CN109325166B - Method and device for configuring analysis rules in crawler system - Google Patents
Method and device for configuring analysis rules in crawler system Download PDFInfo
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Abstract
The application relates to a method for configuring parsing rules in a crawler system, which comprises the following steps: acquiring page data from a monitoring station; presetting a plurality of analysis algorithms and analyzing the page data one by one; comparing the analysis results of each analysis algorithm, and screening out the analysis algorithm with the correct analysis result; comparing the analysis efficiency of the analysis algorithm with the correct analysis result; and determining a final analysis algorithm according to the analysis efficiency, and configuring the final analysis algorithm to the monitoring station. The method and the device avoid the problems of time consumption, labor consumption and low efficiency of configuration caused by manual configuration of the analysis rule, and improve the analysis accuracy.
Description
Technical Field
The application relates to the technical field of network resource search, in particular to a method and a device for configuring analysis rules in a crawler system.
Background
In the big data era, people can collect and monitor information wanted by themselves in massive sites through a crawler program, but the structure of each site is different, and the key is that how the crawler program analyzes the wanted data in the sites with different structures. For example, a news page is concerned with news content in the page, but there are many tags, buttons, hyperlinks, advertisements, etc. in the page, which requires that a crawler can parse the news content from the content.
In the related art, some analysis rules are configured for the website pages, and the crawler program analyzes the content according to the preset rules, but if the number of the websites increases, the rule configuration becomes time-consuming, labor-consuming and inefficient.
Disclosure of Invention
In order to overcome the problems of time consumption, labor consumption and low efficiency of configuration caused by manual configuration of the analysis rules at least to a certain extent, the application provides an analysis rule configuration method and device in a crawler system.
In a first aspect, the present application provides a method for configuring parsing rules in a crawler system, including:
acquiring page data from a monitoring station;
presetting a plurality of analysis algorithms and analyzing the page data one by one;
comparing the analysis results of each analysis algorithm, and screening out the analysis algorithm with the correct analysis result;
comparing the analysis efficiency of the analysis algorithm with the correct analysis result;
and determining a final analysis algorithm according to the analysis efficiency, and configuring the final analysis algorithm to the monitoring station.
Further, comparing the results analyzed by each analysis algorithm to screen out an analysis algorithm with a correct analysis result, the method includes:
and voting the analysis result to screen out the analysis algorithm corresponding to the analysis result with the best vote number as a correct analysis algorithm.
Further, the method also comprises the following steps: and if the voting result is that the votes of each analysis result are the same, manually analyzing the characteristics of the site in an intervening manner, and perfecting an analysis algorithm.
Further, the comparing the analysis efficiency of the analysis algorithm with the correct analysis result includes:
the number of the calling resources of each analysis algorithm is sequenced, and the analysis efficiency of the analysis algorithm with less calling resources is high;
and under the condition that the number of the calling resources is the same, sequencing the analysis speed of each analysis algorithm, wherein the analysis efficiency of the analysis algorithm with high analysis speed is high.
Further, the determining a final analysis algorithm according to the analysis efficiency and configuring the final analysis algorithm to the monitoring station includes:
selecting an analysis algorithm with high analysis efficiency as a final analysis algorithm;
and configuring the analysis rule corresponding to the final analysis algorithm to the monitoring site.
Further, the parsing rule includes: xpath or canonical template or location coordinate range or the algorithm itself.
In a second aspect, the present application provides a parsing rule configuration device in a crawler system, including:
the acquisition unit is used for acquiring page data from the monitoring station;
the analysis unit is used for presetting a plurality of analysis algorithms and analyzing the page data one by one;
the screening unit is used for comparing the analysis results of each analysis algorithm and screening out the analysis algorithm with the correct analysis result;
the calculation unit is used for comparing the analysis efficiency of the analysis algorithm with the correct analysis result;
and the configuration unit is used for determining a final analysis algorithm according to the analysis efficiency and configuring the final analysis algorithm to the monitoring site.
Further, the screening unit includes:
and the voting module is used for screening the analysis algorithm corresponding to the analysis result with the best vote number as a correct analysis algorithm by voting the analysis result.
Further, the method also comprises the following steps: and the manual unit is used for manually analyzing the characteristics of the website in an intervention manner and perfecting an analysis algorithm when the voting result is that the votes of each analysis result are the same.
Further, the configuration unit includes:
the selection module is used for selecting the analysis algorithm with high analysis efficiency as the final analysis algorithm;
and the configuration module configures the analysis rule corresponding to the final analysis algorithm to the monitoring site.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the application, a plurality of analysis algorithms are preset and page data are analyzed one by one; comparing the analysis results of each analysis algorithm, and screening out the analysis algorithm with the correct analysis result, thereby improving the accuracy of the analysis result; and comparing the analysis efficiency of each analysis algorithm with the correct analysis result, determining a final analysis algorithm according to the analysis efficiency, and configuring the final analysis algorithm to the monitoring station, so that the analysis efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a parsing rule configuration method in a crawler system according to an embodiment of the present application.
Fig. 2 is a block diagram of a parsing rule configuration apparatus in a crawler system according to an embodiment of the present application.
Detailed Description
The invention is described in detail below with reference to the figures and examples.
Fig. 1 is a flowchart of a parsing rule configuration method in a crawler system according to an embodiment of the present application.
As shown in fig. 1, the method of the present embodiment includes:
s11: acquiring page data from a monitoring station;
s12: presetting a plurality of analysis algorithms and analyzing the page data one by one;
s13: comparing the analysis results of each analysis algorithm, and screening out the analysis algorithm with the correct analysis result;
s14: comparing the analysis efficiency of the analysis algorithm with the correct analysis result;
s15: and determining a final analysis algorithm according to the analysis efficiency, and configuring the final analysis algorithm to the monitoring station.
As an optional implementation manner of the present invention, the comparing the results analyzed by each analysis algorithm to screen out an analysis algorithm with a correct analysis result includes:
and voting the analysis result to screen out the analysis algorithm corresponding to the analysis result with the best vote number as a correct analysis algorithm.
By calculating the analysis results corresponding to the plurality of analysis algorithms and voting the analysis results, the analysis accuracy is improved.
As an optional implementation manner of the present invention, the method further includes: and if the voting result is that the votes of each analysis result are the same, manually analyzing the characteristics of the site in an intervening manner, and perfecting an analysis algorithm.
By artificially and continuously improving the analysis algorithm, the problem that the correct analysis method cannot be screened out by the method due to the same voting result is avoided, and the accuracy of the analysis result can be continuously improved.
As an optional implementation manner of the present invention, the comparing the analysis efficiency of the analysis algorithm with the correct analysis result includes:
the number of the calling resources of each analysis algorithm is sequenced, and the analysis efficiency of the analysis algorithm with less calling resources is high;
and under the condition that the number of the calling resources is the same, sequencing the analysis speed of each analysis algorithm, wherein the analysis efficiency of the analysis algorithm with high analysis speed is high.
As an implementation manner that can be selected by the present invention, the determining a final parsing algorithm according to the parsing efficiency, and configuring the final parsing algorithm to the monitoring station includes:
selecting an analysis algorithm with high analysis efficiency as a final analysis algorithm;
and configuring the analysis rule corresponding to the final analysis algorithm to the monitoring site.
By selecting the analysis algorithm with high analysis efficiency as the final analysis algorithm and configuring the final analysis algorithm to the monitoring station, the analysis efficiency is improved, and the problems of time consumption, labor consumption and low efficiency caused by manual configuration of the analysis rules are solved.
As an optional implementation manner of the present invention, the parsing rule includes: xpath, which is an XML path language, is a language used to determine the location of a certain part of an XML (subset of standard universal markup language) document, or a canonical template, or a location coordinate range, or the algorithm itself.
And the monitoring station is flexibly configured by various analysis rules, so that the analysis efficiency is improved.
Take the example of extracting the news content of a news page. Four analytical algorithms are configured:
analysis algorithm 1: the labels in the page source code are sorted according to the statistics of the number of the contained characters, the news content is generally longer, and therefore the label containing the most characters is a content label.
Analysis algorithm 2: and after the page is loaded by combining a memory browser, extracting the page based on the visual position of the news text appearing in one page.
Analysis algorithm 3: and carrying out classification statistics on the label nesting conditions in the page source codes, and analyzing the most likely labels in the text according to the characteristics of the labels and the common scenes.
Analysis algorithm 4: the news release content itself has a certain format. Some special attributes are extracted as judgment basis, such as author, release time, source, and edit.
When the collection site is added, the program can call each analysis algorithm to analyze the page content, and the final analysis result is taken out for comparison and voting. For example, since the number of analysis result votes output by the analysis algorithm 1 is 3, the number of analysis result votes output by the analysis algorithm 2 is 3, and the number of analysis result votes output by the analysis algorithm 3 is 3, it is determined that the analysis results of the analysis algorithm 1, the analysis algorithm 2, and the analysis algorithm 3 are correct, and the number of analysis result votes output by the analysis algorithm 4 is 1, it is determined that the analysis result output by the analysis algorithm 4 is incorrect.
And then the program selects one of the analysis algorithms 1, 2 and 3 with the highest analysis efficiency to generate a final analysis template for the site. The news content of the site will be parsed later with the template. Therefore, the defect that the accuracy of each single set of general analysis algorithm is difficult to improve is avoided to the greatest extent, and the efficiency and the accuracy of the configuration analysis rule are greatly improved on the basis of low efficiency of manual configuration analysis rule.
The analysis efficiency refers to a comprehensive measurement of the speed of an analysis algorithm from taking data to be processed to finally processing an output result and the service resource required to be called for executing the processing, and aims to find a high-cost ratio with high analysis speed and as few service as possible for analyzing the website.
In parsing algorithm 2, the visual analysis of the memory browser is therefore combined. Because the memory browser needs to be called, the speed is slow and the resources are consumed compared with the other three speeds, and the algorithm mainly plays a role in checking whether the results of other algorithms are correct in comparison.
And generating a template after the algorithm is determined, mainly looking at the entry point of the current algorithm, and generating different types of template rules according to the difference of the entry point. For example:
analysis algorithm 1: an xpath or canonical template may be generated.
Analysis algorithm 2: generated according to the vision algorithm may be a page-based range of position coordinates.
Analysis algorithm 3: an xpath rule can be generated based on the characteristics of the tag.
In some embodiments, the algorithm itself may be called directly, in a more complex situation, without the ability to generate explicit rules.
In the embodiment, a plurality of analysis algorithms are preset and the page data are analyzed one by one; comparing the analysis results of each analysis algorithm, and screening out the analysis algorithm with the correct analysis result, thereby improving the accuracy of the analysis result; and comparing the analysis efficiency of each analysis algorithm with the correct analysis result, determining a final analysis algorithm according to the analysis efficiency, and configuring the final analysis algorithm to the monitoring station, so that the analysis efficiency is improved.
Fig. 2 is a block diagram of a parsing rule configuration apparatus in a crawler system according to an embodiment of the present application.
As shown in fig. 2, the apparatus of the present embodiment includes:
the acquiring unit 21 is used for acquiring page data from a monitoring station;
the analysis unit 22 is used for presetting a plurality of analysis algorithms and analyzing the page data one by one;
the screening unit 23 is configured to compare the results analyzed by each analysis algorithm, and screen out an analysis algorithm with a correct analysis result;
a calculating unit 24, configured to compare the analysis efficiency of the analysis algorithm with the correct analysis result;
and the configuration unit 25 is configured to determine a final analysis algorithm according to the analysis efficiency, and configure the final analysis algorithm to the monitoring station.
As an optional implementation manner of the present invention, the screening unit 23 includes:
and the voting module is used for screening the analysis algorithm corresponding to the analysis result with the best vote number as a correct analysis algorithm by voting the analysis result.
The device further comprises: and the manual unit 26 is used for performing manual intervention analysis on the characteristics of the station to complete the analysis algorithm when the voting result is that the votes of each analysis result are the same.
As an optional implementation manner of the present invention, the configuration unit 25 includes:
the selection module is used for selecting the analysis algorithm with high analysis efficiency as the final analysis algorithm;
and the configuration module is used for configuring the analysis rule corresponding to the final analysis algorithm to the monitoring site.
In the embodiment, the results analyzed by each analysis algorithm are compared through the screening unit, the analysis algorithm with the correct analysis result is screened out, and the analysis algorithm with the correct analysis result is screened out, so that the accuracy of the analysis result is improved; and comparing the analysis efficiency of the analysis algorithm with the correct analysis result through the calculation unit, and screening out the analysis algorithm with high analysis efficiency, thereby improving the analysis efficiency.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
It should be noted that the present invention is not limited to the above-mentioned preferred embodiments, and those skilled in the art can obtain other products in various forms without departing from the spirit of the present invention, but any changes in shape or structure can be made within the scope of the present invention with the same or similar technical solutions as those of the present invention.
Claims (9)
1. A method for configuring parsing rules in a crawler system is characterized by comprising the following steps:
acquiring page data from a monitoring station;
presetting a plurality of analysis algorithms and analyzing the page data one by one;
comparing the analysis results of each analysis algorithm, and screening out the analysis algorithm with the correct analysis result;
comparing the analysis efficiency of the analysis algorithm with the correct analysis result, comprising the following steps:
the number of the calling resources of each analysis algorithm is sequenced, and the analysis efficiency of the analysis algorithm with less calling resources is high;
under the condition that the number of the calling resources is the same, sequencing the analysis speed of each analysis algorithm, wherein the analysis efficiency of the analysis algorithm with high analysis speed is high;
and determining a final analysis algorithm according to the analysis efficiency, and configuring the final analysis algorithm to the monitoring station.
2. The method according to claim 1, wherein comparing the analysis results of each analysis algorithm to screen out the analysis algorithm with the correct analysis result comprises:
and voting the analysis result to screen out the analysis algorithm corresponding to the analysis result with the best vote number as a correct analysis algorithm.
3. The method of claim 2, further comprising: and if the voting result is that the votes of each analysis result are the same, manually analyzing the characteristics of the site in an intervening manner, and perfecting an analysis algorithm.
4. The method of claim 1, wherein determining a final parsing algorithm based on the parsing efficiency and configuring the final parsing algorithm to the monitoring site comprises:
selecting an analysis algorithm with high analysis efficiency as a final analysis algorithm;
and configuring the analysis rule corresponding to the final analysis algorithm to the monitoring site.
5. The method of claim 4, wherein parsing the rule comprises: xpath or canonical template or location coordinate range or the algorithm itself.
6. An apparatus for configuring parsing rules in a crawler system, comprising:
the acquisition unit is used for acquiring page data from the monitoring station;
the analysis unit is used for presetting a plurality of analysis algorithms and analyzing the page data one by one;
the screening unit is used for comparing the analysis results of each analysis algorithm and screening out the analysis algorithm with the correct analysis result;
the calculation unit is used for comparing the analysis efficiency of the analysis algorithm with the correct analysis result, and comprises the following steps:
the number of the calling resources of each analysis algorithm is sequenced, and the analysis efficiency of the analysis algorithm with less calling resources is high;
under the condition that the number of the calling resources is the same, sequencing the analysis speed of each analysis algorithm, wherein the analysis efficiency of the analysis algorithm with high analysis speed is high;
and the configuration unit is used for determining a final analysis algorithm according to the analysis efficiency and configuring the final analysis algorithm to the monitoring site.
7. The apparatus of claim 6, wherein the screening unit comprises:
and the voting module is used for screening the analysis algorithm corresponding to the analysis result with the best vote number as a correct analysis algorithm by voting the analysis result.
8. The apparatus of claim 7, further comprising: and the manual unit is used for manually analyzing the characteristics of the website in an intervention manner and perfecting an analysis algorithm when the voting result is that the votes of each analysis result are the same.
9. The apparatus of claim 6, wherein the configuration unit comprises:
the selection module is used for selecting the analysis algorithm with high analysis efficiency as the final analysis algorithm;
and the configuration module is used for configuring the analysis rule corresponding to the final analysis algorithm to the monitoring site.
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| CN106528510A (en) * | 2016-11-18 | 2017-03-22 | 山东浪潮云服务信息科技有限公司 | Method and device for processing data |
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| CN103092859A (en) * | 2011-11-02 | 2013-05-08 | 腾讯科技（深圳）有限公司 | Method and device for acquiring music file information |
| CN107315739A (en) * | 2017-07-12 | 2017-11-03 | 安徽博约信息科技股份有限公司 | A kind of semantic analysis |
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