CN115471168A - Automatic flow processing method and device, electronic equipment and computer readable medium - Google Patents
Automatic flow processing method and device, electronic equipment and computer readable medium Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The embodiment of the disclosure discloses an automatic flow processing method, an automatic flow processing device, electronic equipment and a computer readable medium. One embodiment of the method comprises: in response to receiving a task request aiming at the power material supply service, reading a service parameter, an account name and a login password in a pre-generated parameter configuration file; logging in the target application by using the read parameters, account names and login passwords; determining whether historical task data matched with the request data in the task request exists in a historical task table of the target application; responding to the fact that historical task data matched with the task request does not exist in the read historical task data, and writing the request data serving as the historical task data into a historical task table; and reading and processing the historical task data in the historical task table. The embodiment shortens the processing time of the power material supply service to a certain extent and ensures the accuracy of the processing result.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to an automatic flow processing method, an automatic flow processing device, electronic equipment and a computer readable medium.
Background
At present, the handling of individual power supply services depends to varying degrees on manual work. However, when the electric power material supply business is processed manually, the following technical problems often exist:
firstly, most of the power material supply services have the characteristics of high repeatability and large workload, depend on manual processing of the power material supply services, consume excessive time and are difficult to ensure the quality of processing results;
secondly, the problem points in the processing process are difficult to be accurately positioned in a manual processing mode, so that the problem points in the processing process are difficult to be timely and accurately found out when the processing result is wrong.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose automated flow processing methods, apparatuses, electronic devices, and computer readable media to address one or more of the technical problems noted in the background section above.
In a first aspect, some embodiments of the present disclosure provide an automated flow processing method, including: in response to receiving a task request aiming at the power material supply service, reading a service parameter, an account name and a login password in a pre-generated parameter configuration file, wherein the task request comprises request data; logging in a target application by using the read parameters, account names and login passwords, wherein the target application is matched with the power material supply business; determining whether historical task data matched with the request data in the task request exists in a historical task table of the target application; in response to the fact that historical task data matched with the task request do not exist in the read historical task data, writing the request data serving as historical task data into the historical task table; and reading and processing the historical task data in the historical task table.
In a second aspect, some embodiments of the present disclosure provide an automated process handling apparatus, the apparatus comprising: the reading unit is configured to respond to a received task request aiming at the power material supply service, and read service parameters, account names and login passwords in a parameter configuration file generated in advance, wherein the task request comprises request data; a login unit configured to log in a target application using the read parameters, account name and login password, wherein the target application is matched with the electric power material supply service; a determining unit configured to determine whether there is historical task data matching request data in the task request in a historical task table of the target application; a writing unit configured to write the request data as historical task data into the historical task table in response to determining that there is no historical task data matching the task request in the read historical task data; and the reading and processing unit is configured to read and process the historical task data in the historical task table.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: through the automatic flow processing method of some embodiments of the disclosure, the electric power material supply business with high repeatability and large workload can be delivered to the computer and the like to intelligently execute main body processing, so that the processing time of the electric power material supply business is shortened to a certain extent, and the accuracy of the processing result is ensured. Specifically, the reason why the related electric power supply industry process consumes excessive time and it is difficult to ensure the quality of the process result is that: the method depends on the electric power material supply service with high repeatability and large workload of manual processing. Therefore, the automated process processing method according to some embodiments of the present disclosure first reads the service parameters, the account name, and the login password in the pre-generated parameter configuration file in response to receiving a task request for the power material supply service, where the task request includes the request data. And then, logging in a target application by using the read parameters, the account name and the login password, wherein the target application is matched with the power material supply business. Therefore, after the task request is received, the related data can be automatically read and the target application can be logged in. And then, determining whether historical task data matched with the request data in the task request exists in the historical task table of the target application. And then, in response to determining that no historical task data matched with the task request exists in the read historical task data, writing the request data into the historical task table as historical task data. And finally, reading and processing the historical task data in the historical task table. Therefore, newly generated request data can be added into the historical task table for automatic processing of the historical task data in the historical task table in sequence. Through the automated processing to electric power material supply business, shortened electric power material supply business's processing time to a certain extent, avoided the error in the manual processing process and ensured the accuracy of processing result.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic illustration of one application scenario of an automated flow processing method of some embodiments of the present disclosure;
FIG. 2 is a flow diagram of some embodiments of an automated flow process method according to the present disclosure;
FIG. 3 is a flow diagram of further embodiments of an automated flow process method according to the present disclosure;
FIG. 4 is a block diagram of some embodiments of automated flow processing apparatus of the present disclosure;
FIG. 5 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence of the functions performed by the devices, modules or units.
It is noted that references to "a" or "an" in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will appreciate that references to "one or more" are intended to be exemplary and not limiting unless the context clearly indicates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
FIG. 1 is a schematic diagram of one application scenario of an automated flow processing method of some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may read a service parameter, an account name, and a login password in a pre-generated parameter configuration file 103 in response to receiving a task request 102 for an electric power material supply service, where the task request 102 includes request data 1021. Then, the computing device 101 may log in the target application 104 by using the read parameters, the account name, and the login password, wherein the target application 104 is matched with the electric power material supply business. Next, the computing device 101 may determine whether historical task data matching the request data in the task request 102 exists in the historical task table 105 of the target application 104. Next, the computing device 101 may write the request data 1021 as history task data into the history task table 105 in response to determining that there is no history task data matching the task request 102 in the read history task data. Finally, the computing device 101 may read and process the historical task data in the historical task table 105 described above.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of an automated flow processing method according to the present disclosure is shown. The automatic flow processing method comprises the following steps:
In some embodiments, an executing agent of the automated process flow processing method (e.g., computing device 101 shown in fig. 1) may read the business parameters, account name, and login password in a pre-generated parameter profile in response to receiving a task request for the power supply business. The task request may include request data. The task request can also comprise a service identifier for uniquely identifying the power material supply service. The corresponding relationship between the service identifier and the parameter configuration file may be stored in a database in advance. Therefore, the parameter configuration file corresponding to the power material supply service can be determined through the service identifier included in the task request.
In some optional implementations of some embodiments, the parameter configuration file may be generated by:
the method comprises the following steps of firstly, acquiring a workflow log of the power material supply service from a data center station by using a preset data model to obtain a workflow log set. The workflow logs in the workflow log set may include: time stamp, data format, data content, and data length. The data center station can be used for storing the workflow logs of each power material supply service.
And secondly, performing flow mining processing on the workflow logs in the workflow log set to obtain a parameter configuration file of the power material supply service. Wherein, the parameter configuration file may include: business parameters, account names and login passwords. The workflow logs in the workflow log set can be processed by flow mining algorithm. The above-described flow mining algorithm may include, but is not limited to, at least one of: an ID3 (iterative dichotomy 3) algorithm, a SVM (Support Vector Machine) algorithm, an EM (Expectation-maximization) algorithm, and the like.
And 202, logging in the target application by using the read parameters, the account name and the login password.
In some embodiments, the execution subject may log in the target application using the read parameters, the account name, and the login password. Wherein the target application is matched with the electric power material supply service. The corresponding relation between each application and the power material supply service can be recorded in a database in advance. Thus, the application corresponding to the electric power material supply service recorded in the database can be used as the target application.
In some embodiments, the execution agent may determine whether historical task data matching the request data in the task request exists in the historical task table of the target application. The historical task data matched with the request data in the task request in the historical task table can be the same historical task data as the request data.
And step 204, in response to the fact that historical task data matched with the task request does not exist in the read historical task data, writing the request data serving as historical task data into a historical task table.
In some embodiments, the execution agent may write the request data as historical task data into the historical task table in response to determining that there is no historical task data matching the task request in the read historical task data.
In some embodiments, the execution agent may read and process the historical task data in the historical task table. The execution main body can read the historical task data in the historical task table one by one and write the historical task data into a preset data processing template so as to finish the processing of the historical task data.
In some optional implementations of some embodiments, the executing body may further perform the following steps:
and step one, responding to the fact that the historical task data in the historical task table are processed completely, and generating a task result summary table. The task summary result table includes a processing start time, a processing end time, and a processing result of each piece of historical task data. The processing result may be a data processing template after the history task data is written.
And secondly, sending the task result summary table to a target terminal for displaying. The target terminal may be a terminal that transmits the task request.
Optionally, the executing body may further send a prompt message indicating that the task request processing is completed to the target terminal.
The above embodiments of the present disclosure have the following advantages: through the automatic flow processing method of some embodiments of the disclosure, the electric power material supply business with high repeatability and large workload can be delivered to the computer and the like to intelligently execute main body processing, so that the processing time of the electric power material supply business is shortened to a certain extent, and the accuracy of the processing result is ensured. Specifically, the reason why the related electric power supply industry process consumes excessive time and it is difficult to ensure the quality of the process result is that: the method depends on the electric power material supply service with high repeatability and large workload of manual processing. Therefore, in the automated process processing method according to some embodiments of the present disclosure, first, in response to receiving a task request for an electric power material supply service, a service parameter, an account name, and a login password in a pre-generated parameter configuration file are read, where the task request includes request data. And then, logging in a target application by using the read parameters, the account name and the login password, wherein the target application is matched with the power material supply business. Therefore, after the task request is received, relevant data can be automatically read and the target application can be logged in. And then, determining whether historical task data matched with the request data in the task request exists in the historical task table of the target application. And then, in response to the fact that the historical task data matched with the task request does not exist in the read historical task data, writing the request data serving as historical task data into the historical task table. And finally, reading and processing the historical task data in the historical task table. Therefore, newly generated request data can be added into the historical task table for automatic processing of the historical task data in the historical task table in sequence. Through the automatic processing to electric power material supply business, shortened electric power material supply business's processing time to a certain extent, avoided the error in the manual handling process and guaranteed the accuracy of processing result.
With further reference to FIG. 3, a flow 300 of further embodiments of an automated flow processing method is illustrated. The process 300 of the automated process flow method includes the steps of:
And step 302, logging in the target application by using the read parameters, the account name and the login password.
And step 304, in response to the fact that historical task data matched with the task request do not exist in the read historical task data, writing the request data serving as the historical task data into a historical task table.
In some embodiments, the detailed implementation manner and technical effects of steps 301 to 304 may refer to steps 201 to 204 in those embodiments corresponding to fig. 2, and are not described herein again.
In some embodiments, an executing entity (e.g., computing device 101 of FIG. 1) of the automated process flow processing method may mark historical task data in the historical task table that matches the requested data as new data. The historical task data matched with the request data in the historical task table may be the same historical task data as the request data in the task request.
In some embodiments, the executing body may execute the following processing steps for each historical task data marked as new data in the historical task table:
the first step is to select a flow template matched with the historical task data from a pre-generated flow template set as a target flow template. The corresponding relationship between each historical task data and the flow template may be stored in a database in advance. Thus, the flow template corresponding to the type of the historical task data can be selected from the database as the target flow template. The target flow template may be a word format or an excel format template.
And secondly, filling the historical task data into the target process template to obtain a target process file.
And thirdly, performing task processing on the target flow file. The task processing may be sending the target flow file to a preset destination address in the form of an email.
And fourthly, in response to the fact that the processing of the target process file task is determined to be completed, marking the historical task data as processed data, and recording the current time as the processing completion time of the historical task data in the historical task table.
The above steps 305 to 306 are an inventive point of the present disclosure, and solve the technical problem two mentioned in the background art, "when the processing result is incorrect, it is difficult to find out the problem point in the processing process timely and accurately". The factors that cause the above technical problems tend to be as follows: the manual processing mode is difficult to accurately position the problem points in the processing process. If the factors are solved, the problem points in the processing process can be found out timely and accurately. In order to achieve the effect, the historical task data state and the processing completion time are marked in the historical task table, so that the problem point can be conveniently positioned according to the record in the historical task table when the subsequent processing result is wrong. Meanwhile, when the processing flow is abnormally terminated, the processing flow can be recovered according to the state of the historical task data in the historical task table.
In some optional implementations of some embodiments, the set of flow templates may be generated by:
and extracting general information in each workflow log in the workflow log set, and generating a flow template set by using the general information. And writing all the general information into a word format document or an excel format document to obtain a flow template set.
As can be seen from fig. 3, compared with the description of some embodiments corresponding to fig. 2, the process 300 of the automated process processing method in some embodiments corresponding to fig. 3 embodies a processing procedure of each historical task data marked as new data in the historical task table, and by marking the historical task data state and the processing completion time in the historical task table, it is convenient to locate a problem point according to a record in the historical task table when a subsequent processing result is incorrect. Meanwhile, when the processing flow is abnormally terminated, the processing flow can be recovered according to the state of the historical task data in the historical task table.
With further reference to fig. 4, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of an automated process handling apparatus, which correspond to those method embodiments illustrated in fig. 2, and which may be particularly applicable in various electronic devices.
As shown in fig. 4, the automated process flow processing apparatus 400 of some embodiments comprises: a reading unit 401, a logging unit 402, a determining unit 403, a writing unit 404, and a reading and processing unit 405. The reading unit 401 is configured to read a service parameter, an account name and a login password in a parameter configuration file generated in advance in response to receiving a task request for an electric power material supply service, wherein the task request comprises request data; a login unit 402 configured to log in a target application using the read parameters, the account name, and the login password, wherein the target application matches with the electric power material supply service; a determining unit 403 configured to determine whether there is historical task data matching request data in the task request in the historical task table of the target application; a writing unit 404 configured to write the request data as history task data into the history task table in response to determining that there is no history task data matching the task request among the read history task data; a reading and processing unit 405 configured to read and process the history task data in the history task table.
It will be understood that the units described in the apparatus 400 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.
Referring now to FIG. 5, a block diagram of an electronic device 500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may be separate and not incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving a task request aiming at the power material supply service, reading a service parameter, an account name and a login password in a pre-generated parameter configuration file, wherein the task request comprises request data; logging in a target application by using the read parameters, account names and login passwords, wherein the target application is matched with the power material supply business; determining whether historical task data matched with the request data in the task request exists in a historical task table of the target application; in response to the fact that historical task data matched with the task request do not exist in the read historical task data, writing the request data serving as historical task data into the historical task table; and reading and processing the historical task data in the historical task table.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, which may be described as: a processor includes a reading unit, a logging unit, a determining unit, a writing unit, and a reading and processing unit. Where the names of these elements do not in some cases constitute a limitation on the element itself, for example, the login element may also be described as a "target application login element".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.
Claims (10)
1. An automated process flow processing method, comprising:
in response to receiving a task request aiming at the power material supply service, reading a service parameter, an account name and a login password in a pre-generated parameter configuration file, wherein the task request comprises request data;
logging in a target application by using the read parameters, account names and login passwords, wherein the target application is matched with the power material supply business;
determining whether historical task data matched with the request data in the task request exists in a historical task table of the target application;
in response to the fact that historical task data matched with the task request does not exist in the read historical task data, writing the request data serving as historical task data into the historical task table;
and reading and processing the historical task data in the historical task table.
2. The method of claim 1, wherein the parameter profile is generated by:
acquiring a workflow log of the power material supply service from a data center station by using a preset data model to obtain a workflow log set, wherein the workflow log in the workflow log set comprises: time stamp, data format, data content and data length;
performing process mining on the workflow logs in the workflow log set to obtain a parameter configuration file of the power material supply service, wherein the parameter configuration file comprises: business parameters, account names and login passwords.
3. The method of claim 1, wherein after the writing the request data as historical task data in the historical task table, the method further comprises:
and marking the historical task data matched with the request data in the historical task table as new data.
4. The method of claim 3, wherein the reading and processing of historical task data in the historical task table comprises:
for each historical task data marked as new data in the historical task table, executing the following processing steps:
selecting a process template matched with the historical task data from a pre-generated process template set as a target process template;
filling the historical task data into the target process template to obtain a target process file;
performing task processing on the target flow file;
in response to determining that the target process file task processing is completed, marking the historical task data as processed data, and recording the current time as the processing completion time of the historical task data in the historical task table.
5. The method of claim 4, wherein the set of flow templates is generated by:
and extracting general information in each workflow log in the workflow log set, and generating a flow template set by using the general information.
6. The method of claim 1, wherein the method further comprises:
generating a task result summary table in response to determining that the historical task data in the historical task table is processed;
and sending the task result summary table to a target terminal for displaying.
7. The method of claim 6, wherein the method further comprises:
and sending a prompt message for representing the completion of the task request processing to the target terminal.
8. An automated process flow processing apparatus comprising:
the reading unit is configured to read service parameters, account names and login passwords in a parameter configuration file generated in advance in response to receiving a task request for the power material supply service, wherein the task request comprises request data;
a login unit configured to log in a target application using the read parameters, account name and login password, wherein the target application is matched with the electric power material supply service;
a determining unit configured to determine whether there is historical task data matching request data in the task request in a historical task table of the target application;
a writing unit configured to write the request data as historical task data into the historical task table in response to determining that there is no historical task data matching the task request in the read respective historical task data;
a reading and processing unit configured to read and process the historical task data in the historical task table.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.
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