- Extend Dataset model and schema to include optional database_identifier field
- Update dataset creation and deployment routes to handle new database_identifier parameter
- Modify dataset DDL generation to use database_identifier for schema resolution when available
- Add support for parsing Snowflake timestamp structs with epoch and fraction fields
- Implement handling of Snowflake timestamp logical types (with and without timezone)
- Enhance JSON value processing to detect and convert Snowflake timestamp objects
- Add error handling and logging for timestamp parsing
* xAxisTickinerval
* fix(visualization): Add x-axis time unit configuration for bar and combo charts
- Extend chart configuration to support optional x-axis time unit
- Update modify visualization agent to dynamically set x-axis time interval
- Modify bar line and combo chart prompts to include x_axis_time_unit parameter
* only use valid time units
* refactor(visualization): Simplify x-axis time unit configuration
- Modify modify_visualization_agent to extract and remove x-axis time unit more efficiently
- Update global styling result structure for x-axis time interval
- Adjust format_label_prompt comment to clarify date format default behavior
---------
Co-authored-by: Nate Kelley <nate@buster.so>
- Add new validation error types: ModelNotFound, InvalidRelationship, and ExpressionError
- Update deploy_v2.rs to categorize and handle these new error types
- Enhance error handling and reporting in dataset deployment process
- Restructure deploy_datasets function to separate concerns
- Improve column and relationship validation in dataset deployment
- Enhance error handling and validation result generation
- Add support for more comprehensive column and relationship checks
- Refactor validation logic to handle multiple error types
- Add support for capturing source type (table, view, materialized view)
- Improve column metadata queries for Postgres, MySQL, BigQuery, and Snowflake
- Include more comprehensive column information during dataset import
- Extend DatasetColumnRecord to include source_type field
- Add comprehensive column validation before dataset deployment
- Validate existence of all required columns in source database
- Simplify column type and nullability retrieval
- Enhance error reporting for missing columns
- Update deployment logic to use pre-validated column information
- Add detailed validation error logging in CLI
- Improve type compatibility checks in dataset validation
- Modify deployment process to handle and report validation errors more comprehensively
- Add Hash derive for Verification enum
- Update API and CLI to support more informative validation results
dal
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Nate Kelley
Nate Kelley