Files
gitmost/packages/prosemirror-markdown
agent_coder 35f2c06f42 test(converter): #391 review round — orderedList start guard + nightly hardening (#351)
DO-1 (regression): the orderedList start hardening `Number(x)||1` let a
negative/fractional start through into the marker ("-3.", "2.5.") — marked
can't tokenize it, so the whole list re-imported as a paragraph (structure
corruption); start=0 churned. Both the markdown and raw-HTML export paths
now use `Number.isInteger(raw) && raw > 1 ? raw : 1`, so any degenerate
start collapses to the default "1." markers / bare <ol> (list always valid).
New ordered-list-start-normalization test pins {0,-3,2.5} → valid start=1
list, byte-stable; the round-trip fuzz keeps to integers >=2 (num 2,3,5,42).

DO-2 (nightly was non-functional): NUM_RUNS=5000 OOM'd the worker and the
crash was misreported as a "counterexample" issue whose prefix-dedup then
locked out all future issues. Reworked to shard 8 fresh vitest processes
(600 runs each, distinct seeds, --max-old-space-size) so deep fuzzing
never OOMs; a failing shard's output is preserved, and issue creation
discriminates a real fast-check counterexample from an infra/OOM failure
(distinct titles + scoped dedup). The two issue steps use `always() &&`
so they actually run on the failure path.

DO-3: envInt extracted to test/generative/env-int.ts + unit-tested.
DO-4: nightly dispatch inputs go through env: (no ${{ }} in run:).
DO-5: attr-arbitraries.ts docblock synced (column.width/orderedList.start
are fixed+fuzzed, not pinned it.fails).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 20:32:29 +03:00
..

@docmost/prosemirror-markdown

The single, canonical ProseMirror ↔ Markdown converter plus the Docmost schema mirror (#293/#345). Headless and framework-free: no React, no browser runtime. There is exactly ONE copy of this converter in the repo, consumed by:

  • packages/mcp (the MCP server),
  • packages/git-sync (two-way Git sync),
  • apps/server (server-side markdown import/export, #345).

src/lib/docmost-schema.ts mirrors the upstream Tiptap schema that lives in packages/editor-ext. The mirror is not free-floating: serializer-contract.test.ts guards the boundary — every schema node must have a converter case, so a drift between editor-ext and this package surfaces as a failing test rather than a silent divergence.

Why byte-stability matters

Git sync exports a page to markdown, and re-imports it on the next pull. If export → import → export is not byte-stable, every pull rewrites files that nobody edited, and the user's history churns with phantom diffs. So the converter is held to more than "it roughly round-trips": the second export pass must be a byte-for-byte fixpoint. That is what the property suite below proves.

Two golden layers (do not mix them)

  1. Corpus fixturestest/fixtures/corpus/. A fixed, hand-curated set of representative documents (headings, marks, lists, tables, diagrams, columns, details, mentions, …). These are the readable, deterministic "known-good" snapshots. Edit them deliberately.

  2. Generative property suitetest/generative/. fast-check draws random documents and asserts invariants over them. Two entry points:

    • flat-roundtrip.property.test.ts — flat documents, attribute-level fuzzing.
    • nested-roundtrip.property.test.ts — deeply nested structures.

    The invariants (P1–P4):

    • P1 — semantic round-trip: mdToPm(pmToMd(doc)) is canonically equal to doc (no data loss for the round-trip-supported space).
    • P2 — byte fixpoint: pmToMd(mdToPm(pmToMd(doc))) === pmToMd(doc) (the first pass may normalize once; the second pass must be a fixpoint).
    • P3 — totality: neither converter throws; output is bounded.
    • P4 — parser fuzz totality: for ANY input string, markdownToProseMirror does not throw and returns a schema-valid document.

    These invariants are kept STRICT — no it.fails, skip, or weakening. A failure means the generator found a REAL converter bug.

The counterexample process (the DoD)

This is the point of the generative layer. When a property run diverges:

  1. A property run surfaces a divergence (locally, in CI, or in the nightly cron — see below).
  2. fast-check shrinks it to a minimal, human-readable counterexample and prints the reproducing seed.
  3. Commit the shrunk doc as a permanent fixture under test/fixtures/counterexamples/, with a matching case in counterexamples.test.ts. The fixture stays forever, as a regression pin.
  4. FIX the converter so the counterexample round-trips. Never weaken a property to hide the bug.
  5. If — and only if — a maintainer decides a particular markdown-representable loss is genuinely acceptable, it is recorded as an explicit ACCEPTED / allowlist entry with a written reason, not by silently relaxing an invariant.

Attribute-coverage allowlist

flat-roundtrip.property.test.ts maintains ATTR_VALUE_FUZZ_ALLOWLIST. The suite asserts that every attribute in the live schema is EITHER value-fuzzed by the generator OR explicitly listed in this allowlist. This forces any newly added node attribute to be consciously classified — you cannot add an attr and leave it silently un-exercised; the coverage test fails until you either fuzz it or record why it is held out.

Running

# The full package suite (corpus + generative + contract tests):
pnpm --filter @docmost/prosemirror-markdown test

The generative suite honours two env knobs (invalid/empty → falls back to the default):

Env var Default (flat) Default (nested) Meaning
PROPERTY_SEED 20250705 20250705 fast-check seed (reproducibility)
PROPERTY_NUM_RUNS 300 100 runs per property
# Reproduce a specific counterexample seed with a bigger budget:
PROPERTY_SEED=12345 PROPERTY_NUM_RUNS=5000 \
  pnpm --filter @docmost/prosemirror-markdown exec vitest run test/generative/

Nightly cron

.github/workflows/nightly-property.yml runs the generative suite every night with PROPERTY_NUM_RUNS cranked to ~5000 and a random seed, to reach deeper counterexamples than a fixed-seed PR run can. On failure it files a Gitea issue containing the reproducing seed, the run count, and the tail of the output (the shrunk counterexample), which kicks off the counterexample → fixture process above. It can also be triggered manually (workflow_dispatch) with custom num_runs / seed.