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Notebook reading Markdown, cell symbols, and source-located structural queries.","maintainers":[{"name":"possumtechcom","email":"possumtech@pm.me"}],"readme":"# @plurnk/plurnk-mimetypes-application-ipynb\n\n`application/x-ipynb+json` (Jupyter notebook) mimetype handler for the [plurnk](https://github.com/plurnk) ecosystem. Uses `jsonc-parser` for source coordinates.\n\n## install\n\n```sh\nnpm i @plurnk/plurnk-mimetypes-application-ipynb\n```\n\n## what it does\n\nA `.ipynb` *is* JSON, but the JSON is the noise — a model reading a notebook wants the narrative and code as a reader sees them, not `{\"cell_type\":\"code\",\"source\":[...]}`. So the load-bearing channel here is the **content channel** (SPEC §18):\n\n- `content(content)` — the notebook projected to clean **reading markdown**: markdown cells verbatim, code cells fenced in the kernel language, text/stream/`text/plain`/error-traceback outputs folded in, images and other binary payloads dropped.\n- `extractRaw(content)` — symbols that index into that same projection: markdown headings become `heading` symbols (outline-nesting by level, like text-markdown), each code cell becomes a `module` symbol spanning its fenced block (named `In[n]` by execution count). An outline of a notebook reads as its sections with their code cells nested underneath.\n- `deepJson(content)` — the parsed notebook verbatim, so jsonpath/xpath reach `$.cells[*].cell_type`, `$.metadata.kernelspec.language`, etc.\n- `query(content, dialect, pattern)` — JSONPath and XPath carry source regions from the notebook JSON, not the separate readable Markdown projection ({§mimetype-content-query}).\n- `validate(content)` — strict JSON source gate, invoked before orchestrated projections and structural queries.\n\nReferences are deferred: a notebook's imports/calls are kernel-language code, and classifying them would mean embedding a per-kernel parser — out of scope for v1.\n\n## license\n\nMIT.\n\nAll positive notebook fixtures are checked against Jupyter's [nbformat v4.5 schema, pinned to nbformat v5.10.4](https://github.com/jupyter/nbformat/blob/v5.10.4/nbformat/v4/nbformat.v4.5.schema.json).\nThe schema and its BSD-3-Clause license live under `test/`; neither ships in the\nruntime package. A negative cell-ID case verifies the checker. This is fixture\nvalidation, not a new strict-schema requirement on the runtime's tolerant reader.\n","readmeFilename":"README.md"}