Tightly pinned versions in requirements

[AbdealiLoKo]

Hi, I was trying to use the project. But the tight pins on the requirements, seems to be hindering me from installing it in my virtualenv.

https://github.com/aplbrain/grand/blob/master/setup.py#L18

Can we reduce these constrains to >= so that it's clearer what the minimum requirements are ?

Some notes:

• I still need to support pandas 0.25
• Support for lower numpy versions like 1.11 is generally preferred as conda will use that by default
• SQLAlchemy 1.4 is what I'm using right now - but a bunch of folks are using 1.3 also. There are some backward incompatible changes between them
• network - I try to use the latest. But am open to trying older versions if needed

[AbdealiLoKo]

Oh, also - boto3 is prohibited for me as I am not allowed to use AWS resources for some of my projects
Sqlalchemy and boto3 should be extra dependencies maybe

[j6k4m8]

@AbdealiJK — thank you for reporting!

Yes, these package restrictions are a bit too tight, and I really should separate the "cloud" flavored requirements out into grand-graph[dynamodb] or something... this week is crazy busy for me but I'll try to find time later this week or next weekend to address this! In the meantime, if you happen to work out a working package requirement list, i'd appreciate it :)

To make this work, I think we'll need to both separate the install reqs into extra-deps, and then also make sure that we don't have any imports anywhere (including in auto-running unit tests...) that depend on them...

[j6k4m8]

@AbdealiJK — let me know if this solves your problem (v0.3.0 is now available)! Feel free to reopen or add a new issue!

[AbdealiLoKo]

Yes, I am able to install it without hacks now :) Thanks
I am still trying to figure out the SQL backend part, but haven't had much time in the past 2 weeks due to other things

My main objective there is:

• How do I get my existing database structure mapped to a graph
• How do I then enable caching in a smart way to avoid unnecessary DB queries as much as possible

Will get back once I get something successful running