CN114296706A - Front-end big data platform development system and front-end big data platform development method - Google Patents
Front-end big data platform development system and front-end big data platform development method Download PDFInfo
- Publication number
- CN114296706A CN114296706A CN202111642294.4A CN202111642294A CN114296706A CN 114296706 A CN114296706 A CN 114296706A CN 202111642294 A CN202111642294 A CN 202111642294A CN 114296706 A CN114296706 A CN 114296706A
- Authority
- CN
- China
- Prior art keywords
- module
- business
- service
- user
- big data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a front-end big data platform development system and a front-end big data platform development method, wherein the system comprises: the system comprises a business management module, an audit release module and a front-end big data platform construction module; the business management module establishes a corresponding relation between the released module and the business type and the theme style according to the business type and the theme style selected by the user to generate a business module; the auditing and issuing module audits the service module generated by the service management module and issues the service module which passes the audit; the front-end big data platform construction module selects a first business module from the published business modules according to the target business type and the target theme style of the user, and combines the first business modules to construct a front-end big data platform. According to the invention, for the development of the front-end big data platform, a user can obtain the front-end big data platform only by assembling the business module according to the selected business type and theme style, so that the time of the user is saved, and the development efficiency is improved.
Description
Technical Field
The invention relates to the technical field of front-end development, in particular to a front-end big data platform development system and a front-end big data platform development method.
Background
At present, more and more big data platforms come into existence, but many big data platforms in the market are basically developed in a customized manner, can only adapt to the customized requirements proposed by users in advance, need to be developed secondarily by developers for change, need the process of product iteration, and are complicated in process and low in efficiency. For example: if a user wants to change the product style of the big data platform or change the theme of a product, at this time, a developer needs to develop the whole front-end big data system for the second time and update the front-end big data system in a product iteration mode, or if the user needs to add a new service function module in the front-end big data platform, at this time, a developer needs to perform iteration update on the function level of the whole front-end big data product, and the like.
Disclosure of Invention
Therefore, the invention provides a front-end big data platform development system and a front-end big data platform development method in order to solve the problems that the data platform customized and developed in the current market can only adapt to the customization requirements of users, and the modification needs secondary development and product iteration.
In order to achieve the purpose, the invention adopts the following technical scheme:
the embodiment of the invention provides a front-end big data platform development system, which comprises: the system comprises a business management module, an audit release module and a front-end big data platform construction module; the business management module establishes a corresponding relation between the released module and the business type and the theme style according to the business type and the theme style selected by the user to generate a business module; the auditing and issuing module audits the service module generated by the service management module and issues the service module which passes the audit; the front-end big data platform construction module selects a first business module from the published business modules according to the target business type and the target theme style of the user, and combines the first business modules to construct a front-end big data platform.
Optionally, the service module includes: the device comprises a component calling module and a business generating module, wherein the component calling module calls a basic component corresponding to the business type and the theme style selected by the user according to the business type and the theme style selected by the user; the service generation module establishes the corresponding relation between the released module and the service type and the theme style according to the service type and the theme style selected by the user, and generates the service module according to the basic component called by the component calling module.
Optionally, the audit issuing module includes: the system comprises an auditing module and a releasing module, wherein the auditing module audits the service module generated by the service management module; and the issuing module issues the service module which is approved by the auditing module.
Optionally, the front-end big data platform development system further includes: and the selection module is used for receiving the selection operation of the user and determining the service type and the theme style selected by the user based on the selection operation.
Optionally, the front-end big data platform development system further includes: the registration module is used for receiving a registration development request of a user and distributing a system development account for the user based on the registration development request so that the user can develop a service module based on the system development account.
According to a second aspect, the invention also discloses a front-end big data platform development method, which comprises the following steps: acquiring a service type and a theme style selected by a user; generating a business module according to the business type and the theme style selected by the user; auditing the service module, and issuing the approved service module; and selecting a first service module from the released service modules to combine and construct a front-end big data platform.
Optionally, the generating a service module according to the service type and the theme style selected by the user includes: calling a basic component corresponding to the service type and the theme style selected by the user according to the service type and the theme style selected by the user; establishing a corresponding relation between the released module and the business type and the theme style according to the business type and the theme style selected by the user; and generating a business module according to the basic component called by the component calling module.
Optionally, the auditing the service module includes: acquiring a development specification; auditing the business module based on the development specification; and when the business module conforms to the development specification, determining that the business module is approved.
According to a third aspect, an embodiment of the present invention further discloses an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the front end big data platform development method steps as described in the second aspect or any one of the optional embodiments of the second aspect.
According to a fourth aspect, the embodiment of the present invention further discloses a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the front-end big data platform development method according to the second aspect or any optional embodiment of the second aspect.
The technical scheme of the invention has the following advantages:
1. the front-end big data platform development system provided by the invention selects a corresponding business module from the released business modules by designing the business management module, the auditing and releasing module and the front-end big data platform construction module and according to the business type and the theme style selected by a user, and then the front-end big data platform development system is assembled and constructed. According to the invention, for the development of the front-end big data platform, a user can apply to the matched industry only by simply assembling the business module according to the business type and the theme style selected by the user, so that the time of the user is saved, and the development efficiency is improved.
2. According to the method and the device, the service type and the theme style selected by the user are obtained, the service module is generated according to the service type and the theme style selected by the user, the service module is checked, the checked service module is released, and the user can select the first service module from the released service module to combine and construct the front-end big data platform. When the system is used, developers can develop different functional modules according to own requirements, and the business modules developed by the developers can be published as long as the auditing of the publishing module is in accordance with the preset development rule code writing standard, so that the system is convenient to communicate with other developers. When the user uses the service module, the service module can be applied to matched industries only by simply assembling the service module, so that the time of the user is saved, and the development efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic structural diagram of a front-end big data platform development system according to an embodiment of the present invention;
FIG. 2 is another schematic structural diagram of a front-end big data platform development system according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for developing a front-end big data platform according to an embodiment of the present invention;
FIG. 4 is another specific flowchart of a method for developing a front-end big data platform according to an embodiment of the present invention;
FIG. 5 is another specific flowchart of a method for developing a front-end big data platform according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In describing the present invention, it is noted that the term "and/or" as used in this specification and the appended claims refers to and includes any and all combinations of one or more of the associated listed items.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The embodiment of the invention discloses a front-end big data platform development system, as shown in figure 1, the system comprises: the system comprises a business management module 1, an audit release module 2 and a front-end big data platform construction module 3.
The business management module 1 establishes a corresponding relation between a released module and a business type and a theme style according to the business type and the theme style selected by a user, and generates a business module;
the auditing and issuing module 2 audits the service module generated by the service management module and issues the service module which passes the audit;
the front-end big data platform construction module 3 selects a first business module from the published business modules according to the target business type and the target theme style of the user, and combines the first business modules to construct a front-end big data platform.
Illustratively, as an optional implementation manner of the present invention, when using the front-end big data platform development system, a user may select some desired service modules in the front-end big data platform construction module 3 by selecting a desired target service type and a desired target theme style, and then select other desired target service modules and other desired target theme styles, and after completing all selections of the user, the user may combine all selected service modules to construct the front-end big data platform, thereby saving the development time from code writing to service module forming, and improving the development efficiency.
Specifically, as shown in fig. 2, the service module 1 includes: a component calling module 11 and a service generation module 12, wherein,
the component calling module 11 calls a basic component corresponding to the service type and the theme style selected by the user according to the service type and the theme style selected by the user;
the service generation module 12 establishes a correspondence between the published module and the service type and the theme style according to the service type and the theme style selected by the user, and generates a service module according to the basic component called by the component calling module.
Specifically, as shown in fig. 2, the audit issuing module 2 includes: an auditing module 21 and a publishing module 22, wherein,
the auditing module 21 audits the service module generated by the service management module;
the issuing module 22 issues the service modules that are checked by the checking module 21.
Further, as shown in fig. 2, the system further includes: a registration module 4 and a selection module 5, wherein,
and the registration module 4 is used for receiving a registration development request of a user and distributing a system development account for the user based on the registration development request so that the user develops a service module based on the system development account.
And the selection module 5 is used for receiving the selection operation of the user and determining the service type and the theme style selected by the user based on the selection operation.
Illustratively, as an optional implementation manner of the present invention, the present invention provides a big data multidimensional front-end UI presentation style support to fulfill business requirements of data visualization, the front-end big data development system is a D-UI platform, the D-UI platform is developed by using VUE as a development core base language, and a user usage method scheme is defined by using a self-research base component of D-UI as a core development unit and a modularization as a basic encapsulation unit. And integrating the multidimensional service module by taking the D-UI market library as a developer application platform. And a big data ecological environment is formed by combining the use of the D-UI platform, and a big data platform front-end visual system is formed. The system can provide a front-end big data development system with modularization, stylization and customization.
The modularization refers to the development of modules according to business requirements, the modules are all formed in a component mode, each module is equivalent to the embodiment of one business requirement, a complete module needs attributes, methods and data support, the module can generate a unique ID (identity), the generation of the module needs six processes, and business support, interactive support, style support, module registration, module warehousing and module calling are realized. Stylization refers to the fact that the platform can match theme colors according to different business requirements, for example: the theme color of the layout frame, the theme color of the module, the theme color of the control unit and the scene dynamic effect of the module can configure corresponding style effects according to the business scene required by the user. The customization refers to customizing a corresponding module according to business requirements, wherein the function of the module needs to strictly comply with the development specification of a D-UI development model, and the business requirement module is customized through the processes of development, registration, warehousing, application and the like.
According to the front-end big data platform development system provided by the invention, any service module can be scheduled by a user through setting the service management module, the user is granted with the function development authority as long as the D-UI service management module is entered, the user can develop different function modules according to own requirements, and the service modules developed by the user can be published as long as the verification of the publishing module is verified to meet the preset development rule code compiling specification, so that the communication and the communication with other users are facilitated.
The embodiment of the invention discloses a front-end big data platform development method, as shown in figure 3, the method comprises the following steps:
Illustratively, the front-end big data development system can be a D-UI platform, and a user can select a service type and a theme style according to own requirements after registering in a D-UI official website through a registration module.
Specifically, according to the service type and the theme style selected by the user, a basic component corresponding to the service type and the theme style selected by the user is called, according to the service type and the theme style selected by the user, a corresponding relation between the published module and the service type and the theme style is established, and according to the basic component called by the component calling module, a service module is generated.
For example, a user may invoke a basic component corresponding to a service type and a theme style selected by the user in a component invoking module according to the service type and the theme style selected by the user, further establish a correspondence between a published module and the service type and the theme style according to the service type and the theme style selected by the user in a service generating module, and generate a service module according to the basic component invoked by the component invoking module.
And 303, auditing the service module, and issuing the service module which passes the auditing.
Specifically, a development specification is obtained, the business module is checked based on the development specification, and when the business module conforms to the development specification, the business module is determined to be checked to be passed.
Illustratively, the auditing module audits the service module generated by the service management module, and then the service module passing the auditing is sent to the publishing module for publishing.
And 304, selecting a first service module from the issued service modules to combine and construct a front-end big data platform.
For example, as an optional implementation manner of the present invention, as shown in fig. 4, when a developer uses the system, first, after registering through a registration module, the developer selects a theme style of a D-UI platform according to a theme style change, determines a service type to which the module belongs, calls a basic component provided by the D-UI platform, develops the basic component to generate a corresponding service module, and submits the service module to a platform warehousing application after the developer completes development and passes internal test, the D-UI platform checks whether a development specification of the platform is met according to a code provided by the developer, and gives a check notification, and the module designed by the developer after the check passes is allowed to enter the market and is entitled to be used publicly.
Illustratively, as another optional embodiment of the present invention, as shown in fig. 5, when a user uses a D-UI, the user firstly registers through a registration module, configures a service according to the service range of the user, selects a corresponding service type, a requirement module, and a theme style, and after determining the service type, the requirement module, and the theme style, submits an application to generate a configured service module, the D-UI generates a corresponding service requirement module according to the configuration requirement of the user, the D-UI platform generates a D-UI service module according to configured service information, and the user calls a D-UI service module identifier to develop and display a service scene, so as to generate a desired front-end big data platform.
In the invention, a developer can schedule any service module after registration, and the developer can open the function development permission as long as entering the service module library of the D-UI, the developer can schedule the module to complete the service requirement through the exclusive ID, and when the user uses the system, the user can apply the service module to the matched industry as long as the user simply assembles the service module, thereby improving the development efficiency and saving the user time.
An embodiment of the present invention further provides an electronic device, as shown in fig. 6, the electronic device may include a processor 601 and a memory 602, where the processor 601 and the memory 602 may be connected by a bus or in another manner, and fig. 6 illustrates an example of a connection by a bus.
The processor 601 may be a Central Processing Unit (CPU). The processor 601 may also be other general purpose processors, Digital signal processors (DAPs), Application specific Integrated circuits (AAICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or any combination thereof.
The memory 602, serving as a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the key shielding method of the front-end big data platform development device in the embodiments of the present invention. The processor 601 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 602, that is, implementing the front-end big data platform development method in the above method embodiments.
The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 601, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 602 may optionally include memory located remotely from the processor 601, which may be connected to the processor 601 through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 602 and, when executed by the processor 601, perform a front-end big data platform development method as in the embodiments of fig. 3-5.
The details of the electronic device may be understood with reference to the corresponding descriptions and effects in the embodiments shown in fig. 3-5, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Wherein, the storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a flash Memory (FlaAhMemory), a Hard disk (Hard DiAk Drive, abbreviated as HDD), or a solid state Drive (AAD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A front-end big data platform development system, comprising: the system comprises a business management module, an audit release module and a front-end big data platform construction module;
the business management module establishes a corresponding relation between the released module and the business type and the theme style according to the business type and the theme style selected by the user to generate a business module;
the auditing and issuing module audits the service module generated by the service management module and issues the service module which passes the audit;
the front-end big data platform construction module selects a first business module from the published business modules according to the target business type and the target theme style of the user, and combines the first business modules to construct a front-end big data platform.
2. The system of claim 1, wherein the service module comprises: a component calling module and a service generating module, wherein,
the component calling module calls a basic component corresponding to the service type and the theme style selected by the user according to the service type and the theme style selected by the user;
the service generation module establishes the corresponding relation between the released module and the service type and the theme style according to the service type and the theme style selected by the user, and generates the service module according to the basic component called by the component calling module.
3. The system of claim 1, wherein the audit issuance module comprises: an auditing module and a publishing module, wherein,
the auditing module audits the service module generated by the service management module;
and the issuing module issues the service module which is approved by the auditing module.
4. The system of claim 1, further comprising:
and the selection module is used for receiving the selection operation of the user and determining the service type and the theme style selected by the user based on the selection operation.
5. The system of claim 4, further comprising:
the registration module is used for receiving a registration development request of a user and distributing a system development account for the user based on the registration development request so that the user can develop a service module based on the system development account.
6. A front-end big data platform development method is characterized by comprising the following steps:
acquiring a service type and a theme style selected by a user;
generating a business module according to the business type and the theme style selected by the user;
auditing the service module, and issuing the approved service module;
and selecting a first service module from the released service modules to combine and construct a front-end big data platform.
7. The method of claim 6, wherein generating a business module according to the business type and theme style selected by the user comprises:
calling a basic component corresponding to the service type and the theme style selected by the user according to the service type and the theme style selected by the user;
establishing a corresponding relation between the released module and the business type and the theme style according to the business type and the theme style selected by the user;
and generating a business module according to the basic component called by the component calling module.
8. The method of claim 6, wherein the auditing the business module comprises:
acquiring a development specification;
auditing the business module based on the development specification;
and when the business module conforms to the development specification, determining that the business module is approved.
9. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the front-end big data platform development of any of claims 6-8.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of front-end big data platform development according to any of the claims 6 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111642294.4A CN114296706A (en) | 2021-12-29 | 2021-12-29 | Front-end big data platform development system and front-end big data platform development method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111642294.4A CN114296706A (en) | 2021-12-29 | 2021-12-29 | Front-end big data platform development system and front-end big data platform development method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114296706A true CN114296706A (en) | 2022-04-08 |
Family
ID=80970929
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111642294.4A Pending CN114296706A (en) | 2021-12-29 | 2021-12-29 | Front-end big data platform development system and front-end big data platform development method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114296706A (en) |
-
2021
- 2021-12-29 CN CN202111642294.4A patent/CN114296706A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI757743B (en) | Mini program generation method and device | |
| CN105765527B (en) | The method and apparatus of software development kit (SDK) for customization | |
| CN108228188B (en) | View component processing method, electronic device and readable storage medium | |
| US8694968B2 (en) | System for creating personalized and customized mobile devices | |
| CN110806863A (en) | Interface document generation method and device, electronic equipment and storage medium | |
| CN105814539B (en) | The method and apparatus generated for code virtualization and remote process call | |
| US11537606B2 (en) | Solution for implementing computing service based on structured query language statement | |
| CN110959165A (en) | Techniques for automatically verifying functionality of offers in a cloud service broker system | |
| CN114064024A (en) | Method, apparatus, device, storage medium, and program product for developing micro-application | |
| CN113946323A (en) | Online development method, device, equipment and storage medium based on micro-service system | |
| US9720702B2 (en) | Object-oriented programming system and library | |
| CN112711414B (en) | Form interface adaptation display method and device and storage medium | |
| CN114296706A (en) | Front-end big data platform development system and front-end big data platform development method | |
| CN112232751A (en) | Service data processing method, device, system, computer equipment and storage medium | |
| CN115776515A (en) | Software service providing method, device and equipment | |
| CN114489619A (en) | Interface view display method, terminal equipment and computer readable storage medium | |
| CN115220780A (en) | Service configuration method, device and equipment | |
| CN114911541A (en) | Configuration information processing method and device, electronic equipment and storage medium | |
| CN113626001A (en) | API dynamic editing method and device based on script | |
| CN114064169A (en) | Data display method and device and storage medium | |
| CN112363700A (en) | Cooperative creation method and device of intelligent contract, computer equipment and storage medium | |
| CN112068895A (en) | Code configuration method and device, video playing equipment and storage medium | |
| CN117555645B (en) | Data processing method, device, equipment and medium based on multi-terminal application platform | |
| CN116339736B (en) | Configuration method, device, equipment and storage medium of TCL (TCL) interactive interface | |
| CN116974558B (en) | Marketing billing activity H5 page development platform and development method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |