CN116170345A - Automatic flow testing method, equipment and medium - Google Patents
Automatic flow testing method, equipment and medium Download PDFInfo
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- CN116170345A CN116170345A CN202310148233.5A CN202310148233A CN116170345A CN 116170345 A CN116170345 A CN 116170345A CN 202310148233 A CN202310148233 A CN 202310148233A CN 116170345 A CN116170345 A CN 116170345A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0811—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking connectivity
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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
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
Abstract
The application discloses an automatic flow test method, equipment and medium, which are applied to an automatic flow test system, wherein the automatic flow test system comprises a database and a cloud platform; the method comprises the following steps: determining test environment data through a database to build a test network environment according to the test environment data; docking with the cloud platform through a test network environment, and determining test data through the cloud platform; and testing the communication state of the test network according to the test data to obtain a test result. The method and the device can automatically install test environments, integrate test networking and prefabricate test data, and automatically count connectivity of flow. Therefore, a simple and efficient method is provided for the installation and deployment of the test environment, the connectivity of the flow and the repeated execution of the test task.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an automatic flow testing method, apparatus, and medium.
Background
With the development of cloud computing, application of an SDN network is becoming more common, so that in the SDN network testing process, a great deal of basic work such as installation of testing environments and testing of traffic communication is involved. Therefore, more and more tests are performed in the laboratory environment, and a tester needs to perform a great deal of repetitive work, so that the test efficiency is reduced.
Disclosure of Invention
In order to solve the problems, the application provides an automatic flow test method which is applied to an automatic flow test system, wherein the automatic flow test system comprises a database and a cloud platform; the method comprises the following steps: determining test environment data through the database so as to build a test network environment according to the test environment data; docking with the cloud platform through the test network environment, and determining test data through the cloud platform; and testing the communication state of the test network according to the test data to obtain a test result.
In one example, the automated traffic testing system further comprises an SDN server; before determining the test environment data by the database, the method further comprises: determining networking information of the SDN server, and sending the networking information to the database for storage; and calling an interface of the SDN server through a preset Python script to extract the networking information, so that the test environment data is determined according to the networking information.
In one example, the automated traffic testing system further comprises a switch; the determining networking information of the SDN server specifically comprises the following steps: initializing and configuring the switch, determining configuration information of the switch, and pre-storing the configuration information through the database; and determining the environment attribute of the test environment network, and classifying and storing the configuration information according to the environment attribute so as to form the networking information.
In one example, building a test network environment according to the test environment data specifically includes: calling a preset Requests module through the Python script to acquire the test environment data through the Requests module; and sending the test environment data to the SDN server so as to build a test network environment through the SDN server.
In one example, the testing the connectivity status of the test network according to the test data specifically includes: acquiring network parameters of the test network, wherein the network parameters comprise, but are not limited to, a network ID and a virtual machine IP; and testing the connectivity of the test network according to the network parameters.
In one example, the method further comprises: the test results are sent to the database to be stored, and the test results are summarized to form an HTML page according to the test results; and displaying the HTML page.
In one example, the method further comprises: determining connectivity values of the test network according to the test results, and comparing the test results with preset connectivity thresholds; and if the test result is smaller than the connectivity threshold, marking the test network, clearing the test network environment and performing a new test.
In one example, the test data includes, but is not limited to, routers, networks, subnets, virtual machines, firewalls, external networks.
On the other hand, the application also provides an automatic flow test device which is applied to an automatic flow test system, wherein the automatic flow test system comprises a database and a cloud platform; the apparatus comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the automated flow test equipment to perform: determining test environment data through the database so as to build a test network environment according to the test environment data; docking with the cloud platform through the test network environment, and determining test data through the cloud platform; and testing the communication state of the test network according to the test data to obtain a test result.
On the other hand, the application also provides a nonvolatile computer storage medium which stores computer executable instructions and is applied to an automatic flow test system, wherein the automatic flow test system comprises a database and a cloud platform; the computer-executable instructions are configured to: determining test environment data through the database so as to build a test network environment according to the test environment data; docking with the cloud platform through the test network environment, and determining test data through the cloud platform; and testing the communication state of the test network according to the test data to obtain a test result.
The flow test method and the flow test device are used for the SDN docking Openstack flow test system. Through the test system, the connectivity of the flow can be automatically counted by automatically installing the test environment, integrating the test networking and prefabricating the test data. Therefore, a simple and efficient method is provided for the installation and deployment of the test environment, the connectivity of the flow and the repeated execution of the test task. The method and the device can track and cover basic flow test items, reduce a large number of repeated work for integration of test environments in an SDN test process, and simultaneously reduce a large number of test contents for connectivity test of flow, thereby providing great help for improving production efficiency of SDN testers.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
FIG. 1 is a flow chart of an automated flow testing method according to an embodiment of the present application;
fig. 2 is a schematic diagram of an automated flow testing apparatus according to an embodiment of the present application.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
As shown in fig. 1, in order to solve the above-mentioned problems, the automatic flow testing method provided in the embodiments of the present application is applied to an automatic flow testing system, where the system includes an SDN physical server, a Mysql database, a networking device, and an Openstack cloud platform, where Openstack is an open-source cloud computing management platform item, and is an open-source item that aims to provide software for public and private cloud construction and management. Mysql is a relational database management system. The SDN physical server is used for installing an SDN controller environment, the Mysql database is used for solidifying environment information, the network equipment and the Openstack cloud platform are used for SDN networking. The method comprises the following steps:
s101, determining test environment data through the database so as to build a test network environment according to the test environment data.
The system stores the information of the SDN server into the Mysql database in advance, is convenient for the Python program to use, performs the construction of the corresponding SDN server through a predetermined Paramiko module, belongs to a third party library of the Python, can be remotely connected with a Linux server, performs the operation on Linux through the Python, and can realize the downloading and uploading of files to a remote server. The tester cannot manually perform the installation step of the SDN server. The method comprises the steps that physical networking information of an SDN network environment is written into a Mysql server in advance, a Rest interface preset by the SDN server is called through a Python script in SDN network environment integration, the actual physical environment is integrated automatically, and a tester does not need to manually execute a network integration step in the process. Rest is a representation of the state transition, a request mode that is now popular.
In one embodiment, an infrastructure is determined in the system by an SDN control system, a switch device, a cloud computing platform, or the like. When the environment is initialized, whether the physical devices such as the switch are zero configuration devices or not is confirmed, and the current configuration is backed up. Before the test starts, the equipment information to be configured is preset through a database, and the environment names are used for distinguishing, so that the equipment information is suitable for different environments.
A table of SDN context information is created using a database and saved. And reading database information through a Pymysql module in Python, and connecting a corresponding server by using a Paramiko module to automatically install the environment of the SDN.
For integration of SDN network environment, the Python is combined with the requestors module, the database is read to read the information of the Underlay network from the database, and then a Rest request is sent to the SDN server, so that the network environment is automatically integrated. The Underlay network is a load-bearing network and is composed of various physical devices, such as TOR switches, aggregation switches, core switches, load balancing devices, firewall devices and the like. The underway network ensures interconnection and interworking between devices on the whole network by using routing protocols (OSPF, IS-IS, BGP, etc.), and IS a bottom layer network responsible for data packet transmission between networks.
S102, interfacing with the cloud platform through the test network environment, and determining test data through the cloud platform.
After the SDN network environment is automatically integrated, the docking with an Openstack cloud platform is realized, test data is automatically constructed on the Openstack cloud platform by executing a Python call Paramiko or a Rest request, and a large number of routers, networks, subnets, virtual machines, firewalls and external networks are constructed. The testers do not need to manually participate in the construction of the repeated data.
In one embodiment, for the test data of the Openstack environment, the data is automatically built by using Python in combination with a Paramiko module or the cloud platform is built through a rest interface. Therefore, the test environment and the test data are constructed, and repeated work such as manual operation and the like is avoided.
S103, testing the communication state of the test network according to the test data to obtain a test result.
After the Openstack cloud platform constructs a large amount of test data, network connectivity of an Openstack virtual machine is tested, a Paramiko module can be called by using Python to execute a CLI command line of the Openstack, information such as network ID, virtual machine IP, and the like of the Openstack is recorded and put in storage, an SSH command is executed by using an Inet module and connected to a corresponding virtual machine, and corresponding network requests such as ping, curl and the like can be automatically executed to test the network connectivity, protocol connectivity and the like. Ipnetns is used to manage network namespaces, which can implement network isolation. Each network namespace provides a completely independent network protocol stack including network device interfaces, IPV4 and IPV6 protocol stacks, IP routing tables, firewall rules, ports, sockets, etc.
In one embodiment, after the test content is executed, the data is stored in a database, each item of test content of each virtual machine is stored in a Mysql database, and finally the test content is summarized and output as an HTML page, and the test result is displayed in the page. By warehousing the data and constructing the flow test code, the test data can be constructed at one time, and all flow connectivity can be tested at one time, so that the availability of the SDN network can be rapidly obtained.
In one embodiment, determining a connectivity value of the test network according to the test result, and comparing the test result with a preset connectivity threshold; if the test result is smaller than the connectivity threshold, marking the test network, confirming as bug, then the environment can be cleared, repeatedly executing the script, and carrying out the corresponding test item.
In one embodiment, the system pre-builds data, and simultaneously solidifies the data in the database, thereby facilitating subsequent reuse, updating and warehousing for the collected data, and facilitating statistics of test results for subsequent test use. Before the test starts, the device configuration information is saved. When the test environment needs to be re-integrated, the equipment is convenient to restore and configure to an initialized state in time. Before testing, the environment wiring and SDN environment information are solidified to a database for storage, and when the environment installation script starts to execute, the SDN environment information is read from the database, and automatic installation is executed. And after the SDN environment is installed, integrating the environment, and integrating the wiring information stored in the database into an SDN networking.
In one embodiment, after the environment test data is constructed, the data of the cloud platform including network_uuid, network_name and IP of the virtual machine are obtained through Python and Paramiko, then the data are put into storage, the virtual machine is connected through the IPnet, the corresponding network connectivity is tested, and the test result is collected and put into storage to obtain a specific network connectivity result.
As shown in fig. 2, an automatic flow test device is applied to an automatic flow test system, wherein the automatic flow test system comprises a database and a cloud platform; the apparatus comprises:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the automated flow test equipment to perform:
determining test environment data through the database so as to build a test network environment according to the test environment data;
docking with the cloud platform through the test network environment, and determining test data through the cloud platform;
and testing the communication state of the test network according to the test data to obtain a test result.
The embodiment of the application also provides a nonvolatile computer storage medium which stores computer executable instructions and is applied to an automatic flow test system, wherein the automatic flow test system comprises a database and a cloud platform; the computer-executable instructions are configured to:
determining test environment data through the database so as to build a test network environment according to the test environment data;
docking with the cloud platform through the test network environment, and determining test data through the cloud platform;
and testing the communication state of the test network according to the test data to obtain a test result.
All embodiments in the application are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred, so that each embodiment mainly describes differences from other embodiments. In particular, for the apparatus and medium embodiments, the description is relatively simple, as it is substantially similar to the method embodiments, with reference to the section of the method embodiments being relevant.
The devices and media provided in the embodiments of the present application are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not described in detail herein.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (10)
1. The automatic flow testing method is characterized by being applied to an automatic flow testing system, wherein the automatic flow testing system comprises a database and a cloud platform; the method comprises the following steps:
determining test environment data through the database so as to build a test network environment according to the test environment data;
docking with the cloud platform through the test network environment, and determining test data through the cloud platform;
and testing the communication state of the test network according to the test data to obtain a test result.
2. The method of claim 1, wherein the automated traffic testing system further comprises an SDN server;
before determining the test environment data by the database, the method further comprises:
determining networking information of the SDN server, and sending the networking information to the database for storage;
and calling an interface of the SDN server through a preset Python script to extract the networking information, so that the test environment data is determined according to the networking information.
3. The method of claim 2, wherein the automated traffic testing system further comprises a switch;
the determining networking information of the SDN server specifically comprises the following steps:
initializing and configuring the switch, determining configuration information of the switch, and pre-storing the configuration information through the database;
and determining the environment attribute of the test environment network, and classifying and storing the configuration information according to the environment attribute so as to form the networking information.
4. The method according to claim 2, wherein building a test network environment according to the test environment data comprises:
calling a preset Requests module through the Python script to acquire the test environment data through the Requests module;
and sending the test environment data to the SDN server so as to build a test network environment through the SDN server.
5. The method according to claim 1, wherein the testing of connectivity status of the test network according to the test data comprises:
acquiring network parameters of the test network, wherein the network parameters comprise, but are not limited to, a network ID and a virtual machine IP;
and testing the connectivity of the test network according to the network parameters.
6. The method according to claim 1, wherein the method further comprises:
the test results are sent to the database to be stored, and the test results are summarized to form an HTML page according to the test results;
and displaying the HTML page.
7. The method according to claim 1, wherein the method further comprises:
determining connectivity values of the test network according to the test results, and comparing the test results with preset connectivity thresholds;
and if the test result is smaller than the connectivity threshold, marking the test network, clearing the test network environment and performing a new test.
8. The method of claim 1, wherein the test data includes, but is not limited to, routers, networks, subnets, virtual machines, firewalls, external networks.
9. An automatic flow test device is characterized by being applied to an automatic flow test system, wherein the automatic flow test system comprises a database and a cloud platform; the apparatus comprises:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the automated flow test equipment to perform:
determining test environment data through the database so as to build a test network environment according to the test environment data;
docking with the cloud platform through the test network environment, and determining test data through the cloud platform;
and testing the communication state of the test network according to the test data to obtain a test result.
10. A non-volatile computer storage medium storing computer executable instructions, characterized by being applied to an automated flow testing system, wherein the automated flow testing system comprises a database and a cloud platform; the computer-executable instructions are configured to:
determining test environment data through the database so as to build a test network environment according to the test environment data;
docking with the cloud platform through the test network environment, and determining test data through the cloud platform;
and testing the communication state of the test network according to the test data to obtain a test result.
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