chore(deps): bump jsonschema to "~4.17.3"

[aaronsteers]

Summary by CodeRabbit

• New Features

  • Updated the jsonschema dependency to a more recent version, enhancing compatibility with newer features.

• Bug Fixes

  • Adjustments made to dependencies to ensure better stability and performance, requiring further testing for compatibility.

[coderabbitai]

📝 Walkthrough

Walkthrough

The pull request primarily updates the pyproject.toml file, focusing on dependency management and versioning. The jsonschema dependency is upgraded from version ~3.2.0 to ~4.17.3, with a note on potential breaking changes in version 4.18. Additionally, the pydantic dependency is specified as ^2.7. Other dependencies and optional extras remain unchanged, and there are no modifications to the task definitions.

Changes

File	Change Summary
pyproject.toml	Updated jsonschema from ~3.2.0 to ~4.17.3; set pydantic to ^2.7; other dependencies unchanged.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant System
    participant DependencyManager

    User->>System: Request to update dependencies
    System->>DependencyManager: Check for updates
    DependencyManager-->>System: Found updates for jsonschema and pydantic
    System->>DependencyManager: Apply updates
    DependencyManager-->>System: Updates applied successfully
    System-->>User: Dependencies updated

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Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 1294b43 and bcb7b83.

⛔ Files ignored due to path filters (1)

• poetry.lock is excluded by !**/*.lock

📒 Files selected for processing (1)

• pyproject.toml (1 hunks)

🔇 Additional comments (3)

pyproject.toml (3)

43-43: Good catch on avoiding jsonschema 4.18+

The comment about avoiding 4.18 due to breaking changes is super helpful for future maintainers! 👍

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43-43: Consider the impact of jsonschema major version upgrade

Hey! I notice we're upgrading jsonschema from ~3.2.0 to ~4.17.3. While the comment about avoiding 4.18 is helpful, have we verified compatibility with the 3.x to 4.x upgrade? This is a major version bump that might introduce breaking changes.

Let's check for any direct jsonschema usage in the codebase:

Would it be worth adding a test specifically for jsonschema validation to ensure the upgrade doesn't affect existing functionality? I'd be happy to help craft one if you'd like!

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43-43: Consider documenting Pydantic v2 migration strategy

I see we're using Pydantic v2 (^2.7). Since Pydantic v2 includes significant breaking changes from v1, what do you think about:

1. Adding a comment similar to the jsonschema one to document any v2-specific considerations?
2. Ensuring we have test coverage for Pydantic usage?

Let's check our Pydantic usage:

Would it be helpful to add a section in the README about Pydantic v2 compatibility? wdyt? 🤔

Also applies to: 48-48

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[cbini]

Thanks @aaronsteers 🫡

This should allow me to install pyairbyte into my dagster/dbt project now!