CN110889272A - Data processing method, device, equipment and storage medium - Google Patents
Data processing method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN110889272A CN110889272A CN201911199776.XA CN201911199776A CN110889272A CN 110889272 A CN110889272 A CN 110889272A CN 201911199776 A CN201911199776 A CN 201911199776A CN 110889272 A CN110889272 A CN 110889272A
- Authority
- CN
- China
- Prior art keywords
- target data
- template
- data
- source table
- data template
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
Abstract
The embodiment of the specification provides a data processing method, a data processing device, data processing equipment and a storage medium. The method comprises the following steps: acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates; acquiring corresponding source table data from a task management system according to the target data template; generating target data from the source table data, and writing the target data into the target data template to generate a target data file; and sending the target data file to a corresponding receiver. The embodiment of the specification can improve the data processing efficiency and save the labor cost.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a data processing method, apparatus, device, and storage medium.
Background
Some business systems (e.g. banking systems) need to complete function acceptance from the perspective of business requirements from project establishment to formal on-line operation. Generally, during the implementation of system reconstruction, the interested parties are concerned with the overall progress of the system reconstruction, and wish to track changes in critical data.
At present, the collection, processing, distribution and other work of key data of system updating and transformation are mainly realized by a manual statistical mode. Obviously, this way of manually collecting, processing and distributing critical data is time and labor consuming and does not guarantee timeliness of feedback.
Disclosure of Invention
An object of the embodiments of the present disclosure is to provide a data processing method, apparatus, device, and storage medium, so as to improve data processing efficiency and save labor cost.
In order to achieve the above object, in one aspect, an embodiment of the present specification provides a data processing method, including:
acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates;
acquiring corresponding source table data from a task management system according to the target data template;
generating target data from the source table data, and writing the target data into the target data template to generate a target data file;
and sending the target data file to a corresponding receiver.
In another aspect, an embodiment of the present specification provides a data processing apparatus, including:
the template acquisition module is used for acquiring a target data template from the target data template set; the data template set comprises a plurality of target data templates;
the data acquisition module is used for acquiring corresponding source table data from the task management system according to the target data template;
the file generation module is used for generating target data from the source table data and writing the target data into the target data template to generate a target data file;
and the file sending module is used for sending the target data file to a corresponding receiver.
In another aspect, the embodiments of the present specification further provide a computer device, including a memory, a processor, and a computer program stored on the memory, where the computer program, when executed by the processor, performs the following steps:
acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates;
acquiring corresponding source table data from a task management system according to the target data template;
generating target data from the source table data, and writing the target data into the target data template to generate a target data file;
and sending the target data file to a corresponding receiver.
In another aspect, the embodiments of the present specification further provide a computer storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the following steps:
acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates;
acquiring corresponding source table data from a task management system according to the target data template;
generating target data from the source table data, and writing the target data into the target data template to generate a target data file;
and sending the target data file to a corresponding receiver.
As can be seen from the technical solutions provided in the embodiments of the present specification, a target data template is obtained from a target data template set including a plurality of target data templates; acquiring corresponding source table data from the task management system according to the target data template; and then generating target data from the source table data, writing the target data into a target data template to automatically generate a target data file, and automatically sending the target data file to a corresponding receiver on the basis, so that the automatic processing of the collection, processing and distribution of the target data (namely key data) is realized, therefore, the embodiment of the specification improves the processing efficiency and timeliness of the collection, processing and distribution of the key data in the process of updating and transforming the business system, and saves the labor cost.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort. In the drawings:
FIG. 1 is a flow diagram of a data processing method in some embodiments of the present description;
FIG. 2 is a block diagram of a data processing apparatus in some embodiments of the present description;
FIG. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of interaction of a data processing device with a task management system and a recipient in some embodiments of the present description.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
At present, in the updating, modifying and implementing process of business systems such as banking systems, the collection, processing, distribution and other tasks of key data are mainly realized by means of manual statistics. Since the key data will change continuously during the modification and implementation of the business system, the collection, processing and distribution of the key data need to be regularly counted so as to facilitate timely follow-up. Moreover, the number of related parties involved in the business system updating and transformation is generally multiple, the key data that each related party desires to track is also generally different, and the key data is generally multidimensional and multi-index data, and a large number of operations may be involved. Therefore, this way of manually collecting, processing and distributing critical data is time and labor consuming and does not guarantee timeliness of feedback.
In view of this, in order to implement automatic processing of collection, processing, and distribution of key data in the process of updating and modifying a service system, an embodiment of the present specification provides a data processing method. Referring to fig. 1, in some embodiments of the present description, a data processing method may include the steps of:
s101, acquiring a target data template from a target data template set; the set of data templates includes a plurality of target data templates.
And S102, acquiring corresponding source table data from a task management system according to the target data template.
S103, generating target data from the source table data, and writing the target data into the target data template to generate a target data file.
And S104, sending the target data file to a corresponding receiver.
As can be seen from this, in the data processing method of the embodiment of the present specification, a target data template may be acquired from a target data template set including a plurality of target data templates; acquiring corresponding source table data from the task management system according to the target data template; and then generating target data from the source table data, writing the target data into a target data template to automatically generate a target data file, and automatically sending the target data file to a corresponding receiver on the basis, so that the automatic processing of the collection, processing and distribution of the target data (namely key data) is realized, therefore, the embodiment of the specification improves the processing efficiency and timeliness of the collection, processing and distribution of the key data in the process of updating and transforming the business system, and saves the labor cost.
In some embodiments of the present specification, each target data template in the target data template set has a unique template identifier, and therefore, when a target data template is obtained from the target data template set, a template can be selected according to the template identifier.
In some embodiments of the present description, the number of target data templates in the set of target data templates may be determined based on the stakeholders involved in the business system transformation. For example, in a research and development department of business system modification, different progress reports need to be sent to different related parties. By granularity, the progress reports may be classified as central, department, team, and project, among others. Since the content presented by each report is different, a corresponding report template (i.e., a target data template) needs to be defined in advance so that the relevant parties can be provided with corresponding progress reports. Accordingly, the key data in the embodiment of the specification can refer to data (such as various progress indexes including development progress, problem solving rate, case execution number, defect finding number and the like) and text content (such as risk description and progress of updating the modification project) which need to be shown in the target data template.
In an exemplary embodiment, the target data template may comprise a plurality of rows and a plurality of columns. Each column may correspond to one target data, and each row may correspond to one batch, for example, as shown in table 1 below:
TABLE 1
In some embodiments of the present description, in order to implement automatic collection of source table data related to key data, the positioning and operation methods of all control elements involved in collecting source table data from a task management system may be packaged in advance based on a programming language (e.g., C # language, etc.). Such as a List control, the designated lot may be selected by a parameterized configuration. In addition, for the data collection process, control elements which may not be located in the DOM structure tree of the HTML page may be saved as a form, and the operation method for the control elements may be packaged in combination with other packaging tools (e.g., an AutoIt tool, etc.). The AutoIt tool is a tool for writing and generating a vbs script program and is used for automatic operation in Windows GUI (user interface). Simulated keystrokes, mouse movements, window/control operations, and the like may be used in combination to accomplish automated tasks. For example, for a drop-down list (for example, drop-down list options include a center-level report, a department-level report, and a team-level report), a packaged drop-down list option selection action may be invoked according to a report type parameter in a configuration file, so as to implement automatic selection of a report type without human intervention.
Correspondingly, the obtaining of the corresponding source table data from the task management system according to the target data template may include the following steps:
1) and switching from the task management system to the corresponding HTML page according to the target data template. For example, taking the "actual progress" in table 1 as an example, the task management system may switch to an HTML page capable of acquiring the basic data of the "actual progress" according to the pre-packaged control operation method.
2) And acquiring and matching the control element corresponding to the DOM attribute value from the HTML page. Usually, an HTML page will include a plurality of control elements (e.g., option buttons, edit boxes, list boxes, check boxes, etc.), but only one or a part of these control elements may be the control element corresponding to the DOM attribute value, and therefore, it is necessary to obtain a DOM structure tree of the HTML page, and match out the control element corresponding to the DOM attribute according to the DOM attribute in the DOM structure tree.
3) And operating the control element to obtain source table data.
In some embodiments of the present description, the source table data is raw data collected directly from the task management system. These raw data typically do not match the target data template and cannot be written directly to the target data template. Thus, there is a need to process source table data into target data that matches the target data template. Wherein, the processing logic of the source table data can be configured in advance, and can be realized by programming (such as VBA programming, etc.), for example.
For example, in an exemplary embodiment, when the data format of the source table data does not match the data format of the target data template, the data format of the source table data needs to be converted into the data format of the target data template.
For example, in an exemplary embodiment, when one content attribute in a target data template is "progress risk level", the content attribute needs to be mapped to a different value according to a difference value between the test progress and the time progress so as to prompt a corresponding policy of the task. And if the difference between the test progress and the time progress is less than minus 20 percent and greater than minus 30 percent, the task risk level is 3, and the maximum is 4. The data such as the number of executed cases, the total number of case designs, the current time, the project starting time and the project implementing period are source table data. And the calculated task risk level is the target data.
For example, in an exemplary embodiment, when the source table data is text content, related algorithms such as word segmentation, word segmentation and character string processing can be performed on the text content. Therefore, keywords and contents meeting the requirements of the target data template can be extracted on the basis.
After the source table data is generated into the target data, the target data can be automatically filled into the corresponding position of the target data template to generate the target data file. For example, taking the target data template shown in table 1 as an example, when the target data corresponding to each development project is filled (for example, as shown in table 2 below), the target data file (or called report) of the batch is formed. In this way, the generation of the target data file corresponding to each target data template can be completed through serial processing or parallel processing.
TABLE 2
| Name of item | Belonging to the batch | Actual progress | Scheduled progress | Progress Risk level |
| Item A | Batch A | 50％ | 70％ | Stage 2 |
| Item B | Batch B | |||
| Item C | C batch | |||
| Item D | D batches | |||
| Item E | E batch | |||
| …… |
In some embodiments of the present description, in order to implement automatic transmission of a target data file, a transmission policy may be predefined. For example, in an embodiment of the present specification, taking an email sending method as an example, an automatic distribution method may be encapsulated by coding through an API provided by an IBM Notes system (or other system with similar functions) in advance. And calling a corresponding automatic distribution method to realize the automatic distribution of the target data file as required. The target data file is sent in an attachment form, and the recipient and other information (such as the mail subject, the mail body and the like) of the mail can be configured in a parameterization mode. For example, in an exemplary embodiment, a type 1 target data file needs to be sent to recipient A, recipient B, and recipient C; the target data file of the type 2 needs to be sent to a receiver A and a receiver D; type 3 target data files need to be sent to recipient a, recipient B, recipient C and recipient D.
In some cases, the target data file needs to be sent periodically based on the requirements of the interested party. For example, a target data file of type 1, needs to be sent to recipient a, recipient B, and recipient C each day; type 2 target data files need to be sent to recipient a and recipient D, etc. weekly. Therefore, the timing task can be configured in advance according to needs to be executed in a timing mode. Accordingly, in some embodiments of the present specification, before the target data template is obtained from the target data template set, it may be further determined whether the current time meets a preset timing execution time; and when the current time meets the preset timing execution time, acquiring a corresponding target data template from the target data template set so as to automatically generate a target data file and automatically send the target data file.
Corresponding to the data processing method, the embodiment of the specification further provides a data processing device. Referring to fig. 2, in some embodiments of the present description, the data processing apparatus may include:
a template obtaining module 21, configured to obtain a target data template from the target data template set; the set of data templates includes a plurality of target data templates.
The data obtaining module 22 may be configured to obtain corresponding source table data from the task management system according to the target data template.
The file generating module 23 may be configured to generate target data from the source table data, and write the target data into the target data template to generate a target data file.
The file sending module 24 may be configured to send the target data file to a corresponding receiving party.
In some embodiments of the present specification, the obtaining, according to the target data template, corresponding source table data from a task management system includes:
switching to a corresponding HTML page from the task management system according to the target data template;
acquiring and positioning a control element corresponding to the DOM attribute from the HTML page;
and operating the control element to acquire source table data.
In some embodiments of the present specification, the sending the target data file to a corresponding recipient includes:
and sending the target data file to a corresponding receiver as an attachment according to a preset mail sending strategy.
In some embodiments of the present description, the data processing apparatus may further include a timing trigger module. The timing trigger module may be configured to determine whether the current time meets a preset timing execution time, and when the current time meets the preset timing execution time, trigger the template obtaining module to obtain the corresponding target data template from the target data template set.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
Corresponding to the data processing method, the embodiment of the specification further provides data processing equipment. As shown in connection with fig. 3 and 4, the data processing device may comprise a memory, a processor, and a computer program stored on the memory, which when executed by the processor performs the steps of:
acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates;
acquiring corresponding source table data from a task management system according to the target data template;
generating target data from the source table data, and writing the target data into the target data template to generate a target data file;
and sending the target data file to a corresponding receiver.
Corresponding to the above data processing method, the present specification further provides a computer storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the following steps:
acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates;
acquiring corresponding source table data from a task management system according to the target data template;
generating target data from the source table data, and writing the target data into the target data template to generate a target data file;
and sending the target data file to a corresponding receiver.
While the process flows described above include operations that occur in a particular order, it should be appreciated that the processes may include more or less operations that are performed sequentially or in parallel (e.g., using parallel processors or a multi-threaded environment).
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (10)
1. A data processing method, comprising:
acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates;
acquiring corresponding source table data from a task management system according to the target data template;
generating target data from the source table data, and writing the target data into the target data template to generate a target data file;
and sending the target data file to a corresponding receiver.
2. The data processing method of claim 1, wherein obtaining corresponding source table data from a task management system according to the target data template comprises:
switching to a corresponding HTML page from the task management system according to the target data template;
acquiring and positioning a control element corresponding to the DOM attribute value from the HTML page;
and operating the control element to obtain source table data.
3. The data processing method of claim 1, wherein the sending the target data file to a corresponding recipient comprises:
and sending the target data file to a corresponding receiver as an attachment according to a preset mail sending strategy.
4. The data processing method of claim 1, wherein prior to said obtaining a target data template from a set of target data templates, further comprising:
judging whether the current time meets a preset timing execution time or not;
correspondingly, the obtaining the target data template from the target data template set includes:
and when the current time meets the preset timing execution time, acquiring a corresponding target data template from the target data template set.
5. A data processing apparatus, comprising:
the template acquisition module is used for acquiring a target data template from the target data template set; the data template set comprises a plurality of target data templates;
the data acquisition module is used for acquiring corresponding source table data from the task management system according to the target data template;
the file generation module is used for generating target data from the source table data and writing the target data into the target data template to generate a target data file;
and the file sending module is used for sending the target data file to a corresponding receiver.
6. The data processing apparatus of claim 5, wherein the obtaining corresponding source table data from a task management system according to the target data template comprises:
switching to a corresponding HTML page from the task management system according to the target data template;
acquiring and positioning a control element corresponding to the DOM attribute value from the HTML page;
and operating the control element to obtain source table data.
7. The data processing apparatus of claim 5, wherein said sending the target data file to a corresponding recipient comprises:
and sending the target data file to a corresponding receiver as an attachment according to a preset mail sending strategy.
8. The data processing apparatus of claim 5, further comprising:
and the timing trigger module is used for judging whether the current time meets the preset timing execution time or not, and triggering the template acquisition module to acquire the corresponding target data template from the target data template set when the current time meets the preset timing execution time.
9. A data processing apparatus comprising a memory, a processor, and a computer program stored on the memory, wherein the computer program when executed by the processor performs the steps of:
acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates;
acquiring corresponding source table data from a task management system according to the target data template;
generating target data from the source table data, and writing the target data into the target data template to generate a target data file;
and sending the target data file to a corresponding receiver.
10. A computer storage medium having a computer program stored thereon, the computer program, when executed by a processor, performing the steps of:
acquiring a target data template from a target data template set; the data template set comprises a plurality of target data templates;
acquiring corresponding source table data from a task management system according to the target data template;
generating target data from the source table data, and writing the target data into the target data template to generate a target data file;
and sending the target data file to a corresponding receiver.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911199776.XA CN110889272A (en) | 2019-11-29 | 2019-11-29 | Data processing method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911199776.XA CN110889272A (en) | 2019-11-29 | 2019-11-29 | Data processing method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110889272A true CN110889272A (en) | 2020-03-17 |
Family
ID=69749471
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911199776.XA Pending CN110889272A (en) | 2019-11-29 | 2019-11-29 | Data processing method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110889272A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111475505A (en) * | 2020-03-27 | 2020-07-31 | 平安科技（深圳）有限公司 | Data acquisition method and equipment |
| CN113779950A (en) * | 2021-09-17 | 2021-12-10 | 国网北京市电力公司 | Report generation method and device, computer readable storage medium and processor |
| CN114255840A (en) * | 2022-02-25 | 2022-03-29 | 广州科犁医学研究有限公司 | Intelligent data processing system based on clinical research data |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104407863A (en) * | 2014-11-21 | 2015-03-11 | 用友软件股份有限公司 | Abstract control model programming device and method |
| CN104965901A (en) * | 2015-06-30 | 2015-10-07 | 北京奇虎科技有限公司 | Method and apparatus for grabbing content of target page |
| CN106886465A (en) * | 2015-12-16 | 2017-06-23 | 阿里巴巴集团控股有限公司 | A kind of data capture method and device |
| CN107562467A (en) * | 2017-07-26 | 2018-01-09 | 阿里巴巴集团控股有限公司 | Page rendering method, apparatus and equipment |
| CN107861929A (en) * | 2017-09-30 | 2018-03-30 | 深圳市买买提乐购金融服务有限公司 | Document structure tree method, terminal and computer-readable medium |
| CN108255975A (en) * | 2017-12-27 | 2018-07-06 | 东软集团股份有限公司 | Template construction method, content of pages grasping means and device, medium and equipment |
| CN109254992A (en) * | 2018-10-12 | 2019-01-22 | 北京京东金融科技控股有限公司 | Project generation method and system, computer system and computer readable storage medium storing program for executing |
| US20190108204A1 (en) * | 2017-10-10 | 2019-04-11 | Adobe Inc. | Maintaining semantic information in document conversion |
| CN109657214A (en) * | 2018-09-27 | 2019-04-19 | 深圳壹账通智能科技有限公司 | Report form generation method, device, terminal and storage medium |
| CN110059305A (en) * | 2019-03-04 | 2019-07-26 | 广州市辉海计算机科技有限公司 | Method and apparatus derived from data |
-
2019
- 2019-11-29 CN CN201911199776.XA patent/CN110889272A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104407863A (en) * | 2014-11-21 | 2015-03-11 | 用友软件股份有限公司 | Abstract control model programming device and method |
| CN104965901A (en) * | 2015-06-30 | 2015-10-07 | 北京奇虎科技有限公司 | Method and apparatus for grabbing content of target page |
| CN106886465A (en) * | 2015-12-16 | 2017-06-23 | 阿里巴巴集团控股有限公司 | A kind of data capture method and device |
| CN107562467A (en) * | 2017-07-26 | 2018-01-09 | 阿里巴巴集团控股有限公司 | Page rendering method, apparatus and equipment |
| CN107861929A (en) * | 2017-09-30 | 2018-03-30 | 深圳市买买提乐购金融服务有限公司 | Document structure tree method, terminal and computer-readable medium |
| US20190108204A1 (en) * | 2017-10-10 | 2019-04-11 | Adobe Inc. | Maintaining semantic information in document conversion |
| CN108255975A (en) * | 2017-12-27 | 2018-07-06 | 东软集团股份有限公司 | Template construction method, content of pages grasping means and device, medium and equipment |
| CN109657214A (en) * | 2018-09-27 | 2019-04-19 | 深圳壹账通智能科技有限公司 | Report form generation method, device, terminal and storage medium |
| CN109254992A (en) * | 2018-10-12 | 2019-01-22 | 北京京东金融科技控股有限公司 | Project generation method and system, computer system and computer readable storage medium storing program for executing |
| CN110059305A (en) * | 2019-03-04 | 2019-07-26 | 广州市辉海计算机科技有限公司 | Method and apparatus derived from data |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111475505A (en) * | 2020-03-27 | 2020-07-31 | 平安科技（深圳）有限公司 | Data acquisition method and equipment |
| CN111475505B (en) * | 2020-03-27 | 2023-05-26 | 平安科技（深圳）有限公司 | Data acquisition method and device |
| CN113779950A (en) * | 2021-09-17 | 2021-12-10 | 国网北京市电力公司 | Report generation method and device, computer readable storage medium and processor |
| CN114255840A (en) * | 2022-02-25 | 2022-03-29 | 广州科犁医学研究有限公司 | Intelligent data processing system based on clinical research data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108874926B (en) | Mass data query method, device, computer equipment and storage medium | |
| CN108984652B (en) | Configurable data cleaning system and method | |
| CN110889272A (en) | Data processing method, device, equipment and storage medium | |
| CN107748752B (en) | Data processing method and device | |
| CN104133772A (en) | Automatic test data generation method | |
| CN106844307B (en) | System and method for converting Excel into Word based on mark | |
| CN110955714B (en) | Method and device for converting unstructured text into structured text | |
| CN106293891B (en) | Multidimensional investment index monitoring method | |
| CN106557307B (en) | Service data processing method and system | |
| CN110807002B (en) | Report generation method, system and equipment based on workflow and storage medium | |
| CN115114146A (en) | Interface test method, device, equipment and storage medium | |
| CN108121579B (en) | Method and device for modifying rule file | |
| CN112749157A (en) | Data table processing method and device, storage medium and equipment | |
| US11921624B2 (en) | Dynamic templated data test generation and execution | |
| CN111143356B (en) | Report retrieval method and device | |
| CN112597105A (en) | Processing method of file associated object, server side equipment and storage medium | |
| CN104899045A (en) | Universal software coding assistance system and method | |
| CN112051987B (en) | Service data processing method, device and equipment, program generating method and device | |
| CN110781170B (en) | Historical data protection method and device based on AOP | |
| CN112506944B (en) | Data standard conversion access method, device, equipment and medium between service systems | |
| CN109905475B (en) | Method for outputting cloud computing monitoring data in specified format based on SQL | |
| US10628437B1 (en) | Systems and methods for traceability and impact analysis across data islands | |
| EP2887281A1 (en) | Displaying MES records on a grid in a MES client screen | |
| CN116069861A (en) | Data processing method, system and electronic equipment | |
| CN116974526A (en) | Data development method, device, terminal equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |