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Context package to use data between function calls, use timers and log it.
For example you want have some decision point in your code::
from pyctx.context import Context
ctx = Context('APP')
x = 100
y = (x + 1) * (x - 1)
ctx.log.set_data('isEven', y % 2)
ctx.log.set_data('y', y)
ctx.log.start_timer('timer1')
import time
time.sleep(1)
ctx.log.stop_timer('timer1')
with ctx.log.timeit('timer2_context_manager'):
time.sleep(5)
ctx.finalize()
# {'type': 'APP', 'ctxId': '0fdecfe0-067e-4bdd-9920-3b7ed46d8a98', 'startTime': '2019-08-06 09:42:31.222184', 'endTime': '2019-08-06 09:42:37.236861', 'data': {'isEven': 1, 'y': 9999}, 'timers': {'timer1': 1.00633, 'timer2_context_manager': 5.002412}}
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Context package to use data between function calls, use timers and log it.
We found that pyctx demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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