CN116934263B - Product batch admittance method, device, equipment and medium - Google Patents
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Abstract
The invention relates to the technical field of data processing, and provides a method, a device, equipment and a medium for product batch admittance, which can automatically retrieve invoice data of target clients according to product admittance requests, automatically detect whether each product is an admittance product corresponding to the target client according to the invoice data of the target clients and admittance rules of each product, execute batch admittance on all products when each product is the admittance product corresponding to the target clients, further quickly perform batch admittance on the products, and avoid introducing human errors due to no need of repeatedly inputting information, thereby improving the accuracy of product admittance.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a medium for product batch admittance.
Background
Under the condition that cooperative enterprises are more and accessed enterprise products are more and more, when one customer of a salesman needs to enter a plurality of products, repeated registration is usually needed, complex registration information is filled, the operation is complex, and errors are easy to occur.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, apparatus, device and medium for product batch admittance, which aims to solve the problems of complex operation and error-prone when a plurality of products are admitted.
A product batch admittance method, the product batch admittance method comprising:
when receiving a product access request for a target client, invoking invoice data of the target client according to the product access request;
obtaining an admission rule of each product in all the products in butt joint;
detecting whether each product is an admitted product corresponding to the target client according to invoice data of the target client and an admission rule of each product;
and when each product in all the products is the admitted product corresponding to the target client, executing batch admission on all the products.
According to a preferred embodiment of the invention, the method further comprises:
detecting user operation on a configuration page; the configuration page comprises a query field input box;
and when the measurement button on the configuration page is detected to be triggered, determining that the product access request is received.
According to a preferred embodiment of the present invention, the invoking the invoice data of the target client according to the product admission request includes:
acquiring a field input in the query field input box as a query condition according to the product admission request;
and acquiring invoice data of the target client from a configuration database according to the query condition.
According to a preferred embodiment of the present invention, the detecting whether each product is an admitted product corresponding to the target customer according to the invoice data of the target customer and the admission rule of each product includes:
extracting fields from the invoice data of the target client to obtain information carried by the invoice data of the target client;
acquiring data to be processed corresponding to each product from information carried by invoice data of the target client according to the admittance rule of each product;
and based on the admission rule of each product, carrying out admission detection on each product by utilizing the data to be processed corresponding to each product, and obtaining whether each product is an admitted product corresponding to the target customer.
According to a preferred embodiment of the present invention, the admission detection of each product by using the data to be processed corresponding to each product based on the admission rule of each product includes:
acquiring a pre-established method class;
and taking the data to be processed corresponding to each product as parameters, and calling the admission rule of each product by using the method class to carry out admission detection on each product.
According to a preferred embodiment of the invention, the method further comprises:
and when each product in all the products is not the admitted product corresponding to the target client, displaying the products which are not the admitted products and the reasons of the unauthentication.
According to a preferred embodiment of the invention, the method further comprises:
when a new client exists, displaying a new client information input interface; the new customer information input interface is used for inputting enterprise information of the new customer;
calling a detection interface to detect the newly added client according to the enterprise information of the newly added client;
allowing the new client to be newly added when the new client passes the detection; or alternatively
And when the newly added client fails to pass the detection, not allowing the newly added client to be newly added.
A product batch admittance apparatus, the product batch admittance apparatus comprising:
the system comprises a calling unit, a target client and a receiving unit, wherein the calling unit is used for calling invoice data of the target client according to a product access request when receiving the product access request of the target client;
the obtaining unit is used for obtaining the admittance rule of each product in all the products which are in butt joint;
the detection unit is used for detecting whether each product is an admittance product corresponding to the target client according to the invoice data of the target client and the admittance rule of each product;
and the admission unit is used for executing batch admission to all the products when each product in all the products is the admitted product corresponding to the target client.
A computer device, the computer device comprising:
a memory storing at least one instruction; and
And the processor executes the instructions stored in the memory to realize the product batch admittance method.
A computer readable storage medium having stored therein at least one instruction for execution by a processor in a computer device to implement the product batch admittance method.
According to the technical scheme, invoice data of the target clients can be automatically fetched according to the product admittance requests, whether each product is an admittance product corresponding to the target client or not is automatically detected according to the invoice data of the target clients and admittance rules of each product, when each product is the admittance product corresponding to the target clients, batch admittance is carried out on all the products, and further, rapid batch admittance can be carried out on the products, and because artificial repeated information input is not needed, human errors can be avoided, and the accuracy of admittance of the products is improved.
Drawings
Figure 1 is a flow chart of a preferred embodiment of the product batch admittance method of the present invention.
Figure 2 is a functional block diagram of a preferred embodiment of the product batch admittance apparatus of the present invention.
Fig. 3 is a schematic diagram of a computer device implementing a preferred embodiment of the product batch admittance method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, a flow chart of a preferred embodiment of the product batch admittance method of the present invention is shown. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs.
The product batch admittance method is applied to one or more computer devices, wherein the computer device is a device capable of automatically carrying out numerical calculation and/or information processing according to preset or stored instructions, and the hardware comprises, but is not limited to, a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable gate array (Field-Programmable Gate Array, FPGA), a digital processor (Digital Signal Processor, DSP), an embedded device and the like.
The computer device may be any electronic product that can interact with a user in a human-computer manner, such as a personal computer, tablet computer, smart phone, personal digital assistant (Personal Digital Assistant, PDA), game console, interactive internet protocol television (Internet Protocol Television, IPTV), smart wearable device, etc.
The computer device may also include a network device and/or a user device. Wherein the network device includes, but is not limited to, a single network server, a server group composed of a plurality of network servers, or a Cloud based Cloud Computing (Cloud Computing) composed of a large number of hosts or network servers.
The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
The network in which the computer device is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN), and the like.
S10, when a product access request to a target client is received, invoice data of the target client is called according to the product access request.
In this embodiment, the method further includes:
detecting user operation on a configuration page; the configuration page comprises a query field input box;
and when the measurement button on the configuration page is detected to be triggered, determining that the product access request is received.
The measuring button can be a virtual key which is configured in advance. And when the measuring button is detected to be clicked or touched, determining that the measuring button is triggered.
In this embodiment, the invoking the invoice data of the target client according to the product admission request includes:
acquiring a field input in the query field input box as a query condition according to the product admission request;
and acquiring invoice data of the target client from a configuration database according to the query condition.
For example: the query conditions may include business names, business codes, etc.
Wherein the configuration database may be a pre-maintained database storing invoice data for each customer.
Through the embodiment, the invoice data of the target client can be automatically called from the database according to the input query condition, the uploading of a user is not needed, and the judgment of product admittance is prevented from being influenced due to the fact that uploading errors occur.
S11, obtaining the admission rule of each product in all the products in butt joint.
In this embodiment, the admission rule of each product may be maintained and stored in advance, so as to be directly invoked when the admission rule needs to be used later.
Wherein the admission rules may be a data interception model generated from customer portraits provided by the partner.
And S12, detecting whether each product is an admitted product corresponding to the target client according to the invoice data of the target client and the admission rule of each product.
In this embodiment, the detecting whether each product is an admitted product corresponding to the target client according to the invoice data of the target client and the admission rule of each product includes:
extracting fields from the invoice data of the target client to obtain information carried by the invoice data of the target client;
acquiring data to be processed corresponding to each product from information carried by invoice data of the target client according to the admittance rule of each product;
and based on the admission rule of each product, carrying out admission detection on each product by utilizing the data to be processed corresponding to each product, and obtaining whether each product is an admitted product corresponding to the target customer.
Wherein, a pre-trained neural network model can be adopted to extract the fields of the invoice data of the target client.
The admission detection of each product by utilizing the data to be processed corresponding to each product based on the admission rule of each product comprises the following steps:
acquiring a pre-established method class;
and taking the data to be processed corresponding to each product as parameters, and calling the admission rule of each product by using the method class to carry out admission detection on each product.
For example: the getInvoiceDataInstruction method in the FinaceProducCalcilogicController class can be executed by taking the latest piece of recorded enterprise element information corresponding to the target client as a parameter. The getInvoiceDataInstruction method can simulate enterprise element information for registration, and invoke admission rules of each product to conduct admission detection on each product so as to detect whether each product accords with corresponding admission rules.
Through the embodiment, the product admittance detection can be automatically executed according to the preconfigured admittance rule, and related information of each product is not required to be manually input and admittance judgment is respectively carried out, so that a user does not need to execute a large number of repeated operations, human errors can be effectively avoided being introduced, and the detection efficiency of product admittance is improved.
And S13, when each product in all the products is the admitted product corresponding to the target customer, executing batch admission on all the products.
And when the batch admittance key is triggered, executing batch admittance on all the products.
In the embodiment, the relevant information of the customer is only required to be input once, and the registration of a plurality of products can be queried and completed according to the query conditions, so that the marketing efficiency of a service staff is effectively improved, the operation flow is simple, the number of times of inputting the customer information again is reduced, and the safety of the customer data is also ensured.
In this embodiment, the method further includes:
and when each product in all the products is not the admitted product corresponding to the target client, displaying the products which are not the admitted products and the reasons of the unauthentication.
In the above embodiment, when the product is not accurate, the batch admittance key is not displayed, and at this time, the product which is not the admitted product and the reasons for admittance are displayed, so that relevant personnel can perform targeted processing in time.
In this embodiment, the method further includes:
when a new client exists, displaying a new client information input interface; the new customer information input interface is used for inputting enterprise information of the new customer;
calling a detection interface to detect the newly added client according to the enterprise information of the newly added client;
allowing the new client to be newly added when the new client passes the detection; or alternatively
And when the newly added client fails to pass the detection, not allowing the newly added client to be newly added.
Wherein, the new customer information input interface can include, but is not limited to, the following information input boxes: a company name input box, a social credit code input box, a legal name input box, a legal identity card input box, a legal mobile phone number input box, a registration code and the like.
The detection interface may be a security interface with an enterprise qualification detection function.
According to the technical scheme, invoice data of the target clients can be automatically fetched according to the product admittance requests, whether each product is an admittance product corresponding to the target client or not is automatically detected according to the invoice data of the target clients and admittance rules of each product, when each product is the admittance product corresponding to the target clients, batch admittance is carried out on all the products, and further, rapid batch admittance can be carried out on the products, and because artificial repeated information input is not needed, human errors can be avoided, and the accuracy of admittance of the products is improved.
Fig. 2 is a functional block diagram of a preferred embodiment of the product batch admittance apparatus of the present invention. The product batch admittance device 11 comprises a calling unit 110, an acquisition unit 111, a detection unit 112 and an admittance unit 113. The module/unit referred to in the present invention refers to a series of computer program segments, which are stored in a memory, capable of being executed by a processor and of performing a fixed function. In the present embodiment, the functions of the respective modules/units will be described in detail in the following embodiments.
The retrieving unit 110 is configured to, when receiving a product access request for a target client, retrieve invoice data of the target client according to the product access request.
In this embodiment, user operations on the configuration page are detected; the configuration page comprises a query field input box;
and when the measurement button on the configuration page is detected to be triggered, determining that the product access request is received.
The measuring button can be a virtual key which is configured in advance. And when the measuring button is detected to be clicked or touched, determining that the measuring button is triggered.
In this embodiment, the retrieving unit 110 retrieves invoice data of the target client according to the product admission request includes:
acquiring a field input in the query field input box as a query condition according to the product admission request;
and acquiring invoice data of the target client from a configuration database according to the query condition.
For example: the query conditions may include business names, business codes, etc.
Wherein the configuration database may be a pre-maintained database storing invoice data for each customer.
Through the embodiment, the invoice data of the target client can be automatically called from the database according to the input query condition, the uploading of a user is not needed, and the judgment of product admittance is prevented from being influenced due to the fact that uploading errors occur.
The obtaining unit 111 is configured to obtain an admission rule of each product in all the products that are docked.
In this embodiment, the admission rule of each product may be maintained and stored in advance, so as to be directly invoked when the admission rule needs to be used later.
Wherein the admission rules may be a data interception model generated from customer portraits provided by the partner.
The detecting unit 112 is configured to detect whether each product is an admitted product corresponding to the target client according to the invoice data of the target client and the admission rule of each product.
In this embodiment, the detecting unit 112 detects whether each product is an admitted product corresponding to the target customer according to the invoice data of the target customer and the admission rule of each product, including:
extracting fields from the invoice data of the target client to obtain information carried by the invoice data of the target client;
acquiring data to be processed corresponding to each product from information carried by invoice data of the target client according to the admittance rule of each product;
and based on the admission rule of each product, carrying out admission detection on each product by utilizing the data to be processed corresponding to each product, and obtaining whether each product is an admitted product corresponding to the target customer.
Wherein, a pre-trained neural network model can be adopted to extract the fields of the invoice data of the target client.
The admission detection of each product by utilizing the data to be processed corresponding to each product based on the admission rule of each product comprises the following steps:
acquiring a pre-established method class;
and taking the data to be processed corresponding to each product as parameters, and calling the admission rule of each product by using the method class to carry out admission detection on each product.
For example: the getInvoiceDataInstruction method in the FinaceProducCalcilogicController class can be executed by taking the latest piece of recorded enterprise element information corresponding to the target client as a parameter. The getInvoiceDataInstruction method can simulate enterprise element information for registration, and invoke admission rules of each product to conduct admission detection on each product so as to detect whether each product accords with corresponding admission rules.
Through the embodiment, the product admittance detection can be automatically executed according to the preconfigured admittance rule, and related information of each product is not required to be manually input and admittance judgment is respectively carried out, so that a user does not need to execute a large number of repeated operations, human errors can be effectively avoided being introduced, and the detection efficiency of product admittance is improved.
The admittance unit 113 is configured to perform batch admittance on all the products when each product in all the products is an admitted product corresponding to the target client.
And when the batch admittance key is triggered, executing batch admittance on all the products.
In the embodiment, the relevant information of the customer is only required to be input once, and the registration of a plurality of products can be queried and completed according to the query conditions, so that the marketing efficiency of a service staff is effectively improved, the operation flow is simple, the number of times of inputting the customer information again is reduced, and the safety of the customer data is also ensured.
In this embodiment, when each product of the all products is not an admitted product corresponding to the target client, a product that is not the admitted product and an unauthenticated reason are displayed.
In the above embodiment, when the product is not accurate, the batch admittance key is not displayed, and at this time, the product which is not the admitted product and the reasons for admittance are displayed, so that relevant personnel can perform targeted processing in time.
In this embodiment, when there is a newly added customer, a new customer information input interface is displayed; the new customer information input interface is used for inputting enterprise information of the new customer;
calling a detection interface to detect the newly added client according to the enterprise information of the newly added client;
allowing the new client to be newly added when the new client passes the detection; or alternatively
And when the newly added client fails to pass the detection, not allowing the newly added client to be newly added.
Wherein, the new customer information input interface can include, but is not limited to, the following information input boxes: a company name input box, a social credit code input box, a legal name input box, a legal identity card input box, a legal mobile phone number input box, a registration code and the like.
The detection interface may be a security interface with an enterprise qualification detection function.
According to the technical scheme, invoice data of the target clients can be automatically fetched according to the product admittance requests, whether each product is an admittance product corresponding to the target client or not is automatically detected according to the invoice data of the target clients and admittance rules of each product, when each product is the admittance product corresponding to the target clients, batch admittance is carried out on all the products, and further, rapid batch admittance can be carried out on the products, and because artificial repeated information input is not needed, human errors can be avoided, and the accuracy of admittance of the products is improved.
Fig. 3 is a schematic structural diagram of a computer device according to a preferred embodiment of the present invention for implementing a product batch admittance method.
The computer device 1 may comprise a memory 12, a processor 13 and a bus, and may further comprise a computer program stored in the memory 12 and executable on the processor 13, such as a product batch admission program.
It will be appreciated by those skilled in the art that the schematic diagram is merely an example of the computer device 1 and does not constitute a limitation of the computer device 1, the computer device 1 may be a bus type structure, a star type structure, the computer device 1 may further comprise more or less other hardware or software than illustrated, or a different arrangement of components, for example, the computer device 1 may further comprise an input-output device, a network access device, etc.
It should be noted that the computer device 1 is only used as an example, and other electronic products that may be present in the present invention or may be present in the future are also included in the scope of the present invention by way of reference.
The memory 12 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 12 may in some embodiments be an internal storage unit of the computer device 1, such as a removable hard disk of the computer device 1. The memory 12 may in other embodiments also be an external storage device of the computer device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the computer device 1. Further, the memory 12 may also include both an internal storage unit and an external storage device of the computer device 1. The memory 12 may be used not only for storing application software installed on the computer device 1 and various types of data, such as codes of a product batch admittance program, etc., but also for temporarily storing data that has been output or is to be output.
The processor 13 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, a combination of various control chips, and the like. The processor 13 is a Control Unit (Control Unit) of the computer device 1, connects the individual components of the entire computer device 1 with various interfaces and lines, executes or executes programs or modules stored in the memory 12 (for example, executes a product batch admission program, etc.), and invokes data stored in the memory 12 to perform various functions of the computer device 1 and process data.
The processor 13 executes the operating system of the computer device 1 and various types of applications installed. The processor 13 executes the application program to implement the steps of the various product batch admittance method embodiments described above, such as the steps shown in fig. 1.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory 12 and executed by the processor 13 to complete the present invention. The one or more modules/units may be a series of computer readable instruction segments capable of performing the specified functions, which instruction segments describe the execution of the computer program in the computer device 1. For example, the computer program may be split into a retrieval unit 110, an acquisition unit 111, a detection unit 112, an admission unit 113.
The integrated units implemented in the form of software functional modules described above may be stored in a computer readable storage medium. The software functional modules are stored in a storage medium and include instructions for causing a computer device (which may be a personal computer, a computer device, or a network device, etc.) or a processor (processor) to perform portions of the product batch admittance method of various embodiments of the present invention.
The modules/units integrated in the computer device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on this understanding, the present invention may also be implemented by a computer program for instructing a relevant hardware device to implement all or part of the procedures of the above-mentioned embodiment method, where the computer program may be stored in a computer readable storage medium and the computer program may be executed by a processor to implement the steps of each of the above-mentioned method embodiments.
Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory, or the like.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created from the use of blockchain nodes, and the like.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one straight line is shown in fig. 3, but not only one bus or one type of bus. The bus is arranged to enable a connection communication between the memory 12 and at least one processor 13 or the like.
Although not shown, the computer device 1 may further comprise a power source (such as a battery) for powering the various components, preferably the power source may be logically connected to the at least one processor 13 via a power management means, whereby the functions of charge management, discharge management, and power consumption management are achieved by the power management means. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The computer device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described in detail herein.
Further, the computer device 1 may also comprise a network interface, optionally comprising a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the computer device 1 and other computer devices.
The computer device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the computer device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
Fig. 3 shows only a computer device 1 with components 12-13, it being understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the computer device 1 and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
In connection with fig. 1, the memory 12 in the computer device 1 stores a plurality of instructions to implement a product batch admittance method, the processor 13 being executable to implement:
when receiving a product access request for a target client, invoking invoice data of the target client according to the product access request;
obtaining an admission rule of each product in all the products in butt joint;
detecting whether each product is an admitted product corresponding to the target client according to invoice data of the target client and an admission rule of each product;
and when each product in all the products is the admitted product corresponding to the target client, executing batch admission on all the products.
Specifically, the specific implementation method of the above instructions by the processor 13 may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein.
The data in this case were obtained legally.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The invention is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
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 characteristics 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 signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. The units or means stated in the invention may also be implemented by one unit or means, either by software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (9)
1. The product batch admittance method is characterized by comprising the following steps:
when receiving a product access request for a target client, invoking invoice data of the target client according to the product access request;
obtaining an admission rule of each product in all the products in butt joint;
detecting whether each product is an admitted product corresponding to the target client according to the invoice data of the target client and the admission rule of each product, wherein the method comprises the following steps: extracting fields from the invoice data of the target client to obtain information carried by the invoice data of the target client; acquiring data to be processed corresponding to each product from information carried by invoice data of the target client according to the admittance rule of each product; based on the admission rule of each product, carrying out admission detection on each product by utilizing the data to be processed corresponding to each product so as to determine whether each product is an admitted product corresponding to the target customer;
and when each product in all the products is the admitted product corresponding to the target client, executing batch admission on all the products.
2. The product batch admittance method of claim 1, wherein said method further comprises:
detecting user operation on a configuration page; the configuration page comprises a query field input box;
and when the measurement button on the configuration page is detected to be triggered, determining that the product access request is received.
3. The product batch access method of claim 2, wherein invoking invoice data for the target customer in accordance with the product access request comprises:
acquiring a field input in the query field input box as a query condition according to the product admission request;
and according to the query condition, retrieving invoice data of the target client from a configuration database.
4. The method for batch admittance of products according to claim 1, wherein said admittance detection of each product by using the data to be processed corresponding to each product based on the admittance rule of each product comprises:
acquiring a pre-established method class;
and taking the data to be processed corresponding to each product as parameters, and calling the admission rule of each product by using the method class to carry out admission detection on each product.
5. The product batch admittance method of claim 1, wherein said method further comprises:
and when each product in all the products is not the admitted product corresponding to the target client, displaying the products which are not the admitted products and the reasons of the unauthentication.
6. The product batch admittance method of claim 1, wherein said method further comprises:
when a new client exists, displaying a new client information input interface; the new customer information input interface is used for inputting enterprise information of the new customer;
calling a detection interface to detect the newly added client according to the enterprise information of the newly added client;
allowing the new client to be newly added when the new client passes the detection; or alternatively
And when the newly added client fails to pass the detection, not allowing the newly added client to be newly added.
7. A product batch admittance apparatus, characterized in that the product batch admittance apparatus comprises:
the system comprises a calling unit, a target client and a receiving unit, wherein the calling unit is used for calling invoice data of the target client according to a product access request when receiving the product access request of the target client;
the obtaining unit is used for obtaining the admittance rule of each product in all the products which are in butt joint;
the detection unit is used for detecting whether each product is an access product corresponding to the target client according to the invoice data of the target client and the access rule of each product, and comprises the following steps: extracting fields from the invoice data of the target client to obtain information carried by the invoice data of the target client; acquiring data to be processed corresponding to each product from information carried by invoice data of the target client according to the admittance rule of each product; based on the admission rule of each product, carrying out admission detection on each product by utilizing the data to be processed corresponding to each product so as to determine whether each product is an admitted product corresponding to the target customer;
and the admission unit is used for executing batch admission to all the products when each product in all the products is the admitted product corresponding to the target client.
8. A computer device, the computer device comprising:
a memory storing at least one instruction; and
A processor executing instructions stored in the memory to implement the product batch admission method of any one of claims 1 to 6.
9. A computer-readable storage medium, characterized by: the computer readable storage medium having stored therein at least one instruction for execution by a processor in a computer device to implement the product batch admittance method of any of claims 1-6.
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