mirror of
https://github.com/gradio-app/gradio.git
synced 2024-12-21 02:19:59 +08:00
f346118133
* Show message when no named api routes * Lint * Change text slightly * Add show_api to launch method + fix text * Undo changes to demos * Change url example
413 lines
14 KiB
Python
413 lines
14 KiB
Python
import asyncio
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import io
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import os
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import random
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import sys
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import time
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import unittest
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import unittest.mock as mock
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from contextlib import contextmanager
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from functools import partial
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from string import capwords
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from unittest.mock import patch
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import mlflow
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import pytest
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import wandb
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import gradio as gr
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from gradio.routes import PredictBody
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from gradio.test_data.blocks_configs import XRAY_CONFIG
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from gradio.utils import assert_configs_are_equivalent_besides_ids
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pytest_plugins = ("pytest_asyncio",)
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os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
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@contextmanager
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def captured_output():
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new_out, new_err = io.StringIO(), io.StringIO()
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old_out, old_err = sys.stdout, sys.stderr
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try:
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sys.stdout, sys.stderr = new_out, new_err
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yield sys.stdout, sys.stderr
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finally:
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sys.stdout, sys.stderr = old_out, old_err
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class TestBlocks(unittest.TestCase):
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maxDiff = None
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def test_set_share(self):
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with gr.Blocks() as demo:
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# self.share is False when instantiating the class
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self.assertFalse(demo.share)
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# default is False, if share is None
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demo.share = None
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self.assertFalse(demo.share)
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# if set to True, it doesn't change
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demo.share = True
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self.assertTrue(demo.share)
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@patch("gradio.utils.colab_check")
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def test_set_share_in_colab(self, mock_colab_check):
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mock_colab_check.return_value = True
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with gr.Blocks() as demo:
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# self.share is False when instantiating the class
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self.assertFalse(demo.share)
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# default is True, if share is None and colab_check is true
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demo.share = None
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self.assertTrue(demo.share)
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# if set to True, it doesn't change
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demo.share = True
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self.assertTrue(demo.share)
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def test_xray(self):
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def fake_func():
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return "Hello There"
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xray_model = lambda diseases, img: {
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disease: random.random() for disease in diseases
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}
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ct_model = lambda diseases, img: {disease: 0.1 for disease in diseases}
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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# Detect Disease From Scan
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With this model you can lorem ipsum
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- ipsum 1
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- ipsum 2
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"""
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)
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disease = gr.CheckboxGroup(
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choices=["Covid", "Malaria", "Lung Cancer"], label="Disease to Scan For"
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)
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with gr.Tabs():
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with gr.TabItem("X-ray"):
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with gr.Row():
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xray_scan = gr.Image()
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xray_results = gr.JSON()
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xray_run = gr.Button("Run")
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xray_run.click(
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xray_model, inputs=[disease, xray_scan], outputs=xray_results
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)
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with gr.TabItem("CT Scan"):
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with gr.Row():
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ct_scan = gr.Image()
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ct_results = gr.JSON()
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ct_run = gr.Button("Run")
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ct_run.click(
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ct_model, inputs=[disease, ct_scan], outputs=ct_results
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)
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textbox = gr.Textbox()
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demo.load(fake_func, [], [textbox])
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config = demo.get_config_file()
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self.assertTrue(assert_configs_are_equivalent_besides_ids(XRAY_CONFIG, config))
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assert config["show_api"] is True
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_ = demo.launch(prevent_thread_lock=True, show_api=False)
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assert demo.config["show_api"] is False
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def test_load_from_config(self):
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def update(name):
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return f"Welcome to Gradio, {name}!"
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with gr.Blocks() as demo1:
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inp = gr.Textbox(placeholder="What is your name?")
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out = gr.Textbox()
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inp.submit(fn=update, inputs=inp, outputs=out, api_name="greet")
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gr.Image().style(height=54, width=240)
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config1 = demo1.get_config_file()
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demo2 = gr.Blocks.from_config(config1, [update])
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config2 = demo2.get_config_file()
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self.assertTrue(assert_configs_are_equivalent_besides_ids(config1, config2))
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def test_partial_fn_in_config(self):
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def greet(name, formatter):
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return formatter("Hello " + name + "!")
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greet_upper_case = partial(greet, formatter=capwords)
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with gr.Blocks() as demo:
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t = gr.Textbox()
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o = gr.Textbox()
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t.change(greet_upper_case, t, o)
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assert len(demo.fns) == 1
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assert "fn" in str(demo.fns[0])
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@pytest.mark.asyncio
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async def test_async_function(self):
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async def wait():
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await asyncio.sleep(0.01)
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return True
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with gr.Blocks() as demo:
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text = gr.Textbox()
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button = gr.Button()
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button.click(wait, [text], [text])
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body = PredictBody(data=1, fn_index=0)
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start = time.time()
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result = await demo.process_api(body)
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end = time.time()
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difference = end - start
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assert difference >= 0.01
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assert result
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def test_integration_wandb(self):
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with captured_output() as (out, err):
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wandb.log = mock.MagicMock()
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wandb.Html = mock.MagicMock()
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demo = gr.Blocks()
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with demo:
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gr.Textbox("Hi there!")
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demo.integrate(wandb=wandb)
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self.assertEqual(
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out.getvalue().strip(),
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"The WandB integration requires you to `launch(share=True)` first.",
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)
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demo.share_url = "tmp"
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demo.integrate(wandb=wandb)
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wandb.log.assert_called_once()
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@mock.patch("comet_ml.Experiment")
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def test_integration_comet(self, mock_experiment):
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experiment = mock_experiment()
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experiment.log_text = mock.MagicMock()
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experiment.log_other = mock.MagicMock()
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demo = gr.Blocks()
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with demo:
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gr.Textbox("Hi there!")
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demo.launch(prevent_thread_lock=True)
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demo.integrate(comet_ml=experiment)
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experiment.log_text.assert_called_with("gradio: " + demo.local_url)
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demo.share_url = "tmp" # used to avoid creating real share links.
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demo.integrate(comet_ml=experiment)
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experiment.log_text.assert_called_with("gradio: " + demo.share_url)
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self.assertEqual(experiment.log_other.call_count, 2)
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demo.share_url = None
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demo.close()
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def test_integration_mlflow(self):
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mlflow.log_param = mock.MagicMock()
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demo = gr.Blocks()
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with demo:
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gr.Textbox("Hi there!")
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demo.launch(prevent_thread_lock=True)
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demo.integrate(mlflow=mlflow)
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mlflow.log_param.assert_called_with(
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"Gradio Interface Local Link", demo.local_url
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)
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demo.share_url = "tmp" # used to avoid creating real share links.
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demo.integrate(mlflow=mlflow)
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mlflow.log_param.assert_called_with(
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"Gradio Interface Share Link", demo.share_url
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)
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demo.share_url = None
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demo.close()
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@mock.patch("requests.post")
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def test_initiated_analytics(self, mock_post):
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with gr.Blocks(analytics_enabled=True):
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pass
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mock_post.assert_called_once()
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class TestComponentsInBlocks:
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def test_slider_random_value_config(self):
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with gr.Blocks() as demo:
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gr.Slider(
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value=11.2,
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minimum=-10.2,
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maximum=15,
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label="Non-random Slider (Static)",
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)
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gr.Slider(
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randomize=True,
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minimum=100,
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maximum=200,
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label="Random Slider (Input 1)",
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)
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gr.Slider(
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randomize=True,
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minimum=10,
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maximum=23.2,
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label="Random Slider (Input 2)",
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)
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for component in demo.blocks.values():
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if isinstance(component, gr.components.IOComponent):
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if "Non-random" in component.label:
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assert not component.attach_load_event
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else:
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assert component.attach_load_event
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dependencies_on_load = [
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dep["trigger"] == "load" for dep in demo.config["dependencies"]
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]
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assert all(dependencies_on_load)
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assert len(dependencies_on_load) == 2
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assert not any([dep["queue"] for dep in demo.config["dependencies"]])
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def test_io_components_attach_load_events_when_value_is_fn(self, io_components):
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io_components = [comp for comp in io_components if not (comp == gr.State)]
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interface = gr.Interface(
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lambda *args: None,
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inputs=[comp(value=lambda: None) for comp in io_components],
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outputs=None,
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)
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dependencies_on_load = [
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dep for dep in interface.config["dependencies"] if dep["trigger"] == "load"
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]
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assert len(dependencies_on_load) == len(io_components)
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def test_blocks_do_not_filter_none_values_from_updates(self, io_components):
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io_components = [c() for c in io_components if c not in [gr.State, gr.Button]]
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with gr.Blocks() as demo:
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for component in io_components:
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component.render()
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btn = gr.Button(value="Reset")
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btn.click(
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lambda: [gr.update(value=None) for _ in io_components],
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inputs=[],
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outputs=io_components,
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)
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output = demo.postprocess_data(
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0, [gr.update(value=None) for _ in io_components], state=None
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)
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assert all(
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[o["value"] == c.postprocess(None) for o, c in zip(output, io_components)]
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)
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def test_blocks_does_not_replace_keyword_literal(self):
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with gr.Blocks() as demo:
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text = gr.Textbox()
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btn = gr.Button(value="Reset")
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btn.click(
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lambda: gr.update(value="NO_VALUE"),
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inputs=[],
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outputs=text,
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)
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output = demo.postprocess_data(0, gr.update(value="NO_VALUE"), state=None)
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assert output[0]["value"] == "NO_VALUE"
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def test_blocks_returns_correct_output_dict_single_key():
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with gr.Blocks() as demo:
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num = gr.Number()
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num2 = gr.Number()
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update = gr.Button(value="update")
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def update_values():
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return {num2: gr.Number.update(value=42)}
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update.click(update_values, inputs=[num], outputs=[num2])
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output = demo.postprocess_data(0, {num2: gr.Number.update(value=42)}, state=None)
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assert output[0]["value"] == 42
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output = demo.postprocess_data(0, {num2: 23}, state=None)
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assert output[0] == 23
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class TestCallFunction:
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@pytest.mark.asyncio
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async def test_call_regular_function(self):
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with gr.Blocks() as demo:
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text = gr.Textbox()
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btn = gr.Button()
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btn.click(
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lambda x: "Hello, " + x,
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inputs=text,
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outputs=text,
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)
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output = await demo.call_function(0, ["World"])
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assert output["prediction"] == "Hello, World"
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output = await demo.call_function(0, ["Abubakar"])
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assert output["prediction"] == "Hello, Abubakar"
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@pytest.mark.asyncio
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async def test_call_generator(self):
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def generator(x):
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for i in range(x):
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yield i
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with gr.Blocks() as demo:
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inp = gr.Number()
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out = gr.Number()
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btn = gr.Button()
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btn.click(
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generator,
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inputs=inp,
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outputs=out,
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)
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demo.queue()
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output = await demo.call_function(0, [3])
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assert output["prediction"] == 0
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output = await demo.call_function(0, [3], iterator=output["iterator"])
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assert output["prediction"] == 1
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output = await demo.call_function(0, [3], iterator=output["iterator"])
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assert output["prediction"] == 2
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output = await demo.call_function(0, [3], iterator=output["iterator"])
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assert output["prediction"] == gr.components._Keywords.FINISHED_ITERATING
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assert output["iterator"] is None
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output = await demo.call_function(0, [3], iterator=output["iterator"])
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assert output["prediction"] == 0
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@pytest.mark.asyncio
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async def test_call_both_generator_and_function(self):
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def generator(x):
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for i in range(x):
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yield i, x
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with gr.Blocks() as demo:
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inp = gr.Number()
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out1 = gr.Number()
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out2 = gr.Number()
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btn = gr.Button()
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inp.change(lambda x: x + x, inp, out1)
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btn.click(
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generator,
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inputs=inp,
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outputs=[out1, out2],
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)
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demo.queue()
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output = await demo.call_function(0, [2])
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assert output["prediction"] == 4
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output = await demo.call_function(0, [-1])
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assert output["prediction"] == -2
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output = await demo.call_function(1, [3])
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assert output["prediction"] == (0, 3)
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output = await demo.call_function(1, [3], iterator=output["iterator"])
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assert output["prediction"] == (1, 3)
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output = await demo.call_function(1, [3], iterator=output["iterator"])
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assert output["prediction"] == (2, 3)
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output = await demo.call_function(1, [3], iterator=output["iterator"])
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assert output["prediction"] == (gr.components._Keywords.FINISHED_ITERATING,) * 2
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assert output["iterator"] is None
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output = await demo.call_function(1, [3], iterator=output["iterator"])
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assert output["prediction"] == (0, 3)
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if __name__ == "__main__":
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unittest.main()
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