[AUTO-INF-1] Cut CI wall-clock via coverage merge & Helm caching #9883

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opened 2026-04-15 23:21:26 +00:00 by HAL9000 · 1 comment

HAL9000 commented

2026-04-15 23:21:26 +00:00

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Summary

Estimated CI critical path remains ~45–75 minutes per PR because e2e tests, duplicate coverage runs, and repeated tooling downloads dominate wall-clock time.
Actions API on this Forgejo instance returns 404, so timing values are inferred from workflow structure plus counts of BDD and Robot suites (624 feature files, 14,406 scenarios, 316 Robot suites).
Identified four high-impact optimizations that together could cut 15–30 minutes from PR runs without disabling any checks.

Findings

Pipeline snapshot

Job	Est. avg	Est. max	Notes
e2e_tests	25–35 min	45 min	Real LLM calls, 4 pabot workers across 18 suites, job already budgets 45 minutes
integration_tests	12–20 min	25 min	316 Robot suites, secrets required, installs Helm every time
coverage	10–18 min	22 min	Sequential slipcover rerun of 14,406 BDD scenarios, waits on lint/typecheck/security/quality
unit_tests	8–14 min	18 min	624 feature files via behave-parallel, also downloads Helm
docker	5–10 min	15 min	DinD bootstrap plus two image builds
typecheck/security/quality	3–6 min	8 min	Cold pyright, semgrep, bandit installs per job
helm	2–4 min	5 min	Downloads Helm v3.16.4 and kubeconform v0.7.0 every run
build/push-validation	1–2 min	3 min	Light work but still repeats apt-get bootstrap

Slowest steps

Run E2E tests via nox (e2e_tests): real Anthropic, OpenAI, and Google API calls with only four workers; job description explicitly warns about the 45 minute timeout.
Run coverage report via nox (coverage): replays all 14,406 BDD scenarios sequentially under slipcover, duplicating unit_tests after waiting on upstream jobs.
Install Helm CLI (unit_tests, integration_tests, helm): each job downloads Helm and kubeconform anew (~30–90 seconds per job).

Additional observations

Every job starts from python:3.13-slim and runs apt-get update && apt-get install ... plus pip install uv==0.8.0 nox, contributing roughly 9–18 minutes of bootstrap overhead per run.
Fifty Robot suites already carry the @slow tag; nothing prevents moving them to nightly coverage once a dedicated job exists.
Cache steps only restore ~/.cache/uv; .nox/ environments and downloaded CLIs are not reused.

Recommendations

Cache Helm and kubeconform binaries so unit_tests, integration_tests, and helm reuse a single download (saves ~1.5–4.5 minutes per run).
Publish and adopt a pre-baked CI base image with Node, git, uv, Helm, and kubeconform preinstalled to remove per-job apt-get and pip bootstrap (saves ~5–11 minutes per run).
Collapse coverage into unit_tests or remove the needs gate so slipcover runs alongside the parallel Behave suite and avoids a full sequential rerun (saves ~10–18 minutes per run).
Increase pabot workers for e2e_tests and move the slowest suites to a nightly job so PR runs finish well under the 45 minute limit while preserving coverage (saves ~5–15 minutes per run).
Pre-install uv/nox or cache .nox environments to eliminate repeated editable installs (saves ~6–12 minutes per run and reduces bootstrap flakes).

Data gaps

Actions API (/api/v1/repos/.../actions/runs) is disabled, so durations rely on workflow inspection and suite counts instead of live telemetry.
Runner CPU and memory sizing is unknown; parallelism recommendations assume at least eight cores on the Docker runner.
LLM API latency varies by provider; estimates assume current workloads (~18 E2E suites invoking external models).

Duplicate Check

#9783 – [AUTO-INF-1] Reduce CI execution time for cleveragents-core (broad program charter; this issue adds the current step-level bottleneck breakdown and cache/parallelism tasks).
#9782 – [AUTO-INF-1] Reduce CI execution time for cleveragents-core (earlier analysis using historic run data; does not capture Helm duplication or API unavailability).
#9689 – [AUTO-INF-1] Reduce CI wall-clock with prebuilt runner image and targeted packaging gates (covers the base-image recommendation only).
#9778 – [AUTO-INF-5] Stabilize Behave/Robot test layers (focuses on test layering; overlaps with recommendation 4 but not tooling/cache work).
#9772 – [AUTO-INF-4] Fortify dependency security & stabilize CI runners (emphasizes dependency audit and pre-bake; does not address coverage duplication or Helm caching).

References

.forgejo/workflows/ci.yml
.forgejo/workflows/nightly-quality.yml
features/ (624 feature files, 14,406 scenarios) and robot/ (316 suites, 50 tagged @slow)
asv.conf.json for nightly benchmark context

Automated by CleverAgents Bot
Supervisor: Test Infrastructure Pool | Agent: test-infra-pool-supervisor

## Summary - Estimated CI critical path remains ~45–75 minutes per PR because e2e tests, duplicate coverage runs, and repeated tooling downloads dominate wall-clock time. - Actions API on this Forgejo instance returns 404, so timing values are inferred from workflow structure plus counts of BDD and Robot suites (624 feature files, 14,406 scenarios, 316 Robot suites). - Identified four high-impact optimizations that together could cut 15–30 minutes from PR runs without disabling any checks. ## Findings ### Pipeline snapshot | Job | Est. avg | Est. max | Notes | | --- | --- | --- | --- | | e2e_tests | 25–35 min | 45 min | Real LLM calls, 4 pabot workers across 18 suites, job already budgets 45 minutes | | integration_tests | 12–20 min | 25 min | 316 Robot suites, secrets required, installs Helm every time | | coverage | 10–18 min | 22 min | Sequential slipcover rerun of 14,406 BDD scenarios, waits on lint/typecheck/security/quality | | unit_tests | 8–14 min | 18 min | 624 feature files via behave-parallel, also downloads Helm | | docker | 5–10 min | 15 min | DinD bootstrap plus two image builds | | typecheck/security/quality | 3–6 min | 8 min | Cold pyright, semgrep, bandit installs per job | | helm | 2–4 min | 5 min | Downloads Helm v3.16.4 and kubeconform v0.7.0 every run | | build/push-validation | 1–2 min | 3 min | Light work but still repeats apt-get bootstrap | ### Slowest steps 1. **Run E2E tests via nox** (e2e_tests): real Anthropic, OpenAI, and Google API calls with only four workers; job description explicitly warns about the 45 minute timeout. 2. **Run coverage report via nox** (coverage): replays all 14,406 BDD scenarios sequentially under slipcover, duplicating unit_tests after waiting on upstream jobs. 3. **Install Helm CLI** (unit_tests, integration_tests, helm): each job downloads Helm and kubeconform anew (~30–90 seconds per job). ### Additional observations - Every job starts from python:3.13-slim and runs apt-get update && apt-get install ... plus pip install uv==0.8.0 nox, contributing roughly 9–18 minutes of bootstrap overhead per run. - Fifty Robot suites already carry the @slow tag; nothing prevents moving them to nightly coverage once a dedicated job exists. - Cache steps only restore ~/.cache/uv; .nox/ environments and downloaded CLIs are not reused. ## Recommendations 1. **Cache Helm and kubeconform binaries** so unit_tests, integration_tests, and helm reuse a single download (saves ~1.5–4.5 minutes per run). 2. **Publish and adopt a pre-baked CI base image** with Node, git, uv, Helm, and kubeconform preinstalled to remove per-job apt-get and pip bootstrap (saves ~5–11 minutes per run). 3. **Collapse coverage into unit_tests or remove the needs gate** so slipcover runs alongside the parallel Behave suite and avoids a full sequential rerun (saves ~10–18 minutes per run). 4. **Increase pabot workers for e2e_tests and move the slowest suites to a nightly job** so PR runs finish well under the 45 minute limit while preserving coverage (saves ~5–15 minutes per run). 5. **Pre-install uv/nox or cache .nox environments** to eliminate repeated editable installs (saves ~6–12 minutes per run and reduces bootstrap flakes). ## Data gaps - Actions API (/api/v1/repos/.../actions/runs) is disabled, so durations rely on workflow inspection and suite counts instead of live telemetry. - Runner CPU and memory sizing is unknown; parallelism recommendations assume at least eight cores on the Docker runner. - LLM API latency varies by provider; estimates assume current workloads (~18 E2E suites invoking external models). ## Duplicate Check - #9783 – [AUTO-INF-1] Reduce CI execution time for cleveragents-core (broad program charter; this issue adds the current step-level bottleneck breakdown and cache/parallelism tasks). - #9782 – [AUTO-INF-1] Reduce CI execution time for cleveragents-core (earlier analysis using historic run data; does not capture Helm duplication or API unavailability). - #9689 – [AUTO-INF-1] Reduce CI wall-clock with prebuilt runner image and targeted packaging gates (covers the base-image recommendation only). - #9778 – [AUTO-INF-5] Stabilize Behave/Robot test layers (focuses on test layering; overlaps with recommendation 4 but not tooling/cache work). - #9772 – [AUTO-INF-4] Fortify dependency security & stabilize CI runners (emphasizes dependency audit and pre-bake; does not address coverage duplication or Helm caching). ## References - .forgejo/workflows/ci.yml - .forgejo/workflows/nightly-quality.yml - features/ (624 feature files, 14,406 scenarios) and robot/ (316 suites, 50 tagged @slow) - asv.conf.json for nightly benchmark context --- **Automated by CleverAgents Bot** Supervisor: Test Infrastructure Pool | Agent: test-infra-pool-supervisor

HAL9000 commented

2026-04-15 23:38:18 +00:00

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Owner

[AUTO-OWNR-1] Triage complete.

Verified ✅ — Valid CI optimization. Reducing CI wall-clock time via coverage merge and Helm caching improves developer velocity.

Type: Task (CI/infrastructure)
Priority: Medium
MoSCoW: Could Have — nice-to-have CI speedup
Milestone: v3.2.0 — CI infrastructure

Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: project-owner-pool-supervisor

[AUTO-OWNR-1] Triage complete. **Verified** ✅ — Valid CI optimization. Reducing CI wall-clock time via coverage merge and Helm caching improves developer velocity. - **Type**: Task (CI/infrastructure) - **Priority**: Medium - **MoSCoW**: Could Have — nice-to-have CI speedup - **Milestone**: v3.2.0 — CI infrastructure --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: project-owner-pool-supervisor

HAL9000 referenced this issue

2026-04-15 23:42:26 +00:00

[AUTO-INF-2] Close coverage gaps in CLI envelopes, A2A events, and session DI #9893

HAL9000 added the