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JSON faceting now suggested even if column has blank strings, closes #1246

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This commit is contained in:
Simon Willison 2021-02-28 19:44:04 -08:00
commit 47eb885cc2
2 changed files with 30 additions and 3 deletions
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22
tests/test_facets.py
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@ -1,3 +1,5 @@
from datasette.app import Datasette
from datasette.database import Database
from datasette.facets import ColumnFacet, ArrayFacet, DateFacet
from datasette.utils.asgi import Request
from datasette.utils import detect_json1
@ -325,3 +327,23 @@ async def test_date_facet_results(app_client):
"truncated": False,
}
} == buckets
@pytest.mark.asyncio
async def test_json_array_with_blanks_and_nulls():
ds = Datasette([], memory=True)
db = ds.add_database(Database(ds, memory_name="test_json_array"))
await db.execute_write("create table foo(json_column text)", block=True)
for value in ('["a", "b", "c"]', '["a", "b"]', "", None):
await db.execute_write(
"insert into foo (json_column) values (?)", [value], block=True
)
response = await ds.client.get("/test_json_array/foo.json")
data = response.json()
assert data["suggested_facets"] == [
{
"name": "json_column",
"type": "array",
"toggle_url": "http://localhost/test_json_array/foo.json?_facet_array=json_column",
}
]