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Update entity assignment logic - #607
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Walkthrough
ChangesLookup membership sets
Priority: ➖ Normal Estimated code review effort: 2 (Simple) | ~10 minutes Change: Refactor Merge Risk: ⚪ Minimal · up to No actionable issue remains identified in the lookup membership changes. The PR is mergeable after normal checks. Pre-merge checks |
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| Check name | Status | Explanation |
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| Title check | |
The title clearly describes the main change to entity assignment logic, including the lookup and CSV membership-check updates. |
| Docstring Coverage | |
Docstring coverage is 88.89% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 9 functions across 2 files. |
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Actionable comments posted: 1
- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @digital_land/pipeline/main.py:
- Around line 836-838: Update add_entry so legacy rows without reference use the
established legacy-compatible default when building the key; compute the
complete key before appending to self.entries or updating self._entry_keys, so
both collections change only after key construction succeeds.
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Description
Summary
Spike for batch assign ticket #2956 section 5 (optimise batch-assign runtime, currently ~35-50min per evening-pipeline run).
Found and fixed an O(n²) performance bug in
digital-land-python'sLookupsclass — not a config repo issue, and much higher-leverage than any parallelisation we could do there.Root cause
Lookups.validate_entry()andLookups.save_csv()both do membership checks against plain Python lists instead of sets:validate_entry()linear-scansself.entriesfor an existing(prefix, organisation, reference)match, once peradd_entry()call.save_csv()'s entity-number generator doesstr(n) not in entity_values, whereentity_valuesis also a list.Both scale with the existing
lookup.csvsize, not just the new resource, so cost isO(new_entities × existing_entries).tree-preservation-orderandlisted-buildinghave 523,324 and 532,879 existing rows respectively — an order of magnitude bigger than every other dataset in the config repo (next largest meaningfully-processed one is ~100k) — which is why these two collections structurally dominate every single evening-pipeline run's runtime, regardless of which resources happen to be in that day's batch.Profiling a single resource (6,983 new entities) confirmed the split:
copy_treeget_resource_unidentified_lookupslookups.load_csvadd_entryloop (6,983 calls)get_max_entitysave_csvpipeline_run(actual transform)Fix
digital_land/pipeline/main.py,Lookupsclass:self._entry_keys, a set mirroring(prefix, organisation, reference)for every entry, maintained insideadd_entry().validate_entry()now checkskey in self._entry_keys(O(1)) instead of scanningself.entries(O(n)).save_csv()'sentity_valueschanged from a list to a set - same membership-only usage, now O(1).No behaviour change: both structures are only ever used for membership testing, never iterated/indexed/sliced elsewhere.
Verification
82 existing tests pass across every file touching
Lookups/assign_entities(tests/unit/test_pipeline.py,tests/integration/test_assign_entities.py,tests/integration/pipeline/test_main.py,tests/acceptance/test_assign_entities.py,tests/acceptance/test_add_endpoints_and_lookups.py).Real production data, end-to-end, same resource (6,983 new entities,
tree-preservation-order) run through the full assign → validate → promote path before and after the fix:lookup.csvchangeentity-organisation.csvchangeThe two runs' resulting file diffs are byte-for-byte identical - confirming the fix changes only performance, not output.
Related Tickets & Documents
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