CN110908665A - Jenkins construction plug-in development optimization method and system - Google Patents
Jenkins construction plug-in development optimization method and system Download PDFInfo
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- CN110908665A CN110908665A CN201911037876.2A CN201911037876A CN110908665A CN 110908665 A CN110908665 A CN 110908665A CN 201911037876 A CN201911037876 A CN 201911037876A CN 110908665 A CN110908665 A CN 110908665A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformation of program code
- G06F8/41—Compilation
- G06F8/44—Encoding
- G06F8/443—Optimisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/3644—Software debugging by instrumenting at runtime
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/71—Version control; Configuration management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44521—Dynamic linking or loading; Link editing at or after load time, e.g. Java class loading
- G06F9/44526—Plug-ins; Add-ons
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a jenkins construction plug-in development optimization method and a system thereof.A jenkins server receives a construction task and sends a plug-in execution request to a java plug-in execution library; the java plugin execution library receives a plugin execution request, and obtains plugin information from a plugin management warehouse according to the plugin execution request; the java plugin execution library receives plugin information, calls and executes the requested plugin from the plugin library according to the plugin information, and returns a plugin execution result to the jenkins server; the jenkins server receives and returns the plug-in execution result; according to the invention, on the basis of realizing jenkins plug-in units, the association between the plug-in units and the jenkins units which are really executed is decoupled, and because a common plug-in unit developer does not need to build jenkins locally and does not need to care about the related problems of jenkins environment, the plug-in unit development difficulty is reduced, and each plug-in unit can be developed and debugged locally without the jenkins environment, so that the development efficiency is improved.
Description
Technical Field
The invention relates to the technical field of software development, in particular to a jenkins construction plug-in development optimization method and system.
Background
jenkins is a continuous integration tool commonly used by large companies, and is mainly used for continuously and automatically constructing, testing and integrating software projects and monitoring tasks executed regularly. Because of different requirements of users, jenkins provides an integrated plug-in function besides providing partial functional component plug-ins, so that the users can develop plug-ins by using third-party plug-ins or themselves, and a great number of automation tasks are realized.
Jenkins plug-in development has satisfied user's self-defined function, but plug-in development debugging must build Jenkins locally, uses the java language to develop, because project service is huge, will self-define the Jenkins plug-in of developing a lot of, according to the original development mode of Jenkins plug-in, the threshold of starting with is great, inconvenient local development debugging to be unfavorable for unified management.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: a jenkins construction plug-in development optimization method and a system are provided to reduce the difficulty of plug-in development.
In order to solve the technical problems, the invention adopts the technical scheme that:
the jenkins construction plug-in development optimization method comprises the following steps:
s1, the jenkins server receives the construction task and sends a plug-in execution request to the java plug-in execution library;
s2, the java plugin execution library receives the plugin execution request, and obtains plugin information from the plugin management warehouse according to the plugin execution request;
s3, the java plug-in execution library receives the plug-in information, calls and executes the requested plug-in from the plug-in library according to the plug-in information, and returns a plug-in execution result to the jenkins server;
and S4, the jenkins server receives and returns the plug-in execution result.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
the jenkins construction plug-in development optimization system comprises a jenkins server and a java plug-in execution library, wherein the jenkins server is used for receiving construction tasks and sending plug-in execution requests to the java plug-in execution library; receiving and returning a plug-in execution result;
the java plugin execution library receives the plugin execution request and obtains plugin information from the plugin management warehouse according to the plugin execution request; and receiving the plug-in information, calling and executing the requested plug-in from a plug-in library according to the plug-in information, and returning a plug-in execution result to the jenkins server.
The invention has the beneficial effects that: jenkins construction plug-in development optimization method and system, when a task is constructed by a Jenkins server, plug-in information is acquired from a plug-in management warehouse through a java plug-in execution library, plug-ins are called from the plug-in library according to the plug-in information, and real plug-in commands are executed by the plug-ins, so that association between the plug-ins really executed and the Jenkins is decoupled on the basis of realizing the Jenkins, and because a common plug-in developer does not need to build the Jenkins locally and does not need to care about the related problems of the Jenkins environment, the difficulty in developing the plug-ins is reduced, each plug-in can be developed and debugged locally by breaking away from the Jenkins environment, and the development efficiency is improved.
Drawings
FIG. 1 is a schematic flow chart of a jenkins construction plug-in development optimization method according to an embodiment of the present invention;
FIG. 2 is an interaction diagram of the jenkins building plug-in development optimization method according to the embodiment of the present invention;
fig. 3 is a schematic structural diagram of a jenkins building plug-in development optimization system according to an embodiment of the present invention.
Description of reference numerals:
1.jenkins constructs a plug-in development optimization system; 2. a jenkins server; 3. a java plug-in execution library; 4. a user side; 5. a plug-in management warehouse; 6. and (4) a plug-in library.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
Referring to fig. 1 and 2, the jenkins building plug-in development optimization method includes the steps of:
s1, the jenkins server receives the construction task and sends a plug-in execution request to the java plug-in execution library;
s2, the java plugin execution library receives the plugin execution request, and obtains plugin information from the plugin management warehouse according to the plugin execution request;
s3, the java plug-in execution library receives the plug-in information, calls and executes the requested plug-in from the plug-in library according to the plug-in information, and returns a plug-in execution result to the jenkins server;
and S4, the jenkins server receives and returns the plug-in execution result.
From the above description, the beneficial effects of the present invention are: when a task is built, the jenkins server acquires plug-in information from the plug-in management warehouse through the java plug-in execution library, the plug-ins are called from the plug-in library according to the plug-in information, real plug-in commands are executed by the plug-ins, therefore, on the basis of realizing jenkins plug-ins, association between the plug-ins really executed and the jenkins is decoupled, and because a common plug-in developer does not need to build jenkins locally and does not need to care about related problems of jenkins environment, the difficulty of plug-in development is reduced, and each plug-in can be developed and debugged locally by breaking away from the jenkins environment, and the development efficiency is improved.
Further, the step S1 is specifically:
the jenkins server receives a construction task, sequentially sends plug-in execution requests to a java plug-in execution library according to a task template in the construction task, wherein the task template comprises plug-ins required to be executed by the construction task and the execution sequence of the plug-ins;
the step S4 specifically includes:
and the jenkins server receives the plug-in execution result of each plug-in sequence until all the plug-ins return the plug-in execution result and returns the construction result.
From the above description, the plug-ins and the execution order of the plug-ins required for a single build of a task are declared in the task template, so that the jenkins server can complete the execution of each plug-in order.
Further, the "plug-in information" in the step S2 includes a command configuration file and version information of the requested plug-in;
the step S3 specifically includes:
and the java plugin execution library receives the command configuration file and the version information of the requested plugin, invokes the plugin from the plugin library according to the version information of the requested plugin, enables the invoked plugin to read the command configuration file so as to execute the plugin command, and obtains and returns a plugin execution result to the jenkins server.
From the above description, the plug-in management warehouse realizes unified plug-in management, including all versions of plug-in libraries used in the current jenkins environment and a specific use method of each plug-in library, and facilitates development and use of plug-ins in companies.
Further, the step S3, before the step S3, the java plug-in execution library loads jenkins-related environment variables to initialize parameters required by the plug-in.
As can be seen from the above description, the java plugin execution library is uniformly initialized so that the plugin can be directly called and used.
Further, the plug-in called by the java plug-in execution library from the plug-in library in the step S3 is a python plug-in decoupled from the jenkins environment.
From the above description, Python is a development language which is easy to read, easy to maintain and clearly drawn, is popular by a large number of users and has wide application, and a Python plug-in is adopted to replace a Java plug-in so as to further reduce the development difficulty.
Referring to fig. 3, the jenkins construction plug-in development optimization system includes a jenkins server and a java plug-in execution library, where the jenkins server is configured to receive a construction task and send a plug-in execution request to the java plug-in execution library; receiving and returning a plug-in execution result;
the java plugin execution library receives the plugin execution request and obtains plugin information from the plugin management warehouse according to the plugin execution request; and receiving the plug-in information, calling and executing the requested plug-in from a plug-in library according to the plug-in information, and returning a plug-in execution result to the jenkins server.
From the above description, the beneficial effects of the present invention are: when a task is built, the jenkins server acquires plug-in information from the plug-in management warehouse through the java plug-in execution library, the plug-ins are called from the plug-in library according to the plug-in information, real plug-in commands are executed by the plug-ins, therefore, on the basis of realizing jenkins plug-ins, association between the plug-ins really executed and the jenkins is decoupled, and because a common plug-in developer does not need to build jenkins locally and does not need to care about related problems of jenkins environment, the difficulty of plug-in development is reduced, and each plug-in can be developed and debugged locally by breaking away from the jenkins environment, and the development efficiency is improved.
Further, the jenkins server is specifically configured to receive a construction task, and sequentially send plug-in execution requests to a java plug-in execution library according to a task template in the construction task, where the task template includes plug-ins required to be executed by the construction task and an execution sequence of the plug-ins; and sequentially receiving the plug-in execution result of each plug-in until all plug-ins return the plug-in execution result and return the construction result.
From the above description, the plug-ins and the execution order of the plug-ins required for a single build of a task are declared in the task template, so that the jenkins server can complete the execution of each plug-in order.
Further, the plug-in information received by the java plug-in execution library comprises a command configuration file and version information of the requested plug-in; the plugin library management system is specifically used for receiving a command configuration file and version information of a requested plugin, calling the plugin from the plugin library according to the version information of the requested plugin, enabling the called plugin to read the command configuration file so as to execute a plugin command, and obtaining and returning a plugin execution result to the jenkins server.
From the above description, the plug-in management warehouse realizes unified plug-in management, including all versions of plug-in libraries used in the current jenkins environment and a specific use method of each plug-in library, and facilitates development and use of plug-ins in companies.
Further, before calling the plug-in, the java plug-in execution library also loads jenkins related environment variables and initializes parameters required by the plug-in.
As can be seen from the above description, the java plugin execution library is uniformly initialized so that the plugin can be directly called and used.
Further, the plug-in called by the java plug-in execution library from the plug-in library is a python plug-in decoupled from the jenkins environment.
From the above description, Python is a development language which is easy to read, easy to maintain and clearly drawn, is popular by a large number of users and has wide application, and a Python plug-in is adopted to replace a Java plug-in so as to further reduce the development difficulty.
Referring to fig. 1 and fig. 2, a first embodiment of the present invention is:
the jenkins construction plug-in development optimization method comprises the following steps:
s1, the jenkins server receives the construction task, and sends a plug-in execution request to the java plug-in execution library, wherein the user initiates the construction task on the user end and then sends the construction task to the jenkins server;
specifically, the jenkins server receives a construction task, sequentially sends plug-in execution requests to a java plug-in execution library according to a task template in the construction task, wherein the task template comprises plug-ins required to be executed by the construction task and the execution sequence of the plug-ins;
s2, the java plugin execution library receives a plugin execution request, and obtains plugin information from the plugin management warehouse according to the plugin execution request;
specifically, the plug-in information includes a command configuration file and version information of the requested plug-in;
s3, the java plug-in execution library receives the plug-in information, calls and executes the requested plug-in from the plug-in library according to the plug-in information, and returns a plug-in execution result to the jenkins server;
specifically, the java plugin execution library receives the command configuration file and version information of the requested plugin, invokes the plugin from the plugin library according to the version information of the requested plugin, enables the invoked plugin to read the command configuration file to execute the plugin command, and obtains and returns a plugin execution result to the jenkins server.
And S4, the jenkins server receives and returns the plug-in execution result.
Specifically, the jenkins server receives the plug-in execution result of each plug-in sequence until all plug-ins return the plug-in execution result, and returns the construction result.
In this embodiment, the step S3, before the step S3, the java plug-in execution library further loads jenkins related environment variables to initialize parameters required by the plug-in.
In this embodiment, the plug-in of the plug-in library is a python plug-in that is decoupled from the jenkins environment.
Referring to fig. 1 and fig. 2, a second embodiment of the present invention is:
in the method for building plug-in development and optimization by jenkins, in this embodiment, to build an android mobile application, 10 steps of obtaining all component information, application resources and configuration processing of the android mobile application, building a real light application in the application, building a H5 light application in the application, building a real particle light application in the application, building an android, issuing a built package, analyzing and checking a built package dependence and the like are required, and the steps are continuously adjusted according to new requirements.
According to the prior art, different developers are needed to independently build a local jenkins development environment, jenkins plug-ins of corresponding steps are developed, and plug-ins are continuously loaded in the local jenkins environment for debugging and development.
After the framework is optimized, a plug-in developer only needs to directly develop a plug-in library according to the specification, and can directly debug and develop in the local without depending on jenkins environment.
And then writing plug-ins and execution sequences required by the construction of the whole android mobile application into a task template, executing the construction task on a user end by a user, executing a java plug-in library execution library by a Jenkins server according to the task template, obtaining plug-in commands and corresponding versions required by the android mobile application from the java plug-in library execution library to a plug-in management warehouse according to the task template, running the plug-ins by the java plug-in execution library, returning the running result of the time, and then completing the calling and execution of all the plug-ins in sequence according to the task template, thereby completing the construction of the whole android mobile application.
Referring to fig. 3, a third embodiment of the present invention is:
the jenkins constructed plug-in development optimization system comprises a jenkins server and a java plug-in execution library, wherein the jenkins server is connected with a user side, and the java plug-in execution library is respectively connected with a plug-in management warehouse and a plug-in library.
In this embodiment, the jenkins server is specifically configured to receive a construction task, and sequentially send plug-in execution requests to a java plug-in execution library according to a task template in the construction task, where the task template includes plug-ins to be executed by the construction task and an execution sequence of the plug-ins; sequentially receiving the plug-in execution result of each plug-in until all the plug-ins return the plug-in execution result and return the construction result;
a java plug-in execution library receives a plug-in execution request, loads jenkins related environment variables and initializes parameters needed by the plug-in; acquiring plug-in information from a plug-in management warehouse according to the plug-in execution request; receiving plug-in information, wherein the plug-in information comprises a command configuration file and version information of the requested plug-in; the plugin library management system is specifically used for receiving the command configuration file and the version information of the requested plugin, calling the plugin from the plugin library according to the version information of the requested plugin, enabling the called plugin to read the command configuration file so as to execute a plugin command, and obtaining and returning a plugin execution result to the jenkins server.
In this embodiment, the plug-in of the plug-in library is a python plug-in that is decoupled from the jenkins environment.
In summary, according to the jenkins construction plug-in development optimization method and system provided by the invention, the jenkins server performs environment initialization during task construction, then obtaining the plug-in information from the plug-in management warehouse through a java plug-in execution library, calling the plug-in according to the plug-in information in the plug-in library, executing a real plug-in command by the plug-in, declaring the plug-ins and the execution sequence of the plug-ins required for a single build task in the task template, so that the jenkins server can complete the execution of each plug-in sequence, thereby completing the construction of the whole task, decoupling the association of the plug-in and jenkins which are really executed on the basis of jenkins plug-in, because a common plug-in developer does not need to build jenkins locally and does not need to care about the related problems of jenkins environment, the plug-in development difficulty is reduced, each plug-in can be developed and debugged locally without jenkins environment, so that the development efficiency is improved; meanwhile, the plug-in management warehouse realizes unified plug-in management, comprises all versions of plug-in libraries used in the current jenkins environment and a specific use method of each plug-in library, and facilitates development and use of plug-ins in companies.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (10)
- The jenkins construction plug-in development optimization method is characterized by comprising the following steps:s1, the jenkins server receives the construction task and sends a plug-in execution request to the java plug-in execution library;s2, the java plugin execution library receives the plugin execution request, and obtains plugin information from the plugin management warehouse according to the plugin execution request;s3, the java plug-in execution library receives the plug-in information, calls and executes the requested plug-in from the plug-in library according to the plug-in information, and returns a plug-in execution result to the jenkins server;and S4, the jenkins server receives and returns the plug-in execution result.
- 2. The jenkins construction plug-in development optimization method according to claim 1, wherein the step S1 specifically comprises:the jenkins server receives a construction task, sequentially sends plug-in execution requests to a java plug-in execution library according to a task template in the construction task, wherein the task template comprises plug-ins required to be executed by the construction task and the execution sequence of the plug-ins;the step S4 specifically includes:and the jenkins server receives the plug-in execution result of each plug-in sequence until all the plug-ins return the plug-in execution result and returns the construction result.
- 3. The jenkins building plug-in development optimization method according to claim 1, wherein the "plug-in information" in the step S2 includes a command configuration file and version information of the requested plug-in;the step S3 specifically includes:and the java plugin execution library receives the command configuration file and the version information of the requested plugin, invokes the plugin from the plugin library according to the version information of the requested plugin, enables the invoked plugin to read the command configuration file so as to execute the plugin command, and obtains and returns a plugin execution result to the jenkins server.
- 4. The method for optimizing the development of jenkins building plug-ins according to claim 1, wherein the step S3 is that the java plug-in execution library further includes loading jenkins related environment variables before calling the plug-ins, and initializing parameters required by the plug-ins.
- 5. The jenkins construction plug-in development optimization method according to any one of claims 1 to 4, wherein the plug-in called by the java plug-in execution library from the plug-in library in the step S3 is a python plug-in decoupled from the jenkins environment.
- The jenkins construction plug-in development optimization system comprises a jenkins server and a java plug-in execution library, and is characterized in that:the jenkins server is used for receiving the construction task and sending a plug-in execution request to the java plug-in execution library; receiving and returning a plug-in execution result;the java plugin execution library receives the plugin execution request and obtains plugin information from the plugin management warehouse according to the plugin execution request; and receiving the plug-in information, calling and executing the requested plug-in from a plug-in library according to the plug-in information, and returning a plug-in execution result to the jenkins server.
- 7. The jenkins build plug-in development optimization system of claim 6, wherein:the jenkins server is specifically used for receiving a construction task and sequentially sending plug-in execution requests to a java plug-in execution library according to a task template in the construction task, wherein the task template comprises plug-ins required to be executed by the construction task and the execution sequence of the plug-ins; and sequentially receiving the plug-in execution result of each plug-in until all plug-ins return the plug-in execution result and return the construction result.
- 8. The jenkins build plug-in development optimization system of claim 7, wherein:the plug-in information received by the java plug-in execution library comprises a command configuration file and version information of the requested plug-in; the plugin library management system is specifically used for receiving a command configuration file and version information of a requested plugin, calling the plugin from the plugin library according to the version information of the requested plugin, enabling the called plugin to read the command configuration file so as to execute a plugin command, and obtaining and returning a plugin execution result to the jenkins server.
- 9. The jenkins build plug-in development optimization system of claim 8, wherein:the java plug-in execution library also comprises loading jenkins related environment variables before calling the plug-ins, and initializing parameters required by the plug-ins.
- 10. The jenkins building plug-in development optimization system according to any one of claims 6 to 9, wherein:the plug-in called by the java plug-in execution library from the plug-in library is a python plug-in decoupled from the jenkins environment.
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| US20080059479A1 (en) * | 2006-09-06 | 2008-03-06 | Cheng-Fang Lin | Method and apparatus for invoking a plug-in on a server |
| CN103297381A (en) * | 2012-02-22 | 2013-09-11 | 阿里巴巴集团控股有限公司 | Service access method based on plugin and system thereof |
| CN103425468A (en) * | 2012-05-17 | 2013-12-04 | 航天信息股份有限公司 | Method and device for integrating plug-in type software |
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