pytest-snapcheck 0.1.4

Minimal deterministic test-run snapshot capture for pytest.

pytest-snap

Minimal deterministic snapshot capture of a pytest run: per-test outcome + duration (ns) stored in a JSON file. Intended as a small foundation for optional future diff / perf / gating features.

Current 0.1.0 scope:

• Pytest plugin auto‑loaded (entry point snap).
• --snap flag enables capture.
• --snap-out PATH chooses output file (default .snap/current.json).
• CLI wrapper for repeated labeled runs (pytest-snap run, pytest-snap all).

Out of scope (planned, not implemented yet in the plugin runtime): budgets, flake scoring, inline performance gating, historical diffing inside the test session. The README will grow with those features post‑0.1.0.

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Installation

pip install pytest-snapcheck

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Quick Start

Install:

pip install pytest-snapcheck

Run tests with snapshot capture:

pytest --snap

Result written to .snap/current.json (create the directory if needed). Change destination:

pytest --snap --snap-out my_run.json

Use the helper CLI for labeled runs (writes .artifacts/snap_<label>.json):

pytest-snap run v1
pytest-snap run v2
# or
pytest-snapcheck run v1

Generate several labels in sequence:

pytest-snap all               # default labels v1 v2 v3

Using a custom tests folder

By default, the CLI runs your repo's ./tests directory if it exists. To target a different folder, file, or a single test (node id), pass --tests:

# A specific directory
pytest-snap run v1 --tests ./path/to/tests

# A subfolder of your test tree
pytest-snap run v1 --tests tests/integration

# A single file or a single test node
pytest-snap run v1 --tests tests/test_api.py
pytest-snap run v1 --tests tests/test_api.py::test_happy_path

# Add regular pytest filters (forwarded as-is)
pytest-snap run v1 --tests tests/integration -k "smoke" -m "not flaky"

Prefer using plain pytest? The plugin doesn't change discovery; just supply paths as usual and add the flags:

pytest --snap --snap-out .artifacts/snap.json ./path/to/tests
# If plugin autoload is disabled:
pytest -p pytest_snap.plugin --snap --snap-out .artifacts/snap.json ./path/to/tests

Artifacts and outputs

Where results are written by default and how to change it:

• Pure pytest (plugin)

  • Default file: .snap/current.json
  • Override with --snap-out PATH.
  • Example:

     pytest --snap --snap-out .artifacts/snap_v1.json tests/
    

• CLI (pytest-snap)

  • Default directory: .artifacts
  • Files created per run:
    • .artifacts/snap_<label>.json (always)
    • .artifacts/run_<label>.html (only with --html and pytest-html installed)
  • Change directory with --artifacts DIR.
  • Examples:

     # Default outputs
     pytest-snap run v1
    
     # Custom output directory
     pytest-snap run v1 --artifacts out/snapshots
    
     # Diff reads from the same directory
     pytest-snap diff v1 v2 --artifacts out/snapshots
    

• Housekeeping helpers

   pytest-snap list                # list available snapshots
   pytest-snap show v1            # show summary for a snapshot
   pytest-snap clean              # remove the artifacts directory
   # (all accept --artifacts DIR)
  

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Snapshot Schema (v0.1.0)

{
	"started_ns": 1234567890,
	"finished_ns": 1234569999,
	"env": {"pytest_version": "8.x"},
	"results": [
		{"nodeid": "tests/test_example.py::test_ok", "outcome": "passed", "dur_ns": 10423}
	]
}

Future Roadmap (High Level)

Planned incremental additions (subject to change):

1. Baseline diff & change bucket summarization.
2. Slower test detection & perf thresholds.
3. Budget YAML support and gating.
4. Historical flake scoring.
5. Rich diff / timeline CLI views.

Early adopters should pin minor versions if depending on emerging fields.

Code-level Diff (--code)

In addition to outcome & timing changes you can compare the test function source between two labeled versions.

Typical layout:

project/
	v1/tests/...
	v2/tests/...

Run a snapshot diff including code changes:

pytest-snap diff v1 v2 --code

What happens:

• Auto-detects version directories <A> and <B> under the current working directory (or under --versions-base if provided).
• Lists added / removed / modified test functions (def test_*).
• Shows a unified diff (syntax-colored) for modified tests with simple performance hints (range() growth, added sleep time).

Options:

• --code Combine snapshot diff + code diff.
• --code-only Suppress snapshot outcome section; only show code diff.
• --versions-base DIR Look for version subdirectories under DIR instead of ..

Examples:

# Just code changes (no outcome buckets)
pytest-snap diff v1 v2 --code-only --code

# Custom versions base path
pytest-snap diff release_old release_new --code --versions-base ./releases

# Code + performance analysis together
pytest-snap diff v1 v2 --code --perf

Limitations:

• Only inspects top-level test_*.py files; helper modules not diffed.
• Function-level granularity (class-based tests appear as functions with node ids).
• Large diffs are truncated after 20 modified tests (increase by editing source if needed).

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Performance Diff (--perf) in the CLI

The CLI snapshot diff (pytest-snap diff A B) ignores timing changes unless you opt in:

pytest-snap diff v1 v2 --perf

This adds a "Slower Tests" section listing tests whose elapsed time increased beyond BOTH thresholds:

• ratio: new_duration / old_duration >= --perf-ratio (default 1.30 ⇒ at least 30% slower)
• absolute: new_duration - old_duration >= --perf-abs (default 0.05s)

Optional flags:

Flag	Meaning
--perf-ratio 1.5	Require 50%+ slow-down (instead of 30%)
--perf-abs 0.02	Require at least 20ms added latency
--perf-show-faster	Also list significantly faster tests

To see only timings + code changes (skip outcome buckets):

pytest-snap diff v1 v2 --perf --code --code-only

Performance Gating During Test Runs

Inside pytest runs (plugin), slower tests are tracked when you supply a baseline and choose a fail mode:

pytest --snap-baseline .artifacts/snap_base.json \
	--snap-fail-on slower \
	--snap-slower-threshold-ratio 1.25 \
	--snap-slower-threshold-abs 0.10

Behavior:

• A test is considered slower if it exceeds both the ratio and absolute thresholds.
• --snap-fail-on slower turns any slower test into a non‑zero exit (CI gating).
• Adjust thresholds to tune sensitivity (raise ratio or abs to reduce noise).

Shortcut mental model: ratio filters relative regressions; absolute filters micro‑noise. Both must pass so a 2ms blip on a 1µs test won't alert even if ratio is large.

If you only care about functional changes, omit perf flags; if you want early perf regression visibility, add them.

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Timeline / Historical Progression (timeline subcommand)

Use the timeline view to see how snapshots evolved over time and when failures first appeared.

Create snapshots (labels arbitrary):

pytest-snap run v1
pytest-snap run v2
pytest-snap run v3

Show chronological summary:

pytest-snap timeline

Sample output:

TIMELINE (3 snapshots)
2025-09-04T19:20:21Z v1 commit=8e05100 total=28 fail=0 new_fail=0 fixes=0 regressions=0
2025-09-04T19:25:07Z v2 commit=8e05100 total=28 fail=1 new_fail=1 fixes=0 regressions=1
2025-09-04T19:30:44Z v3 commit=8e05100 total=28 fail=1 new_fail=0 fixes=1 regressions=0

Flags:

Flag	Purpose
--since <commit>	Start listing from first snapshot whose git_commit matches (short hash)
--limit N	Show only the last N snapshots after filtering
--json	Emit machine-readable JSON array
--artifacts DIR	Use alternate artifacts directory

Computed per row (vs previous snapshot):

• new_fail: tests that newly failed.
• fixes: previously failing tests that now pass.
• regressions: passed → failed transitions.

Metadata:

• Each snapshot is enriched (best effort) with git_commit (short HEAD hash) after write.
• If git metadata isn’t available (outside a repo), the commit shows as unknown or None.

JSON example:

pytest-snap timeline --json | jq .

Produces entries like:

[
	{"label":"v1","git_commit":"8e05100","total":28,"failed":0,"passed":28,"xfailed":0,"xpassed":0,"new_fail":0,"fixes":0,"regressions":0},
	{"label":"v2","git_commit":"8e05100","total":28,"failed":1,"passed":27,"xfailed":0,"xpassed":0,"new_fail":1,"fixes":0,"regressions":1}
]

Use cases:

• Quickly pinpoint when a regression first appeared before diving into full diff.
• Send the timeline JSON straight to a small dashboard (Prometheus push, simple web chart) without re-reading all snapshot files.
• In Continuous Integration (CI) pipelines, fail the run (block the merge) if the timeline shows new failures or regressions. CI = automated test/build system that runs on every change.

Labels vs paths (what does v1 mean?)

• pytest-snap run <label>

  • The label only names the output file: .artifacts/snap_<label>.json.
  • It does not select a folder named <label>; discovery defaults to ./tests unless you pass --tests.
  • Examples:

     pytest-snap run v1                      # runs ./tests, writes .artifacts/snap_v1.json
     pytest-snap run mylabel --tests tests/api
     pytest-snap run pr-123  --tests tests/test_api.py::test_happy_path
    

• pytest-snap diff <A> <B>

  • Labels refer to snapshot files in the artifacts directory (default .artifacts).
  • When you add --code (or --code-only), directories named <A> and <B> are looked up under --versions-base (default .).
  • You can control the base with --versions-base PATH.

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Flaky Detection

When history logging is enabled (default in pytest-snap run), previous outcomes are tracked. A weighted score measures pass ↔ fail flips. Highly flaky tests can be excluded from "new failures" to reduce noise.

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Conceptual Model

1. Enable capture (flag / CLI) → write snapshot.
2. (Future) Compare snapshots → categorize changes.
3. (Future) Apply gating policies.
4. Refresh baseline as intent changes.

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FAQ

Do I need the CLI? No; it's convenience sugar for labeled runs.

Why not a baseline diff yet? Keeping 0.1.0 deliberately small; diffing lands next.

Will the schema change? Potentially (still pre-1.0.0) but additions will prefer backward compatibility.

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Glossary

Term	Definition
Snapshot	JSON record of one full test run
Nodeid	Pytest's canonical test identifier
Duration	Test call-phase elapsed time (ns stored)

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Contributing

1. Fork / clone.
2. (Optional) Create venv & install: pip install -e .[dev].
3. Add or adjust tests for your changes.
4. Keep documentation clear and concise.
5. Open a PR.

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License

MIT (see LICENSE).

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Happy hacking.

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