CN112286902A - Intelligent application development system based on cloud computing and big data - Google Patents
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Abstract
The invention discloses an intelligent application development system based on cloud computing and big data, wherein the system comprises: the system comprises an intelligent application development subsystem and a data analysis engine, wherein the data analysis engine is connected with the intelligent application development subsystem based on a database interface and is used for analyzing data; the intelligent application development subsystem comprises a unified UI module, a logic integration interface module, an application development standard module, an application development document management module, a butt joint debugging test module, a simple configuration management module, an application service module and an application supermarket module. In the embodiment of the invention, under the condition of ensuring information safety, full data sharing and application are realized, data free combination analysis is realized, and most analysis requirements are covered.
Description
Technical Field
The invention relates to the technical field of application development, in particular to an intelligent application development system based on cloud computing and big data.
Background
At present, in a traditional information analysis application system, the premise of providing accurate and reliable decision reference is to use foreseeable experience and sufficient analysis time, and the increasingly highlighted information problems of dynamism and complexity cannot be met; under the background of big data, the demand for information analysis does not trend to a certain characteristic singly, but simultaneously meets the characteristic requirements of strategic deep thought and dynamic emergency, thereby not only requiring the accuracy and reliability of analysis, but also providing higher requirements for timeliness; the problem of incompatibility with new-age intelligence requirements is also increasingly highlighted: the analysis of the correlation collision among the mass data is difficult; function is solidified, and information analysts are limited in thinking; temporary, urgent, uncertain demand statistical analysis difficulties; the system is high in use threshold, the policemen cannot use … … flexibly to solve the problems, each business department room is inquired and summarized manually by depending on the battle of people and sea and overtime, or assistance background processing of science and technology departments and operation and maintenance companies is sought, the workload is huge, the construction period and the quality cannot be guaranteed, each business department room is always tired of coping, and the pressure is huge.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides an intelligent application development system based on cloud computing and big data, which can realize full data sharing and application, realize free combination analysis of data and cover most analysis requirements under the condition of ensuring information safety.
In order to solve the above technical problem, an embodiment of the present invention provides an intelligent application development system based on cloud computing and big data, where the system includes: the system comprises an intelligent application development subsystem and a data analysis engine, wherein the data analysis engine is connected with the intelligent application development subsystem based on a database interface and is used for analyzing data; the intelligent application development subsystem comprises a unified UI module, a logic integration interface module, an application development standard module, an application development document management module, a butt joint debugging test module, a simple configuration management module, an application service module and an application supermarket module;
the unified UI module is used for ensuring the unification of the UI integrated by the system and the logic and calling the UI through the unified UI; the logic integration interface module is used for providing a logic contact interface specification and a server side interface design specification; the application development specification module is used for providing interface specification specifications according to different interfaces; the application development document management module is used for managing according to a knowledge base mode; the butt joint debugging test module is used for providing a butt joint debugging test; the reduced configuration management module is used for providing visual configuration management; the application service module is used for realizing that the created application can release related application service in a service release mode, and can be hung on a resource service bus for being called by a third party application; the application supermarket module is used for managing applications.
Optionally, the data analysis engine includes a distributed relational database engine and a big data center, and the distributed relational database engine is connected to the big data center based on the ETL to perform data extraction and data synchronization on data in the big data center.
Optionally, the unified UI module includes a design guide unit, a unified UI calling method unit, and a unified UI matching test unit; wherein,
the design guide unit is used for establishing friendly, efficient and consistent user experience in the system and adapting to and supporting different user requirements;
the unified UI calling method unit is used for providing a type or a method for calling styles and providing a calling method for directly calling forms and character styles;
the unified UI matching test unit is used for providing a UI matching test of a test version, and allows a caller to carry out secondary design and matching compatibility while carrying out logic test.
Optionally, the interface specification includes an interface description, an interface declaration, an input parameter, an output parameter, and an exception specification.
Optionally, the managing according to the knowledge base mode includes:
and performing document writing standard management, naming standard management and version management according to a knowledge base mode.
Optionally, the providing the joint debugging test includes:
and providing a test description of the joint debugging, a test application of the joint debugging, an audit confirmation of the joint debugging and feedback of a joint debugging result.
Optionally, the reduction configuration management module includes a data source configuration unit, a data form configuration unit, a data model configuration unit, a process engine configuration unit, a query model configuration unit, a portal page configuration unit, a statistical analysis configuration unit, and a full-text retrieval model configuration unit; wherein,
the data source configuration unit is used for configuring data source names, drivers, user names, passwords, URLs, maximum connection numbers, maximum waiting time and verification statements;
the data form configuration unit is used for providing a data form configuration function, and the data form configuration comprises data form setting, form management and flow hooking;
the data model configuration unit is used for providing basic information configuration, model attribute setting configuration, model parameter setting configuration and model filtering condition setting configuration;
the flow engine configuration unit is used for providing a graphical flow editor;
the query model configuration unit is used for providing report basic information configuration, report attribute information configuration, report parameter configuration, report tracking, report detail editing configuration and report template editing configuration.
The portal page configuration unit is used for providing configuration including portal function areas, layout and layout;
the statistical analysis configuration unit is used for performing classified statistical analysis service on various structured data to obtain a statistical analysis result;
the full-text retrieval model configuration unit is used for providing full-text retrieval for the resource library, and comprises full-text retrieval resource configuration, resource attribute configuration, retrieval result list configuration and link configuration.
Optionally, the supermarket application module includes an application classification unit, an application release unit, an application audit unit, an application loading unit, an application retrieval unit, an application evaluation unit and an application management unit; wherein,
the application classification unit is used for classifying the applications according to the service cognition mode;
the application issuing unit is used for issuing the application;
the application auditing unit is used for auditing application release applications submitted by application managers;
the application loading unit is used for providing the application for the application which is hooked;
the application retrieval unit is used for carrying out application retrieval according to the modes of competitive product recommendation, application names, application classification and popular application;
the application evaluation unit is used for performing character evaluation and/or star level evaluation according to the use condition of the application;
the application management unit is used for performing background version control and update frequency management on the application.
In the embodiment of the invention, under the condition of ensuring information safety, full data sharing and application are realized, data free combination analysis is realized, and most analysis requirements are covered; data comprehension is improved, so that common dry police can understand data; the information analysis technology threshold is reduced, the policeman can play the information analysis, the creativity of the policeman is fully realized, the on-site inquiry and the autonomous analysis of the public security information are efficiently carried out, and the working efficiency of the application of the public security service information is comprehensively 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, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural composition diagram of an intelligent application development system based on cloud computing and big data according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Examples
Referring to fig. 1, fig. 1 is a schematic structural composition diagram of an intelligent application development system based on cloud computing and big data according to an embodiment of the present invention.
As shown in fig. 1, an intelligent application development system based on cloud computing and big data, the system comprising: the system comprises an intelligent application development subsystem and a data analysis engine, wherein the data analysis engine is connected with the intelligent application development subsystem based on a database interface and is used for analyzing data; the intelligent application development subsystem comprises a unified UI module, a logic integration interface module, an application development standard module, an application development document management module, a butt joint debugging test module, a simple configuration management module, an application service module and an application supermarket module; the unified UI module is used for ensuring the unification of the UI integrated by the system and the logic and calling the UI through the unified UI; the logic integration interface module is used for providing a logic contact interface specification and a server side interface design specification; the application development specification module is used for providing interface specification specifications according to different interfaces; the application development document management module is used for managing according to a knowledge base mode; the butt joint debugging test module is used for providing a butt joint debugging test; the reduced configuration management module is used for providing visual configuration management; the application service module is used for realizing that the created application can release related application service in a service release mode, and can be hung on a resource service bus for being called by a third party application; the application supermarket module is used for managing applications.
Specifically, the unified UI module is mainly used for ensuring the system UI unification of system and logic integration, so as to provide unified UI call, and the content mainly includes a unified UI configuration description, a style call code set, and a unified UI matching test. The logic integration interface module is mainly used for meeting the interface call of different manufacturers to system integration, providing a logic integration interface (API) specification and a service side interface design specification and facilitating the logic integration call. The application development specification module provides interface specification specifications mainly according to different interfaces, including but not limited to interface description, interface declaration, input parameters, output parameters, exception specification and the like. The application development document management module is mainly used for managing contents including document writing specifications, naming specifications, version management and the like according to a knowledge base mode. The butt joint debugging test module is mainly used for ensuring the smooth online of an application system and providing butt joint debugging tests, and the butt joint debugging tests comprise butt joint debugging test descriptions, butt joint debugging test application, butt joint debugging audit confirmation and butt joint debugging result feedback. The simplified configuration management module provides visual configuration management functions, including data source configuration, data form configuration, data model configuration, process engine configuration, query model configuration, portal page configuration, statistical analysis configuration and full-text retrieval model configuration. The application service module can realize that the created application can release the related application service in a service release mode, and can be hung on the resource service bus for being called by a third party application. The supermarket application module comprises application classification, application release, application audit, application loading, application retrieval, application evaluation and application management.
And a big data distributed computing mode is adopted, so that the system can easily process the data computing requirements of massive big files or small files up to PB level. With distributed service technology, deployment, management, and service, and delivery of functionality is made easier using a distributed service cloud architecture and platform in decentralized components. The information security and the data sharing are both achieved. The system realizes that the data is available but invisible through ingenious data authority management design, and the user can still use the finished data to freely and flexibly analyze and obtain an analysis conclusion under the condition that the user cannot obtain complete basic data, so that the information safety and the information sharing are realized. The bottleneck of function solidification of the traditional system is broken through. The system is flexibly applicable to various actual combat application scenes, belongs to a tool type data application system, and can be set by self-definition for any information user of the system, such as self-definition of support data sources, self-definition of a screening mode, self-definition of screening conditions, self-definition of modeling, self-definition of a release model and the like. The limitation that the traditional system can analyze and apply data only according to the system research and development stage and the pre-customized conditions, modes and the like is broken through. The system is flexibly suitable for more than 90% of actual combat application scenes through a freely combined analysis model, and the investment of customized functional development cost can be greatly reduced. The dependence on engineers is eliminated, and the service response efficiency is improved. The system provides a 'fool' data screening and graphical and visual data modeling process, and reduces the information analysis threshold. The first-line policeman can independently complete information analysis, get rid of dependence on technical engineers, and improve service response efficiency. The analysis thinking of policemen can be passed on the land and shared. The system can easily realize the thinking of policemen, supports users to publish and share the models created by the users, and all levels of information analysts can use the models according to the permission to realize the sharing and the precipitation of the information analysis models. The system has high performance. In a real-time online environment, billions of data accurately inquire millisecond-level response, fuzzy inquiry is carried out for seconds, second-level response is simply analyzed, and minute response is complexly analyzed. The invention relates to an intelligent application development system based on cloud computing and big data, which has the following design principle: the method is characterized in that a universal, practical, good-use and durable construction principle is adhered to, an open and flexible technical framework is adopted, a basic data source is provided by depending on each system of the existing public security, and the multivariate mass data storage and the big data rapid calculation are realized by adopting a crystal distributed relational database system under the condition of not changing the existing system framework. A plurality of management functions including resource definition, field definition (including display name, field type and the like), resource classification, resource cataloging and the like based on the data table level are provided, the monitoring of collected data resources is realized, and the data quality is improved in an auxiliary mode. The method provides a simple, intuitive and 'fool' data screening mode for the user and is convenient for data query. The method provides an easy-to-use graphical data modeling function, realizes any collision analysis among multiple data, and visually displays a modeling idea in a flow chart mode. The created model can be released and shared according to the authority, the mode that the traditional application function is developed by a software engineer is changed, and people are all generators of the application function.
In the specific implementation process of the invention, the data analysis engine comprises a distributed relational database engine and a big data center, and the distributed relational database engine is connected with the big data center based on the ETL to extract and synchronize data in the big data center.
Specifically, the distributed relational database engine is used for data analysis, and the big data center is used for storing data.
In the specific implementation process of the invention, the unified UI module comprises a design guide unit, a unified UI calling method unit and a unified UI matching test unit; wherein the design guide unit is used for establishing friendly, efficient and consistent user experience in the system, and adapting and supporting different user requirements; the unified UI calling method unit is used for providing a type or a method for calling styles and providing a calling method for directly calling forms and character styles; the unified UI matching test unit is used for providing a UI matching test of a test version, and allows a caller to carry out secondary design and matching compatibility while carrying out logic test.
Specifically, the unified UI module is mainly used for ensuring the uniformity of the system UI of system and logic integration, so as to provide unified UI call, and the content mainly includes a design guide unit, a unified UI call method unit and a unified UI matching test unit. Design guidance unit: the method is established on the basis of fully respecting the design will of the user, aims to establish friendly, efficient and consistent user experience in the ecology of a large data platform, adapts to and supports different requirements to the greatest extent, and realizes the win-win between the user and the system. Friendly politeness, emphasis, clarity, color scheme, loading feedback, visual specification, other specifications are provided. Unified UI calls method Unit: the method provides a class or a method for calling styles, and directly calls the styles such as forms and characters. Unified UI match test Unit: the UI matching test of the test version is provided, so that a developer can conveniently perform logic calling test, and a caller is allowed to perform secondary design and matching compatibility.
In the implementation process of the invention, the interface specification comprises interface description, interface declaration, input parameters, output parameters and exception specification.
Specifically, the interface specification includes an interface description, an interface declaration, an input parameter, an output parameter, and an exception specification. Interface description: the interface between the request party and the scheduling control subsystem of the request service platform consists of a task sending interface and a task receiving interface. And (3) interface declaration: string sendTask (SubTask SubTask, String ip, String port); inputting parameters: the input parameters of the task sending interface are described as follows: subtask: task objects, i.e. task objects to be sent (SubTask), must be provided; ip: the IP address of the scheduling node, namely the IP address of the scheduling node hooked by the requester, must be provided; port: the port of the dispatching node, i.e. the network communication port of the hooked dispatching node, must be provided. Outputting parameters: the output parameter of the task sending interface is a corresponding task ID generated after the scheduling node checks the task object list in the input parameter, and the type of the corresponding task ID is a character string. The description of the abnormality is shown in Table 1
TABLE 1
In a specific implementation process of the present invention, the managing according to the knowledge base mode includes: and performing document writing standard management, naming standard management and version management according to a knowledge base mode.
In a specific implementation process of the present invention, the providing of the joint debugging test includes: and providing a test description of the joint debugging, a test application of the joint debugging, an audit confirmation of the joint debugging and feedback of a joint debugging result.
In the specific implementation process of the invention, the simplified configuration management module comprises a data source configuration unit, a data form configuration unit, a data model configuration unit, a process engine configuration unit, a query model configuration unit, a portal page configuration unit, a statistical analysis configuration unit and a full-text retrieval model configuration unit; the data source configuration unit is used for configuring data source names, drivers, user names, passwords, URLs, maximum connection numbers, maximum waiting time and verification statements; the data form configuration unit is used for providing a data form configuration function, and the data form configuration comprises data form setting, form management and flow hooking; the data model configuration unit is used for providing basic information configuration, model attribute setting configuration, model parameter setting configuration and model filtering condition setting configuration; the flow engine configuration unit is used for providing a graphical flow editor; the query model configuration unit is used for providing report basic information configuration, report attribute information configuration, report parameter configuration, report tracking, report detail editing configuration and report template editing configuration; the portal page configuration unit is used for providing configuration including portal function areas, layout and layout; the statistical analysis configuration unit is used for performing classified statistical analysis service on various structured data to obtain a statistical analysis result; the full-text retrieval model configuration unit is used for providing full-text retrieval for the resource library, and comprises full-text retrieval resource configuration, resource attribute configuration, retrieval result list configuration and link configuration.
Specifically, the data source configuration unit configures the data source name, the driver, the user name, the password, the URL, the maximum connection number, the maximum waiting time, the verification statement, and the like. In the configuration data driving module, data type driving configuration such as an Oracle database, big data hive, Hybase, Hbase and the like is supported; and after the configuration is successfully stored, performing data test connection configuration and verifying whether the data source configuration is successful. The data form configuration unit provides a data form configuration function, and can generate a related filled data form according to the form configuration function. The data form configuration comprises data form setting, form management and process hooking. 1) The data table configuration supports setting data fields, data names, data presentation modes (space, single selection, multiple selection, drop-down list). The system supports the separation of the data table definition and the form definition, supports the same data table to correspond to a plurality of forms, supports the automatic generation of a database table structure of the data table, and supports the copying of the data table. 2) The form management supports import of Word and Excel, association of the form and a data table, drawing of the form in a form editor, statistics, query, analysis, export and the like of form data, difference of a display template and a printing template and copying of the form. 3) The flow hooking support adopts a BS interface to draw a flow and a form for hooking. The data model configuration unit comprises the management of adding, editing, deleting, copying, authorizing, exporting and importing the model. The configuration of the data model supports model basic information configuration, model attribute setting configuration, model parameter setting configuration and model filtering condition setting configuration. 1) Setting model basic information: editing and configuring the model name, the data source, the model classification, the editing template, the cache strategy, the timing strategy, the script type and the script statement; 2) setting model attributes: initializing the model and editing the related attribute information of the model; 3) Setting model parameters: defining the alias, class name, source and display sequence of the parameters of the model; 4) setting filtering conditions: the filter condition name, the filter condition script, and the like are set. The process engine configuration unit provides a graphical process editor, comprising: 1) pure B/S graphical process editor: providing a WEB graphical process editor tool in a pure B/S mode, supporting dragging, dragging and dragging, and drawing a flow chart which is what you see is, wherein when a service changes, a user can correspondingly and automatically modify or adjust; 2) setting a flow: the method supports multiple applications such as conditional routing, sequential flow, branch flow, concurrent flow, nested sub-flow and automatic return sub-flow, and can set any complex condition to determine the flow direction of the flow; 3) designing a form: the method supports the same service form and can bind a plurality of different data tables; the data table structure, the form and the flow can be copied; 4) selecting and designing by an approver: the examination and approval authority can be set in various modes such as posts, roles, departments, leaders, candidates, fields in forms, jobs and the like; 5) a flow customization tool: a graphical flow customization tool is provided, and can be created and displayed intuitively and quickly; 6) and (3) authority management: and performing form binding, role setting, action setting and authority control on each step of the process, and setting corresponding viewing, modifying and controlling authorities for different processes. The query model configuration unit supports operations of query model addition, editing, deletion, release, sharing, operation, import, export and the like; the method supports report basic information configuration, report attribute information configuration, report parameter configuration, report tracking, report detail editing configuration and report template editing configuration. 1) Configuring report basic information: setting contents such as a report name, a report return record number, whether repeated data is filtered, whether a log is recorded, a report type, a parent-level report, a report inquiry template, a report detail template, a report excel template, a default chart type and the like; 2) setting report attributes: setting the contents of attribute names, display names, whether to display, sequencing, statistical modes, widths, display rules, combined headers and the like of the report; 3) report parameters: setting the contents of the display name, the relation symbol, the operational character, the parameter source and the like of the report; 4) report tracking: supporting the addition, editing and batch generation of hierarchical drill-down of the drill-down report; 5) and editing report details: the method supports layout configuration, data list configuration, image list configuration, interactive component configuration, relational analysis model configuration and subject report attribute configuration. 6) Editing a report template: the method supports a customized report template, and the template content supports bureau configuration, data list configuration, image list configuration, interactive component configuration, relational analysis model configuration and subject report attribute configuration. The portal page configuration unit provides portal configuration functions including portal function areas, layout, format and other configuration functions so as to meet the requirements of different police and different leaders. The statistical analysis configuration unit realizes classification statistical analysis service on various structured data, so that comprehensive statistical analysis results in various forms are generated. The method comprises the following steps: 1) selecting a chart configuration: conventional line graphs, histograms, scatter plots, pie charts, K-line graphs, box plots for statistics, maps for geographical data visualization, thermodynamic diagrams, line graphs, relationship graphs for relationship data visualization, treemap, asahi, parallel coordinates for multi-dimensional data visualization, as well as funnel graphs for BI, dashboards, and support mash-ups between graphs. In addition to the built-in diagrams containing rich functionality, a custom series is provided that can be mapped from data to a desired graph with only one function being passed in and can be used in conjunction with existing interactive components. 2) And (3) three-dimensional visualization configuration: the three-dimensional visual component based on the WebGL can be used for drawing three-dimensional histograms of earth, building groups and population distribution as easily as an ECharts common component, and different levels of picture configuration items are provided on the basis, so that a user can configure the three-dimensional histograms according to requirements. 3) Front-end representation of big data: by the incremental rendering technology and various careful optimizations, tens of millions of data volumes can be displayed, and smooth interaction such as scaling and translation can still be performed in the data volume. Meanwhile, convection loading is supported, WebSocket can be used or data can be loaded after being blocked, the number of renderings is loaded, and drawing is not required to be performed after all data are loaded. 4) And supporting mobile terminal exhibition: the fine-grained modularization and the packaging mechanism can enable the diagram to have a small volume at the mobile end, and the optional SVG rendering module enables the memory of the mobile end to occupy and not catch the elbow. The full-text retrieval model configuration unit provides full-text retrieval for the resource library, the model configuration mainly realizes addition and deactivation of various full-text retrieval resources, and newly added resources and classification are set through a model configuration function. The full-text retrieval model configuration mainly comprises the following steps: full-text retrieval resources can be added in an online configuration mode through functions of full-text retrieval resource configuration, resource attribute configuration, retrieval result list configuration, link configuration and the like. The resource catalog configuration comprises five elements of public security, namely people, articles, events, organizations and places. The dimensions of retrieval name, retrieval condition, sorting and the like can be configured.
In the specific implementation process of the invention, the supermarket application module comprises an application classification unit, an application release unit, an application auditing unit, an application loading unit, an application retrieval unit, an application evaluation unit and an application management unit; the application classification unit is used for classifying applications according to a service cognition mode; the application issuing unit is used for issuing the application; the application auditing unit is used for auditing application release applications submitted by application managers; the application loading unit is used for providing the application for the application which is hooked; the application retrieval unit is used for carrying out application retrieval according to the modes of competitive product recommendation, application names, application classification and popular application; the application evaluation unit is used for performing character evaluation and/or star level evaluation according to the use condition of the application; the application management unit is used for performing background version control and update frequency management on the application.
Specifically, the application classification unit is used for establishing an application classification function, so that applications are classified according to a service cognition mode, and convenience is brought to users for issuing and selecting. The application publishing unit is used for providing an application publishing function, each application responsible person publishes the application, the application publishing comprises descriptions such as application names, application introduction, application icons and application positioning, application verification is carried out by an application supermarket manager after the application is published, and the application can be brought into an application supermarket after the application is approved. The application auditing unit is used for auditing application release applications submitted by each application manager, and the applications can be released to classification columns of related application supermarkets after the auditing is finished. The application loading unit is used for hanging the hung application, the platform provides the hanging of the application, and after the hanging, the application program is installed and butted according to the installation guide specification so as to meet the normal use of the application. The application retrieval unit is used for the platform to retrieve various applications which are hooked or released in an application supermarket according to various modes such as boutique recommendation, application names, application classification and popular application, so that the applications required by the platform can be found. The application evaluation unit can evaluate the issued application according to the use condition, and the evaluation comprises two modes of character evaluation and star level evaluation. The application management unit is used for performing background management on the applications incorporated into the platform according to a supermarket management mode, and the background management comprises version control, updating frequency and the like.
In the embodiment of the invention, under the condition of ensuring information safety, full data sharing and application are realized, data free combination analysis is realized, and most analysis requirements are covered; data comprehension is improved, so that common dry police can understand data; the information analysis technology threshold is reduced, the policeman can play the information analysis, the creativity of the policeman is fully realized, the on-site inquiry and the autonomous analysis of the public security information are efficiently carried out, and the working efficiency of the application of the public security service information is comprehensively improved.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.
In addition, the intelligent application development system based on cloud computing and big data provided by the embodiment of the invention is described in detail, a specific embodiment is adopted to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (8)
1. An intelligent application development system based on cloud computing and big data, the system comprising: the system comprises an intelligent application development subsystem and a data analysis engine, wherein the data analysis engine is connected with the intelligent application development subsystem based on a database interface and is used for analyzing data; the intelligent application development subsystem comprises a unified UI module, a logic integration interface module, an application development standard module, an application development document management module, a butt joint debugging test module, a simple configuration management module, an application service module and an application supermarket module;
the unified UI module is used for ensuring the unification of the UI integrated by the system and the logic and calling the UI through the unified UI; the logic integration interface module is used for providing a logic contact interface specification and a server side interface design specification; the application development specification module is used for providing interface specification specifications according to different interfaces; the application development document management module is used for managing according to a knowledge base mode; the butt joint debugging test module is used for providing a butt joint debugging test; the reduced configuration management module is used for providing visual configuration management; the application service module is used for realizing that the created application can release related application service in a service release mode, and can be hung on a resource service bus for being called by a third party application; the application supermarket module is used for managing applications.
2. The intelligent application development system according to claim 1, wherein the data analysis engine comprises a distributed relational database engine and a big data center, the distributed relational database engine is connected with the big data center based on ETL, and data extraction and data synchronization are performed on data in the big data center.
3. The intelligent application development system according to claim 1, wherein the unified UI module comprises a design guide unit, a unified UI call method unit, and a unified UI matching test unit; wherein,
the design guide unit is used for establishing friendly, efficient and consistent user experience in the system and adapting to and supporting different user requirements;
the unified UI calling method unit is used for providing a type or a method for calling styles and providing a calling method for directly calling forms and character styles;
the unified UI matching test unit is used for providing a UI matching test of a test version, and allows a caller to carry out secondary design and matching compatibility while carrying out logic test.
4. The intelligent application development system according to claim 1, wherein the interface specification includes interface description, interface declaration, input parameters, output parameters, and exception specification.
5. The intelligent application development system of claim 1, wherein the managing in a knowledge base manner comprises:
and performing document writing standard management, naming standard management and version management according to a knowledge base mode.
6. The intelligent application development system of claim 1, wherein the providing docking joint debugging tests comprises:
and providing a test description of the joint debugging, a test application of the joint debugging, an audit confirmation of the joint debugging and feedback of a joint debugging result.
7. The intelligent application development system according to claim 1, wherein the reduced configuration management module comprises a data source configuration unit, a data form configuration unit, a data model configuration unit, a process engine configuration unit, a query model configuration unit, a portal page configuration unit, a statistical analysis configuration unit, and a full text retrieval model configuration unit; wherein,
the data source configuration unit is used for configuring data source names, drivers, user names, passwords, URLs, maximum connection numbers, maximum waiting time and verification statements;
the data form configuration unit is used for providing a data form configuration function, and the data form configuration comprises data form setting, form management and flow hooking;
the data model configuration unit is used for providing basic information configuration, model attribute setting configuration, model parameter setting configuration and model filtering condition setting configuration;
the flow engine configuration unit is used for providing a graphical flow editor;
the query model configuration unit is used for providing report basic information configuration, report attribute information configuration, report parameter configuration, report tracking, report detail editing configuration and report template editing configuration;
the portal page configuration unit is used for providing configuration including portal function areas, layout and layout;
the statistical analysis configuration unit is used for performing classified statistical analysis service on various structured data to obtain a statistical analysis result;
the full-text retrieval model configuration unit is used for providing full-text retrieval for the resource library, and comprises full-text retrieval resource configuration, resource attribute configuration, retrieval result list configuration and link configuration.
8. The intelligent application development system according to claim 1, wherein the supermarket application module comprises an application classification unit, an application release unit, an application audit unit, an application loading unit, an application retrieval unit, an application evaluation unit and an application management unit; wherein,
the application classification unit is used for classifying the applications according to the service cognition mode;
the application issuing unit is used for issuing the application;
the application auditing unit is used for auditing application release applications submitted by application managers;
the application loading unit is used for providing the application for the application which is hooked;
the application retrieval unit is used for carrying out application retrieval according to the modes of competitive product recommendation, application names, application classification and popular application;
the application evaluation unit is used for performing character evaluation and/or star level evaluation according to the use condition of the application;
the application management unit is used for performing background version control and update frequency management on the application.
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