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test_blocks.py
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test_blocks.py
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import asyncio
import io
import json
import os
import random
import sys
import time
import unittest.mock as mock
from contextlib import contextmanager
from functools import partial
from string import capwords
from unittest.mock import patch
import mlflow
import pytest
import wandb
import websockets
from fastapi.testclient import TestClient
import gradio as gr
from gradio.exceptions import DuplicateBlockError
from gradio.test_data.blocks_configs import XRAY_CONFIG
from gradio.utils import assert_configs_are_equivalent_besides_ids
pytest_plugins = ("pytest_asyncio",)
os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
@contextmanager
def captured_output():
new_out, new_err = io.StringIO(), io.StringIO()
old_out, old_err = sys.stdout, sys.stderr
try:
sys.stdout, sys.stderr = new_out, new_err
yield sys.stdout, sys.stderr
finally:
sys.stdout, sys.stderr = old_out, old_err
class TestBlocksMethods:
maxDiff = None
def test_set_share(self):
with gr.Blocks() as demo:
# self.share is False when instantiating the class
assert not demo.share
# default is False, if share is None
demo.share = None
assert not demo.share
# if set to True, it doesn't change
demo.share = True
assert demo.share
@patch("gradio.networking.setup_tunnel")
@patch("gradio.utils.colab_check")
def test_set_share_in_colab(self, mock_colab_check, mock_setup_tunnel):
mock_colab_check.return_value = True
mock_setup_tunnel.return_value = "http://localhost:7860/"
with gr.Blocks() as demo:
# self.share is False when instantiating the class
assert not demo.share
# share default is False, if share is None in colab and no queueing
demo.launch(prevent_thread_lock=True)
assert not demo.share
demo.close()
# share becomes true, if share is None in colab with queueing
demo.queue()
demo.launch(prevent_thread_lock=True)
assert demo.share
demo.close()
def test_xray(self):
def fake_func():
return "Hello There"
xray_model = lambda diseases, img: {
disease: random.random() for disease in diseases
}
ct_model = lambda diseases, img: {disease: 0.1 for disease in diseases}
with gr.Blocks() as demo:
gr.Markdown(
"""
# Detect Disease From Scan
With this model you can lorem ipsum
- ipsum 1
- ipsum 2
"""
)
disease = gr.CheckboxGroup(
choices=["Covid", "Malaria", "Lung Cancer"], label="Disease to Scan For"
)
with gr.Tabs():
with gr.TabItem("X-ray"):
with gr.Row():
xray_scan = gr.Image()
xray_results = gr.JSON()
xray_run = gr.Button("Run")
xray_run.click(
xray_model, inputs=[disease, xray_scan], outputs=xray_results
)
with gr.TabItem("CT Scan"):
with gr.Row():
ct_scan = gr.Image()
ct_results = gr.JSON()
ct_run = gr.Button("Run")
ct_run.click(
ct_model, inputs=[disease, ct_scan], outputs=ct_results
)
textbox = gr.Textbox()
demo.load(fake_func, [], [textbox])
config = demo.get_config_file()
assert assert_configs_are_equivalent_besides_ids(XRAY_CONFIG, config)
assert config["show_api"] is True
_ = demo.launch(prevent_thread_lock=True, show_api=False)
assert demo.config["show_api"] is False
def test_load_from_config(self):
def update(name):
return f"Welcome to Gradio, {name}!"
with gr.Blocks() as demo1:
inp = gr.Textbox(placeholder="What is your name?")
out = gr.Textbox()
inp.submit(fn=update, inputs=inp, outputs=out, api_name="greet")
gr.Image().style(height=54, width=240)
config1 = demo1.get_config_file()
demo2 = gr.Blocks.from_config(config1, [update])
config2 = demo2.get_config_file()
assert assert_configs_are_equivalent_besides_ids(config1, config2)
def test_partial_fn_in_config(self):
def greet(name, formatter):
return formatter("Hello " + name + "!")
greet_upper_case = partial(greet, formatter=capwords)
with gr.Blocks() as demo:
t = gr.Textbox()
o = gr.Textbox()
t.change(greet_upper_case, t, o)
assert len(demo.fns) == 1
assert "fn" in str(demo.fns[0])
@pytest.mark.asyncio
async def test_dict_inputs_in_config(self):
with gr.Blocks() as demo:
first = gr.Textbox()
last = gr.Textbox()
btn = gr.Button()
greeting = gr.Textbox()
def greet(data):
return f"Hello {data[first]} {data[last]}"
btn.click(greet, {first, last}, greeting)
result = await demo.process_api(inputs=["huggy", "face"], fn_index=0)
assert result["data"] == ["Hello huggy face"]
@pytest.mark.asyncio
async def test_async_function(self):
async def wait(x):
await asyncio.sleep(0.01)
return x
with gr.Blocks() as demo:
text = gr.Textbox()
button = gr.Button()
button.click(wait, [text], [text])
start = time.time()
result = await demo.process_api(inputs=[1], fn_index=0)
end = time.time()
difference = end - start
assert difference >= 0.01
assert result
def test_integration_wandb(self):
with captured_output() as (out, err):
wandb.log = mock.MagicMock()
wandb.Html = mock.MagicMock()
demo = gr.Blocks()
with demo:
gr.Textbox("Hi there!")
demo.integrate(wandb=wandb)
assert (
out.getvalue().strip()
== "The WandB integration requires you to `launch(share=True)` first."
)
demo.share_url = "tmp"
demo.integrate(wandb=wandb)
wandb.log.assert_called_once()
@mock.patch("comet_ml.Experiment")
def test_integration_comet(self, mock_experiment):
experiment = mock_experiment()
experiment.log_text = mock.MagicMock()
experiment.log_other = mock.MagicMock()
demo = gr.Blocks()
with demo:
gr.Textbox("Hi there!")
demo.launch(prevent_thread_lock=True)
demo.integrate(comet_ml=experiment)
experiment.log_text.assert_called_with("gradio: " + demo.local_url)
demo.share_url = "tmp" # used to avoid creating real share links.
demo.integrate(comet_ml=experiment)
experiment.log_text.assert_called_with("gradio: " + demo.share_url)
assert experiment.log_other.call_count == 2
demo.share_url = None
demo.close()
def test_integration_mlflow(self):
mlflow.log_param = mock.MagicMock()
demo = gr.Blocks()
with demo:
gr.Textbox("Hi there!")
demo.launch(prevent_thread_lock=True)
demo.integrate(mlflow=mlflow)
mlflow.log_param.assert_called_with(
"Gradio Interface Local Link", demo.local_url
)
demo.share_url = "tmp" # used to avoid creating real share links.
demo.integrate(mlflow=mlflow)
mlflow.log_param.assert_called_with(
"Gradio Interface Share Link", demo.share_url
)
demo.share_url = None
demo.close()
@mock.patch("requests.post")
def test_initiated_analytics(self, mock_post):
with gr.Blocks(analytics_enabled=True):
pass
mock_post.assert_called_once()
def test_show_error(self):
with gr.Blocks() as demo:
pass
assert demo.show_error
demo.launch(prevent_thread_lock=True)
assert not demo.show_error
demo.close()
demo.launch(show_error=True, prevent_thread_lock=True)
assert demo.show_error
demo.close()
class TestComponentsInBlocks:
def test_slider_random_value_config(self):
with gr.Blocks() as demo:
gr.Slider(
value=11.2,
minimum=-10.2,
maximum=15,
label="Non-random Slider (Static)",
)
gr.Slider(
randomize=True,
minimum=100,
maximum=200,
label="Random Slider (Input 1)",
)
gr.Slider(
randomize=True,
minimum=10,
maximum=23.2,
label="Random Slider (Input 2)",
)
for component in demo.blocks.values():
if isinstance(component, gr.components.IOComponent):
if "Non-random" in component.label:
assert not component.attach_load_event
else:
assert component.attach_load_event
dependencies_on_load = [
dep["trigger"] == "load" for dep in demo.config["dependencies"]
]
assert all(dependencies_on_load)
assert len(dependencies_on_load) == 2
assert not any([dep["queue"] for dep in demo.config["dependencies"]])
def test_io_components_attach_load_events_when_value_is_fn(self, io_components):
io_components = [comp for comp in io_components if not (comp == gr.State)]
interface = gr.Interface(
lambda *args: None,
inputs=[comp(value=lambda: None) for comp in io_components],
outputs=None,
)
dependencies_on_load = [
dep for dep in interface.config["dependencies"] if dep["trigger"] == "load"
]
assert len(dependencies_on_load) == len(io_components)
def test_blocks_do_not_filter_none_values_from_updates(self, io_components):
io_components = [c() for c in io_components if c not in [gr.State, gr.Button]]
with gr.Blocks() as demo:
for component in io_components:
component.render()
btn = gr.Button(value="Reset")
btn.click(
lambda: [gr.update(value=None) for _ in io_components],
inputs=[],
outputs=io_components,
)
output = demo.postprocess_data(
0, [gr.update(value=None) for _ in io_components], state=None
)
assert all(
[o["value"] == c.postprocess(None) for o, c in zip(output, io_components)]
)
def test_blocks_does_not_replace_keyword_literal(self):
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button(value="Reset")
btn.click(
lambda: gr.update(value="NO_VALUE"),
inputs=[],
outputs=text,
)
output = demo.postprocess_data(0, gr.update(value="NO_VALUE"), state=None)
assert output[0]["value"] == "NO_VALUE"
def test_blocks_returns_correct_output_dict_single_key(self):
with gr.Blocks() as demo:
num = gr.Number()
num2 = gr.Number()
update = gr.Button(value="update")
def update_values(val):
return {num2: gr.Number.update(value=42)}
update.click(update_values, inputs=[num], outputs=[num2])
output = demo.postprocess_data(
0, {num2: gr.Number.update(value=42)}, state=None
)
assert output[0]["value"] == 42
output = demo.postprocess_data(0, {num2: 23}, state=None)
assert output[0] == 23
@pytest.mark.asyncio
async def test_blocks_update_dict_without_postprocessing(self):
def infer(x):
return gr.media_data.BASE64_IMAGE, gr.update(visible=True)
with gr.Blocks() as demo:
prompt = gr.Textbox()
image = gr.Image()
run_button = gr.Button()
share_button = gr.Button("share", visible=False)
run_button.click(infer, prompt, [image, share_button], postprocess=False)
output = await demo.process_api(0, ["test"])
assert output["data"][0] == gr.media_data.BASE64_IMAGE
assert output["data"][1] == {"__type__": "update", "visible": True}
@pytest.mark.asyncio
async def test_blocks_update_dict_does_not_postprocess_value_if_postprocessing_false(
self,
):
def infer(x):
return gr.Image.update(value=gr.media_data.BASE64_IMAGE)
with gr.Blocks() as demo:
prompt = gr.Textbox()
image = gr.Image()
run_button = gr.Button()
run_button.click(infer, [prompt], [image], postprocess=False)
output = await demo.process_api(0, ["test"])
assert output["data"][0] == {
"__type__": "update",
"value": gr.media_data.BASE64_IMAGE,
}
class TestCallFunction:
@pytest.mark.asyncio
async def test_call_regular_function(self):
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button()
btn.click(
lambda x: "Hello, " + x,
inputs=text,
outputs=text,
)
output = await demo.call_function(0, ["World"])
assert output["prediction"] == "Hello, World"
output = demo("World")
assert output == "Hello, World"
output = await demo.call_function(0, ["Abubakar"])
assert output["prediction"] == "Hello, Abubakar"
@pytest.mark.asyncio
async def test_call_multiple_functions(self):
with gr.Blocks() as demo:
text = gr.Textbox()
text2 = gr.Textbox()
btn = gr.Button()
btn.click(
lambda x: "Hello, " + x,
inputs=text,
outputs=text,
)
text.change(
lambda x: "Hi, " + x,
inputs=text,
outputs=text2,
)
output = await demo.call_function(0, ["World"])
assert output["prediction"] == "Hello, World"
output = demo("World")
assert output == "Hello, World"
output = await demo.call_function(1, ["World"])
assert output["prediction"] == "Hi, World"
output = demo("World", fn_index=1) # fn_index must be a keyword argument
assert output == "Hi, World"
@pytest.mark.asyncio
async def test_call_generator(self):
def generator(x):
for i in range(x):
yield i
with gr.Blocks() as demo:
inp = gr.Number()
out = gr.Number()
btn = gr.Button()
btn.click(
generator,
inputs=inp,
outputs=out,
)
demo.queue()
assert demo.config["enable_queue"]
output = await demo.call_function(0, [3])
assert output["prediction"] == 0
output = await demo.call_function(0, [3], iterator=output["iterator"])
assert output["prediction"] == 1
output = await demo.call_function(0, [3], iterator=output["iterator"])
assert output["prediction"] == 2
output = await demo.call_function(0, [3], iterator=output["iterator"])
assert output["prediction"] == gr.components._Keywords.FINISHED_ITERATING
assert output["iterator"] is None
output = await demo.call_function(0, [3], iterator=output["iterator"])
assert output["prediction"] == 0
@pytest.mark.asyncio
async def test_call_both_generator_and_function(self):
def generator(x):
for i in range(x):
yield i, x
with gr.Blocks() as demo:
inp = gr.Number()
out1 = gr.Number()
out2 = gr.Number()
btn = gr.Button()
inp.change(lambda x: x + x, inp, out1)
btn.click(
generator,
inputs=inp,
outputs=[out1, out2],
)
demo.queue()
output = await demo.call_function(0, [2])
assert output["prediction"] == 4
output = await demo.call_function(0, [-1])
assert output["prediction"] == -2
output = await demo.call_function(1, [3])
assert output["prediction"] == (0, 3)
output = await demo.call_function(1, [3], iterator=output["iterator"])
assert output["prediction"] == (1, 3)
output = await demo.call_function(1, [3], iterator=output["iterator"])
assert output["prediction"] == (2, 3)
output = await demo.call_function(1, [3], iterator=output["iterator"])
assert output["prediction"] == (gr.components._Keywords.FINISHED_ITERATING,) * 2
assert output["iterator"] is None
output = await demo.call_function(1, [3], iterator=output["iterator"])
assert output["prediction"] == (0, 3)
class TestBatchProcessing:
def test_raise_exception_if_batching_an_event_thats_not_queued(self):
def trim(words, lens):
trimmed_words = []
for w, l in zip(words, lens):
trimmed_words.append(w[: int(l)])
return [trimmed_words]
msg = "In order to use batching, the queue must be enabled."
with pytest.raises(ValueError, match=msg):
demo = gr.Interface(
trim, ["textbox", "number"], ["textbox"], batch=True, max_batch_size=16
)
demo.launch(prevent_thread_lock=True)
with pytest.raises(ValueError, match=msg):
with gr.Blocks() as demo:
with gr.Row():
word = gr.Textbox(label="word")
leng = gr.Number(label="leng")
output = gr.Textbox(label="Output")
with gr.Row():
run = gr.Button()
run.click(trim, [word, leng], output, batch=True, max_batch_size=16)
demo.launch(prevent_thread_lock=True)
with pytest.raises(ValueError, match=msg):
with gr.Blocks() as demo:
with gr.Row():
word = gr.Textbox(label="word")
leng = gr.Number(label="leng")
output = gr.Textbox(label="Output")
with gr.Row():
run = gr.Button()
run.click(
trim,
[word, leng],
output,
batch=True,
max_batch_size=16,
queue=False,
)
demo.queue()
demo.launch(prevent_thread_lock=True)
@pytest.mark.asyncio
async def test_call_regular_function(self):
def batch_fn(x):
results = []
for word in x:
results.append("Hello " + word)
return (results,)
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button()
btn.click(batch_fn, inputs=text, outputs=text, batch=True)
output = await demo.call_function(0, [["Adam", "Yahya"]])
assert output["prediction"][0] == ["Hello Adam", "Hello Yahya"]
output = demo("Abubakar")
assert output == "Hello Abubakar"
@pytest.mark.asyncio
async def test_functions_multiple_parameters(self):
def regular_fn(word1, word2):
return len(word1) > len(word2)
def batch_fn(words, lengths):
comparisons = []
trim_words = []
for word, length in zip(words, lengths):
trim_words.append(word[:length])
comparisons.append(len(word) > length)
return trim_words, comparisons
with gr.Blocks() as demo:
text1 = gr.Textbox()
text2 = gr.Textbox()
leng = gr.Number(precision=0)
bigger = gr.Checkbox()
btn1 = gr.Button("Check")
btn2 = gr.Button("Trim")
btn1.click(regular_fn, inputs=[text1, text2], outputs=bigger)
btn2.click(
batch_fn,
inputs=[text1, leng],
outputs=[text1, bigger],
batch=True,
)
output = await demo.call_function(0, ["Adam", "Yahya"])
assert output["prediction"] is False
output = demo("Abubakar", "Abid")
assert output
output = await demo.call_function(1, [["Adam", "Mary"], [3, 5]])
assert output["prediction"] == (
["Ada", "Mary"],
[True, False],
)
output = demo("Abubakar", 3, fn_index=1)
assert output == ["Abu", True]
@pytest.mark.asyncio
async def test_invalid_batch_generator(self):
with pytest.raises(ValueError):
def batch_fn(x):
results = []
for word in x:
results.append("Hello " + word)
yield (results,)
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button()
btn.click(batch_fn, inputs=text, outputs=text, batch=True)
await demo.process_api(0, [["Adam", "Yahya"]])
@pytest.mark.asyncio
async def test_exceeds_max_batch_size(self):
with pytest.raises(ValueError):
def batch_fn(x):
results = []
for word in x:
results.append("Hello " + word)
return (results,)
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button()
btn.click(
batch_fn, inputs=text, outputs=text, batch=True, max_batch_size=2
)
await demo.process_api(0, [["A", "B", "C"]])
@pytest.mark.asyncio
async def test_unequal_batch_sizes(self):
with pytest.raises(ValueError):
def batch_fn(x, y):
results = []
for word1, word2 in zip(x, y):
results.append("Hello " + word1 + word2)
return (results,)
with gr.Blocks() as demo:
t1 = gr.Textbox()
t2 = gr.Textbox()
btn = gr.Button()
btn.click(batch_fn, inputs=[t1, t2], outputs=t1, batch=True)
await demo.process_api(0, [["A", "B", "C"], ["D", "E"]])
class TestSpecificUpdate:
def test_without_update(self):
with pytest.raises(KeyError):
gr.Textbox.get_specific_update({"lines": 4})
def test_with_update(self):
specific_update = gr.Textbox.get_specific_update(
{"lines": 4, "__type__": "update"}
)
assert specific_update == {
"lines": 4,
"max_lines": None,
"placeholder": None,
"label": None,
"show_label": None,
"visible": None,
"value": gr.components._Keywords.NO_VALUE,
"__type__": "update",
}
def test_with_generic_update(self):
specific_update = gr.Video.get_specific_update(
{"visible": True, "value": "test.mp4", "__type__": "generic_update"}
)
assert specific_update == {
"source": None,
"label": None,
"show_label": None,
"interactive": None,
"visible": True,
"value": "test.mp4",
"__type__": "update",
}
class TestRender:
def test_duplicate_error(self):
with pytest.raises(DuplicateBlockError):
t = gr.Textbox()
with gr.Blocks():
t.render()
gr.Number()
t.render()
with pytest.raises(DuplicateBlockError):
with gr.Blocks():
t = gr.Textbox()
t.render()
with pytest.raises(DuplicateBlockError):
io = gr.Interface(lambda x: x, gr.Textbox(), gr.Textbox())
with gr.Blocks():
io.render()
io.render()
with pytest.raises(DuplicateBlockError):
t = gr.Textbox()
io = gr.Interface(lambda x: x, t, gr.Textbox())
with gr.Blocks():
io.render()
t.render()
def test_no_error(self):
t = gr.Textbox()
t2 = gr.Textbox()
with gr.Blocks():
t.render()
t3 = t2.render()
assert t2 == t3
t = gr.Textbox()
io = gr.Interface(lambda x: x, t, gr.Textbox())
with gr.Blocks():
io.render()
gr.Textbox()
io = gr.Interface(lambda x: x, gr.Textbox(), gr.Textbox())
io2 = gr.Interface(lambda x: x, gr.Textbox(), gr.Textbox())
with gr.Blocks():
io.render()
io3 = io2.render()
assert io2 == io3
class TestCancel:
@pytest.mark.skipif(
sys.version_info < (3, 8),
reason="Tasks dont have names in 3.7",
)
@pytest.mark.asyncio
async def test_cancel_function(self, capsys):
async def long_job():
await asyncio.sleep(10)
print("HELLO FROM LONG JOB")
with gr.Blocks() as demo:
button = gr.Button(value="Start")
click = button.click(long_job, None, None)
cancel = gr.Button(value="Cancel")
cancel.click(None, None, None, cancels=[click])
cancel_fun = demo.fns[-1].fn
task = asyncio.create_task(long_job())
task.set_name("foo_0")
# If cancel_fun didn't cancel long_job the message would be printed to the console
# The test would also take 10 seconds
await asyncio.gather(task, cancel_fun("foo"), return_exceptions=True)
captured = capsys.readouterr()
assert "HELLO FROM LONG JOB" not in captured.out
@pytest.mark.skipif(
sys.version_info < (3, 8),
reason="Tasks dont have names in 3.7",
)
@pytest.mark.asyncio
async def test_cancel_function_with_multiple_blocks(self, capsys):
async def long_job():
await asyncio.sleep(10)
print("HELLO FROM LONG JOB")
with gr.Blocks() as demo1:
textbox = gr.Textbox()
button1 = gr.Button(value="Start")
button1.click(lambda x: x, textbox, textbox)
with gr.Blocks() as demo2:
button2 = gr.Button(value="Start")
click = button2.click(long_job, None, None)
cancel = gr.Button(value="Cancel")
cancel.click(None, None, None, cancels=[click])
with gr.Blocks() as demo:
with gr.Tab("Demo 1"):
demo1.render()
with gr.Tab("Demo 2"):
demo2.render()
cancel_fun = demo.fns[-1].fn
task = asyncio.create_task(long_job())
task.set_name("foo_1")
await asyncio.gather(task, cancel_fun("foo"), return_exceptions=True)
captured = capsys.readouterr()
assert "HELLO FROM LONG JOB" not in captured.out
def test_raise_exception_if_cancelling_an_event_thats_not_queued(self):
def iteration(a):
yield a
msg = "In order to cancel an event, the queue for that event must be enabled!"
with pytest.raises(ValueError, match=msg):
gr.Interface(iteration, inputs=gr.Number(), outputs=gr.Number()).launch(
prevent_thread_lock=True
)
with pytest.raises(ValueError, match=msg):
with gr.Blocks() as demo:
button = gr.Button(value="Predict")
click = button.click(None, None, None)
cancel = gr.Button(value="Cancel")
cancel.click(None, None, None, cancels=[click])
demo.launch(prevent_thread_lock=True)
with pytest.raises(ValueError, match=msg):
with gr.Blocks() as demo:
button = gr.Button(value="Predict")
click = button.click(None, None, None, queue=False)
cancel = gr.Button(value="Cancel")
cancel.click(None, None, None, cancels=[click])
demo.queue().launch(prevent_thread_lock=True)
class TestEvery:
def test_raise_exception_if_parameters_invalid(self):
with pytest.raises(
ValueError, match="Cannot run change event in a batch and every 0.5 seconds"
):
with gr.Blocks():
num = gr.Number()
num.change(
lambda s: s + 1, inputs=[num], outputs=[num], every=0.5, batch=True
)
with pytest.raises(
ValueError, match="Parameter every must be positive or None"
):
with gr.Blocks():
num = gr.Number()
num.change(lambda s: s + 1, inputs=[num], outputs=[num], every=-0.1)
@pytest.mark.asyncio
async def test_every_does_not_block_queue(self):
with gr.Blocks() as demo:
num = gr.Number(value=0)
name = gr.Textbox()
greeting = gr.Textbox()
button = gr.Button(value="Greet")
name.change(lambda n: n + random.random(), num, num, every=0.5)
button.click(lambda s: f"Hello, {s}!", name, greeting)
app, _, _ = demo.queue(max_size=1).launch(prevent_thread_lock=True)
client = TestClient(app)
async with websockets.connect(
f"{demo.local_url.replace('http', 'ws')}queue/join"
) as ws:
completed = False
while not completed:
msg = json.loads(await ws.recv())
if msg["msg"] == "send_data":
await ws.send(json.dumps({"data": [0], "fn_index": 0}))
if msg["msg"] == "send_hash":
await ws.send(json.dumps({"fn_index": 0, "session_hash": "shdce"}))
status = client.get("/queue/status")
# If the continuous event got pushed to the queue, the size would be nonzero
# asserting false will terminate the test
if status.json()["queue_size"] != 0:
assert False
else:
break
def test_queue_enabled_for_fn():
with gr.Blocks() as demo:
input = gr.Textbox()
output = gr.Textbox()
number = gr.Number()
button = gr.Button()
button.click(lambda x: f"Hello, {x}!", input, output)
button.click(lambda: 42, None, number, queue=True)
assert not demo.queue_enabled_for_fn(0)
assert demo.queue_enabled_for_fn(1)
demo.queue()
assert demo.queue_enabled_for_fn(0)
assert demo.queue_enabled_for_fn(1)
@pytest.mark.asyncio
async def test_queue_when_using_auth():
sleep_time = 1
async def say_hello(name):
await asyncio.sleep(sleep_time)
return f"Hello {name}!"
with gr.Blocks() as demo:
_input = gr.Textbox()
_output = gr.Textbox()
button = gr.Button()
button.click(say_hello, _input, _output)
demo.queue()
app, _, _ = demo.launch(auth=("abc", "123"), prevent_thread_lock=True)
client = TestClient(app)
resp = client.post(
f"{demo.local_url}login",
data={"username": "abc", "password": "123"},
follow_redirects=False,
)
assert resp.status_code == 302
token = resp.cookies.get("access-token")
assert token
with pytest.raises(Exception) as e:
async with websockets.connect(
f"{demo.local_url.replace('http', 'ws')}queue/join",
) as ws:
await ws.recv()
assert e.type == websockets.InvalidStatusCode
async def run_ws(_loop, _time, i):
async with websockets.connect(
f"{demo.local_url.replace('http', 'ws')}queue/join",
extra_headers={"Cookie": f"access-token={token}"},
) as ws:
while True:
try:
msg = json.loads(await ws.recv())
except websockets.ConnectionClosedOK:
break
if msg["msg"] == "send_hash":
await ws.send(
json.dumps({"fn_index": 0, "session_hash": "enwpitpex2q"})
)
if msg["msg"] == "send_data":
await ws.send(
json.dumps(
{
"data": [str(i)],
"fn_index": 0,
"session_hash": "enwpitpex2q",
}
)
)
msg = json.loads(await ws.recv())
assert msg["msg"] == "process_starts"
if msg["msg"] == "process_completed":
assert msg["success"]
assert msg["output"]["data"] == [f"Hello {i}!"]
assert _loop.time() > _time
break
loop = asyncio.get_event_loop()
tm = loop.time()
group = asyncio.gather(
*[run_ws(loop, tm + sleep_time * (i + 1) - 0.3, i) for i in range(3)]
)
await group