CN113296912A - Task processing method, device and system, storage medium and electronic equipment - Google Patents
Task processing method, device and system, storage medium and electronic equipment Download PDFInfo
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
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Abstract
The present disclosure relates to the field of computers, and provides a task processing method, a device, a system, a computer storage medium, and an electronic device, wherein the method is applied to a task execution unit in a task processing system, and comprises: responding to a task processing request sent by a task scanning unit in the task processing system, and acquiring object information and summary categories contained in the task processing request; calling a data source interface, and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface; and processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information. On one hand, the method and the device can realize automatic task processing, avoid manual processing, further improve the efficiency of task processing and reduce the cost; on the other hand, manual operation is avoided, so that the accuracy of information is ensured, and the accuracy of a processing result is further improved.
Description
Technical Field
The present disclosure relates to the field of computers, and in particular, to a task processing method, a task processing apparatus, a task processing system, a computer storage medium, and an electronic device.
Background
With the rapid development of computer technology, more and more industries gradually change from a manual work mode to an automatic mode which is dominated by a computer.
Taking generation of bills as an example, a generally adopted mode is that in an account-out period, a settlement person gathers merchants through a page function, generates bills and pushes the bills. The newly added task with the page summarizing function needs to fill in a expense subject, a service date and a merchant code, submit the task for processing after the task is correctly filled, and push the task to a merchant account through the 'pushing account checking' function of the page after the task is processed and a bill is generated. However, this method is non-automatic, the process is tedious, it takes a lot of time, the labor cost is high, and there are problems of omission and data error.
In view of the above, there is a need in the art to develop a new task processing method and apparatus.
It is to be noted that the information disclosed in the background section above is only used to enhance understanding of the background of the present disclosure.
Disclosure of Invention
The present disclosure is directed to a task processing method, a task processing apparatus, a task processing system, a computer storage medium, and an electronic device, which improve task processing efficiency and accuracy of an obtained processing result at least to some extent.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to a first aspect of the present disclosure, there is provided a task processing method, applied to a task execution unit in a task processing system, the task processing method including:
responding to a task processing request sent by a task scanning unit in the task processing system, and acquiring object information and summary categories contained in the task processing request;
calling a data source interface, and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface;
and processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information.
In an exemplary embodiment of the present disclosure, before responding to the task processing request sent by the task scanning unit, the method further includes:
the task scanning unit scans the tasks at a preset time point to obtain a task list, and judges the starting state of the tasks in the task list;
when a task with an opening state exists, judging the summary attribute of the task;
and when the summary attribute of the task is automatic summary, generating a task processing request according to the object information and the summary category corresponding to the task, and sending the task processing request to the task execution unit.
In an exemplary embodiment of the present disclosure, the data to be processed includes data of a plurality of latitudes; the data source interface is connected with a plurality of databases for storing different types of data;
the acquiring, through the data source interface, the to-be-processed data corresponding to the object information and the summary category includes:
matching the object information with candidate object information in each database;
and if the target candidate object information matched with the object information exists in the database, acquiring data corresponding to the target candidate object information and the summary category as the data to be processed.
In an exemplary embodiment of the present disclosure, the processing the to-be-processed data based on a preset rule includes:
and matching the object information with candidate object information in a rule base, acquiring a target rule corresponding to the candidate object information when the candidate object information matched with the object information exists in the rule base, and processing to-be-processed data corresponding to the object information according to the target rule.
In an exemplary embodiment of the present disclosure, the processing the to-be-processed data based on a preset rule includes:
matching the object information with rules in a rule base to obtain a plurality of candidate rules corresponding to the object information;
and acquiring the priority of each candidate rule, and processing the data to be processed corresponding to the object information based on the candidate rule with the highest priority.
In an exemplary embodiment of the present disclosure, after acquiring the processing result corresponding to the object information, the method further includes:
judging the pushing state of the task corresponding to the task processing request through the task scanning unit;
and when the pushing state is automatic pushing, sending a result pushing request to the task execution unit so that the task processing unit responds to the result pushing request and sends the processing result to a target terminal.
In an exemplary embodiment of the present disclosure, the method further comprises:
when the summary attribute of the task is judged, the pushing attribute of the task is also judged;
when the pushing attribute of the task is automatic pushing, sending a result pushing request to the task execution unit while sending the task processing request; or after the processing result is obtained, the result pushing request is sent to the task execution unit.
In an exemplary embodiment of the present disclosure, the task is a bill generation task, the task processing request is a bill generation request, the object information is merchant information, the summary category is a cost subject latitude required when a bill is generated, the data to be processed is cost data corresponding to the cost subject latitude, and the processing result is the generated bill.
According to a second aspect of the present disclosure, there is provided a task processing apparatus, configured with a task execution unit in a task processing system, including:
the request response module is used for responding to a task processing request sent by a task scanning unit in the task processing system and acquiring object information and summary categories contained in the task processing request;
the data acquisition module is used for calling a data source interface and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface;
and the data processing module is used for processing the data to be processed based on a preset rule so as to obtain a processing result corresponding to the object information.
According to a third aspect of the present disclosure, there is provided a task processing system, comprising:
the task scanning unit is used for scanning a task at a preset time point to obtain a task list, and judging the summary attribute and/or the push attribute of the task when the task with an opened starting state exists in the task list;
when the summary attribute is automatic summary, a task processing request corresponding to the task is sent to the task execution unit; and/or the presence of a gas in the gas,
when the pushing attribute is automatic pushing, sending a result pushing request to the task execution unit while sending the task processing request; or sending the result pushing request to the task execution unit after the processing result is obtained;
the task execution unit is connected with the task scanning unit and used for responding to the task processing request and acquiring object information and summary categories contained in the task processing request;
calling a data source interface, and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface;
processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information; and
and responding to the result pushing request, and pushing the processing result to the target terminal.
According to a fourth aspect of the present disclosure, there is provided a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the task processing method described above.
According to a fifth aspect of the present disclosure, there is provided an electronic apparatus, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the task processing method described above via execution of the executable instructions.
As can be seen from the foregoing technical solutions, the task processing method, the task processing apparatus, the task processing system, the computer storage medium, and the electronic device in the exemplary embodiments of the present disclosure have at least the following advantages and positive effects:
the task processing method in the disclosure is applied to a task execution unit in a task processing system, and the task processing system further comprises a task scanning unit; firstly, responding to a task processing request sent by a task scanning unit, and acquiring object information contained in the task processing request; then calling a data source interface to acquire data to be processed corresponding to the object information through the data source interface; and finally, processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information. The task processing method disclosed by the invention can realize automatic task processing on one hand, and avoids manual processing, so that the task processing efficiency is improved, and the cost is reduced; on the other hand, manual operation is avoided, so that the accuracy of information is ensured, and the accuracy of a processing result is further improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 shows a schematic diagram of a task processing system in an exemplary embodiment of the present disclosure;
FIG. 2 shows a flowchart of a task processing method in an exemplary embodiment of the present disclosure;
FIG. 3 illustrates a flow diagram for sending task processing requests in an exemplary embodiment of the present disclosure;
FIG. 4 illustrates an interface diagram for configuring a rollup task in an exemplary embodiment of the present disclosure;
FIG. 5 illustrates an interface diagram for configuring aggregation rules in an exemplary embodiment of the present disclosure;
FIG. 6 is a schematic diagram of an interface for editing a summary rule or adding a summary rule in an exemplary embodiment of the disclosure;
FIG. 7 illustrates an interface diagram for configuring aggregated latitudes in an exemplary embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of a task processing device in an exemplary embodiment of the present disclosure;
FIG. 9 shows a schematic diagram of a structure of a computer storage medium in an exemplary embodiment of the disclosure;
fig. 10 shows a schematic structural diagram of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
The terms "a," "an," "the," and "said" are used in this specification to denote the presence of one or more elements/components/parts/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.; the terms "first" and "second", etc. are used merely as labels, and are not limiting on the number of their objects.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
An exemplary system architecture to which the technical solution of the present disclosure is applied may specifically include a terminal device, a network, and a server. The terminal equipment can be terminal equipment with a display unit, such as a smart phone, a portable computer, a tablet computer and the like; the network may include various connection types, such as wired communication links, wireless communication links, and the like, and in the embodiments of the present disclosure, the network between the terminal device and the server may be a wireless communication link, and in particular, may be a mobile network.
It should be understood that the number of terminal devices, networks, and servers are merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. It is worth mentioning that the server in the present disclosure may be an independent server or a server cluster formed by a plurality of servers.
In the embodiment of the disclosure, a user may perform rule configuration through a terminal device, and upload the configured rule to a server through a network, so as to ensure that the server can obtain a rule corresponding to object information when performing task processing, and process to-be-processed data corresponding to the object information according to the rule to obtain a corresponding processing result. As shown in fig. 1, the task processing system 100 includes a task scanning unit 101 and a task execution unit 102, the task scanning unit 101 may scan a task at a preset time point, obtain a task list, generate a task processing request for a task that is automatically summarized according to a starting state in the task list, and further send the task processing request to the task execution unit; the task execution unit 102 responds to the task processing request and obtains object information contained therein, then calls the data source interface to obtain data to be processed corresponding to the object information, and finally processes the data to be processed based on a preset rule corresponding to the object information to obtain a processing result corresponding to the object information. Further, after acquiring the task list, the task scanning unit 101 may further determine a pushing state of each task in the task list, and when the pushing state is automatic pushing, send a result pushing request to the task execution unit, so that the task execution unit sends the processing result to the target terminal, so that the user can browse the processing result.
It should be noted that the terminal devices in the systematic architecture specifically include two types, one type is a terminal device used by a development user, and the other type is a terminal device used by a user corresponding to the object information in the task processing request. When pushing the processing result, the processing result may be pushed only to the terminal device used by the development user, or may be pushed to both the terminal device used by the development user and the terminal device used by the user corresponding to the object information in the task processing request.
The present disclosure first proposes a task processing method, which may be executed by a server or a terminal device used by a development user. Fig. 2 shows a flowchart of a task processing method, and as shown in fig. 2, the task processing method includes:
step S210: responding to a task processing request sent by a task scanning unit in the task processing system, and acquiring object information and summary categories contained in the task processing request;
step S220: calling a data source interface, and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface;
step S230: and processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information.
According to the task processing method, the data to be processed corresponding to the object information is processed based on the preset rule to obtain the corresponding processing result, so that on one hand, the automation of task processing can be realized, and further the task processing efficiency is improved; on the other hand, manual processing can be avoided, so that the cost is reduced, and the accuracy is improved.
The following describes each step of the task processing method in detail, with a task execution unit in the task processing system as an execution subject.
In step S210, in response to a task processing request sent by a task scanning unit in the task processing system, object information and summary categories included in the task processing request are obtained.
For convenience of description, the task processing method in the present disclosure is described with bill generation as a specific scenario of task processing. Correspondingly, the task processing request is a bill generation request, the object information is merchant information, the summary category is a cost subject latitude required when the bill is generated, the data to be processed is cost information corresponding to the cost subject latitude, and the processing result is the finally generated bill.
In an exemplary embodiment of the present disclosure, in order to clearly summarize the cost information of which merchants to generate corresponding bills, the task processing request necessarily includes the required merchant information, which may specifically be characteristic information uniquely corresponding to the merchants, such as merchant names and/or merchant numbers. Meanwhile, it is also necessary to clearly determine which expense subject latitudes are to be summarized to generate the bill, so the task processing request further includes a required summary category, which may be expense subject information such as an expense subject name and/or an expense subject code.
After receiving the task processing request sent by the task scanning unit, the task processing unit can respond to the task processing request and analyze the task processing request to obtain merchant information and summary categories contained in the task processing request.
In an exemplary embodiment of the disclosure, the task scanning unit may be triggered to perform task scanning at a preset time point, for example, a bill needs to be pushed to a merchant every month, and then the preset time point may be set to 24 points of the last day of every month, so that it may be ensured that the task scanning unit performs task scanning at 24 points of the last day of every month to obtain a task list, and implement periodic task automatic processing. The task list comprises tasks corresponding to the information of the multiple merchants, but according to the actual situation, some merchants do not need to push bills or gather bills for the merchants, so after the task list is obtained, the states of all tasks in the task list need to be judged, and further, task processing requests are generated in a targeted manner.
Fig. 3 is a schematic flowchart illustrating a process of sending a task processing request, and as shown in fig. 3, in step S301, a task scanning unit scans a task at a preset time point to obtain a task list and determines an enabling state of the task in the task list; in step S302, when there is a task whose enabled state is open, the summary attribute of the task is determined; in step S303, when the summary attribute of the task is auto-summary, a task processing request is generated according to the object information and the summary category corresponding to the task, and the task processing request is sent to the task execution unit.
The starting state of the task is the effectiveness of the task, when the starting state is opened, the task is effective and needs to be executed, and when the starting state is closed, the task is invalid and does not need to be executed. The summary attributes are divided into automatic summary and manual summary, when the summary attributes are automatic summary, the data of the required summary categories are automatically acquired for summary, and when the summary attributes are manual summary, the data of the required summary categories are acquired manually for summary.
In step S220, a data source interface is called, and the to-be-processed data corresponding to the object information and the summary category is obtained through the data source interface.
In an exemplary embodiment of the present disclosure, after determining the merchant information and the summary category, data corresponding to the merchant information and the summary category needs to be acquired, and the acquired data is summarized to generate a bill. Specifically, a data source interface may be called, and the data to be processed corresponding to the object information and the summary category may be acquired through the data source interface. In the embodiment of the present disclosure, the data source interface may be connected to a plurality of databases storing different types of data, and the data in the databases are stored in the form of tables, for example, for a merchant conducting a commodity transaction, the cost of the merchant may relate to a purchase price, a purchase quantity, a sale price, a sale quantity, and the like, and accordingly, data tables corresponding to each type of cost, such as a purchase price table, a purchase quantity table, a sale price table, and a sale quantity table, need to be set, so as to obtain cost information corresponding to the merchant from the data tables of the corresponding type according to the merchant information, where the obtained cost information is the data to be processed.
Further, each type of database may include cost information corresponding to a plurality of merchant information, so when to-be-processed data corresponding to the object information and the summary category is acquired through the data source interface, the object information may be first matched with candidate object information in each type of database (data table), and if target candidate object information matching the object information exists in each type of database, data corresponding to the target candidate object information and the summary category is acquired as to-be-processed data.
In step S230, the data to be processed is processed based on a preset rule to obtain a processing result corresponding to the object information.
In the exemplary embodiment of the present disclosure, after the data to be processed is obtained, the data to be processed may be processed according to the preset rule to obtain a final processing result. The preset rule may be a rule in a rule base set in advance, the rule base may include a plurality of rules for different application scenarios or businesses, or may also include a plurality of rules corresponding to the same application scenario or the same business, and further, when the same application scenario or the same business corresponds to the plurality of rules, the plurality of rules may be respectively set with priorities, and corresponding rules are selected according to the order of the priorities to process the data to be processed.
In an exemplary embodiment of the present disclosure, when a rule in the rule base corresponds to object information one by one, when a rule corresponding to the object information is acquired, the object information may be matched with candidate object information in the rule base, and when candidate object information matching the object information exists in the rule base, a target rule corresponding to the candidate object information is acquired, and the data to be processed is processed according to the target rule.
In an exemplary embodiment of the present disclosure, when the rule and the object information in the rule base are in a many-to-one correspondence relationship, when the rule corresponding to the object information is acquired, the object information may be matched with the rule in the rule base to acquire a plurality of candidate rules corresponding to the object information; and then acquiring the priority of each candidate rule, and processing the data to be processed corresponding to the object information based on the candidate rule with the highest priority. In the embodiment of the present disclosure, when configuring the priority of the rule, different manners may be adopted, for example, a form of "high, medium, low" may be adopted, and a form of a number may also be adopted, such as a number 1 representing the highest priority, and a number 2 representing the priority next to the highest priority, which are sequentially recurred. And after the priority of each candidate rule is obtained, comparing the candidate rules to obtain the candidate rule with the highest priority, and processing the data to be processed by adopting the candidate rule with the highest priority to obtain a final processing result.
In the exemplary embodiment of the present disclosure, after obtaining a final processing result, for a bill generation scenario, that is, after obtaining a bill, the task scanning unit 101 may be triggered to determine a pushing state of a task corresponding to a task processing request, when the pushing state of the task is automatic pushing, the task scanning unit sends a result pushing request to the task executing unit 102, and the task executing unit 102 responds to the result pushing request and may send a processing result (bill) to a target terminal, where the target terminal is a terminal device (terminal device used by a merchant) used by a user and corresponding to object information in the task processing request.
In an exemplary embodiment of the present disclosure, the push status may be configured simultaneously with the summary status, when the task scanning unit 101 determines the summary attribute of the task, the push attribute of the task may also be determined simultaneously, when the summary attribute of the task is auto summary and the push attribute of the task is auto push, the task scanning unit 101 sends a task processing request to the task executing unit 102 and sends a result push request to the task executing unit 102, so that the task executing unit 102 pushes the processing result to the target terminal after acquiring the processing result, or, after acquiring the processing result, the task scanning unit 101 sends a result push request to the task executing unit 102, so that the task executing unit 102 pushes the processing result to the target terminal.
When the summary attribute of the task is automatic summary but the pushing attribute of the task is non-automatic pushing, the processing result is obtained and then is not pushed to the target terminal, the processing result can be used for developing data analysis of the user, and if the merchant needs bills, the processing result can be pushed to terminal equipment used by the merchant manually.
In the exemplary embodiment of the disclosure, before processing the task, the developer may configure the task processing system accordingly, for example, may configure the task to be processed, the rule according to which the task is processed, and the like, so that the task execution unit can process the data to be processed based on the preset rule corresponding to the object information, and further obtain a final processing result.
The configuration of the task processing system in the present disclosure mainly includes the configuration of the summary task and the configuration of the summary rule. Fig. 4 is a schematic interface diagram illustrating a configuration summary task, and as shown in fig. 4, a plurality of function buttons, specifically, "query", "add", "edit", "activate", and "deactivate", are provided in the display interface. After the user inputs the merchant code, the merchant name, the expense account and the summary date in the editable frame, the user can browse the summary information corresponding to the input merchant information by clicking 'inquiry', as shown in a table below fig. 4, the summary information corresponding to the input merchant information is recorded, and the summary information comprises the merchant code, the merchant name, the expense account code, the expense account name, whether to automatically summarize, whether to automatically push, whether to summarize date and whether to start; when clicking 'newly added', the user can jump to a summary information editing page, and a new summary task is added by inputting related information by the user; the user can also select the existing summary task, and modify and add the information to be modified or added by clicking 'edit' to re-edit; the "activation" and "deactivation" can be used to control the effectiveness of the overall task, and the user can select all summary tasks to activate and deactivate, or select a portion of summary tasks to activate and deactivate.
In an exemplary embodiment of the present disclosure, the task scanning unit may specifically be a Clover task scheduling unit, which may trigger selectTasks to query whether there is a task in an enabled state after scanning and obtaining the task list, and if so, determine whether to automatically summarize or automatically push, and if so, execute a corresponding execute method to summarize and push a bill.
If the execute method to be executed is automatic summarization, the rule corresponding to the task needs to be queried, and if the rule base needs to be configured with the summarization rule corresponding to the task. Fig. 5 shows an interface schematic diagram for configuring a summarizing rule, as shown in fig. 5, a "query", "add", "edit", and "delete" function button is provided on a summarizing rule configuration interface, a user inputs a rule code, a rule name, and a merchant code, selects a merchant type and a cost subject, and then clicks "query", so as to obtain a summarizing rule corresponding to the selected merchant and the selected cost subject, as shown in a table below fig. 5, the summarizing rule specifically includes the rule code, the rule name, the rule description, the cost subject name, the merchant type, the cost subject, the merchant code, the priority, a summarizing group item and a remark, where the summarizing group item is a summarizing latitude item, which may be one summarizing latitude, or a plurality of summarizing latitudes; when clicking 'newly added', the user can jump to a summary rule editing page, and adds a new summary rule by inputting related information by the user, and can set one or more summary rules aiming at a merchant code and a cost subject; the user can also select the existing summary rule, and edit the summary rule by clicking 'edit', so as to modify the rule to be modified; further, the user may delete a selected rule by clicking "delete" after selecting the aggregation rule.
When the summarizing rule is edited or newly added, information of a plurality of latitudes can be set, fig. 6 shows an interface schematic diagram for editing the summarizing rule or newly adding the summarizing rule, as shown in fig. 6, two parts are arranged in a display interface, the first part is the information of the editing summarizing rule, and the information comprises rule codes, rule names, rule descriptions, merchant types, expense subjects, merchant codes and priority settings, further, the merchant types and the expense subjects can acquire all the merchant types and the expense subjects by clicking a pull-down menu key, and then the required merchant types and the expense subjects can be selected; the second part is summary latitude which includes latitude key value, latitude name, latitude description, and is mainly used to indicate where to obtain data and what latitude to summarize in automatic summarization, which can be understood as table name and summarization condition of summarization. It is worth to be noted that the rule codes and the merchant codes in the disclosure are both set by the development user according to a certain coding rule and correspond to different merchants and different rule contents, and both the merchant codes and the rule codes are different; the rule description is a brief description of the contents of the rule; the expense subjects are different according to different application scenes, and take the e-commerce platform as an example, the expense subjects can comprise storage service, medium and small piece B2B transportation, medium and small piece distribution, collection payment, storage loading and unloading, medium and small piece transfer, large piece transfer and the like; the priority is set by the developer according to actual needs, and when a plurality of summary rules corresponding to the same merchant conflict, the rule with the high priority takes effect. When the setting of the information is finished, clicking 'save' below the interface can finish the configuration of the rule, and the rule is stored in the rule base.
When the summary latitude is configured, the increase of the summary latitude can be realized by clicking the '+' on the right side of the summary latitude, but it is worth noting that when the summary latitude is set, a group of summary latitudes is in fixed configuration, the included latitude key value is table _ name, the latitude name is General, the latitude name is a General charging result, the table _ name is a special code, when the latitude key value is equal to the table _ name, the latitude name is an enumerated value of the data source system, and the latitude key value under other conditions is a summary condition. Fig. 7 shows an interface schematic diagram of configuring the summarized latitudes, as shown in fig. 7, two groups of summarized latitudes exist in the summarized latitude part, a latitude key value in the first group of summarized latitudes is seller _ no, a latitude name is a merchant code, and the second group of summarized latitudes is the fixed configuration, which indicates that when summarizing, corresponding data needs to be obtained from the seller _ no table as data to be processed under the condition that the merchant code is summarized, and then the data is summarized to form a bill.
The method can complete the configuration of the summary task and the summary rule by configuring according to the method, when the summary task is started, the task scanning unit sends a task processing request to the task execution unit on the day of the configured summary date, so that the task execution unit automatically summarizes according to the summary rule corresponding to the target merchant and the configured data source and the summary condition, and after the summary is successful, the bill is pushed to the terminal equipment of the target merchant according to the set automatic pushing function.
According to the method, the task execution unit firstly responds to the task processing request sent by the task scanning unit to acquire the object information contained in the task processing request; then calling a data source interface to acquire data to be processed corresponding to the object information through the data source interface; and finally, processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information. The task processing method disclosed by the invention can realize automatic task processing on one hand, and avoids manual processing, so that the task processing efficiency is improved, and the cost is reduced; on the other hand, manual operation is avoided, so that the accuracy of information is ensured, and the accuracy of a processing result is further improved. As a specific application scene, the bill generation is carried out by adopting the task processing method disclosed by the disclosure, so that automatic bill generation can be realized, the problems that in the bill generation period, a settlement person needs to manually collect bills and manually push the bills are solved, and the bill accuracy is further improved.
The present disclosure also provides a task processing device, fig. 8 shows a schematic structural diagram of a task processing device, the task processing device is configured in a task execution unit in a task processing system, and as shown in fig. 8, the task processing device 800 may include a request response module 801, a data acquisition module 802, and a data processing module 803. Wherein:
a request response module 801, configured to respond to a task processing request sent by a task scanning unit in the task processing system, and obtain object information and a summary category included in the task processing request;
a data obtaining module 802, configured to invoke a data source interface, and obtain, through the data source interface, to-be-processed data corresponding to the object information and the summary category;
a data processing module 803, configured to process the data to be processed based on a preset rule, so as to obtain a processing result corresponding to the object information.
In one embodiment of the present disclosure, the task processing device 800 further includes: the state judgment module is used for scanning the task at a preset time point through the task scanning unit to obtain a task list and judging the starting state of the task in the task list; when a task with an opening state exists, judging the summary attribute of the task; and when the summary attribute of the task is automatic summary, generating a task processing request according to the object information and the summary category corresponding to the task, and sending the task processing request to the task execution unit.
In one embodiment of the present disclosure, the data to be processed includes data of a plurality of latitudes; the data source interface is connected with a plurality of databases for storing different types of data; the data acquisition module 802 is configured to: matching the object information with candidate object information in each database;
and if the target candidate object information matched with the object information exists in the database, acquiring data corresponding to the target candidate object information and the summary category as the data to be processed.
In one embodiment of the present disclosure, the data processing module 803 is configured to: and matching the object information with candidate object information in a rule base, acquiring a target rule corresponding to the candidate object information when the candidate object information matched with the object information exists in the rule base, and processing to-be-processed data corresponding to the object information according to the target rule.
In one embodiment of the present disclosure, the data processing module 803 is further configured to: matching the object information with rules in a rule base to obtain a plurality of candidate rules corresponding to the object information;
and acquiring the priority of each candidate rule, and processing the data to be processed corresponding to the object information based on the candidate rule with the highest priority.
In one embodiment of the present disclosure, the task processing device 800 further includes: the pushing state judging module is used for judging the pushing state of the task corresponding to the task processing request through the task scanning unit;
and when the pushing state is automatic pushing, sending a result pushing request to the task execution unit so that the task processing unit responds to the result pushing request and sends the processing result to a target terminal.
In one embodiment of the present disclosure, the task processing device 800 is further configured to: when the summary attribute of the task is judged, the pushing attribute of the task is also judged;
when the pushing attribute of the task is automatic pushing, sending a result pushing request to the task execution unit while sending the task processing request; or after the processing result is obtained, the result pushing request is sent to the task execution unit.
In an embodiment of the present disclosure, the task is a bill generation task, the task processing request is a bill generation request, the object information is merchant information, the summary category is a cost subject latitude required when a bill is generated, the data to be processed is cost data corresponding to the cost subject latitude, and the processing result is the generated bill.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 900 according to this embodiment of the invention is described below with reference to fig. 9. The electronic device 900 shown in fig. 9 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.
As shown in fig. 9, the electronic device 900 is embodied in the form of a general purpose computing device. Components of electronic device 900 may include, but are not limited to: the at least one processing unit 910, the at least one storage unit 920, a bus 930 connecting different system components (including the storage unit 920 and the processing unit 910), and a display unit 940.
Wherein the storage unit stores program code that is executable by the processing unit 910 to cause the processing unit 910 to perform steps according to various exemplary embodiments of the present invention described in the above section "exemplary methods" of the present specification. For example, the processing unit 910 may perform step S210 as shown in fig. 2: responding to a task processing request sent by a task scanning unit in the task processing system, and acquiring object information and summary categories contained in the task processing request; step S220: calling a data source interface, and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface; step S230: and processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information.
The storage unit 920 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM)9201 and/or a cache memory unit 9202, and may further include a read only memory unit (ROM) 9203.
The electronic device 900 may also communicate with one or more external devices 1400 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 900, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 900 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interface 950. Also, the electronic device 900 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) via the network adapter 960. As shown, the network adapter 960 communicates with the other modules of the electronic device 900 via the bus 930. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 900, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
Referring to fig. 10, a program product 1000 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a 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.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A 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 (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.
A computer readable signal medium may include a propagated data signal with 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 readable signal medium may also be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like 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 computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (12)
1. A task processing method is applied to a task execution unit in a task processing system, and comprises the following steps:
responding to a task processing request sent by a task scanning unit in the task processing system, and acquiring object information and summary categories contained in the task processing request;
calling a data source interface, and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface;
and processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information.
2. The method of claim 1, wherein prior to responding to a task processing request sent by a task scanning unit, the method further comprises:
the task scanning unit scans the tasks at a preset time point to obtain a task list, and judges the starting state of the tasks in the task list;
when a task with an opening state exists, judging the summary attribute of the task;
and when the summary attribute of the task is automatic summary, generating a task processing request according to the object information and the summary category corresponding to the task, and sending the task processing request to the task execution unit.
3. The method of claim 1, wherein the data to be processed comprises data for a plurality of latitudes; the data source interface is connected with a plurality of databases for storing different types of data;
the acquiring, through the data source interface, the to-be-processed data corresponding to the object information and the summary category includes:
matching the object information with candidate object information in each database;
and if the target candidate object information matched with the object information exists in the database, acquiring data corresponding to the target candidate object information and the summary category as the data to be processed.
4. The method according to claim 1, wherein the processing the data to be processed based on the preset rule comprises:
and matching the object information with candidate object information in a rule base, acquiring a target rule corresponding to the candidate object information when the candidate object information matched with the object information exists in the rule base, and processing to-be-processed data corresponding to the object information according to the target rule.
5. The method according to claim 1, wherein the processing the data to be processed based on the preset rule comprises:
matching the object information with rules in a rule base to obtain a plurality of candidate rules corresponding to the object information;
and acquiring the priority of each candidate rule, and processing the data to be processed corresponding to the object information based on the candidate rule with the highest priority.
6. The method according to claim 1, wherein after acquiring the processing result corresponding to the object information, the method further comprises:
judging the pushing state of the task corresponding to the task processing request through the task scanning unit;
and when the pushing state is automatic pushing, sending a result pushing request to the task execution unit so that the task processing unit responds to the result pushing request and sends the processing result to a target terminal.
7. The method of claim 2, further comprising:
when the summary attribute of the task is judged, the pushing attribute of the task is also judged;
when the pushing attribute of the task is automatic pushing, sending a result pushing request to the task execution unit while sending the task processing request; or after the processing result is obtained, the result pushing request is sent to the task execution unit.
8. The method according to claim 1, wherein the task is a bill generation task, the task processing request is a bill generation request, the object information is merchant information, the summary category is a charge subject latitude required for generating a bill, the data to be processed is charge data corresponding to the charge subject latitude, and the processing result is the generated bill.
9. A task processing device, wherein a task execution unit arranged in a task processing system includes:
the request response module is used for responding to a task processing request sent by a task scanning unit in the task processing system and acquiring object information and summary categories contained in the task processing request;
the data acquisition module is used for calling a data source interface and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface;
and the data processing module is used for processing the data to be processed based on a preset rule so as to obtain a processing result corresponding to the object information.
10. A task processing system, comprising:
the task scanning unit is used for scanning a task at a preset time point to obtain a task list, and judging the summary attribute and/or the push attribute of the task when the task with an opened starting state exists in the task list;
when the summary attribute is automatic summary, a task processing request corresponding to the task is sent to the task execution unit; and/or the presence of a gas in the gas,
when the pushing attribute is automatic pushing, sending a result pushing request to the task execution unit while sending the task processing request; or sending the result pushing request to the task execution unit after the processing result is obtained;
the task execution unit is connected with the task scanning unit and used for responding to the task processing request and acquiring object information and summary categories contained in the task processing request;
calling a data source interface, and acquiring to-be-processed data corresponding to the object information and the summary category through the data source interface;
processing the data to be processed based on a preset rule to obtain a processing result corresponding to the object information; and
and responding to the result pushing request, and pushing the processing result to the target terminal.
11. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the task processing method of any one of claims 1 to 8.
12. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the task processing method of any one of claims 1 to 8 via execution of the executable instructions.
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