feat: ingest CSV and TSV as bounded documents#2125
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Summary
Closes #2119
Why
Research corpora commonly include experiment exports, survey tables, benchmark results, inventories, and market datasets in CSV/TSV form. Graphify previously left those files unclassified, so they never reached semantic extraction.
This implementation converts them into the same Markdown document path used by the existing extraction pipeline while preserving table context and keeping formulas inert.
Safety and behavior
The converter:
csvparser with strict malformed-quote handling;csv.readermaterializes it;Tests
pytest tests/test_delimited.py tests/test_detect.py tests/test_office_incremental.py tests/test_office_limits.py tests/test_watch.py -qpytest -q --ignore=tests/test_falkordb_integration.pypytest -qlocalhost:6379and returnedunknown command GRAPH.QUERYpyright graphify/delimited.pygit diff --checkpython -m buildgraphify/delimited.pyis packagedAn end-to-end temporary-corpus probe also verified detection, Markdown sidecar creation, untrusted-source prompt wrapping, formula preservation, quoted multiline values, unchanged-sidecar reuse, and content refresh with a preserved source mtime.