WO2023087721A1 - Service processing model generation method and apparatus, and electronic device and storage medium - Google Patents

Abstract

A service processing model generation method and apparatus, and an electronic device and a storage medium. The method comprises: generating a model description file according to collected service demand information; extracting model configuration parameters in the model description file according to a preset label; and selecting a model processing file according to the model configuration parameters and service basic system information to form a service processing model.

Description

A business processing model generation method, device, electronic equipment and storage medium

This application claims priority to a Chinese patent application with application number 202111383654.3 filed with the China Patent Office on November 22, 2021, the entire contents of which are incorporated herein by reference.

technical field

The embodiments of the present application relate to the technical field of computer applications, for example, to a method, device, electronic device and storage medium for generating a service processing model.

Background technique

With the development of big data technology, technology iterative updates are very frequent, and developers need rich and complex tools to complete the corresponding technology updates. Therefore, when using big data technology to deal with business problems, the implementation method is often very complicated. Often different business requirements will lead to different big data technologies used, for example, MapReduce for batch processing, Flink for real-time stream processing, Tensorflow for multimedia processing, Spark or Flink SQL for structured query statements, etc. , the big data platform integrates the above-mentioned technical frameworks, tools and class libraries.

Due to the large differences in business requirements in different fields, different business processing models are constantly updating product versions as requirements change, making offline code development difficult to maintain, and there are problems such as repeated versions, chaotic codes, and inability to effectively merge. At present, there is an urgent need for an online generation method of business processing models, which can shield different technical details and reduce the difficulty of generating business processing models.

Contents of the invention

This application provides a business processing model generation method, device, electronic equipment, and storage medium to realize the automatic generation of business processing models, reduce the code redundancy of business models, reduce the time cost of model development, and improve business processing efficiency .

In the first aspect, the embodiment of the present application provides a method for generating a business processing model, the method including:

Generate a model description file based on the collected business requirement information;

Extracting the model configuration parameters in the model description file according to the preset tags;

A model processing file is selected according to the model configuration parameters and business basic system information to form a business processing model.

In the second aspect, the embodiment of the present application also provides an apparatus for generating a business processing model, which includes:

The requirement collection module is configured to generate a model description file according to the collected business requirement information;

The parameter identification module is configured to extract the model configuration parameters in the model description file according to the preset tags;

The model generation module is configured to select a model processing file to form a business processing model according to the model configuration parameters and business basic system information.

In a third aspect, the embodiment of the present application further provides an electronic device, the electronic device comprising:

at least one processor;

a memory configured to store at least one program,

When the at least one program is executed by the at least one processor, the at least one processor is made to implement the service processing model generation method as described in the first aspect.

In a fourth aspect, the embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for generating a service processing model as described in the first aspect is implemented.

Description of drawings

Fig. 1 shows the flow chart of the implementation of the business processing model generation method in the related art;

FIG. 2 is a flow chart of a method for generating a business processing model provided in Embodiment 1 of the present application;

FIG. 3 is a flow chart of a method for generating a business processing model provided in Embodiment 2 of the present application;

FIG. 4 is a flow chart of a method for generating a business processing model provided in Embodiment 3 of the present application;

FIG. 5 is a flow chart of another business processing model generation method provided in Embodiment 3 of the present application;

FIG. 6 is a flow chart of another method for generating a business processing model provided in Embodiment 3 of the present application;

FIG. 7 is a flow chart of another business processing model generation method provided in Embodiment 3 of the present application;

FIG. 8 is a schematic structural diagram of a business processing model generation device provided in Embodiment 4 of the present application;

FIG. 9 is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present application.

Detailed ways

The application will be described in detail below in conjunction with the accompanying drawings and embodiments. In the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

In order to facilitate the verification of the application of the business processing model generation method in the related technology, FIG. 1 shows the flow chart of the realization of the business processing model generation method in the related technology. As shown in Figure 1, the realization of the business processing model generation method in related technologies is as follows: first, the real-time streaming data uses flink or spark streaming to write hard code logic, and then uses spark and flink to write hard code in the offline link, and machine learning calculation, Graph computing is written and implemented in a hard-coded manner. However, the differences in the needs of different users are difficult to maintain through offline code development. With the continuous iteration of product version functions, versions are duplicated and codes are confused, which cannot be effectively merged.

This application proposes a method for generating a business processing model, which realizes the automatic generation of the business processing model, effectively reduces the code redundancy of the business model, reduces the time cost of model development to a certain extent, and improves the efficiency of business processing.

Embodiment one

Fig. 2 is a flow chart of a method for generating a business processing model provided in Embodiment 1 of the present application. This embodiment is applicable to the automatic generation of a business processing model, and the method can be executed by a device for generating a business processing model , the device can be implemented in hardware and/or software, and can generally be configured in electronic equipment. Including the following steps:

S210. Generate a model description file according to the collected business requirement information.

Wherein, the business requirement information can be understood as the business information needed to generate the business processing model, which may include the storage location of the business data, the processing flow of the business, and the like. Exemplarily, the business demand information can be the calculation of the price of a commodity input by the user on the front page; it can also be the realization of the optimal planning path of the input information; it can also be the realization of the input video transmission method, etc. , which is not limited in this embodiment.

In this embodiment, the model description file can be understood as a file describing and defining the composition of the business model, and the model description file can include parameters used in the composition of the business processing model, such as input parameters, output parameters, and operators. For example, the generated model description file may be an extensible markup language (EXtensible Markup Language, XML) file.

In this embodiment, the collected business requirements can be stored in a fixed format by receiving the business requirements input by the user on the front-end page, or by identifying the business requirements based on artificial intelligence for documents, video resources and other materials The file is used as a model description file, and the file format of the model description file is not limited here, and may include an XML file or a custom format file.

In this embodiment, business requirement information can be collected and stored as a model description file, and the way of collecting business requirement information in this process can include collecting business requirement information by manually inputting or dragging options on the page .

S220. Extract the model configuration parameters in the model description file according to the preset tags.

Among them, the preset tags can be text or special characters with characteristic meanings, and the preset tags can be used to mark different types of parameters in the description file, such as <model> tags, <inputs> tags, <outputs> tags, etc., this implementation Examples are not limited here. Model configuration parameters can be understood as parameters used to generate business processing models. Model configuration parameters can be generated according to the aforementioned business requirement information, and different model configuration parameters can be stored in association with different preset tags. Exemplarily, the model configuration parameters may be information such as the computing framework type, model type, and model name in the <model> tag. Among them, the calculation framework type can be spark; the model type can be batch, which is divided into two types: streaming and off-line; the model name can be testabsd.

In this embodiment, after the model description file is generated according to the collected business requirement information, the model description file must be loaded first, and the model description file can be parsed using preset tags to obtain model configuration parameters.

For example, the method of extracting the model configuration parameters in the model description file according to the preset tags may include: by matching the keywords of the preset tags in the model description file, the parameter information after the keywords are extracted as the model configuration of the type corresponding to the keywords Parameters; it can also include the method of using language description information parameters according to the language description model, and then using simulation software to extract; it can also include selecting M computing nodes that store data sets from the blockchain system, and then selecting K Each computing node performs model training, obtains the training results, and finally obtains the model parameters according to the training results of the data set.

S230. Select a model processing file according to the model configuration parameters and business basic system information to form a business processing model.

Among them, the business basic system information can be understood as the relevant file information in the business operating system. Exemplarily, the business basic system information may be file information in the windows system; it may also be file information in the Linux system, or it may be file information in the ios system, which is not limited in this embodiment. It can be understood that the types of file information executed by different business basic system information are different, and model processing files can be selected according to model configuration parameters and business basic system information to form a business processing model.

In this embodiment, the model processing file can be understood as source codes generated based on different computing frameworks through parsing and controlling model configuration parameters. What needs to be known is that the model processing files corresponding to different software development languages are different. For the same business requirement information, different software development languages may have different implementation methods, but their business processing capabilities are the same or similar. Exemplarily, different software development languages may be Java language; Python language; C language, etc., which are not limited in this embodiment. For example, for the same business requirement information in Java language and Python language, the code files implemented by the two languages are different, but their business processing capabilities are the same or similar.

In this embodiment, the business processing model can be understood as code information finally generated by selecting a model processing file according to model configuration parameters and business basic system information. Exemplarily, the service processing model may be a Java archive (Java Archive, jar) package. After the business processing model is formed, the user can use the business processing model to realize the operation of the jar package on different computers and different systems.

In this embodiment, the method of selecting model processing files to form a business processing model according to the model configuration parameters and business basic system information can be to first generate basic engineering files according to the model information of the model configuration parameters, and then detect the running operating system of the business processing model And determine the business basic system information corresponding to the running operating system, select the matching model processing file according to the business basic system information, and fill the model configuration parameters into the model processing file according to the type to generate the business processing model; you can also obtain multiple parameter combinations , and then combine the sample set and multiple parameters to form corresponding business models, so as to obtain matching processing files according to the business models.

In the technical solution provided by the embodiment of this application, the model description file is generated according to the collected business requirement information, the model configuration parameters in the model description file are extracted according to the preset tags, and the model processing file is selected using the model configuration parameters and business basic system information Constitutes a business processing model. In the embodiment of this application, by using the preset tags to parse the model description file, the model configuration parameters used in the generation of the business processing model can be accurately obtained, so that the automatic generation of the business processing model can be realized, and the business processing model can be constructed using the model processing file, reducing the number of business processing models The degree of repeated development in the generation process solves the problem of writing hard code offline through online model configuration, which can effectively reduce the code redundancy of the business model and reduce the time cost of model development to a certain extent, thereby improving business processing efficiency. Compared with related technologies, the business processing model generation method adopted effectively solves the problems of duplication of versions, chaotic codes and inability to effectively merge caused by offline writing of hard codes and continuous updating of product version functions.

Embodiment two

FIG. 3 is a flow chart of a method for generating a service processing model provided in Embodiment 2 of the present application. This embodiment is refined on the basis of the above-mentioned embodiments. Can include the following steps:

Optionally, in this embodiment, a model description file may be generated according to collected business requirement information. The steps may be: S310 to S320.

S310. Monitor the service requirement information input by the user on the service requirement collection page.

In this embodiment, the business requirement information input by the user may be the business requirement information input by the user by handwriting, or may be the business requirement information input by the user in the form of dragging or dragging, or may be entered by the user in the form of touch. The input service requirement information; this embodiment does not make a limitation here.

In this embodiment, the service requirement information input by the user may be monitored on the service requirement collection page. Wherein, the business requirement collection page can be understood as a page for collecting user service requirement information.

S320. Fill the business requirement information into the description file template according to its type to generate a model description file.

Wherein, the belonging type can be understood as the attribute information of the service requirement information input by the user. The belonging information may be computing framework type information or model type information, which is not limited in this embodiment. Exemplarily, when the belonging information is computing framework type information, it may be flink, spark, etc.; when the belonging information is model type information, it may be framework, type, name, input type, tablename, connection, etc.

In this embodiment, the business requirement information input by the user needs to be filled into the description file template according to its type. It can be understood that each parameter information in the description file template has a certain binding relationship with the controls in the business requirement information input by the user.

Optionally, in this embodiment, the model configuration parameters in the model description file may be extracted according to preset tags. The steps may be: S330 to S340.

S330. Match keywords of preset tags in the model description file.

Wherein, the keywords of the preset tags can be understood as the keywords in the preset tags. Exemplarily, the model tag in the model description file; the inputs tag can also be input in the model description file; the outputs tag can also be output for the model description file. This embodiment is not limited here.

In this embodiment, after at least one piece of business requirement information is filled into the description file template according to its type to generate a model description file, keywords of preset tags can be matched in the model description file to extract parameter information after keywords.

S340. The parameter information after the keyword is extracted is used as a model configuration parameter of a type corresponding to the keyword.

Wherein, the parameter information can be understood as the parameter information correspondingly filled into the description file template according to the type to generate the model description file. After matching the keyword of the preset tag in the model description file, the parameter information after the keyword can be extracted as the model configuration parameter of the corresponding type of keyword. Wherein, the type corresponding to the keyword may include a model, may also include an input, and may also include an operator, etc., which are not limited in this embodiment.

In this embodiment, the keywords in the preset tags can be matched in the model description file, and then the parameter information after matching the keywords in the preset tags in the model description file can be extracted and generated as the model configuration of the type corresponding to the keywords parameter.

Optionally, the corresponding types of keywords include at least: model, input, output, and operator.

Among them, the model can be understood as the processing model of the program code, and the processing logic when processing different business requirement information. The model can contain spark, flag, transformer and other model frameworks. Operators can be understood as pre-set business processing logic. Exemplarily, the operator can be related code processing logic for calculating the matching content of related graphics; it can also be related code processing logic for optimal path planning and implementation; it can also be related code processing logic for device detection. The embodiments are not limited here.

In this embodiment, after extracting the parameter information of keywords can be used as the model configuration parameters of the corresponding type of keywords, all input operator configuration information can be obtained, the input operators are cyclically input in sequence, and operator instance objects are obtained according to the operator names .

Optionally, in this embodiment, a service processing model may be formed by selecting a model processing file according to model configuration parameters and basic service system information. The steps may be: S350 to S380.

S350. Generate a basic engineering file according to the model information of the model configuration parameters.

Among them, the basic project file can be understood as a file set showing the directory structure, used to store various project files, and the basic project file can be composed of multiple files. Each basic project file corresponds to a piece of disk space, and an address pointing to the corresponding space is provided. A folder of basic project files can include multiple subfolders, and the bottom layer is the file itself. The types of basic project files can be document files, pictures, photo albums, music, video, voice, code files, etc. It should be noted that the bottom layer of the subfolder in the basic project file can realize a complete business processing capability.

In this embodiment, the basic project file can be generated according to the model information of the model configuration parameters, and the template name of the basic project file can be revised according to the model definition name.

S360. Detect the running operating system of the service processing model and determine the service basic system information corresponding to the running operating system.

Wherein, the running operating system may be understood as an operating system for compiling and running codes. The running operating system may be a windows operating system, a Linux operating system, or an ios operating system, which is not limited in this embodiment.

In this embodiment, different running operating systems have different compiling and running commands. Exemplarily, the cmd command can be applied to the windows running operating system, and the sh command can be used to run the linux operating system.

In this embodiment, the service basic system information corresponding to the running operating system can be determined by detecting the running operating system of the service processing model, and the compiling and executing instructions can be dynamically selected according to the detection of the running operating system. After the selection, execute the compiling operation to execute the instruction and compile the code.

S370. Select a matching model according to the business basic system information and process the file.

In this embodiment, after detecting the running operating system of the business processing model and determining the business basic system information corresponding to the running operating system, a matching model processing file can be selected according to the business basic system information for the next step of operation.

S380. Fill the model configuration parameters according to types into the model processing file to generate a service processing model.

In this embodiment, the matching model processing file is selected according to the basic business system information, and model configuration parameters can be filled into the model processing file according to type to generate a business processing model for reliable and convenient use by users.

S390. Compile the service processing model according to the service basic system information.

Wherein, the service basic system information may be understood as the corresponding service basic system information of different running operating systems.

In this embodiment, the business processing model can be compiled according to the basic business system information. For different business basic system information, the commands when compiling the business processing model are also different. Exemplarily, the corresponding business basic system information in the windows operating system can use cmd to execute commands to compile related business processing models; and the corresponding business basic system information in the linux operating system can use sh to execute commands to compile related business processing models. There is no limitation here.

S3100. Publish the service processing model by using the model configuration parameters.

In this embodiment, after the business processing model is compiled according to the information of the business basic system, the obtained business processing model can be released using model configuration parameters, so that it can run in different business basic systems and realize corresponding execution functions.

In this embodiment, the method of publishing the business processing model by using the model configuration parameters may be as follows: firstly submit the public dependency package generated by compiling the business processing model to the distributed file system, then identify the computing framework in the model configuration parameters, and follow the calculation framework instance Submit the task manager, and use the task submission manager to process the public dependency package to realize the release of the business processing model; it can also be: firstly use the module to be compiled in the target project as the target module, and determine the operating mode of the target module, and then Obtain the configuration file of the target module in the independent operation mode, and then obtain the target configuration file of the target module in the integrated operation mode, and use the target configuration file to compile and publish the target module, which is not limited in this embodiment.

In the technical solution provided by the embodiment of this application, by monitoring the business demand information input by the user on the business demand collection page, the business demand information is filled into the description file template according to its type to generate a model description file, and the pre-matched model description file is matched in the model description file. Set the keyword of the label, and extract the parameter information after the keyword as the model configuration parameter corresponding to the keyword, generate the basic project file according to the model information of the model configuration parameter, detect the operating system of the business processing model and determine the corresponding operating system According to the business basic system information, select the matching model processing file according to the business basic system information, and fill the model configuration parameters into the model processing file according to the type to generate a business processing model. In the embodiment of the present application, by filling the business requirement information into the description file template according to the type to generate the model description file, the automatic generation of the business processing model is realized, the matching model processing file is selected according to the business basic system information, and the model configuration parameters are classified according to the Fill in the model processing file to generate a business processing model, reduce the time cost of model development, reduce the code redundancy of the business model, and improve business processing efficiency to a certain extent.

Optionally, use the model configuration parameters to publish the business processing model, including: submitting the public dependency package generated by compiling the business processing model to the distributed file system; identifying the computing framework in the model configuration parameters, and instantiating the task submission manager according to the computing framework ; Use the task submission manager to process the public dependency package to realize the release of the business processing model.

Among them, the public dependency package can be understood as a shared package file generated by compiling the business processing model. Common dependencies can represent a package file format. Exemplarily, the public dependency package may be a jar package. A distributed file system can be understood as a highly fault-tolerant system. The characteristic of the distributed file system is that it can provide high-throughput data access, which is very suitable for applications on large-scale data sets. The calculation framework may be a calculation framework such as spark or flink, which is not limited in this embodiment.

In this embodiment, the public dependency package generated by compiling the business processing model is submitted to the distributed file system. It is necessary to detect and identify the computing framework in the model configuration parameters. In computing frameworks such as spark and flink, follow the example of the computing framework Customized task submission manager. Among them, the submission task can be divided into two types, one is to submit the public dependency package when the task is submitted, and the other is to submit the public dependency package to the distributed file system first, and then each time the task is submitted, only Submit the incremental content, because the public dependency packages are generally large, and if the task is submitted every time the task is executed, the task startup speed will be very low.

In this embodiment, by submitting the public dependency package generated by compiling the business processing model to the distributed file system, the computing framework in the model configuration parameters is detected and identified, and on the premise that the computing framework is determined, the task is submitted and managed according to the instantiation of the computing framework After instantiating the task submission manager, use the task submission manager to process the public dependency package to realize the release of the business processing model, and publish the business processing model to the system for users to download and use.

Embodiment Three

FIG. 4 is a flow chart of a method for generating a service processing model provided in Embodiment 3 of the present application. As shown in FIG. 4 , the business process model generation method in this embodiment mainly includes a model file analysis engine and code generation technology, model compilation control technology, and task submission control technology.

The first is to design the model, then define parameter information according to the model, configure parsing parameter rules, configure platform as a service (Platform as a Service, Paas) component connection operator, configure operation operator, configure output Paas connection component operator, and form a preview model, and compile the model, publish the compiled model, configure model operating parameters, and form an operating model.

The following will introduce the model file parsing engine and code generation technology, model compilation control technology and task submission control technology in more detail.

1) Model file analysis and code generation technology:

Model file analysis and code generation technology, in the model file, is composed of three parts: input, operation, and output. For example, input part of the code: <model framework="spark" type="batch" name="testabsd"><! -- data entry -->. Among them, model framework represents the model framework, spark represents the specific parameters of the framework; type represents the type, batch represents the specific parameters of the type; name represents the name, and testabsd represents the specific parameters of the name.

The model file parsing engine implements model configuration file parsing, extracts the content of the model file and transforms it into a structural object, extracts the content of the operator, and transfers it to the operator for parsing and generating code.

FIG. 5 is a flow chart of another method for generating a service processing model provided in Embodiment 3 of the present application. Both the <model> tag and the <inputs> tag represent default tags. As shown in Figure 5, the business processing model generation method in this embodiment includes the following steps:

a1. Generate a model description file according to the collected business requirement information. Here, the generated model description file is Model Document in XML format, and the structural information is extracted.

a2. After the model engine receives the model file, it first parses and loads the model engine file, extracts the attribute information in the <model> tag, and extracts information such as computing framework type, model type (both streaming and offline), and model name.

a3. Analyze the content in the <inputs> tag to obtain all input operator configuration information (the model engine adopts a microkernel architecture design), cycle through input operators in turn, and obtain operator instance objects based on operator names. The model engine transfers the current part of the operator configuration content to the operator object to parse the file content to generate a configuration object, and the model engine realizes code generation through the configuration object. At the same time, the same control implementation mechanism is adopted for the operation operator and the output operator.

a4. Process operator configuration and generate code, and generate tail class information.

Through the analysis and control of the model file, the source code based on different computing frameworks is finally generated.

2) Model compilation control technology:

FIG. 6 is a flow chart of another method for generating a service processing model provided in Embodiment 3 of the present application. Among them, maven represents the basic project file. As shown in Figure 6, the business processing model generation method in this embodiment includes the following steps:

After the source code is generated, code compilation is required. Based on the consideration of distributed mode, maven is finally used as the project management tool and the mvn command is used to compile the source code. The flow is as follows:

b1. First, copy the complete maven template project to the specified directory, and revise the template name according to the model definition name. In order to ensure that repeated compilation of the model operation will cause secondary problems, here is the method of deleting the last compiled model.

b2. Copy the generated java file to the model source code directory, and import all directly dependent jar packages in the project into the pom.xml file.

b3. With different operating systems, the compilation commands are also different. For example, the cmd command is used in the windows system, and the sh command is used in the linux operating system.

b4. According to the detection of the operating system, the compilation and execution instructions are dynamically selected.

b5. Executing the compiling operation and executing the command to compile the code.

3) Task submission control technology:

FIG. 7 is a flow chart of another method for generating a service processing model provided in Embodiment 3 of the present application. Wherein, the public jar package represents a public dependency package. As shown in Figure 7, the business processing model generation method in this embodiment includes the following steps:

c1. First, submit the public jar package that the compiled model depends on to the distributed file system (Hadoop Distributed File System, hdfs). In computing frameworks such as spark and flink, the submitted tasks are divided into two types. The first type is Submit the public dependency package when submitting the task. Another way is to submit the public dependency package to hdfs first. When submitting each task, only submit the incremental content. The public dependency package is generally very large. If you execute it every time If the task is submitted again, the task startup speed will be very low.

c2. Detect the computing framework, mainly to identify whether the computing framework is flink or spark, and select the task submission manager of the specific framework under the premise of determining the computing framework.

c3. According to the calculation framework detection, instantiate a specific task submission manager (spark and flink submit task managers are completely different).

c4. After instantiating the task submission manager, call the manager method to formally submit the task. Use the task submission manager to process the public dependency package to realize the release of the business processing model.

Embodiment four

FIG. 8 is a schematic structural diagram of an apparatus for generating a service processing model provided in Embodiment 4 of the present application. The device for generating a business processing model provided in this embodiment may be realized by software and/or hardware, and may be configured in a server to implement a method for generating a business processing model in the embodiment of the present application. As shown in FIG. 8 , the device may include: a requirement collection module 810 , a parameter identification module 820 and a model generation module 830 .

Wherein, the requirement collection module 810 is configured to generate a model description file according to the collected business requirement information.

The parameter identification module 820 is configured to extract the model configuration parameters in the model description file according to preset tags.

The model generation module 830 is configured to select a model processing file to form a business processing model according to the model configuration parameters and business basic system information.

In the technical solution provided by the embodiment of the present application, firstly, the requirement collection module generates a model description file according to the collected business requirement information, uses the parameter identification module to extract the model configuration parameters in the model description file according to the preset label, and uses the model generation module according to Model configuration parameters and business basic system information selection model processing files constitute a business processing model. In the embodiment of this application, by using the preset tags to parse the model description file, the model configuration parameters used in the generation of the business processing model can be accurately obtained, so that the automatic generation of the business processing model can be realized, and the business processing model can be constructed using the model processing file, reducing the number of business processing models The degree of repeated development in the generation process can reduce the degree of code redundancy and reduce the time cost of model development to a certain extent, thereby improving the efficiency of business processing.

Optionally, on the basis of the foregoing embodiments, the requirement collection module 810 may include:

The information input unit is configured to monitor the business demand information input by the user on the business demand collection page.

The file generation unit is configured to fill the description file template with the business requirement information according to its type to generate a model description file.

Optionally, on the basis of the foregoing embodiments, the parameter identification module 820 may include:

A keyword matching unit is configured to match keywords of the preset tags in the model description file.

The parameter extraction unit is configured to extract the parameter information after the keyword as a model configuration parameter of the type corresponding to the keyword.

Optionally, the types corresponding to the keywords at least include: model, input, output, and operator.

Optionally, on the basis of the above embodiments, the model generation module 830 may include: a project file generation unit configured to generate a basic project file according to the model information of the model configuration parameters.

The information determining unit is configured to detect the running operating system of the business processing model and determine the business basic system information corresponding to the running operating system.

The processing file matching unit is configured to select a matching model processing file according to the business basic system information.

A model generation unit configured to fill the model configuration parameters into the model processing file according to type to generate the business processing model.

Optionally, the device for generating a business processing model further includes:

The model compiling module is configured to compile the business processing model according to the business basic system information.

A model publishing module, configured to use the model configuration parameters to publish the business processing model.

Optionally, the model publishing module also includes:

The system submission unit is configured to submit the public dependency package generated by compiling the business processing model to the distributed file system.

The computing framework identifying unit is configured to identify the computing framework in the model configuration parameters, and instantiate the task submission manager according to the computing framework.

The release implementation unit is configured to use the task submission manager to process the public dependency package to implement the release of the business processing model.

A service processing model generating device provided in an embodiment of the present application can execute a service processing model generating method provided in any embodiment of the present application, and has corresponding functional modules for executing the method.

Embodiment five

FIG. 9 is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present application. As shown in FIG. 9, the device includes a processor 910, a memory 920, an input device 930, and an output device 940; the number of processors 910 in the device can be It is at least one. In FIG. 9, a processor 910 is taken as an example; the processor 910, memory 920, input device 930, and output device 940 in the device can be connected through a bus or in other ways. In FIG. 9, a bus connection is used as an example.

The memory 920, as a computer-readable storage medium, is configured to store software programs, computer-executable programs and modules, such as program instructions/modules corresponding to a business processing model generation method in the embodiment of the present application (for example, a business Process the requirement acquisition module 810, the parameter identification module 820 and the model generation module 830 in the model generation device.). The processor 910 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 920, that is, implements the above-mentioned method for generating a service processing model.

The memory 920 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the terminal, and the like. In addition, the memory 920 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices. In some examples, memory 920 may include memory located remotely from processor 910, which remote memory may be connected to the device via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 930 is configured to receive input numbers or character information, and generate key signal input related to user settings and function control of the device. The output device 940 may include a display device such as a display screen.

Embodiment six

Embodiment 6 of the present application also provides a storage medium containing computer-executable instructions, the computer-executable instructions are used to execute a method for generating a business processing model when executed by a computer processor, and the method includes:

Generate a model description file based on the collected business requirement information;

Extracting the model configuration parameters in the model description file according to the preset tags;

A model processing file is selected according to the model configuration parameters and business basic system information to form a business processing model.

Of course, the storage medium containing computer-executable instructions provided in the embodiments of the present application, the computer-executable instructions are not limited to the method operations described above, and can also execute a business processing model provided in any embodiment of the present application Generate related operations in the method.

Through the above descriptions about the implementation manners, those skilled in the art can clearly understand that the present application can be realized by software and necessary general-purpose hardware, and of course it can also be realized by hardware. Based on this understanding, the essence of the technical solution of this application or the part that contributes to the related technology can be embodied in the form of software products, and the computer software products can be stored in computer-readable storage media, such as computer floppy disks, Read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), flash memory (FLASH), hard disk or optical disc, etc., including several instructions to make a computer device (which can be a personal computer, A server, or a network device, etc.) executes the methods described in various embodiments of the present application.

It should be noted that, in the above embodiment of the business processing model generation device, the included units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition , the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present application.

Claims (10)

1. A method for generating a business processing model, comprising:

   Generate a model description file based on the collected business requirement information;

   Extracting the model configuration parameters in the model description file according to the preset tags;

   A model processing file is selected according to the model configuration parameters and business basic system information to form a business processing model.
2. The method according to claim 1, wherein said generating a model description file according to the collected business requirement information comprises:

   Monitor the business demand information input by the user on the business demand collection page;

   The business requirement information is filled into the description file template according to its type to generate a model description file.
3. The method according to claim 1, wherein said extracting the model configuration parameters in the model description file according to the preset label comprises:

   matching keywords of the preset tags in the model description file;

   The parameter information after the keyword is extracted is used as the model configuration parameter of the type corresponding to the keyword.
4. The method according to claim 3, wherein the corresponding types of keywords at least include: model, input, output, and operator.
5. The method according to claim 1, wherein said selecting a model processing file according to said model configuration parameters and business basic system information constitutes a business processing model, comprising:

   Generate a basic engineering file according to the model information of the model configuration parameters;

   Detecting the running operating system of the business processing model and determining the business basic system information corresponding to the running operating system;

   Select a matching model to process the file according to the business basic system information;

   Filling the model configuration parameters into the model processing file according to type to generate the business processing model.
6. The method according to claim 1, further comprising:

   compiling the business processing model according to the business basic system information;

   Publishing the business processing model using the model configuration parameters.
7. The method according to claim 6, wherein said publishing said service processing model using said model configuration parameters comprises:

   Submitting the public dependency package generated by compiling the business processing model to the distributed file system;

   Identify the computing framework in the model configuration parameters, and instantiate a task submission manager according to the computing framework;

   Using the task submission manager to process the public dependency package to implement the release of the business processing model.
8. A business processing model generation device, comprising:

   The requirement collection module is configured to generate a model description file according to the collected business requirement information;

   The parameter identification module is configured to extract the model configuration parameters in the model description file according to the preset tags;

   The model generation module is configured to select a model processing file to form a business processing model according to the model configuration parameters and business basic system information.
9. An electronic device comprising:

   at least one processor;

   a memory configured to store at least one program,

   When the at least one program is executed by the at least one processor, the at least one processor is made to implement the service processing model generation method according to any one of claims 1-7.
10. A computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the service processing model generation method according to any one of claims 1-7 is realized.

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