44 45 dependency update

[evaneill]

This is a minor version increment to:

• Update to pandas≥2.2.0 dependency
• Update to sqlalchemy≥2.0.0 dependency, based on minimum pandas2.2.0 requirement
• Update to openpyxl≥3.1.2 dependency, based on the minimum pandas2.2.0 requirement that will allow to_python to work as written here

The idea is that this new version of adapter can be used to test pandas≥2.2.0 compatibility updates to our tools, which can "jump" to this newer version after having updated relevant code to accommodate pandas≥2.2.0.

I tested this in a brand new environment by just installing dependencies as listed here and the tests still pass. I did have to deal with a tkinter issue (resolved here, completely outside of python dependencies controllable in this repo)

This PR would take precedence over this one from last year, just because it's updating all the dependencies together

[0xd5dc]

INFO: pip is looking at multiple versions of adapterio to determine which version is compatible with other requirements. This could take a while.
ERROR: Ignored the following versions that require a different python version: 2.1.0 Requires-Python >=3.9; 2.1.0rc0 Requires-Python >=3.9; 2.1.1 Requires-Python >=3.9; 2.1.2 Requires-Python >=3.9; 2.1.3 Requires-Python >=3.9; 2.1.4 Requires-Python >=3.9; 2.2.0 Requires-Python >=3.9; 2.2.0rc0 Requires-Python >=
3.9; 2.2.1 Requires-Python >=3.9; 2.2.2 Requires-Python >=3.9
ERROR: Could not find a version that satisfies the requirement pandas>=2.2.0 (from adapterio) (from versions: 0.1, 0.2, 0.3.0, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.5.0, 0.6.0, 0.6.1, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.8.0, 0.8.1, 0.9.0, 0.9.1, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 
0.15.2, 0.16.0, 0.16.1, 0.16.2, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 0.19.2, 0.20.0, 0.20.1, 0.20.2, 0.20.3, 0.21.0, 0.21.1, 0.22.0, 0.23.0, 0.23.1, 0.23.2, 0.23.3, 0.23.4, 0.24.0, 0.24.1, 0.24.2, 0.25.0, 0.25.1, 0.25.2, 0.25.3, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.
1.4, 1.1.5, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.4.0rc0, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.5.0rc0, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 2.0.0rc0, 2.0.0rc1, 2.0.0, 2.0.1, 2.0.2, 2.0.3)
ERROR: No matching distribution found for pandas>=2.2.0

I got this error when I tried to install this branch as I used Python 3.8. Do we use Python 3.9 for generic tools?

[evaneill]

INFO: pip is looking at multiple versions of adapterio to determine which version is compatible with other requirements. This could take a while.
ERROR: Ignored the following versions that require a different python version: 2.1.0 Requires-Python >=3.9; 2.1.0rc0 Requires-Python >=3.9; 2.1.1 Requires-Python >=3.9; 2.1.2 Requires-Python >=3.9; 2.1.3 Requires-Python >=3.9; 2.1.4 Requires-Python >=3.9; 2.2.0 Requires-Python >=3.9; 2.2.0rc0 Requires-Python >=
3.9; 2.2.1 Requires-Python >=3.9; 2.2.2 Requires-Python >=3.9
ERROR: Could not find a version that satisfies the requirement pandas>=2.2.0 (from adapterio) (from versions: 0.1, 0.2, 0.3.0, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.5.0, 0.6.0, 0.6.1, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.8.0, 0.8.1, 0.9.0, 0.9.1, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 
0.15.2, 0.16.0, 0.16.1, 0.16.2, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 0.19.2, 0.20.0, 0.20.1, 0.20.2, 0.20.3, 0.21.0, 0.21.1, 0.22.0, 0.23.0, 0.23.1, 0.23.2, 0.23.3, 0.23.4, 0.24.0, 0.24.1, 0.24.2, 0.25.0, 0.25.1, 0.25.2, 0.25.3, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.
1.4, 1.1.5, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.4.0rc0, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.5.0rc0, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 2.0.0rc0, 2.0.0rc1, 2.0.0, 2.0.1, 2.0.2, 2.0.3)
ERROR: No matching distribution found for pandas>=2.2.0

I got this error when I tried to install this branch as I used Python 3.8. Do we use Python 3.9 for generic tools?

I hadn't thought of this, the environment I was testing in was 3.9. Python 3.8 is about to become completely unsupported in a few months so maybe this is a chance to require at least python 3.9 as well?

Since we're already expecting generic tools to have to update to accommodate newer pandas, maybe it makes sense to expect them to accommodate newer python too. Let me know what you think

[0xd5dc]

INFO: pip is looking at multiple versions of adapterio to determine which version is compatible with other requirements. This could take a while.
ERROR: Ignored the following versions that require a different python version: 2.1.0 Requires-Python >=3.9; 2.1.0rc0 Requires-Python >=3.9; 2.1.1 Requires-Python >=3.9; 2.1.2 Requires-Python >=3.9; 2.1.3 Requires-Python >=3.9; 2.1.4 Requires-Python >=3.9; 2.2.0 Requires-Python >=3.9; 2.2.0rc0 Requires-Python >=
3.9; 2.2.1 Requires-Python >=3.9; 2.2.2 Requires-Python >=3.9
ERROR: Could not find a version that satisfies the requirement pandas>=2.2.0 (from adapterio) (from versions: 0.1, 0.2, 0.3.0, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.5.0, 0.6.0, 0.6.1, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.8.0, 0.8.1, 0.9.0, 0.9.1, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 
0.15.2, 0.16.0, 0.16.1, 0.16.2, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 0.19.2, 0.20.0, 0.20.1, 0.20.2, 0.20.3, 0.21.0, 0.21.1, 0.22.0, 0.23.0, 0.23.1, 0.23.2, 0.23.3, 0.23.4, 0.24.0, 0.24.1, 0.24.2, 0.25.0, 0.25.1, 0.25.2, 0.25.3, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.
1.4, 1.1.5, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.4.0rc0, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.5.0rc0, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 2.0.0rc0, 2.0.0rc1, 2.0.0, 2.0.1, 2.0.2, 2.0.3)
ERROR: No matching distribution found for pandas>=2.2.0

I got this error when I tried to install this branch as I used Python 3.8. Do we use Python 3.9 for generic tools?

I hadn't thought of this, the environment I was testing in was 3.9. Python 3.8 is about to become completely unsupported in a few months so maybe this is a chance to require at least python 3.9 as well?

Since we're already expecting generic tools to have to update to accommodate newer pandas, maybe it makes sense to expect them to accommodate newer python too. Let me know what you think

I tested it in Python 3.9, encountered a few issues, and am currently fixing them for one of the generic tools. I agree with you on upgrading to Python 3.9, and Milica also thinks it's better to upgrade before 3.8 is deprecated.