I tried by executing below code and it took 30 sec to extract the details. Kindly guid

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Extremely slow library about python-duckling HOT 1 CLOSED

harshitazilen commented on May 31, 2024

Extremely slow library

from python-duckling.

Comments (1)

FraBle commented on May 31, 2024

Hi @harshitazilen,
The biggest portion of the 30 seconds is spent on loading Duckling itself. It has to spin up a JVM and load all Clojure/Java dependencies. The parsing itself is quite fast.
I wrote the following code for illustration:

import time

import_start = time.time()
import duckling
import_end = time.time()
print(f'Time used for import in sec: {import_end - import_start}')

load_start = time.time()
d = duckling.DucklingWrapper()
load_end = time.time()
print(f'Time used for loading Duckling in sec: {load_end - load_start}')

parsing_1_start = time.time()
print(d.parse_time('connect today'))
parsing_1_end = time.time()
print(f'Time used for first parsing in sec: {parsing_1_end - parsing_1_start}')

parsing_2_start = time.time()
print(d.parse_time('connect tomorrow'))
parsing_2_end = time.time()
print(f'Time used for parsing in sec: {parsing_2_end - parsing_2_start}')

On my MacBook Pro (13-inch, 2017, 2.3 GHz Intel Core i5, 16 GB RAM, macOS High Sierra 10.13.5) it results in the following output:

Time used for import in sec: 0.09013700485229492
Time used for loading Duckling in sec: 22.348287105560303
[{'dim': 'time', 'text': 'today', 'start': 8, 'end': 13, 'value': {'value': '2018-06-24T00:00:00.000-07:00', 'grain': 'day', 'others': [{'grain': 'day', 'value': '2018-06-24T00:00:00.000-07:00'}]}}]
Time used for first parsing in sec: 0.04622793197631836
[{'dim': 'time', 'text': 'tomorrow', 'start': 8, 'end': 16, 'value': {'value': '2018-06-25T00:00:00.000-07:00', 'grain': 'day', 'others': [{'grain': 'day', 'value': '2018-06-25T00:00:00.000-07:00'}]}}]
Time used for parsing in sec: 0.0044591426849365234

You can see, that it needs 22.3 sec for loading Duckling itself, but the parsing is sub-second.

from python-duckling.

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