CN112506498A - Intelligent visual API arrangement method, storage medium and electronic equipment - Google Patents
Intelligent visual API arrangement method, storage medium and electronic equipment Download PDFInfo
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Abstract
An intelligent visual API arrangement method, a storage medium and an electronic device comprise a communication network unit, a visual process arrangement unit, an arrangement process monitoring unit, an API service management unit, a rule management unit, a scheduling frequency configuration unit and a process execution engine unit. The invention greatly improves the API execution and scheduling efficiency of the micro-service arrangement system, brings efficiency improvement in management and monitoring, the service arrangement platform has the function of realizing the rapid recombination of enterprise service capacity, namely, a new service innovation point can be realized by dragging, pulling and dragging, and then the service is provided for the outside, the arrangement platform is a high-level capacity recombination center above all the service systems, and meanwhile, the communication between the enterprise privatization service system and a cloud SaaS system and a data center can be realized through the arrangement platform, thereby greatly reducing the development cost of mutual calling of the APIs, and supporting the simultaneous execution and scheduling of large-concurrency API.
Description
Technical Field
The invention relates to the field of micro-service application programs, in particular to an intelligent visual API (application program interface) arranging method, a storage medium and electronic equipment.
Background
The microservice architecture is a new technology for deploying applications and services in the cloud. The microservice may run in its own program and communicate with the HTTP-type API through the lightweight device. The key is that the service can run in its own program. By this we can distinguish service exposure from microservice architecture (distributing an API in existing systems). In service publishing, many services may be restricted by internal independent processes. If any of the services requires some functionality to be added, the process must be narrowed. In the micro-service architecture, only the required functions need to be added in a specific certain service, and the architecture of the whole process is not influenced.
An API (Application-Programming-Interface) is a predefined function or a convention for linking different components of a software system. The goal is to provide applications and developers the ability to access a set of routines based on certain software or hardware without having to access native code or understand the details of the internal workings.
The micro-service orchestration refers to a process of visually orchestrating developed micro-service API interfaces (Restful, WebService, Dubbo, gRPC, and the like) according to a certain service logic and a certain process, and a micro-service orchestration platform can build a process scheduling engine inside to perform automatic scheduling or re-aggregate the process scheduling engine into a new micro-service API to issue.
The business logic can be recombined and reconstructed without any code for the developed API service through the micro-service arrangement, the multiplexing efficiency of the API service can be improved, the agile delivery of foreground business or business system integration can be realized, the business system, data and business logic can be decoupled through the micro-service arrangement platform, the arrangement and delivery of the business logic are completed by a special micro-service arrangement platform, and the API service only needs to concentrate on completing the logic in the micro-service arrangement platform.
With the push of micro service architecture, the business systems of enterprises and public institutions based on the micro service architecture are more and more, and the micro service architecture generates a large amount of API service interfaces and mutual calling among the interfaces. At present, a main processing mode of a developer realizes combination and calling among a plurality of APIs in a coding mode, and the problems that calling monitoring among interfaces with low coding efficiency is difficult and the like, and active recovery cannot be realized when a fault occurs exist.
The prior tool system needs to be realized by strongly depending on a persistent SQL database technology, the state change and the promotion of API nodes are realized based on a table structure of a database, the scheduled nodes need to persist state data into the database in real time in the running process, and the scheduling system based on the technology has the problem of concurrency performance, because the parallel execution of the nodes depends on the read-write performance of the database, with the implementation and use of the micro-service architecture, a large number of APIs can be simultaneously arranged in a complex flow, and the distributed system generally has high performance requirements and high concurrency characteristics, and the API combination and arrangement based on the SQL database technology at present has obvious defects in a large concurrency scene.
Disclosure of Invention
In order to solve the problems in the prior art, the present invention provides an intelligent visual API editing method, a storage medium and an electronic device.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an intelligent visual API arrangement method comprises a communication network unit, a visual process arrangement unit, an arrangement process monitoring unit, an API service management unit, a rule management unit, a scheduling frequency configuration unit and a process execution engine unit; wherein the content of the first and second substances,
a communication network unit for providing communication network capabilities;
the visual process arrangement unit is used for the deployment terminal to construct the API arrangement engine according to the deployment information of the API open platform so that the API arrangement engine is deployed on the API open platform in a plug-in mode; when the API layout engine detects an API layout request triggered by a user on the API open platform, the API layout engine generates an API sub-service list according to the API layout request so that the user can select API sub-services in the API sub-service list; meanwhile, the user can combine and arrange a new flow for the API in a visual dragging, pulling and dragging mode;
the arrangement flow monitoring unit is used for arranging a corresponding API for each functional service, and the API is used for receiving, processing and outputting data according to the corresponding functional service; dividing functions of all APIs for processing data to obtain a plurality of data processing sub-services, and compiling the data processing sub-services to obtain a plurality of atomic level interfaces; meanwhile, monitoring the scheduling and running processes, and performing visual display and playback of the running states of the processes;
the API service management unit is used for designing a middle platform layered architecture into a basic layer and an application program layer based on a business and data layered management strategy, the basic layer and the application program layer are connected through communication of the communication network unit, and unified external service management is provided through the application service gateway; the centers of the application program layer are isolated, and the direct access of an interface method is not provided; the base layer realizes cross-center calling by calling the center interface of each encapsulated application program layer; meanwhile, the API service management unit is used for reissuing the programmed flow as a new API and managing and testing the newly issued API;
the rule management unit abstractly defines and standardizes data input and data output required by the artificial intelligence AI service, and integrates and aggregates different artificial intelligence AI services; when the API layout engine detects that the user selects the API sub-service, the API layout engine constructs an API calling service according to the layout information input by the user and based on the API sub-service;
the scheduling frequency configuration unit is used for setting the process operation frequency for the scheduled process and scheduling the scheduled process according to the process operation frequency;
and the process execution engine unit is used for constructing and propelling execution of the nodes in the memory according to the arranged node processes, and finally outputting a process execution result to the API service management unit.
A storage medium having stored thereon a computer program that, when executed by a processor, implements any of the intelligent visual API orchestration methods.
An electronic device comprises a memory and a processor, wherein the memory stores a computer program running on the processor, and the processor implements any intelligent visual API layout method when executing the computer program.
The invention also has the following additional technical features:
the technical scheme of the invention is further specifically optimized as follows: the application is based on a micro-service framework; the microservice framework is a Restful framework based on a stateless Http protocol; the API is the Restful request interface.
The technical scheme of the invention is further specifically optimized as follows: the data is a database, and the API processes the data into interaction between the API and the data.
The technical scheme of the invention is further specifically optimized as follows: and prohibiting the same user account from subscribing a plurality of services using a plurality of packaged APIs with conflict relations according to the conflict identifications provided by the rule management unit.
The technical scheme of the invention is further specifically optimized as follows: the process execution engine unit provides a process engine, process arrangement, process message notification, process timeout management and service type management whole set of process management functions.
The technical scheme of the invention is further specifically optimized as follows: the data center comprises data acquisition, data governance, data asset management, data development and data services.
The technical scheme of the invention is further specifically optimized as follows: the API open platform also comprises a distributed file system and a computing engine; the distributed file system and the computing engine are connected with the high-performance distributed storage database; the high-performance distributed storage database comprises a relational database and a non-relational database; the distributed file system is a big data analysis frame Hadoop, and the relational database is PostgreSQL; non-PostgreSQL is MongoDB.
Compared with the prior art, the invention has the advantages that:
the invention can greatly improve the API execution and scheduling efficiency of the micro-service arrangement system, and simultaneously bring efficiency improvement in management and monitoring, if the service capability is completely opened to the outside in the form of API, the service arrangement platform has the function of realizing the rapid reorganization of the enterprise service capability, namely, a new service innovation point can be realized by dragging, pulling and dragging, and then the service is provided to the outside, the arrangement platform is a high-level capability reorganization center above all the service systems, and simultaneously, the communication between the enterprise privatization service system and the cloud SaaS system and the data center can be realized through the arrangement platform, the development cost of API mutual calling can be greatly reduced, and simultaneously, the simultaneous execution and scheduling of large-concurrency API can be supported.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings, in order that the present disclosure may be more fully understood and fully conveyed to those skilled in the art. While the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the invention is not limited to the embodiments set forth herein.
An intelligent visual API arrangement method comprises a communication network unit, a visual process arrangement unit, an arrangement process monitoring unit, an API service management unit, a rule management unit, a scheduling frequency configuration unit and a process execution engine unit.
A communication network unit for providing communication network capabilities;
the visual process arrangement unit is used for the deployment terminal to construct the API arrangement engine according to the deployment information of the API open platform so that the API arrangement engine is deployed on the API open platform in a plug-in mode; when the API layout engine detects an API layout request triggered by a user on the API open platform, the API layout engine generates an API sub-service list according to the API layout request so that the user can select API sub-services in the API sub-service list; meanwhile, the user can combine and arrange a new flow for the API in a visual dragging, pulling and dragging mode;
the arrangement flow monitoring unit is used for arranging a corresponding API for each functional service, and the API is used for receiving, processing and outputting data according to the corresponding functional service; dividing functions of all APIs for processing data to obtain a plurality of data processing sub-services, and compiling the data processing sub-services to obtain a plurality of atomic level interfaces; meanwhile, monitoring the scheduling and running processes, and performing visual display and playback of the running states of the processes;
the API service management unit is used for designing a middle platform layered architecture into a basic layer and an application program layer based on a business and data layered management strategy, the basic layer and the application program layer are connected through communication of the communication network unit, and unified external service management is provided through the application service gateway; the centers of the application program layer are isolated, and the direct access of an interface method is not provided; the base layer realizes cross-center calling by calling the center interface of each encapsulated application program layer; meanwhile, the API service management unit is used for reissuing the programmed flow as a new API and managing and testing the newly issued API;
the rule management unit abstractly defines and standardizes data input and data output required by the artificial intelligence AJ service, and integrates and aggregates different artificial intelligence AI services; when the API layout engine detects that the user selects the API sub-service, the API layout engine constructs an API calling service according to the layout information input by the user and based on the API sub-service;
the scheduling frequency configuration unit is used for setting the process operation frequency for the scheduled process and scheduling the scheduled process according to the process operation frequency;
and the process execution engine unit is used for constructing and propelling execution of the nodes in the memory according to the arranged node processes, and finally outputting a process execution result to the API service management unit.
Example 1
Based on the intelligent visual API arrangement method, the application program is based on a micro-service framework; the microservice framework is a Restful framework based on a stateless Http protocol; the API is the Restful request interface.
Example 2
Based on the intelligent visual API layout method of the embodiment 1, data is a database, and the API processes the data into interaction of the API and the data.
Example 3
Based on the intelligent visual API arranging method of embodiment 2, according to the conflict identifier provided by the rule management unit, the same user account is prohibited from subscribing to multiple services using multiple encapsulated APIs with conflict relationships.
Example 4
Based on the intelligent visual API arrangement method of embodiment 3, the process execution engine unit provides a process engine, a process arrangement function, a process message notification function, a process timeout management function, and a service type management function.
Example 5
Based on the intelligent visual API layout method of embodiment 4, the data center includes data acquisition, data governance, data asset management, data development, and data services.
Example 6
Based on the intelligent visual API layout method of the embodiment 5, the API open platform further comprises a distributed file system and a computing engine; the distributed file system and the computing engine are connected with the high-performance distributed storage database; the high-performance distributed storage database comprises a relational database and a non-relational database; the distributed file system is a big data analysis frame Hadoop, and the relational database is PostgreSQL; non-PostgreSQL is MongoDB.
A storage medium having stored thereon a computer program that, when executed by a processor, implements any of the intelligent visual API orchestration methods.
An electronic device comprises a memory and a processor, wherein the memory stores a computer program running on the processor, and the processor implements any intelligent visual API layout method when executing the computer program.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described above with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are a part of the embodiments of the present invention, but not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the above detailed description of the embodiments of the invention presented in the drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Claims (9)
1. An intelligent visual API layout method is characterized by comprising a communication network unit, a visual process layout unit, a layout process monitoring unit, an API service management unit, a rule management unit, a scheduling frequency configuration unit and a process execution engine unit: wherein the content of the first and second substances,
a communication network unit for providing communication network capabilities;
the visual process arrangement unit is used for the deployment terminal to construct the API arrangement engine according to the deployment information of the API open platform so that the API arrangement engine is deployed on the API open platform in a plug-in mode; when the API layout engine detects an API layout request triggered by a user on the API open platform, the API layout engine generates an API sub-service list according to the API layout request so that the user can select API sub-services in the API sub-service list; meanwhile, the user can combine and arrange a new flow for the API in a visual dragging, pulling and dragging mode;
the arrangement flow monitoring unit is used for arranging a corresponding API for each functional service, and the API is used for receiving, processing and outputting data according to the corresponding functional service; dividing functions of all APIs for processing data to obtain a plurality of data processing sub-services, and compiling the data processing sub-services to obtain a plurality of atomic level interfaces; meanwhile, monitoring the scheduling and running processes, and performing visual display and playback of the running states of the processes;
the API service management unit is used for designing a middle platform layered architecture into a basic layer and an application program layer based on a business and data layered management strategy, the basic layer and the application program layer are connected through communication of the communication network unit, and unified external service management is provided through the application service gateway; the centers of the application program layer are isolated, and the direct access of an interface method is not provided; the base layer realizes cross-center calling by calling the center interface of each encapsulated application program layer; meanwhile, the API service management unit is used for reissuing the programmed flow as a new API and managing and testing the newly issued API;
the rule management unit abstractly defines and standardizes data input and data output required by the artificial intelligence AI service, and integrates and aggregates different artificial intelligence AI services; when the API layout engine detects that the user selects the API sub-service, the API layout engine constructs an API calling service according to the layout information input by the user and based on the API sub-service;
the scheduling frequency configuration unit is used for setting the process operation frequency for the scheduled process and scheduling the scheduled process according to the process operation frequency;
and the process execution engine unit is used for constructing and propelling execution of the nodes in the memory according to the arranged node processes, and finally outputting a process execution result to the API service management unit.
2. The intelligent visual API deployment method of claim 1, wherein: the application is based on a micro-service framework; the microservice framework is a Restful framework based on a stateless Http protocol; the API is a Restful request interface.
3. The intelligent visual API orchestration method of claim 1, wherein: the data is a database, and the API processes the data into interaction of the API and the data.
4. The intelligent visual API orchestration method of claim 1, wherein: and prohibiting the same user account from subscribing a plurality of services using a plurality of packaged APIs with conflict relations according to the conflict identifications provided by the rule management unit.
5. The intelligent visual API deployment method of claim 1, wherein: the process execution engine unit provides a process engine, process arrangement, process message notification, process timeout management and service type management whole set of process management functions.
6. The intelligent visual API deployment method of claim 1, wherein: the data center comprises data acquisition, data governance, data asset management, data development and data service.
7. The intelligent visual API deployment method of claim 1, wherein: the API open platform also comprises a distributed file system and a computing engine; the distributed file system and the computing engine are connected with a high-performance distributed storage database; the high performance distributed storage database comprises a relational database and a non-relational database; the distributed file system is a big data analysis framework Hadoop, and the relational database is PostgreSQL; the non-PostgreSQL is MongoDB.
8. A storage medium having a computer program stored thereon, characterized in that: the computer program when executed by a processor implements the intelligent visual API orchestration method according to any one of claims 1 to 7.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that runs on the processor, characterized in that: the processor, when executing the computer program, implements the intelligent visual API orchestration method according to any one of claims 1 to 7.
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| CN112948653A (en) * | 2021-04-23 | 2021-06-11 | 广东省气象探测数据中心 | Meteorological data monitoring system based on business process |
| CN113076203A (en) * | 2021-03-18 | 2021-07-06 | 北京京东乾石科技有限公司 | Application service realization method, realization device and storage medium |
| CN113220343A (en) * | 2021-04-14 | 2021-08-06 | 深圳新贝奥数字科技有限公司 | Enterprise cross-system data integration processing system |
| CN113434268A (en) * | 2021-06-09 | 2021-09-24 | 北方工业大学 | Workflow distributed scheduling management system and method |
| CN113805859A (en) * | 2021-08-20 | 2021-12-17 | 浪潮金融信息技术有限公司 | Method, system and medium for designing middleware of smart screen |
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| CN113805859A (en) * | 2021-08-20 | 2021-12-17 | 浪潮金融信息技术有限公司 | Method, system and medium for designing middleware of smart screen |
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| CN113805870A (en) * | 2021-09-18 | 2021-12-17 | 上海熙菱信息技术有限公司 | Service interface arranging method and system based on BFF framework |
| CN114143373A (en) * | 2021-11-02 | 2022-03-04 | 福建福诺移动通信技术有限公司 | BPMN specification-based capability arrangement engine optimization system and method |
| CN114143373B (en) * | 2021-11-02 | 2023-11-28 | 福建福诺移动通信技术有限公司 | Capacity scheduling engine optimizing system and method based on BPMN specification |
| CN114691233A (en) * | 2022-03-16 | 2022-07-01 | 中国电子科技集团公司第五十四研究所 | Remote sensing data processing plug-in distributed scheduling method based on workflow engine |
| WO2024067155A1 (en) * | 2022-09-30 | 2024-04-04 | 中电信数智科技有限公司 | System for solving complexity of external dependencies of microservice by means of orchestration, and method |
| CN115857907A (en) * | 2023-02-06 | 2023-03-28 | 卓望数码技术（深圳）有限公司 | Business flow dynamic assembly system and method |
| CN117806611A (en) * | 2024-02-29 | 2024-04-02 | 鱼快创领智能科技(南京)有限公司 | Method for creating new service interface based on visual automatic arrangement of interface discovery |
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