Automatic Translation Code Generation for Data Format Adaptation
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Solution Overview
Problem
In heterogeneous data management systems, manual hard coding of conversion routines for data format changes is costly, inflexible, and labor-intensive, often resulting in unnecessary data transfer and bandwidth consumption.
Innovation Solution
A system where the server automatically generates translation code based on the client's data model, allowing for dynamic conversion of data into the required format, reducing manual re-coding and enabling quick adaptation to changes in data formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual hard coding of conversion routines is used, then data format conversion can be achieved, but it is costly, inflexible, and labor intensive
Solution Approach 1:
The system enables automatic self-generation of translation code through template-based mechanisms. When a client connects, the server automatically generates the necessary translation code by matching the client's data format requirements with available templates, eliminating the need for manual hard coding and significantly reducing implementation time and labor costs
Solution Approach 2:
Translation templates are pre-prepared and stored in the server before actual data conversion is needed. These templates contain pre-defined conversion logic for common data format transformations, allowing the system to quickly generate translation code by selecting and instantiating appropriate templates rather than creating conversion routines from scratch each time
2Adaptability or versatility
If more data is provided to the client than necessary, then all possible data needs are covered, but bandwidth is consumed and unnecessary traffic is produced
Solution Approach 1:
The server generates translation code tailored to each specific client's data format requirements and needs. Rather than providing all possible data formats universally, the system customizes the translation logic for each client connection, ensuring that only the specific data formats and structures needed by that particular client are generated and transmitted, thus optimizing bandwidth usage
3Adaptability or versatility
If manual re-coding is performed when data formats change, then the conversion routine can be updated, but time is needed and coding errors may occur
Solution Approach 1:
When a client's data format changes or a new client with different format requirements connects, the server automatically detects the change and regenerates the appropriate translation code using stored templates. This self-service mechanism eliminates manual re-coding entirely, reducing both the time required for updates and the potential for human coding errors
Solution Approach 2:
The system continuously monitors for changes in client data formats and automatically triggers regeneration of translation code when changes are detected. This feedback loop ensures the system remains adaptive to format changes without requiring manual intervention, maintaining up-to-date translation routines dynamically
4Extent of automation
If known code generators are used, then code can be generated from data sets, but automatic adaptation to changes in data object model is not possible
Solution Approach 1:
The translation code generation system is designed to be dynamic rather than static. It continuously monitors for changes in client data object models and automatically regenerates translation code when changes are detected. This dynamic capability allows the system to adapt to evolving data formats and models without requiring manual updates or reconfiguration
Solution Approach 2:
The server implements a universal template-based translation code generation mechanism that can handle multiple different data formats and object models through a single system. The templates are designed to be broadly applicable across various data structures, allowing the system to automatically adapt to new or changing data models by selecting and instantiating the appropriate template rather than requiring format-specific custom code
Data Source
AI summary
The present invention provides methods and systems for automatic translation code generation. The client transmits a data object message comprising the current data model of the client to the server. The server automatically generates a new translation code based on the current data model of the client. The newly generated translation code may then be used to convert the data in the server into a data format required by the client. If the current data model of the client changes, the translation code on the server may be automatically adapted according to the changed data format and data on the server is converted with the adapted translation code.