CN112799666B - Automatic construction method, system, computer equipment and medium for container cluster view - Google Patents
Automatic construction method, system, computer equipment and medium for container cluster view Download PDFInfo
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Abstract
The present disclosure provides a container cluster view automatic construction method system, a computer device and a readable storage medium, the method comprising: numbering each container in the container cluster, and calling YAML files of each container; analyzing the YAML file of each container to obtain data in the YAML file of each container, and dividing the data into basic data and interactive data; for each container, the numbers of other containers with interactive relation with the container are inquired through the interactive data of the container; displaying the logical relationship among the containers with the interactive relationship, and forming a relationship graph of the containers; adding a display component for each container in the relation diagram of the containers; and respectively adding the basic data of each container in the container relation diagram into each display component to form a visual view. According to the technical scheme, the visual view of the logical relationship and the attribute of the container cluster can be automatically realized, the construction efficiency of the container view is improved, and errors are reduced.
Description
Technical Field
The disclosure belongs to the technical field of computer application, and in particular relates to an automatic construction method for a container cluster view, an automatic construction system for the container cluster view, computer equipment and a computer readable storage medium.
Background
Along with the large-scale application of the container technology, how to intuitively check each item of data of the container and the calling relation among the containers becomes a research hotspot, and the aim can be achieved through the construction of the container view; however, in the existing method for constructing the container view, a user inputs various attribute values of each container through a WEB browser page, and then constructs an interaction relationship between the containers in a manual scribing or dragging mode, mainly the construction of the container view is still realized based on manual operation, on one hand, the efficiency is low, and on the other hand, under the condition that the container clusters are huge or the relationship between the containers is complex, errors are easy to occur.
Disclosure of Invention
The present disclosure provides a method, a system, a computer device, and a computer-readable storage medium for automatically constructing a container cluster view, which can automatically implement a visual view of logical relationships and attributes of a container cluster, improve the efficiency of constructing a container view, and reduce errors.
In a first aspect, an embodiment of the present disclosure provides a method for automatically constructing a container cluster view, including:
numbering each container in the container cluster, and calling YAML (YAML Ain't a Markup Language, another markup language) file of each container;
analyzing the YAML file of each container to obtain data in the YAML file of each container, and dividing the data into basic data and interactive data;
for each container, querying the numbers of other containers with interactive relation with the container according to the interactive data in the YAML file of the container; the method comprises the steps of,
displaying the logical relationship among the containers with the interactive relationship, and forming a relationship graph of the containers;
adding a display component to each container in the relation diagram of the containers;
and respectively adding the basic data in the YAML file of each container in the relation diagram of the container into respective display components to form a visual view.
Further, the parsing the YAML file of each container to obtain data in the YAML file of each container, and dividing the data into basic data and interactive data, includes:
for YAML files of each container, analyzing the YAML files to extract various attributes required by each container and corresponding actual values of the attributes;
and dividing each attribute required by each container into basic data and interaction data according to attribute meanings.
Further, the method further comprises:
and screening all the attributes required by each container and the corresponding actual values thereof, and eliminating the data which do not meet the preset requirements.
Further, the querying the numbers of other containers having interactive relation with the container through the interactive data in the YAML file of the container includes:
and extracting the names or the IP addresses of other containers with interactive information with the container through the interactive data in the YAML file of the container, and inquiring the numbers of the other containers with interactive relation with the container according to the names or the IP addresses of the other containers.
In a second aspect, embodiments of the present disclosure provide an automatic container cluster view building system, comprising:
the calling module is used for numbering all containers in the container cluster and calling YAML files of all the containers;
the analysis module is used for respectively analyzing the YAML files of the containers to obtain data in the YAML files of each container and dividing the data into basic data and interactive data;
a logical relationship module configured to query, for each container, a number of other containers having an interactive relationship with the container from the interactive data in the YAML file of the container;
the front end construction module is used for displaying the logical relationship among the containers with the interactive relationship and forming a relationship diagram of the containers; the method comprises the steps of,
adding a display component to each container in the relation diagram of the containers;
the front-end construction module is further configured to add the base data in the YAML file of each container in the container's relationship diagram to respective presentation components to form a visual view.
Further, the parsing module includes:
the extracting unit is used for respectively analyzing the YAML files of each container to extract each attribute required by each container and the corresponding actual value thereof;
and the classification unit is used for classifying each attribute required by each container and the corresponding actual value into basic data and interactive data according to the attribute meaning.
Further, the parsing module further includes:
and the screening unit is used for screening all the attributes required by each container and the corresponding actual values thereof and eliminating the data which do not meet the preset requirements.
Further, the logic relationship module is specifically configured to:
and for each container, extracting the names or IP addresses of other containers with interactive information with the container through the interactive data in the YAML file of the container, and inquiring the numbers of the other containers with interactive relation with the container according to the names or IP addresses of the other containers.
In a third aspect, an embodiment of the present disclosure further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the container cluster view automatic construction method according to any one of the first aspect.
In a fourth aspect, embodiments of the present disclosure also provide a computer-readable storage medium, comprising: a computer program which, when run on a computer, causes the computer to perform the container cluster view auto-construction method according to any one of the first aspects.
The beneficial effects are that:
the automatic construction method, the system, the computer equipment and the computer readable storage medium for the container cluster view provided by the disclosure are used for numbering all containers in the container cluster and calling YAML files of all the containers; analyzing the YAML file of each container to obtain data in the YAML file of each container, and dividing the data into basic data and interactive data; for each container, querying the numbers of other containers with interactive relation with the container according to the interactive data in the YAML file of the container; displaying the logic relationship among the containers with the interactive relationship, and forming a relationship graph of the containers; adding a display component to each container in the relation diagram of the containers; and respectively adding the basic data in the YAML file of each container in the relation diagram of the container into respective display components to form a visual view. According to the technical scheme, the YAML files of the containers in the container cluster are read, the effective attributes are extracted, the logical relationship and the attribute visual view of the container cluster can be automatically realized, operation and maintenance personnel are helped to manage the container cluster better, and labor cost is saved; and can improve the efficiency of container view construction and reduce human error.
Drawings
Fig. 1 is a schematic flow chart of a method for automatically constructing a container cluster view according to an embodiment of the disclosure;
fig. 2 is a schematic diagram of an automatic container cluster view construction system according to a second embodiment of the present disclosure;
fig. 3 is a schematic diagram of a computer device according to a third embodiment of the disclosure.
Detailed Description
In order that those skilled in the art will better understand the technical solutions of the present disclosure, the present disclosure will be described in further detail with reference to the accompanying drawings and examples.
Wherein the terminology used in the embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure of embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The existing container view construction method is characterized in that a user inputs various attribute values of each container through a page of a WEB browser, then an interactive relation among the containers is constructed in a manual scribing or dragging mode, the efficiency is low, human errors are easy to occur under the condition that container clusters are huge or the relation among the containers is complex, and the container clusters cannot be managed well.
The following describes the technical solutions of the present disclosure and how the technical solutions of the present disclosure solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
Fig. 1 is a flow chart of a method for automatically constructing a container cluster view according to a first embodiment of the present disclosure, as shown in fig. 1, including:
step S101: numbering each container in the container cluster, and calling YAML files of each container;
step S102: analyzing the YAML file of each container to obtain data in the YAML file of each container, and dividing the data into basic data and interactive data;
step S103: for each container, querying the numbers of other containers with interactive relation with the container according to the interactive data in the YAML file of the container; the method comprises the steps of,
step S104: displaying the logical relationship among the containers with the interactive relationship, and forming a relationship graph of the containers;
step S105: adding a display component to each container in the relation diagram of the containers;
step S106: and respectively adding the basic data in the YAML file of each container in the relation diagram of the container into respective display components to form a visual view.
For the existing container cluster, when related requirements (container cluster view construction) exist, each container in the container cluster is numbered, and YAML files of each container in the container cluster are called through an API interface.
YAML is a very high-readability, very close to a program language data structure. Meanwhile, the method has rich expression capability and expandability, and is easy to use. YAML is a recursive abbreviation for "YAML Ain't a Markup Language" (YAML is not a markup language) meaning that YAML emphasizes not a mark, but the data itself. The method is mainly applied to an automatic test process, is used for carrying out data-driven data storage carriers, has case sensitivity, uses indentation to represent a hierarchical relationship, does not allow the TAB key to be used for indentation, only allows the space key to be used for indentation, and uses "#" to represent the characteristic of annotation, wherein the number of the indentation spaces is not important. YAML can simply express data forms such as manifest, hash table, scalar, etc. The method uses blank symbol indentation and a large amount of appearance-dependent characteristics, and is particularly suitable for expressing or editing data structures, various configuration files, dip debug contents and file schematics.
As an example of YAML file in this embodiment:
after the YAML file of each container is called, analyzing the YAML file of each container, and dividing data in the YAML file of each container into basic data and interactive data; for example, the underlying data typically includes parameters of repliacs, name, namespace, image, ports, cpu, memory, labes, etc. and their actual values, and the interaction data is typically data under various types of env labels, such as hardpod_addr and mysql_addr in this example, representing the container IP address or container name with which the container has an interaction relationship.
The YAML file of each container is processed, basic data is stored in a database, such as format conversion and the like, so that the basic data is convenient to read and display, the serial numbers of the containers with interactive relations with the containers are queried according to the interactive data, the interactive relations between the containers and other containers are determined, and the logical relations between the containers and other containers are displayed; after all containers finish the actions, forming a relation diagram of the containers; various pieces of base data of a container are added to a presentation component of the container to form a visual view.
Further, the parsing the YAML file of each container to obtain data in the YAML file of each container, and dividing the data into basic data and interactive data, includes:
for YAML files of each container, analyzing the YAML files to extract various attributes required by each container and corresponding actual values of the attributes;
and dividing each attribute required by each container into basic data and interaction data according to attribute meanings.
Extracting corresponding attributes and corresponding actual values from YAML files of each container, and dividing the attributes and the corresponding actual values into interactive data according to the meanings of the attributes if the attributes are exchanged with other containers; the basic attributes of the container are divided into basic data if they are represented.
Further, the method further comprises:
and screening all the attributes required by each container and the corresponding actual values thereof, and eliminating the data which do not meet the preset requirements.
After each required attribute and the corresponding actual value are extracted from the YAML file, firstly, the data which does not meet the requirements, such as the data with empty actual value or obvious error, are removed from each actual value according to different screening standards corresponding to different attributes of each actual value.
Further, the querying the numbers of other containers having interactive relation with the container through the interactive data in the YAML file of the container includes:
and extracting the names or the IP addresses of other containers with interactive information with the container through the interactive data in the YAML file of the container, and inquiring the numbers of the other containers with interactive relation with the container according to the names or the IP addresses of the other containers. The underlying data in the YAML file, after processing, becomes parameters and values thereof that can be stored in a database. Extracting a container name or a container IP address with interactive information of the container through the interactive data of the container, initiating a query request to a database, sending the container number with interactive relation and the container number of the container to a front end building model according to a query result, and displaying a logical relation.
According to the embodiment of the disclosure, by reading the YAML files of each container of the container cluster, effective attributes are extracted, the logical relationship and attribute visual view of the container cluster can be automatically realized, operation and maintenance personnel are helped to manage the container cluster better, and labor cost is saved; and can improve the efficiency of container view construction and reduce human error.
Fig. 2 is a schematic diagram of an automatic container cluster view construction system according to a second embodiment of the present disclosure, as shown in fig. 2, including:
a calling module 1, configured to number each container in the container cluster and call the YAML file of each container;
a parsing module 2 configured to parse the YAML files of the containers to obtain data in the YAML file of each container, and divide the data into basic data and interactive data;
a logical relationship module 3 configured to query, for each container, a number of another container having an interactive relationship with the container through the interactive data in the YAML file of the container;
the front end construction module 4 is configured to display the logical relationship between containers with interactive relationship and form a relationship diagram of the containers; the method comprises the steps of,
adding a display component to each container in the relation diagram of the containers;
the front-end building module 4 is further configured to add the base data in the YAML file of each container in the container's relationship diagram to the respective presentation component, respectively, to form a visual view.
Further, the parsing module 2 includes:
the extracting unit is used for respectively analyzing the YAML files of each container to extract each attribute required by each container and the corresponding actual value thereof;
and the classification unit is used for classifying each attribute required by each container and the corresponding actual value into basic data and interactive data according to the attribute meaning.
Further, the parsing module 2 further includes:
and the screening unit is used for screening all the attributes required by each container and the corresponding actual values thereof and eliminating the data which do not meet the preset requirements.
Further, the logic relationship module 3 is specifically configured to:
and for each container, extracting the names or IP addresses of other containers with interactive information with the container through the interactive data in the YAML file of the container, and inquiring the numbers of the other containers with interactive relation with the container according to the names or IP addresses of the other containers.
Further, the system also comprises a processing module 5;
the processing module 5 is used for processing the basic data of each container and storing the processed basic data into a database;
the processing module 5 processes the basic data in the YAML file to form various parameters and values thereof which can be stored in a database, so that the front-end construction module 4 can conveniently display the parameters and values.
The automatic construction system for container cluster view in the embodiment of the present disclosure is used for implementing the automatic construction method for container cluster view in the first embodiment of the method, so that the description is simpler, and the detailed description can be referred to in the first embodiment of the method, and the detailed description is omitted here.
In addition, as shown in fig. 3, a third embodiment of the present disclosure further provides a computer device, including a memory 10 and a processor 20, where the memory 10 stores a computer program, and when the processor 20 runs the computer program stored in the memory 10, the processor 20 executes the above-mentioned various possible automatic container cluster view construction methods.
In addition, the embodiment of the disclosure further provides a computer-readable storage medium, in which computer-executable instructions are stored, when the at least one processor of the user equipment executes the computer-executable instructions, the user equipment executes the above-mentioned various possible automatic container cluster view construction methods.
Among them, computer-readable media include computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC (Application Specific Integrated Circuit ). In addition, the ASIC may reside in a user device. The processor and the storage medium may reside as discrete components in a communication device.
It is to be understood that the above embodiments are merely exemplary embodiments employed to illustrate the principles of the present disclosure, however, the present disclosure is not limited thereto. Various modifications and improvements may be made by those skilled in the art without departing from the spirit and substance of the disclosure, and are also considered to be within the scope of the disclosure.
Claims (8)
1. An automatic construction method for a container cluster view, comprising the following steps:
numbering each container in the container cluster, and calling YAML files of each container;
analyzing the YAML file of each container to obtain data in the YAML file of each container, and dividing the data into basic data and interactive data;
for each container, querying the numbers of other containers with interactive relation with the container according to the interactive data in the YAML file of the container; the method comprises the steps of,
displaying the logical relationship among the containers with the interactive relationship, and forming a relationship graph of the containers;
adding a display component to each container in the relation diagram of the containers;
respectively adding basic data in YAML files of all containers in the container relation diagram into respective display components to form a visual view;
the parsing of YAML files of containers to obtain data in YAML files of each container and separating the data into basic data and interactive data includes:
for YAML files of each container, analyzing the YAML files to extract various attributes required by each container and corresponding actual values of the attributes;
dividing each attribute required by each container into basic data and interaction data according to attribute meanings;
the basic data comprise parameters of repliacs, name, namespace, image, ports, cpu, memory and labels and corresponding actual values thereof, and the interactive data comprise data under various env labels.
2. The method according to claim 1, wherein the method further comprises:
and screening all the attributes required by each container and the corresponding actual values thereof, and eliminating the data which do not meet the preset requirements.
3. The method of claim 1, wherein querying the number of the other container having an interactive relationship with the container from the interactive data in the YAML file of the container comprises:
and extracting the names or the IP addresses of other containers with interactive information with the container through the interactive data in the YAML file of the container, and inquiring the numbers of the other containers with interactive relation with the container according to the names or the IP addresses of the other containers.
4. An automated container cluster view construction system, comprising:
the calling module is used for numbering all containers in the container cluster and calling YAML files of all the containers;
the analysis module is used for respectively analyzing the YAML files of the containers to obtain data in the YAML files of each container and dividing the data into basic data and interactive data;
a logical relationship module configured to query, for each container, a number of other containers having an interactive relationship with the container from the interactive data in the YAML file of the container;
the front end construction module is used for displaying the logical relationship among the containers with the interactive relationship and forming a relationship diagram of the containers; the method comprises the steps of,
adding a display component to each container in the relation diagram of the containers;
the front-end construction module is further configured to add the basic data in the YAML file of each container in the container relationship diagram to respective display components to form a visual view;
the parsing module includes:
the extracting unit is used for respectively analyzing the YAML files of each container to extract each attribute required by each container and the corresponding actual value thereof;
the classification unit is used for classifying each attribute required by each container and the corresponding actual value into basic data and interactive data according to attribute meanings;
the basic data comprise parameters of repliacs, name, namespace, image, ports, cpu, memory and labels and corresponding actual values thereof, and the interactive data comprise data under various env labels.
5. The system of claim 4, wherein the parsing module further comprises:
and the screening unit is used for screening all the attributes required by each container and the corresponding actual values thereof and eliminating the data which do not meet the preset requirements.
6. The system of claim 4, wherein the logical relationship module is specifically configured to:
and for each container, extracting the names or IP addresses of other containers with interactive information with the container through the interactive data in the YAML file of the container, and inquiring the numbers of the other containers with interactive relation with the container according to the names or IP addresses of the other containers.
7. A computer device comprising a memory and a processor, the memory having stored therein a computer program, which when executed by the processor performs the method of automatically constructing a container cluster view according to any of claims 1-3.
8. A computer-readable storage medium, comprising: a computer program which, when run on a computer, causes the computer to perform the container cluster view automatic construction method according to any one of claims 1-3.
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