Cleanup dockerfiles, remove duplicates, upgrade PDM

[spwoodcock]

What type of PR is this? (check all applicable)

• 🍕 Feature
• 🐛 Bug Fix
• 📝 Documentation
• 🧑‍💻 Refactor
• ✅ Test
• 🤖 Build or CI
• ❓ Other (please specify)

Related Issue

Fixes #6552

Describe this PR

• Removes dup / redundant dockerfiles.
• Upgrades PDM and debugpy to latest.
• Removes hardcoded --workers flag for Gunicorn (can be set by WEB_CONCURRENCY env var instead).
• Re-locks dependencies after PDM version upgrade using inherit_metadata strategy (required PDM > 2.15).

Review Guide

Notes for the reviewer. How to test this change?

Checklist before requesting a review

• 📖 Read the Tasking Manager Contributing Guide: https://github.com/hotosm/tasking-manager/blob/develop/docs/developers/contributing.md
• 📖 Read the HOT Code of Conduct: https://docs.hotosm.org/code-of-conduct
• 👷‍♀️ Create small PRs. In most cases, this will be possible.
• ✅ Provide tests for your changes.
• 📝 Use descriptive commit messages.
• 📗 Update any related documentation and include any relevant screenshots.
• 🔠 Does this PR introduce or change any environment variables? If so, make sure to specify this change in the description.

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[sonarqubecloud]

Quality Gate passed

Issues
1 New issue
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarCloud

[mahesh-naxa]

@dakotabenjamin i just verified this, can be merged.

[dakotabenjamin]

Errors after merging, which weren't caught because they are in server instantiation:

+ sudo apt-get -q -y install libgeos-3.9.0 libgeos-dev
Reading package lists...
Building dependency tree...
Reading state information...
E: Unable to locate package libgeos-3.9.0
E: Couldn't find any package by glob 'libgeos-3.9.0'
E: Couldn't find any package by regex 'libgeos-3.9.0'
+ sudo apt-get -q -y install libproj19 libproj-dev
Reading package lists...
Building dependency tree...
Reading state information...
E: Unable to locate package libproj19

In addition, a slew of errors compiling sklearn during pip install.
edit: and a warning that might be related:

/tmp/pip-build-env-ao16q_16/overlay/lib/python3.8/site-packages/scipy/__init__.py:143: UserWarning: A NumPy version >=1.19.5 and <1.27.0 is required for this version of SciPy (detected version 1.17.3)
      warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"

[spwoodcock]

Any way we can test the Cloudformation (I assume) stuff locally?

It's a bit baffling how the libgeos install would have broken when this PR updates dockerfiles 😯

The second issue around the numpy version can be fixed by pinning the numpy version explicitly (if sklearn requires this)

[mahesh-naxa]

@spwoodcock We can use https://www.localstack.cloud/ to run the EC2 instance with the defined user-data scripts locally, but i am not sure if it supports the AMI we are using. Let me check.
Otherwise i will spin up a EC2 in the AWS to validate everything.