aaa9a253ae
2 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
| aaa9a253ae |
Add import/export fidelity gate to CI (#69)
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Make the "structure-true best effort" fidelity contract (ADR 0009) an objective, pipeline-gated suite so "best effort" cannot erode silently. - New CI job "Import/export fidelity gate" (.gitea/workflows/ci.yml) runs the corpus suites against the pinned sidecar images the stages use (pandoc/core:3.6, gotenberg/gotenberg:8), started via docker run and reached over the host gateway. Small and separate so it stays well under five minutes; the suites self-skip in the main checks job (no sidecars). - Export fidelity: fixtures/export corpus + gen-export-fixtures.mjs + export.fidelity.test.ts — exports Markdown to docx/odt through the real pinned pandoc and reads it back, snapshotting the round trip so a writer drift (ours or a version bump) fails the gate. - PDF smoke: pdf.fidelity.test.ts renders a page through real Gotenberg and asserts the extracted text and a sane page count (pdf-parse, dev-only). - Fidelity contract doc: fixtures/README.md defines "corpus green = fidelity acceptable" and the fixture-first bug process; per-corpus READMEs updated. Because the snapshots are byte-exact and generated with the pinned tools, bumping a sidecar without regenerating shifts the output and fails the suite (AC3). The import corpus (#63) is folded into the same gate. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EwZ4jR4KFAPvpjWevfUGX1 |
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| 546e8279ac |
Import .docx and .odt documents as new pages (#63)
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Uploading a Word/OpenOffice document to POST /ponds/:id/import enqueues a conversion job (the #62 queue) that produces a new page in the pond; the client polls GET /jobs/:id for the created resultPageId. Pipeline (ImportService, ADR 0009): pandoc-server is stateless and hands back a document's media no other way, so we convert in two passes — docx/odt → html with embed-resources inlines every image as a data: URI, then html → gfm produces clean structural Markdown with those data URIs still inline. Embedded images are stored as pond files (with quota accounting) and their references rewritten to file ids on the Markdown text before parsing (the editor parser only admits png/jpeg/gif/webp data URIs); an image whose bytes the upload pipeline rejects is dropped, not fatal. The title comes from a leading top-level heading (removed from the body) else the file name. The page is created from the resulting Yjs state. The shared conversion worker routes import-kind jobs to the pipeline via a token (breaking a module cycle), so import inherits the queue's locking, retry, and restart-survival. Media stored during a failed attempt is rolled back; a pond that runs out of storage fails the job with quota_exceeded. - schema: ConversionJob gains pond_id / source_name / result_page_id (migration 20260710041215_import_pages_conversion); ConversionJobView gains resultPageId. - PagesService.createWithState / yjs-content docToState build a page from a prepared document; FilesService.linkAttachmentsToPage links import media. - fixtures/import/: representative .docx/.odt corpus (headings, lists, nested lists, tables, images, links, bold/italic) with expected-Markdown snapshots; scripts/gen-import-fixtures.mjs regenerates them. - tests: import.service.db.test.ts drives the full pipeline with a fake converter (CI); import.fixtures.test.ts runs the real two-pass conversion over the corpus and a 50-page timing check against a reachable sidecar. - i18n: import_unsupported_format (de+en). Limits documented (25 MiB input, 60 s per pass). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EwZ4jR4KFAPvpjWevfUGX1 |
