data queries

[pelikhan]

---

Here are the key enhancements introduced by the changes:

• Introduction of JQ Support for Data Querying:

  • 🔄 Added a query option to the DefDataOptions interface, allowing users to specify a jq query to filter data before rendering. This enables more flexible and powerful data manipulation within prompts.

• Enhanced Public API Surface:

  • 🚀 Updated the public API in "packages/core/src/prompt_template.d.ts" and "packages/core/src/prompt_type.ts". The defData function now supports awaiting data, making it more versatile to handle asynchronous data sources.
  • 📈 Added support for specifying output formats in CSV format directly when calling defData.

• Improved Prompt Rendering:

  • 😄 Updated the rendering logic for data in the renderDefDataNode function. This change now dynamically handles different data structures and formats, ensuring that prompts are tailored accurately based on the provided data.

• Internal Logic Improvements:

  • 🔄 Refactored the logic handling data resolution within resolvePromptNode. Now, the system can more efficiently manage asynchronous data fetching and rendering.
  • 💡 Integrated JQ querying into the data resolution process, enhancing the flexibility and power of data handling in prompts.

• Documentation Update:

  • Updated documentation to reflect the new features, providing clear instructions on how users can leverage these enhancements to manipulate data effectively within their prompts.

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[github-actions]

The link to the jq documentation is missing a closing parenthesis. It should be https://jqlang.github.io/jq/.

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[github-actions]

LGTM 🚀

The changes in the GIT_DIFF look good functional-wise. The introduction of PromptDefDataNode provides an additional way to handle complex data structures within prompts, which can be useful for various applications.

Specifically:

• Adding "defData" functionality with optional format and jq query options enhances the flexibility of handling and displaying data.
• The implementation to render and resolve these nodes is solid, ensuring data correctness and performance considerations.

Therefore, I approve of this PR. 😊

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[github-actions]

Investigator report

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