CN116320053A - Adaptation method, device, equipment and medium for protocol transmission interface parameter - Google Patents
Adaptation method, device, equipment and medium for protocol transmission interface parameter Download PDFInfo
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a medium for adapting parameters of a protocol transmission interface. The method comprises the following steps: acquiring the interface parameters of a service interface to be adapted; adapting the interface parameters of the service end to be adapted with the interface parameters of the candidate service end in a pre-trained adaptation parameter library according to the interface parameters of the service end to be adapted and the interface parameters of the candidate service end, and determining the interface parameters of the target service end, which are adapted with the interface parameters of the service end to be adapted, from the interface parameters of the candidate service end; the adaptive parameter library comprises client interface parameters, at least one candidate service interface parameter and a mapping relation of the client interface parameters and the candidate service interface parameters; and determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters. The embodiment of the invention can reduce the development workload of the client code and enhance the running stability of the client.
Description
Technical Field
The embodiment of the invention relates to the technical field of protocol transmission, in particular to a method, a device, equipment and a medium for adapting parameters of a protocol transmission interface.
Background
Video monitoring systems based on IP networks have gradually become a mainstream solution for the security industry, especially in the traffic industry. Both snapshot cameras and system platforms involve data transfer of the network, with many available network transfer protocols, such as HTTP, FTP, web Service, etc. The Web Service is a preferred protocol for data transmission due to the characteristics of cross programming languages, cross operating system platforms, easy deployment and the like.
However, since deployment of the Web Service server requires that the business method of the system inside the company be published as a Web Service and registered on the UDDI (Universal Description Discovery and Integration, registry); the client needs to parse WSDL (Web Services Description Language, web service description language) to obtain the interface parameters provided by the server, and package the interface parameters adapted to the server into an HTTP request to send to the server. This may result in that if the interface parameters of the server are changed, for example, the server interface parameters are increased or decreased, the actual meaning of the interface parameters are modified, or the client needs to find a new adaptation method and re-match the interface parameters when the client interfaces with a new server, which is disadvantageous to the development and stability of the client.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a medium for adapting protocol transmission interface parameters, which can reduce the development workload of client codes and enhance the running stability of a client.
In a first aspect, an embodiment of the present invention provides a method for adapting parameters of a protocol transmission interface, including:
acquiring the interface parameters of a service interface to be adapted;
adapting the service interface parameters to be adapted with the candidate service interface parameters in a pre-trained adaptation parameter library according to the service interface parameters to be adapted and the parameter information of the candidate service interface parameters, and determining target service interface parameters adapted with the service interface parameters to be adapted from the candidate service interface parameters; the adaptive parameter library comprises client interface parameters, at least one candidate service interface parameter and a mapping relation of the client interface parameters and the candidate service interface parameters;
and determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters.
In a second aspect, an embodiment of the present invention further provides an apparatus for adapting parameters of a protocol transmission interface, including:
The server side parameter acquisition module is used for acquiring the server side interface parameter to be adapted;
the parameter adaptation module is used for adapting the service interface parameters to be adapted to the candidate service interface parameters in the pre-trained adaptation parameter library according to the service interface parameters to be adapted and the parameter information of the candidate service interface parameters, and determining target service interface parameters adapted to the service interface parameters to be adapted from the candidate service interface parameters; the adaptive parameter library comprises client interface parameters, at least one candidate service interface parameter and a mapping relation of the client interface parameters and the candidate service interface parameters;
and the first adaptation relation establishing module is used for determining the client interface parameter mapped with the target service interface parameter based on the mapping relation and establishing the adaptation relation between the service interface parameter to be adapted and the client interface parameter.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method of adapting protocol transport interface parameters according to any of the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements a method for adapting parameters of a protocol transport interface according to any embodiment of the present invention.
The embodiment of the invention acquires the interface parameters of the service interface to be adapted; adapting the service interface parameters to be adapted with the candidate service interface parameters in a pre-trained adaptation parameter library according to the service interface parameters to be adapted and the parameter information of the candidate service interface parameters, and determining target service interface parameters adapted with the service interface parameters to be adapted from the candidate service interface parameters; the adaptive parameter library comprises client interface parameters, at least one candidate service interface parameter and a mapping relation of the client interface parameters and the candidate service interface parameters; and determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters. According to the embodiment of the invention, the interface parameters of the client and the server are autonomously adapted, so that the development workload of the client code can be reduced, and the running stability of the client is enhanced.
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Fig. 1 is a flowchart of a method for adapting parameters of a protocol transmission interface according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for resolving a server-side interface parameter in a method for adapting a protocol transmission interface parameter according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for adapting parameters of a protocol transmission interface according to another embodiment of the present invention;
fig. 4 is a flowchart of a data information sending method in an adaptation method of a protocol transmission interface parameter according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an adapting device for protocol transmission interface parameters according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While the invention is susceptible of embodiment in the drawings, it is to be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the invention. It should be understood that the drawings and embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the devices in the embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of such messages or information.
In the related art, parameters of a protocol transmission interface are adapted, a Web Service interface is generally written based on a data model, a database matched with the Web Service interface is built, data is stored according to an SQL command submitted by a calling interface, and a client can realize Web Service only by selecting the data. The scheme is suitable for building the Web Service interface of the server, and in daily work, the change of the interface of the server can lead the interface of the client to be subjected to code adaptation, and as the client which is in butt joint with each server can be of different manufacturers or different products, the adaptation and development investment on parameters of the protocol transmission interface is huge. In addition, the method needs the client to select the acquired server data, and the client needs to understand the meaning of the corresponding data to a certain extent, so that the use threshold of the method is increased, and the usability is reduced.
According to the adaptation method of the protocol transmission interface parameters, which is provided by the embodiment, on the basis of the method, the client terminal autonomously learns and predicts different interface parameters of different service terminals, so that the autonomous adaptation of the protocol transmission interface parameters is realized.
Fig. 1 is a flowchart of a protocol transmission interface parameter adapting method according to an embodiment of the present invention, where the embodiment is applicable to a case of autonomous adaptation of a protocol transmission interface. The method may be performed by adapting means of protocol transfer interface parameters, which may be implemented in software and/or hardware, and may be configured in an electronic device, e.g. a device with communication and computing capabilities, such as a background server. As shown in fig. 1, the method specifically includes:
s110, obtaining the service interface parameters to be adapted.
It will be appreciated that the adaptation of the protocol transport interface parameters may comprise a correct matching of the client interface parameters and the server interface parameters to be adapted. The client side sends data information corresponding to the interface of the server side to be adapted to the server side by acquiring the interface parameters of the server side to be adapted to the server side, so that corresponding functions are realized. The server interface parameter to be adapted may include interface sequence and interface parameter information of the server.
In this embodiment, the interface parameters of the service end to be adapted are obtained, and the UDDI of the service end to be adapted can be accessed through the client to obtain the interface parameters of the service end to be adapted. Taking the access method to obtain the interface parameters of the service end to be adapted as an example, the analysis process of the interface parameters of the service end to be adapted is explained. Fig. 2 is a flowchart of a method for resolving parameters of a server-side interface in a method for adapting a protocol transmission interface according to an embodiment of the present invention, where, as shown in fig. 2, the method includes:
S111, acquiring an IP address and an interface method name of a server UDDI to be adapted;
s112, acquiring definition defined by WSDL according to the IP address;
s113, traversing all the links according to the definition and binding data;
s114, determining a nalespace Uri corresponding to at least one binding based on the Element Type;
s115, if the nano space Uri is http:// schema.xmlsoap.org/wsdl/soap/, resolving the binding by adopting soap1.1, and determining the method name and the corresponding parameter block thereof;
s116, if the nano space Uri is http:// schema.xmlsoap.org/wsdl/soap 12/, resolving the binding by adopting soap1.2, and determining the method name and the corresponding parameter block thereof;
s117, analyzing the parameter blocks layer by layer, and determining parameters of input, message and part;
s118, if the method name is the same as the interface method name, placing the method name and the parameter in a map, and determining the type of the map;
s119, analyzing the parameter value of the binding according to the RPC style or the document style based on the type of the map.
By the analysis method, the interface sequence and the parameter information of the server to be adapted can be obtained.
S120, adapting the service interface parameters to be adapted with the candidate service interface parameters in a pre-trained adaptation parameter library according to the parameter information of the service interface parameters to be adapted and the candidate service interface parameters, and determining target service interface parameters adapted with the service interface parameters to be adapted from the candidate service interface parameters; the adaptive parameter library comprises client interface parameters, at least one candidate service interface parameter and a mapping relation of the client interface parameters and the candidate service interface parameters.
The adaptive parameter library comprises a mapping relation which can enable interface parameters of at least one server and at least one client to be successfully docked. The pre-training of the adaptive parameter library may be performed by automatically adapting and manually correcting the input server sample parameters associated with the client interface parameters, so as to determine the server parameters most related to the client interface parameters. For example, the adaptation parameter library may be trained by:
the first step: and acquiring interface parameters of the server to be adapted.
And a second step of: and adapting the interface parameters of the service end to be adapted to the client parameter library to obtain the interface parameters of the adapted client.
The client parameter library obtains column names by traversing the client data table, the column names are stored in the client parameter library, and each parameter has different practical meanings. The client parameter library is relatively fixed since the table structure of the client data table does not change frequently.
And a third step of: and adapting the interface parameters of the service end to be adapted with the adaptation parameter library, and obtaining the interface parameters of the adapted client according to the client parameter library mapped by the adaptation parameter library.
It can be understood that if the confidence coefficient of the interface parameter of the adapted client obtained in the second step meets the preset requirement, the third step is not performed; otherwise, the server interface parameters to be adapted and the adaptation parameter library are further adapted to meet the preset requirements. The preset requirement may be that a preset confidence level is satisfied when the probability of correct adaptation of the interface parameter of the client and the interface parameter of the service to be adapted is in a preset confidence interval. For example, the probability of its correct adaptation is 95%, the confidence level at the confidence interval (93%, 97%) satisfying the preset confidence level of 0.95.
Fourth step: and adapting the interface parameters of the server to be adapted with the correction parameter library to obtain the interface parameters of the adapted client.
It can be appreciated that since the autonomous adaptation process does not necessarily reach a correct adaptation probability meeting the preset requirements, a correction is required manually after the autonomous adaptation. For example, the parameter to be adapted is a, and is autonomously adapted to B in the client parameter library, and the parameter actually correctly adapted to the parameter a is to be C in the client parameter library, then the manual correction is performed, and similar features of a and B and similar features of a and C are stored in the correction parameter library, so as to generate a mapping relationship between the parameter a and the parameter C.
Fifth step: and according to the interface parameters of the adaptive client obtained in the fourth step, obtaining the parameter information of the interface parameters from the client data table.
Wherein, the parameter information may include specific data information of the client interface parameter.
Sixth step: and packaging the parameter information of the client into an http request according to the interface parameter sequence corresponding to the server, and sending the http request to the server.
Seventh step: if the interface parameters sent to the server are wrong, manual correction is carried out, the corrected result is stored in a correction parameter library, and the mapping relation of successful butt joint is updated and stored in an adaptation parameter library.
In the above training method for the adaptive parameter library, the server interface parameters to be adapted can be respectively adapted to the client parameter library and the adaptive parameter library by an EM method; and the server interface parameters to be adapted can be respectively adapted with a client parameter library and an adaptation parameter library through SAGE algorithm.
Taking an EM algorithm as an example for explanation, the method comprises two steps, wherein the first step is to calculate an expected (E), and calculate the maximum likelihood estimated value by using the existing estimated value of the unadapted service interface parameter; the second step is maximization (M), which is the maximum likelihood value found in step E to calculate the value of the parameter, and the parameter estimate found in step M is used in the next step E calculation, continuing the process until convergence. The specific calculation process is as follows:
obtaining a sample set { x } representing server port interface parameters (1) ,…,x (m) -comprising m independent samples.
Wherein the likelihood function L (θ) for the sample set can be determined by the following formula:
wherein the log likelihood function H (θ) for the sample set can be determined by the following formula: :
due to class z corresponding to each sample (i) Is unknown, so the unknown variable is an implicit variable.
The parameter θ at which the likelihood function is maximized is determined by the following formula:
(2) The formula is that the formula (1) numerator and denominator are multiplied by a distribution function Q related to hidden variables i (z (i) ) The expression (3) is obtained from the expression (2) according to the Jensen inequality.
That is, since the lower bound is convergent, and also since the condition for establishing the Jensen inequality equation is that the random variable is a constant, the lower bound of the likelihood function can be determined by the following formula:
And due to Q i (z (i) ) Is a distribution function of z, and, therefore,
after simple variant, can obtain:
the maximum parameter value θ is determined by the following formula:
the E, M steps are repeated until convergence. So far, each parameter in the client parameter library has a corresponding probability model, and the adaptive parameter library comprises the parameters which are trained and successfully docked and is mapped to one parameter in the client parameter library.
In this embodiment, the adaptation parameter library may determine, through pre-training, at least one candidate service interface parameter adapted to the service interface parameter. Because the adapting parameter library is adapted to the interface parameters of at least one server, and determines the mapping relation of successful docking of the interface parameters of at least one server and the client, and each mapping relation is relatively independent, the candidate server interface parameters in the adapting parameter library may be adapted to the interface parameters of the server to be adapted, or may not be adapted to the interface parameters of the server to be adapted. And determining target service end interface parameters matched with the service end interface parameters to be matched from the candidate service end interface parameters.
In this embodiment, the service interface parameters to be adapted are adapted to candidate service interface parameters in a pre-trained adaptation parameter library according to parameter information of the interface parameters, and the service interface parameters to be adapted may be adapted to candidate service interface parameters in the pre-trained adaptation parameter library according to parameter information of the interface parameters based on a maximization expectation algorithm. Of course, the application is not limited to adapting the service interface parameters to be adapted to candidate service interface parameters in the pre-trained adaptation parameter library by using a maximization expectation algorithm.
The maximum expected algorithm is an algorithm for searching parameter maximum likelihood estimation or maximum posterior estimation in a conceptual model depending on hidden variables which cannot be observed. Data information containing hidden variables that cannot be observed can be observed by using a maximization expectation algorithm. For example, based on a maximization expectation algorithm, a likelihood function and a distribution probability of the server interface parameters to be adapted are determined, a lower bound and a maximum parameter value of the server interface parameters to be adapted are determined according to the likelihood function, and the maximum parameter value is adapted to candidate server interface parameters in a pre-trained adaptation parameter library.
S130, determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters.
And determining the client interface parameter which is most suitable for the target service interface parameter according to the mapping relation. And establishing an adaptation relation with the service interface parameters to be adapted through the adapted client interface parameters and performing adaptation.
The embodiment of the invention acquires the interface parameters of the service interface to be adapted; adapting the interface parameters of the service end to be adapted with the interface parameters of the candidate service end in the pre-trained adaptation parameter library according to the parameter information of the interface parameters, and determining the interface parameters of the target service end adapted with the interface parameters of the service end to be adapted from the interface parameters of the candidate service end; the adaptive parameter library comprises mapping relations between client interface parameters and at least one candidate server interface parameter; and determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters. According to the embodiment of the invention, the interface parameters of the client and the server are autonomously adapted, so that the development workload of the client code can be reduced, and the running stability of the client is enhanced.
Fig. 3 is a flowchart of a method for adapting parameters of a protocol transmission interface according to another embodiment of the present invention, where the method is further optimized based on the foregoing embodiments: after obtaining the interface parameters of the server to be adapted, the method further comprises: adapting the service interface parameters to be adapted with the client interface parameters according to the parameter information of the service interface parameters to be adapted; if the adaptation is unsuccessful, adapting the service interface parameters to be adapted to the candidate service interface parameters in a pre-trained adaptation parameter library according to the parameter information of the service interface parameters to be adapted and the candidate service interface parameters; and if the adaptation is successful, establishing an adaptation relation between the server interface parameters to be adapted and the client interface parameters. As shown in fig. 3, the method of this embodiment specifically includes the following steps:
s310, obtaining the service interface parameters to be adapted.
And S320, adapting the service interface parameters to be adapted with the client interface parameters according to the parameter information of the service interface parameters to be adapted.
It can be understood that the server interface parameters to be adapted are pre-adapted to the client interface parameters, and the adaptation method of the protocol transmission interface parameters can be reduced in calculation amount and optimized without directly adapting to a pre-trained adaptation parameter library.
In this embodiment, optionally, adapting the server interface parameter to be adapted to the client interface parameter according to the parameter information of the server interface parameter to be adapted includes: establishing a probability model of the client interface parameters according to a predetermined sample set of the server interface parameters associated with the client interface parameters; and adapting the service interface parameters to be adapted with the probability model according to the parameter information of the service interface parameters to be adapted.
The sample set of the server side interface parameters associated with the client side interface parameters can be automatically acquired or manually acquired in a server side parameter database. For example, one of the interface parameters of the client is an interface calling mode, and the server interface parameter information associated with the parameter can be GET, POST, PUT, DELETE. And establishing a probability model of the client interface parameters for a sample set of the server interface parameters associated with the client interface parameters, determining likelihood functions of the sample set and maximum parameter values thereof, and adapting the interface parameters corresponding to the maximum parameter values with the server interface parameters to be adapted.
And S330, if the adaptation is unsuccessful, adapting the service interface parameters to be adapted to the candidate service interface parameters in the pre-trained adaptation parameter library according to the parameter information of the service interface parameters to be adapted and the candidate service interface parameters, and jumping to S250.
It will be appreciated that the server interface parameters associated with the client interface parameters may not include the interface parameters adapted to the client, and therefore, when the adaptation is unsuccessful, adaptation is required to be performed with the candidate server interface parameters in the pre-trained adaptation parameter library.
And S340, if the adaptation is successful, establishing an adaptation relation between the server interface parameter to be adapted and the client interface parameter.
S350, determining target service end interface parameters matched with the service end interface parameters to be matched from the candidate service end interface parameters.
S360, determining the client interface parameters mapped with the target service interface parameters based on the mapping relation, and establishing the adapting relation between the service interface parameters to be adapted and the client interface parameters.
According to the embodiment of the invention, before the service interface parameters to be adapted are adapted to the candidate service interface parameters in the pre-trained adaptation parameter library, the service interface parameters to be adapted are adapted to the client interface parameters according to the parameter information of the service interface parameters to be adapted, so that the calculated amount can be reduced, and the adaptation method of the protocol transmission interface parameters can be optimized.
In the foregoing embodiments, optionally, after determining, based on the mapping relationship, a client interface parameter mapped with the target service interface parameter, the method further includes: according to the similar characteristics of the interface parameters of the server to be adapted and the interface parameters of the client, matching is carried out from a pre-trained correction parameter library, and whether the similar characteristics belong to suspicious false positive characteristics is determined; the correction parameter library comprises at least one group of false positive example characteristics, real positive example characteristics and suspicious false positive example characteristics, wherein the false positive example characteristics are similar characteristics of service interface parameters and first client interface parameters with wrong adaptation, the real positive example characteristics are similar characteristics of the service interface parameters and second client interface parameters with correct adaptation, and the suspicious false positive example characteristics are characteristics of the false positive example characteristics and the real positive example characteristics are not; if the suspicious false positive example characteristics are met, determining the true positive example characteristics of the mapping according to the false positive example characteristics; if the characteristics do not accord with the suspicious false positive characteristics, the characteristics are determined to be real example characteristics, and the client interface parameters which are correct to the interface parameters of the server to be adapted are determined according to the real example characteristics.
It will be appreciated that in the same set of mappings, the false positive features include some real features and some suspicious false positive features. That is, the suspicious false positive features are false positive features and a difference set of false positive features and true positive feature intersections, and a part of the true positive features included in the false positive features are relatively changed, and wherein the suspicious false positive features are relatively fixed. Therefore, by introducing a determination of whether or not the suspicious false positive features are met, it can be determined that the correct client interface parameters are adapted.
Specifically, the interface parameter to be adapted of the server is A, the interface parameter is determined to be B in the client parameter library through autonomous adaptation, the interface parameter is brought into error detection, similar characteristics of A and B accord with suspicious false positive characteristics, the true positive characteristics of mapping are determined according to the false positive characteristics, and the client interface parameter which is correctly adapted with the interface parameter of the server to be adapted is determined to be parameter C according to the true positive characteristics.
The false positive example characteristics, the real example characteristics and the suspicious false positive example characteristics are generated into a mapping relation and are stored in a correction parameter library, so that the false positive example characteristics can be better identified in the next adaptation, and the accuracy of the adaptation is improved.
In the foregoing embodiments, optionally, after establishing the adaptation relationship between the to-be-adapted service interface parameter and the client interface parameter, the method further includes: determining client interface parameters adapted to the server interface parameters to be adapted; acquiring data information corresponding to the server interface parameters to be adapted from a client data table according to the adapted client interface parameters; and packaging the data information according to the interface parameter sequence of the interface parameter of the service end to be adapted at the service end to be adapted, and sending the data information to the service end.
Specifically, assuming that the interface parameters to be adapted by the server are 1, 2 and 3, the interface parameters to be adapted by the client and the client are D, E and F, obtaining data information d, e and F corresponding to D, E and F according to a client data table, and packaging and sending the data information to the server according to the sequence of the interface parameters to be adapted by the server.
It can be understood that, for the interface parameters with the same practical meaning, that is, the correct mapping relation between the client and the service interface parameters, the corresponding data information in the client data table may be different from the expected data information of the service, so that the data information formats of the client data table corresponding to the service interface parameters may be encapsulated and sent to the service after being converted. Fig. 4 is a flowchart of a data information sending method in an adaptation method of a protocol transmission interface parameter according to another embodiment of the present invention. As shown in fig. 4, the method includes: acquiring a corresponding specific value data in a client parameter data table according to the interface parameters of the adaptive client parameter library; converting data into param according to the conversion rules of the client and the server; initializing call, and setting uploading address and timeout time; inputting interface parameters and specific values param of the client side according to the cal1 sequence; invoke initiate transmission.
In the foregoing embodiments, optionally, after establishing the adaptation relationship between the to-be-adapted service interface parameter and the client interface parameter, the method further includes: and updating the adaptation parameter library according to the adaptation relation.
Specifically, after the adaptation relation between the server interface parameters to be adapted and the client interface parameters is established, the adaptation relation is added into the adaptation parameter library, and the mapping relation between the client interface parameters and the candidate server interface parameters in the adaptation parameter library is updated.
Fig. 5 is a schematic structural diagram of an adapting device for parameters of a protocol transmission interface according to an embodiment of the present invention, where the embodiment is applicable to a case of autonomous adaptation of a protocol transmission interface. As shown in fig. 5, the apparatus includes:
the server side parameter obtaining module 510 is configured to obtain server side interface parameters to be adapted;
the parameter adapting module 520 is configured to adapt the service interface parameter to be adapted to a candidate service interface parameter in a pre-trained adaptation parameter library according to the parameter information of the service interface parameter to be adapted and the candidate service interface parameter, and determine a target service interface parameter adapted to the service interface parameter to be adapted from the candidate service interface parameter; the adaptive parameter library comprises client interface parameters, at least one candidate service interface parameter and a mapping relation of the client interface parameters and the candidate service interface parameters;
A first adaptation relation establishing module 530, configured to determine a client interface parameter mapped with the target server interface parameter based on the mapping relation, and establish an adaptation relation between the server interface parameter to be adapted and the client interface parameter.
The embodiment of the invention acquires the interface parameters of the service interface to be adapted; adapting the interface parameters of the service end to be adapted with the interface parameters of the candidate service end in the pre-trained adaptation parameter library according to the parameter information of the interface parameters, and determining the interface parameters of the target service end adapted with the interface parameters of the service end to be adapted from the interface parameters of the candidate service end; the adaptive parameter library comprises mapping relations between client interface parameters and at least one candidate server interface parameter; and determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters. According to the embodiment of the invention, the interface parameters of the client and the server are autonomously adapted, so that the development workload of the client code can be reduced, and the running stability of the client is enhanced.
Further, the adapting device of the protocol transmission interface parameter further includes:
The first adapting module is used for adapting the service interface parameters to be adapted with the client interface parameters according to the parameter information of the service interface parameters to be adapted after the service interface parameters to be adapted are acquired;
the second adapting module is used for adapting the service interface parameters to be adapted to the candidate service interface parameters in the pre-trained adapting parameter library according to the parameter information of the service interface parameters to be adapted and the candidate service interface parameters if the adapting is unsuccessful;
and the second adaptation relation establishing module is used for establishing the adaptation relation between the service interface parameter to be adapted and the client interface parameter if the adaptation is successful.
Further, the first adaptation module comprises:
the probability model building unit is used for building a probability model of the client interface parameters according to a predetermined sample set of the server interface parameters associated with the client interface parameters;
and the parameter first adapting unit is used for adapting the service interface parameter to be adapted with the probability model according to the parameter information of the service interface parameter to be adapted.
Further, the adaptation method of the protocol transmission interface parameter further includes:
The feature correction module is used for determining the client interface parameters mapped with the target service interface parameters based on the mapping relation, and then matching the similar features of the service interface parameters to be adapted and the client interface parameters from a pre-trained correction parameter library according to the similar features, so as to determine whether the similar features belong to suspicious false positive features; the correction parameter library comprises at least one group of false positive example characteristics, real positive example characteristics and suspicious false positive example characteristics, wherein the false positive example characteristics are similar characteristics of service interface parameters and first client interface parameters with wrong adaptation, the real positive example characteristics are similar characteristics of the service interface parameters and second client interface parameters with correct adaptation, and the suspicious false positive example characteristics are characteristics of the false positive example characteristics and the real positive example characteristics are not;
the third adapting module is used for determining the true example characteristics of the mapping according to the false example characteristics if the false example characteristics are in accordance with the suspicious false example characteristics; if the characteristics do not accord with the suspicious false positive characteristics, the characteristics are determined to be real example characteristics, and the client interface parameters which are correct to the interface parameters of the server to be adapted are determined according to the real example characteristics.
Further, the adaptation method of the protocol transmission interface parameter further includes:
the client parameter determining module is used for determining the client interface parameter to be adapted by the server interface parameter to be adapted after the adaptation relation between the server interface parameter to be adapted and the client interface parameter is established;
the data information acquisition module is used for acquiring data information corresponding to the service interface parameter to be adapted from a client data table according to the adapted client interface parameter;
and the information sending module is used for packaging and sending the data information to the server according to the interface parameter sequence of the interface parameter of the server to be adapted at the server to be adapted.
Further, the adaptation method of the protocol transmission interface parameter further includes:
and the parameter library updating module is used for updating the adaptation parameter library according to the adaptation relation after the adaptation relation between the server interface parameter to be adapted and the client interface parameter is established.
The adaptation device of the protocol transmission interface parameters provided by the embodiment of the invention can execute the adaptation method of the protocol transmission interface parameters provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the adaptation method of the protocol transmission interface parameters.
Fig. 6 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. Fig. 6 illustrates a block diagram of an exemplary electronic device 12 suitable for use in implementing embodiments of the present invention. The electronic device 12 shown in fig. 6 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 6, the electronic device 12 is in the form of a general purpose computing device. Components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory device 28, a bus 18 that connects the various system components, including the system memory device 28 and the processing unit 16.
The system storage 28 may include computer system readable media in the form of volatile memory such as Random Access Memory (RAM) 30 and/or cache memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, commonly referred to as a "hard disk drive"). Although not shown in fig. 6, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. The storage device 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in storage 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the device 12, and/or any devices (e.g., network card, modem, etc.) that enable the device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 20. As shown in fig. 3, the network adapter 20 communicates with other modules of the electronic device 12 over the bus 18. It should be appreciated that although not shown in fig. 6, other hardware and/or software modules may be used in connection with electronic device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running a program stored in the system storage 28, for example, implementing a protocol transmission interface parameter adapting method provided by an embodiment of the present invention, including:
Acquiring the interface parameters of a service interface to be adapted;
adapting the interface parameters of the service end to be adapted to candidate interface parameters in a pre-trained adaptation parameter library according to the parameter information of the interface parameters, and determining target interface parameters adapted to the interface parameters of the service end to be adapted from the candidate interface parameters of the service end; the adaptive parameter library comprises mapping relations between client interface parameters and at least one candidate server interface parameter;
and determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements a method for adapting protocol transmission interface parameters as provided by the embodiment of the invention, comprising:
acquiring the interface parameters of a service interface to be adapted;
adapting the interface parameters of the service end to be adapted to candidate interface parameters in a pre-trained adaptation parameter library according to the parameter information of the interface parameters, and determining target interface parameters adapted to the interface parameters of the service end to be adapted from the candidate interface parameters of the service end; the adaptive parameter library comprises mapping relations between client interface parameters and at least one candidate server interface parameter;
And determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A method for adapting parameters of a protocol transport interface, comprising:
acquiring the interface parameters of a service interface to be adapted;
adapting the service interface parameters to be adapted with the candidate service interface parameters in a pre-trained adaptation parameter library according to the service interface parameters to be adapted and the parameter information of the candidate service interface parameters, and determining target service interface parameters adapted with the service interface parameters to be adapted from the candidate service interface parameters; the adaptive parameter library comprises client interface parameters, at least one candidate service interface parameter and a mapping relation of the client interface parameters and the candidate service interface parameters;
And determining the client interface parameters mapped with the target server interface parameters based on the mapping relation, and establishing the adapting relation between the server interface parameters to be adapted and the client interface parameters.
2. The method according to claim 1, wherein after obtaining the server interface parameters to be adapted, the method further comprises:
adapting the service interface parameters to be adapted with the client interface parameters according to the parameter information of the service interface parameters to be adapted;
if the adaptation is unsuccessful, adapting the service interface parameters to be adapted to the candidate service interface parameters in a pre-trained adaptation parameter library according to the parameter information of the service interface parameters to be adapted and the candidate service interface parameters;
and if the adaptation is successful, establishing an adaptation relation between the server interface parameters to be adapted and the client interface parameters.
3. The method according to claim 2, wherein adapting the service interface parameters to be adapted to the client interface parameters according to the parameter information of the service interface parameters to be adapted, comprises:
establishing a probability model of the client interface parameters according to a predetermined sample set of the server interface parameters associated with the client interface parameters;
And adapting the service interface parameters to be adapted with the probability model according to the parameter information of the service interface parameters to be adapted.
4. The method of claim 1, wherein after determining client interface parameters mapped with the target service interface parameters based on the mapping relationship, the method further comprises:
according to the similar characteristics of the interface parameters of the server to be adapted and the interface parameters of the client, matching is carried out from a pre-trained correction parameter library, and whether the similar characteristics belong to suspicious false positive characteristics is determined; the correction parameter library comprises at least one group of false positive example characteristics, real positive example characteristics and suspicious false positive example characteristics, wherein the false positive example characteristics are similar characteristics of service interface parameters and first client interface parameters with wrong adaptation, the real positive example characteristics are similar characteristics of the service interface parameters and second client interface parameters with correct adaptation, and the suspicious false positive example characteristics are characteristics of the false positive example characteristics and the real positive example characteristics are not;
if the suspicious false positive example characteristics are met, determining the true positive example characteristics of the mapping according to the false positive example characteristics; if the characteristics do not accord with the suspicious false positive characteristics, the characteristics are determined to be real example characteristics, and the client interface parameters which are correct to the interface parameters of the server to be adapted are determined according to the real example characteristics.
5. The method according to claim 1, wherein after establishing the adaptation relation of the service interface parameters to be adapted to the client interface parameters, the method further comprises:
determining client interface parameters adapted to the server interface parameters to be adapted;
acquiring data information corresponding to the server interface parameters to be adapted from a client data table according to the adapted client interface parameters;
and packaging and sending the data information to a server according to the interface parameter sequence of the interface parameter of the server to be adapted at the server to be adapted.
6. The method according to claim 1, wherein after establishing the adaptation relation of the service interface parameters to be adapted to the client interface parameters, the method further comprises:
and updating the adaptation parameter library according to the adaptation relation.
7. An adaptation device for parameters of a protocol transmission interface, comprising:
the server side parameter acquisition module is used for acquiring the server side interface parameter to be adapted;
the parameter adaptation module is used for adapting the service interface parameters to be adapted to the candidate service interface parameters in the pre-trained adaptation parameter library according to the service interface parameters to be adapted and the parameter information of the candidate service interface parameters, and determining target service interface parameters adapted to the service interface parameters to be adapted from the candidate service interface parameters; the adaptive parameter library comprises client interface parameters, at least one candidate service interface parameter and a mapping relation of the client interface parameters and the candidate service interface parameters;
And the first adaptation relation establishing module is used for determining the client interface parameter mapped with the target service interface parameter based on the mapping relation and establishing the adaptation relation between the service interface parameter to be adapted and the client interface parameter.
8. The apparatus of claim 7, wherein the apparatus further comprises:
the first adapting module is used for adapting the service interface parameters to be adapted with the client interface parameters according to the parameter information of the service interface parameters to be adapted after the service interface parameters to be adapted are acquired;
the second adapting module is used for adapting the service interface parameters to be adapted to the candidate service interface parameters in the pre-trained adapting parameter library according to the parameter information of the service interface parameters to be adapted and the candidate service interface parameters if the adapting is unsuccessful;
and the second adaptation relation establishing module is used for establishing the adaptation relation between the service interface parameters to be adapted and the client interface parameters to be adapted if the adaptation is successful.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of adapting protocol transport interface parameters of any of claims 1-6.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements a method of adapting protocol transmission interface parameters according to any of claims 1-6.
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