CN111142867A - Service visual arrangement system and method under micro-service architecture - Google Patents
Service visual arrangement system and method under micro-service architecture Download PDFInfo
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Abstract
The invention relates to the field of micro-service application programs, in particular to a service visual arrangement system and method under a micro-service architecture. The system comprises an arrangement process monitoring module for visually displaying the operation state of the process; the visual process arrangement module is used for combining and arranging the API into a new process; the API service management module is used for reissuing the programmed flow as a new API and managing the new API; the rule management module is used for performing unified rule creation and management on service logic processing required in the process of flow arrangement; a scheduling frequency configuration module for setting the process running frequency for the scheduled process and scheduling the scheduled process; and the flow execution engine module is used for constructing and propelling execution of the nodes in the memory according to the arranged node flows and finally outputting the flow execution result to the calling end. The invention can realize visual arrangement and monitoring of a large number of API interfaces of the micro-service, and directly construct arrangement nodes in the memory for execution and scheduling.
Description
Technical Field
The invention relates to the field of micro-service application programs, in particular to a service visual arrangement system and method under a micro-service architecture.
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
Aiming at the defects in the prior art, the invention provides a service visual arrangement system and a service visual arrangement method under a micro-service architecture, which can realize visual arrangement and monitoring of a large number of API interfaces of micro-services when applied, and directly construct arrangement nodes in a memory for execution and scheduling, wherein the arrangement API does not depend on a database in the operation process.
The technical scheme adopted by the invention is as follows:
the service visual arrangement system under the micro-service architecture comprises an arrangement flow monitoring module used for monitoring the flow in scheduling and running and visually displaying and playing back the running state of the flow; the visual process arrangement module is used for combining and arranging a new process by adopting visual dragging, pulling and dragging modes for the API; the API service management module is used for reissuing the programmed flow as a new API and managing and testing the newly issued API; the rule management module is used for performing unified rule creation and management on service logic processing required in the process of flow arrangement; the scheduling frequency configuration module is used for setting the process running frequency for the scheduled process and scheduling the scheduled process according to the process running frequency; and the flow execution engine module is used for constructing and propelling execution of the nodes in the memory according to the arranged node flows and finally outputting the flow execution result to the calling end.
As an optimization of the above technical solution, the process information monitored by the arrangement process monitoring module includes process operation condition statistical information, operation failure process information, normal end process information, and to-be-compensated process information; the flow combined and arranged by the visual flow arranging module comprises a flow name, a flow number, a node name, a node type, an API URL address, an API calling method, API result assertion and API input parameters; the test management content of the API service management module comprises the name of the API, the URL address issued by the API, the authority of the API, the request mode of the API and the Doc document of the API; the management content of the rule management module comprises a rule name, a rule number, a rule visible range and a rule logic code; the scheduling basis of the scheduling frequency configuration module comprises a scheduling name, a scheduling time expression and a scheduling available state; the execution content of the process execution engine module comprises process starting, process pausing, process waiting, process resuming, process compensating and node driving.
The service visual arrangement method under the micro-service architecture comprises the following steps:
s1, carrying out graphical flow arrangement on the API service;
s2, constructing a process instance object corresponding to the arranged process in the memory;
s3, reading the JSON data model of the arrangement process and loading the driving logic of various API nodes into a memory;
s4, calculating front and back associated nodes of each node of the process instance according to the routing lines and the conditions described in the JSON data model;
s5, executing the APIs designated in the nodes of the process instance one by one in the memory, asserting the return result, and selecting the route and the node to be executed next according to the asserted result;
s6, storing the current operation state and operation result data of each node of the process instance by using the queue in the memory;
and S7, summarizing the calling result data of the API in each node of the process instance in the memory when the process is finished, outputting the summarized calling result data to a calling end, and persisting the instance data generated by the process instance in the memory to the MongoDB database in an asynchronous thread mode.
As a preferable mode of the above-described technical solution, in step S1, the specific step of performing the flow arrangement includes:
s11, creating a new flow;
s12, drawing a flow chart of the API node in the newly created flow;
s13, dragging the existing API node into the flow chart, and linking each node according to the execution sequence by using a routing line;
s14, binding API URLs and setting input and output parameters for all dragged API nodes;
and S15, issuing the arranged flow graphic file as a new API, and binding a scheduling strategy.
Preferably, in step S2, the step of constructing the process instance object in the memory further includes:
s21, judging the concurrency number of the process instance, if the concurrency number has limitation, exiting execution, otherwise creating a new ProcessEngine to store the global process variable data;
s22, adding the process instance object into a global executable queue and carrying out time monitoring;
s23, constructing a global flow transaction id to uniformly identify the flow instance and the subsequently operated flow node instance.
Preferably, the step S3 includes the following steps:
s31, reading the JSON data model of the arrangement process, analyzing the JSON data model into a Document object, and then performing data preprocessing;
and S32, analyzing all API types and routing lines in the JSON data model, and loading the driving logic of each API node into a memory.
Preferably, the step S4 includes the following steps:
s41, loading the calculation condition logic in each route and performing grammar pre-check, and exiting the execution of the flow if an error occurs;
s42, compiling and calculating the loaded calculation conditions, and excluding the nodes which are not logical according to the calculation result;
and S43, re-performing upstream and downstream association of the nodes according to the routing relation, and re-calculating the relation between the API nodes and the routing lines.
Preferably, the step S5 includes the following steps:
s51, executing the unified entry execution method driven by the API according to the type of the API;
s52, obtaining a result of a returned character string of the API drive execution method, and storing the result into a global variable of the process instance;
s53, calling an assertion logic configured in the API node and returning corresponding data according to the assertion logic, if the assertion is successful, returning true, and if the assertion is failed, returning false;
and S54, calculating a subsequent route line according to the assertion result and acquiring the target node of the route line for propulsion execution.
Preferably, the step of outputting the API call result data in step S7 includes:
s71, screening data according to the result data requirement in the API node;
s72, combining result data to be output into a JSON data packet;
and S73, identifying the execution success and failure of the whole process instance according to the execution success and failure of each node, and outputting the executed result data to the calling end regardless of the execution success of the process instance.
The invention has the beneficial effects 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 business capacity of an enterprise is completely opened to the outside in the form of API, the service arrangement platform has the function of realizing the rapid recombination of the business capacity of the enterprise, namely, a new business 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 capacity recombination center above all the business systems, and simultaneously, the communication between the enterprise privatization business system and a cloud SaaS system and a 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.
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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 block diagram of the system architecture of the present invention;
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
The invention is further described with reference to the following figures and specific embodiments. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. Specific structural and functional details disclosed herein are merely illustrative of example embodiments of the invention. This invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.
It should be understood that the terms first, second, etc. are used merely for distinguishing between descriptions and are not intended to indicate or imply relative importance. Although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments of the present invention.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, B exists alone, and A and B exist at the same time, and the term "/and" is used herein to describe another association object relationship, which means that two relationships may exist, for example, A/and B, may mean: a alone, and both a and B alone, and further, the character "/" in this document generally means that the former and latter associated objects are in an "or" relationship.
It is to be understood that in the description of the present invention, the terms "upper", "vertical", "inside", "outside", and the like, refer to an orientation or positional relationship that is conventionally used for placing the product of the present invention, or that is conventionally understood by those skilled in the art, and are used merely for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore should not be considered as limiting the present invention.
It will be understood that when an element is referred to as being "connected," "connected," or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. In contrast, when an element is referred to as being "directly adjacent" or "directly coupled" to another element, there are no intervening elements present. Other words used to describe the relationship between elements should be interpreted in a similar manner (e.g., "between … …" versus "directly between … …", "adjacent" versus "directly adjacent", etc.).
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," and "connected" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes," and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, numbers, steps, operations, elements, components, and/or groups thereof.
It should also be noted that, in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed substantially concurrently, or the figures may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In the following description, specific details are provided to facilitate a thorough understanding of example embodiments. However, it will be understood by those of ordinary skill in the art that the example embodiments may be practiced without these specific details. For example, systems may be shown in block diagrams in order not to obscure the examples in unnecessary detail. In other instances, well-known processes, structures and techniques may be shown without unnecessary detail in order to avoid obscuring example embodiments.
Example 1:
the embodiment provides a service visualization orchestration system under a micro-service architecture, as shown in fig. 1, including:
the arrangement flow monitoring module: the flow monitoring module is mainly used for monitoring and analyzing the flows running in the memory or the flows which are finished and persisted, counting the times of success and failure and the average execution time of each flow, and is mainly used for quickly positioning the execution condition of each flow, wherein the monitoring data comprises the times of success and failure of flow execution, the times to be compensated, the flow starting time, the flow ending time, the IP of a server where the flows are executed, the log data of flow execution reality and the like.
A visualized flow arrangement module: the visual process arrangement module mainly pulls the correlated APIs into a graph drawing area in a dragging, pulling and dragging mode in a graphical mode, and then the logic executed mutually according to the API needs is as follows: the serial execution, parallel execution, asynchronous parallel execution and other relations are linked by using a routing line, each node needs to specify the name of an API to be called, the Method of the API, the URL address of the API, the input parameter of the API, the Header information of the API, the assertion logic of the API calling result and the like, and after drawing of the flow chart is completed, the flow chart is stored as a character string of JSON data and is associated with a flow execution engine module.
API service management module: the API service management module mainly issues the programmed flow to be a new API interface, when a user calls the API service, the flow execution engine immediately runs the flow in the memory once and outputs the running result to the calling end, one flow allows the API interfaces with a plurality of different URLs to be issued at the same time, the issued API interfaces can be uniformly managed in the API service management module, and the API can be issued, deleted, modified, input parameter configuration, API test, API right management and the like.
A rule management module: data conversion logic and business code logic exist among nodes in service scheduling, unified management of business logic codes is realized through a unified rule management module, the rule codes are written by using pure Java syntax, and the rule management comprises the following steps: the rule management module and the visual process arrangement module perform association selection.
A scheduling frequency configuration module: the scheduling frequency configuration mainly realizes that certain execution frequency and interval time are set for the scheduled process, a process scheduling engine automatically starts and executes a process instance in a memory according to the setting, and a scheduling module comprises: scheduling name, scheduling time expression, scheduling available state, creator, creating time and the like.
The flow execution engine module: the process execution engine module is mainly responsible for loading process model data, firstly, loading all node data of the process model into a memory according to the unique process ID, classifying and storing the image according to the type of the API node by using a Map, and advancing the process in the memory according to the following steps:
1. starting an arrangement execution engine;
2. searching whether the process exists in the memory, and if the process model exists, immediately creating a process main instance object;
3. immediately searching a starting node of the flow, prompting an error if the flow has no starting node, and returning all subsequent routing line configuration objects of the node if the flow has no starting node;
4. if the subsequent node of the route line exists, the subsequent route line of the starting node is immediately searched;
5. immediately calculating the calculation logic bound in the routing line, and if the logic is established, finding the target node and loading the drive of the target node;
6. executing the service driving logic of the target node and storing the state data of the node into a Map object of a memory;
7. the node successfully repeats the steps 6.4-6.6, and the whole process node can be pushed in the memory until the node is operated to the end node, and the operation of the whole process is not finished;
8. and starting an asynchronous thread to persist all the running state data and result data in the memory into the MongoDB database.
During specific implementation, a user can enter a user UI operation interface of the system through a browser to perform visual arrangement of the process, and the system finally persists all running state data and result data in the memory into the MongoDB database.
The invention rapidly carries out visual arrangement and aggregation on large-scale API service in a graphical mode and forms JSON description format of the flow model, stores the running state data of the flow nodes comprehensively based on the memory when the arrangement engine runs, has the advantages of high arrangement efficiency, stable running, high support of high concurrency and the like compared with the arrangement of the API service by adopting a real-time persistent database and a coding mode, and provides a special service arrangement and aggregation layer for a business system of an enterprise based on a micro-service architecture.
Example 2:
the embodiment provides a service visualization orchestration system under a micro-service architecture, as shown in fig. 2, including the following steps:
s1, carrying out graphical flow arrangement on the API service;
s2, constructing a process instance object corresponding to the arranged process in the memory;
s3, reading the JSON data model of the arrangement process and loading the driving logic of various API nodes into a memory;
s4, calculating front and back associated nodes of each node of the process instance according to the routing lines and the conditions described in the JSON data model;
s5, executing the APIs designated in the nodes of the process instance one by one in the memory, asserting the return result, and selecting the route and the node to be executed next according to the asserted result;
s6, storing the current operation state and operation result data of each node of the process instance by using the queue in the memory;
and S7, summarizing the calling result data of the API in each node of the process instance in the memory when the process is finished, outputting the summarized calling result data to a calling end, and persisting the instance data generated by the process instance in the memory to the MongoDB database in an asynchronous thread mode.
In step S1, the specific steps of performing flow arrangement include:
s11, creating a new flow;
s12, drawing a flow chart of the API node in the newly created flow;
s13, dragging the existing API node into the flow chart, and linking each node according to the execution sequence by using a routing line;
s14, binding API URLs and setting input and output parameters for all dragged API nodes;
and S15, issuing the arranged flow graphic file as a new API, and binding a scheduling strategy.
In step S2, the step after constructing the process instance object in the memory further includes:
s21, judging the concurrency number of the process instance, if the concurrency number has limitation, exiting execution, otherwise creating a new ProcessEngine to store the global process variable data;
s22, adding the process instance object into a global executable queue and carrying out time monitoring;
s23, constructing a global flow transaction id to uniformly identify the flow instance and the subsequently operated flow node instance.
The specific steps of step S3 include:
s31, reading the JSON data model of the arrangement process, analyzing the JSON data model into a Document object, and then performing data preprocessing;
and S32, analyzing all API types and routing lines in the JSON data model, and loading the driving logic of each API node into a memory.
The specific steps of step S4 include:
s41, loading the calculation condition logic in each route and performing grammar pre-check, and exiting the execution of the flow if an error occurs;
s42, compiling and calculating the loaded calculation conditions, and excluding the nodes which are not logical according to the calculation result;
and S43, re-performing upstream and downstream association of the nodes according to the routing relation, and re-calculating the relation between the API nodes and the routing lines.
The specific steps of step S5 include:
s51, executing the unified entry execution method driven by the API according to the type of the API;
s52, obtaining a result of a returned character string of the API drive execution method, and storing the result into a global variable of the process instance;
s53, calling an assertion logic configured in the API node and returning corresponding data according to the assertion logic, if the assertion is successful, returning true, and if the assertion is failed, returning false;
and S54, calculating a subsequent route line according to the assertion result and acquiring the target node of the route line for propulsion execution.
The step of outputting the call result data of the API in step S7 includes:
s71, screening data according to the result data requirement in the API node;
s72, combining result data to be output into a JSON data packet;
and S73, identifying the execution success and failure of the whole process instance according to the execution success and failure of each node, and outputting the executed result data to the calling end regardless of the execution success of the process instance.
The invention can perform the whole-process rerun or only some important API nodes when the API call fails through the asynchronous persistence technology of the memory data, and the system can well recover the node data and perform the recovery rerun of the failed nodes.
The invention follows BPMN2.0 specification in the design of flow graph, thus being beneficial to the rapid arrangement and drawing of API service by the personnel familiar with workflow originally. The method has the advantages that the completely visual process playback capability, the visual data tracing capability and the API calling real-time monitoring capability are realized on the monitoring of the arrangement process, and meanwhile, the average performance, the running times and the failure times of the arrangement process can be counted.
Example 3:
as an optimization to the above embodiment, the flow engine interface logic defines the code as follows:
the driving interface of the orchestration node is defined as follows:
the present invention is not limited to the above-described alternative embodiments, and various other forms of products can be obtained by anyone in light of the present invention. The above detailed description should not be taken as limiting the scope of the invention, which is defined in the claims, and which the description is intended to be interpreted accordingly.
Claims (9)
1. The service visualization arrangement system under the micro-service architecture is characterized in that: the scheduling process monitoring module is used for monitoring the scheduling and running processes and performing visual display and playback of the running states of the processes; the visual process arrangement module is used for combining and arranging a new process by adopting visual dragging, pulling and dragging modes for the API; the API service management module is used for reissuing the programmed flow as a new API and managing and testing the newly issued API; the rule management module is used for performing unified rule creation and management on service logic processing required in the process of flow arrangement; the scheduling frequency configuration module is used for setting the process running frequency for the scheduled process and scheduling the scheduled process according to the process running frequency; and the flow execution engine module is used for constructing and propelling execution of the nodes in the memory according to the arranged node flows and finally outputting the flow execution result to the calling end.
2. The visual orchestration system of services under micro service architecture according to claim 1, wherein: the process information monitored by the arrangement process monitoring module comprises process running condition statistical information, running failure process information, normal ending process information and to-be-compensated process information; the flow combined and arranged by the visual flow arranging module comprises a flow name, a flow number, a node name, a node type, an API URL address, an API calling method, API result assertion and API input parameters; the test management content of the API service management module comprises the name of the API, the URL address issued by the API, the authority of the API, the request mode of the API and the Doc document of the API; the management content of the rule management module comprises a rule name, a rule number, a rule visible range and a rule logic code; the scheduling basis of the scheduling frequency configuration module comprises a scheduling name, a scheduling time expression and a scheduling available state; the execution content of the process execution engine module comprises process starting, process pausing, process waiting, process resuming, process compensating and node driving.
3. The visual service orchestration system according to claim 1 or 2, providing a visual service orchestration method according to a micro service architecture, comprising:
s1, carrying out graphical flow arrangement on the API service;
s2, constructing a process instance object corresponding to the arranged process in the memory;
s3, reading the JSON data model of the arrangement process and loading the driving logic of various API nodes into a memory;
s4, calculating front and back associated nodes of each node of the process instance according to the routing lines and the conditions described in the JSON data model;
s5, executing the APIs designated in the nodes of the process instance one by one in the memory, asserting the return result, and selecting the route and the node to be executed next according to the asserted result;
s6, storing the current operation state and operation result data of each node of the process instance by using the queue in the memory;
and S7, summarizing the calling result data of the API in each node of the process instance in the memory when the process is finished, outputting the summarized calling result data to a calling end, and persisting the instance data generated by the process instance in the memory to the MongoDB database in an asynchronous thread mode.
4. The method for visually arranging services under the micro-service architecture according to claim 3, wherein: in step S1, the specific steps of performing flow arrangement include:
s11, creating a new flow;
s12, drawing a flow chart of the API node in the newly created flow;
s13, dragging the existing API node into the flow chart, and linking each node according to the execution sequence by using a routing line;
s14, binding API URLs and setting input and output parameters for all dragged API nodes;
and S15, issuing the arranged flow graphic file as a new API, and binding a scheduling strategy.
5. The method for visually arranging services under the micro-service architecture according to claim 3, wherein: in step S2, the step after constructing the process instance object in the memory further includes:
s21, judging the concurrency number of the process instance, if the concurrency number has limitation, exiting execution, otherwise creating a new ProcessEngine to store the global process variable data;
s22, adding the process instance object into a global executable queue and carrying out time monitoring;
s23, constructing a global flow transaction id to uniformly identify the flow instance and the subsequently operated flow node instance.
6. The method for visually arranging services under the micro-service architecture according to claim 3, wherein: the specific steps of step S3 include:
s31, reading the JSON data model of the arrangement process, analyzing the JSON data model into a Document object, and then performing data preprocessing;
and S32, analyzing all API types and routing lines in the JSON data model, and loading the driving logic of each API node into a memory.
7. The method for visually arranging services under the micro-service architecture according to claim 3, wherein: the specific steps of step S4 include:
s41, loading the calculation condition logic in each route and performing grammar pre-check, and exiting the execution of the flow if an error occurs;
s42, compiling and calculating the loaded calculation conditions, and excluding the nodes which are not logical according to the calculation result;
and S43, re-performing upstream and downstream association of the nodes according to the routing relation, and re-calculating the relation between the API nodes and the routing lines.
8. The method for visually arranging services under the micro-service architecture according to claim 3, wherein: the specific steps of step S5 include:
s51, executing the unified entry execution method driven by the API according to the type of the API;
s52, obtaining a result of a returned character string of the API drive execution method, and storing the result into a global variable of the process instance;
s53, calling an assertion logic configured in the API node and returning corresponding data according to the assertion logic, if the assertion is successful, returning true, and if the assertion is failed, returning false;
and S54, calculating a subsequent route line according to the assertion result and acquiring the target node of the route line for propulsion execution.
9. The method for visually arranging services under the micro-service architecture according to claim 3, wherein: the step of outputting the call result data of the API in step S7 includes:
s71, screening data according to the result data requirement in the API node;
s72, combining result data to be output into a JSON data packet;
and S73, identifying the execution success and failure of the whole process instance according to the execution success and failure of each node, and outputting the executed result data to the calling end regardless of the execution success of the process instance.
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