LianjiaTech/bella-domify
May 2025 – Sep 2025
3 Months active
Languages Used
Python
Technical Skills
API DevelopmentBackend DevelopmentCloud ServicesCode CleanupCode RefactoringCode Review
tangxiaolong
PROFILE
Tangxiaolong
Worked on LianjiaTech/bella-domify to deliver a secure, scalable document parsing and file processing pipeline using Python and FastAPI. Developed a unified parsing API with per-type caching, expanded parser support to include docx, and implemented DOCX to PDF conversion integrated into the worker-listener architecture. Focused on backend development, the work included security hardening with token validation and user header enforcement, as well as extensive codebase cleanup, refactoring, and dependency management. Improved system reliability by restructuring HTTP worker lifecycles, enforcing safe Kafka consumer initialization, and increasing concurrency, resulting in faster, more robust document workflows and maintainable backend infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
4
Lines of code
1,919
Activity Months3
Your Network
45 peopleSame Organization
@ke.com27
陈宏亮(23110595)Member
chenjiakai004Member
chenzhenhua016Member
fanqiangwei002Member
Liang FengMember
何广(31237002)Member
黄利(28926177)Member
jiand.yuan001Member
keones-gitMember
Shared Repositories
18
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for LianjiaTech/bella-domify focused on delivering new file-processing capability and reinforcing the architecture for scalable document handling.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for LianjiaTech/bella-domify focused on delivering new file-processing capability and reinforcing the architecture for scalable document handling.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Month 2025-08: Strengthened system reliability and scalability by restructuring HTTP worker lifecycle and enforcing safe Kafka consumer initialization. Implemented main-worker controlled Kafka startup, enhanced thread monitoring, and auto-restart for background parsing tasks. Increased HTTP process count to improve concurrency and reduce latency. Result: fewer duplicate messages, lower downtime, and faster throughput for end users.
August 2025
1 Commits • 1 Features
Aug 1, 2025Month 2025-08: Strengthened system reliability and scalability by restructuring HTTP worker lifecycle and enforcing safe Kafka consumer initialization. Implemented main-worker controlled Kafka startup, enhanced thread monitoring, and auto-restart for background parsing tasks. Increased HTTP process count to improve concurrency and reduce latency. Result: fewer duplicate messages, lower downtime, and faster throughput for end users.
May 2025
12 Commits • 2 Features
May 1, 2025May 2025 accomplishments for LianjiaTech/bella-domify focused on delivering a secure, scalable document parsing pipeline and performing extensive codebase maintenance. Key features delivered include a unified parsing API (parse_doc) with per-type caches, security hardening, and expanded parser support (including docx). Major maintenance activities included code cleanup, refactors, dependency updates, and clearer module structure to improve readability and maintainability. Major bugs fixed include parsing cache reliability improvements and removal of dead/unused code, along with strengthened input validation and user header enforcement. Overall impact includes improved security, reliability, and performance of the parsing service, broader document-type support, and enhanced developer velocity. Technologies/skills demonstrated include API design and architecture, caching strategies, security controls (AK checks, token validation), input validation, and extensive refactoring and dependency management.
12 Commits • 2 Features
May 1, 2025May 2025 accomplishments for LianjiaTech/bella-domify focused on delivering a secure, scalable document parsing pipeline and performing extensive codebase maintenance. Key features delivered include a unified parsing API (parse_doc) with per-type caches, security hardening, and expanded parser support (including docx). Major maintenance activities included code cleanup, refactors, dependency updates, and clearer module structure to improve readability and maintainability. Major bugs fixed include parsing cache reliability improvements and removal of dead/unused code, along with strengthened input validation and user header enforcement. Overall impact includes improved security, reliability, and performance of the parsing service, broader document-type support, and enhanced developer velocity. Technologies/skills demonstrated include API design and architecture, caching strategies, security controls (AK checks, token validation), input validation, and extensive refactoring and dependency management.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability85.8%
Architecture80.0%
Performance73.0%
AI Usage21.4%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCloud ServicesCode CleanupCode RefactoringCode ReviewConcurrencyConfiguration ManagementData ProcessingDependency ManagementFastAPIFile ManagementFile ProcessingLibrary Maintenance
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline