CN112307024A - Data curing method and device, computer equipment and computer readable storage medium - Google Patents
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Abstract
The application discloses a data curing method, a data curing device, computer equipment and a computer readable storage medium, and relates to the technical field of Internet. The method comprises the following steps: when application information submitted by a user is received, analyzing the application information according to the data type to obtain subdata; acquiring a preset product, and determining a preset curing link and preset curing content in the preset product; establishing an incidence relation between a preset solidification link and the subdata according to the data type indicated by the preset solidification content; and according to the incidence relation, the subdata is solidified to a preset solidification link of a preset product.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a data curing method, apparatus, computer device, and computer-readable storage medium.
Background
With the continuous development of internet technology, many businesses in companies and enterprises are on-line, and clients can apply for corresponding products to the companies or enterprises on-line. After a customer applies for a product, a company or an enterprise verifies and evaluates data submitted by the customer in an application process, the accuracy of verification and evaluation is an important basis for providing the product for the customer, and the service experience of the customer is determined, so that in order to prevent some data from missing in the verification and evaluation process, when the customer applies for some products, data required for subsequent verification and evaluation is generally solidified in the product process, so that fair and fair verification and evaluation operations can be performed on the basis of the solidified data.
In the related technology, after data submitted by a client is received, a product applied by the client is determined, when the product application flow is executed to a designated link, the data submitted by the client is analyzed and processed, the data needing to be solidified in the designated link is determined, and the determined data is solidified.
In carrying out the present application, the applicant has found that the related art has at least the following problems:
the appointed link in each product application flow can only solidify data appointed in data submitted by a client, and the data submitted by the client can be analyzed to determine which data are solidified when the same client applies for different products, even if multiple products applied by the client belong to the same type of products, the data required to be solidified are the same, or the data analysis and solidification processes are respectively executed, so that the data solidified in the data solidification process are single, the data solidification flow is complicated, the efficiency of customer evaluation is reduced, and the consistency of the data solidified in different links of different flows is difficult to ensure.
Disclosure of Invention
In view of this, the present application provides a data curing method, an apparatus, a computer device, and a computer readable storage medium, and mainly aims to solve the problems that the data cured in the current data curing process is single, the data curing process is tedious, the efficiency of evaluating a client is reduced, and the consistency of the data cured in different links of different processes is difficult to ensure.
According to a first aspect of the present application, there is provided a data curing method, the method comprising:
when application information submitted by a user is received, analyzing the application information according to the data type to obtain at least one subdata;
the method comprises the steps of obtaining a plurality of preset products, and determining a plurality of preset curing links and a plurality of preset curing contents in the preset products, wherein the plurality of preset curing contents are contents which are indicated by each preset curing link in the preset curing links and have curing requirements;
establishing an incidence relation between the plurality of preset solidification links and the at least one subdata according to the data types indicated by the plurality of preset solidification contents;
and according to the incidence relation, curing the at least one subdata to the preset curing links of the preset products.
In another embodiment, the parsing the application information according to the data type to obtain at least one sub-data includes:
reading data items included in the application information, splitting the application information to obtain a plurality of member information corresponding to a plurality of data items;
and respectively determining the data type of each data item in the data items, and dividing member information corresponding to the data items with the same data type into the same group to obtain the at least one subdata.
In another embodiment, the establishing, according to the data type indicated by the preset solidified contents, an association relationship between the preset solidified links and the at least one sub-data includes:
for the plurality of preset solidified contents, determining the data type indicated by the preset solidified contents;
reading the data type of the at least one piece of subdata, and determining target subdata of which the data type is consistent with the data type indicated by the preset solidified content in the at least one piece of subdata;
binding a preset curing link corresponding to the preset curing content with the target subdata, and establishing an association relationship between the preset curing link and the target subdata;
determining a preset product to which the preset curing link belongs, and marking the associated preset curing link and the target subdata by adopting the product name of the preset product, the preset curing content and the data type indicated by the preset curing content;
and establishing a relevant incidence relation for a preset curing link corresponding to each preset curing content in the plurality of preset curing contents respectively to obtain the incidence relation between the plurality of preset curing links and the at least one subdata.
In another embodiment, after the establishing of the association relationship between the plurality of preset solidification links and the at least one sub-data according to the data types indicated by the plurality of preset solidification contents, the method includes:
creating a data configuration storage table, and adding the incidence relation between the preset curing links and the at least one subdata to the data configuration storage table;
and determining a preset product and a data type corresponding to each preset curing link in the plurality of preset curing links, and adding the preset product and the data type corresponding to each preset curing link to the data configuration storage table.
In another embodiment, the solidifying the at least one piece of sub-data to the plurality of preset solidifying links of the plurality of preset products includes:
for each subdata in the at least one subdata, determining a target preset solidification link and a target preset product, wherein the incidence relation exists between the subdata and the target preset solidification link;
marking the subdata based on the link name of the target preset solidification link and the product type of the target preset product;
and storing the marked subdata into a database as a big data field or a text field.
In another embodiment, after storing the marked sub-data as a big data field or a text field in a database, the method further includes:
determining the storage position of the marked subdata in the database, and taking the storage position as a curing path of the subdata;
and acquiring a data configuration storage table, and adding the curing path to a corresponding position of the subdata in the data configuration storage table, wherein the data configuration storage table is used for storing the association relationship between the preset curing links and the at least one subdata.
In another embodiment, the method further comprises:
when detecting that the user is in a designated link in an application flow, acquiring a target product applied by the user, wherein the designated link is a link with a data acquisition requirement in the application flow of the target product;
determining a designated preset product to which the target product belongs, and inquiring a designated preset solidification link corresponding to the designated preset product;
and extracting target subdata in the appointed preset solidification link, and processing the target subdata according to the operation indicated by the appointed link.
According to a second aspect of the present application, there is provided a data solidifying apparatus, the apparatus comprising:
the analysis module is used for analyzing the application information according to the data type when the application information submitted by a user is received to obtain at least one subdata;
the system comprises a determining module, a processing module and a processing module, wherein the determining module is used for acquiring a plurality of preset products, and determining a plurality of preset curing links and a plurality of preset curing contents in the plurality of preset products, and the plurality of preset curing contents are contents which are indicated by each preset curing link in the plurality of preset curing links and have curing requirements;
the establishing module is used for establishing an incidence relation between the plurality of preset solidification links and the at least one subdata according to the data types indicated by the plurality of preset solidification contents;
and the curing module is used for curing the at least one subdata to the plurality of preset curing links of the plurality of preset products according to the incidence relation.
In another embodiment, the parsing module includes:
the splitting unit is used for reading the data items included in the application information, splitting the application information and obtaining a plurality of member information corresponding to a plurality of data items;
and the dividing unit is used for respectively determining the data type of each data item in the data items, and dividing the member information corresponding to the data items with the same data type into the same group to obtain the at least one subdata.
In another embodiment, the establishing module includes:
the determining unit is used for determining the data type indicated by the preset curing content for the plurality of preset curing contents;
the reading unit is used for reading the data type of the at least one piece of subdata and determining target subdata with the data type consistent with the data type indicated by the preset solidified content in the at least one piece of subdata;
a binding unit, configured to bind a preset curing link corresponding to the preset curing content with the target sub-data, and establish an association relationship between the preset curing link and the target sub-data;
a marking unit, configured to determine a preset product to which the preset curing link belongs, and mark the associated preset curing link and the target sub-data by using a product name of the preset product, the preset curing content, and a data type indicated by the preset curing content;
the binding unit is further configured to establish a relevant association relationship for a preset curing link corresponding to each preset curing content in the plurality of preset curing contents, respectively, so as to obtain an association relationship between the plurality of preset curing links and the at least one subdata.
In another embodiment, the apparatus comprises:
the creating module is used for creating a data configuration storage table and adding the incidence relation between the preset curing links and the at least one subdata to the data configuration storage table;
and the adding module is used for determining the preset products and the data types corresponding to each preset curing link in the plurality of preset curing links and adding the preset products and the data types corresponding to each preset curing link to the data configuration storage table.
In another embodiment, the curing module includes:
the first determining unit is used for determining a target preset curing link and a target preset product, wherein the target preset curing link and the target preset product have the incidence relation with each subdata in the subdata;
the marking unit is used for marking the subdata based on the link name of the target preset curing link and the product type of the target preset product;
and the storage unit is used for storing the marked subdata into a database as a big data field or a text field.
In another embodiment, the curing module further comprises:
a second determining unit, configured to determine a storage location of the marked sub-data in the database, and use the storage location as a curing path of the sub-data;
and the adding unit is used for acquiring a data configuration storage table and adding the curing path to a corresponding position of the subdata in the data configuration storage table, wherein the data configuration storage table is used for storing the association relationship between the preset curing links and the at least one subdata.
In another embodiment, the apparatus further comprises:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a target product applied by a user when detecting that the user is in a specified link in an application flow, and the specified link is a link with a data acquisition requirement in the application flow of the target product;
the query module is used for determining a specified preset product to which the target product belongs and querying a specified preset solidification link corresponding to the specified preset product;
and the processing module is used for extracting target subdata in the appointed preset solidification link and processing the target subdata according to the operation indicated by the appointed link.
According to a third aspect of the present application, there is provided a computer device comprising a memory storing a computer program and a processor implementing the steps of the method of the first aspect when the processor executes the computer program.
According to a fourth aspect of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of the first aspect described above.
By the technical scheme, the application information is classified when a user submits the application information, the application information is divided into the subdata with different data types, the preset curing link of data curing required by each preset product is determined, the data type indicated by the preset curing content required to be cured in each preset curing link is determined to be consistent with the data type of the subdata, the subdata with the consistent determined data type is cured in the preset curing link of the preset product, the application information provided by the user is directly classified and cured in the application stage of the user, the simultaneous curing of multiple types of data is realized, the data curing operation is not required to be executed when the corresponding link of the product is executed, and the data curing process is simplified, the evaluation efficiency is improved, and the consistency of data is ensured.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic flow chart illustrating a data curing method provided by an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a data curing method provided by an embodiment of the present application;
fig. 3A is a schematic structural diagram illustrating a data curing apparatus according to an embodiment of the present application;
fig. 3B is a schematic structural diagram illustrating a data curing apparatus according to an embodiment of the present application;
fig. 3C is a schematic structural diagram of a data curing apparatus provided in an embodiment of the present application;
fig. 3D is a schematic structural diagram illustrating a data curing apparatus according to an embodiment of the present application;
fig. 3E shows a schematic structural diagram of a data curing apparatus provided in an embodiment of the present application;
fig. 3F is a schematic structural diagram illustrating a data curing apparatus according to an embodiment of the present application;
fig. 3G shows a schematic structural diagram of a data curing apparatus provided in an embodiment of the present application;
fig. 4 shows a schematic device structure diagram of a computer apparatus according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
An embodiment of the present application provides a data curing method, as shown in fig. 1, the method includes:
101. when application information submitted by a user is received, the application information is analyzed according to the data type to obtain at least one subdata.
102. The method comprises the steps of obtaining a plurality of preset products, determining a plurality of preset curing links and a plurality of preset curing contents in the preset products, wherein the plurality of preset curing contents are contents which are indicated by each preset curing link in the preset curing links and have curing requirements.
103. And establishing an incidence relation between a plurality of preset solidification links and at least one subdata according to the data types indicated by the plurality of preset solidification contents.
104. And according to the incidence relation, at least one subdata is solidified to a plurality of preset solidification links of a plurality of preset products.
According to the method provided by the embodiment of the application, when a user submits application information, the application information is classified and divided into subdata with different data types, a preset curing link of data curing required by each preset product is determined, the data type indicated by preset curing content required to be cured in each preset curing link is determined to be consistent with the data type of the subdata, the subdata with the consistent determined data type is cured in the preset curing link of the preset product, the application information provided by the user is directly classified and cured in the application stage of the user, simultaneous curing of multiple types of data is achieved, data curing operation is not required to be executed when the corresponding link of the product is executed, the data curing process is simplified, evaluation efficiency is improved, and data consistency is guaranteed.
An embodiment of the present application provides a data curing method, as shown in fig. 2, the method includes:
201. when application information submitted by a user is received, the application information is analyzed according to the data type to obtain at least one subdata.
The applicant realizes that the current data solidification is a solidification with a single data form, the solidification of specific data can be realized only in a specific link, and other data except the specific data cannot be solidified. And the data that need the solidification every time are different, so need all resolve the application information that the customer provided in the data solidification process of every time, just can know which kind of data that needs to solidify at present, this not only leads to there being a large amount of repetitive work in the data solidification operation, and still there is the risk that data consistency is difficult to guarantee when the link that has the solidification demand in different processes solidifies the same data, it is different results to solidify the same data in different environment very likely, cause the influence to the result of subsequent various wind accuse operations very easily, customer's experience has been reduced. Therefore, the present application provides a data curing method, which classifies data into sub-data of different data types when a client submits the data, determines a preset curing link that each preset product needs to perform data curing, determines a data type indicated by preset curing content that each preset curing link needs to cure and which sub-data type are consistent, cures the sub-data with the consistent determined data type in the preset curing link of the preset product, directly cures application information provided by a user at the application stage of the user, and does not need to perform a data curing operation when executing a corresponding link of the product. And when the solidified data is required to be used subsequently, the solidified data can be directly extracted from the database according to the product applied at present and the preset solidification link of the product, so that data analysis only needs to be carried out once when a client submits the data, the data analysis and processing do not need to be carried out in each data solidification, a large amount of repeated workload is reduced, and the consistency of the data solidification in different links is ensured.
Therefore, when application information submitted by a user is received, the application information needs to be analyzed according to the data type to obtain at least one subdata with different data types, so that classification and solidification of the application information can be realized based on the data type. The application information may specifically include a user name, identification card information, academic information, student status information, academic degree information, contact information, and the like. It should be noted that, if the user specifies the product in which the user is interested in the platform, the user may also be required to provide application information according to the information required by the product application. If the user does not specify, the user can be required to provide the most comprehensive application information according to the default information content so as to respectively meet the requirements of different preset curing links of various different preset products on the data to be cured.
When dividing the application information, firstly, reading the data items included in the application information, and dividing the application information to obtain a plurality of member information corresponding to a plurality of data items. For example, the client information, the identification card information, the academic information, the subject information, and the academic degree information are all one data item, so that each piece of information can be used as one piece of member information, and thus, a plurality of pieces of member information can be obtained. Then, since some data are independent data, which do not belong to the same general category as other data, such as the name of the client and the information of the identification card, and some data are substantially of the same type and have the same attributes, such as the academic information, the student status information and the degree information are all substantially basic education information, it is necessary to separately determine the data type of each data item in the data items, and divide the member information corresponding to the data items of the same data type into the same group to obtain at least one piece of subdata. Among them, the data types are classified into String (single) type, Map (single) type, and List (List) type. Specifically, String type is a single data type, such as a client name, identification card information, which is data including only one piece, and thus, the corresponding data type is String type. The Map type is a single data information type, that is, one piece of information includes a plurality of data contents, for example, for basic education information, this is a broad category, and hereinafter, calendar information, student status information, degree information, and the like may be included, and thus, data types corresponding to all information included in this broad category of basic education information are Map type. The List type is a plurality of data types, that is, there are a plurality of pieces of similar information, each piece of information includes a plurality of data contents, for example, contact information, which may include a plurality of contacts, and each contact may specifically include names, cell phone numbers, relationships, and the like of the contacts, so that the contact information and the data types corresponding to all the contents thereunder are both the List type. Therefore, grouping can be performed according to the data types corresponding to the member information, and at least one piece of subdata belonging to different data types is obtained.
202. The method comprises the steps of obtaining a plurality of preset products, and determining a plurality of preset curing links and a plurality of preset curing contents in the preset products.
In the embodiment of the application, after the analysis of the application information is completed, which link of which product has the curing requirement is determined in the current various products, so that the association relation among the subdata, the product, the links and the content is established, and the targeted data curing is realized. The products are products provided for clients in a company or an enterprise, and are generally classified into several types, for example, products without mortgage, products with customization, and the like, which are also preset products in this embodiment. Further, each preset product is provided with a fixed link for data solidification, for example, no mortgage product needs to be subjected to data solidification in the 0301 link, and a mortgage product needs to be subjected to data solidification in the 0208 link, so that links with solidification requirements are determined to be taken as a plurality of preset solidification links among a plurality of preset products. In addition, each preset curing link is also used for performing targeted data curing, and not all data need to be cured, for example, a mortgage-free product needs to cure String-type data in the 0301 link, so that it is also necessary to determine the content with the curing requirement indicated by each preset curing link in the plurality of preset curing links as the plurality of preset curing contents for subsequent curing operations. Specifically, the preset curing content can indicate not only the data type corresponding to the content with the curing requirement, but also which data needs to be cured specifically, for example, can indicate that "client name and identification card information" in String-type data is cured, so that different curing requirements of different preset curing links on the content to be cured are met.
It should be noted that, in the embodiment of the present application, it is considered that links of similar products having curing requirements and designated curing contents in the links are all consistent, for example, for a product a and a product B without mortgage class, String-type data needs to be cured in the 0301 link, and therefore, in this embodiment, which link of the product needs to be cured is determined according to the type of the product, the similar products are integrally managed, and the management pressure on the data is reduced. And in the practical application process, a preset curing link and preset curing content can be determined for each product respectively so as to improve the data curing precision, and the method and the device do not specifically limit which mechanism is adopted to manage the products in the data curing process.
203. And establishing an incidence relation between a plurality of preset solidification links and at least one subdata according to the data types indicated by the plurality of preset solidification contents.
In the embodiment of the application, a plurality of preset products are determined, after a plurality of preset curing links and a plurality of preset curing contents are determined in the plurality of preset products, subdata matched with each preset curing content is determined in at least one subdata according to the data types indicated by the plurality of preset curing contents, and the preset curing links corresponding to the preset curing contents are associated with the matched subdata, so that the subdata can be directly cured in a certain link of a certain product in the follow-up process, and the classified curing of data can be completed in the application dimension of the product. Specifically, for each preset solidified content in the plurality of preset solidified contents, the process of establishing the association relationship between the preset solidified link and the sub-data is as follows:
the following description will take any one of a plurality of preset solidification contents as an example. Firstly, determining the data type indicated by the preset solidified content, reading the data type of at least one piece of subdata, and determining target subdata with the data type consistent with the data type indicated by the preset solidified content in the at least one piece of subdata. For example, assuming that the data type indicated by a certain preset solidified content is String type, the String type data in at least one sub data is used as the target sub data. And then binding a preset curing link corresponding to the preset curing content with the target subdata, and establishing an association relation between the preset curing link and the target subdata. For example, assuming that a link corresponding to the preset solidified content is a 0301 link, and the target sub-data extracted according to the preset solidified content is String-type data, the 0301 link is bound to the extracted String-type target sub-data, so that an association relationship between the 0301 link and the target sub-data is established. And then, considering that the target subdata is definitely determined according to which preset curing content and the 0301 link is specifically the link in which product, after the establishment of the association relationship is completed, the preset product to which the preset curing link belongs is determined, and the associated preset curing link and the target subdata are marked by adopting the product name of the preset product, the preset curing content and the data type indicated by the preset curing content, so that the generated association relationships are clearer and are easy to integrate and manage. And respectively establishing a relevant incidence relation for a preset curing link corresponding to each preset curing content in the plurality of preset curing contents by repeatedly executing the process of establishing the incidence relation, so as to obtain the incidence relation between the plurality of preset curing links and the at least one subdata.
204. The method comprises the steps of creating a data configuration storage table, adding incidence relations between a plurality of preset curing links and at least one subdata to the data configuration storage table, determining a preset product and a data type corresponding to each preset curing link in the plurality of preset curing links, and adding the preset product and the data type corresponding to each preset curing link to the data configuration storage table.
In order to record the association relationship established in the above process, a data configuration storage table for storing the association relationship between a plurality of preset curing links and at least one piece of sub data may be created. The specific process is as follows: firstly, a data configuration storage table is created, and the incidence relation between a plurality of preset solidification links and at least one subdata is added to the data configuration storage table. And then, determining a preset product and a data type corresponding to each preset curing link in the plurality of preset curing links, and adding the preset product and the data type corresponding to each preset curing link to a data configuration storage table. The generated data configuration storage table may be as shown in table 1 below.
| Data type | Preset product | Presetting a curing link | Sub data |
| String type | Mortgage-free product | 0301 links | Customer name, ID card information |
| Map type | Products of mortgage type | 0208 link | Basic education information |
| … | … | … | … |
TABLE 1
It should be noted that some preset curing links may not cure all the subdata in the corresponding data types, for example, taking the 0301 link in table 1 as an example, it is likely that in the actual application process, the 0301 link only cures the name of the client in String type data, and does not cure the id card information, and in the data configuration storage table, the subdata only fills the name of the client actually cured in the 0301 link, and does not need to fill the id card information, so as to ensure that the content recorded in the data configuration storage table conforms to the actual curing condition.
205. And according to the incidence relation, at least one subdata is solidified to a plurality of preset solidification links of a plurality of preset products.
In the embodiment of the present application, after the establishment of the association relationship is completed, it is also determined which preset curing link of which preset product needs to cure which subdata, so that a curing operation of executing data can be started, and at least one subdata is cured to a plurality of preset curing links of a plurality of preset products according to the association relationship, where a specific curing process is as follows:
for each subdata in the at least one subdata, firstly, a target preset solidification link and a target preset product, wherein the target preset solidification link has an association relation with the subdata, are determined. And then, marking the sub-data based on the link name of the target preset curing link and the product type of the target preset product. And finally, storing the marked subdata into a database. It should be noted that, when storing the marked sub-data, two ways may be adopted, one way is to store the sub-data in the database as a big data field, and the big data field may specifically be in a blob (Character Large Object) form, and the blob form can store larger data, and is not limited by the length of the field, and further, there is no limitation of data solidification caused by the problem of the length of the data. And the data are stored in a CLOB form, and the complete data can be stored together, so that the data analysis in the follow-up process is convenient. For example, assuming that the current sub-data includes the academic record information and the contact information, when the sub-data is stored in the form of the CLOB, the sub-data in the form of the CLOB is disassembled into a form of VARCHAR (a character data), so as to obtain a piece of data related to the academic record information in the form of VARCHAR and another piece of data related to the contact information in the form of VARCHAR, thereby solidifying and storing the two pieces of data in the form of VARCHAR, and realizing the storage of the sub-data in the form of a large data field. The other way is to directly store the marked subdata as a text field in a database, that is, store the marked subdata in the form of text. The present application does not specifically limit which manner is used to store data in the database when the data is solidified. In addition, the database in the present application may be an ORACLE (relational database management system) database, and the characteristics of the ORACLE database are utilized to implement the permanence of data storage.
Further, in order to clarify the position of data solidification and facilitate subsequent data tracing, after the storage of the subdata is completed, the storage position of the marked subdata in the database is determined, the storage position is used as a solidification path of the subdata, a data configuration storage table is obtained, and the solidification path is added to the corresponding position of the subdata in the data configuration storage table. It should be noted that, a column related to the curing path may be added to table 1, and the curing path corresponding to each sub-data is correspondingly stored in the column, so as to implement recording of the curing path.
Through the processes in the steps 201 to 205, the operation of solidifying the application information provided by the user in the application dimension is realized. In the actual application process, the solidified data is used in the subsequent links of the product application process, and the specific process of using the solidified data is as follows:
when detecting that the user is in a designated link in the application flow, acquiring the target product applied by the user, wherein the designated link is a link with data acquisition requirements in the application flow of the target product. In the practical application process, the designated link can be a risk control link, a risk evaluation link and the like. And then, because the application information provided by the user in the application stage is solidified in the corresponding link in the application dimension, determining the appointed preset product to which the target product belongs, and inquiring the appointed preset solidification link corresponding to the appointed preset product. That is, it is queried in which link the target product requested by the user is specifically to solidify the data. And finally, extracting the target subdata in a designated preset solidification link, and processing the target subdata according to the operation indicated by the designated link. The sub-data with the incidence relation is inquired as the target sub-data according to the appointed preset solidification link and the appointed preset product, the target sub-data is further extracted, and the target sub-data is processed according to the operation indicated by the appointed link. For example, assuming that a target product applied by a user is a, a belongs to a non-mortgage product, when it is detected that the user is in a 0305 link in the process of applying for a, and a 0305 link is a risk assessment link, and data solidified in a 0301 link needs to be acquired, target subdata related to the 0301 link of the non-mortgage product is queried, where the target subdata is client name and identity card information, and thus risk assessment can be performed on the client name and identity card information.
According to the method provided by the embodiment of the application, when a user submits application information, the application information is classified and divided into subdata with different data types, a preset curing link of data curing required by each preset product is determined, the data type indicated by preset curing content required to be cured in each preset curing link is determined to be consistent with the data type of the subdata, the subdata with the consistent determined data type is cured in the preset curing link of the preset product, the application information provided by the user is directly classified and cured in the application stage of the user, simultaneous curing of multiple types of data is achieved, data curing operation is not required to be executed when the corresponding link of the product is executed, the data curing process is simplified, evaluation efficiency is improved, and data consistency is guaranteed.
Further, as a specific implementation of the method shown in fig. 1, an embodiment of the present application provides a data curing apparatus, as shown in fig. 3A, the apparatus includes: the system comprises a parsing module 301, a determining module 302, a building module 303 and a curing module 304.
The analysis module 301 is configured to, when application information submitted by a user is received, analyze the application information according to a data type to obtain at least one piece of sub data;
the determining module 302 is configured to obtain a plurality of preset products, and determine a plurality of preset curing links and a plurality of preset curing contents in the plurality of preset products, where the plurality of preset curing contents are contents having curing requirements and indicated by each preset curing link in the plurality of preset curing links;
the establishing module 303 is configured to establish an association relationship between the plurality of preset curing links and the at least one piece of sub data according to the data types indicated by the plurality of preset curing contents;
the curing module 304 is configured to cure the at least one piece of sub-data to the plurality of preset curing links of the plurality of preset products according to the association relationship.
In a specific application scenario, as shown in fig. 3B, the parsing module 301 includes: a splitting unit 3011 and a dividing unit 3012.
The splitting unit 3011 is configured to read a data item included in the application information, split the application information, and obtain multiple member information corresponding to multiple data items;
the dividing unit 3012 is configured to determine a data type of each data item in the data items, and divide the member information corresponding to the data items with the same data type into the same group to obtain the at least one piece of sub data.
In a specific application scenario, as shown in fig. 3C, the establishing module 303 includes: a determination unit 3031, a reading unit 3032, a binding unit 3033 and a marking unit 3034.
The determining unit 3031 is configured to determine, for the plurality of preset solidified contents, a data type indicated by the preset solidified contents;
the reading unit 3032 is configured to read the data type of the at least one piece of sub data, and determine, in the at least one piece of sub data, target sub data having a data type that is consistent with the data type indicated by the preset solidified content;
the binding unit 3033 is configured to bind a preset curing link corresponding to the preset curing content with the target sub-data, and establish an association relationship between the preset curing link and the target sub-data;
the marking unit 3034 is configured to determine a preset product to which the preset curing link belongs, and mark the associated preset curing link and the target subdata by using a product name of the preset product, the preset curing content, and a data type indicated by the preset curing content;
the binding unit 3033 is further configured to establish a relevant association relationship for each preset curing link corresponding to each preset curing content in the plurality of preset curing contents, respectively, so as to obtain an association relationship between the plurality of preset curing links and the at least one piece of sub data.
In a specific application scenario, as shown in fig. 3D, the apparatus includes: a creation module 305 and an addition module 306.
The creating module 305 is configured to create a data configuration storage table, and add the association relationship between the preset curing links and the at least one piece of sub data to the data configuration storage table;
the adding module 306 is configured to determine a preset product and a data type corresponding to each preset curing link in the plurality of preset curing links, and add the preset product and the data type corresponding to each preset curing link to the data configuration storage table.
In a specific application scenario, as shown in fig. 3E, the curing module 304 includes: a first determination unit 3041, a marking unit 3042, and a storage unit 3043.
The first determining unit 3041 is configured to determine, for each sub data in the at least one sub data, a target preset curing link and a target preset product, where the association relationship exists between the sub data and the target preset curing link;
the marking unit 3042 is configured to mark the subdata based on the link name of the target preset curing link and the product type of the target preset product;
the storage unit 3043 is configured to store the marked sub data as a big data field or a text field in a database.
In a specific application scenario, as shown in fig. 3F, the curing module 304 further includes: a second determination unit 3044, and an addition unit 3045.
The second determining unit 3044, configured to determine a storage location of the marked sub-data in the database, and use the storage location as a curing path of the sub-data;
the adding unit 3045 is configured to obtain a data configuration storage table, and add the curing path to a corresponding position of the sub-data in the data configuration storage table, where the data configuration storage table is used to store an association relationship between the plurality of preset curing links and the at least one sub-data.
In a specific application scenario, as shown in fig. 3G, the apparatus further includes: an acquisition module 307, a query module 308 and a processing module 309.
The obtaining module 307 is configured to obtain a target product requested by the user when it is detected that the user is in a specified link in a request flow, where the specified link is a link having a data obtaining requirement in the request flow of the target product;
the query module 308 is configured to determine a specific preset class of product to which the target product belongs, and query a specific preset curing link corresponding to the specific preset class of product;
the processing module 309 is configured to extract target sub-data in the specified preset curing link, and process the target sub-data according to the operation indicated by the specified link.
According to the device provided by the embodiment of the application, when a user submits application information, the application information is classified and divided into subdata with different data types, a preset curing link of data curing required by each preset product is determined, the data type indicated by preset curing content required to be cured in each preset curing link is determined to be consistent with the data type of the subdata, the subdata with the consistent determined data type is cured in the preset curing link of the preset product, the application information provided by the user is directly classified and cured in the application stage of the user, simultaneous curing of multiple types of data is achieved, data curing operation is not required to be executed when the corresponding link of the product is executed, the data curing process is simplified, evaluation efficiency is improved, and data consistency is guaranteed.
It should be noted that, for other corresponding descriptions of the functional units related to the data curing device provided in the embodiment of the present application, reference may be made to corresponding descriptions in fig. 1 and fig. 2, which are not described herein again.
In an exemplary embodiment, referring to fig. 4, there is further provided a device, where the device 400 includes a communication bus, a processor, a memory, and a communication interface, and may further include an input/output interface and a display device, where the functional units may communicate with each other through the bus. The memory stores computer programs, and the processor is used for executing the programs stored in the memory and executing the data curing method in the embodiment.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the data hardening method.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by hardware, and also by software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application.
Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios.
The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.
Claims (10)
1. A method of data curing, comprising:
when application information submitted by a user is received, analyzing the application information according to the data type to obtain at least one subdata;
the method comprises the steps of obtaining a plurality of preset products, and determining a plurality of preset curing links and a plurality of preset curing contents in the preset products, wherein the plurality of preset curing contents are contents which are indicated by each preset curing link in the preset curing links and have curing requirements;
establishing an incidence relation between the plurality of preset solidification links and the at least one subdata according to the data types indicated by the plurality of preset solidification contents;
and according to the incidence relation, curing the at least one subdata to the preset curing links of the preset products.
2. The method of claim 1, wherein the parsing the application information according to data type to obtain at least one sub-data comprises:
reading data items included in the application information, splitting the application information to obtain a plurality of member information corresponding to a plurality of data items;
and respectively determining the data type of each data item in the data items, and dividing member information corresponding to the data items with the same data type into the same group to obtain the at least one subdata.
3. The method of claim 1, wherein the establishing the association relationship between the plurality of predetermined solidification links and the at least one sub-data according to the data types indicated by the plurality of predetermined solidification contents comprises:
for the plurality of preset solidified contents, determining the data type indicated by the preset solidified contents;
reading the data type of the at least one piece of subdata, and determining target subdata of which the data type is consistent with the data type indicated by the preset solidified content in the at least one piece of subdata;
binding a preset curing link corresponding to the preset curing content with the target subdata, and establishing an association relationship between the preset curing link and the target subdata;
determining a preset product to which the preset curing link belongs, and marking the associated preset curing link and the target subdata by adopting the product name of the preset product, the preset curing content and the data type indicated by the preset curing content;
and establishing a relevant incidence relation for a preset curing link corresponding to each preset curing content in the plurality of preset curing contents respectively to obtain the incidence relation between the plurality of preset curing links and the at least one subdata.
4. The method of claim 1, wherein after establishing the association relationship between the plurality of predetermined solidified links and the at least one sub-data according to the data type indicated by the plurality of predetermined solidified contents, the method comprises:
creating a data configuration storage table, and adding the incidence relation between the preset curing links and the at least one subdata to the data configuration storage table;
and determining a preset product and a data type corresponding to each preset curing link in the plurality of preset curing links, and adding the preset product and the data type corresponding to each preset curing link to the data configuration storage table.
5. The method of claim 1, wherein the curing the at least one sub-data to the plurality of predetermined curing links of the plurality of predetermined products comprises:
for each subdata in the at least one subdata, determining a target preset solidification link and a target preset product, wherein the incidence relation exists between the subdata and the target preset solidification link;
marking the subdata based on the link name of the target preset solidification link and the product type of the target preset product;
and storing the marked subdata into a database as a big data field or a text field.
6. The method of claim 5, wherein after storing the marked sub-data as a big data field or a text field in a database, the method further comprises:
determining the storage position of the marked subdata in the database, and taking the storage position as a curing path of the subdata;
and acquiring a data configuration storage table, and adding the curing path to a corresponding position of the subdata in the data configuration storage table, wherein the data configuration storage table is used for storing the association relationship between the preset curing links and the at least one subdata.
7. The method of claim 1, further comprising:
when detecting that the user is in a designated link in an application flow, acquiring a target product applied by the user, wherein the designated link is a link with a data acquisition requirement in the application flow of the target product;
determining a designated preset product to which the target product belongs, and inquiring a designated preset solidification link corresponding to the designated preset product;
and extracting target subdata in the appointed preset solidification link, and processing the target subdata according to the operation indicated by the appointed link.
8. A data curing apparatus, comprising:
the analysis module is used for analyzing the application information according to the data type when the application information submitted by a user is received to obtain at least one subdata;
the system comprises a determining module, a processing module and a processing module, wherein the determining module is used for acquiring a plurality of preset products, and determining a plurality of preset curing links and a plurality of preset curing contents in the plurality of preset products, and the plurality of preset curing contents are contents which are indicated by each preset curing link in the plurality of preset curing links and have curing requirements;
the establishing module is used for establishing an incidence relation between the plurality of preset solidification links and the at least one subdata according to the data types indicated by the plurality of preset solidification contents;
and the curing module is used for curing the at least one subdata to the plurality of preset curing links of the plurality of preset products according to the incidence relation.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Effective date of registration: 20240716 Address after: Room 402, Creative Center, No. 69 Spectral West Road, Huangpu District, Guangzhou City, Guangdong Province 510700 Patentee after: Guangzhou Zhongtian Technology Consulting Co.,Ltd. Country or region after: China Address before: 518000 Room 201, building A, No. 1, Qian Wan Road, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong (Shenzhen Qianhai business secretary Co., Ltd.) Patentee before: PING AN PUHUI ENTERPRISE MANAGEMENT Co.,Ltd. Country or region before: China |