December 2025 monthly summary for taosdata/TDengine: Focused on stabilizing the test suite and ensuring API compatibility with the 3.0 database API. Delivered a dedicated feature to align tests with API changes and updated database metadata handling, improving test relevance and reducing flaky results. Updated CI expectations to reflect the actual database state and clarified test focus by renaming subquery-related tests. This work directly supports customers migrating to API 3.0 by providing reliable test feedback and faster validation cycles.

October 2025 monthly summary: Focused on improving test coverage and CI reliability for taosdata/TDengine by adding First/Last Element Selection tests. No major bug fixes this month; contributions center on QA and test automation. This work delivers business value by reducing regression risk and ensuring correct functionality for first/last element selection, enabling faster release cycles.

July 2025 (2025-07) delivered substantial improvements to TDengine's testing, validation, and infrastructure, focusing on expanding end-to-end coverage for streaming features and meters, stabilizing the test pipeline, and enabling broader vehicle-related validation. Key feature deliveries included SQL artifacts and test scaffolding to support end-to-end scenarios, expanded scene coverage, and foundational schema expansions that support scalable data models for streaming. The work strengthened CI reliability, reduced flaky tests, and accelerated validation of new streaming capabilities, enabling faster and more confident releases.

April 2025 — Focused on dependency hygiene and release integrity for taos-connector-python. Delivered a leaner package by removing the TDengine driver and TDengine.py, ensured versioning accuracy and release artifacts, and improved documentation and metadata to support reliable downstream usage. These changes reduce maintenance burden, minimize risk of outdated dependencies, and improve traceability across releases.

March 2025 performance summary: Delivered high-impact features and stability improvements across TDengine and taos-connector-python, delivering business value through enhanced analytics, safer password handling, and more reliable multi-database operations. Key features include batch query support for scalable analytics and a Native connection mode for TaOS, while password handling improvements extend usability and security. Notable reliability and quality work included fixes for multi-database/multi-super-table inserts, connection mode correctness, default port resolution, and build stability. The Python connector received a formal release with a CI/CD cache upgrade, strengthening release reliability and test coverage. These efforts collectively reduce operational risk, accelerate data workflows, and enable broader platform adoption.

Monthly summary for 2025-02 focusing on business value, key features delivered, major bug fixes, and overall impact across two repos: taosdata/taos-connector-python and taosdata/TDengine. Cumulative efforts improved CI/CD reliability, developer onboarding, cross-language packaging, and runtime stability. Highlights include CI workflow modernization and bilingual documentation in the Python connector, dev-tooling enhancements for Poetry with-dev, CI environment cleanup for reproducible builds, and packaging/run-shell improvements for Taos WS/taospy. Critical TDengine integration fixes and CLI/test harness improvements contributed to more robust data tooling and better test coverage. Deliverables span from build system tweaks and documentation to runtime fixes, test infrastructure, and release readiness for taos-ws-py 0.3.9. Key achievements for the month: - CI/CD and documentation enhancements in taos-connector-python: renamed CI workflow file from test-ubuntu-2204.yml to build.yml and aligned Build section; added README.md and README-CN.md across docs to ensure bilingual, up-to-date project docs. - Dev tooling and packaging improvements: Poetry with-dev compatibility enabled to support older environments, improving local reproduction and packaging reliability. - CI reliability and environment stabilization: removed unnecessary apt installs and restored essential build tools to ensure stable builds across CI runs. - TDengine and Taos WS packaging/run-shell reliability: fixed TDengine branch handling in integration flow; split taospy and taos-ws-py run shells; installed taos-ws-py; and released taos-ws-py v0.3.9. - Quality, test infrastructure, and coverage: updated codecov/coverage links and paths; adjusted test configurations to reflect correct test scopes (e.g., taospy test cases), enhanced test harness with added utilities and scripts, and improved logging and output handling for reliable test results. - Additional bug fixes with business impact: offset boundary handling, taos_print_row export compatibility, CSV export behavior, and taosCli robustness improvements, contributing to more predictable, safe data tooling and easier maintenance.

Month: 2025-01 | taosdata/taos-connector-python Overview: Completed release engineering and cross-platform stabilization for taos-ws-py, delivered targeted documentation enhancements, and hardened the test/CI surface. The work reduces time-to-release, minimizes platform-specific issues, and improves onboarding for new contributors, while ensuring compatibility with Python 3.10 and upstream Rust bindings. Key contributions focused on:Release preparation and tagging, cross-platform artifact handling, documentation and changelog improvements, dependency management, and CI/test environment hardening.

December 2024 focused on delivering core interoperability with Taos data in the taos-connector-python package, strengthening deployment reliability, and improving testing and CI/CD practices. Key features were integrated to enable richer analytics in Superset, while a broad array of stability fixes and packaging improvements reduced friction for downstream users and teams relying on automated deployments.