CN115828872A - Method and system for dynamically generating visual form through business description language - Google Patents
Method and system for dynamically generating visual form through business description language Download PDFInfo
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Abstract
The invention discloses a method and a system for dynamically generating a visual form through a service description language. According to the method and the device, the initial business data is obtained to carry out comprehensive analysis of the business description language, the corresponding business data model is obtained, the corresponding visual form can be efficiently generated according to the business data model, the visual form is displayed according to a preset mode, efficient generation and quick response of the visual form are realized, and the processing efficiency of the business data is improved.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a method and a system for dynamically generating a visual form through a business description language.
Background
Data analysis is an important skill to be mastered in an enterprise operation process. By analyzing the service data, the service problems can be found, the business opportunities can be observed, and reasonable suggestions and reference bases can be provided for service growth.
In the process of selling products by enterprises, the efficiency of a data analysis process is often low due to the existence of a large amount of business data, and how to analyze visual and useful data in a large amount of complicated business data through a business description language is a problem which needs to be solved urgently at present.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a method for dynamically generating a visual form through a business description language.
The invention provides a method for dynamically generating a visual form through a business description language in a first aspect, which comprises the following steps:
acquiring initial product service data, and performing service description language data analysis according to the initial product service data to obtain analytical product service data;
performing data standard analysis according to the analytical product service data to obtain a standard data format, and constructing a service data model according to the standard data format;
analyzing various data frequency information in the business data model, marking key index data according to the data frequency information, and generating a key data dictionary according to the key index data;
and dynamically generating visual form data according to the service data model and by combining the key index data, and displaying the visual form data according to a preset mode.
In this scheme, the acquiring of the initial product service data and the analyzing of the service description language data according to the initial product service data to obtain the analytic product service data specifically include:
obtaining corresponding product category information according to the initial product service data;
obtaining service description standardized information according to the product category information;
according to the service description standardization information, carrying out data layering division on initial product service data to obtain user description data, user behavior data, product description data and product behavior data;
and performing data arrangement on the user description data, the user behavior data, the product description data and the product behavior data to obtain analytical product service data.
In this scheme, the data standard analysis is performed according to the analytic product service data to obtain a standard data format, and a service data model is constructed according to the standard data format, specifically:
analyzing the analytical product service data according to multiple data standards according to the hierarchical data to obtain multiple standard data formats;
performing model definition according to the standard data format to obtain a model standard format;
and constructing an entity business data model according to the model standard format, and importing the analytical product business data into the business data model.
In this scheme, analyzing frequency information of each item of data in the service data model, marking key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data specifically includes:
acquiring data frequency information of different data types in each item of data according to the service data model;
according to the data frequency information, marking the data category higher than the preset frequency range as key index data;
and acquiring data names and data attributes in the key index data, and generating a corresponding key data dictionary according to the data names and the data attributes.
In this scheme, the analyzing frequency information of each item of data in the service data model, marking key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data further includes:
analyzing a data standard range according to the service data model to obtain a preset numerical range;
analyzing and comparing specific numerical values of all data in the business data model with a preset numerical value range;
if the specific numerical value does not accord with the preset range, marking the specific numerical value as first abnormal data;
and acquiring historical service data, and analyzing the abnormal conditions of the historical service data and the abnormal data to obtain second abnormal data.
In this scheme, the analyzing frequency information of each item of data in the service data model, marking key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data further includes:
analyzing the path source of the second abnormal data and obtaining data source path information;
obtaining corresponding business form source data according to the data source path information;
analyzing abnormal reasons according to the business form source data and the data source path information to obtain abnormal condition information;
and sending the abnormal condition information to a preset terminal device.
In this scheme, the dynamic generation of the visual form data according to the service data model and in combination with the key index data and the display of the visual form data according to a preset mode specifically include:
generating a key index code according to the key index data;
generating form model content and form model format according to the business data model;
and dynamically generating visual form data according to the key index codes, the form model contents and the form model format, and displaying the visual form data according to a preset mode.
The second aspect of the present invention also provides a system for dynamically generating a visual form through a business description language, the system comprising: the storage comprises a visual form method program dynamically generated through a business description language, and the visual form method program dynamically generated through the business description language is executed by the processor to realize the following steps:
acquiring initial product service data, and performing service description language data analysis according to the initial product service data to obtain analytical product service data;
performing data standard analysis according to the analytical product service data to obtain a standard data format, and constructing a service data model according to the standard data format;
analyzing various data frequency information in the business data model, marking key index data according to the data frequency information, and generating a key data dictionary according to the key index data;
and dynamically generating visual form data according to the service data model and by combining the key index data, and displaying the visual form data according to a preset mode.
In this scheme, the acquiring of the initial product service data and the analyzing of the service description language data according to the initial product service data to obtain the analytic product service data specifically include:
obtaining corresponding product category information according to the initial product service data;
obtaining service description standardized information according to the product category information;
according to the service description standardization information, carrying out data layering division on initial product service data to obtain user description data, user behavior data, product description data and product behavior data;
and performing data arrangement on the user description data, the user behavior data, the product description data and the product behavior data to obtain analytical product service data.
In this scheme, the data standard analysis is performed according to the analytic product service data to obtain a standard data format, and a service data model is constructed according to the standard data format, specifically:
analyzing the analytical product service data according to multiple data standards according to the hierarchical data to obtain multiple standard data formats;
performing model definition according to the standard data format to obtain a model standard format;
and constructing an entity business data model according to the model standard format, and importing the analytical product business data into the business data model.
The invention discloses a method and a system for dynamically generating a visual form through a service description language. According to the method and the device, the initial business data is obtained to carry out comprehensive analysis of the business description language, the corresponding business data model is obtained, the corresponding visual form can be efficiently generated according to the business data model, the visual form is displayed according to a preset mode, efficient generation and quick response of the visual form are realized, and the processing efficiency of the business data is improved.
Drawings
FIG. 1 is a flow chart illustrating a method of dynamically generating a visual form through a business description language in accordance with the present invention;
FIG. 2 illustrates a flow chart for obtaining analytical product business data in accordance with the present invention;
FIG. 3 illustrates a flow chart for building a business data model according to the present invention;
FIG. 4 is a block diagram illustrating a system for dynamically generating a visual form through a business description language in accordance with the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
FIG. 1 is a flow chart illustrating a method for dynamically generating a visual form through a business description language according to the present invention.
As shown in fig. 1, a first aspect of the present invention provides a method for dynamically generating a visual form through a business description language, including:
s102, acquiring initial product service data, and analyzing service description language data according to the initial product service data to obtain analytical product service data;
s104, performing data standard analysis according to the analytical product service data to obtain a standard data format, and constructing a service data model according to the standard data format;
s106, analyzing frequency information of each item of data in the business data model, marking key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data;
and S108, dynamically generating visual form data according to the service data model and by combining the key index data, and displaying the visual form data according to a preset mode.
FIG. 2 is a flow chart illustrating the process of obtaining analytical product business data according to the present invention.
According to the embodiment of the invention, the acquiring of the initial product service data and the analyzing of the service description language data according to the initial product service data to obtain the analytical product service data specifically comprise:
s202, obtaining corresponding product category information according to the initial product service data;
s204, obtaining service description standardization information according to the product category information;
s206, performing data layering division on the initial product service data according to the service description standardization information to obtain user description data, user behavior data, product description data and product behavior data;
and S208, performing data sorting on the user description data, the user behavior data, the product description data and the product behavior data to obtain analytical product service data.
It should be noted that the service description standardization information is specifically supply and marketing data standard information related to a description product. The user description data comprises user basic information data, and the user behavior data comprises consumption behavior data of the product. The product description data includes information such as the type and attribute of the product. The product behavior data includes a supply time location, a sale time, an inventory time, a product sale path and the like of the product.
FIG. 3 shows a flow chart for building a business data model according to the present invention.
According to the embodiment of the invention, the data standard analysis is performed according to the analytical product service data to obtain a standard data format, and a service data model is constructed according to the standard data format, specifically:
s302, analyzing the analytical product service data according to multiple data standards according to the hierarchical data to obtain multiple standard data formats;
s304, performing model definition according to the standard data format to obtain a model standard format;
s306, an entity business data model is constructed according to the model standard format, and the analytical product business data is imported into the business data model.
According to the embodiment of the present invention, analyzing each item of data frequency information in the service data model, marking key index data according to the data frequency information, and generating a key data dictionary according to the key index data specifically includes:
acquiring data frequency information of different data types in each item of data according to the service data model;
according to the data frequency information, marking the data category higher than the preset frequency range as key index data;
and acquiring data names and data attributes in the key index data, and generating a corresponding key data dictionary according to the data names and the data attributes.
It should be noted that each item of data includes user basic data, product behavior data, supply behavior data, and the like. The data frequency information is frequency information of data in different data categories appearing in the service data model. The preset frequency range is formulated according to a service data model. And acquiring data names and data attributes in the key index data, generating a corresponding key data dictionary according to the data names and the data attributes, and further efficiently inquiring and analyzing the key data through the key data dictionary.
According to the embodiment of the present invention, the analyzing frequency information of each item of data in the service data model, marking key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data further includes:
analyzing a data standard range according to the service data model to obtain a preset numerical range;
analyzing and comparing specific numerical values of all data in the business data model with a preset numerical value range;
if the specific numerical value does not accord with the preset range, marking the specific numerical value as first abnormal data;
and acquiring historical service data, and performing abnormal condition analysis on the historical service data and the abnormal data to obtain second abnormal data.
It should be noted that, in the data analysis process, due to some irresistible factors such as technical problems in data acquisition, system statistical errors, server failures, etc., data may be abnormal, which is often represented as that the data fluctuation value is too large, the data is not within a preset range, etc. At this time, the abnormal data can be accurately positioned by analyzing the data range and comparing the historical service data, so that the abnormal condition which currently occurs is analyzed.
According to the embodiment of the present invention, the analyzing frequency information of each item of data in the service data model, marking key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data further includes:
analyzing the path source of the second abnormal data and obtaining data source path information;
obtaining corresponding business form source data according to the data source path information;
analyzing abnormal reasons according to the business form source data and the data source path information to obtain abnormal condition information;
and sending the abnormal condition information to a preset terminal device.
It should be noted that the preset terminal device includes a preset mobile terminal device and a preset computer terminal device. And analyzing the path source of the second abnormal data and obtaining data source path information, wherein the data source path information comprises the whole data analysis path and different analysis result data of the second abnormal data. The abnormal condition information comprises a data abnormal reason and a specific abnormal data value. Abnormal data can be effectively eliminated by analyzing the abnormal condition information, and the business data can be further reasonably analyzed, so that the subsequently generated visual form data is more accurate and reliable.
According to the embodiment of the invention, the dynamic generation of the visual form data according to the service data model and the combination of the key index data and the display of the visual form data according to the preset mode specifically comprises the following steps:
generating a key index code according to the key index data;
generating form model content and form model format according to the business data model;
and dynamically generating visual form data according to the key index codes, the form model contents and the form model format, and displaying the visual form data according to a preset mode.
It should be noted that, during the display according to the preset mode, the system provides a plurality of display modes, including text boxes, date selections, pop-up help, numerical value input, hyperlinks, and other types of display. The key index code comprises definitions of a header, a sub-entry, a detailed item and the like.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring user description data and user behavior data in the service data of the analytical product;
according to the user description data and the user behavior data, analyzing the number of users to obtain user quantity prediction data;
performing product behavior prediction according to product description data and product behavior data in the analytical product service data to obtain product production and sales prediction data;
carrying out comprehensive analysis according to the user quantity prediction data and the product production and sales prediction data to obtain service quantity growth prediction data;
and performing resource allocation analysis according to the traffic increase prediction data to obtain system resource allocation scheme information and human resource allocation scheme information.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring user description data and user behavior data in the service data of the analytical product;
generating historical user transaction data according to the user description data and the user behavior data;
analyzing and sorting the historical user transaction data to obtain personalized transaction data of each user;
acquiring target employee business information data, and performing human resource adaptation analysis according to the target employee business information data and the personalized transaction data to obtain a human resource adaptation table;
and carrying out follow-up distribution on the transaction between the user and the staff according to the human resource adaptation table.
It should be noted that, in the product sale process of an enterprise, when different users perform product transactions, the transaction requirements generated are different, the invention obtains the personalized transaction data of the users by analyzing the user data, and performs adaptation analysis on the transaction data and business personnel, so as to obtain an accurate business personnel allocation scheme, thereby improving the business processing capability of the enterprise.
In addition, the personalized transaction data includes user historical transaction time, transaction location, average product transaction amount, and the like. The target employee business information data comprises the working time of each business employee, the responsible business area, the responsible range of the product type and the responsible range of the product amount.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring user description data and user behavior data in the service data of the analytical product;
analyzing user relationship data according to the user description data and the user behavior data to obtain user cooperation time information, user average transaction amount information and user attention information;
performing comprehensive calculation analysis according to the user cooperation time information, the user average transaction amount information and the user attention information to obtain a user transaction weight value;
sorting according to the user transaction weight value and generating a user weight list;
and generating a user approval weight form according to the user weight form and the product data, and displaying the user approval weight form according to a preset mode.
It should be noted that the product data is specifically product description data and product behavior data in the analytic product service data. The display according to the preset mode is specifically a plurality of display modes, including text box, date selection, pop-up help, numerical value input, hyperlink and other types of display.
According to the embodiment of the invention, the method further comprises the following steps:
performing data type analysis and form component analysis according to the service data model, and obtaining a corresponding form component type;
obtaining key index data, and screening from the form component types according to the key index data to obtain a key form component corresponding to the displayed key index data;
and preloading the key form component, importing the key index data into the key form component, and preferentially displaying the key index data according to a preset mode.
It should be noted that, in the process of preloading the key form component, importing the key index data into the key form component and preferentially displaying the key index data according to the preset mode, the key index data in the service data can be preferentially displayed by preloading the key form component, so that the generation efficiency of the visual form is effectively improved, and the response speed of the visual form is further accelerated.
FIG. 4 is a block diagram illustrating a system for dynamically generating a visual form through a business description language in accordance with the present invention.
The second aspect of the present invention also provides a system 4 for dynamically generating a visual form through a business description language, the system comprising: a memory 41 and a processor 42, wherein the memory includes a program for dynamically generating a visual form through a business description language, and when the program for dynamically generating a visual form through a business description language is executed by the processor, the following steps are implemented:
acquiring initial product service data, and performing service description language data analysis according to the initial product service data to obtain analytical product service data;
performing data standard analysis according to the analytical product service data to obtain a standard data format, and constructing a service data model according to the standard data format;
analyzing various data frequency information in the business data model, marking key index data according to the data frequency information, and generating a key data dictionary according to the key index data;
and dynamically generating visual form data according to the service data model and by combining the key index data, and displaying the visual form data according to a preset mode.
According to the embodiment of the invention, the acquiring of the initial product service data and the analyzing of the service description language data according to the initial product service data to obtain the analytical product service data specifically comprise:
obtaining corresponding product category information according to the initial product service data;
obtaining service description standardized information according to the product category information;
according to the service description standardization information, carrying out data layering division on initial product service data to obtain user description data, user behavior data, product description data and product behavior data;
and performing data sorting on the user description data, the user behavior data, the product description data and the product behavior data to obtain analytical product service data.
It should be noted that the service description standardization information is specifically supply and marketing data standard information related to a description product. The user description data comprises user basic information data, and the user behavior data comprises consumption behavior data of the product. The product description data includes information such as the type and attribute of the product. The product behavior data includes a supply time location, a sale time, an inventory time, a product sale path and the like of the product.
According to the embodiment of the invention, the data standard analysis is performed according to the analytical product service data to obtain a standard data format, and a service data model is constructed according to the standard data format, specifically:
analyzing the analytical product service data according to multiple data standards according to the hierarchical data to obtain multiple standard data formats;
performing model definition according to the standard data format to obtain a model standard format;
and constructing an entity business data model according to the model standard format, and importing the analytical product business data into the business data model.
According to the embodiment of the present invention, analyzing each item of data frequency information in the service data model, marking key index data according to the data frequency information, and generating a key data dictionary according to the key index data specifically includes:
acquiring data frequency information of different data types in each item of data according to the service data model;
according to the data frequency information, marking the data category higher than the preset frequency range as key index data;
and acquiring data names and data attributes in the key index data, and generating a corresponding key data dictionary according to the data names and the data attributes.
It should be noted that each item of data includes user basic data, product behavior data, supply behavior data, and the like. The data frequency information is frequency information of data in different data categories appearing in the service data model. The preset frequency range is formulated according to a service data model. And acquiring data names and data attributes in the key index data, generating a corresponding key data dictionary according to the data names and the data attributes, and further efficiently inquiring and analyzing the key data through the key data dictionary.
According to the embodiment of the present invention, the analyzing frequency information of each item of data in the service data model, marking key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data further includes:
analyzing a data standard range according to the service data model to obtain a preset numerical range;
analyzing and comparing specific numerical values of all data in the business data model with a preset numerical value range;
if the specific numerical value does not accord with the preset range, marking the specific numerical value as first abnormal data;
and acquiring historical service data, and analyzing the abnormal conditions of the historical service data and the abnormal data to obtain second abnormal data.
It should be noted that, in the data analysis process, due to some irresistible factors such as technical problems in data acquisition, system statistical errors, server failures, etc., data may be abnormal, which is often represented as that the data fluctuation value is too large, the data is not within a preset range, etc. At the moment, abnormal data can be accurately positioned by analyzing the data range and comparing historical service data, so that the current abnormal condition can be analyzed.
According to the embodiment of the present invention, the analyzing frequency information of each item of data in the service data model, marking key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data further includes:
analyzing the path source of the second abnormal data and obtaining data source path information;
obtaining corresponding business form source data according to the data source path information;
analyzing abnormal reasons according to the business form source data and the data source path information to obtain abnormal condition information;
and sending the abnormal condition information to a preset terminal device.
It should be noted that the preset terminal device includes a preset mobile terminal device and a preset computer terminal device. And analyzing the path source of the second abnormal data and obtaining data source path information, wherein the data source path information comprises the whole data analysis path and different analysis result data of the second abnormal data. The abnormal condition information comprises a data abnormal reason and a specific abnormal data value. Abnormal data can be effectively eliminated by analyzing the abnormal condition information, and the business data can be further reasonably analyzed, so that subsequently generated visual form data is more accurate and reliable.
According to the embodiment of the invention, the dynamic generation of the visual form data according to the service data model and the combination of the key index data and the display of the visual form data according to the preset mode specifically comprises the following steps:
generating a key index code according to the key index data;
generating form model content and form model format according to the business data model;
and dynamically generating visual form data according to the key index codes, the form model contents and the form model format, and displaying the visual form data according to a preset mode.
It should be noted that, during the display according to the preset mode, the system provides a plurality of display modes, including text boxes, date selections, pop-up help, numerical value input, hyperlinks, and other types of display. The key index code comprises definitions of a header, a sub-entry, a detailed item and the like.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring user description data and user behavior data in the service data of the analytical product;
according to the user description data and the user behavior data, analyzing the number of users to obtain user quantity prediction data;
performing product behavior prediction according to product description data and product behavior data in the analytical product service data to obtain product production and sales prediction data;
carrying out comprehensive analysis according to the user quantity prediction data and the product production and sales prediction data to obtain service quantity growth prediction data;
and performing resource allocation analysis according to the traffic increase prediction data to obtain system resource allocation scheme information and human resource allocation scheme information.
According to the embodiment of the invention, the method further comprises the following steps:
performing data type analysis and form component analysis according to the service data model, and obtaining a corresponding form component type;
obtaining key index data, and screening from the form component types according to the key index data to obtain a key form component corresponding to the displayed key index data;
and preloading the key form component, importing the key index data into the key form component, and preferentially displaying the key index data according to a preset mode.
It should be noted that, in the process of preloading the key form component, importing the key index data into the key form component and preferentially displaying the key index data according to the preset mode, the key index data in the service data can be preferentially displayed by preloading the key form component, so that the generation efficiency of the visual form is effectively improved, and the response speed of the visual form is further accelerated.
The invention discloses a method and a system for dynamically generating a visual form through a service description language. According to the method and the device, the initial business data is obtained to carry out comprehensive analysis of the business description language, the corresponding business data model is obtained, the corresponding visual form can be efficiently generated according to the business data model, the visual form is displayed according to a preset mode, efficient generation and quick response of the visual form are realized, and the processing efficiency of the business data is improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A method for dynamically generating a visual form through a business description language is characterized by comprising the following steps:
acquiring initial product service data, and analyzing service description language data according to the initial product service data to obtain analytical product service data;
performing data standard analysis according to the analytical product service data to obtain a standard data format, and constructing a service data model according to the standard data format;
analyzing various data frequency information in the business data model, marking key index data according to the data frequency information, and generating a key data dictionary according to the key index data;
and dynamically generating visual form data according to the service data model and by combining the key index data, and displaying the visual form data according to a preset mode.
2. The method according to claim 1, wherein the step of obtaining initial product service data and analyzing the service description language data according to the initial product service data to obtain analytic product service data comprises:
obtaining corresponding product category information according to the initial product service data;
obtaining service description standardized information according to the product category information;
according to the service description standardization information, carrying out data layering division on initial product service data to obtain user description data, user behavior data, product description data and product behavior data;
and performing data arrangement on the user description data, the user behavior data, the product description data and the product behavior data to obtain analytical product service data.
3. The method according to claim 1, wherein the method for dynamically generating a visual form through a business description language is characterized in that the method comprises the steps of performing data standard analysis according to analytical product business data to obtain a standard data format, and constructing a business data model according to the standard data format, specifically:
analyzing the analytical product service data according to multiple data standards according to the hierarchical data to obtain multiple standard data formats;
performing model definition according to the standard data format to obtain a model standard format;
and constructing an entity business data model according to the model standard format, and importing the analytical product business data into the business data model.
4. The method according to claim 1, wherein the method for dynamically generating a visual form through a business description language is characterized in that frequency information of each item of data in the business data model is analyzed, key index data is marked according to the frequency information of the data, and a key data dictionary is generated according to the key index data, and specifically comprises:
acquiring data frequency information of different data types in each item of data according to the service data model;
according to the data frequency information, marking the data category higher than the preset frequency range as key index data;
and acquiring data names and data attributes in the key index data, and generating a corresponding key data dictionary according to the data names and the data attributes.
5. The method according to claim 1, wherein the method for dynamically generating a visualized form through a business description language analyzes frequency information of each item in the business data model, marks key index data according to the frequency information of the item, and generates a key data dictionary according to the key index data, further comprising:
analyzing a data standard range according to the service data model to obtain a preset numerical range;
analyzing and comparing specific numerical values of all data in the business data model with a preset numerical value range;
if the specific numerical value does not accord with the preset range, marking the specific numerical value as first abnormal data;
and acquiring historical service data, and analyzing the abnormal conditions of the historical service data and the abnormal data to obtain second abnormal data.
6. The method for dynamically generating a visualized form through a business description language according to claim 5, wherein the analyzing frequency information of each item of data in the business data model, labeling key index data according to the frequency information of the data, and generating a key data dictionary according to the key index data, further comprises:
analyzing the path source of the second abnormal data and obtaining data source path information;
obtaining corresponding business form source data according to the data source path information;
analyzing abnormal reasons according to the business form source data and the data source path information to obtain abnormal condition information;
and sending the abnormal condition information to a preset terminal device.
7. The method for dynamically generating a visual form through a business description language according to claim 1, wherein the method for dynamically generating visual form data according to a business data model and in combination with key index data and displaying the visual form data according to a preset mode specifically comprises:
generating a key index code according to the key index data;
generating form model content and form model format according to the business data model;
and dynamically generating visual form data according to the key index codes, the form model contents and the form model format, and displaying the visual form data according to a preset mode.
8. A system for dynamically generating visual forms through a business description language, the system comprising: the storage comprises a program of a method for dynamically generating a visual form through a business description language, and when the program of the method for dynamically generating the visual form through the business description language is executed by the processor, the following steps are realized:
acquiring initial product service data, and performing service description language data analysis according to the initial product service data to obtain analytical product service data;
performing data standard analysis according to the analytical product service data to obtain a standard data format, and constructing a service data model according to the standard data format;
analyzing various data frequency information in the business data model, marking key index data according to the data frequency information, and generating a key data dictionary according to the key index data;
and dynamically generating visual form data according to the service data model and by combining the key index data, and displaying the visual form data according to a preset mode.
9. The system according to claim 8, wherein the system for dynamically generating a visual form through a service description language is configured to obtain initial product service data, and perform service description language data analysis according to the initial product service data to obtain analytic product service data, and specifically:
obtaining corresponding product category information according to the initial product service data;
obtaining service description standardized information according to the product category information;
according to the service description standardization information, carrying out data layering division on initial product service data to obtain user description data, user behavior data, product description data and product behavior data;
and performing data sorting on the user description data, the user behavior data, the product description data and the product behavior data to obtain analytical product service data.
10. The system according to claim 8, wherein the system performs data standard analysis according to the analytic product service data to obtain a standard data format, and constructs a service data model according to the standard data format, specifically:
analyzing the analytical product service data according to multiple data standards according to the hierarchical data to obtain multiple standard data formats;
performing model definition according to the standard data format to obtain a model standard format;
and constructing an entity business data model according to the model standard format, and importing the analytical product business data into the business data model.
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