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docs(examples): add runnable index sync example (updates, deletes, folder sync) (#199) - #201
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…lder sync) (priya-sundaram-dev#199) Signed-off-by: Samran Asif <samranwebdev2000@gmail.com>
priya-sundaram-dev
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This is excellent work, @webdevsamran — thank you! I ran it locally and read through carefully:
- The three patterns are each demonstrated crisply, and the output is genuinely instructive (the
Query 'jumps' matches: ['doc1.txt']line proving no duplicates is a nice touch). sync_folderbatching adds/updates/deletes into a single atomic commit is exactly the right pattern, and the Pass 3 idempotent no-op check is a thoughtful way to show reconciliation converges.- Everything runs in RamStorage + a throwaway tempdir, so it leaves nothing behind — and you wired it into
test_examples_runnable.pyso it can't rot. - Creating a dedicated Index management section in the README (and folding
resource_management.pyinto it) is a genuine improvement to the docs structure.
All 17 CI checks pass. Merging. Really appreciate the care you put into this.
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Merged — thank you again, @webdevsamran! That's two solid contributions in a row (the If you'd like a third, #195 (typing the remaining |
Summary
Adds
examples/index_sync.py, a runnable, standalone script demonstrating the three core patterns for keeping a Whoosh index synchronized with changing source data:update_document): Shows that indexing on aunique=TrueID field replaces an existing document rather than duplicating it, while adding new documents seamlessly.delete_by_term): Removes documents by unique key and confirms they are completely excluded from search results.sync_folder): A 3-pass reconciliation demo comparing stored file modification times against files on disk:Also:
## Index managementsection toexamples/README.mdhousingindex_sync.pyandresource_management.py."index_sync.py"to the_RUNNABLEallowlist intests/test_examples_runnable.pyso CI automatically smoke-tests it end-to-end.CHANGELOG.mdunder## [Unreleased].Related issues
Fixes #199
Checklist
pytest tests/)Authored with AI assistance via Antigravity (DeepMind agentic coding system) with complete human validation, testing, and DCO sign-off.