CN112256272B - Method, system, computer device and storage medium for detecting source code quality - Google Patents
Method, system, computer device and storage medium for detecting source code quality Download PDFInfo
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Abstract
The invention discloses a method for detecting source code quality based on the dimensionality of a code developer, which is characterized in that a strategy of binding a user Id of the current code developer with a source code quality detection result is adopted, and source code quality detection result data submitted by the current developer is obtained by using a method of carrying out differentiation comparison on the currently submitted source code quality detection result and a last detection result. The method solves the technical problem that a source code detection tool SonarQube cannot meet the requirement of performing quality detection on the source code according to the dimensionality of a code submitter.
Description
Technical Field
The invention relates to the technical field of software source code quality detection, in particular to a method, a system, computer equipment and a storage medium for detecting source code quality based on the dimension of a code developer.
Background
With the rapid development of computer and software technologies, the development cycle of software projects is shorter and shorter, so that the adoption of rapid iteration and continuous delivery becomes a necessary choice for most software companies, and the guarantee of the quality of software codes becomes especially important in the process. The method has the advantages that the source code with quality problems can not be repaired by a code submitter (developer) by checking the quality condition of the source code, so that the problem of the source code can be quickly positioned and repaired, and the problem that the developer needs to search, identify, position and repair the source code written by the developer from a large number of quality detection results is very complicated and difficult, so that the labor cost of consuming a large amount of time, being high and energy is caused. The technical reason for this defect is that the source code quality tool SonarQube cannot perform quality detection on the source code according to the dimension of the code submitter, and does not implement the function of performing quality detection on the source code written by the current code submitter (developer).
Disclosure of Invention
The invention aims to overcome the defects in the background art, and provides a method, a system, computer equipment and a storage medium for detecting the quality of a source code based on the dimension of a code developer, wherein a strategy for binding a user Id of a current code presenter (developer) with a source code quality detection result is provided, and the quality detection result data of the source code (the source code which changes at this time, namely the newly added, modified or deleted source code) presented by the current developer is obtained by using a method for performing differentiation comparison between the currently presented source code quality detection result and a last detection result, so that the technical problem that a source code detection tool SonarQube cannot meet the requirement of performing quality detection on the source code according to the dimension of the code presenter is solved.
In order to achieve the technical effects, the invention adopts the following technical scheme:
a method for detecting source code quality based on code developer dimension includes the following steps:
configuring a user Id of a current code developer in a source code pipeline line.
A code developer submits a source code to a code warehouse and triggers a code inspection tool to detect the quality of the source code;
after the detection is finished, a network hook is activated to call a restful API interface;
acquiring a primary key ProjectKeys of a project and a user Id of a code developer in a request body through an interface request;
configuring a measurement index file in a source code, and configuring a relevant measurement index for quality detection according to service needs;
generating a measurement index main key metricKeys character string according to the configured measurement index;
requesting a code inspection tool API to acquire a currently submitted source code quality detection result through the obtained metricKeys and ProjectKeys parameters;
inquiring the last detection result of the current project in a database according to the project key parameter of the project;
comparing and calculating the quality detection result of the currently submitted source code of the current project with the last quality detection result to obtain source code quality result data changed by the current code developer;
and binding the source code quality result of the current code developer with the user Id of the current developer, and then storing the detection result.
Further, the code inspection tool is a SonarQube tool.
Further, when generating the measurement index main key metricKeys character string from the configured measurement indexes, each measurement index is specifically separated by a comma before.
Further, when comparing and calculating the quality detection result of the currently submitted source code of the current project with the last quality detection result, the last quality detection result data is subtracted from the current quality detection result data.
Further, the source code that is currently changed by code developers includes the following implementation: source code is added, modified or deleted.
Meanwhile, the invention discloses a system for detecting the quality of source codes based on the dimensionality of code developers, which comprises the following steps:
the configuration module is used for configuring the user Id of the current code developer in a source code pipeline line.
The detection module is used for detecting the quality of the source code submitted to the code warehouse by the code developer and activating the network hook to call a restful API interface after the detection is finished;
the parameter acquisition module is used for acquiring a main key ProjectKeys of a project and a user Id of a code developer in a request body through an interface request;
the measurement index configuration module is used for configuring a measurement index file in the source code and configuring a measurement index of related quality detection according to the service requirement;
the parameter generating module is used for generating a measurement index main key metricKeys character string according to the configured measurement index;
the detection result acquisition module is used for requesting the detection module to acquire a currently submitted source code quality detection result through the acquired metricKeys and ProjectKeys parameters;
the query module is used for querying the last detection result of the current project in the database according to the project key parameter of the project;
the quality comparison module is used for comparing and calculating the quality detection result of the currently submitted source code of the current project with the last quality detection result to obtain the source code quality result data changed by the current code developer;
and the storage module is used for binding the source code quality result of the current code developer with the user Id of the current developer and then storing the detection result.
Further, the detection module performs quality detection on the source code through a SonarQube tool.
Further, when the quality comparison module compares and calculates the quality detection result of the currently submitted source code of the current project with the last quality detection result, the last quality detection result data is subtracted from the current quality detection result data.
Meanwhile, the invention also discloses computer equipment which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the steps of the method for detecting the source code quality when executing the computer program.
Meanwhile, the invention also discloses a computer readable storage medium, which stores a computer program, and the computer program realizes the steps of the method for detecting the quality of the source code when being executed by a processor.
Compared with the prior art, the invention has the following beneficial effects:
aiming at the problem that software source code quality detection cannot be counted according to the dimension of a code submitter, the method, the system, the computer equipment and the storage medium for detecting the source code quality based on the dimension of the code developer adopt a strategy of binding the user Id of the current code submitter (the developer) with a source code quality detection result, and use a method of carrying out differentiation comparison on the currently submitted source code quality detection result and a last detection result to obtain source code (a source code which is changed at this time, namely a newly added, modified or deleted source code) quality detection result data submitted by the current developer, so that the technical problem that a source code detection tool SonarQube cannot meet the requirement of carrying out quality detection on the source code according to the dimension of the code submitter is solved.
The method can realize the following technical effects in specific application:
effect 1: the strategy of binding the user Id of the current code submitter (developer) with the source code quality detection result is adopted, and the source code quality is detected according to the dimension of the code submitter.
Effect 2: the user Id of the current code submitter (developer) is transmitted in the source code detection command to execute the detection function, so that the quality detection result of the source code (newly added, modified or deleted source code) changed by the current developer is counted.
Effect 3: yml, and configuring the user Id of the current code submitter (developer) in a source code pipeline configuration file, so as to realize the function of associating the current project code detection function with the user.
Effect 4: and obtaining the quality detection result data of the changed source code of the current user by adopting an algorithm for performing differentiation comparison on the quality detection result of the source code submitted by the current project and the quality detection result of the last code.
Drawings
FIG. 1 is a flow chart of the method for detecting source code quality based on the dimension of a code developer.
Detailed Description
The invention will be further elucidated and described with reference to the embodiments of the invention described hereinafter.
Example (b):
the first embodiment is as follows:
as shown in fig. 1, a method for detecting source code quality based on the dimension of a code developer does not look at the following steps:
step 1, configuring a user Id of a current developer at a code quality detection command in a line.
The specific examples in this embodiment are as follows:
echo sonar.analysis.userId＝1>$SONAR_PROJECT_BASE_DIR/sonar-project.properties；
wherein, the user Id 1 is the user Id of the current developer.
And 2, after the developer finishes code editing, submitting the source code to a gitea source code warehouse, triggering a SonarQube tool to carry out quality detection on the source code, and activating a Webhooks function to call a restful API (application program interface) after the detection is finished.
Wherein, the URL of the Webhooks needs to configure the restful API interface address, for example:http:// localhost:8080/sonarqube。
and 3, after the restful API configured in the previous step receives the Webhooks hook function Post request, acquiring the project primary key ProjectKeys and the user Id of the developer from the request message.
And 4, configuring a measurement index file in the source code, and configuring a relevant measurement index for quality detection according to the service requirement.
Examples of the measurement index configured as in the present embodiment are as follows:
"ncloc _ language _ distribution" is a development language, "ncloc" is a code line number, "bugs" is a defect number, "vacunelities" is a bug number, "security _ hotspots" is a suspected bug number, "code _ scales" is a bad taste, "replicated _ lines _ intensity" is a repetition ratio, "comment _ lines _ intensity" is a comment ratio, "complexity" is a circle complexity, "cognitive _ complexity" is a cognitive complexity, "sqale _ index" is a code quality detection index attribute such as technical liability.
And 5, generating a main key metricKeys character string of the measurement index according to the configuration file of the measurement index in the last step, wherein the measurement indexes are separated by commas.
The specific examples in this embodiment are as follows:
metricKeys＝"ncloc_language_distribution,ncloc,bugs,vulnerabilities,security_ho tspots,code_smells,duplicated_lines_density,comment_lines_density,complexity,cogn itive_complexity,sqale_index"。
and 6, requesting to call the SonarQube API to acquire a quality detection result of the currently submitted source code according to the metricKeys and ProjectKeys request parameters acquired in the previous step.
And 7, acquiring last detection result data of the project source code according to the project primary key ProjectKeys.
And 8, comparing and calculating the quality detection result of the currently submitted source code with the detection result data of the last time, and comparing the measurement indexes configured in the previous step one by one, specifically, subtracting the detection result data of the last time from the detection result data of the currently submitted source code to obtain the code quality result data written by the current code submitter (developer).
And 9, binding and storing the user Id of the submitter (developer) and the source code quality detection result obtained after calculation.
In conclusion, the technical scheme of the invention is to automatically detect the quality of the source code according to the dimension of the code submitter. The method comprises the steps of configuring a user Id of a current developer at a code quality detection command in a clone.yml file of a source code pipeline, binding the current developer and code quality detection, submitting a code to a warehouse, activating a SonarQube tool to perform quality detection on the source code, calling a restful API (application program interface) through a Web hook function of the tool after the detection is finished to obtain a source code quality detection result, and then performing differentiation comparison on the currently submitted source code quality detection result and a last detection result.
Example two
A system for detecting source code quality based on code developer dimensions, comprising: the device comprises a configuration module, a detection module, a parameter acquisition module, a measurement index configuration module, a parameter generation module, a detection result acquisition module, an inquiry module, a quality comparison module and a storage module, wherein the parameter acquisition module is respectively connected with the detection module and the configuration module, the measurement index configuration module is connected with the parameter generation module, the detection result acquisition module is connected with the parameter generation module and the parameter acquisition module, and the quality comparison module is respectively connected with the inquiry module, the detection result acquisition module and the storage module.
Specifically, the configuration module is used for configuring the user Id of the current code developer in the source code pipeline line.
And the detection module is used for performing quality detection on the source code submitted to the code warehouse by the code developer, and activating a Webhooks hook function to call the restful API after the detection is completed.
In this embodiment, the detection module performs quality detection on the source code through a SonarQube tool, and the URL of the Webhooks needs to configure a restful API interface address.
The parameter acquisition module is used for acquiring the project main key ProjectKeys and the code developer user Id in the request body through interface request. Specifically, after receiving a Webhooks hook function Post request according to a restful API configured by a detection module, a primary key ProjectKeys of a project and a user Id of a developer are obtained from a request message.
The measurement index configuration module is used for configuring a measurement index file in the source code and configuring a relevant measurement index for quality detection according to the service requirement.
The parameter generation module is used for generating a measurement index main key metricKeys character string according to the configured measurement indexes, and the measurement indexes are separated by commas.
The detection result acquisition module is used for requesting the detection module to acquire the quality detection result of the currently submitted source code through the acquired metricKeys and ProjectKeys parameters.
And the query module is used for querying the last detection result of the current item in the database according to the project keys parameter of the item.
And the quality comparison module is used for comparing and calculating the quality detection result of the currently submitted source code of the current project with the last quality detection result to obtain the source code quality result data changed by the current code developer. Comparing and calculating the quality detection result of the currently submitted source code with the last detection result data, comparing the previously configured measurement indexes one by one, and subtracting the last detection result data from the currently submitted detection result data to obtain the number of the quality results of the codes written by the current code submitter (developer).
The storage module is used for binding the source code quality result of the current code developer with the user Id of the current developer and then storing the detection result.
EXAMPLE III
The embodiment discloses a computer device which can be a server and comprises a processor, a memory, a network interface and a database which are connected through a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data involved in the method for detecting the quality of the source code. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a method for detecting source code quality based on code developer dimensions.
In another embodiment, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to implement the steps of the method for detecting source code quality in the first embodiment, or executes the computer program to implement the functions of the modules of the system for detecting source code quality based on the dimension of the code developer in the second embodiment. To avoid repetition, further description is omitted here.
In another embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and the computer program when executed by a processor implements the steps of the method for detecting source code quality in the first embodiment, or the processor implements the functions of the modules of the system for detecting source code quality based on code developer dimension in the second embodiment. To avoid repetition, further description is omitted here.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. A method for detecting source code quality based on code developer dimension is characterized by comprising the following steps:
configuring a user Id of a current code developer in a source code pipeline line.
A code developer submits a source code to a code warehouse and triggers a code inspection tool to detect the quality of the source code;
after the detection is finished, a network hook is activated to call a restful API interface;
acquiring a primary key ProjectKeys of a project and a user Id of a code developer in a request body through an interface request;
configuring a measurement index file in a source code, and configuring a relevant measurement index for quality detection according to service needs;
generating a measurement index main key metricKeys character string according to the configured measurement index;
requesting a code inspection tool API to acquire a currently submitted source code quality detection result through the obtained metricKeys and ProjectKeys parameters;
inquiring the last detection result of the current project in a database according to the project key parameter of the project;
comparing and calculating the quality detection result of the currently submitted source code of the current project with the last quality detection result, and comparing the measurement indexes configured in the previous step one by one to obtain the source code quality result data changed by the current code developer;
and binding the source code quality result of the current code developer with the user Id of the current developer, and then storing the detection result.
2. The method for detecting source code quality based on code developer dimension as claimed in claim 1, wherein the code inspection tool is a SonarQube tool.
3. The method for detecting source code quality based on code developer dimension as claimed in claim 1, wherein when generating a measurement index main key metricKeys character string according to configured measurement indexes, each measurement index is specifically separated by a comma.
4. The method as claimed in claim 1, wherein when comparing and calculating the quality detection result of the currently submitted source code of the current project with the last quality detection result, the last quality detection result data is subtracted from the current quality detection result data.
5. The method for detecting source code quality based on code developer dimension as claimed in claim 4, wherein the source code of current code developer change comprises the following implementation modes: source code is added, modified or deleted.
6. A system for detecting source code quality based on code developer dimensions, comprising:
the configuration module is used for configuring the user Id of the current code developer in a source code pipeline line.
The detection module is used for detecting the quality of the source code submitted to the code warehouse by the code developer and activating the network hook to call a restful API interface after the detection is finished;
the parameter acquisition module is used for acquiring a main key ProjectKeys of a project and a user Id of a code developer in a request body through an interface request;
the measurement index configuration module is used for configuring a measurement index file in the source code and configuring a measurement index of related quality detection according to the service requirement;
the parameter generating module is used for generating a measurement index main key metricKeys character string according to the configured measurement index;
the detection result acquisition module is used for requesting the detection module to acquire a currently submitted source code quality detection result through the acquired metricKeys and ProjectKeys parameters;
the query module is used for querying the last detection result of the current project in the database according to the project key parameter of the project;
the quality comparison module is used for comparing and calculating the quality detection result of the currently submitted source code of the current project with the last quality detection result to obtain the source code quality result data changed by the current code developer;
and the storage module is used for binding the source code quality result of the current code developer with the user Id of the current developer and then storing the detection result.
7. The system for detecting source code quality based on code developer dimension as claimed in claim 6, wherein the detection module is used for performing quality detection on the source code through a SonarQube tool.
8. The system for detecting source code quality based on code developer dimension as claimed in claim 6, wherein the quality comparison module compares and calculates the quality detection result of the currently submitted source code of the current project with the last quality detection result, specifically, subtracts the last quality detection result data from the current quality detection result data.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method of detecting source code quality according to any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method of detecting source code quality according to any one of claims 1 to 5.
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