and run one real-model replay in containers. - @e2e/bub/run.sh live +harness-compose-acceptance: ## Build and evaluate workloads by ID or category in the fixed harness. + @e2e/bub/run.sh acceptance $(ARGS) .PHONY: harness-compose-down -harness-compose-down: ## Stop both isolated harness environments and remove their volumes. - @POWERCONTEXT_E2E_DATABASE=sqlite e2e/bub/run.sh down - @POWERCONTEXT_E2E_DATABASE=oceanbase e2e/bub/run.sh down +harness-compose-down: ## Stop the selected isolated harness environment and remove its volumes. + @e2e/bub/run.sh down .PHONY: contract-test contract-test: api-generate-check ## Verify generated API code and contract bindings. diff --git a/docker/Dockerfile b/docker/Dockerfile index 171e33381..170e1e9d5 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -1,6 +1,6 @@ # syntax=docker/dockerfile:1.7 -FROM ghcr.io/astral-sh/uv:0.10.12 AS uv +FROM docker.io/astral/uv:0.10.12 AS uv FROM python:3.11-slim-bookworm AS builder diff --git a/e2e/bub/Dockerfile b/e2e/bub/Dockerfile index b1a21b2d6..06688a390 100644 --- a/e2e/bub/Dockerfile +++ b/e2e/bub/Dockerfile @@ -1,14 +1,24 @@ # syntax=docker/dockerfile:1.7 -FROM ghcr.io/astral-sh/uv:0.10.12 AS uv +FROM docker.io/astral/uv:0.10.12 AS uv + +FROM docker.io/library/docker:27.5.1-dind AS docker FROM python:3.12-slim-bookworm COPY --from=uv /uv /uvx /bin/ +COPY --from=docker /usr/local/bin/ /usr/local/bin/ +COPY --from=docker /usr/local/libexec/docker/cli-plugins/ /usr/local/libexec/docker/cli-plugins/ + +RUN apt-get update \ + && apt-get install --yes --no-install-recommends ca-certificates git iproute2 iptables pigz socat \ + && rm -rf /var/lib/apt/lists/* \ + && docker compose version ENV PATH="/workspace/powercontext/e2e/bub/.venv/bin:$PATH" \ PYTHONUNBUFFERED=1 \ PYTHONDONTWRITEBYTECODE=1 \ + POWERCONTEXT_E2E_REPOSITORY=/workspace/powercontext \ UV_COMPILE_BYTECODE=1 \ UV_LINK_MODE=copy @@ -19,4 +29,6 @@ COPY . . RUN --mount=type=cache,id=powercontext-bub-e2e-uv,target=/root/.cache/uv \ uv sync --project e2e/bub --frozen --no-dev --no-editable -ENTRYPOINT ["powercontext-e2e"] +COPY --chmod=0755 e2e/bub/container-entrypoint.sh /usr/local/bin/powercontext-e2e-container + +ENTRYPOINT ["powercontext-e2e-container"] diff --git a/e2e/bub/README.md b/e2e/bub/README.md index 5cb7f6929..30a5f7acd 100644 --- a/e2e/bub/README.md +++ b/e2e/bub/README.md @@ -1,57 +1,197 @@ -# Session replay harness +# End-to-end workload harness -This harness runs committed scenarios through Bub and a real PowerContext Server. Every scenario uses one isolated -PowerContext scope. Every step uses a new Bub session, so durable state crosses the boundary only through PowerContext. +This directory contains PowerContext's end-to-end workload catalog. LoCoMo is used as a pinned input sample, not as a +benchmark suite. The Terminal-Bench case retains its native task and verifier, while PowerContext acceptance is based +on Memory collection, grounding, and recall rather than the native task reward. -It supports three evidence modes: +The common architecture separates workload selection, execution, evidence, Memory evaluation, and reporting. Bub is +the current execution adapter because its model, tools, context injection, capture, and checkpoints are observable. +Another adapter can be added later without changing the common workload or evaluation contracts. -- `acceptance` calls real Bub tools without a model. It blocks on process completion, Memory extraction, and prepared - context recall. -- `live` sends the same inputs to a real Bub model. It adds agent and model spans, and records answer quality as a - diagnostic score or judge label. -- `rescore` reads `replay.json` and runs the same Pydantic Evals oracle without rerunning Bub or PowerContext. +Every workload follows one execution path: -Each run writes `replay.json`, `eval-report.json`, and `report.md`. The replay is self-contained and contains the -scenario, public Memory snapshots, prepared context, outputs, and Pydantic Evals-compatible spans. Known runtime -secrets are redacted when these files are written. CI also scans the complete evidence directory with TruffleHog -before publishing a summary or artifact; evidence is not published when that scan does not complete cleanly. Treat -local evidence as potentially sensitive until it has been inspected. +```text +Pydantic manifest and native runtime settings + -> isolated PowerContext scope + -> Harbor Job + -> Harbor ACP runner + -> Bub ACP server + -> PowerContext + -> Pydantic Memory evaluation + -> Pydantic JSON evidence and Marko report +``` + +Harbor owns task and agent execution. Local multi-step Harbor tasks model independent capture and recall sessions; +registry-backed tasks such as Terminal-Bench use the same `Job.run` call. The harness does not contain a second Bub +runner. Pydantic validates configuration, manifests, observations, and evaluation reports. Marko renders the Markdown +summary. + +## Layout + +```text +e2e/bub/ + tasks/ # PowerContext manifests and evaluation expectations + harbor-tasks/ # Local Harbor tasks used by built-in samples + src/powercontext_e2e/ # One Harbor runner and one Memory evaluator +``` + +All manifests use the same schema: + +```yaml +schema: powercontext.e2e-task/v1 +id: project-database-decision +categories: + - acceptance + - sample +dataset: + path: e2e/bub/harbor-tasks + task_id: project-database-decision + checksum: +execution: + type: bub + model: false + max_steps: 10 + max_tokens: 4096 +evaluation: + expected_memory: + - OceanBase + probes: + - id: database-decision + query: What database did this project select, and why? + expected_context: + - OceanBase +``` + +The dataset can be a local Harbor dataset path or a registry dataset name and version. `execution` selects the +adapter and its budget. `model` declares only whether the workload requires a model. The runtime selects the model, +provider, endpoint, and credentials. `evaluation` declares only externally observable Memory behavior. -## Run against an existing Server +Runtime configuration keeps the native ownership of each component. The harness Client reads +`POWERCONTEXT_CLIENT_*`, the Bub adapter forwards native `BUB_*` settings for model-backed workloads, and the +PowerContext integration reads `POWERCONTEXT_BUB_*`. Harness-owned settings are limited to workload selection, +evidence paths, database identity, repository mounting, and nested-container orchestration. Harbor does not require +model provider credentials. + +The built-in manifests are: + +| ID | Dataset | Categories | Purpose | +| --- | --- | --- | --- | +| `locomo-support-group` | local Harbor multi-step task | `acceptance`, `sample` | Pinned LoCoMo-derived sample | +| `project-database-decision` | local Harbor multi-step task | `acceptance`, `sample`, `smoke` | Durable project decision | +| `terminal-bench-db-wal-recovery` | `terminal-bench@2.0` | `long-horizon`, `terminal-bench` | Long-running capture and recall | + +## Run acceptance workloads + +Against an existing PowerContext Server, run the default `acceptance` category: ```bash -export POWERCONTEXT_BUB_BASE_URL=http://127.0.0.1:8000 -export POWERCONTEXT_E2E_DATABASE=sqlite +export POWERCONTEXT_CLIENT_SERVER_URL=http://127.0.0.1:8000 +export POWERCONTEXT_BUB_BASE_URL=http://host-gateway:8000 make harness-acceptance ``` -Run one real-provider scenario: +Selection uses the `acceptance` command's repeatable `--id` and `--category` options: ```bash -export BUB_MODEL=openai:model-name -export BUB_API_KEY=replace-me -export BUB_API_BASE=https://provider.example/v1 -make harness-live +make harness-acceptance ARGS='--id locomo-support-group --id project-database-decision' + +make harness-acceptance ARGS='--category acceptance --category sample' ``` -`BUB_MODEL` is reused by PowerContext and the Pydantic Evals judge for OpenAI and DeepSeek providers. -`POWERCONTEXT_E2E_JUDGE_MODEL` selects an explicit judge. Server generation settings take precedence, and embedding -always uses its own PowerContext profile. +ID and category selection are additive. The same selectors work in the fixed Compose harness: -## Run the complete environment +```bash +make harness-compose-acceptance + +POWERCONTEXT_E2E_DATABASE=oceanbase \ +make harness-compose-acceptance \ +ARGS='--id locomo-support-group --id project-database-decision' +``` -Docker Compose starts PowerContext and runs the same committed scenarios used in CI. SQLite is the default: +Each selected workload writes the same layout: + +```text +// + replay.json + eval-report.json + report.md + harbor-jobs/ +``` + +`replay.json` is a self-contained Pydantic observation. Its workload's `execution.type` identifies the `bub` adapter, +and the remaining fields record the pre-execution Memory baseline and the instructions resolved by Harbor's ACP +runner. +`eval-report.json` uses +`powercontext.e2e-evaluation/v1`. `report.md` is rendered from the report model with Marko. Native Harbor and ACP +evidence remains under `harbor-jobs/`. + +## Long-horizon task + +The Terminal-Bench manifest pins its task checksum, model requirement, step budget, capture cadence, recall probes, +and acceptance thresholds. Bub and ACP server versions belong to the adapter runtime and are recorded in replay +evidence. Harbor task and agent timeouts remain Harbor-owned; `BUB_MODEL_TIMEOUT_SECONDS` remains a native runtime +setting. Run the task with the same command: ```bash -make harness-compose-acceptance +make harness-compose-acceptance ARGS='--category long-horizon' ``` -Run the same acceptance set against OceanBase: +This task requires privileged Linux containers, enough time and disk for the task image, a runtime-provided Bub +model and credentials, and configured PowerContext generation and embedding inference. For example: + +```bash +export OPENROUTER_API_KEY=replace-me +export BUB_MODEL=openrouter:openai/gpt-5.4 +export BUB_API_KEY="$OPENROUTER_API_KEY" +export POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL=openrouter:deepseek/deepseek-v4-pro +export POWERCONTEXT_SERVER_INFERENCE_GENERATION_TIMEOUT_SECONDS=120 +export POWERCONTEXT_SERVER_INFERENCE_EMBEDDING_MODEL=openrouter:qwen/qwen3-embedding-4b +export POWERCONTEXT_SERVER_INFERENCE_EMBEDDING_PROFILE_ID=openrouter-qwen3-embedding-4b-2560-unit +export POWERCONTEXT_SERVER_INFERENCE_EMBEDDING_DIMENSION=2560 +make harness-compose-acceptance ARGS='--category long-horizon' +``` + +The runtime may authenticate Bub with its native `BUB_API_KEY`, provider-specific `BUB__API_KEY`, or a +Codex OAuth document at +`${CODEX_HOME:-$HOME/.codex}/auth.json`. Authentication choice is not part of the workload manifest. +The fixed Compose harness exposes `BUB_MODEL`, `BUB_API_KEY`, and `BUB_API_BASE`; direct harness execution also +forwards other native `BUB_*` values without translating them. + +If the agent task container requires an outbound proxy, set `POWERCONTEXT_E2E_AGENT_PROXY_URL` to a URL reachable +from that container. In the fixed nested-container harness, `host-gateway` addresses the harness container, so a +proxy exposed there can be passed as `http://host-gateway:`. The typed setting is also treated as a secret when +evidence is written. + +Agent setup uses Bub's supported installation path: `uv tool install` installs Bub with the local PowerContext plugin, +then `bub install bub-acp-server` adds the ACP server to the same environment. Harbor uploads and runs its native ACP +client. The Terminal-Bench task keeps its original image, setup, verifier, and isolation boundary. The harness ignores +dataset CPU and memory limits because it evaluates Memory behavior rather than benchmark resource compliance. This +also keeps the fixed harness usable in nested container runtimes that cannot create additional cgroups. + +Long-horizon acceptance requires observable Memory behavior: + +- the manifest checksum matches Harbor's resolved task; +- native ACP evidence exists; +- completed Bub events were captured at the configured coverage; +- a checkpoint created Memory in an initially empty scope; +- new Memory cites sources captured during the run; +- recall probes return prepared context. + +In-run context injections remain a reported metric, but they do not gate this single-session task because extraction +may complete only at the final checkpoint. Harbor rewards are diagnostic scores and do not gate Memory acceptance. + +## Rescore evidence + +Every workload uses the same offline command: ```bash -POWERCONTEXT_E2E_DATABASE=oceanbase make harness-compose-acceptance +REPLAY=.powercontext-e2e/bub/sqlite/acceptance/terminal-bench-db-wal-recovery/replay.json \ +make harness-rescore ``` -`make harness-compose-live` uses the provider variables above. Evidence is written below `.powercontext-e2e/bub/`; -set `POWERCONTEXT_E2E_OUTPUT` to keep it elsewhere. Compose containers, networks, and volumes are removed after both -successful and failed runs. `make harness-compose-down` remains available as an idempotent manual cleanup. +The harness does not mirror PowerContext Server, PowerContext Client, Bub, Harbor, or any-llm settings. Each component +loads its native parameters, and the adapter only forwards the native values needed across the nested-container +boundary. The Bub plugin uses Bub's Pydantic settings extension and accepts the same fields in the `powercontext` +section of `bub.yml`. Native Bub API keys and the PowerContext Client token are redacted at every final evidence sink. +CI scans evidence with TruffleHog before publishing it. Native ACP artifacts can contain arbitrary command output and +should be reviewed before sharing. diff --git a/e2e/bub/compose.yaml b/e2e/bub/compose.yaml index 7ae2ab08f..445cb396e 100644 --- a/e2e/bub/compose.yaml +++ b/e2e/bub/compose.yaml @@ -20,7 +20,7 @@ services: - POWERCONTEXT_SERVER_INFERENCE_EMBEDDING_TIMEOUT_SECONDS - POWERCONTEXT_SERVER_INFERENCE_GENERATION_MAX_REQUESTS - POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL - - POWERCONTEXT_SERVER_INFERENCE_GENERATION_TIMEOUT_SECONDS + - POWERCONTEXT_SERVER_INFERENCE_GENERATION_TIMEOUT_SECONDS=${POWERCONTEXT_SERVER_INFERENCE_GENERATION_TIMEOUT_SECONDS:-120} - POWERCONTEXT_SERVER_DATABASE_KIND=sqlite - POWERCONTEXT_SERVER_DATABASE_URL=sqlite+aiosqlite:////data/powercontext.db healthcheck: @@ -43,23 +43,26 @@ services: depends_on: powercontext: condition: service_healthy + privileged: true environment: - BUB_API_BASE - BUB_API_KEY - - BUB_CLIENT_ARGS - - BUB_MAX_STEPS=${BUB_MAX_STEPS:-8} - - BUB_MAX_TOKENS=${BUB_MAX_TOKENS:-4096} - BUB_MODEL - - BUB_MODEL_TIMEOUT_SECONDS=${BUB_MODEL_TIMEOUT_SECONDS:-600} + - BUB_MODEL_TIMEOUT_SECONDS + - CODEX_HOME=/codex - GITHUB_SHA - POWERCONTEXT_E2E_DATABASE - - POWERCONTEXT_E2E_JUDGE_MODEL - - POWERCONTEXT_SERVER_INFERENCE_EMBEDDING_PROFILE_ID - - POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL - - POWERCONTEXT_BUB_BASE_URL=http://powercontext:8000 - - BUB_HOME=/tmp/bub + - POWERCONTEXT_E2E_AGENT_PROXY_URL + - POWERCONTEXT_E2E_DOCKER_STORAGE_DRIVER + - POWERCONTEXT_CLIENT_SERVER_URL=http://127.0.0.1:8000 + - POWERCONTEXT_CLIENT_TIMEOUT=150 + - POWERCONTEXT_BUB_BASE_URL=http://host-gateway:8000 + - POWERCONTEXT_BUB_TIMEOUT=150 volumes: - ${POWERCONTEXT_E2E_OUTPUT}:/evidence + - ${POWERCONTEXT_E2E_CODEX_AUTH_MOUNT:-/dev/null}:/codex/auth.json:ro + - harbor-docker-data:/var/lib/docker volumes: + harbor-docker-data: powercontext-data: diff --git a/e2e/bub/container-entrypoint.sh b/e2e/bub/container-entrypoint.sh new file mode 100644 index 000000000..5cb28a83a --- /dev/null +++ b/e2e/bub/container-entrypoint.sh @@ -0,0 +1,42 @@ +#!/bin/sh +set -eu + +docker_log=/tmp/powercontext-e2e-dockerd.log +storage_driver=${POWERCONTEXT_E2E_DOCKER_STORAGE_DRIVER:-vfs} +server_address=${POWERCONTEXT_E2E_SERVER_ADDRESS:-powercontext:8000} + +is_loopback_proxy() { + case "${1:-}" in + http://127.0.0.1:* | https://127.0.0.1:* | http://localhost:* | https://localhost:*) return 0 ;; + *) return 1 ;; + esac +} + +# A host-local proxy cannot be reached from the nested Docker daemon. +if is_loopback_proxy "${HTTP_PROXY:-}"; then unset HTTP_PROXY; fi +if is_loopback_proxy "${HTTPS_PROXY:-}"; then unset HTTPS_PROXY; fi +if is_loopback_proxy "${ALL_PROXY:-}"; then unset ALL_PROXY; fi +if is_loopback_proxy "${http_proxy:-}"; then unset http_proxy; fi +if is_loopback_proxy "${https_proxy:-}"; then unset https_proxy; fi +if is_loopback_proxy "${all_proxy:-}"; then unset all_proxy; fi + +dockerd \ + --host=unix:///var/run/docker.sock \ + --storage-driver="$storage_driver" \ + --log-level=error \ + >"$docker_log" 2>&1 & + +attempt=0 +until docker info >/dev/null 2>&1; do + attempt=$((attempt + 1)) + if [ "$attempt" -ge 60 ]; then + echo "The nested Docker daemon did not become ready." >&2 + sed -n '1,160p' "$docker_log" >&2 + exit 1 + fi + sleep 1 +done + +socat TCP-LISTEN:8000,bind=0.0.0.0,fork,reuseaddr "TCP:$server_address" & + +exec powercontext-e2e "$@" diff --git a/e2e/bub/harbor-task-overlay.yaml b/e2e/bub/harbor-task-overlay.yaml new file mode 100644 index 000000000..a81fc63fd --- /dev/null +++ b/e2e/bub/harbor-task-overlay.yaml @@ -0,0 +1,6 @@ +services: + main: + extra_hosts: + - host-gateway:host-gateway + security_opt: + - label=disable diff --git a/e2e/bub/pyproject.toml b/e2e/bub/pyproject.toml index c9f0f8829..baa5bf64a 100644 --- a/e2e/bub/pyproject.toml +++ b/e2e/bub/pyproject.toml @@ -4,23 +4,21 @@ version = "0.0.1" description = "Bub-driven PowerContext session replay harness." requires-python = ">=3.12,<4.0" dependencies = [ - "bub>=0.4.0,<0.5.0", + "bub==0.4.2", + "harbor>=0.16,<0.17", "loguru>=0.7,<1", - "opentelemetry-sdk>=1.30,<2", + "marko>=2.2,<3", "powercontext[client]", "powercontext-bub", - "pydantic-evals>=2.14,<3", + "pydantic-settings>=2.7,<3", "pyyaml>=6,<7", ] -[dependency-groups] -dev = ["pytest>=9.0.2"] - [project.scripts] powercontext-e2e = "powercontext_e2e.__main__:main" -[project.entry-points."bub"] -powercontext_e2e_tracing = "powercontext_e2e.tracing:BubTracingPlugin" +[dependency-groups] +dev = ["pytest>=9,<10"] [build-system] requires = ["hatchling"] diff --git a/e2e/bub/run.sh b/e2e/bub/run.sh index d35c7b096..5cd051226 100755 --- a/e2e/bub/run.sh +++ b/e2e/bub/run.sh @@ -4,7 +4,10 @@ set -eu root=$(CDPATH= cd -- "$(dirname "$0")/../.." && pwd) cd "$root" -mode=${1:-acceptance} +command=${1:-acceptance} +if [ "$#" -gt 0 ]; then + shift +fi database=${POWERCONTEXT_E2E_DATABASE:-sqlite} case "$database" in @@ -15,10 +18,10 @@ case "$database" in ;; esac -case "$mode" in - acceptance | live | check | down) ;; +case "$command" in + acceptance | check | down) ;; *) - echo "mode must be acceptance, live, check, or down" >&2 + echo "command must be acceptance, check, or down" >&2 exit 2 ;; esac @@ -27,42 +30,34 @@ compose_files="-f e2e/bub/compose.yaml" if [ "$database" = oceanbase ]; then compose_files="$compose_files -f e2e/bub/compose.oceanbase.yaml" fi - export COMPOSE_PROJECT_NAME="powercontext-e2e-$database" -output=${POWERCONTEXT_E2E_OUTPUT:-"$root/.powercontext-e2e/bub/$database/$mode"} +output=${POWERCONTEXT_E2E_OUTPUT:-"$root/.powercontext-e2e/bub/$database/acceptance"} mkdir -p "$output" POWERCONTEXT_E2E_OUTPUT=$(CDPATH= cd -- "$output" && pwd) export POWERCONTEXT_E2E_OUTPUT export POWERCONTEXT_E2E_DATABASE=$database -if [ "$mode" = check ]; then +auth_path=${CODEX_HOME:-$HOME/.codex}/auth.json +if [ -f "$auth_path" ]; then + auth_directory=$(CDPATH= cd -- "$(dirname "$auth_path")" && pwd) + POWERCONTEXT_E2E_CODEX_AUTH_MOUNT="$auth_directory/$(basename "$auth_path")" +else + POWERCONTEXT_E2E_CODEX_AUTH_MOUNT=/dev/null +fi +export POWERCONTEXT_E2E_CODEX_AUTH_MOUNT + +if [ "$command" = check ]; then + test "$#" -eq 0 || { echo "check does not accept workload arguments" >&2; exit 2; } docker compose $compose_files config --quiet exit fi -if [ "$mode" = down ]; then +if [ "$command" = down ]; then + test "$#" -eq 0 || { echo "down does not accept workload arguments" >&2; exit 2; } docker compose $compose_files down --volumes --remove-orphans exit fi -if [ "$mode" = live ]; then - : "${BUB_MODEL:?BUB_MODEL is required for live replay}" - : "${BUB_API_KEY:?BUB_API_KEY is required for live replay}" - case "$BUB_MODEL" in - openai:*) - POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL=${POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL:-$BUB_MODEL} - OPENAI_API_KEY=${OPENAI_API_KEY:-$BUB_API_KEY} - OPENAI_BASE_URL=${OPENAI_BASE_URL:-${BUB_API_BASE:-}} - export POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL OPENAI_API_KEY OPENAI_BASE_URL - ;; - deepseek:*) - POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL=${POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL:-$BUB_MODEL} - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-$BUB_API_KEY} - export POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL DEEPSEEK_API_KEY - ;; - esac -fi - if [ -z "${GITHUB_SHA:-}" ]; then GITHUB_SHA=$(git rev-parse HEAD) export GITHUB_SHA @@ -128,13 +123,5 @@ trap 'exit 143' TERM docker compose $compose_files build powercontext harness start_services -if [ "$mode" = acceptance ]; then - docker compose $compose_files run --rm harness \ - acceptance \ - e2e/bub/scenarios/locomo-support-group.yaml \ - e2e/bub/scenarios/project-database-decision.yaml \ - --output /evidence -else - scenario=${POWERCONTEXT_E2E_SCENARIO:-e2e/bub/scenarios/project-database-decision.yaml} - docker compose $compose_files run --rm harness live "$scenario" --output /evidence -fi +set -- acceptance --manifest e2e/bub/tasks --output /evidence "$@" +docker compose $compose_files run --rm harness "$@" diff --git a/e2e/bub/scenarios/locomo-support-group.yaml b/e2e/bub/scenarios/locomo-support-group.yaml deleted file mode 100644 index 3f4a382a2..000000000 --- a/e2e/bub/scenarios/locomo-support-group.yaml +++ /dev/null @@ -1,45 +0,0 @@ -schema: powercontext.session-replay/v1 -id: locomo-support-group -provenance: - source: benchmark/locomo/dataset/locomo10.json - revision: 4448275ea2c5cd0af5774d80aea7b05b5a16e1b996caf8554ca3d762a301ae84 - selection: first-conversation-first-question/v1 - case_ids: - - conv-26 - - conv-26:q001 - - D1 -sessions: - - id: capture - input: |- - Remember the durable facts in this complete chronological conversation session. - LoCoMo conversation conv-26, session D1 - Date and time: 1:56 pm on 8 May, 2023 - Speakers: Caroline and Melanie - Dialogue: - [D1:1] Caroline: Hey Mel! Good to see you! How have you been? - [D1:2] Melanie: Hey Caroline! Good to see you! I'm swamped with the kids & work. What's up with you? Anything new? - [D1:3] Caroline: I went to a LGBTQ support group yesterday and it was so powerful. - [D1:4] Melanie: Wow, that's cool, Caroline! What happened that was so awesome? Did you hear any inspiring stories? - [D1:5] Caroline: The transgender stories were so inspiring! I was so happy and thankful for all the support. - [D1:6] Melanie: Wow, love that painting! So cool you found such a helpful group. What's it done for you? - [D1:7] Caroline: The support group has made me feel accepted and given me courage to embrace myself. - [D1:8] Melanie: That's really cool. You've got guts. What now? - [D1:9] Caroline: Gonna continue my edu and check out career options, which is pretty exciting! - [D1:10] Melanie: Wow, Caroline! What kinda jobs are you thinkin' of? Anything that stands out? - [D1:11] Caroline: I'm keen on counseling or working in mental health - I'd love to support those with similar issues. - [D1:12] Melanie: You'd be a great counselor! Your empathy and understanding will really help the people you work with. - [D1:13] Caroline: Thanks, Melanie! That's really sweet. Is this your own painting? - [D1:14] Melanie: Yeah, I painted that lake sunrise last year! It's special to me. - [D1:15] Caroline: Wow, Melanie! The colors really blend nicely. Painting looks like a great outlet for expressing yourself. - [D1:16] Melanie: Thanks, Caroline! Painting's a fun way to express my feelings and get creative. - [D1:17] Caroline: Totally agree, Mel. Relaxing and expressing ourselves is key. Well, I'm off to go do some research. - [D1:18] Melanie: Yep, Caroline. Taking care of ourselves is vital. Talk to you soon! - expected_memory: - - LGBTQ support group - - 8 May, 2023 - - id: recall - input: When did Caroline go to the LGBTQ support group? - expected_context: - - LGBTQ support group - - 8 May, 2023 - expected_answer: 7 May 2023 diff --git a/e2e/bub/scenarios/project-database-decision.yaml b/e2e/bub/scenarios/project-database-decision.yaml deleted file mode 100644 index eee694720..000000000 --- a/e2e/bub/scenarios/project-database-decision.yaml +++ /dev/null @@ -1,20 +0,0 @@ -schema: powercontext.session-replay/v1 -id: project-database-decision -sessions: - - id: capture - input: >- - Store this durable project decision in PowerContext: the project selected OceanBase because it needs - MySQL-compatible, multi-node persistent storage for shared agent context. - expected_memory: - - OceanBase - - MySQL-compatible - - multi-node persistent storage - - id: recall - input: What database did this project select, and why? - expected_context: - - OceanBase - - MySQL-compatible - - multi-node persistent storage - expected_answer: >- - The project selected OceanBase because it needs MySQL-compatible, multi-node persistent storage for - shared agent context. diff --git a/e2e/bub/src/powercontext_e2e/__main__.py b/e2e/bub/src/powercontext_e2e/__main__.py index d5c1f4250..f0274b5e4 100644 --- a/e2e/bub/src/powercontext_e2e/__main__.py +++ b/e2e/bub/src/powercontext_e2e/__main__.py @@ -1,4 +1,4 @@ -"""Command-line entry point for session replay and offline scoring.""" +"""Command-line entry point for end-to-end workloads and offline scoring.""" from __future__ import annotations @@ -9,8 +9,7 @@ from loguru import logger -from .models import load_scenario -from .runner import evaluate_scenario, rescore_replay +from .settings import HarnessSettings def main() -> None: @@ -20,24 +19,46 @@ def main() -> None: parser = argparse.ArgumentParser(prog="powercontext-e2e") subparsers = parser.add_subparsers(dest="command", required=True) - for command in ("acceptance", "live"): - run_parser = subparsers.add_parser(command) - run_parser.add_argument("scenario", type=Path, nargs="+") - run_parser.add_argument("--output", type=Path, required=True) + acceptance_parser = subparsers.add_parser("acceptance") + acceptance_parser.add_argument("--manifest", type=Path, default=Path("e2e/bub/tasks")) + acceptance_parser.add_argument( + "--id", + action="append", + default=[], + metavar="WORKLOAD_ID", + help="Select one workload; repeat to select more than one.", + ) + acceptance_parser.add_argument( + "--category", + action="append", + default=[], + help="Select one category; repeat to select more than one.", + ) + acceptance_parser.add_argument("--output", type=Path, required=True) rescore_parser = subparsers.add_parser("rescore") rescore_parser.add_argument("replay", type=Path) rescore_parser.add_argument("--output", type=Path, required=True) args = parser.parse_args() + settings = HarnessSettings() if args.command == "rescore": - passed = asyncio.run(rescore_replay(args.replay, args.output)) + from .rescore import rescore_replay + + passed = rescore_replay(args.replay, args.output, settings) else: - passed = True - for scenario_path in args.scenario: - scenario = load_scenario(scenario_path) - output_dir = args.output if len(args.scenario) == 1 else args.output / scenario.id - passed = asyncio.run(evaluate_scenario(scenario, mode=args.command, output_dir=output_dir)) and passed + from .catalog import load_tasks, select_tasks + from .runner import run_tasks + + tasks = load_tasks(args.manifest) + selected = select_tasks(tasks, ids=tuple(args.id), categories=tuple(args.category)) + passed = asyncio.run( + run_tasks( + selected, + output_dir=args.output, + settings=settings, + ) + ) raise SystemExit(0 if passed else 1) diff --git a/e2e/bub/src/powercontext_e2e/artifacts.py b/e2e/bub/src/powercontext_e2e/artifacts.py new file mode 100644 index 000000000..f138004b3 --- /dev/null +++ b/e2e/bub/src/powercontext_e2e/artifacts.py @@ -0,0 +1,31 @@ +"""Final redacted artifact sinks for workload observations and evaluations.""" + +from __future__ import annotations + +from pathlib import Path + +from .evidence import write_evaluation_report, write_evidence +from .models import EvaluationReport, TaskObservation +from .report import render_report +from .settings import HarnessSettings + + +def write_artifacts( + observation: TaskObservation, + report: EvaluationReport, + output_dir: Path, + *, + settings: HarnessSettings, +) -> None: + output_dir.mkdir(parents=True, exist_ok=True) + write_evidence(output_dir / "replay.json", observation.model_dump_json(by_alias=True, indent=2) + "\n", settings) + write_evaluation_report( + output_dir / "eval-report.json", + report=report, + settings=settings, + ) + write_evidence( + output_dir / "report.md", + render_report(observation, report), + settings, + ) diff --git a/e2e/bub/src/powercontext_e2e/catalog.py b/e2e/bub/src/powercontext_e2e/catalog.py index 533a5ec1b..9d7b78b81 100644 --- a/e2e/bub/src/powercontext_e2e/catalog.py +++ b/e2e/bub/src/powercontext_e2e/catalog.py @@ -4,7 +4,7 @@ import hashlib from pathlib import Path -from typing import Literal +from typing import ClassVar, Literal import yaml from pydantic import BaseModel, ConfigDict, Field, model_validator @@ -38,6 +38,12 @@ def require_one_source(self) -> HarborDatasetSpec: class BubExecutionSpec(CatalogModel): + native_artifact_names: ClassVar[frozenset[str]] = frozenset({ + "acp-summary.json", + "acp-events.jsonl", + "trajectory.json", + }) + type: Literal["bub"] = "bub" model: bool = False max_steps: int = Field(default=50, ge=1, le=200) diff --git a/e2e/bub/src/powercontext_e2e/evaluation.py b/e2e/bub/src/powercontext_e2e/evaluation.py new file mode 100644 index 000000000..5bc1ef3e9 --- /dev/null +++ b/e2e/bub/src/powercontext_e2e/evaluation.py @@ -0,0 +1,186 @@ +"""Offline Memory evaluation over normalized workload evidence.""" + +from __future__ import annotations + +from pathlib import Path + +from .models import ( + CaseEvaluation, + EvaluationReport, + EvaluationValue, + HarborTrialObservation, + TaskObservation, +) + +CAPTURE_EVENTS = frozenset({"user_prompt", "llm_result", "tool_result"}) + + +class MemoryEvaluator: + """Evaluate one workload through the common Memory acceptance contract.""" + + @staticmethod + def evaluate(observation: TaskObservation, *, experiment: str) -> EvaluationReport: + task = observation.task + evaluation = task.evaluation + eligible_records = [record for record in observation.capture_records if record.event in CAPTURE_EVENTS] + captured_records = [record for record in eligible_records if record.status == "captured"] + capture_coverage = len(captured_records) / len(eligible_records) if eligible_records else 0.0 + + memory_before_ids = {entry.entry_id for entry in observation.memory_before.entries} + new_memory = [entry for entry in observation.memory_after.entries if entry.entry_id not in memory_before_ids] + captured_source_ids = {record.source_id for record in captured_records if record.source_id is not None} + grounded_memory = [ + entry + for entry in new_memory + if entry.source_refs and all(source.source_id in captured_source_ids for source in entry.source_refs) + ] + groundedness = len(grounded_memory) / len(new_memory) if new_memory else 0.0 + + probes_by_id = {probe.id: probe for probe in observation.probes} + supported_probes = [ + probe_spec + for probe_spec in evaluation.probes + if (probe := probes_by_id.get(probe_spec.id)) is not None + and probe.prepared_context.status == "ready" + and bool(probe.prepared_context.content.strip()) + and _contains_fragments(probe.prepared_context.content, probe_spec.expected_context) + ] + probe_coverage = len(supported_probes) / len(evaluation.probes) + in_run_contexts = sum( + record.event == "context" + and record.status == "ready" + and record.content_bytes is not None + and record.content_bytes > 0 + for record in observation.capture_records + ) + completed_checkpoints = [ + record + for record in observation.capture_records + if record.event == "checkpoint" + and record.status != "failed" + and record.current_cursor is not None + and record.target_position is not None + and record.current_cursor >= record.target_position + ] + native_names = {Path(artifact.name).name for artifact in observation.native_artifacts} + missing_native_artifacts = sorted(task.execution.native_artifact_names - native_names) + summary_artifacts = { + artifact.name for artifact in observation.native_artifacts if Path(artifact.name).name == "acp-summary.json" + } + instruction_artifacts = {instruction.artifact for instruction in observation.resolved_instructions} + instructions_recorded = bool(summary_artifacts) and instruction_artifacts == summary_artifacts + expected_memory_found = all( + any(fragment.casefold() in entry.text.casefold() for entry in observation.memory_after.entries) + for fragment in evaluation.expected_memory + ) + thresholds = evaluation.thresholds + + attributes = { + "commit": observation.environment.commit, + "database": observation.environment.database, + "dataset": task.dataset.name or str(task.dataset.path), + "execution_adapter": task.execution.type, + "harbor_task_id": task.dataset.task_id, + "run_id": observation.run_id, + "workload_id": task.id, + } + metrics = { + "capture_events": len(eligible_records), + "captured_sources": len(captured_records), + "completed_checkpoints": len(completed_checkpoints), + "in_run_contexts": in_run_contexts, + "resolved_instructions": len(observation.resolved_instructions), + "memory_entries_after": len(observation.memory_after.entries), + "memory_entries_created": len(new_memory), + "recall_probes_supported": len(supported_probes), + } + + assertions = { + "collection_completed": EvaluationValue( + value=observation.status == "completed", + reason=None if observation.status == "completed" else "; ".join(observation.errors), + ), + "task_provenance_matches": EvaluationValue( + value=observation.harbor.task_checksum == task.dataset.checksum, + reason=f"Expected {task.dataset.checksum!r}; observed {observation.harbor.task_checksum!r}.", + ), + "native_acp_evidence_recorded": EvaluationValue( + value=not missing_native_artifacts, + reason=( + "All required native ACP artifacts were recorded." + if not missing_native_artifacts + else f"Missing native ACP artifacts: {missing_native_artifacts!r}." + ), + ), + "resolved_instructions_recorded": EvaluationValue( + value=instructions_recorded, + reason=( + f"Resolved {len(instruction_artifacts)} instructions from {len(summary_artifacts)} ACP summaries." + ), + ), + "capture_coverage_accepted": EvaluationValue( + value=capture_coverage >= thresholds.capture_coverage, + reason=f"Observed {capture_coverage:.3f}; required {thresholds.capture_coverage:.3f}.", + ), + "memory_created_during_run": EvaluationValue( + value=bool(new_memory) and (not evaluation.require_checkpoint or bool(completed_checkpoints)), + reason=f"Created {len(new_memory)} Memory entries and completed {len(completed_checkpoints)} checkpoints.", + ), + "memory_grounded": EvaluationValue( + value=groundedness >= thresholds.groundedness, + reason=f"Observed {groundedness:.3f}; required {thresholds.groundedness:.3f}.", + ), + "recall_probes_supported": EvaluationValue( + value=probe_coverage >= thresholds.probe_coverage, + reason=f"Observed {probe_coverage:.3f}; required {thresholds.probe_coverage:.3f}.", + ), + "memory_recalled_during_run": EvaluationValue( + value=in_run_contexts >= thresholds.minimum_in_run_contexts, + reason=f"Observed {in_run_contexts}; required {thresholds.minimum_in_run_contexts}.", + ), + "scope_started_empty": EvaluationValue( + value=not observation.memory_before.entries, + reason=f"Scope started with {len(observation.memory_before.entries)} Memory entries.", + ), + } + if evaluation.expected_memory: + assertions["expected_memory_recorded"] = EvaluationValue( + value=expected_memory_found, + reason=f"Expected Memory fragments: {list(evaluation.expected_memory)!r}.", + ) + scores = { + "capture_coverage": EvaluationValue(value=capture_coverage), + "groundedness": EvaluationValue(value=groundedness), + "probe_coverage": EvaluationValue(value=probe_coverage), + **{ + f"harbor_reward_{name}": EvaluationValue(value=float(reward)) + for name, reward in sorted(observation.harbor.rewards.items()) + }, + } + labels = {"task_outcome": EvaluationValue(value=_task_outcome(observation.harbor))} + return EvaluationReport( + experiment=experiment, + cases=( + CaseEvaluation( + name=task.id, + assertions=assertions, + scores=scores, + labels=labels, + metrics=metrics, + attributes=attributes, + ), + ), + ) + + +def _contains_fragments(value: str, expected: tuple[str, ...]) -> bool: + folded = value.casefold() + return all(fragment.casefold() in folded for fragment in expected) + + +def _task_outcome(harbor: HarborTrialObservation) -> str: + if harbor.exception_type is not None: + return f"error:{harbor.exception_type}" + if not harbor.rewards: + return "unscored" + return "passed" if all(float(reward) >= 1 for reward in harbor.rewards.values()) else "not_passed" diff --git a/e2e/bub/src/powercontext_e2e/evidence.py b/e2e/bub/src/powercontext_e2e/evidence.py new file mode 100644 index 000000000..4ad144f4f --- /dev/null +++ b/e2e/bub/src/powercontext_e2e/evidence.py @@ -0,0 +1,76 @@ +"""Stable, redacted evidence serialization shared by all task adapters.""" + +from __future__ import annotations + +import json +from hashlib import sha256 +from pathlib import Path + +from .models import EvaluationReport, NativeArtifact, ResolvedInstruction +from .settings import HarnessSettings + +REDACTED = "[REDACTED]" + + +def fingerprint(path: Path, *, relative_to: Path | None = None) -> NativeArtifact: + content = path.read_bytes() + name = path.relative_to(relative_to).as_posix() if relative_to is not None else path.name + return NativeArtifact(name=name, sha256=sha256(content).hexdigest(), bytes=len(content)) + + +def redact(value: str, settings: HarnessSettings) -> str: + """Redact configured runtime secrets from diagnostic text.""" + + for secret in settings.evidence_secrets(): + value = value.replace(secret, REDACTED) + value = value.replace(json.dumps(secret, ensure_ascii=False)[1:-1], REDACTED) + return value + + +def load_resolved_instructions( + trial_dir: Path, + settings: HarnessSettings, +) -> tuple[ResolvedInstruction, ...]: + """Load the instructions that Harbor's ACP runner actually received.""" + + resolved: list[ResolvedInstruction] = [] + for summary_path in sorted(trial_dir.rglob("acp-summary.json")): + try: + payload = json.loads(summary_path.read_text(encoding="utf-8")) + except (OSError, UnicodeDecodeError, json.JSONDecodeError): + continue + instruction = payload.get("instruction") if isinstance(payload, dict) else None + if not isinstance(instruction, str) or not instruction.strip(): + continue + artifact = summary_path.relative_to(trial_dir) + resolved.append( + ResolvedInstruction( + step=_step_name(artifact), + artifact=artifact.as_posix(), + content=redact(instruction, settings), + sha256=sha256(instruction.encode("utf-8")).hexdigest(), + ) + ) + return tuple(resolved) + + +def _step_name(artifact: Path) -> str | None: + parts = artifact.parts + return parts[1] if len(parts) > 1 and parts[0] == "steps" else None + + +def write_evidence(path: Path, content: str, settings: HarnessSettings) -> None: + path.write_text(redact(content, settings), encoding="utf-8") + + +def write_evaluation_report( + path: Path, + *, + report: EvaluationReport, + settings: HarnessSettings, +) -> None: + write_evidence( + path, + report.model_dump_json(by_alias=True, indent=2) + "\n", + settings, + ) diff --git a/e2e/bub/src/powercontext_e2e/harbor_agent.py b/e2e/bub/src/powercontext_e2e/harbor_agent.py new file mode 100644 index 000000000..5edd4eb9e --- /dev/null +++ b/e2e/bub/src/powercontext_e2e/harbor_agent.py @@ -0,0 +1,105 @@ +"""Thin Harbor ACP adapter for Bub's native plugin environment.""" + +from __future__ import annotations + +import shlex +from importlib.metadata import version +from pathlib import Path +from typing import Any + +from harbor.agents.installed import acp as harbor_acp +from harbor.environments.base import BaseEnvironment + +AGENT_ID = "powercontext-bub-acp" +REMOTE_BIN_DIR = "/installed-agent/bin" +REMOTE_BUB_HOME = "/installed-agent/bub-home" +REMOTE_BUB_PROJECT = "/installed-agent/bub-project" +REMOTE_CODEX_AUTH = "/run/powercontext/codex-auth.json" +REMOTE_CODEX_HOME = "/installed-agent/codex" +REMOTE_SOURCE = "/opt/powercontext/source" +REMOTE_TOOL_DIR = "/installed-agent/tools" +BUB_VERSION = version("bub") +BUB_ACP_SERVER_VERSION = "0.0.2" + + +class PowerContextBubAcpAgent(harbor_acp.AcpAgent): + """Install Bub through its supported uv tool and plugin commands.""" + + def __init__(self, **kwargs: Any) -> None: + super().__init__( + registry_entry={ + "id": AGENT_ID, + "name": "PowerContext Bub ACP", + "version": f"bub-{BUB_VERSION}", + "description": "Bub with the local PowerContext integration", + "distribution": {"uvx": {"package": f"bub-acp-server=={BUB_ACP_SERVER_VERSION}"}}, + }, + distribution_preference=["uvx"], + auth_policy="disabled", + permission_mode="allow", + **kwargs, + ) + + async def install(self, environment: BaseEnvironment) -> None: + await self.exec_as_root( + environment, + command=self._build_dependencies_command("uvx"), + env={"DEBIAN_FRONTEND": "noninteractive"}, + ) + await self.exec_as_root(environment, command=_install_bub_command()) + await self.exec_as_root(environment, command=_install_acp_server_command()) + agent_user = shlex.quote(str(environment.default_user or "root")) + await self.exec_as_root( + environment, + command=( + f"chown -R {agent_user} {REMOTE_BIN_DIR} {REMOTE_BUB_HOME} {REMOTE_BUB_PROJECT} " + f"{REMOTE_CODEX_HOME} {REMOTE_TOOL_DIR}" + ), + ) + + launcher_path = self.logs_dir / "acp-launch.sh" + launcher_path.write_text( + "#!/usr/bin/env sh\n" + "set -eu\n" + f'bub_bin=$(dirname "$(readlink -f {REMOTE_BIN_DIR}/bub)")\n' + 'exec "$bub_bin/bub-acp-server" "$@"\n', + encoding="utf-8", + ) + await environment.upload_file(source_path=launcher_path, target_path=self._LAUNCHER_REMOTE_PATH) + runner_path = Path(harbor_acp.__file__).with_name("acp_runner.py") + await environment.upload_file(source_path=runner_path, target_path=self._RUNNER_REMOTE_PATH) + await environment.exec( + command=f"chmod a+rx {self._LAUNCHER_REMOTE_PATH} {self._RUNNER_REMOTE_PATH}", + user="root", + ) + self._selected_distribution_kind = "uvx" + + +def _tool_environment() -> str: + return f"UV_TOOL_BIN_DIR={shlex.quote(REMOTE_BIN_DIR)} UV_TOOL_DIR={shlex.quote(REMOTE_TOOL_DIR)}" + + +def _install_bub_command() -> str: + uv = f"{harbor_acp.AcpAgent._RUNNER_VENV_PATH}/bin/uv" + return ( + "set -eu; " + f"mkdir -p {REMOTE_BIN_DIR} {REMOTE_BUB_HOME} {REMOTE_BUB_PROJECT} {REMOTE_CODEX_HOME}; " + f"if [ -f {REMOTE_CODEX_AUTH} ]; then " + f"cp {REMOTE_CODEX_AUTH} {REMOTE_CODEX_HOME}/auth.json; " + f"chmod 600 {REMOTE_CODEX_HOME}/auth.json; " + "fi; " + f"{_tool_environment()} {uv} tool install --force " + f"--with {REMOTE_SOURCE} --with {REMOTE_SOURCE}/integrations/bub " + f"{shlex.quote(f'bub=={BUB_VERSION}')}" + ) + + +def _install_acp_server_command() -> str: + runner_bin = f"{harbor_acp.AcpAgent._RUNNER_VENV_PATH}/bin" + return ( + "set -eu; " + f"PATH={runner_bin}:$PATH BUB_HOME={REMOTE_BUB_HOME} CODEX_HOME={REMOTE_CODEX_HOME} " + f"BUB_PROJECT={REMOTE_BUB_PROJECT} " + f"{_tool_environment()} {REMOTE_BIN_DIR}/bub install " + f"{shlex.quote(f'bub-acp-server=={BUB_ACP_SERVER_VERSION}')}" + ) diff --git a/e2e/bub/src/powercontext_e2e/models.py b/e2e/bub/src/powercontext_e2e/models.py index 17924d8b8..e444457d7 100644 --- a/e2e/bub/src/powercontext_e2e/models.py +++ b/e2e/bub/src/powercontext_e2e/models.py @@ -1,59 +1,32 @@ -"""Strict scenario and replay evidence models.""" +"""Normalized evidence and evaluation models for end-to-end workloads.""" from __future__ import annotations -import hashlib from datetime import datetime -from pathlib import Path -from typing import Literal +from typing import Any, Literal -import yaml -from pydantic import BaseModel, ConfigDict, Field, model_validator -from pydantic_evals.otel import SpanNode +from pydantic import BaseModel, ConfigDict, Field - -class EvidenceModel(BaseModel): - model_config = ConfigDict(extra="forbid", populate_by_name=True) - - -class Provenance(EvidenceModel): - source: str - revision: str - selection: str - case_ids: tuple[str, ...] = Field(min_length=1) +from .catalog import E2ETask -class SessionSpec(EvidenceModel): - id: str = Field(pattern=r"^[a-z0-9][a-z0-9_-]*$") - input: str = Field(min_length=1) - expected_memory: tuple[str, ...] = () - expected_context: tuple[str, ...] = () - expected_answer: str | None = None - - -class ScenarioSpec(EvidenceModel): - schema_: Literal["powercontext.session-replay/v1"] = Field(alias="schema") - id: str = Field(pattern=r"^[a-z0-9][a-z0-9_-]*$") - provenance: Provenance | None = None - sessions: tuple[SessionSpec, ...] = Field(min_length=1) - - @model_validator(mode="after") - def require_unique_session_ids(self) -> ScenarioSpec: - session_ids = [session.id for session in self.sessions] - if len(session_ids) != len(set(session_ids)): - raise ValueError("Replay session IDs must be unique") # noqa: TRY003 - return self +class EvidenceModel(BaseModel): + model_config = ConfigDict(extra="forbid") class RunEnvironment(EvidenceModel): - mode: Literal["acceptance", "live", "offline-rescore"] commit: str database: str + adapter_version: str + adapter_protocol_version: str agent_model: str | None = None - generation_model: str | None = None - embedding_profile: str | None = None - judge_model: str | None = None started_at: datetime + finished_at: datetime + + +class SourceReferenceSnapshot(EvidenceModel): + name: str + source_id: str class MemoryEntrySnapshot(EvidenceModel): @@ -63,6 +36,7 @@ class MemoryEntrySnapshot(EvidenceModel): kind: str text: str state: str + source_refs: tuple[SourceReferenceSnapshot, ...] = () class MemorySnapshot(EvidenceModel): @@ -74,37 +48,99 @@ class PreparedContextSnapshot(EvidenceModel): content: str = "" -class SessionObservation(EvidenceModel): - id: str - agent_session_id: str - status: Literal["completed", "failed"] +class CaptureRecord(EvidenceModel): + schema_: Literal["powercontext.bub-capture-event/v1"] = Field(alias="schema") + recorded_at: datetime + event: Literal["user_prompt", "llm_result", "tool_result", "checkpoint", "context"] + status: str + sequence: int | None = None + source_id: str | None = None + source_position: int | None = None error: str | None = None + final: bool | None = None + target_position: int | None = None + previous_cursor: int | None = None + current_cursor: int | None = None + high_watermark: int | None = None + processed_source_count: int | None = None + memory_created: bool | None = None + content_bytes: int | None = None + captured_events: int | None = None + flushed_position: int | None = None + + +class RecallProbeObservation(EvidenceModel): + id: str + query: str prepared_context: PreparedContextSnapshot - output: str = "" - memory_after: MemorySnapshot -class ReplayObservation(EvidenceModel): - schema_: Literal["powercontext.session-replay-evidence/v1"] = Field( - default="powercontext.session-replay-evidence/v1", +class HarborTrialObservation(EvidenceModel): + job_id: str | None = None + trial_name: str | None = None + trial_uri: str | None = None + task_checksum: str | None = None + rewards: dict[str, float | int] = Field(default_factory=dict) + exception_type: str | None = None + exception_message: str | None = None + started_at: datetime | None = None + finished_at: datetime | None = None + + +class NativeArtifact(EvidenceModel): + name: str + sha256: str + bytes: int = Field(ge=0) + + +class ResolvedInstruction(EvidenceModel): + step: str | None = None + artifact: str + content: str = Field(min_length=1) + sha256: str = Field(pattern=r"^[0-9a-f]{64}$") + + +class TaskObservation(EvidenceModel): + schema_: Literal["powercontext.e2e-evidence/v1"] = Field( + default="powercontext.e2e-evidence/v1", alias="schema", ) run_id: str environment: RunEnvironment - scenario: ScenarioSpec + task: E2ETask status: Literal["completed", "failed"] errors: tuple[str, ...] = () + harbor: HarborTrialObservation + capture_records: tuple[CaptureRecord, ...] = () + native_artifacts: tuple[NativeArtifact, ...] = () + resolved_instructions: tuple[ResolvedInstruction, ...] = () memory_before: MemorySnapshot memory_after: MemorySnapshot - sessions: tuple[SessionObservation, ...] - spans: tuple[SpanNode, ...] = () - - -def load_scenario(path: Path) -> ScenarioSpec: - scenario = ScenarioSpec.model_validate(yaml.safe_load(path.read_text(encoding="utf-8"))) - if scenario.provenance is not None: - source = Path(scenario.provenance.source) - fingerprint = hashlib.sha256(source.read_bytes()).hexdigest() - if fingerprint != scenario.provenance.revision: - raise ValueError(f"Scenario source fingerprint changed: {source}") # noqa: TRY003 - return scenario + probes: tuple[RecallProbeObservation, ...] = () + + +class EvaluationValue(EvidenceModel): + value: bool | float | str + reason: str | None = None + + +class CaseEvaluation(EvidenceModel): + name: str + assertions: dict[str, EvaluationValue] = Field(default_factory=dict) + scores: dict[str, EvaluationValue] = Field(default_factory=dict) + labels: dict[str, EvaluationValue] = Field(default_factory=dict) + metrics: dict[str, int | float] = Field(default_factory=dict) + attributes: dict[str, Any] = Field(default_factory=dict) + + +class EvaluationReport(EvidenceModel): + schema_: Literal["powercontext.e2e-evaluation/v1"] = Field( + default="powercontext.e2e-evaluation/v1", + alias="schema", + ) + experiment: str + cases: tuple[CaseEvaluation, ...] = Field(min_length=1) + + @property + def accepted(self) -> bool: + return all(bool(result.value) for case in self.cases for result in case.assertions.values()) diff --git a/e2e/bub/src/powercontext_e2e/report.py b/e2e/bub/src/powercontext_e2e/report.py new file mode 100644 index 000000000..b5dde959d --- /dev/null +++ b/e2e/bub/src/powercontext_e2e/report.py @@ -0,0 +1,67 @@ +"""Render the human-readable evaluation report through Marko.""" + +from __future__ import annotations + +from marko import Markdown, block +from marko.element import Element +from marko.md_renderer import MarkdownRenderer + +from .models import EvaluationReport, TaskObservation + + +def render_report(observation: TaskObservation, report: EvaluationReport) -> str: + markdown = Markdown(renderer=MarkdownRenderer) + document = block.Document() + children: list[Element] = [] + children.extend(_nodes(markdown, "# PowerContext end-to-end Memory evaluation")) + children.append(block.BlankLine(0)) + children.extend( + _nodes( + markdown, + "\n".join(( + f"- Workload: `{observation.task.id}`", + f"- Execution adapter: `{observation.task.execution.type}`", + f"- Harbor dataset: `{observation.task.dataset.name or observation.task.dataset.path}`", + f"- Collection status: `{observation.status}`", + f"- Native task outcome: `{_task_outcome(report)}` (diagnostic only)", + )), + ) + ) + children.append(block.BlankLine(0)) + children.extend(_nodes(markdown, "## Harbor reward")) + children.append(block.BlankLine(0)) + reward_lines = ( + "\n".join(f"- `{name}`: `{value}`" for name, value in sorted(observation.harbor.rewards.items())) + or "- No native reward was recorded." + ) + children.extend(_nodes(markdown, reward_lines)) + children.append(block.BlankLine(0)) + children.extend(_nodes(markdown, "## Memory evaluation")) + children.append(block.BlankLine(0)) + children.extend(_nodes(markdown, f"```text\n{_evaluation_text(report)}\n```")) + document.children = children + return markdown.render(document) + + +def _nodes(markdown: Markdown, source: str) -> list[Element]: + return list(markdown.parse(source).children) + + +def _task_outcome(report: EvaluationReport) -> str: + value = report.cases[0].labels.get("task_outcome") + return str(value.value) if value is not None else "unscored" + + +def _evaluation_text(report: EvaluationReport) -> str: + lines: list[str] = [] + for case in report.cases: + lines.append(case.name) + for name, result in case.assertions.items(): + status = "PASS" if result.value else "FAIL" + reason = f" — {result.reason}" if result.reason else "" + lines.append(f" [{status}] {name}{reason}") + for name, result in case.scores.items(): + lines.append(f" [SCORE] {name}: {result.value}") + for name, result in case.labels.items(): + lines.append(f" [LABEL] {name}: {result.value}") + return "\n".join(lines) diff --git a/e2e/bub/src/powercontext_e2e/rescore.py b/e2e/bub/src/powercontext_e2e/rescore.py new file mode 100644 index 000000000..5bf576ed3 --- /dev/null +++ b/e2e/bub/src/powercontext_e2e/rescore.py @@ -0,0 +1,17 @@ +"""Offline replay rescoring without an execution-adapter dependency.""" + +from __future__ import annotations + +from pathlib import Path + +from .artifacts import write_artifacts +from .evaluation import MemoryEvaluator +from .models import TaskObservation +from .settings import HarnessSettings + + +def rescore_replay(replay_path: Path, output_dir: Path, settings: HarnessSettings) -> bool: + observation = TaskObservation.model_validate_json(replay_path.read_text(encoding="utf-8")) + report = MemoryEvaluator.evaluate(observation, experiment=f"offline:{observation.task.id}") + write_artifacts(observation, report, output_dir, settings=settings) + return report.accepted diff --git a/e2e/bub/src/powercontext_e2e/runner.py b/e2e/bub/src/powercontext_e2e/runner.py index bb0d460c9..66ec3e56f 100644 --- a/e2e/bub/src/powercontext_e2e/runner.py +++ b/e2e/bub/src/powercontext_e2e/runner.py @@ -1,317 +1,243 @@ -"""Run and evaluate complete Bub session replays.""" +"""Run every end-to-end workload through Harbor, ACP, and Bub.""" from __future__ import annotations -import json -import os -import shlex -import shutil -import subprocess -from dataclasses import dataclass +from contextlib import suppress from datetime import UTC, datetime from pathlib import Path -from typing import Any, Literal +from typing import Any +from urllib.parse import unquote, urlparse from uuid import uuid4 -from bub import BubFramework -from bub.channels.message import ChannelMessage -from opentelemetry import trace -from opentelemetry.sdk.trace import TracerProvider +from harbor.job import Job +from harbor.models.environment_type import EnvironmentType +from harbor.models.job.config import DatasetConfig, JobConfig +from harbor.models.trial.config import AgentConfig, EnvironmentConfig, ResourceMode, ServiceVolumeConfig from powercontext.client import PowerContextClient -from powercontext.http import ListMemoryEntriesRequest, PrepareContextRequest -from pydantic_ai.exceptions import AgentRunError -from pydantic_ai.models.openai import OpenAIChatModel -from pydantic_ai.providers.openai import OpenAIProvider -from pydantic_evals import Case, Dataset -from pydantic_evals.evaluators import EvaluationReason, Evaluator, EvaluatorContext -from pydantic_evals.evaluators.llm_as_a_judge import judge_input_output -from pydantic_evals.reporting import EvaluationReport +from powercontext.client.settings import ClientSettings +from powercontext.http import ( + ListMemoryEntriesRequest, + PrepareContextRequest, +) +from .artifacts import write_artifacts +from .catalog import E2ETask +from .evaluation import MemoryEvaluator +from .evidence import fingerprint, load_resolved_instructions, redact +from .harbor_agent import BUB_ACP_SERVER_VERSION, BUB_VERSION from .models import ( + CaptureRecord, + HarborTrialObservation, MemoryEntrySnapshot, MemorySnapshot, + NativeArtifact, PreparedContextSnapshot, - ReplayObservation, + RecallProbeObservation, + ResolvedInstruction, RunEnvironment, - ScenarioSpec, - SessionObservation, + SourceReferenceSnapshot, + TaskObservation, ) - -Mode = Literal["acceptance", "live", "offline-rescore"] -Report = EvaluationReport[ScenarioSpec, ReplayObservation, dict[str, str]] -Context = EvaluatorContext[ScenarioSpec, ReplayObservation, dict[str, str]] -_EVIDENCE_SECRET_ENVIRONMENT_NAMES = ( - "ANTHROPIC_API_KEY", - "BUB_API_KEY", - "DEEPSEEK_API_KEY", - "OPENAI_API_KEY", - "OPENROUTER_API_KEY", - "POWERCONTEXT_CLIENT_API_TOKEN", - "POWERCONTEXT_SERVER_AUTH_TOKEN", - "POWERCONTEXT_SERVER_DATABASE_URL", +from .settings import ( + HarnessSettings, + ModelNotConfiguredError, + bub_environment, + codex_auth_path, + powercontext_bub_environment, ) -_REDACTED = "[REDACTED]" - - -@dataclass -class ReplayEvaluator(Evaluator[ScenarioSpec, ReplayObservation, dict[str, str]]): - """Score public behavior and attach Pydantic Evals' native span tree.""" - judge_model: OpenAIChatModel | str | None = None - - async def evaluate(self, ctx: Context) -> dict[str, bool | float | str | EvaluationReason]: - if not ctx.output.spans: - ctx.output.spans = tuple(span for span in ctx.span_tree if span.name.startswith("bub.")) - - ctx.attributes.update({ - "commit": ctx.output.environment.commit, - "database": ctx.output.environment.database, - "mode": ctx.output.environment.mode, - "run_id": ctx.output.run_id, - }) - ctx.metrics.update({ - "memory_entries_after": len(ctx.output.memory_after.entries), - "model_calls": sum(span.name == "bub.model" for span in ctx.output.spans), - "sessions_completed": sum(session.status == "completed" for session in ctx.output.sessions), - "span_count": len(ctx.output.spans), - }) - observed_by_id = {session.id: session for session in ctx.output.sessions} - expected_ids = [session.id for session in ctx.inputs.sessions] - observed_ids = [session.id for session in ctx.output.sessions] - results: dict[str, bool | float | str | EvaluationReason] = { - "run_completed": EvaluationReason( - value=ctx.output.status == "completed", - reason=None if ctx.output.status == "completed" else "; ".join(ctx.output.errors), - ), - "sessions_completed": EvaluationReason( - value=observed_ids == expected_ids, - reason=None - if observed_ids == expected_ids - else f"Expected {expected_ids!r}, observed {observed_ids!r}.", - ), - } - if ctx.output.environment.mode == "live": - results["agent_trace_recorded"] = any(span.name == "bub.agent" for span in ctx.output.spans) - results["model_trace_recorded"] = any(span.name == "bub.model" for span in ctx.output.spans) - - for session_spec in ctx.inputs.sessions: - observed = observed_by_id.get(session_spec.id) - if observed is None: - continue - results[f"{session_spec.id}_completed"] = EvaluationReason( - value=observed.status == "completed", - reason=observed.error, - ) - if session_spec.expected_memory: - results[f"{session_spec.id}_memory"] = _contains_fragments( - [entry.text for entry in observed.memory_after.entries], - session_spec.expected_memory, - "Memory", - ) - if session_spec.expected_context: - results[f"{session_spec.id}_context"] = _contains_fragments( - [observed.prepared_context.content], - session_spec.expected_context, - "Prepared context", - ) - if session_spec.expected_answer and ctx.output.environment.mode == "live": - results.update(await self._answer_quality(session_spec.input, session_spec.expected_answer, observed)) - return results - - async def _answer_quality( - self, - question: str, - expected_answer: str, - observed: SessionObservation, - ) -> dict[str, float | str | EvaluationReason]: - prefix = f"{observed.id}_answer" - lexical_score = _token_recall(expected_answer, observed.output) - results: dict[str, float | str | EvaluationReason] = {f"{prefix}_token_recall": lexical_score} - if self.judge_model is None: - results[f"{prefix}_judge"] = EvaluationReason( - value="not_configured", - reason="Set POWERCONTEXT_E2E_JUDGE_MODEL or use an OpenAI-compatible BUB_MODEL.", - ) - return results - - try: - grading = await judge_input_output( - {"question": question, "expected_answer": expected_answer}, - {"answer": observed.output}, - "Judge whether the answer conveys the expected fact without requiring matching wording.", - model=self.judge_model, - ) - except AgentRunError as exc: - results[f"{prefix}_judge"] = EvaluationReason(value="unavailable", reason=f"{type(exc).__name__}: {exc}") - return results - results[f"{prefix}_judge"] = EvaluationReason( - value="pass" if grading.pass_ else "fail", - reason=grading.reason, - ) - results[f"{prefix}_judge_score"] = EvaluationReason(value=grading.score, reason=grading.reason) - return results - - -async def evaluate_scenario( - scenario: ScenarioSpec, +async def evaluate_task( + task: E2ETask, *, - mode: Literal["acceptance", "live"], output_dir: Path, + settings: HarnessSettings, ) -> bool: - _configure_tracing() - judge = _judge_model() if mode == "live" else None - evaluator = ReplayEvaluator(judge_model=judge) - dataset = Dataset[ScenarioSpec, ReplayObservation, dict[str, str]]( - name="powercontext-session-replay", - cases=[Case(name=scenario.id, inputs=scenario, metadata={"mode": mode})], - evaluators=[evaluator], - ) + observation = await run_task(task, output_dir=output_dir, settings=settings) + report = MemoryEvaluator.evaluate(observation, experiment=f"e2e:{task.id}") + write_artifacts(observation, report, output_dir, settings=settings) + return report.accepted - async def run(inputs: ScenarioSpec) -> ReplayObservation: - return await _run_replay(inputs, mode=mode, judge_model=_judge_model_name(judge)) - - report = await dataset.evaluate(run, name=f"{mode}:{scenario.id}", max_concurrency=1, progress=False) - observation = report.cases[0].output - write_artifacts(observation, report, output_dir) - return not report.failures and all(result.value for result in report.cases[0].assertions.values()) - - -async def rescore_replay(replay_path: Path, output_dir: Path) -> bool: - _configure_tracing() - observation = ReplayObservation.model_validate_json(replay_path.read_text(encoding="utf-8")) - environment = observation.environment.model_copy(update={"mode": "offline-rescore"}) - observation = observation.model_copy(update={"environment": environment}) - evaluator = ReplayEvaluator(judge_model=_judge_model()) - dataset = Dataset[ScenarioSpec, ReplayObservation, dict[str, str]]( - name="powercontext-session-replay", - cases=[Case(name=observation.scenario.id, inputs=observation.scenario, metadata={"mode": "offline-rescore"})], - evaluators=[evaluator], - ) - async def recorded(_: ScenarioSpec) -> ReplayObservation: - return observation +async def run_tasks( + tasks: tuple[E2ETask, ...], + *, + output_dir: Path, + settings: HarnessSettings, +) -> bool: + model_workload_ids = tuple(task.id for task in tasks if task.execution.model) + if model_workload_ids and "BUB_MODEL" not in bub_environment(): + raise ModelNotConfiguredError(model_workload_ids) - report = await dataset.evaluate(recorded, name=f"offline:{observation.scenario.id}", progress=False) - write_artifacts(report.cases[0].output, report, output_dir) - return not report.failures and all(result.value for result in report.cases[0].assertions.values()) + accepted = True + for task in tasks: + task_accepted = await evaluate_task(task, output_dir=output_dir / task.id, settings=settings) + accepted = task_accepted and accepted + return accepted -async def _run_replay( - scenario: ScenarioSpec, - *, - mode: Literal["acceptance", "live"], - judge_model: str | None, -) -> ReplayObservation: - run_id = f"{scenario.id}-{uuid4().hex[:12]}" +async def run_task(task: E2ETask, *, output_dir: Path, settings: HarnessSettings) -> TaskObservation: + started_at = datetime.now(UTC) + run_id = f"{task.id}-{uuid4().hex[:12]}" scope_id = f"e2e:{run_id}" - base_url = os.getenv("POWERCONTEXT_BUB_BASE_URL", "http://127.0.0.1:8000") - workspace = Path(os.getenv("POWERCONTEXT_E2E_WORKSPACE", ".powercontext/e2e-workspace")) / run_id - workspace.mkdir(parents=True, exist_ok=True) - os.environ["POWERCONTEXT_BUB_SCOPE_ID"] = scope_id - errors: list[str] = [] - observations: list[SessionObservation] = [] + capture_records: tuple[CaptureRecord, ...] = () + native_artifacts: tuple[NativeArtifact, ...] = () + resolved_instructions: tuple[ResolvedInstruction, ...] = () + harbor_observation = HarborTrialObservation() memory_before = MemorySnapshot() - try: - async with PowerContextClient(base_url, timeout=20) as client: + memory_after = MemorySnapshot() + probes: tuple[RecallProbeObservation, ...] = () + client_settings = ClientSettings() + client_token = None if client_settings.api_token is None else client_settings.api_token.get_secret_value() + + async with PowerContextClient( + client_settings.server_url, + token=client_token, + timeout=client_settings.timeout, + ) as client: + try: await client.get_readiness() - memory_before = await _memory_snapshot(client, scope_id) - - for index, session in enumerate(scenario.sessions): - prepared = await _prepared_context(client, scope_id, session.input) - agent_session_id = f"e2e:{run_id}:{index}:{session.id}" - try: - output = await _run_bub_session( - session.input, - agent_session_id=agent_session_id, - mode=mode, - remember=bool(session.expected_memory), - workspace=workspace, - ) - status = "completed" - error = None - except Exception as exc: - output = "" - status = "failed" - error = f"{type(exc).__name__}: {exc}" - errors.append(f"Session {session.id}: {error}") - memory_after_session = await _memory_snapshot(client, scope_id) - observations.append( - SessionObservation( - id=session.id, - agent_session_id=agent_session_id, - status=status, - error=error, - prepared_context=prepared, - output=output, - memory_after=memory_after_session, + memory_before = await memory_snapshot(client, scope_id) + + output_dir.mkdir(parents=True, exist_ok=True) + job = await Job.create(_job_config(task, run_id, scope_id, output_dir, settings)) + result = await job.run() + harbor_observation, trial_dir = _harbor_observation(result, settings) + if harbor_observation.exception_type is not None: + errors.append( + f"{harbor_observation.exception_type}: {harbor_observation.exception_message or ''}".strip() + ) + if trial_dir is not None: + capture_records = _load_capture_records(trial_dir) + native_artifacts = _native_artifacts(trial_dir, task.execution.native_artifact_names) + resolved_instructions = load_resolved_instructions(trial_dir, settings) + + memory_after = await memory_snapshot(client, scope_id) + probe_observations: list[RecallProbeObservation] = [] + for probe in task.evaluation.probes: + probe_observations.append( + RecallProbeObservation( + id=probe.id, + query=probe.query, + prepared_context=await prepared_context(client, scope_id, probe.query), ) ) - if status == "failed": - break - memory_after = await _memory_snapshot(client, scope_id) - except Exception as exc: - errors.append(f"{type(exc).__name__}: {exc}") - memory_after = observations[-1].memory_after if observations else memory_before - - return ReplayObservation( + probes = tuple(probe_observations) + except Exception as exc: + errors.append(redact(f"{type(exc).__name__}: {exc}", settings)) + with suppress(Exception): + memory_after = await memory_snapshot(client, scope_id) + + return TaskObservation( run_id=run_id, environment=RunEnvironment( - mode=mode, - commit=_commit(), - database=os.getenv("POWERCONTEXT_E2E_DATABASE", "unknown"), - agent_model=os.getenv("BUB_MODEL") if mode == "live" else None, - generation_model=os.getenv("POWERCONTEXT_SERVER_INFERENCE_GENERATION_MODEL"), - embedding_profile=os.getenv("POWERCONTEXT_SERVER_INFERENCE_EMBEDDING_PROFILE_ID"), - judge_model=judge_model, - started_at=datetime.now(UTC), + commit=settings.commit_id(), + database=settings.database, + adapter_version=BUB_VERSION, + adapter_protocol_version=BUB_ACP_SERVER_VERSION, + agent_model=bub_environment().get("BUB_MODEL") if task.execution.model else None, + started_at=started_at, + finished_at=datetime.now(UTC), ), - scenario=scenario, - status="completed" if len(observations) == len(scenario.sessions) and not errors else "failed", + task=task, + status="completed" if not errors else "failed", errors=tuple(errors), + harbor=harbor_observation, + capture_records=capture_records, + native_artifacts=native_artifacts, + resolved_instructions=resolved_instructions, memory_before=memory_before, memory_after=memory_after, - sessions=tuple(observations), + probes=probes, ) -async def _run_bub_session( - user_input: str, - *, - agent_session_id: str, - mode: Literal["acceptance", "live"], - remember: bool, - workspace: Path, -) -> str: - framework = BubFramework(config_file=workspace / "bub.yml") - framework.workspace = workspace - framework.load_hooks() - - if mode == "acceptance": - tool_name = "powercontext.remember" if remember else "powercontext.context" - argument_name = "text" if remember else "query" - user_input = f",{tool_name} {argument_name}={shlex.quote(user_input)}" - - tracer = trace.get_tracer("powercontext.e2e") - with tracer.start_as_current_span("bub.agent") as span: - span.set_attribute("gen_ai.operation.name", "invoke_agent") - span.set_attribute("input.value", user_input) - span.set_attribute("bub.session_id", agent_session_id) - async with framework.running(): - result = await framework.process_inbound( - ChannelMessage( - channel="cli", - chat_id=agent_session_id, - session_id=agent_session_id, - content=user_input, - ) +def _job_config( + task: E2ETask, + run_id: str, + scope_id: str, + output_dir: Path, + settings: HarnessSettings, +) -> JobConfig: + repository = settings.repository_path() + mounts: list[ServiceVolumeConfig] = [ + { + "type": "bind", + "source": str(repository), + "target": "/opt/powercontext/source", + "read_only": True, + "bind": {"create_host_path": False}, + } + ] + if task.execution.model and (auth_path := codex_auth_path()).is_file(): + mounts.append({ + "type": "bind", + "source": str(auth_path), + "target": "/run/powercontext/codex-auth.json", + "read_only": True, + "bind": {"create_host_path": False}, + }) + + agent_env = powercontext_bub_environment() + if task.execution.model: + agent_env.update(bub_environment()) + else: + agent_env.update({"BUB_API_KEY": "null", "BUB_FALLBACK_MODELS": "null"}) + agent_env.update({ + "BUB_HOME": "/installed-agent/bub-home", + "BUB_MAX_STEPS": str(task.execution.max_steps), + "BUB_MAX_TOKENS": str(task.execution.max_tokens), + "CODEX_HOME": "/installed-agent/codex", + "POWERCONTEXT_BUB_CAPTURE_CHECKPOINT_EVERY": str(task.evaluation.checkpoint_every_events), + "POWERCONTEXT_BUB_CAPTURE_EVENTS": str(task.evaluation.capture_events).lower(), + "POWERCONTEXT_BUB_CAPTURE_LOG": "/logs/agent/powercontext-capture.jsonl", + "POWERCONTEXT_BUB_CAPTURE_MAX_BYTES": str(task.evaluation.max_event_bytes), + "POWERCONTEXT_BUB_SCOPE_ID": scope_id, + }) + if settings.agent_proxy_url is not None: + proxy_url = settings.agent_proxy_url.get_secret_value() + agent_env.update({ + "HTTP_PROXY": proxy_url, + "HTTPS_PROXY": proxy_url, + "NO_PROXY": "127.0.0.1,localhost,host-gateway,powercontext", + "http_proxy": proxy_url, + "https_proxy": proxy_url, + "no_proxy": "127.0.0.1,localhost,host-gateway,powercontext", + }) + + return JobConfig( + job_name=run_id, + jobs_dir=output_dir / "harbor-jobs", + n_attempts=1, + n_concurrent_trials=1, + quiet=True, + environment=EnvironmentConfig( + type=EnvironmentType.DOCKER, + delete=True, + cpu_enforcement_policy=ResourceMode.IGNORE, + memory_enforcement_policy=ResourceMode.IGNORE, + extra_docker_compose=[repository / "e2e" / "bub" / "harbor-task-overlay.yaml"], + mounts=mounts, + ), + agents=[ + AgentConfig( + import_path="powercontext_e2e.harbor_agent:PowerContextBubAcpAgent", + env=agent_env, ) - span.set_attribute("output.value", result.model_output) - return result.model_output + ], + datasets=[_dataset_config(task, repository)], + ) + + +def _dataset_config(task: E2ETask, repository: Path) -> DatasetConfig: + dataset = task.dataset + if dataset.path is not None: + return DatasetConfig(path=repository / dataset.path, task_names=[dataset.task_id]) + return DatasetConfig(name=dataset.name, version=dataset.version, task_names=[dataset.task_id]) -async def _memory_snapshot(client: PowerContextClient, scope_id: str) -> MemorySnapshot: +async def memory_snapshot(client: PowerContextClient, scope_id: str) -> MemorySnapshot: response = await client.list_memory_entries(ListMemoryEntriesRequest(scope_id=scope_id)) return MemorySnapshot( entries=tuple( @@ -322,146 +248,60 @@ async def _memory_snapshot(client: PowerContextClient, scope_id: str) -> MemoryS kind=entry.kind, text=entry.text, state=entry.state.value, + source_refs=tuple( + SourceReferenceSnapshot(name=source.name, source_id=source.source_id) + for source in entry.source_refs + ), ) for entry in response.entries ) ) -async def _prepared_context(client: PowerContextClient, scope_id: str, query: str) -> PreparedContextSnapshot: +async def prepared_context(client: PowerContextClient, scope_id: str, query: str) -> PreparedContextSnapshot: prepared = await client.prepare_context(PrepareContextRequest(scope_id=scope_id, query=query)) return PreparedContextSnapshot(status=prepared.status.value, content=prepared.content or "") -def _contains_fragments(values: list[str], expected: tuple[str, ...], label: str) -> EvaluationReason: - folded_values = [value.casefold() for value in values] - missing = [fragment for fragment in expected if not any(fragment.casefold() in value for value in folded_values)] - return EvaluationReason( - value=not missing, - reason=None if not missing else f"{label} did not contain {missing!r}.", - ) - - -def _token_recall(expected: str, actual: str) -> float: - expected_tokens = set(expected.casefold().split()) - actual_tokens = set(actual.casefold().split()) - return 1.0 if not expected_tokens else len(expected_tokens & actual_tokens) / len(expected_tokens) - - -def _judge_model() -> OpenAIChatModel | str | None: - configured = os.getenv("POWERCONTEXT_E2E_JUDGE_MODEL") - model = configured or os.getenv("BUB_MODEL") - if not model: - return None - if configured and configured != os.getenv("BUB_MODEL"): - return configured - provider, separator, model_name = model.partition(":") - if separator and provider == "openai" and os.getenv("BUB_API_KEY"): - return OpenAIChatModel( - model_name, - provider=OpenAIProvider( - api_key=os.environ["BUB_API_KEY"], - base_url=os.getenv("BUB_API_BASE"), - ), - ) - if separator and provider == "deepseek" and os.getenv("BUB_API_KEY"): - os.environ.setdefault("DEEPSEEK_API_KEY", os.environ["BUB_API_KEY"]) - return model - return None - - -def _judge_model_name(model: OpenAIChatModel | str | None) -> str | None: - if model is None: - return None - if isinstance(model, str): - return model - return f"openai:{model.model_name}" - - -def _configure_tracing() -> None: - provider = trace.get_tracer_provider() - if not hasattr(provider, "add_span_processor"): - trace.set_tracer_provider(TracerProvider()) - - -def _commit() -> str: - configured = os.getenv("GITHUB_SHA") - if configured: - return configured - git = shutil.which("git") - if git is None: - return "unknown" - completed = subprocess.run( # noqa: S603 - executable is resolved by shutil.which - [git, "rev-parse", "HEAD"], - check=False, - capture_output=True, - text=True, - timeout=10, +def _harbor_observation(result: Any, settings: HarnessSettings) -> tuple[HarborTrialObservation, Path | None]: + if not result.trial_results: + return HarborTrialObservation(job_id=str(result.id)), None + trial = result.trial_results[0] + rewards = trial.verifier_result.rewards if trial.verifier_result is not None else {} + exception = trial.exception_info + return ( + HarborTrialObservation( + job_id=str(result.id), + trial_name=trial.trial_name, + trial_uri=trial.trial_uri, + task_checksum=trial.task_checksum, + rewards=rewards or {}, + exception_type=None if exception is None else exception.exception_type, + exception_message=None if exception is None else redact(exception.exception_message, settings), + started_at=trial.started_at, + finished_at=trial.finished_at, + ), + _trial_dir(trial.trial_uri), ) - return completed.stdout.strip() if completed.returncode == 0 else "unknown" - -def write_artifacts(observation: ReplayObservation, report: Report, output_dir: Path) -> None: - secrets = _runtime_secrets() - output_dir.mkdir(parents=True, exist_ok=True) - replay_payload = observation.model_dump(mode="json", by_alias=True) - _write_evidence( - output_dir / "replay.json", - json.dumps(replay_payload, indent=2, ensure_ascii=False) + "\n", - secrets, - ) - cases = [ - { - "name": case.name, - "assertions": { - name: {"value": result.value, "reason": result.reason} - for name, result in sorted(case.assertions.items()) - }, - "scores": { - name: {"value": result.value, "reason": result.reason} for name, result in sorted(case.scores.items()) - }, - "labels": { - name: {"value": result.value, "reason": result.reason} for name, result in sorted(case.labels.items()) - }, - "metrics": dict(sorted(case.metrics.items())), - "attributes": case.attributes, - "task_duration": case.task_duration, - "total_duration": case.total_duration, - } - for case in report.cases - ] - report_payload: dict[str, Any] = { - "schema": "powercontext.session-replay-evaluation/v1", - "experiment": report.name, - "cases": cases, - "failures": [{"name": failure.name, "error": failure.error_message} for failure in report.failures], - } - _write_evidence( - output_dir / "eval-report.json", - json.dumps(report_payload, indent=2, sort_keys=True, ensure_ascii=False) + "\n", - secrets, - ) - _write_evidence( - output_dir / "report.md", - "# PowerContext session replay\n\n" - f"- Scenario: `{observation.scenario.id}`\n" - f"- Mode: `{observation.environment.mode}`\n" - f"- Database: `{observation.environment.database}`\n" - f"- Status: `{observation.status}`\n\n" - "## Evaluation\n\n" - f"```text\n{report.render(include_reasons=True)}\n```\n", - secrets, - ) +def _trial_dir(trial_uri: str) -> Path | None: + parsed = urlparse(trial_uri) + return Path(unquote(parsed.path)) if parsed.scheme == "file" else None -def _runtime_secrets() -> tuple[str, ...]: - secrets = {value for name in _EVIDENCE_SECRET_ENVIRONMENT_NAMES if (value := os.getenv(name))} - return tuple(sorted(secrets, key=lambda value: (-len(value), value))) +def _load_capture_records(trial_dir: Path) -> tuple[CaptureRecord, ...]: + records: list[CaptureRecord] = [] + for path in sorted(trial_dir.rglob("powercontext-capture.jsonl")): + records.extend( + CaptureRecord.model_validate_json(line) + for line in path.read_text(encoding="utf-8").splitlines() + if line.strip() + ) + return tuple(records) -def _write_evidence(path: Path, content: str, secrets: tuple[str, ...]) -> None: - for secret in secrets: - content = content.replace(secret, _REDACTED) - content = content.replace(json.dumps(secret, ensure_ascii=False)[1:-1], _REDACTED) - path.write_text(content, encoding="utf-8") +def _native_artifacts(trial_dir: Path, names: frozenset[str]) -> tuple[NativeArtifact, ...]: + return tuple( + fingerprint(path, relative_to=trial_dir) for path in sorted(trial_dir.rglob("*")) if path.name in names + ) diff --git a/e2e/bub/src/powercontext_e2e/settings.py b/e2e/bub/src/powercontext_e2e/settings.py new file mode 100644 index 000000000..deccf0d4b --- /dev/null +++ b/e2e/bub/src/powercontext_e2e/settings.py @@ -0,0 +1,92 @@ +"""Validated configuration for the fixed Bub end-to-end harness.""" + +from __future__ import annotations + +import shutil +import subprocess +from os import environ +from pathlib import Path + +from pydantic import Field, SecretStr +from pydantic_settings import BaseSettings, SettingsConfigDict + + +def _repository_root() -> Path: + return Path(__file__).resolve().parents[4] + + +def bub_environment() -> dict[str, str]: + """Return Bub's native environment without translating its settings.""" + + return {name: value for name, value in environ.items() if name.startswith("BUB_") and value} + + +def powercontext_bub_environment() -> dict[str, str]: + """Return the PowerContext Bub integration's native environment.""" + + return {name: value for name, value in environ.items() if name.startswith("POWERCONTEXT_BUB_") and value} + + +def codex_auth_path() -> Path: + """Resolve Codex's native authentication document location.""" + + return Path(environ.get("CODEX_HOME", Path.home() / ".codex")).expanduser() / "auth.json" + + +class ModelNotConfiguredError(RuntimeError): + """Report model-backed workloads without a runtime model.""" + + def __init__(self, workload_ids: tuple[str, ...]) -> None: + joined_ids = ", ".join(workload_ids) + super().__init__(f"The following workloads require BUB_MODEL: {joined_ids}") + + +class HarnessSettings(BaseSettings): + """Configuration owned by the end-to-end harness.""" + + model_config = SettingsConfigDict( + env_ignore_empty=True, + extra="ignore", + frozen=True, + populate_by_name=True, + ) + + database: str = Field(default="unknown", validation_alias="POWERCONTEXT_E2E_DATABASE") + repository: Path = Field(default_factory=_repository_root, validation_alias="POWERCONTEXT_E2E_REPOSITORY") + commit: str | None = Field(default=None, validation_alias="GITHUB_SHA") + + agent_proxy_url: SecretStr | None = Field( + default=None, + validation_alias="POWERCONTEXT_E2E_AGENT_PROXY_URL", + ) + + def repository_path(self) -> Path: + return self.repository.expanduser().resolve() + + def commit_id(self) -> str: + if self.commit: + return self.commit + git = shutil.which("git") + if git is None: + return "unknown" + completed = subprocess.run( # noqa: S603 - executable is resolved by shutil.which + [git, "rev-parse", "HEAD"], + check=False, + capture_output=True, + text=True, + timeout=10, + ) + return completed.stdout.strip() if completed.returncode == 0 else "unknown" + + def evidence_secrets(self) -> tuple[str, ...]: + secret_names = { + name + for name in environ + if name == "BUB_API_KEY" + or (name.startswith("BUB_") and name.endswith("_API_KEY")) + or name == "POWERCONTEXT_CLIENT_API_TOKEN" + } + values = {environ[name] for name in secret_names if environ[name]} + if self.agent_proxy_url is not None and (proxy_url := self.agent_proxy_url.get_secret_value()): + values.add(proxy_url) + return tuple(sorted(values, key=lambda value: (-len(value), value))) diff --git a/e2e/bub/src/powercontext_e2e/tracing.py b/e2e/bub/src/powercontext_e2e/tracing.py deleted file mode 100644 index 77cd5a554..000000000 --- a/e2e/bub/src/powercontext_e2e/tracing.py +++ /dev/null @@ -1,59 +0,0 @@ -"""OpenTelemetry spans emitted directly from Bub interception hooks.""" - -from __future__ import annotations - -from typing import Any - -from bub import hookimpl -from bub.hooks.interception import LlmCallRequest, LlmCallResult -from bub.turn import TurnState -from opentelemetry import trace -from opentelemetry.trace import Span, Status, StatusCode - - -class BubTracingPlugin: - """Record Bub model calls in the evaluator-owned tracer provider.""" - - def __init__(self, framework: Any) -> None: - del framework - self.tracer = trace.get_tracer("powercontext.e2e.bub") - self.active_model_spans: dict[str, Span] = {} - - @hookimpl - def before_llm_call(self, request: LlmCallRequest, state: TurnState) -> None: - del state - span = self.tracer.start_span("bub.model") - span.set_attribute("gen_ai.operation.name", "chat") - span.set_attribute("gen_ai.request.model", request.model) - span.set_attribute("bub.run_id", request.run_id) - span.set_attribute("bub.tool_names", request.tool_names) - self.active_model_spans[request.run_id] = span - - @hookimpl - def after_llm_call(self, request: LlmCallRequest, result: LlmCallResult, state: TurnState) -> None: - del request, state - span = self.active_model_spans.pop(result.run_id, None) - if span is None: - return - - if result.text: - span.set_attribute("output.value", result.text) - if result.error is not None: - span.record_exception(result.error) - span.set_status(Status(StatusCode.ERROR, str(result.error))) - _record_usage(span, result.usage) - span.end() - - -def _record_usage(span: Span, usage: dict[str, Any] | None) -> None: - if usage is None: - return - for source, target in ( - ("prompt_tokens", "gen_ai.usage.input_tokens"), - ("input_tokens", "gen_ai.usage.input_tokens"), - ("completion_tokens", "gen_ai.usage.output_tokens"), - ("output_tokens", "gen_ai.usage.output_tokens"), - ): - value = usage.get(source) - if isinstance(value, int) and not isinstance(value, bool): - span.set_attribute(target, value) diff --git a/e2e/bub/tests/test_evidence_redaction.py b/e2e/bub/tests/test_evidence_redaction.py index 209402d5a..e4769e2bd 100644 --- a/e2e/bub/tests/test_evidence_redaction.py +++ b/e2e/bub/tests/test_evidence_redaction.py @@ -2,204 +2,106 @@ import json from datetime import UTC, datetime +from hashlib import sha256 from pathlib import Path -from types import SimpleNamespace -from typing import Any - -from pydantic_evals.otel import SpanNode +from powercontext_e2e.artifacts import write_artifacts +from powercontext_e2e.catalog import load_tasks +from powercontext_e2e.evaluation import MemoryEvaluator +from powercontext_e2e.evidence import load_resolved_instructions from powercontext_e2e.models import ( + HarborTrialObservation, MemoryEntrySnapshot, MemorySnapshot, - PreparedContextSnapshot, - ReplayObservation, + ResolvedInstruction, RunEnvironment, - ScenarioSpec, - SessionObservation, + TaskObservation, ) -from powercontext_e2e.runner import write_artifacts - - -def test_write_artifacts_redacts_known_runtime_secrets_at_every_sink(monkeypatch, tmp_path: Path) -> None: - runtime_secrets = ("provider-runtime-secret-sentinel", "server-runtime-secret-sentinel") - monkeypatch.setenv("BUB_API_KEY", runtime_secrets[0]) - monkeypatch.setenv("POWERCONTEXT_SERVER_AUTH_TOKEN", runtime_secrets[1]) - - observation = _observation( - session_input=f"Question containing {runtime_secrets[0]}", - memory_text="The project selected OceanBase.", - context="OceanBase supports shared persistent context.", - output=f"Output containing {runtime_secrets[0]}", - error=f"Request failed with {runtime_secrets[1]}", - span_attributes={"gen_ai.operation.name": "chat"}, - ) - report = _report( - assertion_reason=f"Judge echoed {runtime_secrets[0]}", - score_reason="The expected fact was present.", - label_reason="pass", - attributes={"mode": "live"}, - failure=f"Request failed with {runtime_secrets[1]}", - rendered=f"Run contained {runtime_secrets[0]} and {runtime_secrets[1]}", - ) - - write_artifacts(observation, report, tmp_path) - - artifacts = {path.name: path.read_text(encoding="utf-8") for path in tmp_path.iterdir()} - assert set(artifacts) == {"eval-report.json", "replay.json", "report.md"} - for artifact_name, content in artifacts.items(): - for secret in runtime_secrets: - assert secret not in content, f"{secret!r} leaked into {artifact_name}" - assert "[REDACTED]" in content - - json.loads(artifacts["replay.json"]) - json.loads(artifacts["eval-report.json"]) - - -def test_write_artifacts_preserves_normal_live_replay_schema(tmp_path: Path) -> None: - observation = _observation( - session_input="Which database was selected?", - memory_text="The project selected OceanBase; Bearer authentication is unrelated.", - context="OceanBase supports shared persistent context.", - output="The project selected OceanBase.", - error=None, - span_attributes={ - "gen_ai.operation.name": "chat", - "gen_ai.request.model": "deepseek-v4-flash", - "gen_ai.usage.input_tokens": 21, - "http.url": "https://provider.example/v1?mode=live", - }, - ) - report = _report( - assertion_reason="The run completed.", - score_reason="The expected fact was present.", - label_reason="pass", - attributes={"mode": "live"}, - failure=None, - rendered="All checks passed.", - ) - expected_replay = json.loads(observation.model_dump_json(by_alias=True)) - expected_evaluation = { - "schema": "powercontext.session-replay-evaluation/v1", - "experiment": "live:database-decision", - "cases": [ - { - "name": "database-decision", - "assertions": {"run_completed": {"value": True, "reason": "The run completed."}}, - "scores": {"answer": {"value": 1.0, "reason": "The expected fact was present."}}, - "labels": {"judge": {"value": "pass", "reason": "pass"}}, - "metrics": {"model_calls": 1}, - "attributes": {"mode": "live"}, - "task_duration": 0.25, - "total_duration": 0.5, - } - ], - "failures": [], - } - - write_artifacts(observation, report, tmp_path) - - actual_replay = json.loads((tmp_path / "replay.json").read_text(encoding="utf-8")) - actual_evaluation = json.loads((tmp_path / "eval-report.json").read_text(encoding="utf-8")) - assert actual_replay == expected_replay - assert actual_evaluation == expected_evaluation - assert ReplayObservation.model_validate(actual_replay) == observation - - -def _observation( - *, - session_input: str, - memory_text: str, - context: str, - output: str, - error: str | None, - span_attributes: dict[str, Any], -) -> ReplayObservation: - scenario = ScenarioSpec.model_validate({ - "schema": "powercontext.session-replay/v1", - "id": "database-decision", - "sessions": [ - { - "id": "recall", - "input": session_input, - "expected_answer": "The project selected OceanBase.", - } - ], - }) - memory = MemorySnapshot( - entries=( - MemoryEntrySnapshot( - entry_id="memory-1", - entry_version_id="memory-version-1", - version=1, - kind="fact", - text=memory_text, - state="committed", - ), - ) - ) - session = SessionObservation( - id="recall", - agent_session_id="session-1", - status="failed" if error else "completed", - error=error, - prepared_context=PreparedContextSnapshot(status="ready", content=context), - output=output, - memory_after=memory, +from powercontext_e2e.settings import HarnessSettings + + +def test_resolved_instruction_evidence_matches_harbor_acp_summaries( + monkeypatch, + tmp_path: Path, +) -> None: + sensitive_value = "instruction-secret-sentinel" + monkeypatch.setenv("BUB_API_KEY", sensitive_value) + summary_path = tmp_path / "steps" / "capture" / "agent" / "acp-summary.json" + summary_path.parent.mkdir(parents=True) + instruction = f"Inspect the database with {sensitive_value}." + summary_path.write_text(json.dumps({"instruction": instruction}), encoding="utf-8") + + resolved = load_resolved_instructions(tmp_path, HarnessSettings()) + + assert len(resolved) == 1 + assert resolved[0].step == "capture" + assert resolved[0].artifact == "steps/capture/agent/acp-summary.json" + assert resolved[0].content == "Inspect the database with [REDACTED]." + assert resolved[0].sha256 == sha256(instruction.encode()).hexdigest() + + +def test_final_evidence_redacts_configured_secrets_and_preserves_the_public_schema( + monkeypatch, + tmp_path: Path, +) -> None: + sensitive_value = "provider-runtime-secret-sentinel" + monkeypatch.setenv("BUB_API_KEY", sensitive_value) + repository = Path(__file__).resolve().parents[3] + task = next( + task for task in load_tasks(repository / "e2e" / "bub" / "tasks") if task.id == "project-database-decision" ) - timestamp = datetime(2026, 8, 11, 1, 2, 3, tzinfo=UTC) - span = SpanNode( - name="bub.model", - trace_id=1, - span_id=2, - parent_span_id=None, - start_timestamp=timestamp, - end_timestamp=timestamp, - attributes=span_attributes, - ) - return ReplayObservation( - run_id="database-decision-run", + recorded_at = datetime(2026, 8, 13, tzinfo=UTC) + observation = TaskObservation( + run_id="evidence-test", environment=RunEnvironment( - mode="live", commit="abcdef0", database="sqlite", - agent_model="deepseek:deepseek-v4-flash", - generation_model="deepseek:deepseek-v4-flash", - judge_model="deepseek:deepseek-v4-flash", - started_at=timestamp, + adapter_version="test-adapter", + adapter_protocol_version="test-protocol", + started_at=recorded_at, + finished_at=recorded_at, + ), + task=task, + status="failed", + errors=(f"Provider returned {sensitive_value}",), + harbor=HarborTrialObservation( + task_checksum=task.dataset.checksum, + exception_type="ProviderError", + exception_message=f"Provider returned {sensitive_value}", + ), + resolved_instructions=( + ResolvedInstruction( + artifact="acp-summary.json", + content=f"Use credential {sensitive_value} to complete the task.", + sha256="a" * 64, + ), + ), + memory_before=MemorySnapshot(), + memory_after=MemorySnapshot( + entries=( + MemoryEntrySnapshot( + entry_id="entry-1", + entry_version_id="entry-version-1", + version=1, + kind="project-decision", + text="The project selected OceanBase.", + state="active", + ), + ) ), - scenario=scenario, - status="failed" if error else "completed", - errors=(error,) if error else (), - memory_before=memory, - memory_after=memory, - sessions=(session,), - spans=(span,), ) + report = MemoryEvaluator.evaluate(observation, experiment="evidence-test") + write_artifacts(observation, report, tmp_path, settings=HarnessSettings()) -def _report( - *, - assertion_reason: str, - score_reason: str, - label_reason: str, - attributes: dict[str, Any], - failure: str | None, - rendered: str, -) -> Any: - case = SimpleNamespace( - name="database-decision", - assertions={"run_completed": SimpleNamespace(value=True, reason=assertion_reason)}, - scores={"answer": SimpleNamespace(value=1.0, reason=score_reason)}, - labels={"judge": SimpleNamespace(value="pass", reason=label_reason)}, - metrics={"model_calls": 1}, - attributes=attributes, - task_duration=0.25, - total_duration=0.5, - ) - failures = [] if failure is None else [SimpleNamespace(name="judge", error_message=failure)] - return SimpleNamespace( - name="live:database-decision", - cases=[case], - failures=failures, - render=lambda include_reasons: rendered, - ) + artifacts = {path.name: path.read_text(encoding="utf-8") for path in tmp_path.iterdir()} + assert set(artifacts) == {"eval-report.json", "replay.json", "report.md"} + assert all(sensitive_value not in content for content in artifacts.values()) + assert all("[REDACTED]" in content for content in artifacts.values()) + replay = json.loads(artifacts["replay.json"]) + evaluation = json.loads(artifacts["eval-report.json"]) + assert replay["schema"] == "powercontext.e2e-evidence/v1" + assert replay["task"]["execution"]["type"] == "bub" + assert replay["resolved_instructions"][0]["content"] == "Use credential [REDACTED] to complete the task." + assert evaluation["schema"] == "powercontext.e2e-evaluation/v1" + assert evaluation["cases"][0]["attributes"]["execution_adapter"] == "bub" diff --git a/e2e/bub/tests/test_long_horizon_acceptance.py b/e2e/bub/tests/test_long_horizon_acceptance.py new file mode 100644 index 000000000..11d66963e --- /dev/null +++ b/e2e/bub/tests/test_long_horizon_acceptance.py @@ -0,0 +1,117 @@ +from __future__ import annotations + +from datetime import UTC, datetime +from pathlib import Path + +from powercontext_e2e.catalog import load_tasks +from powercontext_e2e.evaluation import MemoryEvaluator +from powercontext_e2e.models import ( + CaptureRecord, + HarborTrialObservation, + MemoryEntrySnapshot, + MemorySnapshot, + NativeArtifact, + PreparedContextSnapshot, + RecallProbeObservation, + ResolvedInstruction, + RunEnvironment, + SourceReferenceSnapshot, + TaskObservation, +) + + +def test_memory_acceptance_does_not_require_the_harbor_task_to_pass() -> None: + repository = Path(__file__).resolve().parents[3] + task = next( + task for task in load_tasks(repository / "e2e" / "bub" / "tasks") if task.id == "terminal-bench-db-wal-recovery" + ) + recorded_at = datetime(2026, 8, 13, tzinfo=UTC) + captured_source = "bub-event:captured" + observation = TaskObservation( + run_id="behavior-test", + environment=RunEnvironment( + commit="abcdef0", + database="sqlite", + adapter_version="test-adapter", + adapter_protocol_version="test-protocol", + agent_model="test:model", + started_at=recorded_at, + finished_at=recorded_at, + ), + task=task, + status="completed", + harbor=HarborTrialObservation( + job_id="job-id", + trial_name="trial-name", + task_checksum=task.dataset.checksum, + rewards={"reward": 1 / 3}, + ), + capture_records=( + CaptureRecord( + schema="powercontext.bub-capture-event/v1", + recorded_at=recorded_at, + event="user_prompt", + status="captured", + sequence=1, + source_id=captured_source, + source_position=1, + ), + CaptureRecord( + schema="powercontext.bub-capture-event/v1", + recorded_at=recorded_at, + event="checkpoint", + status="advanced", + target_position=1, + current_cursor=1, + memory_created=True, + ), + CaptureRecord( + schema="powercontext.bub-capture-event/v1", + recorded_at=recorded_at, + event="context", + status="ready", + content_bytes=128, + captured_events=1, + flushed_position=1, + ), + ), + native_artifacts=tuple( + NativeArtifact(name=name, sha256="a" * 64, bytes=1) + for name in ("acp-summary.json", "acp-events.jsonl", "trajectory.json") + ), + resolved_instructions=( + ResolvedInstruction( + artifact="acp-summary.json", + content="Recover the database and write /app/recovered.json.", + sha256="b" * 64, + ), + ), + memory_before=MemorySnapshot(), + memory_after=MemorySnapshot( + entries=( + MemoryEntrySnapshot( + entry_id="entry-1", + entry_version_id="entry-version-1", + version=1, + kind="task-finding", + text="The WAL investigation produced a grounded finding.", + state="active", + source_refs=(SourceReferenceSnapshot(name="content", source_id=captured_source),), + ), + ) + ), + probes=tuple( + RecallProbeObservation( + id=probe.id, + query=probe.query, + prepared_context=PreparedContextSnapshot(status="ready", content="Grounded task evidence."), + ) + for probe in task.evaluation.probes + ), + ) + + report = MemoryEvaluator.evaluate(observation, experiment="behavior-test") + + assert report.accepted + assert report.cases[0].scores["harbor_reward_reward"].value == 1 / 3 + assert report.cases[0].labels["task_outcome"].value == "not_passed" diff --git a/e2e/bub/tests/test_run_script.py b/e2e/bub/tests/test_run_script.py deleted file mode 100644 index 5c2c21f8e..000000000 --- a/e2e/bub/tests/test_run_script.py +++ /dev/null @@ -1,199 +0,0 @@ -from __future__ import annotations - -import os -import subprocess -from pathlib import Path - -import pytest - -_REPOSITORY_ROOT = Path(__file__).parents[3] -_RUN_SCRIPT = _REPOSITORY_ROOT / "e2e" / "bub" / "run.sh" - - -@pytest.mark.parametrize( - ("failed_command", "exit_code"), - [ - ("build", 31), - ("up", 32), - ("run", 33), - ], -) -def test_failure_cleans_compose_resources_and_preserves_exit_code( - tmp_path: Path, - failed_command: str, - exit_code: int, -) -> None: - result, state = _run_with_fake_docker( - tmp_path, - failed_command=failed_command, - exit_code=exit_code, - ) - - assert result.returncode == exit_code - assert list(state.iterdir()) == [] - - -def test_cleanup_failure_does_not_mask_harness_exit_code(tmp_path: Path) -> None: - result, state = _run_with_fake_docker( - tmp_path, - failed_command="run", - exit_code=33, - cleanup_exit_code=71, - ) - - assert result.returncode == 33 - assert list(state.iterdir()) == [] - assert "Compose cleanup failed with exit code 71" in result.stderr - - -def test_success_uses_the_same_cleanup_path(tmp_path: Path) -> None: - result, state = _run_with_fake_docker( - tmp_path, - failed_command="none", - exit_code=0, - ) - - assert result.returncode == 0 - assert list(state.iterdir()) == [] - - -def test_cleanup_failure_makes_a_successful_run_fail(tmp_path: Path) -> None: - result, state = _run_with_fake_docker( - tmp_path, - failed_command="none", - exit_code=0, - cleanup_exit_code=71, - ) - - assert result.returncode == 71 - assert list(state.iterdir()) == [] - assert "Compose cleanup failed with exit code 71" in result.stderr - - -def test_startup_failure_reports_compose_diagnostics(tmp_path: Path) -> None: - result, _ = _run_with_fake_docker( - tmp_path, - failed_command="up", - exit_code=32, - ) - - assert result.returncode == 32 - assert "Compose startup failed; service state:" in result.stderr - assert "fake compose state" in result.stderr - assert "fake compose logs" in result.stderr - - -def test_oceanbase_startup_retries_once(tmp_path: Path) -> None: - result, state = _run_with_fake_docker( - tmp_path, - failed_command="up", - exit_code=32, - database="oceanbase", - startup_failures=1, - ) - - assert result.returncode == 0 - assert list(state.iterdir()) == [] - assert result.stderr.count("Compose startup failed; service state:") == 1 - assert "Retrying OceanBase Compose startup (attempt 2 of 2)." in result.stderr - - -def test_persistent_oceanbase_startup_failure_preserves_exit_code(tmp_path: Path) -> None: - result, state = _run_with_fake_docker( - tmp_path, - failed_command="up", - exit_code=32, - database="oceanbase", - startup_failures=2, - ) - - assert result.returncode == 32 - assert list(state.iterdir()) == [] - assert result.stderr.count("Compose startup failed; service state:") == 2 - assert result.stderr.count("Retrying OceanBase Compose startup") == 1 - - -def _run_with_fake_docker( - tmp_path: Path, - *, - failed_command: str, - exit_code: int, - cleanup_exit_code: int = 0, - database: str = "sqlite", - startup_failures: int = 1000, -) -> tuple[subprocess.CompletedProcess[str], Path]: - fake_bin = tmp_path / "bin" - fake_bin.mkdir() - state = tmp_path / "state" - state.mkdir() - docker = fake_bin / "docker" - docker.write_text( - """#!/bin/sh -set -eu - -command= -for argument in "$@"; do - case "$argument" in - build | config | down | logs | ps | run | up) - command=$argument - break - ;; - esac -done - -case "$command" in - build | run) - touch "$FAKE_DOCKER_STATE/container" "$FAKE_DOCKER_STATE/network" "$FAKE_DOCKER_STATE/volume" - if [ "$FAKE_DOCKER_FAIL" = "$command" ]; then - exit "$FAKE_DOCKER_EXIT" - fi - ;; - up) - touch "$FAKE_DOCKER_STATE/container" "$FAKE_DOCKER_STATE/network" "$FAKE_DOCKER_STATE/volume" - count=0 - if [ -f "$FAKE_DOCKER_UP_COUNT" ]; then - count=$(cat "$FAKE_DOCKER_UP_COUNT") - fi - count=$((count + 1)) - echo "$count" > "$FAKE_DOCKER_UP_COUNT" - if [ "$FAKE_DOCKER_FAIL" = up ] && [ "$count" -le "$FAKE_DOCKER_STARTUP_FAILURES" ]; then - exit "$FAKE_DOCKER_EXIT" - fi - ;; - ps) - echo "fake compose state" - ;; - logs) - echo "fake compose logs" - ;; - down) - rm -f "$FAKE_DOCKER_STATE"/* - exit "$FAKE_DOCKER_CLEANUP_EXIT" - ;; -esac -""", - encoding="utf-8", - ) - docker.chmod(0o755) - environment = os.environ.copy() - environment.update({ - "FAKE_DOCKER_CLEANUP_EXIT": str(cleanup_exit_code), - "FAKE_DOCKER_EXIT": str(exit_code), - "FAKE_DOCKER_FAIL": failed_command, - "FAKE_DOCKER_STATE": str(state), - "FAKE_DOCKER_STARTUP_FAILURES": str(startup_failures), - "FAKE_DOCKER_UP_COUNT": str(tmp_path / "up-count"), - "GITHUB_SHA": "test-revision", - "PATH": f"{fake_bin}{os.pathsep}{environment['PATH']}", - "POWERCONTEXT_E2E_DATABASE": database, - "POWERCONTEXT_E2E_OUTPUT": str(tmp_path / "evidence"), - }) - result = subprocess.run( # noqa: S603 - executes the repository script with an isolated fake Docker binary. - ["/bin/sh", str(_RUN_SCRIPT), "acceptance"], - cwd=_REPOSITORY_ROOT, - env=environment, - check=False, - capture_output=True, - text=True, - ) - return result, state diff --git a/e2e/bub/uv.lock b/e2e/bub/uv.lock index d05276f1b..31ebfa069 100644 --- a/e2e/bub/uv.lock +++ b/e2e/bub/uv.lock @@ -2,8 +2,12 @@ version = 1 revision = 3 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