16 natural language to sql#40
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…ith schema parsing, intent classification, and validation pipeline
…nthetic data generation
…normalization and ENUM support
…hema preview components - Added `SchemaUploader` component for loading database schemas from files or pasted DDL. - Introduced `SchemaPreview` component to display loaded schema details. - Created `QueryBuilder` component for generating SQL from natural language and testing queries in a sandbox. - Implemented a lightweight DDL parser in `parser.ts` to extract table and column definitions. - Updated `page.tsx` to integrate new components and manage execution states. - Defined local types for schema and execution states in `types.ts`.
…ic_data - Updated the _mock_value function in sandbox_manager.py to return a boolean value for boolean types instead of an integer. - Updated the _mock_value function in synthetic_data.py to return a boolean value for boolean types instead of an integer. - Removed the sql_sandbox.py file as it is no longer needed.
… to prevent disk space accumulation
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- Reorganized imports for better readability in parser.ts and result-parser.ts. - Refactored parseDDL function to utilize matchAll for table regex matching, enhancing performance and clarity. - Simplified comment stripping in parseDDL by chaining replace calls. - Updated execution state management in SqlConverterPage to improve clarity and maintainability. - Enhanced type definitions in types.ts for better code consistency. - Improved formatting and indentation across multiple files for better readability.
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Oxtools Submission
Project name: [natural language to sql]
Contributor: [@Franci-343]
What does this tool do?
natural language to sql is a multi-agent tool that translates natural language queries into dialect-correct SQL, validates the generated code, and executes it inside isolated sandbox databases.
The tool leverages the Oxlo.ai API (
api.oxlo.ai/v1/chat/completions) to orchestrate multiple specialized LLM agents: deepseek-v3.2 for intent classification (extracting table targets, filters, joins, and complexity from natural language), qwen-3-coder-30b for standard SQL generation and refinement, and deepseek-r1-0528 for complex analytical queries that require deeper reasoning.Submission checklist
Structure
projects/[my-project-name]/Required files
Dockerfileis present anddocker build .succeedsdocker-compose.ymlis present anddocker compose upstarts the appoxlo-manifest.jsonis present and all fields are filled in.env.examplelists every environment variable the project needs (with empty values)README.mdis present with setup instructions a reviewer can follow exactlySecurity
.envfile is not included in this PRgit grep -i "api_key"and found no leaksOxlo API
OXLO_API_KEYenvironment variableFor maintainers
docker build .succeeded locallydocker compose upran successfully and app is reachable