CN115471168B - Automated process processing method, apparatus, electronic device and computer readable medium - Google Patents
Automated process processing method, apparatus, electronic device and computer readable medium Download PDFInfo
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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
- 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
Embodiments of the present disclosure disclose an automated process processing method, apparatus, electronic device, and computer readable medium. One embodiment of the method comprises the following steps: responding to a task request for the power material supply service, and reading service parameters, account names and login passwords in a pre-generated parameter configuration file; logging in the target application by using the read parameters, account name and login password; determining whether historical task data matched with request data in a task request exists in a historical task table of a target application; responsive to determining that no historical task data matching the task request exists in the read historical task data, writing the request data into a historical task table as historical task data; and reading and processing the historical task data in the historical task table. The embodiment shortens the processing time of the power material supply business to a certain extent and ensures the accuracy of the processing result.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technology, and in particular, to an automated process processing method, an apparatus, an electronic device, and a computer readable medium.
Background
Currently, the handling of individual power supply services is dependent on manual work to a varying extent. However, when the power supply business is manually handled, there are often the following technical problems:
firstly, most of electric power material supply businesses have the characteristics of high repeatability and large workload, rely on manual work to process the electric power material supply businesses, consume excessive time and are difficult to ensure the quality of processing results;
secondly, the problem points in the processing process are difficult to accurately locate in a manual processing mode, so that the problem points in the processing process are difficult to accurately find in time when the processing result is wrong.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure 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 an automated flow processing method, apparatus, electronic device, and computer readable medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide an automated flow processing method, the method comprising: responding to a task request for a power material supply service, and reading service parameters, account names and login passwords 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 name and login password, wherein the target application is matched with the electric power material supply service; determining whether historical task data matched with request data in the task request exists in a historical task table of the target application; 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 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 flow processing apparatus, the apparatus comprising: a reading unit configured to read service parameters, account names and login passwords in a pre-generated parameter configuration file in response to receiving a task request for a power supply service, wherein the task request comprises request data; a login unit configured to login a target application using the read parameter, account name, and login password, wherein the target application is matched with the electric power supply service; a determining unit configured to determine whether or not there is history task data matching the request data in the task request in the history task table of the target application; a writing unit configured to write the request data as history task data in the history task table in response to determining that history task data matching the task request does not exist in the read history task data; and a reading and processing unit configured to read and process the history task data in the history 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 causes the one or more processors to implement the method described in any of the implementations of the first aspect above.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
The above embodiments of the present disclosure have the following advantageous effects: by the automatic flow processing method of some embodiments of the present disclosure, the electric power material supply service with high repeatability and large workload can be delivered to the intelligent execution body such as a computer to process, so that the processing time of the electric power material supply service 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: rely on the manual handling repeatability high, the electric power supplies business that work load is big. Accordingly, in some embodiments of the present disclosure, first, in response to receiving a task request for a power 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, account name and login password, wherein the target application is matched with the power supply business. Therefore, after receiving the task request, the related data can be automatically read and the target application can be logged in. Next, it is determined whether there is historical task data in the historical task table of the target application that matches the request data in the task request. And then, in response to determining that the history task data matched with the task request does not exist in the read history task data, writing the request data into the history task table as history task data. Finally, the historical task data in the historical task table are read and processed. Thus, newly generated request data can be added into the historical task table for automatically processing the historical task data in the historical task table in sequence. By automatically processing the electric power material supply business, the processing time of the electric power material supply business is shortened to a certain extent, errors in the manual processing process are avoided, and the accuracy of the processing result is ensured.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components 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 chart of some embodiments of an automated flow processing method according to the present disclosure;
FIG. 3 is a flow chart of further embodiments of an automated flow processing method according to the present disclosure;
FIG. 4 is a schematic diagram of the architecture of some embodiments of an automated flow processing apparatus of the present disclosure;
fig. 5 is a schematic structural 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 should be understood that the present 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 so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such 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 the service parameters, account name and login password in the pre-generated parameter configuration file 103 in response to receiving the task request 102 for the power supply service, where the task request 102 includes the request data 1021. The computing device 101 may then log in to the target application 104 using the read parameters, account name, and login password, wherein the target application 104 matches the power supply service. The computing device 101 may then determine whether there is historical task data in the historical task table 105 of the target application 104 that matches the request data in the task request 102. Then, in response to determining that there is no history task data matching the task request 102 in the read history task data, the computing device 101 may write the request data 1021 as history task data in the history task table 105. 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, the computing device may be implemented as a distributed cluster formed by a plurality of 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 listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention 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 desired for an implementation.
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 step 201, in response to receiving a task request for the power supply service, service parameters, account names and login passwords in a pre-generated parameter configuration file are read.
In some embodiments, an executing body of the automated process processing method (e.g., computing device 101 shown in fig. 1) may read service parameters, account names, and login passwords in a pre-generated parameter profile in response to receiving a task request for a power supply service. Wherein the task request may include request data. The task request may further include a service identifier for uniquely identifying the power supply service. The corresponding relationship between the service identifier and the parameter configuration file may be stored in the database in advance. Thus, the parameter configuration file corresponding to the electric power supply service can be determined by the service identifier included in the task request.
In some alternative implementations of some embodiments, the parameter profile may be generated by:
the first step, a workflow log of the electric power material supply business is obtained from a data center station by utilizing a preset data model, and a workflow log set is obtained. Wherein, the workflow log in the workflow log set may include: timestamp, data format, data content, and data length. The data center may be used to store a workflow log for each power supply service.
And secondly, carrying out flow mining processing on the workflow logs in the workflow log set to obtain the parameter configuration file of the power material supply service. The parameter configuration file may include: business parameters, account names, and login passwords. And the workflow logs in the workflow log set can be subjected to flow mining processing by using a 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, an SVM (Support Vector Machine ) algorithm, an EM (Expectation-maximization) algorithm, and the like.
Step 202, logging in the target application by using the read parameters, account name and login password.
In some embodiments, the executing entity may log into the target application using the read parameters, account name, and login password. Wherein the target application is matched with the power supply service. The correspondence between each application and the power supply service may be recorded in advance in the database. Thus, the application corresponding to the electric power supply service recorded in the database can be used as the target application.
Step 203, determining whether there is historical task data in the historical task table of the target application that matches the request data in the task request.
In some embodiments, the execution body may determine whether there is historical task data in the historical task table of the target application that matches the request data in the task request. The historical task data in the historical task table, which is matched with the request data in the task request, may be the same historical task data as the request data.
In step 204, in response to determining that there is no history task data matching the task request in the read history task data, the request data is written as history task data into the history task table.
In some embodiments, the execution body may write the request data as historical task data in 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.
Step 205, reading and processing the historical task data in the historical task table.
In some embodiments, the execution body may read and process the historical task data in the historical task table. The execution 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 complete the processing of the historical task data.
In some optional implementations of some embodiments, the executing body may further execute the following steps:
first, in response to determining that the processing of the historical task data in the historical task table is completed, a task result summary table is generated. 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 writing the history task data.
And secondly, sending the task result summary table to a target terminal for display. 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 advantageous effects: by the automatic flow processing method of some embodiments of the present disclosure, the electric power material supply service with high repeatability and large workload can be delivered to the intelligent execution body such as a computer to process, so that the processing time of the electric power material supply service 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: rely on the manual handling repeatability high, the electric power supplies business that work load is big. Accordingly, in some embodiments of the present disclosure, first, in response to receiving a task request for a power 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, account name and login password, wherein the target application is matched with the power supply business. Therefore, after receiving the task request, the related data can be automatically read and the target application can be logged in. Next, it is determined whether there is historical task data in the historical task table of the target application that matches the request data in the task request. And then, in response to determining that the history task data matched with the task request does not exist in the read history task data, writing the request data into the history task table as history task data. Finally, the historical task data in the historical task table are read and processed. Thus, newly generated request data can be added into the historical task table for automatically processing the historical task data in the historical task table in sequence. By automatically processing the electric power material supply business, the processing time of the electric power material supply business is shortened to a certain extent, errors in the manual processing process are avoided, and the accuracy of the processing result is ensured.
With further reference to FIG. 3, a flow 300 of further embodiments of an automated flow processing method is shown. The process 300 of the automated process processing method comprises the steps of:
in step 301, in response to receiving a task request for a power supply service, service parameters, account names and login passwords in a pre-generated parameter configuration file are read.
Step 302, login to the target application is performed using the read parameters, account name and login password.
Step 303, it is determined whether there is historical task data in the historical task table of the target application that matches the request data in the task request.
And step 304, in response to determining that the historical task data matched with the task request does not exist in the read historical task data, the request data is written into a historical task table as the historical task data.
In some embodiments, the specific implementation manner and the 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.
In step 305, the historical task data in the historical task table that matches the request data is marked as newly added data.
In some embodiments, the execution body of the automated process (e.g., the computing device 101 of fig. 1) may mark the historical task data in the historical task table that matches the request data as newly added data. The historical task data in the historical task table, which is matched with the request data, may be the same historical task data as the request data in the task request.
Step 306, for each historical task data marked as newly added data in the historical task table, a processing step is performed.
In some embodiments, the execution body may perform the following processing steps for each historical task data marked as newly added data in the historical task table:
first, selecting a process template matched with the historical task data from a pre-generated process template set as a target process template. The corresponding relation between each historical task data and the flow template can be stored in the database in advance. Thus, a flow template corresponding to the type of the above-described history 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 flow template to obtain a target flow file.
And thirdly, performing task processing treatment on the target flow file. The task processing may be to send the target flow file to a preset destination address in a mail form.
And a fourth step of marking the history task data as processed data in response to determining that the task processing of the target flow file is completed, and recording a current time as a processing completion time of the history task data in the history task table.
The steps 305-306 are taken as an invention point of the embodiment of the disclosure, and solve the second technical problem mentioned in the background art, namely that when the processing result is wrong, the problem point in the processing process is difficult to find out accurately in time. Factors that present the above technical problems are often as follows: the problem points in the processing process are difficult to accurately locate in a manual processing mode. If the above factors are solved, the problem points in the processing process can be timely and accurately found out. In order to achieve the effect, the method marks the historical task data state and the processing completion time in the historical task table, is convenient for locating the problem point 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 restored 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 described above may be generated by:
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 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, in comparison 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 process of processing each history task data marked as newly added data in the history task table, and by marking the history task data status and the processing completion time in the history task table, it is convenient for the subsequent processing result to locate the problem point according to the record in the history task table when there is an error. Meanwhile, when the processing flow is abnormally terminated, the processing flow can be restored 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 method illustrated in the above figures, the present disclosure provides some embodiments of an automated flow processing apparatus, which apparatus embodiments correspond to those illustrated in fig. 2, and which apparatus is particularly applicable in a variety of electronic devices.
As shown in fig. 4, an automated flow processing apparatus 400 of some embodiments includes: a reading unit 401, a login unit 402, a determination unit 403, a writing unit 404, and a reading and processing unit 405. Wherein, the reading unit 401 is configured to read service parameters, account names and login passwords in a pre-generated parameter configuration file in response to receiving a task request for the power supply service, wherein the task request comprises request data; a login unit 402 configured to login a target application using the read parameter, account name, and login password, wherein the target application matches the electric power supply service; a determining unit 403 configured to determine whether there is history task data matching the request data in the task request in the history task table of the target application; a writing unit 404 configured to write the request data as history task data in the history task table in response to determining that history task data matching the task request does not exist in 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 appreciated that the elements 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 benefits described above with respect to the method are equally applicable to the apparatus 400 and the units contained therein, and are not described in detail herein.
Referring now to fig. 5, a schematic 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 merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 5, the electronic device 500 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 501, which may perform various appropriate actions and processes according to 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 required 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 via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
In general, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 507 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; and communication means 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 shows an electronic device 500 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 5 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts 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 shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communications device 509, or from the storage device 508, or from the ROM 502. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing device 501.
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. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 present 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, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, 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 networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being 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: responding to a task request for a power material supply service, and reading service parameters, account names and login passwords 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 name and login password, wherein the target application is matched with the electric power material supply service; determining whether historical task data matched with request data in the task request exists in a historical task table of the target application; 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 reading and processing the historical task data in the historical task table.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts 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 means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes a reading unit, a logging unit, a determining unit, a writing unit, and a reading and processing unit. The names of these units do not constitute a limitation on the unit itself in some cases, and for example, a login unit may also be described as a "target application login unit".
The functions described above herein 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: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
Claims (8)
1. An automated process processing method comprising:
responding to a task request for a power material supply service, and reading service parameters, account names and login passwords 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 name and login password, wherein the target application is matched with the power material supply service;
determining whether historical task data matched with request data in the task request exists in a historical task table of the target application;
responsive to determining that there is no historical task data matching the task request in the read historical task data, writing the request data as historical task data into the historical task table;
marking historical task data matched with the request data in the historical task table as newly added data;
reading and processing historical task data in the historical task table;
wherein the reading and processing the historical task data in the historical task table includes:
for each historical task data marked as newly added data in the historical task table, the following processing steps are executed:
selecting a flow template matched with the historical task data from a pre-generated flow template set as a target flow template;
filling the historical task data into the target flow template to obtain a target flow file;
performing task processing on the target flow file;
in response to determining that the target flow file task processing is complete, marking the historical task data as processed data and recording a current time as a processing completion time for 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 supply business 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: timestamp, data format, data content, and data length;
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 comprises: business parameters, account names, and login passwords.
3. The method of claim 2, wherein the set of flow templates is generated by:
extracting general information in each workflow log in the workflow log set, and generating a flow template set by using the general information.
4. The method of claim 1, wherein the method further comprises:
generating a task result summary table in response to determining that historical task data processing in the historical task table is complete;
and sending the task result summary table to a target terminal for display.
5. The method of claim 4, wherein the method further comprises:
and sending a prompt message representing that the task request processing is completed to the target terminal.
6. An automated flow processing apparatus comprising:
a reading unit configured to read service parameters, account names and login passwords in a pre-generated parameter configuration file in response to receiving a task request for a power supply service, wherein the task request comprises request data;
a login unit configured to login a target application using the read parameter, account name, and login password, wherein the target application is matched with the electric power supply service;
a determining unit configured to determine whether there is historical task data matching the 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 history task data in the history task table in response to determining that history task data matching the task request does not exist in the read history task data;
a marking unit configured to mark historical task data matched with the request data in the historical task table as newly added data;
a reading and processing unit configured to read and process historical task data in the historical task table;
wherein the reading and processing unit is further configured to: for each historical task data marked as newly added data in the historical task table, the following processing steps are executed: selecting a flow template matched with the historical task data from a pre-generated flow template set as a target flow template; filling the historical task data into the target flow template to obtain a target flow file; performing task processing on the target flow file; in response to determining that the target flow file task processing is complete, marking the historical task data as processed data and recording a current time as a processing completion time for the historical task data in the historical task table.
7. 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, causes the one or more processors to implement the method of any of claims 1-5.
8. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-5.
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