chore: add TES data models

[JaeAeich]

Add TES models.

Summary by Sourcery

This pull request adds comprehensive TES data models to support the TES API, enabling task creation, execution, logging, and resource management functionalities.

• New Features:
  • Introduced TES data models for the TES API, including models for task creation, execution, logging, and resource management.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request introduces a new file models.py under tesk/api/ga4gh/tes/ which contains comprehensive data models for the TES API. These models are implemented using Pydantic and include detailed field definitions and descriptions. The models cover various aspects of the TES API such as task creation, execution, logging, resources, and service information.

File-Level Changes

Files	Changes
tesk/api/ga4gh/tes/models.py	Added comprehensive data models for TES API using Pydantic, including task definitions, logging, resources, and service information.

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[sourcery-ai]

Hey @JaeAeich - I've reviewed your changes and they look great!

Here's what I looked at during the review

• 🟡 General issues: 3 issues found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[uniqueg]

I think I agree with all of the Sourcery comments. Otherwise I think it's good.

The base branch was changed.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 98.21%. Comparing base (9a61083) to head (4bb1dba).
Report is 5 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #196   +/-   ##
=======================================
  Coverage   98.21%   98.21%           
=======================================
  Files           8        8           
  Lines         561      561           
=======================================
  Hits          551      551           
  Misses         10       10           

Flag	Coverage Δ
test_unit	98.21% <ø> (ø)

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[JaeAeich]

Changes:

• Ignored a bandit error, false positive.
• Change CI install because there is no such thing as pydantic types, and I need to install pydantic to make it pass mypy checks, so install main deps for mypy check as well with types.

@uniqueg please review/approve again.