WO2012051844A1

WO2012051844A1 - Intelligent network platform, method for executing services and method for analyzing service abnormity

Info

Publication number: WO2012051844A1
Application number: PCT/CN2011/073321
Authority: WO
Inventors: 舒畅; 童遥; 刘昕宇
Original assignee: 中兴通讯股份有限公司
Priority date: 2010-10-21
Filing date: 2011-04-26
Publication date: 2012-04-26
Also published as: CN101980546A; CN101980546B

Abstract

An intelligent network platform, a method for executing services and a method for analyzing service abnormity are disclosed in the present invention. The intelligent network platform includes: a service creation module, configured to create scripts corresponding to service logics of each intelligent network service; a service processing module, configured to execute a triggered intelligent network service and output the result according to calling parameters of a call and the script corresponding to the service logic of the triggered intelligent network service, when the call triggers the intelligent network service. With the technical solution in the present invention, the complexity of services is greatly reduced, the readability of services is improved and the service logic structure is clearer.

Description

Intelligent network platform, business execution method and

TECHNICAL FIELD The present invention relates to the field of communications, and in particular to an intelligent network platform, a service execution method, and a method for analyzing a service abnormality. BACKGROUND In an intelligent network architecture, a service is composed of a plurality of basic Service Independence Blocks (SIBs), and various combinations thereof can form various business functions, and thus are widely used. Applications. However, as business logic becomes more complex, the number of SIBs in the business grows endlessly, making the structure and readability of the business worse and worse. Moreover, such a complex SIB is related to the business and is not conducive to parallel development, which often greatly extends the development cycle of a business. SUMMARY OF THE INVENTION A primary object of the present invention is to provide an intelligent network platform, a service execution method, and a method for analyzing a service anomaly to solve at least one of the above problems. According to an aspect of the present invention, an intelligent network platform is provided, including: a service generation module, configured to generate a script corresponding to a service logic of each intelligent network service; a service processing module, configured to be in a call triggered intelligent network During the service, the triggered intelligent network service is executed according to the script corresponding to the business logic of the triggered intelligent network service and the call parameters of the call, and the result is output. The service processing module includes: a service logic processing unit, configured to send a script corresponding to the service logic of the triggered intelligent network service generated by the service generation module, and derive a call parameter; a compiler engine syntax parsing unit, configured to receive the service logic processing a script corresponding to the business logic of the triggered intelligent network service sent by the unit, and parsing a script corresponding to the business logic of the triggered intelligent network service; a script logic processing unit, configured to be exported to the business logic processing unit The call parameter performs interpretation execution of the script, and outputs a result of executing the triggered intelligent network service; the syntax parsing execution unit is configured to interpret the executed call parameter according to the script logic processing unit, and obtain a syntax tree relationship obtained by the compiler engine syntax parsing unit Interpret execution during the call. The above-mentioned compiling engine syntax parsing unit comprises: a lexical analysis subunit, configured to scan a script corresponding to the business logic of the triggered intelligent network service to generate a word sequence; the grammar analysis subunit is set to perform lexical analysis on the word sequence, Get the syntax tree; the node analysis subunit, set to analyze the nested execution relationship of the syntax tree and send it to the parsing execution unit. The above lexical analysis subunit is a Lex lexical analysis subunit, and the grammar analysis subunit is a yacc grammar analysis subunit. The script logic processing unit includes: a pre-processing sub-unit configured to associate the service running state of the intelligent network call and the content in the call data area with the compiled I engine syntax parsing unit, and provide an environment variable and an initial value of the syntax execution, wherein The call parameters include: the service running status and the content in the call data area; the result is returned to the subunit, and is set to output the result of executing the triggered intelligent network service. The above script is written in C-like language. According to another aspect of the present invention, a service execution method is provided, which is applied to an intelligent network platform, including: an intelligent network platform generates a script corresponding to a service logic of each intelligent network service; when a call triggers an intelligent network service, the smart The network platform executes the triggered intelligent network service and outputs the result according to the script corresponding to the business logic of the triggered intelligent network service and the call parameter of the call. The intelligent network platform includes: a service processing module and a service generation module, where the intelligent network platform executes the triggered intelligent network service and returns a result, where the service processing module corresponds to the service logic of the triggered intelligent network service generated by the service generation module. The script performs syntax analysis and performs script interpretation execution on the call parameters. The service processing module interprets and executes the syntax tree relationship obtained after parsing according to the call parameters after the execution of the execution, and outputs the executed intelligent network service. result. According to still another aspect of the present invention, a method for analyzing a service anomaly using the foregoing intelligent network platform is provided, including: reserving one or more script compiling nodes as a probe entry when locating a problem when editing a service; When the business is abnormal, write a script for obtaining the business operation parameters of the specified number; load the script into the running business by managing the data; when the call arrives at the script compiling node as the probe entry, execute the script to obtain The business operation parameter of the specified number. The above script for obtaining the service running parameter of the specified number includes: a call matching script, configured to match a call according to the service key, the calling number or the called number; the parameter tracking script is set to record the service running parameter of the specified number To the log. Through the invention, the script compilation technology is combined with the intelligent network platform, and the script SIB is used to replace a series of complex business logics, and a script compilation scheme suitable for the intelligent network platform is proposed, which solves the structure and service of the service. The problem of poor readability, in turn, reduces the complexity of the business, improves the readability of the business, and makes the architecture of the business logic more clear. BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are set to illustrate,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 1 is a schematic structural diagram of an intelligent network platform according to an embodiment of the present invention; FIG. 2 is a schematic structural diagram of an intelligent network platform according to a preferred embodiment of the present invention; FIG. 3 is a service execution method according to an embodiment of the present invention; Figure 4 is a logic diagram of a service execution method according to a preferred embodiment of the present invention; Figure 5 is a flow chart of a service anomaly analysis method according to an embodiment of the present invention; Figure 6 is a service exception in a preferred embodiment of the present invention A schematic diagram of the analysis method. BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict. FIG. 1 is a schematic structural diagram of an intelligent network platform according to an embodiment of the present invention. As shown in FIG. 1 , an intelligent network platform according to an embodiment of the present invention includes: a Service Creation Environment (SCE) 12 configured to generate a script corresponding to the business logic of each intelligent network service. The service processing module 14 is configured to execute the triggered intelligent network service and output the result according to the script corresponding to the service logic of the triggered intelligent network service and the call parameter of the call when the call triggers the intelligent network service. Through the above intelligent network platform, use scripts to replace a complex industry when developing business logic The logic generates the business file to load on the intelligent network platform. When processing the corresponding service, the corresponding independent service function block (SIB) can be directly implemented by script and embedded in the business logic, and the service function block can be easily replaced and reused. , will greatly reduce the complexity of the business, improve the readability of the business, and make the structure of the business logic more clear. Moreover, έρ has its unique characteristics of temporary variable scope, and the implementation of the scope of such variables in SIB as a unit business logic is very difficult. The script compilation function makes it easy to perform functions that were difficult to implement in the original smart business. Preferably, as shown in FIG. 2, the service processing module 14 may further include: a Service Logic Point (SLP) 142, configured to send the service logic of the triggered intelligent network service generated by the service generation module 12. Corresponding scripts, and export call parameters. The compiling engine syntax parsing unit 144 is configured to receive a script corresponding to the service logic of the triggered intelligent network service sent by the service logic processing unit 142, and perform syntax analysis on the script corresponding to the business logic of the triggered intelligent network service. The logic processing unit 146 is configured to perform script interpretation execution on the call parameters derived by the service logic processing unit 142, and output a result of executing the triggered intelligent network service. The syntax parsing execution unit 148 is configured to interpret the executed call parameters by the local logic processing unit 146, and interpret the syntax tree relationship obtained by the compiling engine syntax parsing unit 144 in the call. The foregoing service processing module 14 can be considered as a script compiling system, which is connected to the service generating module 12, including but not limited to the above four units, wherein the service logic processing unit 142, and the service generating module 12 and the έρ本The logic processing unit 146 is connected, and is responsible for distinguishing the business logic generated by the service generation module 10 into the compiling engine syntax parsing unit 144 for parsing, and controlling and managing the call at the same time. When the user calls the script compiling function, the corresponding The call parameter import script logic processing unit 146 performs interpretation execution of the script. The compilation engine syntax parsing unit ₁₄ 4 is responsible for converting the business logic of the service generation module 12 into the data format required for the internal operation of the business processing module 14. The script logic processing unit 146 is responsible for decomposing the above call parameters and the compile engine syntax. 144 is associated, and finally outputs the execution result for the entire intelligent network service. The syntax parsing execution unit 148 is connected to the logical processing unit 146 and the compiling engine syntax parsing unit 144, and is responsible for interpreting and executing the syntax tree relationship obtained by the compiling engine syntax parsing unit 144 in the current call instance. The above preferred embodiment will be described in detail below with reference to FIG. As shown in FIG. 2, when a call triggers an intelligent network service, the business logic processing unit 142 analyzes the script and related call parameters that are currently needed to be used. The business logic processing unit 142 sends the script to the compilation engine syntax parsing unit 144 for parsing of the syntax tree. It should be noted that the syntax compilation of a script in a call is only performed once. When the script is called multiple times, it directly enters the parsing execution part without repeating the parsing. The business logic processing unit 142 sends the analyzed related call parameters into the script logic processing unit 146, and the script logic processing unit 146 constructs a symbol list to save and manage it, and the syntax parsing execution will match the search from the symbol list. Get the environment variables and initial values at compile time. The symbol list is constructed by using a linked list, and a hash index is used for matching lookup to improve query efficiency at execution time. Finally, the current SIB parsed syntax relation tree and the symbol list of the current call are sent to the parsing execution unit 148 to obtain the expected execution result. The business logic consisting of SIBs can be replaced by script equivalents. After the complex SIB logic and scripts are converted to each other, the executable code of the same function is finally generated through different interfaces, which greatly enriches the business development. the way. Preferably, as shown in FIG. 2, the compiling engine syntax parsing unit 144 may further include: a lexical analysis subunit 1442 configured to scan a script corresponding to the business logic of the triggered intelligent network service to generate a sequence of words. A grammar analysis sub-unit 1444 is provided for lexical analysis of the above-described word sequence to obtain a syntax tree. The node analysis sub-unit 1446 is configured to analyze the nested execution relationship of the syntax tree described above and send it to the parsing execution unit 148. In the above-described compiling engine syntax parsing unit 144, the lexical analysis sub-unit 1442 is responsible for scanning the source program to generate a sequence of words for syntactic analysis, and the program for performing lexical analysis is called a lexical analysis program or a scanning program; grammar analysis The subunit 1444 is connected to the lexical analysis subunit 1442, and is capable of generating a lexical analysis program according to a rule specified by the user; the node analysis subunit 1446 is connected to the grammar analysis subunit 1444, and is responsible for analyzing the nested execution relationship of the syntax tree and sending it to The parsing execution unit 148 performs the interpretation of the script for the call as needed. The compilation process is actually a process of converting from a high-level language to a pre-level language, which eventually becomes a identifiable part of the object code. The runtime generates the results of the run from the initial data through the object code. The task of compiling the program from the beginning of the input source to the generation of the target code is a very complicated process. Generally divided into: lexical analysis, parsing, intermediate code generation, optimization and object code generation. Preferably, the lexical analysis sub-unit 1442 may be a Lex lexical analysis sub-unit, and the grammar analysis sub-unit 1446 may be a yacc grammar analysis sub-unit. In the preferred implementation process, the compiler used is a C-like compiler based on the yacc/lex architecture. The yacc/lex C compiler is implemented according to the mathematical principle of syntax analysis. Scalability and compatibility. Both are very good, and the implementation is very convenient. It is an excellent implementation method. The real power of lex/yacc lies in their ability to combine with C. They are free to use external C language defined functions. In fact, since lex/yacc is only an intermediate result, they eventually have to generate C code, so there is no problem with using an external C language library. The compiled engine source code is implemented by C language, has strong portability, can be compiled on various types of machines, and is well embedded in the C language development environment of the intelligent network platform. In the Lex source program, the regular expression-based schema description is organized with the lexical analyzer's actions to be completed, and the output is a C-language program of the lexical analyzer. Yacc recognizes LALR(l) and has an unambiguous grammar whose input is the output of the lexer. The syntax supported by the above compilation system is as follows: Supported keywords:

NULL if then else while do return switch case default break continue for exit Supported operators:

&&

I

&

< > <= >= + - * / %

++—! ~ The priority level increases from top to bottom. Basic syntax: atoi itoanextsib strlen strcpy strcat strtok strops substr strcmp toupper tolower ltrim rtrim script sib has three types of data types in SCE:

The criteria for judging the compatibility of the NUMBER TYPE, STRING TYPE, and OTHER TYPE operands are determined according to the three major classes. Preferably, as shown in FIG. 2, the script logic processing unit 146 may further include: a pre-processing sub-unit 1462 And arranging to associate the service running state of the intelligent network call and the content in the call data area with the compiling engine syntax parsing unit 144, and providing an environment variable and an initial value of the grammar execution, where the call parameter includes: the service running Status and content in the call data area. The result is returned to sub-unit 1464, which is set to output the result of executing the triggered intelligent network service. In the above-mentioned script logic processing unit 146, the pre-processing sub-unit 1462 associates the service running status of the intelligent network call, the content in the call data area with the compiling engine, and provides the environment variables and initial values of the grammar execution, which are: The processing unit 142 sends the analyzed related call parameters into the pre-processing sub-unit 1462. The pre-processing sub-unit 1462 constructs a symbol list (the symbol list is constructed by using a linked list, and the hash index is used for matching search). For saving and management, the parsing execution will retrieve the compile-time environment variables and initial values from the symbol list; the result return sub-unit 1464 is responsible for outputting the final result of the triggered smart network service by the parsing execution unit 148. Preferably, all of the above scripts can be written in a C-like language (eg, C language, C++, etc.). In view of the good portability and operational efficiency of the C language, the intelligent network platform usually uses the C language as the main language development environment. Therefore, the present invention also preferentially selects the c-like language, which facilitates the development and integration of services. As a kind of extensible tool, C-class script compiler has been widely used in intelligent network projects. It encapsulates complex business logic in SIB development. It can insert tracking nodes arbitrarily during problem tracking to achieve targeted tracking. effect. It has a positive role in promoting the development of intelligent network platforms. 3 is a flow chart of a method of performing a service according to an embodiment of the present invention. As shown in FIG. 3, the service execution method according to the embodiment of the present invention includes: Step S302: The intelligent network platform generates a script corresponding to the service logic of each intelligent network service. Step S304: When a call triggers the intelligent network service, the intelligent network platform is in the script corresponding to the service logic of the triggered intelligent network service and the call parameter of the call, and the triggered intelligent network service is executed and the result is output. Through the above method, when developing business logic, a script is used to replace a series of complex business logic to generate business files, and the loaded intelligent network platform greatly reduces the complexity of the business, improves the readability of the business, and enables the business. The logical architecture has become clearer. Preferably, the foregoing intelligent network platform may include: a service processing module and a service generation module, where the step S304 may further include: (1) The service processing module parses the script corresponding to the business logic of the triggered intelligent network service generated by the service generation module, and performs script interpretation and execution on the call parameters.

(2) The service processing module interprets and executes the syntax tree relationship obtained after parsing in the call according to the call parameters after the execution of the interpretation, and outputs the result of executing the triggered intelligent network service. The above preferred embodiment will be described below in conjunction with FIG. 4 is a logic diagram of a method of performing a service in accordance with a preferred embodiment of the present invention. As shown in Figure 4, the use of scripts instead of complex business logic eliminates the need to use custom SIB functional units that correspond to complex business logic. Then use the C-like script compiler (equivalent to the above business processing module) to compile, interpret, and execute the script to get the expected results. The present invention also provides a service anomaly analysis method for the above intelligent network platform. FIG. 5 is a flowchart of a method for analyzing an abnormality of a service according to an embodiment of the present invention. As shown in FIG. 5, the service abnormality analysis method according to the embodiment of the present invention includes: Step S502: Reserve one or more script compilation nodes as probe entries when locating a problem when editing a service. Step S504: When it is found that the service is abnormal, write a script for acquiring a service running parameter of the specified number. Step S506, loading the script into the running service by using management data. Step S508, when the call arrives at the script compiling node as the probe entry, the script is executed to obtain the service running parameter of the specified number. In the past, when locating business process problems, maintenance personnel want to obtain relevant information about the business operation. It is necessary to log the key variables during the business development stage, which not only greatly increases the business development cycle, but also makes it difficult to fully cover. This leads to the re-creation of targeted business versions to track problems after the problem is discovered. Inevitably, it involves the upgrade operation of the business and affects other online user calls. The above-mentioned method can be used to obtain any parameter information related to the call through the probe node reserved by the service development. The loading of the management data can eliminate the trouble of service upgrade and does not affect the normal call of other users of the service. Preferably, the foregoing script for acquiring the service running parameter of the specified number may include: The call matching script is set to match a call based on the service key, calling number, or called number. The parameter tracking script is set to record the business operation parameters of the specified number into the log. As shown in Figure 6, the above script structure can be used to match a call, and finally the required operational parameters are logged for the business developer to analyze the business anomaly. From the above description, it can be seen that the solution provided by the present invention can enable the intelligent network service to implement complex business logic through simple script editing, so that the fixed intelligent network service can be flexibly changed, and at the same time, the intelligent network can be made. Business development has become more flexible and diverse, providing business operators with greater operational space and easier maintenance. By using the intelligent network platform of the invention, the intelligent network can more flexibly respond to the ever-changing needs of the outside world, and has rich application scenarios and good application prospects. Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein. The steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps are fabricated as a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software. The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the scope of the present invention are intended to be included within the scope of the present invention.

Claims

Claim

1. An intelligent network platform, including:

The service generation module is configured to generate a script corresponding to the business logic of each intelligent network service;

The service processing module is configured to: when the call triggers the intelligent network service, execute the triggered intelligent network service according to the script corresponding to the service logic of the triggered intelligent network service and the call parameter of the call Output the result.

The intelligent network platform according to claim 1, wherein the service processing module comprises: a service logic processing unit, configured to send a service logic corresponding to the triggered intelligent network service generated by the service generation module a script, and exporting the call parameter; a compiling engine syntax parsing unit, configured to receive a script corresponding to the business logic of the triggered intelligent network service sent by the service logic processing unit, and to trigger the triggered The script corresponding to the business logic of the intelligent network service performs syntax analysis;

The logic processing unit is configured to perform script interpretation execution on the call parameter derived by the service logic processing unit, and output a result of executing the triggered intelligent network service;

The syntax parsing execution unit is configured to interpret the executed call parameters according to the script logic processing unit, and interpret the syntax tree relationship obtained by the compiling engine syntax parsing unit in the call.

The intelligent network platform according to claim 2, wherein the compiling engine syntax parsing unit comprises:

a lexical analysis subunit, configured to scan a script corresponding to the business logic of the triggered intelligent network service to generate a sequence of words;

A grammar analysis subunit, configured to perform lexical analysis on the sequence of words to obtain a grammar tree;

A node analysis subunit, configured to analyze a nested execution relationship of the syntax tree and send to the parsing execution unit.

4. The intelligent network platform according to claim 3, wherein the lexical analysis subunit is a Lex lexical analysis subunit, and the grammar analysis subunit is a yacc grammar analysis subunit.

The intelligent network platform according to claim 2, wherein the script logic processing unit comprises: a pre-processing sub-unit, configured to set a service running state of the intelligent network call and content in the call data area with the The compiling engine syntax parsing unit performs association, and provides an environment variable and an initial value of the syntax execution, where the call parameter includes: the service running status and the content in the call data area;

The result is returned to the subunit, which is set to output the result of executing the triggered intelligent network service.

The intelligent network platform according to any one of claims 1 to 5, wherein the script is written in a C-like language.

A service execution method, applied to an intelligent network platform, the method comprising:

The intelligent network platform generates a script corresponding to the service logic of each intelligent network service; when a call triggers the intelligent network service, the intelligent network platform refers to the script corresponding to the service logic of the triggered intelligent network service. The call parameter of the call performs the triggered intelligent network service and outputs a result.

The method of claim 7, wherein the intelligent network platform comprises: a service processing module and a service generation module, wherein the intelligent network platform executes the triggered intelligent network service and returns a result comprising:

The service processing module performs syntax analysis on a script corresponding to the service logic of the triggered intelligent network service generated by the service generation module, and performs script interpretation on the call parameter;

And the service processing module interprets and executes the syntax tree relationship obtained by the grammar analysis in the call according to the call parameter after the execution of the interpretation, and outputs a result of executing the triggered intelligent network service.

9. A method of analyzing a service anomaly using the intelligent network platform of any one of claims 1 to 5, comprising:

Reserve one or more script compilation nodes as probe entry points when locating the problem when editing the business; When the service is found to be abnormal, a script for obtaining a service running parameter of the specified number is written;

The script is loaded into the running service by management data; when the call arrives at the script compiling node, the script is executed to obtain the service running parameter of the specified number.

10. The method according to claim 9, wherein the script for acquiring a service running parameter of a specified number comprises:

The call matching script is set to match to a call according to the service key, the calling number or the called number. The parameter tracking script is set to record the service running parameters of the specified number into the log.