RELEASE: 0.12.0 (#262)

### Work Item / Issue Reference <!-- IMPORTANT: Please follow the PR template guidelines below. For mssql-python maintainers: Insert your ADO Work Item ID below (e.g. AB#37452) For external contributors: Insert Github Issue number below (e.g. #149) Only one reference is required - either GitHub issue OR ADO Work Item. --> <!-- mssql-python maintainers: ADO Work Item --> > [AB#38881](https://sqlclientdrivers.visualstudio.com/c6d89619-62de-46a0-8b46-70b92a84d85e/_workitems/edit/38881) ------------------------------------------------------------------- ### Summary <!-- Insert your summary of changes below. Minimum 10 characters required. --> This pull request updates the project to version 0.12.0 and revises the release notes to reflect new features and improvements. The most significant changes are the addition of support for new SQL Server data types, enhancements to financial data handling, improvements to development infrastructure, and optimizations to metadata APIs and data processing. Version and Release Notes Update: * Updated the project version from `0.11.0` to `0.12.0` in `setup.py`. * Revised the "What's new" section in `PyPI_Description.md` to: - Add support for `DATETIMEOFFSET` and `UNIQUEIDENTIFIER` types, with integration for Python's `datetime` and `uuid.UUID`. - Extend `MONEY` and `SMALLMONEY` support to `executemany`, improving bulk financial data processing. - Implement unified Python and C++ code coverage, CodeQL analysis, and enhanced PR automation. - Refactor the `getinfo()` metadata API for improved reliability and expanded constant exposure. - Optimize data processing by removing aggressive datetime parsing for better data integrity.

Author: bewithgaurav

PyPI_Description.md

@@ -39,15 +39,12 @@ PyBind11 provides:
 
 We are currently in **Public Preview**.
 
-## What's new in v0.11.0
-
-- **Database Metadata & Introspection:** Added comprehensive `getInfo()` method and extensive catalog APIs (`SQLGetTypeInfo`, `SQLProcedures`, `SQLForeignKeys`, `SQLColumns`) for complete database schema discovery and introspection capabilities.
-- **Advanced Parameter Management:** Implemented `setinputsizes()` with SQL type constants and enhanced parameter validation through the `SQLTypes` class for precise type control in parameterized queries.
-- **Large Data Streaming Enhancements:** Extended streaming support to VARBINARY(MAX) and VARCHAR(MAX) across all fetch operations (`fetchone`, `fetchmany`, `fetchall`) with improved chunked retrieval for efficient memory usage.
-- **Output Data Conversion System:** Introduced flexible output converter framework with `add_output_converter()`, `remove_output_converter()`, and related methods for customizable data transformations during result fetching.
-- **Connection-Level Execute:** Added direct `execute()` method to Connection class for streamlined query execution without explicit cursor management.
-- **Financial Data Type Support:** Comprehensive support for SQL Server MONEY and SMALLMONEY types with proper boundary value handling and decimal precision.
-- **Enhanced Configuration APIs:** Added connection timeout control, decimal separator configuration (`getDecimalSeperator()`, `setDecimalSeperator()`), and improved global variable management.
+## What's new in v0.12.0
+
+- **Complex Data Type Support:** Added native support for DATETIMEOFFSET and UNIQUEIDENTIFIER data types with full round-trip handling, enabling seamless integration with Python's timezone-aware `datetime` objects and `uuid.UUID` types.
+- **Support for monetary or currency values data types:** Extended MONEY and SMALLMONEY support to `executemany` operations with proper NULL handling and decimal conversion for improved bulk financial data processing.
+- **Improved Database Metadata API:** Added `getinfo()` method with enhanced ODBC metadata retrieval, allowing users to query driver/data source information using ODBC info types.
+- **Data Processing Optimizations:** Removed aggressive datetime parsing to prevent incorrect type conversions and improve data integrity across diverse datetime formats and string data.
 
 For more information, please visit the project link on Github: https://github.com/microsoft/mssql-python
 

setup.py

@@ -83,7 +83,7 @@ def finalize_options(self):
 
 setup(
  name='mssql-python',
- version='0.11.0',
+ version='0.12.0',
  description='A Python library for interacting with Microsoft SQL Server',
  long_description=open('PyPI_Description.md', encoding='utf-8').read(),
  long_description_content_type='text/markdown',