kopia lustrzana https://github.com/simonw/datasette
254 wiersze
9.8 KiB
Python
254 wiersze
9.8 KiB
Python
from datasette.app import Datasette
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from bs4 import BeautifulSoup as Soup
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import pytest
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from .fixtures import ( # noqa
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app_client,
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app_client_csv_max_mb_one,
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app_client_with_cors,
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app_client_with_trace,
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)
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import urllib.parse
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EXPECTED_TABLE_CSV = """id,content
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1,hello
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2,world
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3,
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4,RENDER_CELL_DEMO
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5,RENDER_CELL_ASYNC
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""".replace(
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"\n", "\r\n"
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)
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EXPECTED_CUSTOM_CSV = """content
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hello
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world
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""".replace(
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"\n", "\r\n"
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)
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EXPECTED_TABLE_WITH_LABELS_CSV = """
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pk,created,planet_int,on_earth,state,_city_id,_city_id_label,_neighborhood,tags,complex_array,distinct_some_null,n
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1,2019-01-14 08:00:00,1,1,CA,1,San Francisco,Mission,"[""tag1"", ""tag2""]","[{""foo"": ""bar""}]",one,n1
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2,2019-01-14 08:00:00,1,1,CA,1,San Francisco,Dogpatch,"[""tag1"", ""tag3""]",[],two,n2
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3,2019-01-14 08:00:00,1,1,CA,1,San Francisco,SOMA,[],[],,
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4,2019-01-14 08:00:00,1,1,CA,1,San Francisco,Tenderloin,[],[],,
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5,2019-01-15 08:00:00,1,1,CA,1,San Francisco,Bernal Heights,[],[],,
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6,2019-01-15 08:00:00,1,1,CA,1,San Francisco,Hayes Valley,[],[],,
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7,2019-01-15 08:00:00,1,1,CA,2,Los Angeles,Hollywood,[],[],,
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8,2019-01-15 08:00:00,1,1,CA,2,Los Angeles,Downtown,[],[],,
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9,2019-01-16 08:00:00,1,1,CA,2,Los Angeles,Los Feliz,[],[],,
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10,2019-01-16 08:00:00,1,1,CA,2,Los Angeles,Koreatown,[],[],,
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11,2019-01-16 08:00:00,1,1,MI,3,Detroit,Downtown,[],[],,
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12,2019-01-17 08:00:00,1,1,MI,3,Detroit,Greektown,[],[],,
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13,2019-01-17 08:00:00,1,1,MI,3,Detroit,Corktown,[],[],,
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14,2019-01-17 08:00:00,1,1,MI,3,Detroit,Mexicantown,[],[],,
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15,2019-01-17 08:00:00,2,0,MC,4,Memnonia,Arcadia Planitia,[],[],,
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""".lstrip().replace(
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"\n", "\r\n"
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)
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EXPECTED_TABLE_WITH_NULLABLE_LABELS_CSV = """
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pk,foreign_key_with_label,foreign_key_with_label_label,foreign_key_with_blank_label,foreign_key_with_blank_label_label,foreign_key_with_no_label,foreign_key_with_no_label_label,foreign_key_compound_pk1,foreign_key_compound_pk2
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1,1,hello,3,,1,1,a,b
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2,,,,,,,,
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""".lstrip().replace(
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"\n", "\r\n"
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)
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@pytest.mark.asyncio
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async def test_table_csv(ds_client):
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response = await ds_client.get("/fixtures/simple_primary_key.csv?_oh=1")
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assert response.status_code == 200
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assert not response.headers.get("Access-Control-Allow-Origin")
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assert response.headers["content-type"] == "text/plain; charset=utf-8"
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assert response.text == EXPECTED_TABLE_CSV
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def test_table_csv_cors_headers(app_client_with_cors):
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response = app_client_with_cors.get("/fixtures/simple_primary_key.csv")
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assert response.status == 200
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assert response.headers["Access-Control-Allow-Origin"] == "*"
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@pytest.mark.asyncio
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async def test_table_csv_no_header(ds_client):
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response = await ds_client.get("/fixtures/simple_primary_key.csv?_header=off")
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assert response.status_code == 200
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assert not response.headers.get("Access-Control-Allow-Origin")
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assert response.headers["content-type"] == "text/plain; charset=utf-8"
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assert response.text == EXPECTED_TABLE_CSV.split("\r\n", 1)[1]
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@pytest.mark.asyncio
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async def test_table_csv_with_labels(ds_client):
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response = await ds_client.get("/fixtures/facetable.csv?_labels=1")
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/plain; charset=utf-8"
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assert response.text == EXPECTED_TABLE_WITH_LABELS_CSV
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@pytest.mark.asyncio
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async def test_table_csv_with_nullable_labels(ds_client):
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response = await ds_client.get("/fixtures/foreign_key_references.csv?_labels=1")
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/plain; charset=utf-8"
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assert response.text == EXPECTED_TABLE_WITH_NULLABLE_LABELS_CSV
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@pytest.mark.asyncio
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async def test_table_csv_with_invalid_labels():
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# https://github.com/simonw/datasette/issues/2214
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ds = Datasette()
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await ds.invoke_startup()
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db = ds.add_memory_database("db_2214")
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await db.execute_write_script(
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"""
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create table t1 (id integer primary key, name text);
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insert into t1 (id, name) values (1, 'one');
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insert into t1 (id, name) values (2, 'two');
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create table t2 (textid text primary key, name text);
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insert into t2 (textid, name) values ('a', 'alpha');
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insert into t2 (textid, name) values ('b', 'beta');
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create table if not exists maintable (
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id integer primary key,
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fk_integer integer references t1(id),
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fk_text text references t2(textid)
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);
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insert into maintable (id, fk_integer, fk_text) values (1, 1, 'a');
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insert into maintable (id, fk_integer, fk_text) values (2, 3, 'b'); -- invalid fk_integer
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insert into maintable (id, fk_integer, fk_text) values (3, 2, 'c'); -- invalid fk_text
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"""
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)
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response = await ds.client.get("/db_2214/maintable.csv?_labels=1")
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assert response.status_code == 200
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assert response.text == (
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"id,fk_integer,fk_integer_label,fk_text,fk_text_label\r\n"
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"1,1,one,a,alpha\r\n"
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"2,3,,b,beta\r\n"
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"3,2,two,c,\r\n"
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)
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@pytest.mark.asyncio
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async def test_table_csv_blob_columns(ds_client):
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response = await ds_client.get("/fixtures/binary_data.csv")
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/plain; charset=utf-8"
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assert response.text == (
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"rowid,data\r\n"
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"1,http://localhost/fixtures/binary_data/1.blob?_blob_column=data\r\n"
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"2,http://localhost/fixtures/binary_data/2.blob?_blob_column=data\r\n"
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"3,\r\n"
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)
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@pytest.mark.asyncio
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async def test_custom_sql_csv_blob_columns(ds_client):
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response = await ds_client.get(
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"/fixtures.csv?sql=select+rowid,+data+from+binary_data"
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)
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/plain; charset=utf-8"
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assert response.text == (
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"rowid,data\r\n"
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'1,"http://localhost/fixtures.blob?sql=select+rowid,+data+from+binary_data&_blob_column=data&_blob_hash=f3088978da8f9aea479ffc7f631370b968d2e855eeb172bea7f6c7a04262bb6d"\r\n'
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'2,"http://localhost/fixtures.blob?sql=select+rowid,+data+from+binary_data&_blob_column=data&_blob_hash=b835b0483cedb86130b9a2c280880bf5fadc5318ddf8c18d0df5204d40df1724"\r\n'
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"3,\r\n"
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)
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@pytest.mark.asyncio
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async def test_custom_sql_csv(ds_client):
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response = await ds_client.get(
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"/fixtures.csv?sql=select+content+from+simple_primary_key+limit+2"
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)
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/plain; charset=utf-8"
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assert response.text == EXPECTED_CUSTOM_CSV
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@pytest.mark.asyncio
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async def test_table_csv_download(ds_client):
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response = await ds_client.get("/fixtures/simple_primary_key.csv?_dl=1")
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/csv; charset=utf-8"
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assert (
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response.headers["content-disposition"]
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== 'attachment; filename="simple_primary_key.csv"'
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)
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@pytest.mark.asyncio
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async def test_csv_with_non_ascii_characters(ds_client):
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response = await ds_client.get(
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"/fixtures.csv?sql=select%0D%0A++%27%F0%9D%90%9C%F0%9D%90%A2%F0%9D%90%AD%F0%9D%90%A2%F0%9D%90%9E%F0%9D%90%AC%27+as+text%2C%0D%0A++1+as+number%0D%0Aunion%0D%0Aselect%0D%0A++%27bob%27+as+text%2C%0D%0A++2+as+number%0D%0Aorder+by%0D%0A++number"
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)
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/plain; charset=utf-8"
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assert response.text == "text,number\r\n𝐜𝐢𝐭𝐢𝐞𝐬,1\r\nbob,2\r\n"
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def test_max_csv_mb(app_client_csv_max_mb_one):
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# This query deliberately generates a really long string
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# should be 100*100*100*2 = roughly 2MB
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response = app_client_csv_max_mb_one.get(
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"/fixtures.csv?"
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+ urllib.parse.urlencode(
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{
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"sql": """
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select group_concat('ab', '')
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from json_each(json_array({lots})),
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json_each(json_array({lots})),
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json_each(json_array({lots}))
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""".format(
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lots=", ".join(str(i) for i in range(100))
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),
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"_stream": 1,
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"_size": "max",
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}
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),
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)
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# It's a 200 because we started streaming before we knew the error
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assert response.status == 200
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# Last line should be an error message
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last_line = [line for line in response.body.split(b"\r\n") if line][-1]
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assert last_line.startswith(b"CSV contains more than")
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@pytest.mark.asyncio
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async def test_table_csv_stream(ds_client):
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# Without _stream should return header + 100 rows:
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response = await ds_client.get(
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"/fixtures/compound_three_primary_keys.csv?_size=max"
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)
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assert len([b for b in response.content.split(b"\r\n") if b]) == 101
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# With _stream=1 should return header + 1001 rows
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response = await ds_client.get(
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"/fixtures/compound_three_primary_keys.csv?_stream=1"
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)
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assert len([b for b in response.content.split(b"\r\n") if b]) == 1002
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def test_csv_trace(app_client_with_trace):
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response = app_client_with_trace.get("/fixtures/simple_primary_key.csv?_trace=1")
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assert response.headers["content-type"] == "text/html; charset=utf-8"
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soup = Soup(response.text, "html.parser")
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assert (
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soup.find("textarea").text
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== "id,content\r\n1,hello\r\n2,world\r\n3,\r\n4,RENDER_CELL_DEMO\r\n5,RENDER_CELL_ASYNC\r\n"
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)
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assert "select id, content from simple_primary_key" in soup.find("pre").text
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def test_table_csv_stream_does_not_calculate_facets(app_client_with_trace):
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response = app_client_with_trace.get("/fixtures/simple_primary_key.csv?_trace=1")
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soup = Soup(response.text, "html.parser")
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assert "select content, count(*) as n" not in soup.find("pre").text
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def test_table_csv_stream_does_not_calculate_counts(app_client_with_trace):
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response = app_client_with_trace.get("/fixtures/simple_primary_key.csv?_trace=1")
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soup = Soup(response.text, "html.parser")
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assert "select count(*)" not in soup.find("pre").text
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