CN112488552B - Construction method, system, electronic equipment and storage medium of business index - Google Patents
Construction method, system, electronic equipment and storage medium of business index Download PDFInfo
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Abstract
The present application relates to the field of big data processing, and in particular, to a method, a system, an electronic device, and a storage medium for constructing a business index. The method comprises the following steps: a service demand acquisition step, wherein an application layer analyzes and outputs service index demands to an engine layer according to the demands; and a business index construction step, wherein the engine layer completes construction of the business index corresponding to the business index requirement according to the business index requirement and in combination with a preset rule defined by the business index. By constructing an engine layer, providing one-stop index statistical service in a tooled form, supporting the statistical demands of a plurality of business indexes upwards, the application side can quickly realize index statistical logic by completing corresponding index logic configuration in the engine layer based on the business demands, and calling corresponding interfaces to obtain data results, so that corresponding result display is realized in application, and the secondary development and improvement efficiency of index designers is effectively improved.
Description
Technical Field
The present application relates to the field of big data processing, and in particular, to a method, a system, an electronic device, and a storage medium for constructing a business index.
Background
The informatization system of a large number of government affairs trades has accumulated a large amount of data in aspects such as civil service, optimization camp business, and each commission office of the government affairs trades needs to carry out statistical analysis to the historical data that accumulates. If no index is used for carrying out systematic measurement on the service, the control service cannot be developed, the service quality cannot be measured, and especially a plurality of businesses are parallel at present, and single data index measurement is likely to be on one side. Therefore, an index system of the system needs to be built, the service development condition is comprehensively measured, and the service orderly growth is promoted.
In practical application, in the process of data analysis and visualization, different operators can see different indexes in analysis of a certain dimension, even the same indexes are inconsistent in a calculation model, in analysis and visualization of a certain dimension, in order to enable a user to know different index calculation modes, a designer is required to write a service rule description, the index designer is required to conduct secondary development and improvement according to actual service requirements, and the workload is high.
At present, no effective solution is proposed for the technical problems of secondary development and improved efficiency of the improvement index designer in the related art.
Disclosure of Invention
The embodiment of the application provides a construction method, a construction system, electronic equipment and a storage medium of a business index, which provide result display of business requirements for top-level application of government industry, so as to at least solve the problem of improving secondary development and improved efficiency of index designers in related technologies.
In a first aspect, an embodiment of the present application provides a method for constructing a service indicator, including:
A service demand acquisition step, wherein an application layer analyzes and outputs service index demands to an engine layer according to the demands;
and a business index construction step, wherein the engine layer completes construction of the business index corresponding to the business index requirement according to the business index requirement and in combination with a rule defined by a preset business index.
In some embodiments, the service requirement obtaining step specifically includes:
A resource acquisition step, wherein the application layer acquires and outputs data resources required by meeting the requirements by adopting a voice recognition technology according to the performance assessment requirements;
And a demand forming step, wherein the data resource is searched in a database, and the demand is converted into the corresponding business index demand according to the searched data resource and is issued to the engine layer.
In some embodiments, the service indicator construction step specifically includes:
rule making step, presetting the rule defined by the service index in the engine layer;
A naming construction step, judging whether the service index requirement accords with the rule through a rule matching technology, completing naming of the service index when the rule is met, and completing naming of the service index according to a corresponding prompt when the rule is not met;
And a rule construction step, wherein secondary voice analysis is carried out on the service index requirements according to the data resources, and the service index calculation rule is output.
In some embodiments, the service indicator construction step further includes the following steps:
the method comprises the steps of data acquisition, wherein an engine layer receives and carries out parameter configuration according to a data source of a data source layer, and synchronizes metadata information of the data source;
and an index obtaining step, wherein the engine layer calculates the index of the data source according to the business index calculation rule and outputs a calculation result to the application layer.
In a second aspect, an embodiment of the present application provides a system for constructing a service index, including:
the application layer analyzes and outputs the service index requirements to an engine layer according to the requirements;
The engine layer is used for completing construction of the service index corresponding to the service index requirement according to the service index requirement and combining with a rule defined by a preset service index;
In some of these embodiments, the application layer includes:
The resource acquisition module is used for acquiring and outputting data resources required by meeting the requirements by adopting a voice recognition technology according to the performance assessment requirements;
And the demand forming module is used for searching the data resources in a database, converting the demand into the corresponding business index demand according to the searched data resources and transmitting the business index demand to the engine layer.
In some of these embodiments, the engine layer comprises:
The rule making module presets rules defined by the service indexes in the engine layer;
the naming construction module judges whether the service index requirement accords with the rule or not through a rule matching technology, finishes naming the service index when the rule is met, and finishes naming the service index according to a corresponding prompt when the rule is not met;
and the rule construction module is used for carrying out secondary voice analysis on the service index requirements according to the data resources and outputting the service index calculation rule.
In some of these embodiments, a data source layer is also included, which outputs a data source to the engine layer,
The engine layer performs parameter configuration corresponding to the data source and synchronizes metadata information of the data source;
And the engine layer calculates the index of the data source according to the service index calculation rule and outputs a calculation result to the application layer.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the method for constructing a traffic index according to the first aspect when the processor executes the computer program.
In a fourth aspect, an embodiment of the present application provides a storage medium having stored thereon a computer program, which when executed by a processor implements a method for constructing a traffic index as described in the first aspect above.
Compared with the related art, the method, the system, the electronic device and the storage medium for constructing the business indexes provided by the embodiment of the application have the advantages that the engine layer is constructed between the data source and the application, one-stop index statistical service is provided in a tooled form, the data of a plurality of data sources are butted downwards at one time, the statistical requirements of a plurality of business indexes are supported upwards, the application side only needs to complete corresponding index logic configuration in the engine layer based on the business requirements, the index statistical logic can be realized quickly, the corresponding interface is called to acquire the data result, and the corresponding result display is realized in the application. The application also has the advantages of low implementation cost, strong feasibility, low time complexity and strong generalization capability.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the other features, objects, and advantages of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a method of constructing a business index according to an embodiment of the present application;
FIG. 2 is a flow chart of a business need acquisition step according to an embodiment of the present application;
FIG. 3 is a flow chart of business index building steps according to an embodiment of the present application;
FIG. 4 is a flowchart of the subsequent operation of the business index building step according to an embodiment of the present application;
FIG. 5 is a flow chart of a method of constructing a business index in accordance with a preferred embodiment of the present application;
FIG. 6 is a block diagram of a business index building system according to an embodiment of the present application;
FIG. 7 is a block diagram of a preferred architecture of a business index building system according to an embodiment of the present application;
fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Description of the drawings:
1. an application layer; 2. An engine layer; 11. A resource acquisition module; 12. A demand forming module;
21. a rule making module; 22. A naming construction module; 23. A rule construction module;
3. A data source layer; 81. A processor; 82. A memory; 83. A communication interface;
80. A bus.
Detailed Description
The present application will be described and illustrated with reference to the accompanying drawings and examples in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. All other embodiments, which can be made by a person of ordinary skill in the art based on the embodiments provided by the present application without making any inventive effort, are intended to fall within the scope of the present application.
It is apparent that the drawings in the following description are only some examples or embodiments of the present application, and it is possible for those of ordinary skill in the art to apply the present application to other similar situations according to these drawings without inventive effort. Moreover, it should be appreciated that while such a development effort might be complex and lengthy, it would nevertheless be a routine undertaking of design, fabrication, or manufacture for those of ordinary skill having the benefit of this disclosure, and thus should not be construed as having the benefit of this disclosure.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is to be expressly and implicitly understood by those of ordinary skill in the art that the described embodiments of the application can be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs. The terms "a," "an," "the," and similar referents in the context of the application are not to be construed as limiting the quantity, but rather as singular or plural. The terms "comprising," "including," "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to only those steps or elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The terms "connected," "coupled," and the like in connection with the present application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as used herein means two or more. "and/or" describes an association relationship of an association object, meaning that there may be three relationships, e.g., "a and/or B" may mean: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. The terms "first," "second," "third," and the like, as used herein, are merely distinguishing between similar objects and not representing a particular ordering of objects.
The method, the system, the equipment or the storage medium related by the application can be used in government industry, such as performance assessment data of industrial analysis, industrial field and the like; the system to which it relates may include an application layer, an engine layer, and a data source layer. The methods, systems, apparatus, or storage media of the present application may be integrated with or relatively independent of the systems described above. In some embodiments, the data source may be obtained from the database instead of directly from the data source layer, so as to implement the method, system, device or storage medium according to the present application.
The following will describe embodiments of the present application by taking performance assessment data of industrial analysis as an example.
The performance assessment data includes, but is not limited to, total industrial production value from industrial block unit land, tax from industrial block unit land, business income from industrial block unit land, investment intensity of unit land of newly added industrial land, specific gravity of early warning item, specific gravity of red early warning item, quantity of stop item of industrial block, and industrial increment value of district (county), and economic operation of district and county is comprehensively measured from multiple angles.
The embodiment provides a construction method of a business index. Fig. 1 is a flowchart of a method for constructing a traffic index according to an embodiment of the present application, as shown in fig. 1, the flowchart includes the following steps:
a service requirement obtaining step S1, an application layer analyzes and outputs service index requirements to an engine layer according to requirements;
and S2, the engine layer completes construction of the business index corresponding to the business index requirement according to the business index requirement and in combination with a rule defined by a preset business index.
Through the steps, the engine layer is arranged, one-stop index statistics service is provided in a tool form, the statistics demands of a plurality of business indexes are supported upwards, the application side only needs to complete corresponding index logic configuration in the engine layer based on the business demands, index statistics logic can be realized rapidly, a corresponding interface is called to obtain a data result, and corresponding result display is realized in the application. Different business indexes can be constructed by modifying the business index definition and the rules, and the secondary development and improvement efficiency of index designers are improved.
Fig. 2 is a flowchart of a service requirement acquiring step according to an embodiment of the present application, as shown in fig. 2, in some embodiments, the service requirement acquiring step S1 specifically includes:
A resource acquisition step S11, wherein an application layer acquires and outputs data resources required by meeting requirements by adopting a voice recognition technology according to the requirements of performance assessment;
And a demand forming step S12, wherein data resources are searched in a database, and the demand is converted into corresponding business index demands according to the searched data resources and is sent to an engine layer.
In practical application, in government industry, firstly, inputting the requirement of performance assessment; secondly, recognizing the requirement through a semantic recognition technology, and recognizing data resources required by meeting the requirement; thirdly, retrieving the data resources from the database, and forming service indexes according to the requirements that the data resources can support; finally, the application layer issues these traffic metrics to the engine layer.
Fig. 3 is a flowchart of a traffic index construction step according to an embodiment of the present application, as shown in fig. 3, in some embodiments, the traffic index construction step S2 specifically includes:
A rule making step S21, presetting a rule defined by a service index at an engine layer;
A naming construction step S22, judging whether the service index requirement accords with the rule through a rule matching technology, completing the naming of the service index when the rule is met, and completing the naming of the service index according to the corresponding prompt when the rule is not met;
And a rule construction step S23, wherein secondary voice analysis is carried out on the service index requirements according to the data resources, and the service index calculation rule is output.
The rules include, but are not limited to, specifications and standards defined by business metrics. The definition of the business index includes naming the index, calculating rule of the index and the like,
In practical application, firstly, inputting the specification and standard defined by the service index; secondly, judging whether the naming of the service index definition is met or not through rule matching according to the service index requirements mentioned in the service requirement acquisition step, if the naming of the index is met, completing the naming of the index, and if the naming of the index is not met, adopting prompts such as recommendation or automatic error correction to perform manual confirmation, and completing the naming of the index; thirdly, according to the data resources analyzed in the service demand acquisition step, performing secondary semantic analysis on the index demand, recommending rules required by index calculation, and after manual confirmation, completing the establishment of the index calculation rules; and finally finishing the definition of the index.
The embodiment provides a method for constructing a business index. Fig. 4 is a flowchart of the subsequent operation of the traffic index construction step according to an embodiment of the present application, as shown in fig. 4, the flowchart including the steps of:
step S3 of data acquisition, the engine layer receives and carries out parameter configuration according to a data source of a data source layer, and synchronizes metadata information of the data source;
and S4, performing index calculation on the data source by the engine layer according to the business index calculation rule, and outputting a calculation result to the application layer.
Through the steps, interaction among the application layer, the engine layer and the data source layer is realized, index statistics logic is realized quickly, a corresponding interface is called to acquire a data result, and corresponding result display is realized in the application.
The embodiments of the present application will be described and illustrated below by means of preferred embodiments.
Fig. 5 is a flowchart of a method of constructing a traffic index according to a preferred embodiment of the present application.
S101, the application layer provides service index requirements according to analysis requirements of each application.
S201, defining the service index by service index management and definition according to service index requirement user-defined service index, including naming of the service index, calculation rule of the service index and the like.
S301, managing the data sources required by service index calculation through access and management of the data sources, completing access parameter configuration of the data sources, and synchronizing metadata information of the data sources.
S401, calculating the index of the data source configured in the step 3 by the index calculation capability of the engine layer according to the defined service index.
And S501, after the index calculation is completed, generating an index statistical result in an API mode, and generating an API calling interface document.
S601, analyzing application of the application layer, acquiring index statistical results by calling an API, and displaying the index statistical results on the application.
It should be noted that the steps illustrated in the above-described flow or flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order other than that illustrated herein.
The embodiment also provides a system for constructing the service index, which is used for implementing the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the terms "module," "unit," "sub-unit," and the like may be a combination of software and/or hardware that implements a predetermined function. While the system described in the following embodiments is preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 6 is a block diagram of a construction system of a traffic index according to an embodiment of the present application, as shown in fig. 6, the system includes:
the application layer 1 analyzes and outputs the service index requirements to an engine layer 2 according to the requirements;
and the engine layer 2 is used for completing the construction of the service index corresponding to the service index requirement according to the service index requirement and combining the preset service index management and service index definition.
In some of these embodiments, the application layer 1 comprises:
the resource acquisition module 11 acquires and outputs data resources required by meeting requirements by adopting a voice recognition technology according to the performance assessment requirements;
The demand forming module 12 retrieves data resources from a database, converts the demand into a corresponding business index demand according to the retrieved data resources, and issues the corresponding business index demand to the engine layer 2.
In some of these embodiments, engine layer 2 comprises:
the rule making module 21 presets service index definition and service index management in the engine layer 2;
The naming construction module 22 judges whether the service index requirement meets the service index definition through a rule matching technology, finishes naming the service index when meeting the service index definition, and finishes naming the service index according to the corresponding prompt when not meeting the service index definition;
the rule construction module 23 performs a secondary voice analysis on the service index requirement according to the data resource, and outputs a service index calculation rule.
Fig. 7 is a block diagram of a preferred architecture of a traffic index construction system according to an embodiment of the present application, as shown in fig. 7, including all the modules shown in fig. 6, and further including a data source layer 3, the data source layer 3 outputting a data source to an engine layer 2,
The engine layer 2 performs parameter configuration of the corresponding data source and synchronizes metadata information of the data source;
The engine layer 2 performs index calculation on the data source according to the service index calculation rule, and outputs a calculation result to the application layer 1.
The above-described respective modules may be functional modules or program modules, and may be implemented by software or hardware. For modules implemented in hardware, the various modules described above may be located in the same processor; or the above modules may be located in different processors in any combination.
In addition, the method for constructing the business index according to the embodiment of the present application described in connection with fig. 1 may be implemented by an electronic device. Fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
The electronic device may include a processor 81 and a memory 82 storing computer program instructions.
In particular, the processor 81 may include a Central Processing Unit (CPU), or an Application SPECIFIC INTEGRATED Circuit (ASIC), or may be configured as one or more integrated circuits that implement embodiments of the present application.
Memory 82 may include, among other things, mass storage for data or instructions. By way of example, and not limitation, memory 82 may comprise a hard disk drive (HARD DISK DRIVE, abbreviated HDD), floppy disk drive, solid state drive (Solid STATE DRIVE, abbreviated SSD), flash memory, optical disk, magneto-optical disk, magnetic tape, or universal serial bus (Universal Serial Bus, abbreviated USB) drive, or a combination of two or more of these. The memory 82 may include removable or non-removable (or fixed) media, where appropriate. Memory 82 may be internal or external to the data processing system, where appropriate. In a particular embodiment, the memory 82 is a Non-Volatile (Non-Volatile) memory. In particular embodiments, memory 82 includes Read-Only Memory (ROM) and random access Memory (Random Access Memory, RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (Programmable Read-On lyMemory, abbreviated PROM), an erasable PROM (Erasable Programmable Read-Only Memory, abbreviated EPROM), an electrically erasable PROM (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, abbreviated EEPROM), an electrically rewritable ROM (ELECTRICALLY ALTERABLE READ-Only Memory, abbreviated EAROM) or a FLASH Memory (FLASH), or a combination of two or more of these. The RAM may be a Static Random-Access Memory (SRAM) or a dynamic Random-Access Memory (Dynamic Random Access Memory DRAM), where the DRAM may be a fast page mode dynamic Random-Access Memory (Fast Page Mode Dynamic Random Access Memory, FPMDRAM), an extended data output dynamic Random-Access Memory (Extended Date Out Dynamic Random Access Memory, EDODRAM), a synchronous dynamic Random-Access Memory (Synchronous Dynamic Random-Access Memory, SDRAM), or the like, as appropriate.
Memory 82 may be used to store or cache various data files that need to be processed and/or communicated, as well as possible computer program instructions for execution by processor 81.
The processor 81 reads and executes the computer program instructions stored in the memory 82 to implement the method for constructing any one of the traffic indexes in the above embodiment.
In some of these embodiments, the electronic device may also include a communication interface 83 and a bus 80. As shown in fig. 8, the processor 81, the memory 82, and the communication interface 83 are connected to each other via the bus 80 and perform communication with each other.
The communication interface 83 is used to enable communication between modules, systems, units, and/or devices in embodiments of the application. Communication port 83 may also enable communication with other components such as: and the external equipment, the image/data acquisition equipment, the database, the external storage, the image/data processing workstation and the like are used for data communication.
Bus 80 includes hardware, software, or both that couple components of the electronic device to one another. Bus 80 includes, but is not limited to, at least one of: data Bus (Data Bus), address Bus (Address Bus), control Bus (Control Bus), expansion Bus (Expansion Bus), local Bus (Local Bus). By way of example, and not limitation, bus 80 may include a graphics acceleration interface (ACCELERATED GRAPHICS Port, abbreviated as AGP) or other graphics Bus, an enhanced industry standard architecture (Extended Industry Standard Architecture, abbreviated as EISA) Bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an industry standard architecture (Industry Standard Architecture, ISA) Bus, a radio Bandwidth (InfiniBand) interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a micro channel architecture (Micro Channel Architecture, abbreviated as MCA) Bus, a peripheral component interconnect (PERIPHERAL COMPONENT INTERCONNECT, abbreviated as PCI) Bus, a PCI-Express (PCI-X) Bus, a serial advanced technology attachment (SERIAL ADVANCED Technology Attachment, abbreviated as SATA) Bus, a video electronics standards Association local (Video Electronics Standards Association Local Bus, abbreviated as VLB) Bus, or other suitable Bus, or a combination of two or more of these. Bus 80 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.
The electronic device may implement the method for constructing the service indicator described in connection with fig. 1 based on the acquired service indicator management and service indicator definition.
In addition, in combination with the method for constructing the business index in the above embodiment, the embodiment of the present application may be implemented by providing a storage medium. The storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement the method of constructing any one of the traffic metrics in the above embodiments.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (6)
1. The construction method of the business index is characterized by comprising the following steps:
A service demand acquisition step, wherein an application layer analyzes and outputs service index demands to an engine layer according to the demands; a service index construction step, wherein the engine layer completes construction of a service index corresponding to the service index requirement according to the service index requirement and in combination with a rule defined by a preset service index;
the service requirement obtaining step specifically includes:
A resource acquisition step, wherein the application layer acquires and outputs data resources required by meeting the requirements by adopting a voice recognition technology according to the performance assessment requirements;
A demand forming step, namely searching the data resource in a database, converting the demand into the corresponding business index demand according to the searched data resource, and issuing the corresponding business index demand to the engine layer;
the business index construction step specifically comprises the following steps:
rule making step, presetting the rule defined by the service index in the engine layer;
A naming construction step, judging whether the service index requirement accords with the rule through a rule matching technology, completing naming of the service index when the rule is met, and completing naming of the service index according to a corresponding prompt when the rule is not met;
And a rule construction step, wherein secondary voice analysis is carried out on the service index requirements according to the data resources, and the service index calculation rule is output.
2. The method for constructing a traffic index according to claim 1, wherein the traffic index constructing step further comprises the steps of:
the method comprises the steps of data acquisition, wherein an engine layer receives and carries out parameter configuration according to a data source of a data source layer, and synchronizes metadata information of the data source;
and an index obtaining step, wherein the engine layer calculates the index of the data source according to the business index calculation rule and outputs a calculation result to the application layer.
3. A system for constructing a business index, comprising:
The application layer analyzes and outputs the service index requirements to an engine layer according to the requirements; the engine layer is used for completing construction of the service index corresponding to the service index requirement according to the service index requirement and combining with a rule defined by a preset service index;
the application layer specifically comprises:
The resource acquisition module is used for acquiring and outputting data resources required by meeting the requirements by adopting a voice recognition technology according to the performance assessment requirements;
The demand forming module is used for searching the data resources in a database, converting the demand into the corresponding business index demand according to the searched data resources and transmitting the business index demand to the engine layer;
wherein, the engine layer specifically includes:
The rule making module presets rules defined by the service indexes in the engine layer;
the naming construction module judges whether the service index requirement accords with the rule or not through a rule matching technology, finishes naming the service index when the rule is met, and finishes naming the service index according to a corresponding prompt when the rule is not met;
and the rule construction module is used for carrying out secondary voice analysis on the service index requirements according to the data resources and outputting the service index calculation rule.
4. The traffic index building system according to claim 3, further comprising a data source layer outputting a data source to the engine layer,
The engine layer performs parameter configuration corresponding to the data source and synchronizes metadata information of the data source;
And the engine layer calculates the index of the data source according to the service index calculation rule and outputs a calculation result to the application layer.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of constructing a business metric according to any of claims 1-2 when executing the computer program.
6. A storage medium having stored thereon a computer program, which when executed by a processor implements a method of constructing a business index according to any one of claims 1 to 2.
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