Consider a Sessions.py File

[lawrence175]

I have added this sessions.py branch file is good for having personalized conversations with each user. For instance you have to generate your own session Id some how and track them.

According to my analysis,I found out that saving the brain file does not save all the session values.

Therefore,I would kindly request you to review or go through it and let me know @hj91

[hj91]

That is good. Can we make it more scalable!?

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--sent from mobile device--

On 20-Aug-2017 9:27 PM, "lawrence_cyber" ***@***.***> wrote: I have added this sessions.py <https://github.com/lawrence175/PyAIML-XMPP-Chat-Bot/blob/sessions/Sessions.py> branch file is good for having personalized conversations with each user. For instance you have to generate your own session Id some how and track them. According to my analysis,I found out that saving the brain file does not save all the session values. Therefore,I would kindly request you to review or go through it and let me know @hj91 <https://github.com/hj91> ------------------------------ You can view, comment on, or merge this pull request online at: #2 Commit Summary - Sessions.py File Changes - *A* Sessions.py <https://github.com/hj91/PyAIML-XMPP-Chat-Bot/pull/2/files#diff-0> (68) Patch Links: - https://github.com/hj91/PyAIML-XMPP-Chat-Bot/pull/2.patch - https://github.com/hj91/PyAIML-XMPP-Chat-Bot/pull/2.diff — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#2>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAYMOPY6PVV5D5QFNZEXVZ0U7fG3euPUks5saFdUgaJpZM4O8pyZ> .

[lawrence175]

That's alright,i will be letting you know where i have reached.
Am trying to measure the efficiency which is a key component of scalability; for instance the
average response time per response and number of aiml files processed or loaded per second/minute.
what do you think about @hj91
I would like to hear from you.

[hj91]

Will need to check it when Interfaced with xmpp. The aiml files get loaded in approx 10 seconds when running on regular desktop. Usually, for 10 users, I couldnt notice substantial delay except for xmpp network latency, which was few milliseconds.

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--sent from mobile device-- On 20-Aug-2017 9:56 PM, "lawrence_cyber" <notifications@github.com> wrote: That's alright,i will be letting you know where i have reached. Am trying to measure the efficiency which is a key component of scalability; for instance the average response time per response and number of aiml files processed or loaded per second/minute. what do you think about it? I would like to hear from you. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#2 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAYMOBFXPoZuBUabQKIQn77uNnB6N4dLks5saF4pgaJpZM4O8pyZ> .

[lawrence175]

Alright then.