Systems and methods for translating data read from proxy APIs into computing code

1. A method of automatically generating sample code for an application programming interface (API) for electronic transactions processing in an electronic transactions network, the method comprising:

passing, by at least one processor, converted processor-specific API data and a language-specific template corresponding to the converted processor-specific API data to an output generator using a backend generator; and

generating, by the at least one processor, language-specific sample code by the output generator using the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data.

2. The method of claim 1 , wherein the method is performed within a continuous integration system.

3. The method of claim 1 , wherein the validating includes performing, by the at least one processor, round-trip test transactions with an acquirer processor using configuration files and sample transaction data.

4. The method of claim 1 , further comprising:

reading, by the at least one processor, a processor-specific API, using a processor-specific API reader;

generating, by the at least one processor, the converted processor-specific API data using the processor-specific API reader;

passing, by the at least one processor, the converted processor-specific API data to a language-specific backend module; and

generating the converted processor-specific API data by converting, by the at least one processor using the language-specific backend module, the converted processor-specific API data into a format compatible with the output generator,

wherein the generating the language-specific sample code by the output generator using the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data is performed based on passing the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data to the output generator using the backend generator.

5. The method of claim 4 , further comprising:

detecting, by the at least one processor, a change in the converted processor-specific API data; and

updating, by the at least one processor, the backend generator according to the detected change in the converted processor-specific API data,

wherein the reading the processor-specific API, using the processor-specific API reader, is performed based on updating the backend generator.

6. The method of claim 1 , further comprising:

validating, by the at least one processor, the generated language-specific sample code; and

updating, by the at least one processor, the backend generator according to a result of the validation.

7. A computer system for automatically generating sample code for an application programming interface (API) for electronic transactions processing in an electronic transactions network, the computer system comprising:

a memory; and

at least one processor configured to perform operations comprising:

passing converted processor-specific API data and a language-specific template corresponding to the converted processor-specific API data to an output generator using a backend generator; and

generating language-specific sample code by the output generator using the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data.

8. The computer system of claim 7 , wherein the operations are performed within a continuous integration system.

9. The computer system of claim 7 , wherein the validating includes performing round-trip test transactions with an acquirer processor using configuration files and sample transaction data.

10. The computer system of claim 7 , wherein the operations further comprise:

reading a processor-specific API, using a processor-specific API reader;

generating the converted processor-specific API data using the processor-specific API reader;

passing the converted processor-specific API data to a language-specific backend module; and

generating the converted processor-specific API data by converting, using the language-specific backend module, the converted processor-specific API data into a format compatible with the output generator,

wherein the generating the language-specific sample code by the output generator using the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data is performed based on passing the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data to the output generator using the backend generator.

11. The computer system of claim 10 , wherein the operations further comprise:

detecting a change in the converted processor-specific API data; and

updating the backend generator according to the detected change in the converted processor-specific API data,

wherein the reading the processor-specific API, using the processor-specific API reader, is performed based on updating the backend generator.

12. The computer system of claim 7 , wherein the operations further comprise:

validating the generated language-specific sample code; and

updating the backend generator according to a result of the validation.

13. A non-transitory computer readable medium storing a program causing a computer to execute a method of automatically generating sample code for an application programming interface (API) for electronic transactions processing in an electronic transactions network, the method comprising:

passing converted processor-specific API data and a language-specific template corresponding to the converted processor-specific API data to an output generator using a backend generator; and

generating language-specific sample code by the output generator using the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data.

14. The non-transitory computer readable medium of claim 13 , wherein the method is performed within a continuous integration system.

15. The non-transitory computer readable medium of claim 13 , wherein the validating includes performing round-trip test transactions with an acquirer processor using configuration files and sample transaction data.

16. The non-transitory computer readable medium of claim 13 , wherein the method further comprises:

reading a processor-specific API, using a processor-specific API reader;

generating the converted processor-specific API data using the processor-specific API reader;

passing the converted processor-specific API data to a language-specific backend module; and

generating the converted processor-specific API data by converting, using the language-specific backend module, the converted processor-specific API data into a format compatible with the output generator,

wherein the generating the language-specific sample code by the output generator using the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data is performed based on passing the converted processor-specific API data and the language-specific template corresponding to the converted processor-specific API data to the output generator using the backend generator.

17. The non-transitory computer readable medium of claim 16 , wherein the method further comprises:

detecting a change in the converted processor-specific API data; and

updating the backend generator according to the detected change in the converted processor-specific API data,

wherein the reading the processor-specific API, using the processor-specific API reader, is performed based on updating the backend generator.

18. The non-transitory computer readable medium of claim 13 , wherein the method further comprises:

validating the generated language-specific sample code; and

updating the backend generator according to a result of the validation.