CN117033447A - Service function label catalog construction method, medium and system based on application catalog - Google Patents
Service function label catalog construction method, medium and system based on application catalog Download PDFInfo
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention relates to the technical field of data management, in particular to a business function label catalog construction method based on an application catalog, a computer-readable storage medium and a business function label catalog construction system. According to the business function label catalog construction method based on the application catalog, after the application catalog information is read from the called application file, the application catalog information is analyzed into dimension information and index information in an element positioning mode, the table metadata and the table contents of the source database are read from the table database, then the dimension information of the application catalog information and the table metadata of the source database as well as the index information of the corresponding application catalog information and the table contents of the source database are matched through a pre-trained application catalog training model, and construction of the data catalog can be completed quickly and with low labor cost.
Description
Technical Field
The invention relates to the technical field of data management, in particular to a business function label catalog construction method based on an application catalog, a computer-readable storage medium and a business function label catalog construction system.
Background
A data directory is a systematic list of data, which is a categorized representation of a data set. The data directory is used as an active data dictionary, can help users to quickly find data sources meeting own demands, and help users to understand and utilize the data sources to carry out mining analysis of data services, and also help enterprise users to establish service insights, discover service trends and establish access points of new services on the basis of the existing data sources, so that more values of enterprise data are exerted. However, how to quickly construct a data directory so that it can provide business analysis is a current technical difficulty.
The main mode of constructing the data catalogue at present is to rely on manual carding, and the data catalogue is carded in a manual operation mode, so that the mode consumes labor, relies on familiarity of carding personnel to a system, and requires the carding personnel to have business knowledge of the data catalogue. For example, fifty of the application directories of a certain production system depend on business knowledge of personnel to carry out manual carding, the relation needs to be established one by one, tables, table descriptions and the like with association relations are recorded on the manually carded data directories, the workload is increased along with the increase of the application systems to be carded, and the improvement of the existing working method and the working efficiency by adopting a computer technology are expected. Therefore, a more efficient way of constructing a data directory is needed in combination with existing related technologies and resource support.
Manually combing the application catalog and establishing a data catalog of business relationship, which is reliable and beneficial to familiarizing related business of the application catalog, but has the following disadvantages:
accuracy problem of data: 1. the data relationship is acquired by combing and integrating a plurality of data dictionaries, so that confusion is easy, and the accuracy of the data is at risk; 2. relying on business knowledge: the application catalog carding work needs to be established that personnel have enough business knowledge, otherwise, the business is difficult to comb without understanding; 3. the workload is larger: the relation construction of the data catalogs and the data tables is manually carried out one by one in a manual carding mode, so that the workload is high; 4. the working efficiency is not high: the application catalogue is manually carded, then the relation is searched from a plurality of dictionaries, and then the relation is established, so that the working steps are more, and the efficiency is low; 5. the personnel cost is larger: with the increase of application system carding work, the manpower is required to be increased, and the personnel cost is increased.
Disclosure of Invention
The invention aims to provide a business function label catalog construction method based on an application catalog and a computer readable storage medium storing a computer program for realizing the method when being executed.
In order to solve the technical problems, in a first aspect, the present invention provides a service function label catalog construction method based on an application catalog, including the following steps:
s1, calling an application file and reading application catalog information;
s2, analyzing the application catalog information into dimension information and index information in an element positioning mode;
s3, calling a source database, and reading table metadata and table contents;
step S4, dimension information of the application catalog information and table metadata of the source database are matched, and index information of the corresponding application catalog information and table contents of the source database are matched;
and step S5, establishing the association relation between the matched application catalog and the source database according to the successful matching result of the step S4.
Further, the method includes a verification step executed after the step S5, and the matching degree of the dimension information and the table metadata and the index information and the table content in the step S4 is obtained: if the two matches reach the preset program, outputting a matching result; and if the two matches do not reach the preset degree, sending out a manual verification prompt.
Further, the two matches not reaching the preset degree means that: there is a degree of match below a first threshold, or both matches are above the first threshold and below a second threshold, the second threshold being above the first threshold.
Further, in the step S1, the reading of the application catalog information is implemented by executing a preset web crawler program to extract the application catalog.
Further, the extracting the application catalog comprises the following steps:
constructing a python environment, and calling a class library selenium, playwright;
acquiring application connection information, and accessing an application system by using a third party class library selenium;
calling a preset automatic simulated click event, capturing an application catalog of an application system by using a third party class library playwrite, and storing the application catalog as a temporary storage application catalog in a mode of one application page and one file;
acquiring a temporary storage application catalog, and analyzing the acquired temporary storage application catalog by using an element positioning driver.find_element mode to acquire application page content;
and identifying the acquired application page content, calling an application dimension library and an index library to match, outputting dimension information and index information obtained by matching each page, and establishing an association relation between the dimension information and the index information and the application page.
Further, the method comprises a step of identifying a cross page table, which is executed in the process of storing the temporary storage application catalog: if the page update is identified, acquiring the application page content of the previous application catalog which is already captured and the next application catalog which is to be captured, respectively carrying out table format identification, and if the matched table format is identified in the previous application catalog and the next application catalog, storing the previous application catalog and the next application catalog as temporary storage application catalogs in a file mode.
Further, the page update includes a skip-page update and a current page cache update.
Further, the application connection information includes one or more of an application access address, an account number, and a password.
Further, the identification of the acquired application page content refers to content word segmentation through a preset word frequency-reverse file frequency TF-IDF algorithm.
Further, in the step S4, matching the application catalog information with the source database is implemented by a pre-trained machine learning algorithm.
In a second aspect, there is also provided a computer readable storage medium storing a computer program, which when executed by a processor, is capable of implementing the above-mentioned business function label catalog construction method based on an application catalog.
In a third aspect, a service function label catalog construction system based on an application catalog is provided, which includes an application server, an application program executing end and a data table repository, where the application server, the application program executing end and the data table repository are respectively connected with the processor, and the service function label catalog construction system further includes the above computer readable storage medium, where a computer program on the computer readable storage medium can be executed by the processor.
According to the business function label catalog construction method based on the application catalog, after application catalog information is read from a called application file, the application catalog information is analyzed into dimension information and index information in an element positioning mode, table metadata and table contents of a source database are read from the source database, then a pre-trained application catalog training model is used for matching the dimension information of the application catalog information with the table metadata of the source database and the index information of the corresponding application catalog information with the table contents of the source database, a data catalog extraction program is continuously iterated and optimized, so that the application catalog is continuously and accurately output, an intelligent matching technology is used, the output application catalog and the existing association relation are utilized, and the construction of the data catalog can be quickly completed with low labor cost by adopting the business function label catalog construction method, so that the requirements of users for quickly searching data and understanding the use data are met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the description of the embodiments will be briefly described below.
Fig. 1 is a flow chart of steps of the business function label catalog construction method based on the application catalog.
Fig. 2 is a schematic architecture diagram of the service function label catalog construction method based on the application catalog.
Detailed Description
The invention is further described in detail below in connection with the detailed description.
The business function label catalog construction system based on the application catalog of the embodiment comprises a processor, an application server, an application program execution end and a data table storage library, wherein the application server, the application program execution end and the data table storage library are respectively connected with the processor. Referring to fig. 1, a specific service function label catalog construction method based on an application catalog is implemented by the following steps.
S1, calling an application file and reading application catalog information.
The method for reading the application catalog information is realized by executing a preset web crawler program to extract the application catalog, and the method for extracting the application catalog comprises the following steps:
constructing a python environment, and calling a class library selenium, playwright;
acquiring application connection information, wherein the application connection information comprises an application access address, an account number and a password, and accessing an application system by using a third party class library selenium;
calling a preset automatic simulated click event, capturing an application catalog of an application system by using a third party class library playwrite, and temporarily storing the application catalog in a mode of one application page and one file;
the method comprises the steps of identifying the cross page table, which is executed in the process of storing the temporary storage application catalog: if page updating is identified, such as skip updating and current page cache updating, acquiring application page contents of a previous application catalog which is already captured and a next application catalog which is to be captured, respectively carrying out table format identification, and if the page updating is identified that the previous application catalog and the next application catalog have matched table formats, storing the previous application catalog and the next application catalog as temporary application catalogs in a file mode; the page crossing identification step is adopted to enable the page crossing divided tables to be stored in one file, if the application page content of the next application catalog only has data but has no table metadata and table content, the analysis of the temporary storage application catalog of the last application catalog can be prolonged, and element positioning is realized;
the method comprises the steps of obtaining a temporary storage catalog, analyzing an application catalog by using an element positioning driver.find_element mode, and obtaining application page content;
and identifying the acquired application page content, calling an application dimension library and an index library to match, outputting dimension information and index information obtained by matching each page, and establishing an association relation between the dimension information and the index information and the application page.
The identification of the acquired application page content refers to content word segmentation through a preset word frequency-reverse file frequency TF-IDF algorithm. Specifically, an open function is used for opening an application catalog result relation file, a readline method is called for reading each row, and the relation between the application catalog and the dimension and index is obtained.
And S2, analyzing the application catalog information into dimension information and index information in an element positioning mode.
And S3, calling a source database, and reading the table metadata and the table contents. Specifically, the application database is connected using the class library pymysql to obtain an application metadata table.
And S4, matching the dimension information of the application catalog information with the table metadata of the source database, and matching the index information of the corresponding application catalog information with the table contents of the source database. The matching of the application catalog information with the table metadata and the table contents of the source database is realized through a pre-trained machine learning algorithm, an intelligent matching mode is adopted, and the whole logic is the matching of the application catalog and the table relation through cyclic word segmentation, similarity analysis and traversal for many times and multiple conditions.
In the intelligent matching process, word segmentation processing is carried out by relying on a word frequency-reverse file frequency TF-IDF algorithm in the last step, after the word frequency matrix is completely converted into a matrix containing TF-IDF values, the processing matching can be started, the matrix is converted into a matrix as wide as the word frequency matrix, multiplication calculation is carried out on the matrix one by one, the value of each row is calculated, and the maximum value is the value with the highest matching degree.
And step S5, establishing the association relation between the matched application catalog and the source database according to the successful matching result of the step S4, and outputting a relation record.
According to the business function label catalog construction method based on the application catalog, after application catalog information is read from a called application file, the application catalog information is analyzed into dimension information and index information in an element positioning mode, the table metadata and the table content of a source database are read from a table database, then a pre-trained application catalog training model is used for matching the dimension information of the application catalog information with the table metadata of the source database and the index information of the corresponding application catalog information with the table content of the source database, a data catalog extraction program is continuously iterated and optimized, so that the application catalog is continuously and accurately output, and meanwhile, an intelligent matching technology is used, the output application catalog and the existing association relation are utilized, and the construction of the data catalog can be quickly completed with low labor cost by adopting the business function label catalog construction method.
Further, the method comprises a verification step executed after the step S5, wherein the matching degree of the dimension information, the table metadata, the index information and the table content in the step S4 is obtained, and if the two matching degrees reach a preset program, a matching result is output; if the two matches do not reach the preset degree, if the matching degree is lower than a first threshold, or the matching degree of the two matches is higher than the first threshold and lower than a second threshold, and the second threshold is higher than the first threshold, a manual verification prompt is sent out.
The manual intervention correction is mainly used for correcting the automatic matching result, and inaccurate and inexact matching situations can always occur due to factors such as inaccurate data factors, ambiguous business relations and the like, so that the manual intervention is required to be corrected.
The manual intervention comprises the following specific steps: entering a matching result page, and referring to whether the matching result is correct or not, wherein manual adjustment can be performed, such as modifying the matched table name; carrying out piece-by-piece confirmation or batch confirmation; after the completion of the reference, the matching result can be selectively derived.
The business function label catalog construction method based on the application catalog realizes the following steps: the semi-automatic program carries out quick carding on the application catalogue, so that the working efficiency is improved; the accuracy of combing the application catalog relation data is improved, and the matching model can be continuously iterated and optimized to realize the optimal matching of the data; with the increase of carding application systems, the defect of relying on manpower is overcome, programs can be opened, and the rapid carding of synchronous application catalogs is realized; the user's need to quickly retrieve data and understand usage data is satisfied.
The embodiment realizes the service function label catalog construction method based on the application catalog through a computer program, and the computer program is stored in a computer readable storage medium and is executed by a computer processor so as to realize the service function label catalog construction method based on the application catalog. The business function label catalog building system embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed across multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Finally, it should be noted that: the embodiment of the invention discloses a business function label catalog construction method based on an application catalog, which is disclosed by the embodiment of the invention only for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The business function label catalog construction method based on the application catalog is characterized by comprising the following steps:
s1, calling an application file and reading application catalog information;
s2, analyzing the application catalog information into dimension information and index information in an element positioning mode;
s3, calling a source database, and reading table metadata and table contents;
step S4, dimension information of the application catalog information and table metadata of the source database are matched, and index information of the corresponding application catalog information and table contents of the source database are matched;
and step S5, establishing the association relation between the matched application catalog and the source database according to the successful matching result of the step S4.
2. The business function label catalog construction method based on application catalog as claimed in claim 1, comprising a checking step executed after step S5, obtaining the matching degree of the dimension information and the table metadata and the index information and the table content respectively in step S4: if the two matches reach the preset program, outputting a matching result; and if the two matches do not reach the preset degree, sending out a manual verification prompt.
3. The method for constructing a service function label catalog based on an application catalog according to claim 2, wherein the two matches not reaching a preset degree means: there is a degree of match below a first threshold, or both matches are above the first threshold and below a second threshold, the second threshold being above the first threshold.
4. The method for constructing a service function label catalog based on an application catalog according to claim 1, wherein in the step S1, the reading of the application catalog information is implemented by extracting the application catalog by executing a preset web crawler program.
5. The method for constructing a service function label catalog based on an application catalog according to claim 4, wherein the extracting the application catalog comprises the steps of:
constructing a python environment, and calling a class library selenium, playwright;
acquiring application connection information, and accessing an application system by using a third party class library selenium;
calling a preset automatic simulated click event, capturing an application catalog of an application system by using a third party class library playwrite, and storing the application catalog as a temporary storage application catalog in a mode of one application page and one file;
acquiring a temporary storage application catalog, and analyzing the acquired temporary storage application catalog by using an element positioning driver.find_element mode to acquire application page content;
and identifying the acquired application page content, calling an application dimension library and an index library to match, outputting dimension information and index information obtained by matching each page, and establishing an association relation between the dimension information and the index information and the application page.
6. The business function label catalog construction method based on application catalog of claim 5, comprising the step of identifying cross page tables performed in the process of storing the temporary application catalog: if the page update is identified, acquiring the application page content of the previous application catalog which is already captured and the next application catalog which is to be captured, respectively carrying out table format identification, and if the matched table format is identified in the previous application catalog and the next application catalog, storing the previous application catalog and the next application catalog as temporary storage application catalogs in a file mode.
7. The method for constructing a service function label catalog based on an application catalog according to claim 5, wherein the identifying the acquired application page content means content word segmentation by a preset word frequency-reverse file frequency TF-IDF algorithm.
8. The method for creating the service function label catalog based on the application catalog according to claim 1, wherein in the step S4, the matching between the application catalog information and the source database is achieved by means of a pre-trained machine learning algorithm.
9. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, is capable of implementing the service function label catalog construction method based on an application catalog according to any one of claims 1 to 8.
10. The business function label catalog construction system is characterized by comprising an application server, an application program execution end and a data table storage library, wherein the application server, the application program execution end and the data table storage library are respectively connected with a processor, and the business function label catalog construction system further comprises a computer readable storage medium according to claim 9, wherein the computer program on the computer readable storage medium can be executed by the processor.
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Patent Citations (3)
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| CN106126662A (en) * | 2016-06-24 | 2016-11-16 | 维沃移动通信有限公司 | A kind of electronic book displaying method and mobile terminal |
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