CN111581071B - Data processing method, device, equipment and storage medium - Google Patents

Data processing method, device, equipment and storage medium Download PDF

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Publication number
CN111581071B
CN111581071B CN202010388041.8A CN202010388041A CN111581071B CN 111581071 B CN111581071 B CN 111581071B CN 202010388041 A CN202010388041 A CN 202010388041A CN 111581071 B CN111581071 B CN 111581071B
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request
data analysis
station building
data
operation request
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CN111581071A (en
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李配配
尹畅文
黄斐乔
高春旭
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3438Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The embodiment of the application discloses a data processing method, a device, equipment and a storage medium, which relate to the field of data processing, in particular to cloud computing technology. The specific implementation scheme is as follows: the method comprises the steps that a station building end obtains a first operation request of a user; the station building end determines a second operation request of a user to the data analysis end according to the first operation request; the station building end responds to the first operation request, and sends the second operation request to the data analysis end, and the data analysis end responds to the second operation request. The embodiment of the application provides a data processing method, a device, equipment and a storage medium, which solve the problem of complicated user operation.

Description

Data processing method, device, equipment and storage medium
Technical Field
The embodiment of the application relates to the field of data processing, in particular to cloud computing technology. Specifically, the embodiment of the application provides a data processing method, a device, equipment and a storage medium.
Background
The data analysis platform is an acquisition scheme adapted to multi-user terminals such as websites, application programs (APP), applets and the like so as to meet the demands of enterprises on global user data, provide data support for the fine operation decisions of the enterprises, and further effectively improve the return on investment of the enterprises.
The third party website building platform is a platform for helping clients quickly create own websites, APP or applets.
If a customer wants to collect and analyze data from a created website, APP or applet, then a specialized data analysis platform needs to be accessed. The existing method for accessing the data analysis platform requires a user to operate the third-party station building platform and the data analysis platform respectively, so that the problem of complicated user operation is caused.
Disclosure of Invention
The embodiment of the application provides a data processing method, a device, equipment and a storage medium.
In a first aspect, an embodiment of the present application provides a data processing method, including:
the method comprises the steps that a station building end obtains a first operation request of a user;
the station building end determines a second operation request of a user to the data analysis end according to the first operation request;
the station building end responds to the first operation request, and sends the second operation request to the data analysis end, and the data analysis end responds to the second operation request.
In a second aspect, embodiments of the present application further provide a data processing apparatus, including:
the request acquisition module is used for acquiring a first operation request of a user at the station building end;
the request determining module is used for determining a second operation request of the user to the data analysis end according to the first operation request by the station building end;
the request sending module is used for responding to the first operation request by the station building end, sending the second operation request to the data analysis end, and responding to the second operation request by the data analysis end.
In a third aspect, embodiments of the present application further provide an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the embodiments of the present application.
In a fourth aspect, embodiments of the present application also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method of any one of the embodiments of the present application.
The technical scheme of the embodiment of the application solves the problem of complicated user operation.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for better understanding of the present solution and do not constitute a limitation of the present application. Wherein:
FIG. 1 is a flow chart of a data processing method provided by an implementation of the present application;
FIG. 2 is a flow chart of another method of data processing provided by an embodiment of the present application;
FIG. 3 is a flow chart of yet another data processing method provided by an embodiment of the present application;
FIG. 4 is a flow chart of yet another data processing method provided by an embodiment of the present application;
FIG. 5 is a flow chart of yet another data processing method provided by an embodiment of the present application;
FIG. 6 is a flow chart of yet another data processing method provided by an embodiment of the present application;
FIG. 7 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 8 is a block diagram of an electronic device of a data processing method according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present application. The embodiment can be applied to the situation that the data analysis end is utilized to monitor the data of the client established by the station establishment end, wherein the client comprises at least one of a website, an APP and an applet. The method may be performed by a data processing apparatus, which may be implemented in software and/or hardware. Referring to fig. 1, the data processing method provided in the embodiment of the present application includes:
s110, the station building end acquires a first operation request of a user.
The station building end refers to a logic executing end for building a client.
Specifically, the site building end can be an execution end of a third party site building platform.
The first operation request refers to an operation request of triggering the station building end by a user. The operation request may be a request for any executable operation.
Specifically, the first operation request may be a registration request, a login request, a station establishment request, a data query request, etc. for the station establishment terminal.
S120, the station building end determines a second operation request of the user to the data analysis end according to the first operation request.
The data analysis end refers to a logic execution end for performing data monitoring on the client.
Specifically, the data analysis end may be an execution end of the data analysis platform.
The second operation request refers to a request that the data analysis end needs to cooperatively realize operation when the station establishment end responds to the first operation request.
Specifically, if the first operation request is a registration request for the station building end, determining that the second operation request is a registration request for the data analysis end;
if the first operation request is a login request for the station building end, determining that the second operation request is a login request for the data analysis end;
if the first operation request is a request for building a station, determining that the second operation request is a request for monitoring logic generation.
S130, the station building end responds to the first operation request, the second operation request is sent to the data analysis end, and the data analysis end responds to the second operation request.
According to the technical scheme, a second operation request of a user to the data analysis end is determined through the station building end according to the first operation request; and the second operation request is sent to the data analysis end when the station establishment end responds to the first operation request, so that the automatic triggering of the second operation request of the data analysis end is realized, the trouble of manual operation of a user is avoided, and the problem of complex operation of the user is further solved.
Fig. 2 is a flowchart of another data processing method according to an embodiment of the present application. The method is based on the method, taking the registration of the station building end and the data analysis end as an example, and specifically optimizing the S120. Referring to fig. 2, specific S120 includes:
s121, if the first operation request is a first registration request of the user for the station building end, determining that the second operation request is a second registration request of the user for the data analysis end according to the first registration request.
Wherein the first registration request refers to a registration request of a user for establishing a station.
The second registration request refers to a registration request of the user to the data analysis end.
Specifically, the determining, according to the first registration request, that the second operation request is a second registration request of the user to the data analysis end includes:
analyzing the first registration request to obtain user information;
and generating the second registration request according to the user information.
Wherein the user information is information describing the user.
Specifically, the user information may be unique identification information of the user.
The user information may be, for example, an identification card number of the user.
Specifically, the station building end responds to the first operation request, and sends the second operation request to the data analysis end, and the data analysis end responds to the second operation request, including:
the station building end responds to the first registration request, and sends a second registration request to the data analysis end, and the data analysis end responds to the second registration request to realize the registration of the user.
According to the technical scheme, the second registration request of the user to the data analysis end is determined according to the first registration request of the user to the station establishment end, so that the automatic triggering of the registration request of the data analysis end is realized.
Fig. 3 is a flowchart of yet another data processing method according to an embodiment of the present application. The method is based on the method, taking the login of the station building end and the data analysis end as an example, and specifically optimizing the S120. Referring to fig. 3, specific S120 includes:
s122, if the first operation request is a first login request of the user to the station building end, determining that the second operation request is a second login request of the user to the data analysis end.
The first login request refers to a login request of a user to a station building end.
The second login request refers to a login request of a user to the data analysis end.
Specifically, the station building end responds to the first operation request, and sends the second operation request to the data analysis end, and the data analysis end responds to the second operation request, including:
the station building end logs in the station building end according to a first account;
the station building end acquires a second account according to the first account, wherein the first account and the second account are stored in the station building end in a pre-associated mode;
the station building end sends the second account number and the second login request to the data analysis end, the data analysis end responds to the second login request, and the data analysis end logs in according to the second account number.
The first account number refers to an account number for logging in the site building end, and can be obtained through registering the site building end.
The second account is an account logged in the data analysis end, and can be obtained by registering the data analysis end.
According to the technical scheme, the second login request of the user to the data analysis end is determined according to the first login request of the user to the station building end, so that the automatic triggering of the login request of the data analysis end is realized.
Fig. 4 is a flowchart of yet another data processing method according to an embodiment of the present application. The method is based on the method, and takes establishment of the client and data monitoring of the client as an example, and the specific optimization of the step S120 is performed. Referring to fig. 4, specific S120 includes:
s123, if the first operation request is a station building request, determining that the second operation request is a monitoring logic generation request.
The request for establishing a station refers to a request for establishing a client.
The monitoring logic generation request refers to a request to generate client data monitoring logic.
Specifically, parameters in the monitoring logic may be preset.
Specifically, the station building end responds to the first operation request, and sends the second operation request to the data analysis end, and the data analysis end responds to the second operation request, including:
responding to the station building request, building a client by the station building end, sending the monitoring logic generation request to the data analysis end, and responding to the monitoring logic generation request by the data analysis end to generate monitoring logic;
and the station building end inserts the generated monitoring logic into the operation logic of the client.
Specifically, the insertion position of the monitoring logic may be preset.
According to the technical scheme, the monitoring logic generation request of the data analysis end is determined according to the station building request of the user on the station building end, so that automatic triggering of the monitoring logic generation of the data analysis end is realized.
Fig. 5 is a flowchart of yet another data processing method according to an embodiment of the present application. The method is based on the method, taking the monitoring data query of the established client as an example, and specifically optimizing the step S120. Referring to fig. 5, specific S120 includes:
s124, if the first operation request is a target data query request, determining that the second operation request is a target data acquisition request.
Wherein the target data query request is a data query request to target monitoring logic of a target client, and the target data acquisition request is a data acquisition request to the target monitoring logic of the target client.
Specifically, the station building end responds to the first operation request, and sends the second operation request to the data analysis end, and the data analysis end responds to the second operation request, including:
responding to the data query request, the station building end sends the monitoring data acquisition request to the data analysis end, and the data analysis end searches target monitoring data;
and the station building end receives the target monitoring data searched by the data analysis end and feeds the target monitoring data back to the user.
The target monitoring data refers to data which the user wants to acquire through data query.
In particular, the feedback form may be sent to the user or displayed to the user.
According to the technical scheme, the target data acquisition request of the data analysis end is determined according to the target data query request of the station building end, so that automatic triggering of target monitoring data search of the data analysis end is achieved.
In order to improve the security of the data, after the station building end sends the monitoring data acquisition request to the data analysis end, the method further comprises:
the station building end receives a first account number fed back by the data analysis end and the identification of the target monitoring logic, wherein the identification of the first account number and the identification of the target monitoring logic are obtained by the data analysis end from the monitoring data acquisition request in an analysis mode;
the station building end verifies the received identifications of the first account number and the target monitoring logic according to a pre-stored mapping relation between the first account number and the target monitoring logic;
and the station building end sends a verification result to the data analysis end so as to trigger the data analysis end to execute a searching step on the target monitoring data.
Specifically, the verifying, by the station building end, the received identification of the first account number and the target monitoring logic according to a pre-stored mapping relationship between the first account number and the target monitoring logic, includes:
determining whether a mapping relation exists between the first account and the identification of the target monitoring logic according to a pre-stored mapping relation between the first account and the target monitoring logic;
if so, determining that the verification is successful, otherwise, determining that the verification is failed.
Based on the technical characteristics, the embodiment of the application verifies the received identifications of the first account and the target monitoring logic according to the pre-stored mapping relation between the first account and the target monitoring logic, so that the acquisition of monitoring data of other user clients by a user is avoided, and the safety of the data is improved.
In order to reduce the trouble of the station building end to analyze and display report data, the station building end receives the target monitoring data searched by the data analysis end and feeds the target monitoring data back to a user, and the method comprises the following steps:
the station building end receives an interface screenshot comprising target monitoring data sent by the data analysis end;
inserting the screenshot into a data report template to generate a query data report;
and feeding back the generated query data report to the user.
Based on the technical characteristics, the embodiment of the application receives the interface screenshot comprising the target monitoring data sent by the data analysis end; and inserting the screenshot into a data report template to generate a query data report, thereby avoiding the trouble of analyzing the target monitoring data by the station building end and generating a report according to analysis content and improving the feedback efficiency of the station building end on the target monitoring data.
Fig. 6 is a flowchart of yet another data processing method according to an embodiment of the present application. The method is an alternative scheme provided by taking the station building end as an execution end of a third party station building platform, taking the data analysis end as an execution end of the data analysis platform and taking a client as an example of a website on the basis of the method. Referring to fig. 6, the data processing method provided in the present embodiment includes:
responding to a registration/login request of a user to a site building end, completing registration or login of the user to the site building end, simultaneously sending the registration/login request of the data analysis end to the data analysis end, and realizing the registration or login of the user by the data analysis end, wherein the registered data analysis end account number and the registered account of the site building end are stored in a correlated manner;
responding to a station building request of a user, sending monitoring information of a website to be built to a data analysis end, and generating monitoring logic by the data analysis end according to the monitoring information;
inserting the generated monitoring logic into website logic of the website to be built, and establishing a mapping relation between the website to be built and a unique identifier (key) of the monitoring logic;
responding to a data viewing request of a user, and determining a unique identification (marked as a target key) of a target monitoring code according to a target query website input by the user;
transmitting the target key, the data analysis end account of the user and the station building end account of the user to a data analysis end, authenticating the data analysis end account of the user by the data analysis end, and returning the received target key and the station building end account;
verifying the returned target key and the site-building account according to a pre-stored mapping relation between the site-building account and the target key;
if the verification is successful, sending a verification success message to a data analysis end, acquiring target monitoring data according to a target key by the data analysis end, and displaying the acquired target monitoring data;
and acquiring a display image of the target monitoring data at the data analysis end, inserting the display image into a report template, and generating a data query report for a user to check.
According to the technical scheme, the third party station building platform and the account system of the data analysis platform are opened, the code embedding of data monitoring is realized while the station is built, one-stop station building and monitoring are provided, and user operation is reduced.
The display image of the target monitoring data at the data analysis end is obtained, the display image is inserted into the report template, and a data report is generated, so that the trouble that the station building end realizes analysis and display of report data is avoided.
Fig. 7 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. Referring to fig. 7, a data processing apparatus 700 provided in an embodiment of the present application includes: a request acquisition module 701, a request determination module 702, and a request transmission module 703.
The request acquisition module 701 is configured to acquire a first operation request of a user at a site building end;
the request determining module 702 is configured to determine, by the station building end, a second operation request of the user for the data analysis end according to the first operation request;
the request sending module 703 is configured to respond to the first operation request by the station building end, send the second operation request to the data analysis end, and respond to the second operation request by the data analysis end.
According to the technical scheme, a second operation request of a user to the data analysis end is determined through the station building end according to the first operation request; and the second operation request is sent to the data analysis end when the station establishment end responds to the first operation request, so that the automatic triggering of the second operation request of the data analysis end is realized, the trouble of manual operation of a user is avoided, and the problem of complex operation of the user is further solved.
Further, the request determining module includes:
and the request determining unit is used for determining that the second operation request is a second registration request of the user to the data analysis end according to the first registration request if the first operation request is the first registration request of the user to the station building end.
Further, the request determining unit includes:
the information analysis subunit is used for analyzing the first registration request to obtain user information;
and the request determining subunit is used for generating the second registration request according to the user information.
Further, the request determining module includes:
and the request determining unit is used for determining the second operation request as a second login request of the user to the data analysis end if the first operation request is the first login request of the user to the station building end.
Further, the request sending module includes:
the login unit is used for the station building terminal to login the station building terminal according to the first account;
the account acquisition unit is used for acquiring a second account by the station building end according to the first account, wherein the first account and the second account are stored in the station building end in a pre-associated mode;
the request sending unit is used for sending the second account number and the second login request to the data analysis end by the station building end, responding to the second login request by the data analysis end, and logging in the data analysis end according to the second account number.
Further, the request determining module includes:
and the request determining unit is used for determining that the second operation request is a monitoring logic generation request if the first operation request is a station building request.
Further, the request sending module includes:
the station building unit is used for responding to the station building request, the station building end builds a client and sends the monitoring logic generation request to the data analysis end, and the data analysis end responds to the monitoring logic generation request to generate monitoring logic;
the logic inserting unit is used for inserting the generated monitoring logic into the operation logic of the client side by the station building side.
Further, the request sending module includes:
the request determining unit is used for determining that the second operation request is a target data acquisition request if the first operation request is a target data query request;
wherein the target data query request is a data query request to target monitoring logic of a target client, and the target data acquisition request is a data acquisition request to the target monitoring logic of the target client.
Further, the request sending module includes:
the request sending unit is used for responding to the data query request, the station building end sends the monitoring data acquisition request to the data analysis end, and the data analysis end searches target monitoring data;
the data receiving unit is used for receiving the target monitoring data searched by the data analysis end by the station building end and feeding the target monitoring data back to the user.
Further, the apparatus further comprises:
the system comprises a data analysis end, an account receiving module and a data analysis end, wherein the data analysis end is used for analyzing a monitoring data acquisition request, and the account receiving module is used for receiving a first account fed back by the data analysis end and an identification of a target monitoring logic after the station establishment end sends the monitoring data acquisition request to the data analysis end, wherein the identifications of the first account and the target monitoring logic are analyzed by the data analysis end from the monitoring data acquisition request;
the verification module is used for verifying the received identifiers of the first account number and the target monitoring logic according to the pre-stored mapping relation between the first account number and the target monitoring logic by the station building terminal;
the searching triggering module is used for sending a verification result to the data analysis end by the station building end so as to trigger the data analysis end to execute the searching step on the target monitoring data.
Further, the data receiving unit includes:
the data receiving subunit is used for receiving the interface screenshot comprising the target monitoring data sent by the data analysis end by the station building end;
the report generation subunit is used for inserting the screenshot into a data report template to generate a query data report;
and the report feedback subunit is used for reporting and feeding back the generated query data to the user.
According to embodiments of the present application, an electronic device and a readable storage medium are also provided.
As shown in fig. 8, a block diagram of an electronic device according to a data processing method according to an embodiment of the present application is shown. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 8, the electronic device includes: one or more processors 801, memory 802, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple electronic devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 801 is illustrated in fig. 8.
Memory 802 is a non-transitory computer-readable storage medium provided herein. Wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the data processing methods provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to execute the data processing method provided by the present application.
The memory 802 is used as a non-transitory computer readable storage medium, and may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules (e.g., the request acquisition module 701, the request determination module 702, and the request transmission module 703 shown in fig. 7) corresponding to the data processing method in the embodiments of the present application. The processor 801 executes various functional applications of the server and data processing, i.e., implements the data processing method in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 802.
Memory 802 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created from the use of the data processing electronics, and the like. In addition, memory 802 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 802 may optionally include memory located remotely from processor 801 which may be connected to the data processing electronics via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the data processing method may further include: an input device 803 and an output device 804. The processor 801, memory 802, input devices 803, and output devices 804 may be connected by a bus or other means, for example in fig. 8.
The input device 803 may receive entered numeric or character information and generate key signal inputs related to user settings and function control of the data processing electronic device, such as a touch screen, keypad, mouse, trackpad, touchpad, pointer stick, one or more mouse buttons, trackball, joystick, and the like. The output device 804 may include a display apparatus, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
These computing programs (also referred to as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
The technical scheme of the embodiment of the application solves the problem of complicated user operation. It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions disclosed in the present application can be achieved, and are not limited herein.
The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application are intended to be included within the scope of the present application.

Claims (12)

1. A method of data processing, comprising:
the method comprises the steps that a station building end obtains a first operation request of a user;
the station building end determines a second operation request of a user to the data analysis end according to the first operation request;
the first operation request comprises a registration request, a login request, a station building request and a data query request for the station building end;
the station building end responds to the first operation request, and sends the second operation request to the data analysis end, and the data analysis end responds to the second operation request;
the determining, according to the first operation request, a second operation request of a user to the data analysis end includes:
if the first operation request is a first registration request of the user to the station building end, then
Analyzing the first registration request to obtain user information; generating a second registration request of the user to the data analysis end according to the user information;
if the first operation request is a first login request of the user to the station building end, determining that the second operation request is a second login request of the user to the data analysis end;
the station building end responds to the first operation request, and sends the second operation request to the data analysis end, and the data analysis end responds to the second operation request, comprising the following steps:
the station building end logs in the station building end according to a first account; the station building end acquires a second account according to the first account, wherein the first account and the second account are stored in the station building end in a pre-associated mode; the station building end sends the second account number and the second login request to the data analysis end, the data analysis end responds to the second login request, and the data analysis end logs in according to the second account number.
2. The method according to claim 1, wherein determining a second operation request from the user to the data analysis end according to the first operation request includes:
and if the first operation request is a station building request, determining that the second operation request is a monitoring logic generation request.
3. The method of claim 2, wherein the establishing terminal responds to the first operation request and sends the second operation request to the data analysis terminal, and the responding to the second operation request by the data analysis terminal comprises:
responding to the station building request, building a client by the station building end, sending the monitoring logic generation request to the data analysis end, and responding to the monitoring logic generation request by the data analysis end to generate monitoring logic;
and the station building end inserts the generated monitoring logic into the operation logic of the client.
4. The method according to claim 1, wherein determining a second operation request from the user to the data analysis end according to the first operation request includes:
if the first operation request is a target data query request, determining that the second operation request is a target data acquisition request;
wherein the target data query request is a data query request to target monitoring logic of a target client, and the target data acquisition request is a data acquisition request to the target monitoring logic of the target client.
5. The method of claim 4, wherein the establishing means responds to the first operation request and sends the second operation request to the data analysis means, and wherein responding to the second operation request by the data analysis means comprises:
responding to the data query request, the station building end sends the monitoring data acquisition request to the data analysis end, and the data analysis end searches target monitoring data;
and the station building end receives the target monitoring data searched by the data analysis end and feeds the target monitoring data back to the user.
6. The method of claim 5, wherein after the site-building side sends the monitoring data acquisition request to the data analysis side, the method further comprises:
the station building end receives a first account number fed back by the data analysis end and the identification of the target monitoring logic, wherein the identification of the first account number and the identification of the target monitoring logic are obtained by the data analysis end from the monitoring data acquisition request in an analysis mode;
the station building end verifies the received identifications of the first account number and the target monitoring logic according to a pre-stored mapping relation between the first account number and the target monitoring logic;
and the station building end sends a verification result to the data analysis end so as to trigger the data analysis end to execute a searching step on the target monitoring data.
7. The method of claim 5, wherein the step of receiving, by the station building terminal, the target monitoring data found by the data analysis terminal and feeding back the target monitoring data to the user comprises:
the station building end receives an interface screenshot comprising target monitoring data sent by the data analysis end;
inserting the screenshot into a data report template to generate a query data report;
and feeding back the generated query data report to the user.
8. A data processing apparatus, comprising:
the request acquisition module is used for acquiring a first operation request of a user at the station building end;
the request determining module is used for determining a second operation request of the user to the data analysis end according to the first operation request by the station building end;
the first operation request comprises a registration request, a login request, a station building request and a data query request for the station building end;
the request sending module is used for responding to the first operation request by the station building end, sending the second operation request to the data analysis end, and responding to the second operation request by the data analysis end;
the request determination module includes:
the request determining unit is used for determining that the second operation request is a second registration request of the user to the data analysis end according to the first registration request if the first operation request is the first registration request of the user to the station building end;
the request determination unit includes:
the information analysis subunit is used for analyzing the first registration request to obtain user information;
a request determining subunit, configured to generate the second registration request according to the user information;
the request determining unit is further configured to determine that the second operation request is a second login request of the user to the data analysis end if the first operation request is a first login request of the user to the station building end;
the request sending module comprises:
the login unit is used for the station building terminal to login the station building terminal according to the first account;
the account acquisition unit is used for acquiring a second account by the station building end according to the first account, wherein the first account and the second account are stored in the station building end in a pre-associated mode;
the request sending unit is used for sending the second account number and the second login request to the data analysis end by the station building end, responding to the second login request by the data analysis end, and logging in the data analysis end according to the second account number.
9. The apparatus of claim 8, wherein the request determination module comprises:
and the request determining unit is used for determining that the second operation request is a monitoring logic generation request if the first operation request is a station building request.
10. The apparatus of claim 9, wherein the request sending module comprises:
the station building unit is used for responding to the station building request, the station building end builds a client and sends the monitoring logic generation request to the data analysis end, and the data analysis end responds to the monitoring logic generation request to generate monitoring logic;
the logic inserting unit is used for inserting the generated monitoring logic into the operation logic of the client side by the station building side.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
12. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-7.
CN202010388041.8A 2020-05-09 2020-05-09 Data processing method, device, equipment and storage medium Active CN111581071B (en)

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