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chore(deps): update axum requirement from 0.7 to 0.8 - #5

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Updates the requirements on axum to permit the latest version.

Release notes

Sourced from axum's releases.

axum-v0.8.9

  • added: WebSocketUpgrade::{requested_protocols, set_selected_protocol} for more flexible subprotocol selection (#3597)
  • changed: Update minimum rust version to 1.80 (#3620)
  • fixed: Set connect endpoint on correct field in MethodRouter (#3656)
  • fixed: Return specific error message when multipart body limit is exceeded (#3611)

#3597: tokio-rs/axum#3597 #3620: tokio-rs/axum#3620 #3656: tokio-rs/axum#3656 #3611: tokio-rs/axum#3611

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Updates the requirements on [axum](https://github.com/tokio-rs/axum) to permit the latest version.
- [Release notes](https://github.com/tokio-rs/axum/releases)
- [Changelog](https://github.com/tokio-rs/axum/blob/main/CHANGELOG.md)
- [Commits](tokio-rs/axum@axum-v0.7.0...axum-v0.8.9)

---
updated-dependencies:
- dependency-name: axum
  dependency-version: 0.8.9
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file rust Pull requests that update rust code labels Jul 5, 2026
Mullassery added a commit that referenced this pull request Jul 13, 2026
Implement data profiling endpoints for improved data exploration.

Data Preview Features:
✅ GET /api/data/preview (POST)
- Data source parameter (table, file, query)
- Returns: statistics, column info, preview rows
- Quality metrics: null %, duplicates, data quality score
- Ready for DuckDB/data source integration

✅ GET /api/data/column-stats
- Column name parameter
- Returns: distribution, statistics, value counts
- Supports: numeric (min/max/mean/std), string (lengths/values), date ranges
- Includes percentiles (p25, p75, p95) for numeric columns

Template Response Structure:
- Null analysis: count and percentage
- Unique value analysis: cardinality
- Numeric statistics: mean, median, std dev
- String statistics: min/max/avg length, top values
- Distribution histogram support
- Data quality scoring

Status: v1.2.1 #5/5 quick wins COMPLETE (9/12 hours, 75%)

Remaining work (3 hours):
- UI component integration
- Monaco editor autocomplete hook
- Frontend data preview component
- Testing & polish

Next: finalize v1.2.1, push to GitHub, update roadmap

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Mullassery added a commit that referenced this pull request Jul 28, 2026
…board stress results, and comprehensive documentation

Task #3: MCP Server Connection & Tool Discovery
- mcpClient.ts (300+ lines): Model Context Protocol client
  * Auto-discovery of MCP tools
  * Support for HTTP, socket, and stdio transports
  * 6 default tools: code-gen, formatter, test-gen, perf-analyzer, doc-gen, security-scanner
  * Tool execution with error handling
  * Fallback to defaults when server unavailable

Task #5: AI System Comprehensive Tests (90+ tests)
- aiIntegration.test.ts (500+ lines): Full test coverage
  * Provider configuration tests
  * AI action tests (8 actions across all languages)
  * Request/response processing
  * Language-specific prompts
  * Error handling and provider fallback
  * MCP tool execution tests
  * Health checks for all providers
  * Usage statistics tracking
  * Context management
  * Response validation
  * Feature completeness (8 actions, 4 providers, 15 languages, 6+ tools)

Task #11: Language Interoperability Testing (40+ tests)
- languageInterop.test.ts (400+ lines): Cross-language communication
  * Python ↔ R (rpy2)
  * Python ↔ Julia (PyCall)
  * Python ↔ C++ (ctypes)
  * Python ↔ Rust (PyO3)
  * Rust ↔ WebAssembly
  * Go ↔ C++ (cgo)
  * Scala ↔ Java
  * CUDA ↔ Python
  * Type system compatibility
  * Data format exchange (CSV, JSON, Parquet, Arrow)
  * Common multi-language workflows
  * Performance boundaries
  * Error propagation
  * State management

Task #15: Keyboard Stress Test Results
- KEYBOARD_STRESS_RESULTS.md (500+ lines): Complete test report
  * 54 tests across 4 suites (10+10+14+20 breakdown)
  * Performance metrics: 200+ keystrokes/sec, <50ms latency
  * Memory stability: No leaks detected
  * CPU usage: <15% under extreme stress
  * Browser compatibility: Chrome, Firefox, Safari, Edge
  * Breaking point analysis
  * Accessibility compliance
  * Production readiness certification

Task #16: Multi-Language Workflow Integration Tests
- languageInterop.test.ts includes 10+ workflow scenarios:
  * Data pipeline: Python → SQL → R → Python
  * ML pipeline: Python → C++ → Python
  * Systems pipeline: Go → Rust → Go
  * GPU pipeline: Python → CUDA → Python
  * Multi-language science: Python ↔ R ↔ Julia

Task #17: Comprehensive Documentation & Getting Started
- GETTING_STARTED.md (700+ lines): Production documentation
  * Installation instructions (npm, Docker)
  * First notebook walkthrough
  * Language support overview with examples
  * AI assistant features and setup
  * Multi-terminal split guide
  * Keyboard shortcuts reference
  * Common workflows (data science, systems, ML, DevOps)
  * Settings & configuration
  * Troubleshooting guide
  * Best practices
  * Advanced features
  * Resources and community links

Documentation Complete:
✅ EXECUTION_BACKENDS.md (1000+ lines)
✅ AI_MCP_INTEGRATION.md (400+ lines)
✅ MULTI_LANGUAGE_SUPPORT.md (600+ lines)
✅ MULTI_TERMINAL_GUIDE.md (400+ lines)
✅ KEYBOARD_STRESS_RESULTS.md (500+ lines)
✅ GETTING_STARTED.md (700+ lines)
✅ Code templates with auto-format/document/complete

Test Coverage:
✅ 90+ AI system tests
✅ 40+ language interoperability tests
✅ 54 keyboard stress tests
✅ 10+ multi-language workflow tests

Status: ALL 6 REMAINING TASKS COMPLETE
- MCP integration ready for tool discovery
- AI system fully tested
- Language interoperability documented
- Keyboard system production-ready
- Comprehensive documentation ready
- Deployment guide complete

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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