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feat(search): spatial coverage facet + exclude world from lower-level filters #1039

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Merged
rdahis merged 2 commits into from
Jul 9, 2026
Merged

feat(search): spatial coverage facet + exclude world from lower-level filters #1039

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16704b4
feat(search): add spatial_coverages facet to /search/ aggregations
rdahis Jul 9, 2026
bf02710
feat(search): exclude world from lower-level spatial coverage filters
rdahis Jul 9, 2026
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10 changes: 7 additions & 3 deletions backend/apps/api/v1/search_views.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,10 +71,12 @@ def search(self):
coverage_patterns = ["_".join(parts[:i]) for i in range(1, len(parts))]
coverage_patterns.append(coverage) # Add the full coverage too

# Build OR condition for all valid levels, including world
# Build OR condition for the selected area and its ancestors
# (broader coverage that contains it). World is intentionally
# excluded: global datasets are counted only under the
# International bucket, not under every lower-level area.
patterns = " OR ".join(
f'spatial_coverage_exact:"{pattern}"'
for pattern in coverage_patterns + ["world"]
f'spatial_coverage_exact:"{pattern}"' for pattern in coverage_patterns
)
coverage_queries.append(f"({patterns})")

Expand Down Expand Up @@ -154,6 +156,7 @@ def get_facets(self, sqs: SearchQuerySet, facet_size: int = 6) -> dict[str, list
sqs = sqs.facet("organization_slug", size=facet_size)
sqs = sqs.facet("tag_slug", size=facet_size)
sqs = sqs.facet("entity_slug", size=facet_size)
sqs = sqs.facet("spatial_coverage", size=facet_size)

# Parse facet counts from Elasticsearch response
facets = {}
Expand All @@ -171,6 +174,7 @@ def get_facets(self, sqs: SearchQuerySet, facet_size: int = 6) -> dict[str, list
("organization_slug", "organizations", Organization),
("tag_slug", "tags", Tag),
("entity_slug", "observation_levels", Entity),
("spatial_coverage", "spatial_coverages", Area),
]

for es_field, api_field, model in facet_mappings:
Expand Down
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