CN113031943A - Code generation method, device, storage medium and electronic equipment - Google Patents
Code generation method, device, storage medium and electronic equipment Download PDFInfo
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Abstract
The application discloses a code generation method, a code generation device, a storage medium and electronic equipment, and belongs to the technical field of computers. The code generation method comprises the following steps: acquiring target resource data, wherein the target resource data carries type information and attribute information, determining a target model corresponding to the target resource data based on the type information, wherein the target model comprises a corresponding target code generation rule, and generating a unique code corresponding to the target resource data according to the target code generation rule and the attribute information. Therefore, the method and the system reduce the complexity of multi-department and large-quantity resource data management.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a code generation method, apparatus, storage medium, and electronic device.
Background
With the increasing number of software applications, the amount of resource data required to be used is also increasing. In a management scene of developing related resources in the same company, various types of resources exist, each type of resource data is maintained by a special department and has different attributes, and a globally unique code needs to be allocated to each specific resource data in the resource integration process.
However, in the existing coding solution, a "unique code" attribute is added to each type of resource, and then a uniform "code generation service" interface is called to generate a unique code, which results in complex management of resource data.
Disclosure of Invention
The embodiment of the application provides a code generation method, a code generation device, a storage medium and electronic equipment, and solves the technical problem that management of resource data is complex in the prior art. The technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a code generation method, including:
acquiring target resource data; the target resource data carries type information and attribute information;
determining a target model corresponding to the target resource data based on the type information; wherein the target model contains corresponding target code generation rules;
and generating a unique code corresponding to the target resource data according to the target code generation rule and the attribute information.
In a second aspect, an embodiment of the present application provides an encoding generation apparatus, where the apparatus includes:
the first acquisition module is used for acquiring target resource data; the target resource data carries type information and attribute information;
a first determining module, configured to determine, based on the type information, a target model corresponding to the target resource data; wherein the target model contains corresponding target code generation rules;
and the generating module is used for generating a unique code corresponding to the target resource data according to the target code generating rule and the attribute information.
In a third aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the above-mentioned method steps.
In a fourth aspect, an embodiment of the present application provides an electronic device, including: a memory and a processor; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The beneficial effects brought by the technical scheme provided by some embodiments of the application at least comprise:
when the code generation method, the code generation device, the storage medium and the electronic equipment work, target resource data are obtained, wherein the target resource data carry type information and attribute information, a target model corresponding to the target resource data is determined based on the type information, the target model comprises a corresponding target code generation rule, and a unique code corresponding to the target resource data is generated according to the target code generation rule and the attribute information. According to the method and the device, the electronic equipment can generate the unique code according to the attribute information of each resource of each type of resource data quickly and conveniently by defining different models and code generation rules corresponding to different resource types, additional complex secondary development is not required to be introduced, meanwhile, the target model and the code generation rules can be modified at any time according to user requirements, and the complexity of multi-department resource data management is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic network architecture diagram of a generation system according to an embodiment of the present application;
fig. 2 is an interaction diagram of a code generation method provided in an embodiment of the present application;
fig. 3 is another interaction diagram of a code generation method provided in an embodiment of the present application;
fig. 4 is a schematic diagram of a receiving resource according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a query resource provided by an embodiment of the present application;
FIG. 6 is a schematic diagram of a modification model provided by an embodiment of the present application;
FIG. 7 is a schematic diagram of query encoding provided by an embodiment of the present application;
FIG. 8 is another schematic diagram of query encoding provided by an embodiment of the present application;
fig. 9 is a schematic structural diagram of an encoding generation apparatus according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The following description refers to the accompanying drawings in which like numerals refer to the same or similar elements throughout the different views, unless otherwise specified. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.
In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The present application will be described in detail with reference to specific examples.
Fig. 1 illustrates an exemplary system architecture 100 that may be applied to the code generation methods of the present application.
As shown in fig. 1, system architecture 100 may include a user 101, an electronic device 102, and a network 103. The network 103 is used to provide a medium for communication links between the user 101 and the electronic device 102. For example, when the system architecture 100 is applied to online live broadcasting, the user 101 may be a teacher or a student in an online live broadcasting course, a research and development background, and other people, the user 101 may be configured to trigger various instructions on the electronic device 102, the electronic device 102 may be a teacher client, a student client, a background management server, and other devices, and the electronic device 102 may be, but is not limited to, configured to read various instructions triggered by the user 101, decode the instructions, and execute the instructions. Illustratively, in the process of conducting an online live course, a user 101 (for example, but not limited to, a teacher's nail) needs to upload a piece of audio/video data in order to more intuitively explain a certain concept, the user 101 (for example, but not limited to, the teacher's nail) may click a load button through a mouse to trigger the loading of the uploaded audio/video data 1 service, then an electronic device (for example, but not limited to, the teacher's client) acquires target resource data of the audio/video data 1, generates a unique code based on a corresponding target model, and other users (for example, but not limited to, the teacher's nail) may download the target resource data (i.e., the audio/video data 1) according to the unique code and.
The electronic device 102 may be hardware or software. When the electronic device 102 is hardware, it may be a variety of electronic devices with code generation rules, including but not limited to smart phones, tablets, laptop portable computers, desktop computers, and the like. When the electronic device 102 is software, it may be implemented as a plurality of software or software modules (for example, for providing a distributed storage service), or may be implemented as a single software or software module, and is not limited in particular.
The network 103 may include various types of wired or wireless communication links, and the user 101 and the electronic device 102 may interact with each other via the network 103, for example: the wired communication link includes an optical fiber, a twisted pair wire or a coaxial cable, and the Wireless communication link includes a bluetooth communication link, a Wireless-Fidelity (Wi-Fi) communication link, a microwave communication link, or the like.
It should be understood that the number of users 101, electronic devices 102, and networks 103 in fig. 1 is merely illustrative. There may be any number of users 101, electronic devices 102, and networks 103, as desired for the implementation.
In the following method embodiments, for convenience of description, only the main execution subject of each step is described as an electronic device.
The code generation method provided by the embodiment of the present application will be described in detail below with reference to fig. 2 to 3.
Please refer to fig. 2, which provides an interactive schematic diagram of a code generation method according to an embodiment of the present application. The method may comprise the steps of:
s201, acquiring target resource data.
Generally, resource data may refer to resources in a computer network system, and may be divided into three major categories: data resources, software resources, and hardware resources. For example: the data resources may include data such as picture data, audio-video data, file data, and domain names, the software resources may include system software (such as, but not limited to, operating software, protocol software, etc.) and user software (such as, but not limited to, live lesson software, resource management software, middleware cluster, etc.), and the hardware resources may include a host, a storage hard disk, and a display, etc. The resource data can be coordinated with each other to fulfill various business requirements of the user on the electronic device.
The target resource data may be any resource data in a computer network system, where the target resource data does not specifically refer to a specific resource data or a specific resource data, and is not specifically limited, and may be resource data acquired by a current operation of a user, so as to distinguish the target resource data from other resource data being called for another purpose.
The target resource data carries type information and attribute information, the type information may be information for characterizing a type of the target resource data, and may include multiple types, such as an application class, a host class, a service class, a middleware class, a domain name class, and an interface class, and the electronic device may be divided into different types according to a specific application scenario, which is not specifically limited herein. The attribute information may refer to information of a characteristic or property or state of the target resource data, and different types of resource data may include different attribute information, such as: the target resource data of the application class may include attribute information such as a summary, a department to which the application class belongs, a Message Queue (MQ) cluster, a relational database management system MySql cluster, an Identity Document (ID) of a service end, a name of the service end, a project group, the service end, an application name, a target path, an application principal, a programming language, a Git warehouse address of a distributed version control system, an application template, an application description, an upload date, and a download update record. The target resource data for the host class may include attribute information such as a summary, a department, a host name, a host type, a service provider, a product line, an operating system, a host environment, and the like. The attribute information may be inherent to the resource data itself, or may be customized by a user or a technician, which is helpful to increase the applicability of the application, and is convenient for the technician to set according to actual needs, and is not specifically limited here.
The electronic device may determine the type information and the attribute information of the target resource data by reading a header file of the target resource data and then parsing the header file, for example: the electronic equipment can determine the type of the resource data as a data type by determining that the format of the resource data is a bmp format or a jpg format, and then can determine that the attribute information comprises information such as a file type, an opening mode, a position, a size, an occupied space, creation time and the like by reading a header file of the resource data in the bmp format or the jpg format. The electronic equipment can also preset the corresponding relation between the type information and the attribute information and the information identification, and then the electronic equipment can inquire the specific type information and the attribute information of the target resource data in the corresponding relation between the type information and the attribute information on the network server and the information identification by determining the information identification of the target resource data, and receive the inquiry result sent by the network server, thereby being beneficial to the electronic equipment to quickly and accurately determine the information of the target resource data.
The electronic device may obtain the target resource data in various ways, which is not specifically limited herein, and the electronic device may receive the target resource data reported by other associated devices, for example: the resource management platform server can receive a pressure measurement scheme uploaded by a technician A using the host a in the live broadcast pressure measurement department. The electronic device can also crawl target resource data meeting a certain condition on the internet through a crawler technology, such as: the direct template material research department can crawl relevant resource data about explaining the dream of the red mansions on the internet. The electronic device may also receive target resource data uploaded by the user, such as: in the online live broadcast system, the student A shares life videos and the like for other students and teachers, or the resource management platform server can receive a first school-period English course teaching template of six grades uploaded by the teacher B, and the electronic equipment is facilitated to acquire target resource data more conveniently and diversely.
S202, determining a target model corresponding to the target resource data based on the type information.
Generally, after acquiring target resource data, an electronic device may determine a target model corresponding to the target resource data. The target model may be an abstract data structure for describing homogeneous resource data, may be understood as a table structure in a database, etc., and may include parameters or attributes such as codes, display names, data types, descriptions, name attributes, default values, etc., which are used herein to distinguish other types of models. The electronic device can customize various attributes of the target model, including adding, modifying, deleting, and the like, and the target model can be used to determine the unique code of the target resource data. The electronic device determines the target resource data in various ways, which are not specifically limited herein, for example: the electronic device may determine, through type information carried by the target resource data, a target model corresponding to the target resource data, determine that the target resource data is a host type, and then determine, through a corresponding relationship between the type information and the target model, that the target model is a target model of the host type, where the corresponding relationship between the type information and the target model may be stored locally or in a cloud (for example, but not limited to a storage server), which is helpful for reducing a storage space of the electronic device and improving operation efficiency.
The target model includes a corresponding target code generation rule, where the target code generation rule may refer to a rule, a method, or a function for obtaining a corresponding code according to attribute information of resource data, and the target model and the code generation rule may be in a one-to-one correspondence, where the correspondence is not particularly limited, and may be in the form of a relationship correspondence table or the like. The code generation rule may also be one parameter of the target model, and the logical relationship between the code generation rule and the target model is not particularly limited, and may be determined according to the actual use condition, which is helpful for the electronic device to determine the target code generation rule quickly, conveniently and accurately.
In the existing coding solution, a unique code attribute is added to each type of resource, and then a unique code generation service interface is called to generate a unique code, in order to obtain the unique code, in the prior art, a table or a column needs to be newly created for each resource, and then attributes such as a main key (or possibly dynamic) of resource data are obtained to obtain the unique code, so that a large amount of development and maintenance codes are needed, and the management of the resource data is complex. In the application, the unique codes are generated by defining the corresponding models for different types of resource data, after the models are defined, the coding rules of each type of resource data can be set manually, information such as attributes and the like is not required to be input, a storage structure is changed by newly building columns, tables and the like, maintenance and modification are facilitated, management attributes (addition, deletion and modification) are defined, technical personnel can meet user requirements conveniently, and development workload is reduced.
S203, generating a unique code corresponding to the target resource data according to the target code generation rule and the attribute information.
Generally, after determining the target model corresponding to the target resource data based on the type information, the electronic device generates a unique code corresponding to the target resource data. The unique code may refer to a unique identification code used to facilitate management of the resource data, and may be in various representations and combinations of numbers, english, symbols, and the like, and is not limited herein. The electronic device may first determine all attribute information of the target resource data, then obtain part or all of the attribute information of the target resource data through the target model, obtain a unique code through the target code generation rule, and the number and form of the attribute information input into the target code generation rule may be customized in advance, for example: the supplier of the target model determination central processor is high pass, model number is V2, name is mobile phone processor, number is 356254 and the like, and the code generation rule can be that adding the model number and the number results in unique code V2356254. The number and type of the input attributes of the code generation rule and the form of the rule (such as but not limited to addition, hash value superposition, etc.) can be set by a user in a customized manner, and can also be modified in real time according to a user instruction without specific limitation, so that diversified rules (such as but not limited to confidentiality, etc.) can be defined conveniently.
In a possible embodiment, after the electronic device generates the unique code corresponding to the target resource data, the unique code and other attribute information (such as, but not limited to, a storage address, etc.) of the target resource data may be set to be in a corresponding relationship, where the manner of setting the corresponding relationship includes uploading to a database in a storage server, etc. The electronic equipment can be called and the like on a plurality of departments and platforms through the unique coded information, so that the multi-department business processing is facilitated, and the maintenance and the management are convenient.
According to the content, target resource data are obtained, wherein the target resource data carry type information and attribute information, a target model corresponding to the target resource data is determined based on the type information, the target model comprises a corresponding target code generation rule, and a unique code corresponding to the target resource data is generated according to the target code generation rule and the attribute information. According to the electronic equipment, through defining different models and code generation rules corresponding to different resource types, unique codes can be generated quickly and conveniently according to the attribute information of each resource of each type of resource data, additional complex secondary development is not required to be introduced, meanwhile, the target model and the code generation rules can be modified at any time according to user requirements, and the complexity of multi-department resource data management is reduced.
Referring to fig. 3, another interactive schematic diagram of a code generation method is provided in the embodiment of the present application. The code generation method may include the steps of:
s301, obtaining sample type information of at least one type and sample common attribute information corresponding to each sample type information.
Generally, the sample type information may be type information used to define a corresponding model, and the sample common attribute information may be attribute information commonly owned by the same type of resource data. For example: the electronic equipment can obtain two sample type information of a data type and a software type, the data type can comprise two resource data of a picture a and an audio video b, wherein the picture a can comprise attribute information of a file type, an opening mode, a position, an occupied space and the like, the video b can comprise attribute information of a file type, a position, a frame rate, a format and the like, and then the file type and the position can be used as sample common attributes corresponding to the data type by the electronic equipment. In one possible embodiment, the electronic device may receive sample type information reported by a user and sample common attribute information corresponding to each sample type information. The electronic equipment can also search all local resources to obtain the sample type information and the sample common attribute information corresponding to each sample type information, and the electronic equipment is favorable for quickly and conveniently obtaining resource data.
S302, determining corresponding sample models according to the sample type information, and determining sample code generation rules corresponding to the sample models according to the common attributes of the samples.
Generally, after obtaining sample type information of at least one type and sample common attribute information corresponding to each sample type information, the electronic device may determine each corresponding sample model according to each sample type information, and determine a sample code generation rule corresponding to each sample model according to each sample common attribute. For example: the electronic equipment can define a sample template of the data type to obtain the common attribute file type, the position, the opening mode and the like of the sample, and the corresponding sample code generation rule can be set to be that the first item and the second item are added, namely the file type and the position are added, so that the unique code can be generated according to the existing attribute and other information, and the development workload is reduced. The electronic device may define a sample template of the application type as an application name type, a development company, a version number, and the like for obtaining a sample common attribute, and the corresponding sample code generation rule may be set to add the first item and the third item, that is, add the name type and the version number.
S303, receiving newly added resource data uploaded by a user, and inquiring whether the newly added resource data has a corresponding unique code.
Generally, the newly added resource data may refer to resource data uploaded by a current user, and is not specifically limited to a certain resource or a certain class of resources, which is used for distinguishing other resources in the electronic device. After determining the sample code generation rule corresponding to each sample model according to the common attributes of each sample, the electronic device may receive the newly added resource data uploaded by the user, as shown in fig. 4, the user may first select the resource data (for example, but not limited to, file 1) to be uploaded, and then may upload the file 1 to the electronic device by clicking a "determine upload" button on the display screen of the electronic device. Then, the electronic device may query whether the newly added resource data has a corresponding unique code, where the query manner is not limited, for example: the electronic device can mark the resource data which has generated the unique code as 1, and the resource data which has not generated the unique code is set as 0, so that the electronic device can quickly traverse all the resource data, determine whether the newly added resource data has generated the unique code, and prevent the situation of repeated codes caused by various reasons such as repeated uploading and the like, and waste computer resources.
S304, if the newly added resource data does not have the corresponding unique code, the newly added resource data is taken as target resource data.
Generally, after querying whether the newly added resource data has a corresponding unique code, if the newly added resource data has a corresponding unique code, the electronic device does not need to generate the unique code corresponding to the newly added resource data again, and if the newly added resource data does not have a corresponding unique code, the newly added resource data is used as target resource data, that is, the electronic device subsequently needs to generate the unique code corresponding to the newly added resource data.
In a possible embodiment, the electronic device may further query, at a preset time (for example, but not limited to, a set time period is 2 hours), all local resource information, query whether corresponding unique codes exist in all resource data, and if uncoded resource data exists in all resource data, take the uncoded resource data as target resource data. As shown in fig. 5, assuming that the preset time is 12:00, at a non-preset time (for example, but not limited to 11:49), the electronic device does not perform the task of querying resources, starting at 12:00, the query duration may be customized (for example, but not limited to 20 minutes), the electronic device performs the service of querying all local resource information, may also perform the current query progress on the electronic device, and the like, and perform the query service in the background so as to avoid hindering the electronic device from performing the current service, which is beneficial to reasonably allocating the service by the electronic device, and avoiding an operating condition of wasting resources or lacking resources.
S305, determining corresponding target metadata based on the type information, and determining a target model corresponding to the target resource data according to the target metadata.
Generally, the target resource data carries type information and attribute information, the target metadata may be data describing data, mainly may be information describing attributes of the data, and may be used to support functions such as indicating a storage location, history data, resource searching, file recording, and the like, and the target metadata is not limited to a certain type or a certain type of metadata, but is distinguished from metadata corresponding to other types, for example: the target metadata may include information such as metadata ID, name, asset type, description, version, etc. After the electronic device obtains the target resource data, it may determine the corresponding target metadata based on the type information, for example: the electronic device determines that the target resource data is an application (such as, but not limited to, live online software) type, and then determines that target metadata corresponding to the application type may include information such as a host type, a Media Access Control Address (Mac) Address, a host principal, an os kernel release version, and a product line.
Then, the electronic device may determine, according to the target metadata, an application target model corresponding to the type of the application (for example, but not limited to, live online software), and may obtain, through the application target model, all specific parameters of the target metadata of the target model corresponding to the target resource data. That is, after the electronic device receives the reported resource data, the electronic device may load the corresponding target model according to the type information carried by the resource data, then determine the specific parameters of the metadata of the target model (for example, but not limited to, the attribute information of the resource data and the corresponding code generation rule), and finally, the electronic device may input the specific parameters of the metadata of the target model (i.e., the attribute set data of the resource data) according to the code generation rule, calculate the code generation rule, and generate a unique code, which is helpful for the electronic device to accurately and quickly determine the target model.
S306, receiving a model modification instruction, and modifying target metadata of the target model based on the model modification instruction, wherein the target metadata corresponds to the target code generation rule.
In general, a model modification instruction may refer to an instruction (e.g., without limitation, an instruction to add, delete, modify, etc.) to modify metadata of a model corresponding to a certain type of resource data. After determining the target model corresponding to the target resource data, the electronic device may further receive a model modification instruction, and modify the target metadata of the target model based on the model modification instruction, for example: the electronic device firstly determines, through the object model, that the first item of the object model metadata (i.e. the specific attribute information of the object resource data) is a service line: no. 3 service line and the second item are the areas to which the machines belong: the B area and the third item are the number of processor cores: 4 cores, the corresponding target code generation rule is to use the first item and the second item of the target metadata to be added.
Then, the electronic device determines, according to the model modification instruction, that the first item of the modified target model metadata (i.e. the specific attribute information of the target resource data) is a service line: no. 3 service line, the second item is the machine said area: the B area and the third item are the number of processor cores: and 6 cores, wherein the corresponding target code generation rule is addition of the first item and the third item using the target metadata. The target metadata corresponds to the target code generation rule, which may be understood as that the target code generation rule is one of metadata in the target model, for example: the fourth item is a resource unique identifier generation rule: the first term and the second term are added, and it can also be understood that the target code generation rule and the target model have a corresponding relationship, and the logical relationship and the specific corresponding manner are not particularly limited. As shown in fig. 6, a user may first modify the metadata of the target model on a model modification interface, where if the start service line is No. 3 and the machine belonging area is a B area, the current service line is No. 2 and the machine belonging area is an a area, modify the metadata by clicking a "confirm modify" button on the electronic device, and finally view the current information of the model on the current model metadata interface, which is helpful for the electronic device to process unique codes for batch production of similar resource data.
S307, taking the modified target model as a target model corresponding to the target resource data, and generating a unique code corresponding to the target resource data according to the target code generation rule and the attribute information.
Generally, after the electronic device modifies the target metadata of the target model based on the model modification instruction, for example: the electronic device determines that the first item of the modified target model metadata (i.e. the specific attribute information of the target resource data) is a service line: no. 3 service line, the second item is the machine said area: the B area and the third item are the number of processor cores: and 6 cores, wherein the corresponding target code generation rule is b3631c65241c991c979bfddaad4ef1e1 obtained by adding the first item and the third item of the target metadata, and the electronic device takes the value as the unique code corresponding to the target resource data.
S308, judging whether the unique code corresponding to the target resource data is repeated, and replacing the historical resource data with the target resource data when the unique code corresponding to the target resource data is repeated.
Generally, the historical resource data may refer to resource data that has generated a unique code, and does not refer to a specific resource data or a specific type of resource data, so as to distinguish the target resource data. In order to ensure global uniqueness of encoded data, after generating a unique code corresponding to the target resource data, it may also be determined whether the unique code corresponding to the target resource data is repeated, for example: the electronic device may traverse a preset unique code table, where the unique code table may be used to record all generated unique codes and related information (for example, but not limited to, a storage address, and the like), and then determine whether the generated unique code already exists, if not, the electronic device may determine that the target resource data is new data, and if so, the electronic device may determine that the target resource data is an update of history resource data (for example, but not limited to, a document of newly added content), and may replace the history resource data with the target resource data, thereby ensuring global uniqueness of the generated code, and preventing the electronic device from processing the generated code repeatedly and wasting resources.
S309, obtaining a query instruction, determining a corresponding target unique code according to the first query code, and querying data information of resource data corresponding to the target unique code.
Generally, the query instruction carries a first query code, the query instruction may be an instruction used to query other various information of the corresponding resource data according to the encoding information, and the first query code may be the unique code. The data information may include all attribute information, storage address, and various customized information of the resource data, and is not specifically limited herein, and may be set according to an actual use situation. After generating the unique code corresponding to the target resource data, the electronic device may further query data information of the resource data corresponding to the first query code, for example: the electronic device parses the query instruction to determine that the first query code is 123456789, and then the electronic device may use 123456789 as the target unique code, which may refer to the code that needs to be queried currently, and in order to distinguish from other unique codes, the data information that the electronic device may query for the corresponding resource data through 123456789 may include a storage address: c, data of \ Users \ Desktop, occupied space 300KB and the like. As shown in fig. 7, the electronic device determines a unique code (for example, but not limited to 123456), and then, by clicking a "query" button on a code query interface on the electronic device, various information of corresponding resource data can be queried, which facilitates user operation and improves user experience.
And S310, operating the resource data corresponding to the target unique code based on the data information.
Generally, after querying the data information of the resource data corresponding to the target unique code, the electronic device may further perform an operation (for example, but not limited to, deleting, modifying, adding, copying, and the like) on the resource data corresponding to the target unique code based on the data information, for example: the data information of the corresponding resource data inquired by the electronic equipment comprises a storage address: and C, quickly deleting the resource data and the like through the address information. After the electronic device generates the unique code of the resource data, in order to conveniently manage a large amount of resource data, a resource management platform can be created, and the resource management platform can be mainly used for generating the unique code of the resource data and performing storage, query, update and other processing.
In a possible embodiment, the electronic device may further obtain a relationship query instruction, where the relationship query instruction carries a second query code and a third query code, the second query code corresponds to the first resource data, and the third query code corresponds to the second resource data, and then determine relationship information between the first resource data and the second resource data according to the second query code and the third query code. For example: the electronic equipment analyzes the relation query instruction, determines that the second query code is 123456789 and the third query code is 987654321, and then can input the two query codes in the resource management platform to obtain relation information which belongs to the same resource application, the same department development and application to the same project and the like. As shown in fig. 8, the electronic device determines two unique codes (e.g., without limitation, 123456 and 456789), and then can query the relationship between the corresponding two resource data by clicking on the "relationship query" button on the coded relationship query interface on the electronic device.
When the scheme of the embodiment of the application is executed, target resource data are obtained, wherein the target resource data carry type information and attribute information, a target model corresponding to the target resource data is determined based on the type information, the target model comprises a corresponding target code generation rule, and a unique code corresponding to the target resource data is generated according to the target code generation rule and the attribute information. According to the electronic equipment, through defining different models and code generation rules corresponding to different resource types, unique codes can be generated quickly and conveniently according to the attribute information of each resource of each type of resource data, additional complex secondary development is not required to be introduced, meanwhile, the target model and the code generation rules can be modified at any time according to user requirements, and the complexity of multi-department resource data management is reduced.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 9, a schematic structural diagram of an encoding generating apparatus provided in an exemplary embodiment of the present application is shown, which is hereinafter referred to as generating apparatus 9. The generating means 9 may be implemented by software, hardware or a combination of both as all or part of the terminal. The method comprises the following steps:
a first obtaining module 901, configured to obtain target resource data; the target resource data carries type information and attribute information;
a first determining module 902, configured to determine, based on the type information, a target model corresponding to the target resource data; wherein the target model contains corresponding target code generation rules;
a generating module 903, configured to generate a unique code corresponding to the target resource data according to the target code generation rule and the attribute information.
In a possible embodiment, the generating means 9 further comprise:
the second acquisition module is used for acquiring sample type information of at least one type and sample common attribute information corresponding to each sample type information;
and the second determining module is used for determining corresponding sample models according to the sample type information and determining sample code generating rules corresponding to the sample models according to the common attributes of the samples.
In a possible embodiment, the first obtaining module 901 includes:
the first query unit is used for receiving newly added resource data uploaded by a user and querying whether the newly added resource data has a corresponding unique code;
and the first determining unit is used for taking the newly added resource data as target resource data if the newly added resource data does not have the corresponding unique code.
In a possible embodiment, the first obtaining module 901 includes:
the second query unit is used for querying all local resource information at a preset moment and querying whether all the resource data have corresponding unique codes or not;
a second determining unit, configured to, if there is uncoded resource data in all the resource data, take the uncoded resource data as target resource data.
In one possible embodiment, the first determining module 902 comprises:
a third determining unit, configured to determine target metadata corresponding to the type information based on the type information;
and the fourth determining unit is used for determining the target model corresponding to the target resource data according to the target metadata.
In a possible embodiment, the generating means 9 further comprise:
the first receiving module is used for receiving a model modification instruction and modifying target metadata of the target model based on the model modification instruction, wherein the target metadata corresponds to the target code generation rule;
and the third determining module is used for taking the modified target model as a target model corresponding to the target resource data.
In a possible embodiment, the generating means 9 further comprise:
the judging module is used for judging whether the unique code corresponding to the target resource data is repeated;
and the replacing module is used for replacing the historical resource data with the target resource data when the unique code corresponding to the target resource data is repeated.
In a possible embodiment, the generating means 9 further comprise:
the second receiving module is used for acquiring a query instruction; wherein the query instruction carries a first query code;
the first query module is used for determining a corresponding target unique code according to the first query code and querying data information of the resource data corresponding to the target unique code;
and the operation module is used for operating the resource data corresponding to the target unique code based on the data information.
In a possible embodiment, the generating means 9 further comprise:
the third receiving module is used for acquiring a relation query instruction; the relation query instruction carries a second query code and a third query code, the second query code corresponds to the first resource data, and the third query code corresponds to the second resource data;
and the fourth determining module is used for determining the relation information of the first resource data and the second resource data according to the second query code and the third query code.
The embodiment of the present application and the method embodiments of fig. 2 to 3 are based on the same concept, and the technical effects brought by the embodiment are also the same, and the specific process may refer to the description of the method embodiments of fig. 2 to 3, and will not be described again here.
The device 9 may be a field-programmable gate array (FPGA), an application-specific integrated chip, a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit, a Micro Controller Unit (MCU), or a Programmable Logic Device (PLD) or other integrated chips.
When the scheme of the embodiment of the application is executed, target resource data are obtained, wherein the target resource data carry type information and attribute information, a target model corresponding to the target resource data is determined based on the type information, the target model comprises a corresponding target code generation rule, and a unique code corresponding to the target resource data is generated according to the target code generation rule and the attribute information. According to the electronic equipment, through defining different models and code generation rules corresponding to different resource types, unique codes can be generated quickly and conveniently according to the attribute information of each resource of each type of resource data, additional complex secondary development is not required to be introduced, meanwhile, the target model and the code generation rules can be modified at any time according to user requirements, and the complexity of multi-department resource data management is reduced.
An embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executing the above method steps, and a specific execution process may refer to specific descriptions of the embodiment shown in fig. 2 or fig. 3, which is not described herein again.
The present application further provides a computer program product, which stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the template control method according to the above embodiments.
Please refer to fig. 10, which provides a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 10, the electronic device 10 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002.
Wherein a communication bus 1002 is used to enable connective communication between these components.
The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
The Memory 1005 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable medium. The memory 1005 may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory 1005 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 10, the memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a code generation application program.
In the electronic device 1000 shown in fig. 10, the user interface 1003 is mainly used as an interface for providing input for a user, and acquiring data input by the user; the processor 1001 may be configured to call the code generation application stored in the memory 1005, and specifically perform the following operations:
acquiring target resource data; the target resource data carries type information and attribute information;
determining a target model corresponding to the target resource data based on the type information; wherein the target model contains corresponding target code generation rules;
and generating a unique code corresponding to the target resource data according to the target code generation rule and the attribute information.
In one embodiment, before the processor 1001 executes the acquiring of the target resource data, the processor is further configured to:
obtaining sample type information of at least one type and sample common attribute information corresponding to each sample type information;
and determining corresponding sample models according to the sample type information, and determining sample code generation rules corresponding to the sample models according to the common attributes of the samples.
In an embodiment, when the processor 1001 executes the acquiring of the target resource data, it specifically executes:
receiving newly added resource data uploaded by a user, and inquiring whether the newly added resource data has a corresponding unique code;
and if the newly added resource data does not have the corresponding unique code, taking the newly added resource data as target resource data.
In an embodiment, when the processor 1001 executes the acquiring of the target resource data, it specifically executes:
inquiring local all resource information at a preset moment, and inquiring whether all resource data have corresponding unique codes or not;
and if the uncoded resource data exist in all the resource data, taking the uncoded resource data as target resource data.
In an embodiment, when the processor 1001 executes the type information to determine the target model corresponding to the target resource data, specifically:
determining target metadata corresponding to the type information based on the type information;
and determining a target model corresponding to the target resource data according to the target metadata.
In one embodiment, after the processor 1001 executes the target model corresponding to the target resource data determined based on the type information, it is further configured to execute:
receiving a model modification instruction, and modifying target metadata of the target model based on the model modification instruction, wherein the target metadata corresponds to the target code generation rule;
and taking the modified target model as a target model corresponding to the target resource data.
In an embodiment, after the processor 1001 executes the unique code corresponding to the target resource data generated according to the target code generation rule and the attribute information, it is further configured to execute:
judging whether the unique code corresponding to the target resource data is repeated;
and when the unique code corresponding to the target resource data is repeated, replacing the target resource data with the historical resource data.
In an embodiment, after the processor 1001 executes the unique code corresponding to the target resource data generated according to the target code generation rule and the attribute information, it is further configured to execute:
acquiring a query instruction; wherein the query instruction carries a first query code;
determining a corresponding target unique code according to the first query code, and querying data information of resource data corresponding to the target unique code;
and operating the resource data corresponding to the target unique code based on the data information.
In an embodiment, after the processor 1001 executes the unique code corresponding to the target resource data generated according to the target code generation rule and the attribute information, it is further configured to execute:
acquiring a relation query instruction; the relation query instruction carries a second query code and a third query code, the second query code corresponds to the first resource data, and the third query code corresponds to the second resource data;
and determining the relation information of the first resource data and the second resource data according to the second query code and the third query code.
The technical concept of the embodiment of the present application is the same as that of fig. 2 or fig. 3, and the specific process may refer to the method embodiment of fig. 2 or fig. 3, which is not described herein again.
In the embodiment of the application, target resource data are obtained, wherein the target resource data carry type information and attribute information, a target model corresponding to the target resource data is determined based on the type information, the target model comprises a corresponding target code generation rule, and a unique code corresponding to the target resource data is generated according to the target code generation rule and the attribute information. According to the electronic equipment, through defining different models and code generation rules corresponding to different resource types, unique codes can be generated quickly and conveniently according to the attribute information of each resource of each type of resource data, additional complex secondary development is not required to be introduced, meanwhile, the target model and the code generation rules can be modified at any time according to user requirements, and the complexity of multi-department resource data management is reduced.
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. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.
Claims (12)
1. A code generation method, the method comprising:
acquiring target resource data; the target resource data carries type information and attribute information;
determining a target model corresponding to the target resource data based on the type information; wherein the target model contains corresponding target code generation rules;
and generating a unique code corresponding to the target resource data according to the target code generation rule and the attribute information.
2. The method of claim 1, wherein before the obtaining the target resource data, further comprising:
obtaining sample type information of at least one type and sample common attribute information corresponding to each sample type information;
and determining corresponding sample models according to the sample type information, and determining sample code generation rules corresponding to the sample models according to the common attributes of the samples.
3. The method of claim 1, wherein the obtaining target resource data comprises:
receiving newly added resource data uploaded by a user, and inquiring whether the newly added resource data has a corresponding unique code;
and if the newly added resource data does not have the corresponding unique code, taking the newly added resource data as target resource data.
4. The method of claim 1, wherein the obtaining target resource data comprises:
inquiring local all resource information at a preset moment, and inquiring whether all resource data have corresponding unique codes or not;
and if the uncoded resource data exist in all the resource data, taking the uncoded resource data as target resource data.
5. The method of claim 1, wherein the determining the target model corresponding to the target resource data based on the type information comprises:
determining target metadata corresponding to the type information based on the type information;
and determining a target model corresponding to the target resource data according to the target metadata.
6. The method of claim 1, wherein after determining the target model corresponding to the target resource data based on the type information, further comprising:
receiving a model modification instruction, and modifying target metadata of the target model based on the model modification instruction, wherein the target metadata corresponds to the target code generation rule;
and taking the modified target model as a target model corresponding to the target resource data.
7. The method according to claim 1, wherein after generating the unique code corresponding to the target resource data according to the target code generation rule and the attribute information, the method further comprises:
judging whether the unique code corresponding to the target resource data is repeated;
and when the unique code corresponding to the target resource data is repeated, replacing the target resource data with the historical resource data.
8. The method according to claim 1, wherein after generating the unique code corresponding to the target resource data according to the target code generation rule and the attribute information, the method further comprises:
acquiring a query instruction; wherein the query instruction carries a first query code;
determining a corresponding target unique code according to the first query code, and querying data information of resource data corresponding to the target unique code;
and operating the resource data corresponding to the target unique code based on the data information.
9. The method according to claim 1, wherein after generating the unique code corresponding to the target resource data according to the target code generation rule and the attribute information, the method further comprises:
acquiring a relation query instruction; the relation query instruction carries a second query code and a third query code, the second query code corresponds to the first resource data, and the third query code corresponds to the second resource data;
and determining the relation information of the first resource data and the second resource data according to the second query code and the third query code.
10. An encoding generation apparatus, comprising:
the first acquisition module is used for acquiring target resource data; the target resource data carries type information and attribute information;
a first determining module, configured to determine, based on the type information, a target model corresponding to the target resource data; wherein the target model contains corresponding target code generation rules;
and the generating module is used for generating a unique code corresponding to the target resource data according to the target code generating rule and the attribute information.
11. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to carry out the method steps according to any one of claims 1 to 9.
12. An electronic device, comprising: a memory and a processor; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1 to 9.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114205329A (en) * | 2021-11-16 | 2022-03-18 | 杭州华橙软件技术有限公司 | Equipment coding method and device |
| CN115033936A (en) * | 2022-06-10 | 2022-09-09 | 广州旭璟自动化控制设备有限公司 | Material model management method for SolidWorks system |
| CN115757413A (en) * | 2022-11-23 | 2023-03-07 | 中电金信软件有限公司 | Data encoding method and device and electronic equipment |
| CN117149160A (en) * | 2023-08-23 | 2023-12-01 | 浙江十勇士网络科技有限公司 | Mobile phone game resource packaging method, system and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106920019A (en) * | 2015-12-24 | 2017-07-04 | 北京计算机技术及应用研究所 | Multi-class coding management system |
| CN107833605A (en) * | 2017-03-14 | 2018-03-23 | 北京大瑞集思技术有限公司 | A kind of coding method, device, server and the system of hospital's medical record information |
| CN109542965A (en) * | 2018-11-07 | 2019-03-29 | 平安医疗健康管理股份有限公司 | A kind of data processing method, electronic equipment and storage medium |
| CN110362542A (en) * | 2019-07-15 | 2019-10-22 | 岭澳核电有限公司 | Nuclear power station document No. method, apparatus, computer equipment and storage medium |
| CN110491465A (en) * | 2019-08-20 | 2019-11-22 | 山东众阳健康科技集团有限公司 | Classification of diseases coding method, system, equipment and medium based on deep learning |
-
2021
- 2021-03-29 CN CN202110337148.4A patent/CN113031943A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106920019A (en) * | 2015-12-24 | 2017-07-04 | 北京计算机技术及应用研究所 | Multi-class coding management system |
| CN107833605A (en) * | 2017-03-14 | 2018-03-23 | 北京大瑞集思技术有限公司 | A kind of coding method, device, server and the system of hospital's medical record information |
| CN109542965A (en) * | 2018-11-07 | 2019-03-29 | 平安医疗健康管理股份有限公司 | A kind of data processing method, electronic equipment and storage medium |
| CN110362542A (en) * | 2019-07-15 | 2019-10-22 | 岭澳核电有限公司 | Nuclear power station document No. method, apparatus, computer equipment and storage medium |
| CN110491465A (en) * | 2019-08-20 | 2019-11-22 | 山东众阳健康科技集团有限公司 | Classification of diseases coding method, system, equipment and medium based on deep learning |
Non-Patent Citations (1)
| Title |
|---|
| 蒋建军;王俊彪;郭立峰;刘鹰;: "多目标约束下制造信息编码模型研究", 机械科学与技术, no. 01, 15 January 2008 (2008-01-15) * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114205329A (en) * | 2021-11-16 | 2022-03-18 | 杭州华橙软件技术有限公司 | Equipment coding method and device |
| CN115033936A (en) * | 2022-06-10 | 2022-09-09 | 广州旭璟自动化控制设备有限公司 | Material model management method for SolidWorks system |
| CN115757413A (en) * | 2022-11-23 | 2023-03-07 | 中电金信软件有限公司 | Data encoding method and device and electronic equipment |
| CN115757413B (en) * | 2022-11-23 | 2024-01-19 | 中电金信软件有限公司 | Data coding method and device and electronic equipment |
| CN117149160A (en) * | 2023-08-23 | 2023-12-01 | 浙江十勇士网络科技有限公司 | Mobile phone game resource packaging method, system and storage medium |
| CN117149160B (en) * | 2023-08-23 | 2024-04-02 | 浙江十勇士网络科技有限公司 | Mobile phone game resource packaging method, system and storage medium |
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