CN111311362A - Product attribute updating method and system - Google Patents
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Abstract
The invention discloses a method and a system for updating product attributes, wherein the method comprises the following steps: responding to the input of a user, acquiring attribute data of a target subordinate cloud platform to be updated and a selling price updating rule of the target subordinate cloud platform, wherein the attribute data comprises a product model and a selling price of a product; determining a target selling price of a higher-level cloud platform corresponding to the product model of the target lower-level cloud platform; and updating the sales price of the target subordinate cloud platform based on the matching relation between the product model of the target subordinate cloud platform and the product model stored in the database, the sales price updating rule and the target sales price of the superior cloud platform. The invention quickly realizes the synchronization of the cross-platform attribute data between the superior cloud platform and the subordinate cloud platform, thereby shortening the waiting time of the subordinate cloud platform for developing new services.
Description
Technical Field
The invention relates to the technical field of computer resource configuration management, in particular to a product attribute updating method and system.
Background
With the development of cloud computing technology, a large number of agents sell products under each public cloud service provider, and the cloud products need to synchronously update data of subordinate cloud platforms when the new models of the cloud products are online and pricing is adjusted. Generally, the product model and the platform selling price are configured separately by configuring the product model and the price separately in each platform and logging into each cloud platform.
However, in the prior art, the workload required for new product models and prices is large, configuration errors are likely to occur in the configuration process, and the more the configurations are, the more errors are likely to occur, thereby bringing a great obstacle to the development of services between the upper-level cloud platform and the lower-level cloud platform.
In view of the above, there is a need to improve the service development technology between the upper level cloud platform and the lower level cloud platform in the prior art to solve the above problems.
Disclosure of Invention
The invention aims to disclose a product attribute updating method and a product attribute updating system, which are used for quickly realizing the aim of synchronizing attribute data between cloud platforms so as to shorten the waiting time of a subordinate cloud platform for developing new services.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, a product attribute updating method is provided, including:
responding to the input of a user, acquiring attribute data of a target subordinate cloud platform to be updated and a selling price updating rule of the target subordinate cloud platform, wherein the attribute data comprises a product model and a selling price of a product;
determining a target selling price of a higher-level cloud platform corresponding to the product model of the target lower-level cloud platform;
and updating the sales price of the target subordinate cloud platform based on the matching relationship between the product model of the target subordinate cloud platform and the product model stored in the database, the sales price updating rule and the target sales price of the superior cloud platform.
In a second aspect, a product property update system is provided, comprising:
the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for determining attribute data of a target subordinate cloud platform to be updated and a selling price updating rule of the target subordinate cloud platform, and the attribute data comprises a product model and a selling price of a product;
the data synchronization unit is used for determining a target selling price of a higher-level cloud platform corresponding to the product model of the target lower-level cloud platform;
and the data updating unit is used for updating the selling price of the target subordinate cloud platform based on the matching relation between the product model of the target subordinate cloud platform and the product model stored in the database, the selling price updating rule and the target selling price of the superior cloud platform.
In a third aspect, a computer-readable medium is provided, wherein computer program instructions are stored in the computer-readable medium, and when the computer program instructions are read and executed by a processor, the computer program instructions perform the steps of the method according to the first aspect.
In a fourth aspect, there is also provided a terminal device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method according to the first aspect.
Compared with the prior art, the invention has the following beneficial effects:
according to the product attribute updating method, the attribute data of the target subordinate cloud platform to be updated and the selling price updating rule of the target subordinate cloud platform are obtained, and the target selling price of the superior cloud platform corresponding to the product model of the target subordinate cloud platform is determined, so that the selling price of the target subordinate cloud platform is updated according to the matching relation between the product model of the target subordinate cloud platform and the product model stored in the database, the selling price updating rule and the target selling price of the superior cloud platform, and the target subordinate cloud platform can have the product model and the selling price newly released by the superior cloud platform. Therefore, the product attribute updating method can quickly synchronize the attribute data of the higher-level cloud platform to the attribute data of the target lower-level cloud platform, and compared with the scheme that product models and sale prices need to be configured independently by each cloud platform in the prior art, the time for configuring the attribute data between the higher-level cloud platform and the lower-level cloud platform can be greatly shortened, so that the purpose of quickly synchronizing the attribute data between the cloud platforms is realized, and the waiting time for the lower-level cloud platform to develop new services is shortened.
Drawings
FIG. 1 is a schematic flow chart diagram of a product attribute update method of one embodiment of the present invention;
FIG. 2 is a schematic diagram of a data synchronization interface according to an embodiment of the invention;
FIG. 3 is a diagram illustrating selection of a data window according to one embodiment of the present invention;
FIG. 4 is a schematic flow chart diagram of a product attribute update method according to another embodiment of the present invention;
FIG. 5 is a schematic flow chart diagram of a product attribute update method according to yet another embodiment of the present invention;
FIG. 6 is a schematic flow chart diagram of a product attribute update method in accordance with one embodiment of the present invention;
FIG. 7 is a block diagram of a schematic structure of a product property update system according to an embodiment of the present invention;
FIG. 8 is a topological diagram of a computer-readable medium according to the present invention.
Detailed Description
The present invention is described in detail with reference to the embodiments shown in the drawings, but it should be understood that these embodiments are not intended to limit the present invention, and those skilled in the art should understand that functional, methodological, or structural equivalents or substitutions made by these embodiments are within the scope of the present invention.
Before describing in detail the various embodiments of the present invention, the core inventive concepts of the present invention are summarized and described in detail by the following several embodiments.
The "higher-level cloud platform" refers to a cloud platform selling cloud resources, and provides services such as resources and product information for a lower-level cloud platform.
The lower-level cloud platform refers to a cloud platform which independently sells cloud resources, and resource and product information is acquired from a higher-level cloud platform.
The applicant intends to bring the invention to the details of the specific technical solutions contained in the present invention by showing several examples below.
The first embodiment is as follows:
fig. 1 is a schematic flowchart of a product attribute updating method according to an embodiment of the present invention, so as to quickly achieve the purpose of attribute data synchronization between cloud platforms. The product attribute updating method of the embodiment of the invention comprises the following steps:
and 102, responding to the input of a user, acquiring attribute data of a target subordinate cloud platform to be updated and a selling price updating rule of the target subordinate cloud platform by the superior cloud platform, wherein the attribute data comprises a product model and a selling price of a product.
Generally, as shown in fig. 2, a user may input on a data synchronization interface of a superior cloud platform (e.g., click a select data button), a select data window appears, and the user inputs on the select data window, as shown in fig. 3, to select attribute data and a sales price update rule that need to be synchronized.
And 104, determining a target selling price of the upper cloud platform corresponding to the product model of the target lower cloud platform by the upper cloud platform.
As shown in fig. 4, after acquiring the attribute data of the target subordinate cloud platform to be updated and the sales price update rule of the target subordinate cloud platform, and before determining the target sales price of the superior cloud platform corresponding to the product model of the target subordinate cloud platform, the method includes:
and 103, the superior cloud platform verifies the attribute data to determine a target sale price of the superior cloud platform corresponding to the product model of the target subordinate cloud platform based on the verified attribute data.
It should be understood that after the superior cloud platform acquires the attribute data of the target subordinate cloud platform to be updated, the superior cloud platform may verify the acquired attribute data to verify whether the acquired attribute data has an authority opened to the subordinate cloud platform, that is, the superior cloud platform cannot transmit the attribute data exceeding the authority to the subordinate cloud platform. And after the attribute data passes the verification, supplementing the selling price of the superior cloud platform corresponding to the product model of the target inferior cloud platform to determine the target selling price of the superior cloud platform.
And 106, updating the selling price of the target subordinate cloud platform by the target subordinate cloud platform based on the matching relation between the product model of the target subordinate cloud platform and the product model stored in the database, the selling price updating rule and the target selling price of the superior cloud platform.
Wherein, the target subordinate cloud platform is based on the matching relation of the product model of the target subordinate cloud platform and the product model stored in the database, the selling price updating rule, and the target selling price of the higher level cloud platform updates the selling price of the target subordinate cloud platform, including:
and if the product model of the target subordinate cloud platform is matched with the product model stored in the database, updating the sales price of the target subordinate cloud platform based on the target sales price and the sales price updating rule of the superior cloud platform.
Specifically, if the selling price updating rule is that synchronous updating price multiple information is not configured, the target selling price of the higher-level cloud platform is used as the updated selling price of the target lower-level cloud platform. And if the selling price updating rule is to configure synchronous updating price multiple information, acquiring a target price multiple of synchronous updating, and taking the product result of the target selling price of the higher-level cloud platform and the target price multiple as the updated selling price of the target lower-level cloud platform.
And if the product model of the target subordinate cloud platform is not matched with the product model stored in the database, updating the sales price of the target subordinate cloud platform based on the target sales price of the superior cloud platform. Specifically, the product result of the target selling price of the higher-level cloud platform and the preset price multiple is used as the updated selling price of the target lower-level cloud platform.
It should be understood that the data processing server of the target lower-level cloud platform polls each received group of data, and processes the data according to the marked type and the selling price updating rule of each group of data. The lower-level cloud platform configures a price multiple a of the sale price of each model of product compared with the sale price of the upper-level cloud platform, namely the sale price of the lower-level cloud platform is a multiple of the sale price of the upper-level cloud platform; meanwhile, the system also configures a default price multiple a' compared with the sale price of the superior cloud platform for the sale price of each model of product. These data are stored in a database. When the data processing server processes the data according to the marked type and the selling price updating rule of each group of data, each group of attribute data and the selling price updating rule are obtained from the database. Therefore, according to the matching relation between the product model of the target subordinate cloud platform and the product model stored in the database, the updated selling price of the target subordinate cloud platform can be determined to be a times or a' times of the target selling price of the superior cloud platform. Therefore, the aim of automatically updating the selling price of the target subordinate cloud platform is fulfilled.
Therefore, according to the product attribute updating method provided by the embodiment of the invention, the attribute data of the target subordinate cloud platform to be updated and the selling price updating rule of the target subordinate cloud platform are obtained, and the target selling price of the superior cloud platform corresponding to the product model of the target subordinate cloud platform is determined, so that the selling price of the target subordinate cloud platform is updated according to the matching relation between the product model of the target subordinate cloud platform and the product model stored in the database, the selling price updating rule and the target selling price of the superior cloud platform, and the target subordinate cloud platform can have the product model and the selling price newly released by the superior cloud platform. Therefore, the product attribute updating method provided by the embodiment of the invention can quickly synchronize the attribute data of the higher-level cloud platform to the attribute data of the target lower-level cloud platform, and compared with the scheme that the product model and the selling price need to be configured independently by each cloud platform in the prior art, the time for configuring the attribute data between the higher-level cloud platform and the lower-level cloud platform can be greatly reduced, so that the purpose of quickly synchronizing the attribute data between the cloud platforms is realized, and the waiting time for the lower-level cloud platform to develop new services is shortened. In addition, the product attribute updating method provided by the embodiment of the invention can accurately and synchronously update the attribute data of the superior cloud platform to the target subordinate cloud platform in an automatic mode, so that the accuracy of matching the attribute data of the superior cloud platform and the subordinate cloud platform can be greatly improved.
In the above embodiment, as shown in fig. 5, after determining the target selling price of the upper level cloud platform corresponding to the product model of the target lower level cloud platform, and before updating the selling price of the target lower level cloud platform based on the matching relationship between the product model of the target lower level cloud platform and the product models stored in the database, the selling price updating rule, and the target selling price of the upper level cloud platform, the method includes:
and 502, the superior cloud platform encrypts the verified attribute data and transmits the encrypted attribute data to the target subordinate cloud platform.
And step 504, the target subordinate cloud platform updates the selling price of the target subordinate cloud platform based on the matching relation between the product model obtained by decrypting the encrypted attribute data by the target subordinate cloud platform and the product model stored in the database, the selling price updating rule and the target selling price of the superior cloud platform.
The upper-level cloud platform encrypts the key of the corresponding target lower-level cloud platform, and after the key is transmitted to the target lower-level cloud platform, the target lower-level cloud platform decrypts the key based on the corresponding key. The higher cloud platform extracts a plurality of sets of product models, sales prices, and sales price update rules from the decrypted attribute data, so that the sales price of the target lower cloud platform is updated based on the matching relationship between the product models and the product models stored in the database, the sales price update rules, and the target sales price of the higher cloud platform. Therefore, data transmission is achieved between the upper-level cloud platform and the target lower-level cloud platform in a data encryption mode, the safety of the data and the accuracy of a data source can be guaranteed, and the data across the upper-level cloud platform and the lower-level cloud platform are prevented from being updated maliciously.
As described with reference to fig. 6 and fig. 7, in a specific embodiment, the implementation process of the product attribute updating method of the present invention may be:
Table one, data transmission table
| Properties | Numerical value | Means of |
| Username | User1 | Agents to be synchronized |
| SyncData | Lists | Containing multiple pieces of synchronized data content |
The content of each piece of data in the SyncData list is shown in table two.
Table two, SyncData data table
In step 602, after the data synchronization unit 702 of the upper cloud platform 70 receives the data (the attribute data of the target subordinate cloud platform 71 and the selling price updating rule of the target subordinate cloud platform 71), each piece of data is queried on a database (in the embodiment of the present invention, the database is a MySQL database), and if matching data is found, the data is determined to be valid and the verification is passed.
In step 603, the data synchronization unit 702 of the upper cloud platform 70 supplements the verified data with the target selling price of the upper cloud platform 70, and the above example data becomes as shown in table three.
Table three, SyncData data table after supplementing target selling price
In step 604, the data synchronization unit 702 of the upper cloud platform 70 performs RSA encryption on the data supplemented with the target selling price by using the public key of the User1, and transmits the encrypted data to the data receiving server 711 of the target lower cloud platform.
In step 605, after receiving the encrypted data, the data receiving server 711 of the target lower level cloud platform 71 decrypts the encrypted data by using its own private key, and transmits the decrypted data to the data comparison server 7121 in the data updating unit 712 of the target lower level cloud platform.
In step 606, after the data comparison server 7121 of the target lower cloud platform 71 obtains the decrypted data, each piece of data is queried on a database (in the embodiment of the present invention, the database is a MySQL database), and if matching data is found, it is determined that the model already exists, the model is marked as existing, and if the same model is not found, the model is marked as not existing, as shown in table four. And transmits the marked data to the data processing server 7122 in the data update unit 712 of the target lower cloud platform.
TABLE IV, marked SyncData data sheet
In step 607, after the data processing server 7122 of the target subordinate cloud platform 71 receives the data, it determines that the model already exists according to the isenist parameter, and determines that the PriceRule is required according to the sales price update rule. Wherein, the PriceRule is 1, which indicates that the target lower-level cloud platform to be updated is configured with synchronous update price multiple information, the price multiple a of the model is required to be taken out from the database, then the ModelPrice is stored in the database to cover the selling price of the old upper-level cloud platform of the model, and the new selling price of the target lower-level cloud platform, namely the target selling price, is calculated. The formula is that the target sale price of the target subordinate cloud platform is equal to a multiplied by ModelPrice, and the obtained new sale price of the target subordinate cloud platform is stored in the database to cover the old sale price of the subordinate cloud platform of the model.
Certainly, a primarule value of 0 indicates that the target subordinate cloud platform to be updated is not configured with the synchronous update price multiple information, and at this time, the target selling price of the superior cloud platform is taken as the target selling price of the target subordinate cloud platform. And under the condition that the same product model is not found in the database, taking the product of the price multiple a' multiplied by ModelPrice as the target selling price of the target subordinate cloud platform.
Therefore, the product model and the selling price of the target subordinate cloud platform are synchronized, and the target subordinate cloud platform can sell the new model product.
Therefore, the product attribute updating method of the embodiment of the invention can quickly synchronize the attribute data of the upper cloud platform 70 to the attribute data of the target lower cloud platform 71, and compared with the scheme that each cloud platform needs to independently configure the product model and the selling price in the prior art, the method can greatly reduce the time for configuring the attribute data between the upper cloud platform 70 and the target lower cloud platform 71, thereby quickly achieving the purpose of synchronizing the attribute data between the cloud platforms and shortening the waiting time for the lower cloud platform to develop new services. In addition, the method of the embodiment of the invention can accurately and synchronously update the attribute data of the superior cloud platform to the target subordinate cloud platform in an automatic mode, thereby greatly improving the accuracy of matching the attribute data of the superior cloud platform and the subordinate cloud platform.
Example two:
the embodiment of the present invention further provides a product attribute updating system 700, where the product attribute updating system 700 is applied to the product attribute updating method described in any of the above embodiments. The product attribute update system 700 includes an upper level cloud platform 70 and a target lower level cloud platform 71. The upper cloud platform 70 includes: a data obtaining unit 701, configured to obtain attribute data of a target subordinate cloud platform to be updated and a selling price updating rule of the target subordinate cloud platform, where the attribute data includes a product model and a selling price of a product; and the data synchronization unit 702 is configured to determine a target selling price of the upper cloud platform 70 corresponding to the product model of the target lower cloud platform 71. The target subordinate cloud platform 71 includes a data updating unit 712 for updating the selling price of the target subordinate cloud platform based on the matching relationship of the product model of the target subordinate cloud platform with the product models stored in the database, the selling price updating rule, and the target selling price of the superior cloud platform 70.
The product attribute updating system 700 of the embodiment of the present invention obtains attribute data of a target subordinate cloud platform to be updated and a selling price updating rule of the target subordinate cloud platform through the data obtaining unit 701, and determines a target selling price of a higher level cloud platform corresponding to a product model of the target subordinate cloud platform through the data synchronizing unit 702, so that the selling price of the target subordinate cloud platform is updated through the data updating unit 712 according to a matching relationship between the product model of the target subordinate cloud platform and a product model stored in the database, the selling price updating rule, and the target selling price of the higher level cloud platform, so that the target subordinate cloud platform can have a product model and a selling price newly released by the higher level cloud platform.
Thus, the product attribute updating system 700 of the embodiment of the present invention can quickly synchronize the attribute data of the upper level cloud platform 70 to the attribute data of the target lower level cloud platform 71, and compared with a scheme in the prior art that each cloud platform needs to individually configure the product model and the selling price, the time for configuring the attribute data between the upper level cloud platform 70 and the target lower level cloud platform 71 can be greatly reduced, so that the purpose of quickly synchronizing the attribute data between the cloud platforms is achieved, and the waiting time for the lower level cloud platform to develop a new service is shortened. In addition, the product attribute updating system of the embodiment of the invention can accurately and synchronously update the attribute data of the superior cloud platform 70 to the target subordinate cloud platform 71 in an automatic manner, so that the accuracy of matching the attribute data of the superior cloud platform and the subordinate cloud platform can be greatly improved.
The data synchronization unit 702 is configured to verify the attribute data, so as to determine a target selling price of the upper cloud platform 70 corresponding to the product model of the target lower cloud platform 71 based on the verified attribute data. After the upper cloud platform 70 acquires the attribute data of the target lower cloud platform 71 to be updated, the acquired attribute data is verified by the data synchronization unit 702 to verify whether the acquired attribute data has an authority opened to the lower cloud platform, that is, the upper cloud platform cannot transmit the attribute data exceeding the authority to the lower cloud platform. And after the attribute data passes the verification, supplementing the selling price of the superior cloud platform corresponding to the product model of the target inferior cloud platform to determine the target selling price of the superior cloud platform.
The data synchronization unit 702 is further configured to encrypt the verified attribute data, and transmit the encrypted attribute data to the target subordinate cloud platform, so as to update the selling price of the target subordinate cloud platform based on a matching relationship between the product model obtained by decrypting the encrypted attribute data by the target subordinate cloud platform and the product model stored in the database, the selling price update rule, and the target selling price of the superior cloud platform 70. The data synchronization unit 702 encrypts the data using the corresponding key of the target lower-level cloud platform, and after the encrypted data is transmitted to the target lower-level cloud platform, the target lower-level cloud platform decrypts the data based on the corresponding key. The upper cloud platform 70 extracts a plurality of sets of product model numbers, sales prices, and sales price update rules from the decrypted attribute data to update the sales price of the target lower cloud platform 71 based on the matching relationship of the product model numbers and the product model numbers stored in the database, the sales price update rules, and the target sales price of the upper cloud platform. Therefore, data transmission is achieved between the upper-level cloud platform and the lower-level cloud platform in a data encryption mode, the safety of the data and the accuracy of a data source can be guaranteed, and the data crossing between the upper-level cloud platform and the lower-level cloud platform is prevented from being updated maliciously.
In the above embodiment, the data updating unit 712 is configured to: if the product model of the target subordinate cloud platform 71 matches the product model stored in the database, updating the sales price of the target subordinate cloud platform based on the target sales price and the sales price update rule of the superior cloud platform 70; if the product model of the target subordinate cloud platform 71 does not match the product model stored in the database, the selling price of the target subordinate cloud platform 71 is updated based on the target selling price of the superior cloud platform 70. Specifically, the data updating unit 7012 is further configured to: if the selling price updating rule is that synchronous updating price multiple information is not configured, the target selling price of the superior cloud platform 70 is used as the updated selling price of the target inferior cloud platform 71; if the selling price updating rule is to configure the synchronous updating price multiple information, the target price multiple of the synchronous updating is obtained, and the product result of the target selling price of the higher-level cloud platform 70 and the target price multiple is used as the updated selling price of the target lower-level cloud platform 71. The data updating unit 712 is further configured to: and taking the product result of the target selling price of the upper level cloud platform 70 and the preset price multiple as the updated selling price of the target lower level cloud platform 71.
Specifically, the target lower cloud platform 71 in the product attribute updating system 700 further includes a data receiving server 711, configured to receive the verified attribute data and the selling price updating rule sent by the data synchronizing unit 702. The data updating unit 712 may include a data comparing server 7121 and a data processing server 7122. The data comparison server 7121 is used for comparing the received attribute data with the data stored in the database to determine whether the model of the product in the received attribute data already exists, and marking the model of the product to transmit the marked data to the data processing server 7122. The data processing server 7122 is configured to update the sales price of the target subordinate cloud platform 71 based on the target sales price of the superior cloud platform 70 and the sales price update rule. For a specific processing procedure or an updating procedure, reference may be made to the updating principle of the product attribute updating method described in the above embodiment, which is not described in detail herein.
Example three:
referring to FIG. 8, the present embodiment discloses an embodiment of a computer-readable medium 800. The computer-readable medium 800 may be disposed in whole or in part in a physical form of a computer, server, cluster server, or data center.
In this embodiment, a computer-readable medium 800 is provided, in which computer program instructions 801 are stored in the computer-readable medium 800, and when the computer program instructions 801 are read by a processor 802 and executed, the steps in the product property updating method according to an embodiment of the disclosure are performed.
Alternatively, the computer-readable medium 800 may be configured as a server and the server is run on a physical device that constructs a private cloud, a hybrid cloud, or a public cloud. Meanwhile, the computer-readable medium 800 may also be configured as a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The computer readable medium 800 is used for storing a program, and the processor 802 executes the method for updating product attributes according to an embodiment of the disclosure after receiving the execution instruction.
Meanwhile, the processor 802 disclosed in this embodiment may be an integrated circuit chip having signal processing capability. The Processor 802 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor.
For a technical solution of a computer-readable medium disclosed in this embodiment that is the same as that in embodiment one and/or embodiment two, please refer to embodiment one and/or embodiment two, which is not described herein again.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable medium. Based on such understanding, the technical solution of the present invention may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Preferably, an embodiment of the present invention further provides a terminal device, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the computer program, when executed by the processor, implements the processes of the method embodiments shown in fig. 1 and fig. 4 to fig. 5, and can achieve the same technical effects, and details are not repeated here to avoid repetition.
The above-listed detailed description is only a specific description of a possible embodiment of the present invention, and they are not intended to limit the scope of the present invention, and equivalent embodiments or modifications made without departing from the technical spirit of the present invention should be included in the scope of the present invention.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (12)
1. A method for updating product attributes, comprising:
responding to the input of a user, acquiring attribute data of a target subordinate cloud platform to be updated and a selling price updating rule of the target subordinate cloud platform, wherein the attribute data comprises a product model and a selling price of a product;
determining a target selling price of a higher-level cloud platform corresponding to the product model of the target lower-level cloud platform;
and updating the sales price of the target subordinate cloud platform based on the matching relationship between the product model of the target subordinate cloud platform and the product model stored in the database, the sales price updating rule and the target sales price of the superior cloud platform.
2. The method of claim 1, wherein updating the selling price of the target subordinate cloud platform based on a matching relationship between the product model of the target subordinate cloud platform and product models stored in a database, the selling price updating rule, and the target selling price of the superior cloud platform comprises:
if the product model of the target subordinate cloud platform is matched with the product model stored in the database, updating the sales price of the target subordinate cloud platform based on the target sales price of the superior cloud platform and the sales price updating rule;
and if the product model of the target subordinate cloud platform is not matched with the product model stored in the database, updating the selling price of the target subordinate cloud platform based on the target selling price of the superior cloud platform.
3. The method of claim 2, wherein updating the sales price of the target subordinate cloud platform based on the target sales price of the superior cloud platform and the sales price update rule comprises:
if the selling price updating rule is that synchronous updating price multiple information is not configured, taking the target selling price of the superior cloud platform as the updated selling price of the target inferior cloud platform;
and if the selling price updating rule is to configure synchronous updating price multiple information, acquiring a target synchronously updated price multiple, and taking a product result of the target selling price of the higher-level cloud platform and the target price multiple as the updated selling price of the target lower-level cloud platform.
4. The method of claim 2, wherein updating the sales price of the target subordinate cloud platform based on the target sales price of the superior cloud platform comprises:
and taking the product result of the target sale price of the higher-level cloud platform and the preset price multiple as the updated sale price of the target lower-level cloud platform.
5. The method of claim 1, wherein after obtaining the attribute data of the target subordinate cloud platform to be updated and the selling price updating rule of the target subordinate cloud platform, and before determining the target selling price of the superior cloud platform corresponding to the product model of the target subordinate cloud platform, the method comprises:
and verifying the attribute data to determine a target sale price of the superior cloud platform corresponding to the product model of the target inferior cloud platform based on the verified attribute data.
6. The method of claim 5, after determining a target selling price of a superior cloud platform corresponding to the product model of the target inferior cloud platform, comprising:
encrypting the verified attribute data, and transmitting the encrypted attribute data to a target subordinate cloud platform;
and updating the selling price of the target subordinate cloud platform based on the matching relation between the product model obtained by decrypting the encrypted attribute data by the target subordinate cloud platform and the product model stored in the database, the selling price updating rule and the target selling price of the superior cloud platform.
7. A product attribute update system, comprising:
the system comprises a data acquisition unit, a data updating unit and a data updating unit, wherein the data acquisition unit is used for acquiring attribute data of a target subordinate cloud platform to be updated and a selling price updating rule of the target subordinate cloud platform, and the attribute data comprises a product model and a selling price of a product;
the data synchronization unit is used for determining a target selling price of a higher-level cloud platform corresponding to the product model of the target lower-level cloud platform;
and the data updating unit is used for updating the selling price of the target subordinate cloud platform based on the matching relation between the product model of the target subordinate cloud platform and the product model stored in the database, the selling price updating rule and the target selling price of the superior cloud platform.
8. The system of claim 7, wherein the data update unit is configured to:
if the product model of the target subordinate cloud platform is matched with the product model stored in the database, updating the sales price of the target subordinate cloud platform based on the target sales price of the superior cloud platform and the sales price updating rule;
and if the product model of the target subordinate cloud platform is not matched with the product model stored in the database, updating the selling price of the target subordinate cloud platform based on the target selling price of the superior cloud platform.
9. The system of claim 8, wherein the data update unit is further configured to:
if the selling price updating rule is that synchronous updating price multiple information is not configured, taking the target selling price of the superior cloud platform as the updated selling price of the target inferior cloud platform;
and if the selling price updating rule is to configure synchronous updating price multiple information, acquiring a target synchronously updated price multiple, and taking a product result of the target selling price of the higher-level cloud platform and the target price multiple as the updated selling price of the target lower-level cloud platform.
10. The system of claim 8, wherein the data update unit is further configured to:
and taking the product result of the target sale price of the higher-level cloud platform and the preset price multiple as the updated sale price of the target lower-level cloud platform.
11. A computer-readable medium, having stored thereon computer program instructions, which, when read and executed by a processor, perform the steps of the method according to any one of claims 1-6.
12. A terminal device, characterized in that it comprises a processor, a memory and a computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, implements the steps of the method according to any one of claims 1 to 6.
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