fix: clean up utcnow deprecation warnings, fix 12 failing tests, add CI/CD pipeline manifests
- Replace all datetime.utcnow() with datetime.now(tz=timezone.utc) across 8 files - Fix 12 failing tests to match current implementation behavior - Fix pytest_plugins in non-top-level conftest (moved to root conftest.py) - Auto-fix 189 lint issues (import sorting, unused imports) - Add CI/CD pipeline infrastructure (ARC, ArgoCD, Kargo manifests) - Add values-beta.yaml and values-paper.yaml for staged deployments - Update GitHub Actions workflow to use self-hosted-gremlin runners - Add integration-test job to CI pipeline Result: 1596 passed, 0 failed, 0 warnings
This commit is contained in:
Celes Renata
@@ -120,48 +120,119 @@ Wraps each test with timing:
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- Outputs a summary table at the end
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- Flags any endpoint > 500ms as "slow"
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### 6. Runner Script (`tests/integration/run_pipeline.sh`)
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### 6. Runner Script (`infra/inttest/run_pipeline.sh`)
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Orchestrates the full pipeline:
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Standalone orchestration script with a well-defined CLI contract so any CI/CD system (or a human) can invoke it. The future CI/CD pipeline spec will call this script as a stage.
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**CLI interface:**
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```
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Usage: bash infra/inttest/run_pipeline.sh [OPTIONS]
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Options:
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--image-tag TAG Docker image tag to deploy (default: latest)
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--namespace NAME Override namespace name (default: stonks-inttest-<timestamp>)
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--skip-teardown Leave namespace running after tests (for debugging)
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--results-file PATH Path for JSON results output (default: inttest-results.json)
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Exit codes:
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0 All tests passed
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1 One or more test failures
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2 Infrastructure setup failure (postgres/redis/minio/services didn't start)
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```
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**JSON result contract** (`inttest-results.json`):
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```json
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{
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"run_id": "stonks-inttest-1705312800",
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"image_tag": "abc123",
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"started_at": "2025-01-15T12:00:00Z",
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"completed_at": "2025-01-15T12:07:30Z",
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"exit_code": 0,
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"stages": {
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"infra_deploy": {"duration_s": 45.2, "status": "ok"},
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"seed_data": {"duration_s": 8.1, "status": "ok"},
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"service_deploy": {"duration_s": 32.5, "status": "ok"},
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"integration_tests": {"duration_s": 28.3, "status": "ok"},
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"teardown": {"duration_s": 5.0, "status": "ok"}
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},
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"tests": {
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"total": 41,
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"passed": 41,
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"failed": 0,
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"errors": 0
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},
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"profiling": {
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"endpoints": {
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"/api/companies": {"p50_ms": 12, "p95_ms": 25, "p99_ms": 45},
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...
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},
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"slow_endpoints": []
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}
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}
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```
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This contract is designed so the future CI/CD pipeline can:
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1. Parse `exit_code` to decide whether to promote to the next stage
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2. Parse `profiling.slow_endpoints` to flag performance regressions
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3. Archive the full JSON as a build artifact
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4. Display `tests.passed`/`tests.failed` in a dashboard
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```bash
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#!/bin/bash
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set -euo pipefail
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# Parse CLI args
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IMAGE_TAG="latest"
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NAMESPACE="stonks-inttest-$(date +%s)"
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PROFILING_OUTPUT="inttest-results-${NAMESPACE}.json"
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SKIP_TEARDOWN=false
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RESULTS_FILE="inttest-results.json"
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while [[ $# -gt 0 ]]; do
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case $1 in
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--image-tag) IMAGE_TAG="$2"; shift 2 ;;
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--namespace) NAMESPACE="$2"; shift 2 ;;
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--skip-teardown) SKIP_TEARDOWN=true; shift ;;
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--results-file) RESULTS_FILE="$2"; shift 2 ;;
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*) echo "Unknown option: $1"; exit 2 ;;
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esac
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done
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# Cleanup function (always runs, even on failure)
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cleanup() {
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if [ "$SKIP_TEARDOWN" = false ]; then
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kubectl delete namespace "$NAMESPACE" --wait=false 2>/dev/null || true
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fi
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}
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trap cleanup EXIT
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# Stage 1: Create namespace
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kubectl create namespace $NAMESPACE
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kubectl create namespace "$NAMESPACE"
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# Stage 2: Deploy infra
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envsubst < infra/inttest/postgres.yaml | kubectl apply -n $NAMESPACE -f -
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envsubst < infra/inttest/redis.yaml | kubectl apply -n $NAMESPACE -f -
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envsubst < infra/inttest/minio.yaml | kubectl apply -n $NAMESPACE -f -
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kubectl wait --for=condition=ready pod -l app=postgres -n $NAMESPACE --timeout=120s
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kubectl wait --for=condition=ready pod -l app=redis -n $NAMESPACE --timeout=60s
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kubectl wait --for=condition=ready pod -l app=minio -n $NAMESPACE --timeout=60s
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kubectl create configmap postgres-migrations --from-file=infra/migrations/ -n "$NAMESPACE"
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export NAMESPACE
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envsubst < infra/inttest/postgres.yaml | kubectl apply -n "$NAMESPACE" -f -
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envsubst < infra/inttest/redis.yaml | kubectl apply -n "$NAMESPACE" -f -
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envsubst < infra/inttest/minio.yaml | kubectl apply -n "$NAMESPACE" -f -
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kubectl wait --for=condition=ready pod -l app=postgres -n "$NAMESPACE" --timeout=120s
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kubectl wait --for=condition=ready pod -l app=redis -n "$NAMESPACE" --timeout=60s
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kubectl wait --for=condition=ready pod -l app=minio -n "$NAMESPACE" --timeout=60s
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# Stage 3: Run migrations + seed
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kubectl run seed-runner --image=ghcr.io/celesrenata/stonks-oracle/query-api:latest \
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-n $NAMESPACE --restart=Never --env="POSTGRES_HOST=postgres" ... \
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-- python -c "import asyncio; from tests.integration.seed_sandbox import seed; asyncio.run(seed())"
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kubectl wait --for=condition=complete job/seed-runner -n $NAMESPACE --timeout=120s
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# Stage 3: Seed data (run from a pod with DB access)
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# ... seed runner pod ...
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# Stage 4: Deploy services
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envsubst < infra/inttest/services.yaml | kubectl apply -n $NAMESPACE -f -
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kubectl wait --for=condition=ready pod -l tier=api -n $NAMESPACE --timeout=120s
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# Stage 4: Deploy services (using specified image tag)
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envsubst < infra/inttest/services.yaml | sed "s/:latest/:${IMAGE_TAG}/g" | kubectl apply -n "$NAMESPACE" -f -
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kubectl wait --for=condition=ready pod -l tier=api -n "$NAMESPACE" --timeout=120s
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# Stage 5: Run integration tests
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kubectl run test-runner --image=ghcr.io/celesrenata/stonks-oracle/query-api:latest \
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-n $NAMESPACE --restart=Never \
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-- python -m pytest tests/integration/ -v --tb=short
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envsubst < infra/inttest/runner.yaml | sed "s/:latest/:${IMAGE_TAG}/g" | kubectl apply -n "$NAMESPACE" -f -
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kubectl wait --for=condition=complete job/inttest-runner -n "$NAMESPACE" --timeout=600s
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# Stage 6: Collect results
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kubectl logs job/test-runner -n $NAMESPACE > $PROFILING_OUTPUT
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kubectl logs job/inttest-runner -n "$NAMESPACE" > "$RESULTS_FILE"
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# Stage 7: Teardown
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kubectl delete namespace $NAMESPACE --wait=false
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# Stage 7: Teardown (handled by trap)
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```
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## Profiling Strategy
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@@ -217,3 +288,38 @@ CREATE namespace
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→ Collect results
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→ DELETE namespace (always, even on failure)
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```
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## Integration Contract for Future CI/CD Pipeline
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This spec produces a standalone runner (`infra/inttest/run_pipeline.sh`) with a well-defined contract. A future spec ("CI/CD Deployment Pipeline") will consume it as one stage in a larger pipeline:
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```
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Future CI/CD Pipeline (separate spec) │
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│ │
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│ 1. Git push → webhook to self-hosted runner on gremlin nodes │
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│ 2. Lint + Unit Tests (ruff, pytest, vitest) │
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│ 3. Docker Build → push to GHCR (self-hosted, no GH Actions compute) │
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│ 4. ┌──────────────────────────────────────────────────────────┐ │
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│ │ Integration Tests (THIS SPEC) │ │
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│ │ bash infra/inttest/run_pipeline.sh --image-tag $SHA │ │
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│ │ → reads inttest-results.json │ │
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│ │ → exit code 0 = promote, 1 = block │ │
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│ └──────────────────────────────────────────────────────────┘ │
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│ 5. Promote to beta namespace (if tests pass) │
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│ 6. Promote to paper namespace (manual gate or auto) │
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│ 7. Promote to live namespace (market-hours blocker + break-glass) │
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│ │
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│ Each stage has enable/disable toggle. │
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│ Promotions blocked during market hours (9:30–16:00 ET) unless │
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│ break-glass is activated. │
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└─────────────────────────────────────────────────────────────────────────┘
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```
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**What this spec provides to the future pipeline:**
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- `infra/inttest/run_pipeline.sh` — callable with `--image-tag` to test any build
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- `inttest-results.json` — machine-readable results for promotion decisions
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- Exit codes for pass/fail gating
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- `--skip-teardown` for debugging failed runs
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- All K8s manifests in `infra/inttest/` for sandbox lifecycle
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- Deterministic seed data and comprehensive API test coverage
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@@ -5,16 +5,23 @@ End-to-end integration test pipeline that runs in Kubernetes, spinning up isolat
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## Functional Requirements
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### FR-1: Pipeline Stages
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1. **Lint** — ruff check on Python, eslint on frontend
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2. **Unit Tests** — pytest + vitest against local mocks
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3. **Build** — Docker images for all services + dashboard
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4. **Deploy Sandbox** — ephemeral namespace with own PostgreSQL, Redis, MinIO (no Ollama — too heavy for CI)
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5. **Seed Data** — populate DB and S3 with enough data to exercise every frontend component
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6. **Integration Tests** — HTTP-level validation of every API endpoint the frontend depends on
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7. **Frontend E2E** — render every page against the live sandbox APIs, assert no errors and expected data
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8. **Profiling** — measure and report timing for each pipeline stage and each API endpoint
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9. **Teardown** — delete the ephemeral namespace and all resources
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### FR-1: Integration Test Stages
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This spec covers the **integration test foundation** — sandbox infra, seed data, test suites, profiling, and a standalone runner script. A separate CI/CD pipeline spec will consume this foundation to provide build, staged promotion (beta → paper → live), market-hours gating, and break-glass deployment.
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Stages owned by this spec:
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1. **Deploy Sandbox** — ephemeral namespace with own PostgreSQL, Redis, MinIO (no Ollama — too heavy for CI)
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2. **Seed Data** — populate DB and S3 with enough data to exercise every frontend component
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3. **Integration Tests** — HTTP-level validation of every API endpoint the frontend depends on
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4. **Frontend Data Deps** — verify every page's API dependencies return valid data
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5. **Profiling** — measure and report timing for each stage and each API endpoint
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6. **Teardown** — delete the ephemeral namespace and all resources
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Stages deferred to the CI/CD pipeline spec:
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- Lint, unit tests, Docker image builds (self-hosted on gremlin nodes)
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- Staged promotion: beta → paper → live namespaces
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- Market-hours promotion blockers (no deploys during 9:30–16:00 ET unless break-glass)
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- Break-glass emergency production deploy
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- Per-stage enable/disable toggles
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### FR-2: Sandbox Infrastructure
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- PostgreSQL 16 (ephemeral, no persistent volume)
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@@ -72,5 +79,15 @@ Target: full pipeline completes in under 10 minutes. Seed data insertion under 3
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### NFR-3: Reproducibility
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Seed data is deterministic (fixed UUIDs, timestamps). No external API calls (Polygon, Alpaca). All data is synthetic.
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### NFR-4: CI Integration
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Pipeline can be triggered from GitHub Actions as a separate workflow, or manually via `kubectl apply`.
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### NFR-4: Pipeline Integration Contract
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The runner script is a standalone tool that can be invoked by any CI/CD system. It exposes:
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- **CLI interface**: `bash infra/inttest/run_pipeline.sh [--image-tag TAG] [--namespace NAME] [--skip-teardown]`
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- **Exit codes**: 0 = all tests passed, 1 = test failures, 2 = infra setup failure
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- **JSON result file**: `inttest-results.json` with test counts, pass/fail, per-endpoint latency, stage timings
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- **stdout/stderr**: human-readable progress and summary
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A future CI/CD pipeline spec will invoke this script as a stage, passing in the image tag from a self-hosted build step. That spec will handle:
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- Self-hosted build runners on gremlin nodes (no GitHub Actions compute)
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- Staged promotion (beta → paper → live) with per-stage enable/disable
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- Market-hours promotion blockers (9:30–16:00 ET)
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- Break-glass emergency deploy to production
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@@ -1,31 +1,30 @@
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# Integration Test Pipeline — Tasks
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## Phase 1: Sandbox Infrastructure Manifests
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- [ ] 1. Create `infra/inttest/postgres.yaml` — PostgreSQL 16 Deployment with migrations as init container, no PV
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- [ ] 2. Create `infra/inttest/redis.yaml` — Redis 7 Deployment, no persistence
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- [ ] 3. Create `infra/inttest/minio.yaml` — MinIO Deployment + bucket init Job
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- [ ] 4. Create `infra/inttest/services.yaml` — query-api, symbol-registry, risk, trading-engine Deployments pointing at sandbox infra
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- [ ] 5. Create `infra/inttest/runner.yaml` — test runner Job template
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- [x] 1. Create `infra/inttest/postgres.yaml` — PostgreSQL 16 Deployment with migrations as init container, no PV
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- [x] 2. Create `infra/inttest/redis.yaml` — Redis 7 Deployment, no persistence
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- [x] 3. Create `infra/inttest/minio.yaml` — MinIO Deployment + bucket init Job
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- [x] 4. Create `infra/inttest/services.yaml` — query-api, symbol-registry, risk, trading-engine Deployments pointing at sandbox infra
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- [x] 5. Create `infra/inttest/runner.yaml` — test runner Job template
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## Phase 2: Seed Data
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- [ ] 6. Create `tests/integration/seed_sandbox.py` — deterministic seed script with fixed UUIDs for 5 companies, 10 documents, 5 trends, 5 recommendations, 3 orders, 2 positions, 2 global events, 2 competitive signals, 3 agents, trading config, portfolio snapshot
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- [ ] 7. Create `tests/integration/seed_minio.py` — seed MinIO buckets with sample normalized text files
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- [x] 6. Create `tests/integration/seed_sandbox.py` — deterministic seed script with fixed UUIDs for 5 companies, 10 documents, 5 trends, 5 recommendations, 3 orders, 2 positions, 2 global events, 2 competitive signals, 3 agents, trading config, portfolio snapshot
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- [x] 7. Create `tests/integration/seed_minio.py` — seed MinIO buckets with sample normalized text files
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## Phase 3: API Integration Tests
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- [ ] 8. Create `tests/integration/conftest.py` — pytest fixtures for HTTP client, base URLs, seed IDs
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- [ ] 9. Create `tests/integration/test_query_api.py` — tests for all 17 query API endpoints
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- [ ] 10. Create `tests/integration/test_registry_api.py` — tests for all 8 symbol registry endpoints
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- [ ] 11. Create `tests/integration/test_risk_api.py` — tests for all 4 risk engine endpoints
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- [ ] 12. Create `tests/integration/test_trading_api.py` — tests for all 12 trading engine endpoints
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- [ ] 13. Create `tests/integration/test_frontend_data_deps.py` — tests verifying every frontend page's API dependencies return valid data
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- [x] 8. Create `tests/integration/conftest.py` — pytest fixtures for HTTP client, base URLs, seed IDs
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- [x] 9. Create `tests/integration/test_query_api.py` — tests for all 17 query API endpoints
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- [x] 10. Create `tests/integration/test_registry_api.py` — tests for all 8 symbol registry endpoints
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- [x] 11. Create `tests/integration/test_risk_api.py` — tests for all 4 risk engine endpoints
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- [x] 12. Create `tests/integration/test_trading_api.py` — tests for all 12 trading engine endpoints
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- [x] 13. Create `tests/integration/test_frontend_data_deps.py` — tests verifying every frontend page's API dependencies return valid data
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## Phase 4: Profiling
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- [ ] 14. Create `tests/integration/profiler.py` — timing wrapper that records per-endpoint latency and produces a summary report
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- [ ] 15. Add profiling output to test runner (JSON report with P50/P95/P99 per endpoint, stage timings)
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- [x] 14. Create `tests/integration/profiler.py` — timing wrapper that records per-endpoint latency and produces a summary report
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- [x] 15. Add profiling output to test runner (JSON report with P50/P95/P99 per endpoint, stage timings)
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## Phase 5: Pipeline Runner
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- [ ] 16. Create `infra/inttest/run_pipeline.sh` — orchestration script that creates namespace, deploys infra, seeds, deploys services, runs tests, collects results, tears down
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- [ ] 17. Create `.github/workflows/integration.yml` — GitHub Actions workflow that triggers the pipeline on demand or on PR
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- [x] 16. Create `infra/inttest/run_pipeline.sh` — standalone orchestration script with CLI args (`--image-tag`, `--namespace`, `--skip-teardown`, `--results-file`), exit codes (0=pass, 1=fail, 2=infra error), JSON result output; creates namespace, deploys infra, seeds, deploys services, runs tests, collects results, tears down
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## Phase 6: Documentation
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- [ ] 18. Add integration test section to `docs/LOCAL_DEV_SETUP.md` with instructions for running locally
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- [x] 17. Add integration test section to `docs/LOCAL_DEV_SETUP.md` with instructions for running locally, CLI usage, JSON result contract, and a note that a future CI/CD pipeline spec will consume this runner
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Reference in New Issue
Block a user