A customizable ANSI-based progress bar.
pip install progress1bar
ProgressBar(
total=None,
fill=None,
regex=None,
completed_message=None,
clear_alias=False,
show_prefix=True,
show_fraction=True,
show_percentage=True,
show_duration=False,
show_complete=True,
ticker=None,
use_color=True,
show_bar=True)
Documentation
total
- An integer for the total number of items the progress bar will show that need to be completed.
fill
- A dictionary whose key values are integers that dictate the number of leading zeros the progress bar should add to thetotal
andcompleted
values; this is optional and should be used to format the progress bar appearance. The supported key values aremax_total
andmax_completed
.
regex
- A dictionary whose key values are regular expressions fortotal
,count
andalias
. The regular expressions will be checked against the log messages intercepted from the executing function, if matched the value will be used to assign the attribute for the respective progress bar. Thetotal
andcount
key values are required, thealias
key value is optional.
completed_message
- A string to designate the message the progress bar should display when complete. Default is 'Processing complete'
clear_alias
- A boolean to designate if the progress bar should clear the alias when complete.
show_prefix
- A boolean to designate if the prefix ofProcessing
should be printed prefixing the progress bar.
show_fraction
- A boolean to designate if the fraction should be printed with the progress bar.
show_percentage
- A boolean to designate if the percentage should be printed with the progress bar.
show_duration
- A boolean to designate if the duration should be printed after progress bar execution.
show_complete
- A boolean to designate if the completed message is to be displayed upon progress bar completion.
ticker
- A integer representing unicode character to print as the progress bar ticker. Refer to unicode chart for values. Default is 9632 (black square ■).
use_color
- A boolean to designate if the progress bar should be displayed with color. Default isTrue
.
show_bar
- A boolean to designate if the progress bar tickers should be printed.
Attributes
count
- An integer attribute to increment that designates the current count. When count reaches total the progress bar will show complete.
alias
- A string attribute to set the alias of the progress bar.
Functions
reset()
Reset the progress bar so that it can be used again. It will maintain and show the number of times the progress bar has been used.
Various examples are included to demonstrate the progress1bar package. To run the examples, build the Docker image and run the Docker container using the instructions described in the Development section.
The ProgressBar
class is used to display function execution as a progress bar. Use it as a context manager, and simply set the .total
and .count
attributes accordingly. Here is an example:
import time
from progress1bar import ProgressBar
with ProgressBar(total=250) as pb:
for _ in range(pb.total):
pb.count += 1
# simulate work
time.sleep(.01)
Configure ProgressBar
to display an alias for the item that is currently being processed by setting the alias
parameter:
import time
from faker import Faker
from progress1bar import ProgressBar
kwargs = {
'total': 75,
'completed_message': 'Processed names complete',
'clear_alias': True,
'show_fraction': False,
'show_prefix': False,
'show_duration': True
}
with ProgressBar(**kwargs) as pb:
for _ in range(pb.total):
pb.alias = Faker().name()
# simulate work
time.sleep(.08)
pb.count += 1
Configure ProgressBar
to display an alias for the item that is currently being processed, but do not print out the ticker, instead show percentage and fraction complete:
from faker import Faker
from progress1bar import ProgressBar
kwargs = {
'total': 575,
'clear_alias': True,
'show_complete': False,
'show_prefix': False,
'show_duration': True,
'show_bar': False
}
with ProgressBar(**kwargs) as pb:
for _ in range(pb.total):
pb.alias = Faker().sentence()
# simulate work
pb.count += 1
Configure ProgressBar
with a custom ticker, show duration, do not use color, and use regular expressions to determine the total
, count
and alias
attributes:
import random
from faker import Faker
from progress1bar import ProgressBar
kwargs = {
'ticker': 9733,
'regex': {
'total': r'^processing total of (?P<value>\d+)$',
'count': r'^processed .*$',
'alias': r'^processor is (?P<value>.*)$'
},
'use_color': False,
'show_duration': False
}
with ProgressBar(**kwargs) as pb:
pb.match(f'processor is {Faker().name()}')
total = random.randint(500, 750)
pb.match(f'processing total of {total}')
for _ in range(total):
pb.match(f'processed {Faker().name()}')
Configure ProgressBar
to show and reuse progress for several iterations:
import random
import time
from faker import Faker
from progress1bar import ProgressBar
TOTAL_ITEMS = 300
ITERATIONS = 4
kwargs = {
'show_prefix': False,
'show_fraction': False,
'show_duration': True
}
print(f'Execute {ITERATIONS} iterations of varying totals:')
with ProgressBar(**kwargs) as pb:
iterations = 0
while True:
if iterations == ITERATIONS:
pb.alias = ''
pb.complete = True
break
pb.alias = Faker().name()
pb.total = random.randint(100, TOTAL_ITEMS)
for _ in range(pb.total):
Faker().name()
pb.count += 1
iterations += 1
pb.reset()
time.sleep(.4)
Clone the repository and ensure the latest version of Docker is installed on your development server.
Build the Docker image:
docker image build \
-t progress1bar:latest .
Run the Docker container:
docker container run \
--rm \
-it \
-v $PWD:/code \
progress1bar:latest \
bash
Execute the build:
pyb -X