CN111798302A - Quota updating method and device based on micro service, electronic equipment and storage medium - Google Patents
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- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
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- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
Abstract
The invention relates to the technical field of artificial intelligence, and provides a method and a device for updating a quota based on micro service, electronic equipment and a storage medium, wherein the method comprises the following steps: receiving login information of a client for verification, and if the type of the transaction request is ordering behavior, calling face recognition micro-service to perform face recognition on the client and generate a client number; calling an inquiry interface of the account information to traverse an account information table by taking the client number as an access parameter; acquiring current account information, submitting the current account information to an application micro-service system, and calling a risk control micro-service to determine available quota of transaction behaviors and synchronizing the available quota of the transaction behaviors to an account management micro-service; and calling the account management micro-service system to release the available quota and update the current available quota. According to the invention, through the account management system based on micro-service, each micro-service system in the system operates independently, and the availability and stability of the account management system are improved. In addition, the invention also relates to a block chain technology, and the account information table is stored in the block chain node.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a method and a device for updating a quota based on a micro service, electronic equipment and a storage medium.
Background
With the gradual release of folk financial loans, the circulation demand of information is increasing day by day, borrowing users can carry out the transaction of multiple loan products at the same time, involve the simultaneous transaction of multiple loan products under the same account, the present account management system adopts the traditional integral architecture application development system, when carrying out many transactions at the same time, will influence each other between application service system and the account management system, especially the available quota of existing calculation needs to inquire users 'historical transaction data, cause the inquiry data to be larger, still involve the transaction data of multiple network interfaces, the logic is complicated, and the quota calculation service and user's transaction data service are carried on at the same time, when the transaction volume is larger, the usability and stability of the system will be greatly reduced.
Therefore, a credit updating scheme based on micro-service is needed to solve the technical problem that the availability and stability of the system are greatly reduced when the transaction amount is large in the prior art.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, an electronic device and a storage medium for updating a quota based on a micro service, where each micro service system in the system operates independently and does not affect each other through an account management system based on a micro service, so as to improve the usability and stability of the account management system.
The invention provides a quota updating method based on micro-service, which comprises the following steps:
receiving login information of a client, and performing identity authentication of the client based on the login information;
when the identity authentication of the client is confirmed to pass, receiving a transaction request of the client, and judging the category of the transaction request of the client;
when the type of the transaction request of the customer is determined to be ordering behavior, face recognition micro-service is called to carry out face recognition on the customer;
when the face recognition of the client is determined to pass, generating a client number of the client;
calling a query interface of account information to traverse an account information table by taking the customer number of the customer as an access parameter;
when the account of the customer is traversed from the account information table, acquiring current account information corresponding to the account from the account information table and submitting the current account information to an application micro-service system;
calling risk control micro-service based on the current account information to determine the available quota of the order placing action applied by the client, and synchronizing the available quota of the order placing action applied by the client to an account management micro-service system;
and calling the account management micro-service system to change the available quota of the transaction request and update the current available quota in the current account information.
Preferably, the invoking of the face recognition microservice to perform face recognition on the client includes:
when an authentication request of face recognition of the client is received, calling a living body detection service in a face recognition micro-service to recognize whether a face image which is separated from a short video stream uploaded by the client is a living body;
when the face image is determined to be a living body, calling an image detection service in the face recognition micro-service to call a preset open source interface according to a face image code transmitted by the living body detection service to perform image detection;
when the received image detection result returned by the open source interface is passed, determining that the face recognition of the client is passed;
and when the received image detection result returned by the open source interface is failed, or when the face image separated by the short video stream uploaded by the client is determined to be a living body but the image detection result returned by the open source interface is failed, determining that the face recognition of the client is failed.
Preferably, the invoking of a living body detection service in the human face recognition microservice to recognize whether the human face image separated out by the short video stream uploaded by the client is a living body comprises:
generating a living body detection service instance in the living body detection service based on the face image separated out by the short video stream uploaded by the client;
registering the living body detection service instance to a preset registration center;
extracting the face feature data of the face image from the corresponding file of the service interface layer of the preset registry;
inputting the face feature data into the living body detection service for living body detection, and returning the living body detection result;
when the living body detection result is that the living body passes, determining that the face image is a living body;
and when the living body detection result is passed, determining that the face image is not a living body.
Preferably, the invoking of the image detection service in the face recognition micro-service and the invoking of a preset open source interface according to the face image code transmitted by the living body detection service for image detection includes:
accessing the preset registration center to obtain an IP port of an image detection service instance based on the HTTP endpoint of the image detection service;
establishing a connection with a service interface layer based on the IP port;
editing the facial image code in the corresponding file of the service interface layer to obtain a facial image to be detected;
inputting the facial image to be detected into an image detection service for image detection, returning an image detection score of the facial image to be detected, and comparing the image detection score with a preset image score threshold value;
when the image detection score is greater than or equal to the preset image score threshold value, determining that the image detection is passed;
determining that the image detection fails when the image detection score is less than the preset image score threshold.
Preferably, the obtaining of the current account information corresponding to the account from the account information table includes:
unpacking a received message returned by the account management system and mapping the unpacked message to a json file;
traversing all keys in the json file, and acquiring key values corresponding to the keys;
and reading the key value as the current account information corresponding to the account.
Preferably, the credit updating method based on micro-service further includes:
when the type of the transaction request of the customer is determined to be a repayment behavior, responding to a repayment instruction, and inquiring the progress of the repayment behavior corresponding to all arrears under the account of the customer;
and if the payment is detected to be completed, updating the available amount of the account of the client.
Preferably, the credit updating method based on micro-service further includes:
when the account of the client is not traversed from the account information table or the account traversed to the client is invalid, initiating an appointment for risk checking to the client, wherein the account information table is stored in a block chain node;
and when the risk audit is determined to pass, generating the client account.
The second aspect of the invention provides a line updating device based on micro-service, which comprises:
the receiving module is used for receiving login information of the client and carrying out identity authentication on the client based on the login information;
the judging module is used for receiving the transaction request of the client and judging the category of the transaction request of the client when the identity authentication of the client is determined to pass;
the identification module is used for calling face identification microservice to carry out face identification on the client when the type of the transaction request of the client is determined to be ordering behavior;
the generating module is used for generating the client number of the client when the face recognition of the client is determined to pass;
the traversal module is used for calling a query interface of the account information to traverse the account information table by taking the client number of the client as the access reference;
the acquisition module is used for acquiring current account information corresponding to the account from the account information table and submitting the current account information to the micro service application system when the account of the customer is traversed from the account information table;
the determining module is used for calling risk control micro-service based on the current account information to determine the available quota of the order placing action applied by the client and synchronizing the available quota of the order placing action applied by the client to account management micro-service;
and the updating module is used for calling the account management micro-service system to change the available quota of the transaction request and updating the current available quota in the current account information.
A third aspect of the present invention provides an electronic device, wherein the processor is configured to implement the micro-service based credit updating method when executing a computer program stored in a memory.
A fourth aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements the micro-service based credit updating method.
In summary, according to the credit updating method, device, electronic device and storage medium based on micro-services, on one hand, through the account management system based on micro-services, each micro-service system in the system operates independently, the transaction data is stored independently, and the transaction data of each micro-service can be called each other, so that when a plurality of micro-service systems operate simultaneously, the transaction data do not affect each other, and the availability and stability of the account management system are improved; on the other hand, the personal identity authentication is carried out through a preset open source interface which is a special line access channel, and the three elements are accessed in an encrypted manner in the whole process, so that the risks of domain name hijacking, man-in-the-middle attack and the like are prevented, and the security of personal information is improved; finally, in the login stage, after the personal identity authentication is ensured to pass, the living body detection service and the image detection service in the face recognition micro-service are called to carry out face recognition, so that double authentication is carried out, and the safety of the account is improved.
Drawings
FIG. 1 is a flowchart illustrating a method for updating a quota based on a micro service according to an embodiment of the present invention.
FIG. 2 is a diagram of the structure of an amount updating device based on micro-services according to the second embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a detailed description of the present invention will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and features of the embodiments may be combined with each other without conflict.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Example one
FIG. 1 is a flowchart illustrating a method for updating a quota based on a micro service according to an embodiment of the present invention.
As shown in FIG. 1, the method for updating the quota based on the micro service specifically includes the following steps, and the order of the steps in the flowchart may be changed and some may be omitted according to different requirements.
S11: and receiving login information of the client, and performing identity authentication of the client based on the login information.
In this embodiment, the client device displays a login interface on a display screen, and the user inputs login information on the login interface, where the login information includes three elements input by the client.
Preferably, the performing of the client authentication based on the login information includes:
acquiring three elements in the login information;
matching data in a data source corresponding to the three-element butt joint preset open source interface;
when the three elements are matched with data in a data source corresponding to the preset open source interface, determining that the identity verification of the client is passed;
and when any element in the three elements is not matched with the data in the data source corresponding to the preset open source interface, determining that the identity authentication of the client is not passed.
In this embodiment, the three elements include an identification number, a name, and a mobile phone number, the preset open source interface is docked based on the three elements, and the three elements are matched in a data source corresponding to the preset source interface, where the open source interface may be a public security network open source interface. When the three elements are matched with data in a data source corresponding to the preset open source interface, determining that the personal identity information of the client is consistent; and when any one element in the three elements is not matched with the data in the data source corresponding to the preset open source interface, determining that the personal identity information of the client is inconsistent.
In the embodiment, the personal identity authentication is performed through the preset open source interface, which is a private access channel, and the login information is subjected to whole-process encrypted access, so that the risks of domain name hijacking, man-in-the-middle attack and the like are prevented, and the security of the personal information of the client is improved.
S12: and when the identity authentication of the client is determined to pass, receiving the transaction request of the client, and judging the category of the transaction request of the client.
In this implementation, the transaction request category includes an order placing behavior and a repayment behavior, and after the customer identity verification passes, the transaction request of the customer is determined, where the transaction request corresponds to the transaction request category of the customer.
S13: and when the type of the transaction request of the client is determined to be the ordering behavior, calling a face recognition micro-service to perform face recognition on the client.
In this embodiment, the face recognition micro-service is divided into a living body detection service and an image detection service, and the face recognition is performed on the client through the living body detection service and the image detection service.
Preferably, the invoking of the face recognition microservice to perform face recognition on the client includes:
when an authentication request of face recognition of the client is received, calling a living body detection service in a face recognition micro-service to recognize whether a face image which is separated from a short video stream uploaded by the client is a living body;
when the face image is determined to be a living body, calling an image detection service in the face recognition micro-service to call a preset open source interface according to a face image code transmitted by the living body detection service to perform image detection;
when the received image detection result returned by the open source interface is passed, determining that the face recognition of the client is passed;
and when the received image detection result returned by the open source interface is failed, or when the face image separated by the short video stream uploaded by the client is determined to be a living body but the image detection result returned by the open source interface is failed, determining that the face recognition of the client is failed.
In this embodiment, the face image is extracted from a short video uploaded by a client, the short video includes a face image of the front of a client, when face recognition is performed, whether the face image of the client is a living body is recognized by calling a living body detection service in a face recognition micro-service, when the face image is determined to be the living body, the face image detection service is called again to detect the face image, and when the face image passes, it is determined that the face recognition of the client passes.
Further, the invoking a living body detection service in the human face recognition microservice to recognize whether the human face image separated out by the short video stream uploaded by the client is a living body comprises:
generating a living body detection service instance in the living body detection service based on the face image separated out by the short video stream uploaded by the client;
registering the living body detection service instance to a preset registration center;
extracting the face feature data of the face image from the corresponding file of the service interface layer of the preset registry;
inputting the face feature data into the living body detection service for living body detection, and returning the living body detection result;
when the living body detection result is that the living body passes, determining that the face image is a living body;
and when the living body detection result is passed, determining that the face image is not a living body.
In this embodiment, when the client initiates face recognition, the client searches for the in-vivo detection service through an intelligent routing gateway, and when the in-vivo detection service is found, a in-vivo detection service instance is generated in the in-vivo detection service based on a face image separated from a short video stream uploaded by the client, and the in-vivo detection service instance is registered in a preset registration center, where the preset registration center may be an euroka registration center, a json file and java are compiled in a class file of a service interface layer of the euroka registration center, and a json key value pair is obtained, where a URI, a configuration target, and a monitoring port are configured in a file of the service interface layer, the json key value pair is face feature data corresponding to the face image, and the face feature data of the face image is input to the in-vivo detection service, and returning the living body detection result, identifying, exporting the living body detection result into a json format file, and forming a message body to return or forward.
Further, the calling an image detection service in the human face recognition micro-service calls a preset open source interface to perform image detection according to the human face image code transmitted by the living body detection service, and the calling the image detection service includes:
accessing the preset registration center to obtain an IP port of an image detection service instance based on the HTTP endpoint of the image detection service;
establishing a connection with a service interface layer based on the IP port;
editing the facial image code in the corresponding file of the service interface layer to obtain a facial image to be detected;
inputting the facial image to be detected into an image detection service for image detection, returning an image detection score of the facial image to be detected, and comparing the image detection score with a preset image score threshold value;
when the image detection score is greater than or equal to the preset image score threshold value, determining that the image detection is passed;
determining that the image detection fails when the image detection score is less than the preset image score threshold.
In this embodiment, when the living body detection service instance detects that the face image is a living body, an HTTP endpoint of a configuration target image detection service in a URI is configured in a file of the service interface layer, a preset registry is accessed to obtain an IP port of the image detection service instance, after the IP port of the image detection service instance is obtained, a connection to the service interface layer is established based on the IP port, mapping between a json file and java is compiled in a class file of the service interface layer, a face image to be detected corresponding to the face image code is obtained by editing, the face image to be detected is input to an image detection service for image detection, the image detection score is returned, the image detection score is compared with a preset image score, and whether the image detection passes or not is determined.
In the embodiment, in the login stage, after the personal identity authentication is passed, the living body detection service and the image detection service in the face recognition micro-service are called to perform face recognition, so that double authentication is performed, and the account security is improved.
Further, the method further comprises:
when the type of the transaction request of the customer is determined to be a repayment behavior, responding to a repayment instruction, and inquiring the progress of the repayment behavior corresponding to all arrears under the account of the customer;
and if the payment is detected to be completed, updating the available amount of the account of the client.
In this embodiment, when the customer needs to pay, the progress of the payment behaviors corresponding to all arrears of the customer's account is queried, and if it is detected that all arrears of the customer have completed payment, the available amount of the account in the current account information of the customer's account is determined.
S14: and when the face recognition of the client is determined to pass, generating the client number of the client.
In this embodiment, the customer number of the customer is an identifier that uniquely identifies the account of the customer, and when the face identification of the customer passes, a unique customer number is created for the customer, so that the account management system can manage and update the account of the customer in real time.
S15: and calling a query interface of the account information to traverse the account information table by taking the customer number of the customer as a reference.
In this embodiment, the account information table stores a customer number of an account, and the account information table is traversed based on the customer number of the customer.
S16: and when the account of the customer is traversed from the account information table, acquiring the current account information corresponding to the account from the account information table and submitting the current account information to the micro service application system.
In this embodiment, the account management micro-service system and the micro-service application system operate independently, the account management system may synchronize current account information corresponding to the account into the micro-service application system, and when traversing the account of the customer from the account information table, obtain the current account information corresponding to the account from the micro-service account management system and submit the current account information to the micro-service application system, where the current account information includes a credit line, a current available line, and a preset line rule.
Preferably, the obtaining of the current account information corresponding to the account from the account information table includes:
unpacking a received message returned by the account management system and mapping the unpacked message to a json file;
traversing all key values in the json file, and acquiring the key values corresponding to the key values;
and reading the key value as the current account information corresponding to the account.
In this embodiment, after the key value in the json file is read as the current account information corresponding to the account, the current account information is displayed on the corresponding display column of the HTML5 page in real time.
In this embodiment, the current account information is displayed on the corresponding display column of the HTML5 page in real time, so that the client can conveniently view the current account information in real time, arrange ordering behavior in advance, and improve the experience of the client.
Further, the method further comprises:
when the account of the client is not traversed from the account information table or the account traversed to the client is invalid, initiating an appointment for risk checking to the client, wherein the account information table is stored in a block chain node;
and when the risk audit is determined to pass, generating the client account.
It is emphasized that, to further ensure the privacy and security of the account information table, the account information table may also be stored in a node of a block chain.
In this embodiment, when the client applies for a transaction behavior, if the client does not have an account or the existing account is invalid, risk auditing of the client is required, a risk auditing result of the client is stored in a risk control microservice, and when the risk auditing of the client passes, a client account is created for the client; when the risk audit of the client fails, determining that the transaction behavior applied by the client does not match the risk level of the client.
S17: and calling risk control micro-service based on the current account information to determine the available quota of the ordering action applied by the client, and synchronizing the available quota of the ordering action applied by the client to an account management micro-service system.
In this embodiment, when the current account information received in the micro service application system is received, a risk control micro service is called, the risk control information of the client is obtained from the risk control micro service, the available quota of the ordering action applied by the client is determined according to the risk control information of the client, the credit line of the client, the current available quota and a preset quota rule, and the available quota of the ordering action applied by the client is synchronized to the account management micro service.
In the embodiment, the available quota of the ordering action applied by the client is determined through the client's wind control information, the credit line, the current available quota and the preset quota rule, and the reasonability of the available quota determined by considering the preset quota rule is ensured.
S18: and calling the account management micro-service system to change the available quota of the transaction request and update the current available quota in the current account information.
In this embodiment, the data between the micro service application and the account management micro service system is independently stored, when the micro service application is confirmed to obtain the transaction request, the transaction amount in the account information after transaction in the micro service application is synchronized to the account management micro service system, and after the account management micro service system receives the available amount of the transaction request, the available amount in the current account information is released to obtain the updated available amount of the current account information, and the available amount in the current account information is updated in real time, so that the management capability of account management is improved, and the timeliness of the available amount in the account information is ensured.
In summary, according to the credit updating method based on micro-services in this embodiment, on one hand, through the account management system based on micro-services, each micro-service system in the system operates independently, the transaction data is stored independently, and the transaction data of each micro-service can be called each other, when a plurality of micro-service systems operate simultaneously, the transaction data do not affect each other, so that the availability and stability of the account management system are improved; on the other hand, the personal identity authentication is carried out through a preset open source interface which is a special line access channel, and the three elements are accessed in an encrypted manner in the whole process, so that the risks of domain name hijacking, man-in-the-middle attack and the like are prevented, and the security of personal information is improved; finally, in the login stage, after the personal identity authentication is ensured to pass, the living body detection service and the image detection service in the face recognition micro-service are called to carry out face recognition, so that double authentication is carried out, and the safety of the account is improved.
Example two
FIG. 2 is a diagram of the structure of an amount updating device based on micro-services according to the second embodiment of the present invention.
In some embodiments, the credit update apparatus 20 based on micro-services may include a plurality of functional modules composed of program code segments. The program codes of the program segments in the micro-service based credit updating apparatus 20 may be stored in the memory of the electronic device and executed by the at least one processor to perform (see fig. 1 for details) micro-service based credit updating.
In this embodiment, the credit update apparatus 20 based on micro-services may be divided into a plurality of functional modules according to the functions performed by the credit update apparatus. The functional module may include: the system comprises a receiving module 201, a judging module 202, an identifying module 203, a generating module 204, a traversing module 205, an obtaining module 206, a determining module 207 and an updating module 208. The module referred to herein is a series of computer program segments capable of being executed by at least one processor and capable of performing a fixed function and is stored in memory. In the present embodiment, the functions of the modules will be described in detail in the following embodiments.
The receiving module 201: the system comprises a client and a server, wherein the client is used for receiving login information of the client and carrying out identity authentication of the client based on the login information.
In this embodiment, the client device displays a login interface on a display screen, and the user inputs login information on the login interface, where the login information includes three elements input by the client.
Preferably, the receiving module 201 performs the client authentication based on the login information, including:
acquiring three elements in the login information;
matching data in a data source corresponding to the three-element butt joint preset open source interface;
when the three elements are matched with data in a data source corresponding to the preset open source interface, determining that the identity verification of the client is passed;
and when any element in the three elements is not matched with the data in the data source corresponding to the preset open source interface, determining that the identity authentication of the client is not passed.
In this embodiment, the three elements include an identification number, a name, and a mobile phone number, the preset open source interface is docked based on the three elements, and the three elements are matched in a data source corresponding to the preset source interface, where the open source interface may be a public security network open source interface. When the three elements are matched with data in a data source corresponding to the preset open source interface, determining that the personal identity information of the client is consistent; and when any one element in the three elements is not matched with the data in the data source corresponding to the preset open source interface, determining that the personal identity information of the client is inconsistent.
In the embodiment, the personal identity authentication is performed through the preset open source interface, which is a private access channel, and the login information is subjected to whole-process encrypted access, so that the risks of domain name hijacking, man-in-the-middle attack and the like are prevented, and the security of the personal information of the client is improved.
The judging module 202: and the system is used for receiving the transaction request of the client and judging the category of the transaction request of the client when the authentication of the client is determined to pass.
In this implementation, the transaction request category includes an order placing behavior and a repayment behavior, and after the customer identity verification passes, the transaction request of the customer is determined, where the transaction request corresponds to the transaction request category of the customer.
The recognition module 203: and when the type of the transaction request of the client is determined to be ordering behavior, calling a face recognition micro-service to perform face recognition on the client.
In this embodiment, the face recognition micro-service is divided into a living body detection service and an image detection service, and the face recognition is performed on the client through the living body detection service and the image detection service.
Preferably, the step of calling the face recognition micro-service by the recognition module 203 to perform face recognition on the client includes:
when an authentication request of face recognition of the client is received, calling a living body detection service in a face recognition micro-service to recognize whether a face image which is separated from a short video stream uploaded by the client is a living body;
when the face image is determined to be a living body, calling an image detection service in the face recognition micro-service to call a preset open source interface according to a face image code transmitted by the living body detection service to perform image detection;
when the received image detection result returned by the open source interface is passed, determining that the face recognition of the client is passed;
and when the received image detection result returned by the open source interface is failed, or when the face image separated by the short video stream uploaded by the client is determined to be a living body but the image detection result returned by the open source interface is failed, determining that the face recognition of the client is failed.
In this embodiment, the face image is extracted from a short video uploaded by a client, the short video includes a face image of the front of a client, when face recognition is performed, whether the face image of the client is a living body is recognized by calling a living body detection service in a face recognition micro-service, when the face image is determined to be the living body, the face image detection service is called again to detect the face image, and when the face image passes, it is determined that the face recognition of the client passes.
Further, the invoking a living body detection service in the human face recognition microservice to recognize whether the human face image separated out by the short video stream uploaded by the client is a living body comprises:
generating a living body detection service instance in the living body detection service based on the face image separated out by the short video stream uploaded by the client;
registering the living body detection service instance to a preset registration center;
extracting the face feature data of the face image from the corresponding file of the service interface layer of the preset registry;
inputting the face feature data into the living body detection service for living body detection, and returning the living body detection result;
when the living body detection result is that the living body passes, determining that the face image is a living body;
and when the living body detection result is passed, determining that the face image is not a living body.
In this embodiment, when the client initiates face recognition, the client searches for the in-vivo detection service through an intelligent routing gateway, and when the in-vivo detection service is found, a in-vivo detection service instance is generated in the in-vivo detection service based on a face image separated from a short video stream uploaded by the client, and the in-vivo detection service instance is registered in a preset registration center, where the preset registration center may be an euroka registration center, a json file and java are compiled in a class file of a service interface layer of the euroka registration center, and a json key value pair is obtained, where a URI, a configuration target, and a monitoring port are configured in a file of the service interface layer, the json key value pair is face feature data corresponding to the face image, and the face feature data of the face image is input to the in-vivo detection service, and returning the living body detection result, identifying, exporting the living body detection result into a json format file, and forming a message body to return or forward.
Further, the calling an image detection service in the human face recognition micro-service calls a preset open source interface to perform image detection according to the human face image code transmitted by the living body detection service, and the calling the image detection service includes:
accessing the preset registration center to obtain an IP port of an image detection service instance based on the HTTP endpoint of the image detection service;
establishing a connection with a service interface layer based on the IP port;
editing the facial image code in the corresponding file of the service interface layer to obtain a facial image to be detected;
inputting the facial image to be detected into an image detection service for image detection, returning an image detection score of the facial image to be detected, and comparing the image detection score with a preset image score threshold value;
when the image detection score is greater than or equal to the preset image score threshold value, determining that the image detection is passed;
determining that the image detection fails when the image detection score is less than the preset image score threshold.
In this embodiment, when the living body detection service instance detects that the face image is a living body, an HTTP endpoint of a configuration target image detection service in a URI is configured in a file of the service interface layer, a preset registry is accessed to obtain an IP port of the image detection service instance, after the IP port of the image detection service instance is obtained, a connection to the service interface layer is established based on the IP port, mapping between a json file and java is compiled in a corresponding file of the service interface layer, a face image to be detected corresponding to the face image code is obtained by editing, the face image to be detected is input to an image detection service for image detection, the image detection score is returned, the image detection score is compared with a preset image score, and whether the image detection passes or not is determined.
In the embodiment, in the login stage, after the personal identity authentication is passed, the living body detection service and the image detection service in the face recognition micro-service are called to perform face recognition, so that double authentication is performed, and the account security is improved.
Further, when the type of the transaction request of the client is determined to be a repayment behavior, responding to a repayment instruction, inquiring progress of the repayment behavior corresponding to all arrears under the account of the client, and if the completion of the repayment behavior is detected, updating the available limit of the account of the client.
In this embodiment, when the customer needs to pay, the progress of the payment behaviors corresponding to all arrears of the customer's account is queried, and if it is detected that all arrears of the customer have completed payment, the available amount of the account in the current account information of the customer's account is determined.
The generation module 204: and the client number of the client is generated when the face recognition of the client is determined to pass.
In this embodiment, the customer number of the customer is an identifier that uniquely identifies the account of the customer, and when the face identification of the customer passes, a unique customer number is created for the customer, so that the account management system can manage and update the account of the customer in real time.
The traversal module 205: and the inquiry interface for calling the account information traverses the account information table by taking the customer number of the customer as the reference.
In this embodiment, the account information table stores a customer number of an account, and the account information table is traversed based on the customer number of the customer.
The obtaining module 206: and when the account of the customer is traversed from the account information table, acquiring the current account information corresponding to the account from the account information table and submitting the current account information to the micro service application system.
In this embodiment, the account management micro-service system and the micro-service application system operate independently, the account management system may synchronize current account information corresponding to the account into the micro-service application system, and when traversing the account of the customer from the account information table, obtain the current account information corresponding to the account from the micro-service account management system and submit the current account information to the micro-service application system, where the current account information includes a credit line, a current available line, and a preset line rule.
Preferably, the obtaining module 206 obtains the current account information corresponding to the account from the account information table, where the obtaining module includes:
unpacking a received message returned by the account management system and mapping the unpacked message to a json file;
traversing all key values in the json file, and acquiring the key values corresponding to the key values;
and reading the key value as the current account information corresponding to the account.
In this embodiment, after the key value in the json file is read as the current account information corresponding to the account, the current account information is displayed on the corresponding display column of the HTML5 page in real time.
In this embodiment, the current account information is displayed on the corresponding display column of the HTML5 page in real time, so that the client can conveniently view the current account information in real time, arrange ordering behavior in advance, and improve the experience of the client.
Further, the traversal module 205: and the system is further used for initiating reservation for risk checking to the client when the account of the client is not traversed from the account information table or the account traversed to the client is invalid, wherein the account information table is stored in the block link point.
The generation module 204: and the client account is further used for generating the client account when the risk audit is determined to pass.
It is emphasized that, to further ensure the privacy and security of the account information table, the account information table may also be stored in a node of a block chain.
In this embodiment, when the client applies for a transaction behavior, if the client does not have an account or the existing account is invalid, risk auditing of the client is required, a risk auditing result of the client is stored in a risk control microservice, and when the risk auditing of the client passes, a client account is created for the client; when the risk audit of the client fails, determining that the transaction behavior applied by the client does not match the risk level of the client.
The determination module 207: and the risk control micro-service is used for calling the risk control micro-service based on the current account information to determine the available quota of the order placing action applied by the client, and synchronizing the available quota of the order placing action applied by the client to the account management micro-service.
In this embodiment, when the current account information received in the micro service application system is received, a risk control micro service is called, the risk control information of the client is obtained from the risk control micro service, the available quota of the ordering action applied by the client is determined according to the risk control information of the client, the credit line of the client, the current available quota and a preset quota rule, and the available quota of the ordering action applied by the client is synchronized to the account management micro service.
In the embodiment, the available quota of the ordering action applied by the client is determined through the client's wind control information, the credit line, the current available quota and the preset quota rule, and the reasonability of the available quota determined by considering the preset quota rule is ensured.
The update module 208: and the account management micro-service system is used for calling to change the available quota of the transaction request and updating the current available quota in the current account information.
In this embodiment, the data between the micro service application and the account management micro service system is independently stored, when the micro service application is confirmed to obtain the transaction request, the transaction amount in the account information after transaction in the micro service application is synchronized to the account management micro service system, and after the account management micro service system receives the available amount of the transaction request, the available amount in the current account information is released to obtain the updated available amount of the current account information, and the available amount in the current account information is updated in real time, so that the management capability of account management is improved, and the timeliness of the available amount in the account information is ensured.
In summary, in the credit updating apparatus based on micro-services according to this embodiment, on one hand, through the account management system based on micro-services, each micro-service system in the system operates independently, the transaction data is stored independently, and the transaction data of each micro-service can be called each other, when a plurality of micro-service systems operate simultaneously, they do not affect each other, so that the availability and stability of the account management system are improved; on the other hand, the personal identity authentication is carried out through a preset open source interface which is a special line access channel, and the three elements are accessed in an encrypted manner in the whole process, so that the risks of domain name hijacking, man-in-the-middle attack and the like are prevented, and the security of personal information is improved; finally, in the login stage, after the personal identity authentication is ensured to pass, the living body detection service and the image detection service in the face recognition micro-service are called to carry out face recognition, so that double authentication is carried out, and the safety of the account is improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. In the preferred embodiment of the present invention, the electronic device 3 comprises a memory 31, at least one processor 32, at least one communication bus 33 and a transceiver 34.
It will be appreciated by those skilled in the art that the configuration of the electronic device shown in fig. 3 does not constitute a limitation of the embodiment of the present invention, and may be a bus-type configuration or a star-type configuration, and the electronic device 3 may include more or less other hardware or software than those shown, or a different arrangement of components.
In some embodiments, the electronic device 3 is an electronic device capable of automatically performing numerical calculation and/or information processing according to instructions set or stored in advance, and the hardware thereof includes but is not limited to a microprocessor, an application specific integrated circuit, a programmable gate array, a digital processor, an embedded device, and the like. The electronic device 3 may also include a client device, which includes, but is not limited to, any electronic product that can interact with a client through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device, for example, a personal computer, a tablet computer, a smart phone, a digital camera, and the like.
It should be noted that the electronic device 3 is only an example, and other existing or future electronic products, such as those that can be adapted to the present invention, should also be included in the scope of the present invention, and are included herein by reference.
In some embodiments, the memory 31 is used for storing program codes and various data, such as the micro service-based credit update apparatus 20 installed in the electronic device 3, and realizes high-speed and automatic access to programs or data during the operation of the electronic device 3. The Memory 31 includes a Read-Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable rewritable Read-Only Memory (Electrically-Erasable Programmable Read-Only Memory (EEPROM)), an optical Read-Only Memory (CD-ROM) or other optical disk Memory, a magnetic disk Memory, a tape Memory, or any other medium readable by a computer capable of carrying or storing data.
In some embodiments, the at least one processor 32 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The at least one processor 32 is a Control Unit (Control Unit) of the electronic device 3, connects various components of the electronic device 3 by using various interfaces and lines, and executes various functions and processes data of the electronic device 3 by running or executing programs or modules stored in the memory 31 and calling data stored in the memory 31.
In some embodiments, the at least one communication bus 33 is arranged to enable connection communication between the memory 31 and the at least one processor 32 or the like.
Although not shown, the electronic device 3 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 32 through a power management device, so as to implement functions of managing charging, discharging, and power consumption through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 3 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The integrated unit implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, an electronic device, or a network device) or a processor (processor) to execute parts of the methods according to the embodiments of the present invention.
In a further embodiment, in conjunction with fig. 2, the at least one processor 32 may execute an operating device of the electronic device 3 and various installed application programs (such as the credit update device 20 based on micro service), program codes, and the like, for example, the above modules.
The memory 31 has program code stored therein, and the at least one processor 32 can call the program code stored in the memory 31 to perform related functions. For example, the modules described in fig. 2 are program codes stored in the memory 31 and executed by the at least one processor 32, so as to implement the functions of the modules for the purpose of updating the quota based on the micro service.
In one embodiment of the present invention, the memory 31 stores a plurality of instructions that are executed by the at least one processor 32 to implement functions for updating a credit based on a microservice.
Specifically, the at least one processor 32 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1, and details are not repeated here.
Further, the computer usable 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 according to the use of the blockchain node, and the like.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules 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, or in a form of hardware plus a software functional module.
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 is obvious that the word "comprising" does not exclude other elements or that the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A quota updating method based on micro service is characterized by comprising the following steps:
receiving login information of a client, and performing identity authentication of the client based on the login information;
when the identity authentication of the client is confirmed to pass, receiving a transaction request of the client, and judging the category of the transaction request of the client;
when the type of the transaction request of the customer is determined to be ordering behavior, face recognition micro-service is called to carry out face recognition on the customer;
when the face recognition of the client is determined to pass, generating a client number of the client;
calling a query interface of account information to traverse an account information table by taking the customer number of the customer as an access parameter;
when the account of the customer is traversed from the account information table, acquiring current account information corresponding to the account from the account information table and submitting the current account information to an application micro-service system;
calling risk control micro-service based on the current account information to determine the available quota of the order placing action applied by the client, and synchronizing the available quota of the order placing action applied by the client to an account management micro-service system;
and calling the account management micro-service system to change the available quota of the transaction request and update the current available quota in the current account information.
2. The credit updating method based on microservice of claim 1, wherein the calling the face recognition microservice to perform face recognition on the client comprises:
when an authentication request of face recognition of the client is received, calling a living body detection service in a face recognition micro-service to recognize whether a face image which is separated from a short video stream uploaded by the client is a living body;
when the face image is determined to be a living body, calling an image detection service in the face recognition micro-service to call a preset open source interface according to a face image code transmitted by the living body detection service to perform image detection;
when the received image detection result returned by the open source interface is passed, determining that the face recognition of the client is passed;
and when the received image detection result returned by the open source interface is failed, or when the face image separated by the short video stream uploaded by the client is determined to be a living body but the image detection result returned by the open source interface is failed, determining that the face recognition of the client is failed.
3. The credit updating method based on micro-service as claimed in claim 2, wherein the invoking of living body detection service in the human face recognition micro-service to recognize whether the human face image separated from the short video stream uploaded by the client is a living body comprises:
generating a living body detection service instance in the living body detection service based on the face image separated out by the short video stream uploaded by the client;
registering the living body detection service instance to a preset registration center;
extracting the face feature data of the face image from the corresponding file of the service interface layer of the preset registry;
inputting the face feature data into the living body detection service for living body detection, and returning the living body detection result;
when the living body detection result is that the living body passes, determining that the face image is a living body;
and when the living body detection result is passed, determining that the face image is not a living body.
4. The method for updating credit based on micro-service of claim 3, wherein the calling the image detection service in the face recognition micro-service calls a preset open source interface for image detection according to the face image code transmitted by the living body detection service comprises:
accessing the preset registration center to obtain an IP port of an image detection service instance based on the HTTP endpoint of the image detection service;
establishing a connection with a service interface layer based on the IP port;
editing the facial image code in the corresponding file of the service interface layer to obtain a facial image to be detected;
inputting the facial image to be detected into an image detection service for image detection, returning an image detection score of the facial image to be detected, and comparing the image detection score with a preset image score threshold value;
when the image detection score is greater than or equal to the preset image score threshold value, determining that the image detection is passed;
determining that the image detection fails when the image detection score is less than the preset image score threshold.
5. The method for updating credit based on microservice of claim 1, wherein the obtaining the current account information corresponding to the account from the account information table comprises:
unpacking a received message returned by the account management system and mapping the unpacked message to a json file;
traversing all keys in the json file, and acquiring key values corresponding to the keys;
and reading the key value as the current account information corresponding to the account.
6. The method for updating quota based on micro service of any of claims 1 to 5, characterized in that the method for updating quota based on micro service further comprises:
when the type of the transaction request of the customer is determined to be a repayment behavior, responding to a repayment instruction, and inquiring the progress of the repayment behavior corresponding to all arrears under the account of the customer;
and if the payment is detected to be completed, updating the available amount of the account of the client.
7. The micro-service based credit line updating method as claimed in claim 6, wherein the micro-service based credit line updating method further comprises:
when the account of the client is not traversed from the account information table or the account traversed to the client is invalid, initiating an appointment for risk checking to the client, wherein the account information table is stored in a block chain node;
and when the risk audit is determined to pass, generating the client account.
8. A micro-service based credit update device, comprising:
the receiving module is used for receiving login information of the client and carrying out identity authentication on the client based on the login information;
the judging module is used for receiving the transaction request of the client and judging the category of the transaction request of the client when the identity authentication of the client is determined to pass;
the identification module is used for calling face identification microservice to carry out face identification on the client when the type of the transaction request of the client is determined to be ordering behavior;
the generating module is used for generating the client number of the client when the face recognition of the client is determined to pass;
the traversal module is used for calling a query interface of the account information to traverse the account information table by taking the client number of the client as the access reference;
the acquisition module is used for acquiring current account information corresponding to the account from the account information table and submitting the current account information to the micro service application system when the account of the customer is traversed from the account information table;
the determining module is used for calling risk control micro-service based on the current account information to determine the available quota of the order placing action applied by the client and synchronizing the available quota of the order placing action applied by the client to the account management micro-service system;
and the updating module is used for calling the account management micro-service system to change the available quota of the transaction request and updating the current available quota in the current account information.
9. An electronic device, comprising a processor, wherein the processor is configured to implement the method for updating the quota based on micro-service according to any one of claims 1 to 7 when executing the computer program stored in the memory.
10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the micro-service based credit updating method according to any one of claims 1 to 7.
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Application publication date: 20201020 |