datasette/tests/test_table_api.py

1401 wiersze
45 KiB
Python

from datasette.utils import detect_json1
from datasette.utils.sqlite import sqlite_version
from .fixtures import ( # noqa
app_client,
app_client_with_trace,
app_client_returned_rows_matches_page_size,
generate_compound_rows,
generate_sortable_rows,
make_app_client,
)
import json
import pytest
import urllib
@pytest.mark.asyncio
async def test_table_json(ds_client):
response = await ds_client.get("/fixtures/simple_primary_key.json?_extra=query")
assert response.status_code == 200
data = response.json()
assert (
data["query"]["sql"]
== "select id, content from simple_primary_key order by id limit 51"
)
assert data["query"]["params"] == {}
assert data["rows"] == [
{"id": "1", "content": "hello"},
{"id": "2", "content": "world"},
{"id": "3", "content": ""},
{"id": "4", "content": "RENDER_CELL_DEMO"},
{"id": "5", "content": "RENDER_CELL_ASYNC"},
]
@pytest.mark.asyncio
async def test_table_not_exists_json(ds_client):
assert (await ds_client.get("/fixtures/blah.json")).json() == {
"ok": False,
"error": "Table not found: blah",
"status": 404,
"title": None,
}
@pytest.mark.asyncio
async def test_table_shape_arrays(ds_client):
response = await ds_client.get("/fixtures/simple_primary_key.json?_shape=arrays")
assert response.json()["rows"] == [
["1", "hello"],
["2", "world"],
["3", ""],
["4", "RENDER_CELL_DEMO"],
["5", "RENDER_CELL_ASYNC"],
]
@pytest.mark.asyncio
async def test_table_shape_arrayfirst(ds_client):
response = await ds_client.get(
"/fixtures.json?"
+ urllib.parse.urlencode(
{
"sql": "select content from simple_primary_key order by id",
"_shape": "arrayfirst",
}
)
)
assert response.json() == [
"hello",
"world",
"",
"RENDER_CELL_DEMO",
"RENDER_CELL_ASYNC",
]
@pytest.mark.asyncio
async def test_table_shape_objects(ds_client):
response = await ds_client.get("/fixtures/simple_primary_key.json?_shape=objects")
assert response.json()["rows"] == [
{"id": "1", "content": "hello"},
{"id": "2", "content": "world"},
{"id": "3", "content": ""},
{"id": "4", "content": "RENDER_CELL_DEMO"},
{"id": "5", "content": "RENDER_CELL_ASYNC"},
]
@pytest.mark.asyncio
async def test_table_shape_array(ds_client):
response = await ds_client.get("/fixtures/simple_primary_key.json?_shape=array")
assert response.json() == [
{"id": "1", "content": "hello"},
{"id": "2", "content": "world"},
{"id": "3", "content": ""},
{"id": "4", "content": "RENDER_CELL_DEMO"},
{"id": "5", "content": "RENDER_CELL_ASYNC"},
]
@pytest.mark.asyncio
async def test_table_shape_array_nl(ds_client):
response = await ds_client.get(
"/fixtures/simple_primary_key.json?_shape=array&_nl=on"
)
lines = response.text.split("\n")
results = [json.loads(line) for line in lines]
assert [
{"id": "1", "content": "hello"},
{"id": "2", "content": "world"},
{"id": "3", "content": ""},
{"id": "4", "content": "RENDER_CELL_DEMO"},
{"id": "5", "content": "RENDER_CELL_ASYNC"},
] == results
@pytest.mark.asyncio
async def test_table_shape_invalid(ds_client):
response = await ds_client.get("/fixtures/simple_primary_key.json?_shape=invalid")
assert response.json() == {
"ok": False,
"error": "Invalid _shape: invalid",
"status": 400,
"title": None,
}
@pytest.mark.asyncio
async def test_table_shape_object(ds_client):
response = await ds_client.get("/fixtures/simple_primary_key.json?_shape=object")
assert response.json() == {
"1": {"id": "1", "content": "hello"},
"2": {"id": "2", "content": "world"},
"3": {"id": "3", "content": ""},
"4": {"id": "4", "content": "RENDER_CELL_DEMO"},
"5": {"id": "5", "content": "RENDER_CELL_ASYNC"},
}
@pytest.mark.asyncio
async def test_table_shape_object_compound_primary_key(ds_client):
response = await ds_client.get("/fixtures/compound_primary_key.json?_shape=object")
assert response.json() == {
"a,b": {"pk1": "a", "pk2": "b", "content": "c"},
"a~2Fb,~2Ec-d": {"pk1": "a/b", "pk2": ".c-d", "content": "c"},
}
@pytest.mark.asyncio
async def test_table_with_slashes_in_name(ds_client):
response = await ds_client.get(
"/fixtures/table~2Fwith~2Fslashes~2Ecsv.json?_shape=objects"
)
assert response.status_code == 200
data = response.json()
assert data["rows"] == [{"pk": "3", "content": "hey"}]
@pytest.mark.asyncio
async def test_table_with_reserved_word_name(ds_client):
response = await ds_client.get("/fixtures/select.json?_shape=objects")
assert response.status_code == 200
data = response.json()
assert data["rows"] == [
{
"rowid": 1,
"group": "group",
"having": "having",
"and": "and",
"json": '{"href": "http://example.com/", "label":"Example"}',
}
]
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_rows,expected_pages",
[
("/fixtures/no_primary_key.json", 201, 5),
("/fixtures/paginated_view.json", 201, 9),
("/fixtures/no_primary_key.json?_size=25", 201, 9),
("/fixtures/paginated_view.json?_size=50", 201, 5),
("/fixtures/paginated_view.json?_size=max", 201, 3),
("/fixtures/123_starts_with_digits.json", 0, 1),
# Ensure faceting doesn't break pagination:
("/fixtures/compound_three_primary_keys.json?_facet=pk1", 1001, 21),
# Paginating while sorted by an expanded foreign key should work
(
"/fixtures/roadside_attraction_characteristics.json?_size=2&_sort=attraction_id&_labels=on",
5,
3,
),
],
)
async def test_paginate_tables_and_views(
ds_client, path, expected_rows, expected_pages
):
fetched = []
count = 0
while path:
if "?" in path:
path += "&_extra=next_url"
else:
path += "?_extra=next_url"
response = await ds_client.get(path)
assert response.status_code == 200
count += 1
fetched.extend(response.json()["rows"])
path = response.json()["next_url"]
if path:
assert urllib.parse.urlencode({"_next": response.json()["next"]}) in path
path = path.replace("http://localhost", "")
assert count < 30, "Possible infinite loop detected"
assert expected_rows == len(fetched)
assert expected_pages == count
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_error",
[
("/fixtures/no_primary_key.json?_size=-4", "_size must be a positive integer"),
("/fixtures/no_primary_key.json?_size=dog", "_size must be a positive integer"),
("/fixtures/no_primary_key.json?_size=1001", "_size must be <= 100"),
],
)
async def test_validate_page_size(ds_client, path, expected_error):
response = await ds_client.get(path)
assert expected_error == response.json()["error"]
assert response.status_code == 400
@pytest.mark.asyncio
async def test_page_size_zero(ds_client):
"""For _size=0 we return the counts, empty rows and no continuation token"""
response = await ds_client.get(
"/fixtures/no_primary_key.json?_size=0&_extra=count,next_url"
)
assert response.status_code == 200
assert [] == response.json()["rows"]
assert 201 == response.json()["count"]
assert None is response.json()["next"]
assert None is response.json()["next_url"]
@pytest.mark.asyncio
async def test_paginate_compound_keys(ds_client):
fetched = []
path = "/fixtures/compound_three_primary_keys.json?_shape=objects&_extra=next_url"
page = 0
while path:
page += 1
response = await ds_client.get(path)
fetched.extend(response.json()["rows"])
path = response.json()["next_url"]
if path:
path = path.replace("http://localhost", "")
assert page < 100
assert 1001 == len(fetched)
assert 21 == page
# Should be correctly ordered
contents = [f["content"] for f in fetched]
expected = [r[3] for r in generate_compound_rows(1001)]
assert expected == contents
@pytest.mark.asyncio
async def test_paginate_compound_keys_with_extra_filters(ds_client):
fetched = []
path = "/fixtures/compound_three_primary_keys.json?content__contains=d&_shape=objects&_extra=next_url"
page = 0
while path:
page += 1
assert page < 100
response = await ds_client.get(path)
fetched.extend(response.json()["rows"])
path = response.json()["next_url"]
if path:
path = path.replace("http://localhost", "")
assert 2 == page
expected = [r[3] for r in generate_compound_rows(1001) if "d" in r[3]]
assert expected == [f["content"] for f in fetched]
@pytest.mark.asyncio
@pytest.mark.parametrize(
"query_string,sort_key,human_description_en",
[
("_sort=sortable", lambda row: row["sortable"], "sorted by sortable"),
(
"_sort_desc=sortable",
lambda row: -row["sortable"],
"sorted by sortable descending",
),
(
"_sort=sortable_with_nulls",
lambda row: (
1 if row["sortable_with_nulls"] is not None else 0,
row["sortable_with_nulls"],
),
"sorted by sortable_with_nulls",
),
(
"_sort_desc=sortable_with_nulls",
lambda row: (
1 if row["sortable_with_nulls"] is None else 0,
2024-01-31 03:55:26 +00:00
(
-row["sortable_with_nulls"]
if row["sortable_with_nulls"] is not None
else 0
),
row["content"],
),
"sorted by sortable_with_nulls descending",
),
# text column contains '$null' - ensure it doesn't confuse pagination:
("_sort=text", lambda row: row["text"], "sorted by text"),
# Still works if sort column removed using _col=
("_sort=text&_col=content", lambda row: row["text"], "sorted by text"),
],
)
async def test_sortable(ds_client, query_string, sort_key, human_description_en):
path = f"/fixtures/sortable.json?_shape=objects&_extra=human_description_en,next_url&{query_string}"
fetched = []
page = 0
while path:
page += 1
assert page < 100
response = await ds_client.get(path)
assert human_description_en == response.json()["human_description_en"]
fetched.extend(response.json()["rows"])
path = response.json()["next_url"]
if path:
path = path.replace("http://localhost", "")
assert page == 5
expected = list(generate_sortable_rows(201))
expected.sort(key=sort_key)
assert [r["content"] for r in expected] == [r["content"] for r in fetched]
@pytest.mark.asyncio
async def test_sortable_and_filtered(ds_client):
path = (
"/fixtures/sortable.json"
"?content__contains=d&_sort_desc=sortable&_shape=objects"
"&_extra=human_description_en,count"
)
response = await ds_client.get(path)
fetched = response.json()["rows"]
assert (
'where content contains "d" sorted by sortable descending'
== response.json()["human_description_en"]
)
expected = [row for row in generate_sortable_rows(201) if "d" in row["content"]]
assert len(expected) == response.json()["count"]
expected.sort(key=lambda row: -row["sortable"])
assert [r["content"] for r in expected] == [r["content"] for r in fetched]
@pytest.mark.asyncio
async def test_sortable_argument_errors(ds_client):
response = await ds_client.get("/fixtures/sortable.json?_sort=badcolumn")
assert "Cannot sort table by badcolumn" == response.json()["error"]
response = await ds_client.get("/fixtures/sortable.json?_sort_desc=badcolumn2")
assert "Cannot sort table by badcolumn2" == response.json()["error"]
response = await ds_client.get(
"/fixtures/sortable.json?_sort=sortable_with_nulls&_sort_desc=sortable"
)
assert (
"Cannot use _sort and _sort_desc at the same time" == response.json()["error"]
)
@pytest.mark.asyncio
async def test_sortable_columns_metadata(ds_client):
response = await ds_client.get("/fixtures/sortable.json?_sort=content")
assert "Cannot sort table by content" == response.json()["error"]
# no_primary_key has ALL sort options disabled
for column in ("content", "a", "b", "c"):
response = await ds_client.get(f"/fixtures/sortable.json?_sort={column}")
assert f"Cannot sort table by {column}" == response.json()["error"]
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_rows",
[
(
"/fixtures/searchable.json?_shape=arrays&_search=dog",
[
[1, "barry cat", "terry dog", "panther"],
[2, "terry dog", "sara weasel", "puma"],
],
),
(
# Special keyword shouldn't break FTS query
"/fixtures/searchable.json?_shape=arrays&_search=AND",
[],
),
(
# Without _searchmode=raw this should return no results
"/fixtures/searchable.json?_shape=arrays&_search=te*+AND+do*",
[],
),
(
# _searchmode=raw
"/fixtures/searchable.json?_shape=arrays&_search=te*+AND+do*&_searchmode=raw",
[
[1, "barry cat", "terry dog", "panther"],
[2, "terry dog", "sara weasel", "puma"],
],
),
(
# _searchmode=raw combined with _search_COLUMN
"/fixtures/searchable.json?_shape=arrays&_search_text2=te*&_searchmode=raw",
[
[1, "barry cat", "terry dog", "panther"],
],
),
(
"/fixtures/searchable.json?_shape=arrays&_search=weasel",
[[2, "terry dog", "sara weasel", "puma"]],
),
(
"/fixtures/searchable.json?_shape=arrays&_search_text2=dog",
[[1, "barry cat", "terry dog", "panther"]],
),
(
"/fixtures/searchable.json?_shape=arrays&_search_name%20with%20.%20and%20spaces=panther",
[[1, "barry cat", "terry dog", "panther"]],
),
],
)
async def test_searchable(ds_client, path, expected_rows):
response = await ds_client.get(path)
assert expected_rows == response.json()["rows"]
_SEARCHMODE_RAW_RESULTS = [
[1, "barry cat", "terry dog", "panther"],
[2, "terry dog", "sara weasel", "puma"],
]
@pytest.mark.parametrize(
"table_metadata,querystring,expected_rows",
[
(
{},
"_search=te*+AND+do*",
[],
),
(
{"searchmode": "raw"},
"_search=te*+AND+do*",
_SEARCHMODE_RAW_RESULTS,
),
(
{},
"_search=te*+AND+do*&_searchmode=raw",
_SEARCHMODE_RAW_RESULTS,
),
# Can be over-ridden with _searchmode=escaped
(
{"searchmode": "raw"},
"_search=te*+AND+do*&_searchmode=escaped",
[],
),
],
)
def test_searchmode(table_metadata, querystring, expected_rows):
with make_app_client(
metadata={"databases": {"fixtures": {"tables": {"searchable": table_metadata}}}}
) as client:
response = client.get("/fixtures/searchable.json?_shape=arrays&" + querystring)
assert expected_rows == response.json["rows"]
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_rows",
[
(
"/fixtures/searchable_view_configured_by_metadata.json?_shape=arrays&_search=weasel",
[[2, "terry dog", "sara weasel", "puma"]],
),
# This should return all results because search is not configured:
(
"/fixtures/searchable_view.json?_shape=arrays&_search=weasel",
[
[1, "barry cat", "terry dog", "panther"],
[2, "terry dog", "sara weasel", "puma"],
],
),
(
"/fixtures/searchable_view.json?_shape=arrays&_search=weasel&_fts_table=searchable_fts&_fts_pk=pk",
[[2, "terry dog", "sara weasel", "puma"]],
),
],
)
async def test_searchable_views(ds_client, path, expected_rows):
response = await ds_client.get(path)
assert response.json()["rows"] == expected_rows
@pytest.mark.asyncio
async def test_searchable_invalid_column(ds_client):
response = await ds_client.get("/fixtures/searchable.json?_search_invalid=x")
assert response.status_code == 400
assert response.json() == {
"ok": False,
"error": "Cannot search by that column",
"status": 400,
"title": None,
}
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_rows",
[
(
"/fixtures/simple_primary_key.json?_shape=arrays&content=hello",
[["1", "hello"]],
),
(
"/fixtures/simple_primary_key.json?_shape=arrays&content__contains=o",
[
["1", "hello"],
["2", "world"],
["4", "RENDER_CELL_DEMO"],
],
),
(
"/fixtures/simple_primary_key.json?_shape=arrays&content__exact=",
[["3", ""]],
),
(
"/fixtures/simple_primary_key.json?_shape=arrays&content__not=world",
[
["1", "hello"],
["3", ""],
["4", "RENDER_CELL_DEMO"],
["5", "RENDER_CELL_ASYNC"],
],
),
],
)
async def test_table_filter_queries(ds_client, path, expected_rows):
response = await ds_client.get(path)
assert response.json()["rows"] == expected_rows
@pytest.mark.asyncio
async def test_table_filter_queries_multiple_of_same_type(ds_client):
response = await ds_client.get(
"/fixtures/simple_primary_key.json?_shape=arrays&content__not=world&content__not=hello"
)
assert [
["3", ""],
["4", "RENDER_CELL_DEMO"],
["5", "RENDER_CELL_ASYNC"],
] == response.json()["rows"]
@pytest.mark.skipif(not detect_json1(), reason="Requires the SQLite json1 module")
@pytest.mark.asyncio
async def test_table_filter_json_arraycontains(ds_client):
response = await ds_client.get(
"/fixtures/facetable.json?_shape=arrays&tags__arraycontains=tag1"
)
assert response.json()["rows"] == [
[
1,
"2019-01-14 08:00:00",
1,
1,
"CA",
1,
"Mission",
'["tag1", "tag2"]',
'[{"foo": "bar"}]',
"one",
"n1",
],
[
2,
"2019-01-14 08:00:00",
1,
1,
"CA",
1,
"Dogpatch",
'["tag1", "tag3"]',
"[]",
"two",
"n2",
],
]
@pytest.mark.skipif(not detect_json1(), reason="Requires the SQLite json1 module")
@pytest.mark.asyncio
async def test_table_filter_json_arraynotcontains(ds_client):
response = await ds_client.get(
"/fixtures/facetable.json?_shape=arrays&tags__arraynotcontains=tag3&tags__not=[]"
)
assert response.json()["rows"] == [
[
1,
"2019-01-14 08:00:00",
1,
1,
"CA",
1,
"Mission",
'["tag1", "tag2"]',
'[{"foo": "bar"}]',
"one",
"n1",
]
]
@pytest.mark.asyncio
async def test_table_filter_extra_where(ds_client):
response = await ds_client.get(
"/fixtures/facetable.json?_shape=arrays&_where=_neighborhood='Dogpatch'"
)
assert [
[
2,
"2019-01-14 08:00:00",
1,
1,
"CA",
1,
"Dogpatch",
'["tag1", "tag3"]',
"[]",
"two",
"n2",
]
] == response.json()["rows"]
@pytest.mark.asyncio
async def test_table_filter_extra_where_invalid(ds_client):
response = await ds_client.get(
"/fixtures/facetable.json?_where=_neighborhood=Dogpatch'"
)
assert response.status_code == 400
assert "Invalid SQL" == response.json()["title"]
def test_table_filter_extra_where_disabled_if_no_sql_allowed():
with make_app_client(config={"allow_sql": {}}) as client:
response = client.get(
"/fixtures/facetable.json?_where=_neighborhood='Dogpatch'"
)
assert response.status_code == 403
assert "_where= is not allowed" == response.json["error"]
@pytest.mark.asyncio
async def test_table_through(ds_client):
# Just the museums:
response = await ds_client.get(
"/fixtures/roadside_attractions.json?_shape=arrays"
'&_through={"table":"roadside_attraction_characteristics","column":"characteristic_id","value":"1"}'
"&_extra=human_description_en"
)
assert response.json()["rows"] == [
[
3,
"Burlingame Museum of PEZ Memorabilia",
"214 California Drive, Burlingame, CA 94010",
None,
37.5793,
-122.3442,
],
[
4,
"Bigfoot Discovery Museum",
"5497 Highway 9, Felton, CA 95018",
"https://www.bigfootdiscoveryproject.com/",
37.0414,
-122.0725,
],
]
assert (
response.json()["human_description_en"]
== 'where roadside_attraction_characteristics.characteristic_id = "1"'
)
@pytest.mark.asyncio
async def test_max_returned_rows(ds_client):
response = await ds_client.get(
"/fixtures.json?sql=select+content+from+no_primary_key"
)
data = response.json()
assert data["truncated"]
assert 100 == len(data["rows"])
@pytest.mark.asyncio
async def test_view(ds_client):
response = await ds_client.get("/fixtures/simple_view.json?_shape=objects")
assert response.status_code == 200
data = response.json()
assert data["rows"] == [
{"upper_content": "HELLO", "content": "hello"},
{"upper_content": "WORLD", "content": "world"},
{"upper_content": "", "content": ""},
{"upper_content": "RENDER_CELL_DEMO", "content": "RENDER_CELL_DEMO"},
{"upper_content": "RENDER_CELL_ASYNC", "content": "RENDER_CELL_ASYNC"},
]
@pytest.mark.xfail
@pytest.mark.asyncio
async def test_unit_filters(ds_client):
response = await ds_client.get(
"/fixtures/units.json?_shape=arrays&distance__lt=75km&frequency__gt=1kHz"
)
assert response.status_code == 200
data = response.json()
assert data["units"]["distance"] == "m"
assert data["units"]["frequency"] == "Hz"
assert len(data["rows"]) == 1
assert data["rows"][0][0] == 2
def test_page_size_matching_max_returned_rows(
app_client_returned_rows_matches_page_size,
):
fetched = []
path = "/fixtures/no_primary_key.json?_extra=next_url"
while path:
response = app_client_returned_rows_matches_page_size.get(path)
fetched.extend(response.json["rows"])
assert len(response.json["rows"]) in (1, 50)
path = response.json["next_url"]
if path:
path = path.replace("http://localhost", "")
assert len(fetched) == 201
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_facet_results",
[
(
"/fixtures/facetable.json?_facet=state&_facet=_city_id",
{
"state": {
"name": "state",
"hideable": True,
"type": "column",
"toggle_url": "/fixtures/facetable.json?_facet=_city_id",
"results": [
{
"value": "CA",
"label": "CA",
"count": 10,
"toggle_url": "_facet=state&_facet=_city_id&state=CA",
"selected": False,
},
{
"value": "MI",
"label": "MI",
"count": 4,
"toggle_url": "_facet=state&_facet=_city_id&state=MI",
"selected": False,
},
{
"value": "MC",
"label": "MC",
"count": 1,
"toggle_url": "_facet=state&_facet=_city_id&state=MC",
"selected": False,
},
],
"truncated": False,
},
"_city_id": {
"name": "_city_id",
"hideable": True,
"type": "column",
"toggle_url": "/fixtures/facetable.json?_facet=state",
"results": [
{
"value": 1,
"label": "San Francisco",
"count": 6,
"toggle_url": "_facet=state&_facet=_city_id&_city_id__exact=1",
"selected": False,
},
{
"value": 2,
"label": "Los Angeles",
"count": 4,
"toggle_url": "_facet=state&_facet=_city_id&_city_id__exact=2",
"selected": False,
},
{
"value": 3,
"label": "Detroit",
"count": 4,
"toggle_url": "_facet=state&_facet=_city_id&_city_id__exact=3",
"selected": False,
},
{
"value": 4,
"label": "Memnonia",
"count": 1,
"toggle_url": "_facet=state&_facet=_city_id&_city_id__exact=4",
"selected": False,
},
],
"truncated": False,
},
},
),
(
"/fixtures/facetable.json?_facet=state&_facet=_city_id&state=MI",
{
"state": {
"name": "state",
"hideable": True,
"type": "column",
"toggle_url": "/fixtures/facetable.json?_facet=_city_id&state=MI",
"results": [
{
"value": "MI",
"label": "MI",
"count": 4,
"selected": True,
"toggle_url": "_facet=state&_facet=_city_id",
}
],
"truncated": False,
},
"_city_id": {
"name": "_city_id",
"hideable": True,
"type": "column",
"toggle_url": "/fixtures/facetable.json?_facet=state&state=MI",
"results": [
{
"value": 3,
"label": "Detroit",
"count": 4,
"selected": False,
"toggle_url": "_facet=state&_facet=_city_id&state=MI&_city_id__exact=3",
}
],
"truncated": False,
},
},
),
(
"/fixtures/facetable.json?_facet=planet_int",
{
"planet_int": {
"name": "planet_int",
"hideable": True,
"type": "column",
"toggle_url": "/fixtures/facetable.json",
"results": [
{
"value": 1,
"label": 1,
"count": 14,
"selected": False,
"toggle_url": "_facet=planet_int&planet_int=1",
},
{
"value": 2,
"label": 2,
"count": 1,
"selected": False,
"toggle_url": "_facet=planet_int&planet_int=2",
},
],
"truncated": False,
}
},
),
(
# planet_int is an integer field:
"/fixtures/facetable.json?_facet=planet_int&planet_int=1",
{
"planet_int": {
"name": "planet_int",
"hideable": True,
"type": "column",
"toggle_url": "/fixtures/facetable.json?planet_int=1",
"results": [
{
"value": 1,
"label": 1,
"count": 14,
"selected": True,
"toggle_url": "_facet=planet_int",
}
],
"truncated": False,
}
},
),
],
)
async def test_facets(ds_client, path, expected_facet_results):
response = await ds_client.get(path)
facet_results = response.json()["facet_results"]
# We only compare the querystring portion of the taggle_url
for facet_name, facet_info in facet_results["results"].items():
assert facet_name == facet_info["name"]
assert False is facet_info["truncated"]
for facet_value in facet_info["results"]:
facet_value["toggle_url"] = facet_value["toggle_url"].split("?")[1]
assert expected_facet_results == facet_results["results"]
@pytest.mark.asyncio
@pytest.mark.skipif(not detect_json1(), reason="requires JSON1 extension")
async def test_facets_array(ds_client):
response = await ds_client.get("/fixtures/facetable.json?_facet_array=tags")
facet_results = response.json()["facet_results"]
assert facet_results["results"]["tags"]["results"] == [
{
"value": "tag1",
"label": "tag1",
"count": 2,
"toggle_url": "http://localhost/fixtures/facetable.json?_facet_array=tags&tags__arraycontains=tag1",
"selected": False,
},
{
"value": "tag2",
"label": "tag2",
"count": 1,
"toggle_url": "http://localhost/fixtures/facetable.json?_facet_array=tags&tags__arraycontains=tag2",
"selected": False,
},
{
"value": "tag3",
"label": "tag3",
"count": 1,
"toggle_url": "http://localhost/fixtures/facetable.json?_facet_array=tags&tags__arraycontains=tag3",
"selected": False,
},
]
@pytest.mark.asyncio
async def test_suggested_facets(ds_client):
suggestions = [
{
"name": suggestion["name"],
"querystring": suggestion["toggle_url"].split("?")[-1],
}
for suggestion in (
await ds_client.get("/fixtures/facetable.json?_extra=suggested_facets")
).json()["suggested_facets"]
]
expected = [
{"name": "created", "querystring": "_extra=suggested_facets&_facet=created"},
{
"name": "planet_int",
"querystring": "_extra=suggested_facets&_facet=planet_int",
},
{"name": "on_earth", "querystring": "_extra=suggested_facets&_facet=on_earth"},
{"name": "state", "querystring": "_extra=suggested_facets&_facet=state"},
{"name": "_city_id", "querystring": "_extra=suggested_facets&_facet=_city_id"},
{
"name": "_neighborhood",
"querystring": "_extra=suggested_facets&_facet=_neighborhood",
},
{"name": "tags", "querystring": "_extra=suggested_facets&_facet=tags"},
{
"name": "complex_array",
"querystring": "_extra=suggested_facets&_facet=complex_array",
},
{
"name": "created",
"querystring": "_extra=suggested_facets&_facet_date=created",
},
]
if detect_json1():
expected.append(
{"name": "tags", "querystring": "_extra=suggested_facets&_facet_array=tags"}
)
assert expected == suggestions
def test_allow_facet_off():
with make_app_client(settings={"allow_facet": False}) as client:
assert (
client.get(
"/fixtures/facetable.json?_facet=planet_int&_extra=suggested_facets"
).status
== 400
)
data = client.get("/fixtures/facetable.json?_extra=suggested_facets").json
# Should not suggest any facets either:
assert [] == data["suggested_facets"]
def test_suggest_facets_off():
with make_app_client(settings={"suggest_facets": False}) as client:
# Now suggested_facets should be []
assert (
[]
== client.get("/fixtures/facetable.json?_extra=suggested_facets").json[
"suggested_facets"
]
)
@pytest.mark.asyncio
@pytest.mark.parametrize("nofacet", (True, False))
async def test_nofacet(ds_client, nofacet):
path = "/fixtures/facetable.json?_facet=state&_extra=suggested_facets"
if nofacet:
path += "&_nofacet=1"
response = await ds_client.get(path)
if nofacet:
assert response.json()["suggested_facets"] == []
assert response.json()["facet_results"]["results"] == {}
else:
assert response.json()["suggested_facets"] != []
assert response.json()["facet_results"]["results"] != {}
@pytest.mark.asyncio
@pytest.mark.parametrize("nosuggest", (True, False))
async def test_nosuggest(ds_client, nosuggest):
path = "/fixtures/facetable.json?_facet=state&_extra=suggested_facets"
if nosuggest:
path += "&_nosuggest=1"
response = await ds_client.get(path)
if nosuggest:
assert response.json()["suggested_facets"] == []
# But facets should still be returned:
assert response.json()["facet_results"] != {}
else:
assert response.json()["suggested_facets"] != []
assert response.json()["facet_results"] != {}
@pytest.mark.asyncio
@pytest.mark.parametrize("nocount,expected_count", ((True, None), (False, 15)))
async def test_nocount(ds_client, nocount, expected_count):
path = "/fixtures/facetable.json?_extra=count"
if nocount:
path += "&_nocount=1"
response = await ds_client.get(path)
assert response.json()["count"] == expected_count
def test_nocount_nofacet_if_shape_is_object(app_client_with_trace):
response = app_client_with_trace.get(
"/fixtures/facetable.json?_trace=1&_shape=object"
)
assert "count(*)" not in response.text
@pytest.mark.asyncio
async def test_expand_labels(ds_client):
response = await ds_client.get(
"/fixtures/facetable.json?_shape=object&_labels=1&_size=2"
"&_neighborhood__contains=c"
)
assert response.json() == {
"2": {
"pk": 2,
"created": "2019-01-14 08:00:00",
"planet_int": 1,
"on_earth": 1,
"state": "CA",
"_city_id": {"value": 1, "label": "San Francisco"},
"_neighborhood": "Dogpatch",
"tags": '["tag1", "tag3"]',
"complex_array": "[]",
"distinct_some_null": "two",
"n": "n2",
},
"13": {
"pk": 13,
"created": "2019-01-17 08:00:00",
"planet_int": 1,
"on_earth": 1,
"state": "MI",
"_city_id": {"value": 3, "label": "Detroit"},
"_neighborhood": "Corktown",
"tags": "[]",
"complex_array": "[]",
"distinct_some_null": None,
"n": None,
},
}
@pytest.mark.asyncio
async def test_expand_label(ds_client):
response = await ds_client.get(
"/fixtures/foreign_key_references.json?_shape=object"
"&_label=foreign_key_with_label&_size=1"
)
assert response.json() == {
"1": {
"pk": "1",
"foreign_key_with_label": {"value": "1", "label": "hello"},
"foreign_key_with_blank_label": "3",
"foreign_key_with_no_label": "1",
"foreign_key_compound_pk1": "a",
"foreign_key_compound_pk2": "b",
}
}
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_cache_control",
[
("/fixtures/facetable.json", "max-age=5"),
("/fixtures/facetable.json?_ttl=invalid", "max-age=5"),
("/fixtures/facetable.json?_ttl=10", "max-age=10"),
("/fixtures/facetable.json?_ttl=0", "no-cache"),
],
)
async def test_ttl_parameter(ds_client, path, expected_cache_control):
response = await ds_client.get(path)
assert response.headers["Cache-Control"] == expected_cache_control
@pytest.mark.asyncio
async def test_infinity_returned_as_null(ds_client):
response = await ds_client.get("/fixtures/infinity.json?_shape=array")
assert response.json() == [
{"rowid": 1, "value": None},
{"rowid": 2, "value": None},
{"rowid": 3, "value": 1.5},
]
@pytest.mark.asyncio
async def test_infinity_returned_as_invalid_json_if_requested(ds_client):
response = await ds_client.get(
"/fixtures/infinity.json?_shape=array&_json_infinity=1"
)
assert response.json() == [
{"rowid": 1, "value": float("inf")},
{"rowid": 2, "value": float("-inf")},
{"rowid": 3, "value": 1.5},
]
@pytest.mark.asyncio
async def test_custom_query_with_unicode_characters(ds_client):
# /fixtures/𝐜𝐢𝐭𝐢𝐞𝐬.json
response = await ds_client.get(
"/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC.json?_shape=array"
)
assert response.json() == [{"id": 1, "name": "San Francisco"}]
@pytest.mark.asyncio
async def test_null_and_compound_foreign_keys_are_not_expanded(ds_client):
response = await ds_client.get(
"/fixtures/foreign_key_references.json?_shape=array&_labels=on"
)
assert response.json() == [
{
"pk": "1",
"foreign_key_with_label": {"value": "1", "label": "hello"},
"foreign_key_with_blank_label": {"value": "3", "label": ""},
"foreign_key_with_no_label": {"value": "1", "label": "1"},
"foreign_key_compound_pk1": "a",
"foreign_key_compound_pk2": "b",
},
{
"pk": "2",
"foreign_key_with_label": None,
"foreign_key_with_blank_label": None,
"foreign_key_with_no_label": None,
"foreign_key_compound_pk1": None,
"foreign_key_compound_pk2": None,
},
]
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_json,expected_text",
[
(
"/fixtures/binary_data.json?_shape=array",
[
{"rowid": 1, "data": {"$base64": True, "encoded": "FRwCx60F/g=="}},
{"rowid": 2, "data": {"$base64": True, "encoded": "FRwDx60F/g=="}},
{"rowid": 3, "data": None},
],
None,
),
(
"/fixtures/binary_data.json?_shape=array&_nl=on",
None,
(
'{"rowid": 1, "data": {"$base64": true, "encoded": "FRwCx60F/g=="}}\n'
'{"rowid": 2, "data": {"$base64": true, "encoded": "FRwDx60F/g=="}}\n'
'{"rowid": 3, "data": null}'
),
),
],
)
async def test_binary_data_in_json(ds_client, path, expected_json, expected_text):
response = await ds_client.get(path)
if expected_json:
assert response.json() == expected_json
else:
assert response.text == expected_text
@pytest.mark.asyncio
@pytest.mark.parametrize(
"qs",
[
"",
"?_shape=arrays",
"?_shape=arrayfirst",
"?_shape=object",
"?_shape=objects",
"?_shape=array",
"?_shape=array&_nl=on",
],
)
async def test_paginate_using_link_header(ds_client, qs):
path = f"/fixtures/compound_three_primary_keys.json{qs}"
num_pages = 0
while path:
response = await ds_client.get(path)
assert response.status_code == 200
num_pages += 1
link = response.headers.get("link")
if link:
assert link.startswith("<")
assert link.endswith('>; rel="next"')
path = link[1:].split(">")[0]
path = path.replace("http://localhost", "")
else:
path = None
assert num_pages == 21
@pytest.mark.skipif(
sqlite_version() < (3, 31, 0),
reason="generated columns were added in SQLite 3.31.0",
)
def test_generated_columns_are_visible_in_datasette():
with make_app_client(
extra_databases={
"generated.db": """
CREATE TABLE generated_columns (
body TEXT,
id INT GENERATED ALWAYS AS (json_extract(body, '$.number')) STORED,
consideration INT GENERATED ALWAYS AS (json_extract(body, '$.string')) STORED
);
INSERT INTO generated_columns (body) VALUES (
'{"number": 1, "string": "This is a string"}'
);"""
}
) as client:
response = client.get("/generated/generated_columns.json?_shape=array")
assert response.json == [
{
"rowid": 1,
"body": '{"number": 1, "string": "This is a string"}',
"id": 1,
"consideration": "This is a string",
}
]
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_columns",
(
("/fixtures/facetable.json?_col=created", ["pk", "created"]),
(
"/fixtures/facetable.json?_nocol=created",
[
"pk",
"planet_int",
"on_earth",
"state",
"_city_id",
"_neighborhood",
"tags",
"complex_array",
"distinct_some_null",
"n",
],
),
(
"/fixtures/facetable.json?_col=state&_col=created",
["pk", "state", "created"],
),
(
"/fixtures/facetable.json?_col=state&_col=state",
["pk", "state"],
),
(
"/fixtures/facetable.json?_col=state&_col=created&_nocol=created",
["pk", "state"],
),
(
# Ensure faceting doesn't break, https://github.com/simonw/datasette/issues/1345
"/fixtures/facetable.json?_nocol=state&_facet=state",
[
"pk",
"created",
"planet_int",
"on_earth",
"_city_id",
"_neighborhood",
"tags",
"complex_array",
"distinct_some_null",
"n",
],
),
(
"/fixtures/simple_view.json?_nocol=content",
["upper_content"],
),
("/fixtures/simple_view.json?_col=content", ["content"]),
),
)
async def test_col_nocol(ds_client, path, expected_columns):
response = await ds_client.get(path + "&_extra=columns")
assert response.status_code == 200
columns = response.json()["columns"]
assert columns == expected_columns
@pytest.mark.asyncio
@pytest.mark.parametrize(
"path,expected_error",
(
("/fixtures/facetable.json?_col=bad", "_col=bad - invalid columns"),
("/fixtures/facetable.json?_nocol=bad", "_nocol=bad - invalid columns"),
("/fixtures/facetable.json?_nocol=pk", "_nocol=pk - invalid columns"),
("/fixtures/simple_view.json?_col=bad", "_col=bad - invalid columns"),
),
)
async def test_col_nocol_errors(ds_client, path, expected_error):
response = await ds_client.get(path)
assert response.status_code == 400
assert response.json()["error"] == expected_error
@pytest.mark.asyncio
@pytest.mark.parametrize(
"extra,expected_json",
(
(
"columns",
{
"ok": True,
"next": None,
"columns": ["id", "content", "content2"],
"rows": [{"id": "1", "content": "hey", "content2": "world"}],
"truncated": False,
},
),
2024-01-08 21:13:53 +00:00
(
"count",
{
"ok": True,
"next": None,
"rows": [{"id": "1", "content": "hey", "content2": "world"}],
"truncated": False,
"count": 1,
},
),
),
)
async def test_table_extras(ds_client, extra, expected_json):
response = await ds_client.get(
"/fixtures/primary_key_multiple_columns.json?_extra=" + extra
)
assert response.status_code == 200
assert response.json() == expected_json