datatype fix

[aditee-accenture]

Fixed a TypeScript build error caused by conflicting library versions in the project. Added type assertions to ensure the table components recognize the data correctly and allow the project to build.

The conflict occurs because React 18 types are "wider" (supporting features like BigInt) and are seen as incompatible with React 17's stricter definitions, which we have resolved using type assertions.

[gemini-code-assist]

Summary of Changes

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This pull request addresses TypeScript compilation warnings or errors by introducing explicit type castings to React.ReactNode for the return values of render methods within React table components. This ensures that the rendered content, whether headers or cells, conforms to the expected React type system, thereby improving the robustness and type safety of the codebase.

Highlights

• Type Casting in BigQuery Schema: Explicitly cast the return value of column.render('Header') to React.ReactNode in src/bigQuery/bigQuerySchema.tsx to ensure type compatibility for table headers.
• Cell Rendering Type Fix (BigQuery): Explicitly cast the return value of cell.render('Cell') to React.ReactNode in src/bigQuery/bigQuerySchema.tsx for consistent and correct type handling in table cell rendering.
• Type Casting in DPMS Schema: Applied the same React.ReactNode type casting for column.render('Header') in src/dpms/schemaInfo.tsx to resolve similar type issues in another schema component.
• Cell Rendering Type Fix (DPMS): Applied the same React.ReactNode type casting for cell.render('Cell') in src/dpms/schemaInfo.tsx to ensure proper type handling for cells in the DPMS schema component.

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[gemini-code-assist]

Code Review

The pull request introduces type assertions (as React.ReactNode) in react-table rendering logic within the BigQuerySchemaInfo and SchemaInfo components. While these changes likely resolve compilation errors, the explicit type assertion in BigQuerySchemaInfo might be redundant given react-table's typical type definitions for render methods. It's generally better to rely on type inference or ensure correct library type definitions to avoid unnecessary assertions, which can sometimes mask underlying type issues or reduce code clarity.