Shopify Image Audit
A Lighthouse-based image audit tool for Shopify stores. Produces per-image scores, role assignments, optimisation recommendations, and a before/after comparison workflow that proves image-optimisation ROI to paying customers.
Designed for the 99–199 € audit-on-demand business model: run the audit, deliver a customer-ready HTML report, optionally compare live metrics after the customer implements the recommendations.
Quickstart
End-user install (PyPI)
# Recommended: pipx creates an isolated env
pipx install shopify-image-audit
# Alternative: pip into a venv
python -m venv .venv && source .venv/bin/activate
pip install shopify-image-audit
The PDF renderer (audit report --pdf) requires native libraries
(libpango, libcairo, libgdk-pixbuf). On Linux:
sudo apt-get install -y libpango-1.0-0 libpangoft2-1.0-0 libcairo2 libgdk-pixbuf-2.0-0
The lighthouse Node CLI is required for audit run <url>. Install with
npm i -g lighthouse (or pass --lhr <file> to use a pre-existing report).
Developer install (from source)
git clone https://github.com/xopsio/shopify-image-audit.git
cd shopify-image-audit
python -m venv .venv && source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e ".[dev]"
# Verify the install
audit version
pytest -q # 642 tests
CLI commands
The tool ships with a single Typer app. Run audit --help for the full list;
below are the high-value entry points.
audit run <url> — full Lighthouse + audit pipeline
audit run https://kauppa.myshopify.com --device mobile --runs 3 \
--out-dir artifacts
# -> artifacts/lhr_run1.json, audit_result.json (schema-compliant)
audit baseline <lhr.json> --save baseline.json — capture baseline
audit baseline fixtures/before_after/before_lcp.json \
--save baseline.json \
--url https://demo.myshopify.com
# -> Baseline saved to baseline.json
audit compare <baseline> <current> — before/after (file or URL)
# File vs file (offline)
audit compare baseline.json fixtures/before_after/after_lcp.json \
-o comparison.html --json comparison.json
# File vs live URL (fetches via PageSpeed Insights API)
audit compare baseline.json https://demo.myshopify.com \
--strategy mobile --api-key YOUR_KEY \
-o comparison.html
# HTML report includes a per-image delta table (bytes, score, status per image).
# PDF export via --pdf flag.
Exit codes: 0 success, 2 invalid args, 10 backend failure.
audit report <audit_result.json> — HTML or PDF report
audit report baseline.json -o report.html # HTML
audit report baseline.json -o report.pdf --pdf # PDF (WeasyPrint)
audit measure <url> — live PageSpeed metrics only
audit measure https://demo.myshopify.com --strategy mobile
# -> JSON metrics to stdout (or --output metrics.json)
audit shopify <auth|inventory> <store> — Shopify Admin API
# Verify a token
audit shopify auth mystore.myshopify.com --access-token shpat_xxx
# -> Token valid, prints shop info
# List all image URLs (products + theme assets)
audit shopify inventory mystore.myshopify.com --access-token shpat_xxx -o inventory.json
Read-only scopes required (read_products, read_themes, read_shop).
See docs/integrations/SHOPIFY_ADMIN.md for token-acquisition steps.
audit score <audit_input.json> --ranker {heuristic|ml}
audit score extracted.json # default: heuristic
audit score extracted.json --ranker ml # weighted feature ensemble
Full reference: docs/spec/cli_v0_1.md.
Scoring algorithms
The pipeline assigns each image a role, a score (0–100), and a
recommendation. Two rankers ship, switchable via --ranker ml:
| Ranker | Formula | Use case |
|---|---|---|
heuristic (default) |
bytes per displayed pixel (bpp) + LCP penalty | fast, predictable baseline |
ml |
weighted ensemble: f_size, f_density, f_format, f_dim_match + LCP strictness | richer signal, more honest scoring |
Both produce the same output contract (role + score + recommendation). The ML
ranker is a hand-coded feature ensemble, not a statistical model — see
src/audit/ranker_ml.py for the design rationale
(no model deps, deterministic, fully explainable via ml_features()).
Architecture
src/
├── audit/ # scoring + reporting
│ ├── models.py # Pydantic v2 schemas (AuditResult, ComparisonResult, ImageDelta)
│ ├── parser.py # Lighthouse / fixture JSON parser
│ ├── ranker_heuristic.py # default ranker (bpp-based)
│ ├── ranker_ml.py # opt-in ML-style ranker (weighted ensemble)
│ └── report.py # HTML/PDF report renderer (split into _render_* funcs)
├── core/ # core algorithms
│ ├── image_extractor.py # LHR image audit extraction
│ ├── image_signals.py # shared displayed_area, assign_role, _safe_int
│ └── baseline_manager.py # save/load baselines + compare() + per-image matching
├── engine/ # orchestration + CLI
│ ├── cli.py # Typer app (run, measure, baseline, compare, shopify, ...)
│ ├── cli_helpers/ # extracted CLI helpers (validators, dispatchers, table, errors)
│ └── audit_orchestrator.py # run_audit() pipeline
└── integrations/ # external APIs
├── pagespeed_api.py # PageSpeed Insights (measure + fetch_lighthouse_json)
└── shopify_admin.py # Shopify Admin API (auth, products, theme_assets)
schemas/audit_result.schema.json # JSON Schema contract (validated by tests)
tests/ # 642 tests, single-writer (ZCode)
docs/examples/ # live demo report + comparison JSON
docs/integrations/ # Shopify Admin API token guide
The codebase is governed by a single ZCode agent (see
docs/governance.md v1.3).
Testing
pytest -q # 665 tests, single-writer discipline
pytest --cov=src --cov-report=term # ~91% coverage
ruff check src/ tests/ # 0 violations
The CI workflow runs pytest -q + ruff check on Python 3.11 and 3.12 for
every PR. Branch protection on main requires both checks to pass before
merge. See .github/workflows/ci.yml.
Customer deliverables (Phase 1)
- Customer report template —
docs/CUSTOMER_REPORT_TEMPLATE.md - Onboarding workflow —
docs/CUSTOMER_ONBOARDING.md - Example audit report (Nordic Lifestyle demo store, LCP 4200ms → 1800ms) —
docs/examples/demo_audit_report.html - Example comparison data —
docs/examples/demo_comparison.json
Roadmap
- ✅ Sprint 1 — v0.1.0 baseline (parser, ranker, orchestrator, CLI, HTML report, 103 tests)
- ✅ Sprint 2 — before/after workflow, customer docs, ML ranker, live URL compare, CI, governance cleanup (276 tests)
- ✅ Sprint 3 — PDF export, per-image deltas, Shopify Admin API, v0.2.0 release prep (390 tests)
- ✅ Sprint 4 — Branded reports, ROI-ranked recs, audit history, v0.3.0 (489 tests)
- Branded report templates (--brand-logo, --brand-color)
- ROI-ranked recommendations (ComparisonRecommendation model)
- Audit history + trend view (HistoryStore,
audit history list/show)
- ✅ Sprint 5 — Snapshot tests, CLI coverage, error decorator wiring, history diff, v0.4.0 (546 tests)
- Snapshot testing infrastructure (syrupy) for HTML renderers
- CLI coverage for all 10 commands
- Error decorator wiring + consistency pass (RuntimeError → exit 10)
audit history diffwith stable entry-idsCHANGELOG.mdand--cov-fail-under=85CI gate
- ✅ Sprint 6 — Coverage close-out, test isolation, multi-store batch, observability, v0.5.0 (606 tests)
tests/test_table_snapshots.py(Rich Console captures)- Zero CWD-relative writes in tests
audit shopify batch --stores-filefor multi-store inventoryengine._loggingwith 6 structured log hooksCONTRIBUTING.md,--cov-fail-under=90
- ✅ Sprint 7 — Scheduled re-audit, dependency hygiene, PageSpeed cache, v0.6.0 (642 tests)
audit schedule list/add/remove/run-all+ crontab runbook- Dependabot + SLSA build-provenance attestation
- PageSpeed response cache (
PAGESPEED_CACHE_TTL) - Report footer version drift fixed
- ✅ Sprint 8 — UX polish, test architecture, shared run_parallel, v0.7.0 (665 tests)
- "Did you mean: X?" suggestions on every typo site
tests/conftest.py+tests/__init__.py(single source of truth forREPO_ROOT+ fixtures)- Shared
run_parallelhelper (batch + scheduler share it) audit schedule run-all --parallel(deferred from Sprint 7)[pdf]extra — WeasyPrint no longer required by defaultdocs/tutorial.mdwalkthrough
Further reading
docs/spec/cli_v0_1.md— full CLI specificationdocs/governance.md— ownership + workflowdocs/runbook/measurement_protocol.md— how LCP/CLS/INP are measured deterministicallydocs/SPRINT_1_COMPLETE.md— what shipped in Sprint 1docs/SPRINT_3_PLAN.md— Sprint 3 breakdown (all done)docs/SPRINT_4_PLAN.md— Sprint 4 breakdown (all done)docs/SPRINT_5_PLAN.md— Sprint 5 breakdown (all done)QA_CHECKLIST.md— quality gates
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