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import datetime

import time

import progressbar

def test_timer():

'''Testing (Adaptive)ETA when the value doesn't actually change'''

widgets = [

progressbar.Timer(),

]

p = progressbar.ProgressBar(

max_value=2,

widgets=widgets,

poll_interval=0.0001,

)

p.start()

p.update()

p.update(1)

p._needs_update()

time.sleep(0.001)

p.update(1)

p.finish()

def test_eta():

'''Testing (Adaptive)ETA when the value doesn't actually change'''

widgets = [

progressbar.ETA(),

]

p = progressbar.ProgressBar(

min_value=0,

max_value=2,

widgets=widgets,

poll_interval=0.0001,

)

p.start()

time.sleep(0.001)

p.update(0)

time.sleep(0.001)

p.update(1)

time.sleep(0.001)

p.update(1)

time.sleep(0.001)

p.update(2)

time.sleep(0.001)

p.finish()

time.sleep(0.001)

p.update(2)

def test_adaptive_eta():

'''Testing (Adaptive)ETA when the value doesn't actually change'''

widgets = [

progressbar.AdaptiveETA(),

]

widgets[0].INTERVAL = datetime.timedelta(microseconds=1)

p = progressbar.ProgressBar(

max_value=2,

samples=2,

widgets=widgets,

poll_interval=0.0001,

)

p.start()

for _i in range(20):

p.update(1)

time.sleep(0.001)

p.finish()

def test_adaptive_transfer_speed():

'''Testing (Adaptive)ETA when the value doesn't actually change'''

widgets = [

progressbar.AdaptiveTransferSpeed(),

]

p = progressbar.ProgressBar(

max_value=2,

widgets=widgets,

poll_interval=0.0001,

)

p.start()

p.update(1)

time.sleep(0.001)

p.update(1)

p.finish()

def test_etas(monkeypatch):

'''Compare file transfer speed to adaptive transfer speed'''

n = 10

interval = datetime.timedelta(seconds=1)

widgets = [

progressbar.FileTransferSpeed(),

progressbar.AdaptiveTransferSpeed(samples=n / 2),

]

datas = []

# Capture the output sent towards the `_speed` method

def calculate_eta(self, value, elapsed):

'''Capture the widget output'''

data = dict(

value=value,

elapsed=int(elapsed),

)

datas.append(data)

return 0, 0

monkeypatch.setattr(progressbar.FileTransferSpeed, '_speed', calculate_eta)

monkeypatch.setattr(

progressbar.AdaptiveTransferSpeed,

'_speed',

calculate_eta,

)

for widget in widgets:

widget.INTERVAL = interval

p = progressbar.ProgressBar(

max_value=n,

widgets=widgets,

poll_interval=interval,

)

# Run the first few samples at a low speed and speed up later so we can

# compare the results from both widgets

for i in range(n):

p.update(i)

if i > n / 2:

time.sleep(1)

else:

time.sleep(10)

p.finish()

# Due to weird travis issues, the actual testing is disabled for now

# import pprint

# pprint.pprint(datas[::2])

# pprint.pprint(datas[1::2])

# for i, (a, b) in enumerate(zip(datas[::2], datas[1::2])):

# # Because the speed is identical initially, the results should be the

# # same for adaptive and regular transfer speed. Only when the speed

# # changes we should start see a lot of differences between the two

# if i < (n / 2 - 1):

# assert a['elapsed'] == b['elapsed']

# if i > (n / 2 + 1):

# assert a['elapsed'] > b['elapsed']

def test_non_changing_eta():

'''Testing (Adaptive)ETA when the value doesn't actually change'''

widgets = [

progressbar.AdaptiveETA(),

progressbar.ETA(),

progressbar.AdaptiveTransferSpeed(),

]

p = progressbar.ProgressBar(

max_value=2,

widgets=widgets,

poll_interval=0.0001,

)

p.start()

p.update(1)

time.sleep(0.001)

p.update(1)

p.finish()

def test_eta_not_available():

'''

When ETA is not available (data coming from a generator),

ETAs should not raise exceptions.

'''

def gen():

yield from range(200)

widgets = [progressbar.AdaptiveETA(), progressbar.ETA()]

bar = progressbar.ProgressBar(widgets=widgets)

for _i in bar(gen()):

pass