CN111583069A - Task data processing method and device - Google Patents
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Abstract
The application discloses a task data processing method and a device, wherein the method comprises the following steps: acquiring target task data corresponding to a target object; obtaining a target settlement scheme corresponding to target task data; acquiring task standard-reaching condition data corresponding to the target settlement scheme; matching the target task data with a plurality of discrimination indexes in the task standard-meeting condition data; and if the target task data does not match with at least one of the plurality of discriminants, determining the at least one discriminant as a non-settleable factor of the target object, and outputting the non-settleable factor. By using the method, the problems that the process of acquiring the cause of the non-settlement in the conventional commission settlement consumes more computing resources and time, and an effective feedback mechanism is lacked in the commission settlement process caused by indiscriminate display of the cause of the non-settlement can be avoided.
Description
Technical Field
The application relates to the technical field of computers, in particular to a task data processing method. The application also relates to a task data processing device, an electronic device and a computer readable storage medium.
Background
In the network application fields of network shopping platforms, life service network application platforms and the like, commission settlement is needed according to the task completion condition of related business personnel, for example, with the rapid development of new catering business of a local life service network application platform, the catering industry has gradually developed from the traditional internet catering standard mode taking service personnel as the center to scale, taking the O2O model of the catering industry as an example, in order to better provide services for merchants and users, a large number of offline business personnel need to perform offline store excavation according to a predetermined catering service strategy, that is, offline stores conforming to a predetermined food and drink service policy are developed into offline contract stores of a food and drink service platform, and commission settlement is performed thereon based on business data of business persons (e.g., mining task completion data of number, scale, quality, etc. of stores). In the process, as the strategy adjustment for the offline business is frequent, the corresponding commission settlement data also needs to be adjusted correspondingly to meet the requirement of business change, for example, a commission team needs to adjust the code of data cleaning by closely following the business change, and during bill settlement, indifferent data cleaning is performed through an ETL (extract, transform, load, etc.) which is used for describing the process of extracting (extract), converting (transform), and loading (load) the data from a source end to a destination end.
In the above process, the situation that the payment cannot be settled in time due to the fact that the service does not reach the standard may occur, in the prior art, when the reason that the commission cannot be settled is checked, the whole bill settlement link needs to be checked offline, the process consumes computing resources, and the consumed time is long; moreover, when the reason of the non-settlement is displayed for the business personnel, the data related to the business is displayed indiscriminately, so that the non-settlement reason is submerged in a large amount of display data, the business personnel cannot accurately and efficiently know the non-settlement reason, and an effective feedback mechanism is lacked in the commission settlement process, for example, the business personnel complain to a catering service platform under the condition that the business personnel cannot settle the account in time and cannot accurately and efficiently know the non-settlement reason, and the workload of the platform is increased.
Disclosure of Invention
The embodiment of the application provides a task data processing method, a task data processing device, electronic equipment and a computer-readable storage medium, and aims to solve the problems that computing resources are consumed and time consumption is long in the process of acquiring non-settlement reasons in the conventional commission settlement, and an effective feedback mechanism is lacked in the commission settlement process caused by indiscriminate display of the non-settlement reasons.
The embodiment of the application provides a task data processing method, which comprises the following steps:
acquiring target task data corresponding to a target object;
obtaining a target settlement scheme corresponding to the target task data;
acquiring task standard-reaching condition data corresponding to the target settlement scheme;
matching the target task data with a plurality of discrimination indexes in the task standard-meeting condition data;
and if the target task data does not match with at least one of the plurality of discriminants, determining the at least one discriminant as a non-settlement factor of the target object, and outputting the non-settlement factor.
Optionally, the obtaining of the target settlement scheme corresponding to the target task data includes: and matching the target task data with a preset scheme characteristic discrimination index to obtain a target settlement scheme corresponding to the target task data, wherein the scheme characteristic discrimination index is used for representing the characteristic attribute of the settlement scheme.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: obtaining a plurality of task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes contained in each of the plurality of task meeting condition data.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining the at least one criteria as a non-settleable factor of the target object includes: and if at least one identical judgment index is not matched with the target task data in each task standard-meeting condition data, determining the at least one identical judgment index as a non-settlement factor of the target object.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining at least one of the criteria as a non-settleable factor of the target object includes: and if each task meeting condition data comprises at least one discriminant index which is not matched with the target task data and at least one discriminant index is not the same discriminant index in the plurality of task meeting condition data, determining at least one discriminant index which is not matched with the target task data and is contained in each task meeting condition data as a non-settlement factor of the target object.
Optionally, the method further includes: if only a plurality of judgment indexes contained in one task meeting condition data are matched with the target task data in the plurality of task meeting condition data, determining that the target task data meet settlement conditions corresponding to the target settlement scheme; and calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the method further includes: and if a plurality of judgment indexes contained in at least two task meeting condition data in the plurality of task meeting condition data are matched with the target task data, determining that the target task data does not meet the settlement condition corresponding to the target settlement scheme.
Optionally, the method further includes: and determining that configuration errors occur to a plurality of task standard-reaching condition data corresponding to the target settlement scheme, determining the configuration errors as non-settlement factors of the target object, and outputting the non-settlement factors.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: acquiring unique task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes in the unique task standard-reaching condition data.
Optionally, the method further includes: if a plurality of judgment indexes in the unique task standard-meeting condition data are matched with the target task data, determining that the target task data meet settlement conditions corresponding to the target settlement scheme; and calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the outputting the non-settlement factor includes: and displaying the non-settlement factor on a bill display page corresponding to the target object.
An embodiment of the present application further provides a task data processing apparatus, including:
the target task data acquisition unit is used for acquiring target task data corresponding to a target object;
the target settlement scheme obtaining unit is used for obtaining a target settlement scheme corresponding to the target task data;
a task standard-reaching condition data obtaining unit, configured to obtain task standard-reaching condition data corresponding to the target settlement scheme;
a discriminant index matching unit, configured to match the target task data with a plurality of discriminant indexes in the task compliance data;
a non-settlement factor determining and outputting unit configured to determine at least one of the plurality of criteria as a non-settlement factor of the target object and output the non-settlement factor when the target task data does not match the at least one of the plurality of criteria.
Optionally, the obtaining of the target settlement scheme corresponding to the target task data includes: and matching the target task data with a preset scheme characteristic discrimination index to obtain a target settlement scheme corresponding to the target task data, wherein the scheme characteristic discrimination index is used for representing the characteristic attribute of the settlement scheme.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: obtaining a plurality of task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes contained in each of the plurality of task meeting condition data.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining the at least one criteria as a non-settleable factor of the target object includes: and if at least one identical judgment index is not matched with the target task data in each task standard-meeting condition data, determining the at least one identical judgment index as a non-settlement factor of the target object.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining the at least one criteria as a non-settleable factor of the target object includes: and if each task meeting condition data comprises at least one discriminant index which is not matched with the target task data and is not the same discriminant index in the plurality of task meeting condition data, determining at least one discriminant index which is not matched with the target task data and is contained in each task meeting condition data as a non-settlement factor of the target object.
Optionally, the apparatus further comprises: a settlement condition determining unit, configured to determine that the target task data satisfies a settlement condition corresponding to the target settlement scheme when a plurality of criteria included in only one task meeting condition data of the plurality of task meeting condition data matches the target task data;
and the task settlement data obtaining unit is used for calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the apparatus further comprises: and the settlement condition determining unit is used for determining that the target task data does not meet the settlement condition corresponding to the target settlement scheme when a plurality of discrimination indexes contained in at least two task meeting condition data in the plurality of task meeting condition data are matched with the target task data.
The device also includes: and the configuration error determining unit is used for determining that configuration errors occur to the plurality of task standard-reaching condition data corresponding to the target settlement scheme, determining the configuration errors as the non-settlement factors of the target object, and outputting the non-settlement factors.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: acquiring unique task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes in the unique task standard-reaching condition data.
Optionally, the apparatus further comprises: a settlement condition determining unit, configured to determine that the target task data satisfies a settlement condition corresponding to the target settlement scheme when all of the plurality of criteria in the unique task meeting condition data match the target task data;
and the task settlement data obtaining unit is used for calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the outputting the non-settlement factor includes: and displaying the non-settlement factor on a bill display page corresponding to the target object.
Further embodiments of the present application also provide an electronic device comprising a processor and a memory; wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the above-described method.
Further embodiments of the present application also provide a computer-readable storage medium having stored thereon one or more computer instructions which are executed by a processor to implement the above-described method.
Compared with the prior art, the embodiment of the application has the following advantages:
according to the task data processing method provided by the embodiment of the application, after target task data of a target object are obtained, a target settlement scheme corresponding to the target task data is obtained, task standard condition data corresponding to the target settlement scheme is obtained, the target task data is matched with a plurality of judgment indexes in the task standard condition data, if the target task data is not matched with at least one judgment index in the judgment indexes, the at least one judgment index is determined as a non-settlement factor of the target object, and the non-settlement factor is output. The method can synchronously obtain the reason of the target task data which cannot be settled in the pricing settlement process of the target task data, does not need to carry out off-line investigation on the whole bill settlement link, can save computing resources and reduce time consumption; the obtained non-settlement factor is a discriminant index which is not matched with the target task data, the discriminant index is output, the non-settlement reason can be prominently displayed in the bill data, and business personnel can efficiently and accurately know the non-settlement reason. By using the method, the problems that the process of acquiring the cause of the non-settlement in the conventional commission settlement consumes more computing resources and time, and an effective feedback mechanism is lacked in the commission settlement process caused by indiscriminate display of the cause of the non-settlement can be avoided.
Drawings
Fig. 1 is a flowchart of a data processing method according to a first embodiment of the present application;
FIG. 1-A is a schematic diagram of a target task data matching process provided in a first embodiment of the present application;
FIG. 2 is a block diagram of elements of a data processing apparatus according to a second embodiment of the present application;
fig. 3 is a schematic logical structure diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of implementation in many different ways than those herein set forth and of similar import by those skilled in the art without departing from the spirit of this application and is therefore not limited to the specific implementations disclosed below.
Aiming at a settlement scene of task data, in order to avoid recalling and even losing resources due to misunderstanding of the demand of a commission settlement team on a business and effectively guarantee the time and quality for checking the reason of non-settlement, the application provides a data processing method, a data processing device, an electronic device and a computer readable storage medium corresponding to the method. The following provides embodiments for detailed description of the method, apparatus, electronic device, and computer-readable storage medium.
A first embodiment of the present application provides a data processing method, an application body of the method may be a computing device application for executing task data settlement operations, fig. 1 is a flowchart of the task data settlement method provided in the first embodiment of the present application, and the method provided in this embodiment is described in detail below with reference to fig. 1. The following description refers to embodiments for the purpose of illustrating the principles of the methods, and is not intended to be limiting in actual use.
As shown in fig. 1, the data processing method provided in this embodiment includes the following steps:
and S101, obtaining target task data corresponding to the target object.
The target object refers to a task implementation subject, and the target task data refers to data related to a task execution process and an execution result of the task implementation subject, and can be used as basic data for commission settlement of the target object. In the local life network service application, the target object may refer to a business person who completes offline business expansion, and the target task data may refer to data generated by the business person in an offline business expansion process, for example, business data generated in a process that the business person develops an offline store meeting a predetermined catering service policy into an offline cooperation store of a catering service platform may include data such as identity attribute information of the business person, the number of signed stores, an area to which the store belongs, store scale, quality, signing time, and the like, and after submitting business data within a predetermined time period, the business person may perform a corresponding commission settlement operation for the business data.
And S102, obtaining a target settlement scheme corresponding to the target task data.
After the target task data corresponding to the target object is obtained in the above step, the step is used for determining a target settlement scheme corresponding to the target task data. The settlement scheme is a settlement framework which is set for a specific service scene and used for coarse-grained limitation of task data, can limit summary information such as identity attributes, task categories, task grades and the like of task implementation bodies corresponding to the task data, and provides a pricing settlement mode applicable to the task data meeting the limiting conditions. For example, the target settlement scenario may be a "settlement scenario for an offline business person signing up for a dinning store".
In this embodiment, the target settlement scenario may be obtained by matching the target task data with a predetermined scenario feature criteria, where the scenario feature criteria is used to represent feature attributes of the settlement scenario, that is, each settlement scenario corresponds to a unique feature attribute, and different settlement scenarios correspond to different feature criteria, for example, the feature criteria "settlement target" corresponding to the settlement scenario a: the offline service personnel indicates that the settlement scheme A is a settlement scheme aiming at the offline service personnel, and the characteristic discrimination index corresponding to the settlement scheme B is a settlement object: the service supervisor' indicates that the settlement scheme B is a settlement scheme for the marketing supervisor. As shown in fig. 1-a, the target task data is respectively matched with a plurality of feature discrimination indexes corresponding to different settlement schemes to obtain the feature discrimination index corresponding to the target task data, so that the target settlement scheme corresponding to the feature discrimination index can be determined accordingly.
And S103, acquiring task standard-reaching condition data corresponding to the target settlement scheme.
After the target settlement scheme corresponding to the target task data is determined in the above steps, the step is used for obtaining task meeting condition data corresponding to the target settlement scheme, wherein the task meeting condition data is further refined and expanded for the target settlement scheme, and can be represented as one or more corresponding matching links under the target settlement scheme. In this embodiment, the task meeting condition data corresponding to the target settlement scheme is to-be-matched data configured in advance for an application scenario of the target settlement scheme, and the to-be-matched data is used to determine whether the input task data is applicable to the target settlement scheme, that is, after the target settlement scheme corresponding to the target task data is determined, it is further determined whether the pricing settlement can be performed on the target task data through a pricing settlement manner corresponding to the target settlement scheme according to the task meeting condition data corresponding to the target settlement scheme, and only when the target task data meets the task meeting condition data corresponding to the target settlement scheme, the pricing settlement can be performed on the target task data according to the target settlement scheme.
The target settlement scheme can correspond to a plurality of task standard-reaching condition data and can also correspond to the only task standard-reaching condition data. In other words, at the data configuration stage of the commission settlement link, one or more task standard-reaching condition data can be configured in advance based on task execution scenes to which the target settlement scheme is applicable, each task execution scene can correspond to unique task standard-reaching condition data, the task execution scene can be divided based on different data such as task execution time period, task execution location, task execution difficulty and the like, different matching conditions are configured for different task execution scenes, each task data only needs to be matched with one task standard-reaching condition data, and the target settlement scheme can be applicable to various task data under various task execution scenes. For example, the target settlement scenario may be a settlement scenario for the offline service person signing a main meal store, and the corresponding task meeting condition data may be "a task meeting condition that needs to be met by the offline service person when executing the signing a main meal store in a hot spot area", "a task meeting condition that needs to be met by the offline service person when executing the signing a main meal store in a cold spot area", "a task meeting condition that needs to be met by the offline service person when executing the signing a main meal store in the early month", "a task meeting condition that needs to be met by the offline service person when executing the signing a main meal store in the end of the month", and the like.
Because the task reaching-standard condition data is to-be-matched data configured in advance based on the task execution scene applicable to the target settlement scheme, the only task publishing condition data or the plurality of task reaching-standard condition data corresponding to the target settlement scheme can be obtained after the target settlement scheme corresponding to the target task data is determined.
And S104, matching the target task data with a plurality of discrimination indexes in the task standard-meeting condition data.
After the task standard-reaching condition data corresponding to the target settlement scheme is obtained in the steps, the target task data is matched with a plurality of judgment indexes in the task standard-reaching condition data to obtain an index matching result. That is, the above-mentioned process of determining whether the target task data can be invoiced and settled by the invoicing settlement manner corresponding to the target settlement scheme according to the task meeting-standard condition data corresponding to the target settlement scheme is implemented by matching the target task data with a plurality of discrimination indexes in the task meeting-standard condition data.
The judgment indexes are used for representing specific matching items contained in the task meeting condition data and are a detailed component of the task meeting condition data, namely the task meeting condition data consists of a plurality of judgment indexes. For example, the task meeting condition data is a task meeting condition that needs to be met when an offline service worker signs a contract with a main restaurant in a hot spot area, and the included criterion may be a criterion for the following items: the store category judgment index is used for judging whether the store signed by the service personnel in the target task data is a catering store or not; the store secondary category judgment index is used for judging whether the signed store is a store of a specified catering category, for example, whether the signed store is one of categories such as pre-specified buffet, Chinese meal, western meal, hot pot, Japanese and Korean cuisine, barbecue, southeast Asia dish and the like; the false transaction judging index is used for judging whether a signed store has a false transaction phenomenon or not; the judgment index of the full refund is used for judging whether the signed store is the user full refund after providing the false service; the day signing index is used for judging whether the signing store is a day instant signing store or not; the business personnel working area judgment index is used for judging whether the working area of the business personnel is a hot spot area; the service type judging index is used for judging whether the task executed by the service personnel is consistent with the service type of the service personnel; the task completion rate judging index is used for judging whether the business personnel complete the specified task within the appointed time; and adding a store number judgment index for judging whether the number of newly signed stores meets the specified number within a preset time period by service personnel.
In this embodiment, if the task meeting-standard condition data obtained in step S103 is a plurality of task meeting-standard condition data corresponding to the target settlement scheme, matching the target task data with a plurality of criteria in the task meeting-standard condition data in this step may be: the method comprises the steps of respectively matching a plurality of judgment indexes contained in target task data and each of a plurality of task standard-meeting condition data to obtain an index matching result between the target task data and the plurality of index data contained in the plurality of task standard-meeting condition data, wherein the plurality of task standard-meeting condition data can contain the same type of judgment indexes, for example, the judgment indexes such as store category judgment indexes, store secondary category judgment indexes, false transaction judgment indexes and the like are contained in the task standard-meeting condition which needs to be met by offline service personnel when signing a main meal store in a hot spot area and the task standard-meeting condition which needs to be met by the offline service personnel when signing a main meal store in the early month.
If the task meeting-standard condition data obtained in the step S103 is the only task meeting-standard condition data corresponding to the target settlement scheme, the target task data is matched with the multiple discriminant indexes in the task meeting-standard condition data in this step, that is, the target task data is respectively matched with the multiple discriminant indexes in the only task meeting-standard condition data, so as to obtain an index matching result between the target task data and the multiple index data included in the only task meeting-standard condition data.
And S105, if the target task data is not matched with at least one of the plurality of judgment indexes, determining the at least one judgment index as a non-settlement factor of the target object, and outputting the non-settlement factor.
After the target task data is matched with a plurality of discriminant indexes in the task standard-reaching condition data, the step determines a corresponding settlement strategy according to the matching result, when the target task data is not matched with at least one discriminant index in the plurality of discriminant indexes, the at least one discriminant index which is not matched is determined as a non-settlement factor of the target object, and the non-settlement factor is output and is used for the target object to know the reason why the target object is not allowed to settle. For example, after the target task data is matched with a plurality of discriminant indexes included in each of the plurality of task achievement condition data, if at least one identical discriminant index included in each of the plurality of task achievement condition data is not matched with the target task data, that is, the plurality of task achievement condition data includes a non-matching discriminant index, and the non-matching discriminant label is a discriminant label of the same type in each of the plurality of task achievement condition data, the at least one identical discriminant index is determined as a non-settlement factor of the target object. And if each task standard-meeting condition data comprises at least one judgment index which is not matched with the target task data and the unmatched judgment index is not the same judgment index in the plurality of task standard-meeting condition data, determining at least one judgment index which is not matched with the target task data and is contained in each task standard-meeting condition data as a non-settlement factor of the target object. And when the unmatched at least one judgment index is determined as the non-settlement factor of the target object and the non-settlement factor is output, the unmatched data content corresponding to the non-settlement factor in the target task data can be correspondingly output so as to be checked and corrected by the user.
It should be noted that, if only a plurality of criteria included in one of the plurality of task meeting condition data matches the target task data, it is determined that the target task data meets the settlement condition corresponding to the target settlement scheme, and the task settlement data corresponding to the target object is obtained through calculation according to the target settlement scheme and the target task data. If a plurality of judgment indexes contained in at least two task meeting condition data in the plurality of task meeting condition data are matched with target task data, determining that the target task data do not meet settlement conditions corresponding to a target settlement scheme, determining that a plurality of task meeting condition data corresponding to the target settlement scheme are configured wrongly, determining the configuration mistake as a non-settlement factor of a target object, and outputting the non-settlement factor. In this case, the information for identifying the configuration error may be further output, so that the configurator of the task meeting-standard condition data updates and configures the task meeting-standard condition data corresponding to the target settlement scheme according to the information of the configuration error.
When the task meeting condition data obtained in the step S103 is the only task meeting condition data corresponding to the target settlement scheme, after matching the target task data with the multiple criteria in the only task meeting condition data, if the target task data and the multiple criteria in the only task meeting condition data are all matched with each other, determining that the target task data meets the settlement condition corresponding to the target settlement scheme, and calculating to obtain the task settlement data corresponding to the target object according to the target settlement scheme and the target task data; and if the target task data is not matched with at least one judgment index in the only task standard-meeting condition data, determining that the unmatched judgment index is a non-settlement factor.
The outputting the non-settlement factor may be displaying the non-settlement factor on a bill display page corresponding to the target object, for example, after the business person does not have permission to settle, the business person may efficiently and accurately know the reason why the business person cannot settle by looking up the bill display page.
As shown in fig. 1-a, this embodiment provides a task data processing method, after target task data of a target object is obtained, a target settlement scheme corresponding to the target task data is obtained first, task achievement condition data corresponding to the target settlement scheme is obtained, the target task data is matched with a plurality of criteria in the task achievement condition data, if the target task data does not match with at least one of the criteria, the at least one criteria is determined as a non-settlement factor of the target object, and the non-settlement factor is output. The method can synchronously obtain the reason of the target task data which cannot be settled in the pricing settlement process of the target task data, does not need to carry out off-line investigation on the whole bill settlement link, can save computing resources and reduce time consumption; by outputting the obtained non-settlement factors, the non-settlement reasons can be prominently displayed in the bill data, and business personnel can accurately and efficiently know the non-settlement reasons. By using the method, the problems that the process of acquiring the cause of the non-settlement in the conventional commission settlement consumes more computing resources and time, and an effective feedback mechanism is lacked in the commission settlement process caused by indiscriminate display of the cause of the non-settlement can be avoided.
The second embodiment of the present application further provides a task data processing apparatus, since the apparatus embodiment is substantially similar to the method embodiment, and therefore the description is relatively simple, and the details of the related technical features can be found in the corresponding description of the method embodiment provided above, and the following description of the apparatus embodiment is only illustrative.
Referring to fig. 2 to understand the embodiment, fig. 2 is a block diagram of a task data processing apparatus provided in the embodiment, and as shown in fig. 2, the apparatus provided in the embodiment includes:
a target task data obtaining unit 201, configured to obtain target task data corresponding to a target object;
a target settlement scheme obtaining unit 202, configured to obtain a target settlement scheme corresponding to the target task data;
a task meeting condition data obtaining unit 203, configured to obtain task meeting condition data corresponding to the target settlement scheme;
a criterion index matching unit 204, configured to match the target task data with a plurality of criterion indexes in the task compliance condition data;
a non-settlement factor determining and outputting unit 205 configured to determine at least one of the plurality of criteria as a non-settlement factor of the target object when the target task data does not match the at least one of the plurality of criteria, and output the non-settlement factor.
Optionally, the obtaining of the target settlement scheme corresponding to the target task data includes: and matching the target task data with a preset scheme characteristic discrimination index to obtain a target settlement scheme corresponding to the target task data, wherein the scheme characteristic discrimination index is used for representing the characteristic attribute of the settlement scheme.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: obtaining a plurality of task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes contained in each of the plurality of task meeting condition data.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining the at least one criteria as a non-settleable factor of the target object includes: and if at least one identical judgment index is not matched with the target task data in each task standard-meeting condition data, determining the at least one identical judgment index as a non-settlement factor of the target object.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining the at least one criteria as a non-settleable factor of the target object includes: and if each task meeting condition data comprises at least one discriminant index which is not matched with the target task data and is not the same discriminant index in the plurality of task meeting condition data, determining at least one discriminant index which is not matched with the target task data and is contained in each task meeting condition data as a non-settlement factor of the target object.
Optionally, the apparatus further comprises: a settlement condition determining unit, configured to determine that the target task data satisfies a settlement condition corresponding to the target settlement scheme when a plurality of criteria included in only one task meeting condition data of the plurality of task meeting condition data matches the target task data;
and the task settlement data obtaining unit is used for calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the apparatus further comprises: and the settlement condition determining unit is used for determining that the target task data does not meet the settlement condition corresponding to the target settlement scheme when a plurality of discrimination indexes contained in at least two task meeting condition data in the plurality of task meeting condition data are matched with the target task data.
The device also includes: and the configuration error determining unit is used for determining that configuration errors occur to the plurality of task standard-reaching condition data corresponding to the target settlement scheme, determining the configuration errors as the non-settlement factors of the target object, and outputting the non-settlement factors.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: acquiring unique task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes in the unique task standard-reaching condition data.
Optionally, the apparatus further comprises: a settlement condition determining unit, configured to determine that the target task data satisfies a settlement condition corresponding to the target settlement scheme when all of the plurality of criteria in the unique task meeting condition data match the target task data;
and the task settlement data obtaining unit is used for calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the outputting the non-settlement factor includes: and displaying the non-settlement factor on a bill display page corresponding to the target object.
By using the task data processing device provided by the embodiment, the reason why the target task data cannot be settled can be synchronously obtained in the pricing settlement process of the target task data, the whole bill settlement link does not need to be examined offline, the calculation resources can be saved, and the time consumption is reduced; by outputting the obtained non-settlement factors, the non-settlement reasons can be prominently displayed in the bill data, business personnel can accurately and efficiently know the non-settlement reasons, and the problems that the process of acquiring the non-settlement reasons in the conventional commission settlement consumes more computing resources and time and an effective feedback mechanism is lacked in the commission settlement process caused by indiscriminate display of the non-settlement reasons can be avoided.
In the embodiments described above, a task data processing method and a task data processing apparatus are provided, and in addition, a third embodiment of the present application also provides an electronic device, which is basically similar to the method embodiment and therefore is relatively simple to describe, and the details of the related technical features may be obtained by referring to the corresponding description of the method embodiment provided above, and the following description of the embodiment of the electronic device is only illustrative. The embodiment of the electronic equipment is as follows:
please refer to fig. 3 for understanding the present embodiment, fig. 3 is a schematic diagram of an electronic device provided in the present embodiment.
As shown in fig. 3, the electronic device provided in this embodiment includes: a processor 301 and a memory 302;
the memory 302 is used for storing computer instructions of a task data settlement method, and when the computer instructions are read and executed by the processor 301, the following operations are executed:
acquiring target task data corresponding to a target object;
obtaining a target settlement scheme corresponding to the target task data;
acquiring task standard-reaching condition data corresponding to the target settlement scheme;
matching the target task data with a plurality of discrimination indexes in the task standard-meeting condition data;
and if the target task data does not match with at least one of the plurality of discriminants, determining the at least one discriminant as a non-settlement factor of the target object, and outputting the non-settlement factor.
Optionally, the obtaining of the target settlement scheme corresponding to the target task data includes: and matching the target task data with a preset scheme characteristic discrimination index to obtain a target settlement scheme corresponding to the target task data, wherein the scheme characteristic discrimination index is used for representing the characteristic attribute of the settlement scheme.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: obtaining a plurality of task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes contained in each of the plurality of task meeting condition data.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining the at least one criteria as a non-settleable factor of the target object includes: and if at least one identical judgment index is not matched with the target task data in each task standard-meeting condition data, determining the at least one identical judgment index as a non-settlement factor of the target object.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining at least one of the criteria as a non-settleable factor of the target object includes: and if each task meeting condition data comprises at least one discriminant index which is not matched with the target task data and at least one discriminant index is not the same discriminant index in the plurality of task meeting condition data, determining at least one discriminant index which is not matched with the target task data and is contained in each task meeting condition data as a non-settlement factor of the target object.
Optionally, the method further includes: if only a plurality of judgment indexes contained in one task meeting condition data are matched with the target task data in the plurality of task meeting condition data, determining that the target task data meet settlement conditions corresponding to the target settlement scheme; and calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the method further includes: and if a plurality of judgment indexes contained in at least two task meeting condition data in the plurality of task meeting condition data are matched with the target task data, determining that the target task data does not meet the settlement condition corresponding to the target settlement scheme.
Optionally, the method further includes: and determining that configuration errors occur to a plurality of task standard-reaching condition data corresponding to the target settlement scheme, determining the configuration errors as non-settlement factors of the target object, and outputting the non-settlement factors.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: acquiring unique task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes in the unique task standard-reaching condition data.
Optionally, the method further includes: if a plurality of judgment indexes in the unique task standard-meeting condition data are matched with the target task data, determining that the target task data meet settlement conditions corresponding to the target settlement scheme; and calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the outputting the non-settlement factor includes: and displaying the non-settlement factor on a bill display page corresponding to the target object.
By using the electronic equipment provided by the embodiment, the reason why the target task data cannot be settled can be synchronously obtained in the pricing settlement process of the target task data, the whole bill settlement link does not need to be examined offline, the calculation resources can be saved, and the time consumption is reduced; by outputting the obtained non-settlement factors, the non-settlement reasons can be prominently displayed in the bill data, business personnel can accurately and efficiently know the non-settlement reasons, and the problems that the process of acquiring the non-settlement reasons in the conventional commission settlement consumes more computing resources and time and an effective feedback mechanism is lacked in the commission settlement process caused by indiscriminate display of the non-settlement reasons can be avoided.
In the above embodiments, a task data processing method, a task data processing apparatus, and an electronic device are provided, and in addition, a fourth embodiment of the present application also provides a computer readable storage medium for implementing the task data processing method. The embodiments of the computer-readable storage medium provided in the present application are described relatively simply, and for relevant portions, reference may be made to the corresponding descriptions of the above method embodiments, and the embodiments described below are merely illustrative.
The present embodiments provide a computer readable storage medium having stored thereon computer instructions that, when executed by a processor, perform the steps of:
acquiring target task data corresponding to a target object;
obtaining a target settlement scheme corresponding to the target task data;
acquiring task standard-reaching condition data corresponding to the target settlement scheme;
matching the target task data with a plurality of discrimination indexes in the task standard-meeting condition data;
and if the target task data does not match with at least one of the plurality of discriminants, determining the at least one discriminant as a non-settlement factor of the target object, and outputting the non-settlement factor.
Optionally, the obtaining of the target settlement scheme corresponding to the target task data includes: and matching the target task data with a preset scheme characteristic discrimination index to obtain a target settlement scheme corresponding to the target task data, wherein the scheme characteristic discrimination index is used for representing the characteristic attribute of the settlement scheme.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: obtaining a plurality of task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes contained in each of the plurality of task meeting condition data.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining the at least one criteria as a non-settleable factor of the target object includes: and if at least one identical judgment index is not matched with the target task data in each task standard-meeting condition data, determining the at least one identical judgment index as a non-settlement factor of the target object.
Optionally, if the target task data does not match with at least one of the plurality of criteria, determining at least one of the criteria as a non-settleable factor of the target object includes: and if each task meeting condition data comprises at least one discriminant index which is not matched with the target task data and at least one discriminant index is not the same discriminant index in the plurality of task meeting condition data, determining at least one discriminant index which is not matched with the target task data and is contained in each task meeting condition data as a non-settlement factor of the target object.
Optionally, the method further includes: if only a plurality of judgment indexes contained in one task meeting condition data are matched with the target task data in the plurality of task meeting condition data, determining that the target task data meet settlement conditions corresponding to the target settlement scheme; and calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the method further includes: and if a plurality of judgment indexes contained in at least two task meeting condition data in the plurality of task meeting condition data are matched with the target task data, determining that the target task data does not meet the settlement condition corresponding to the target settlement scheme.
Optionally, the method further includes: and determining that configuration errors occur to a plurality of task standard-reaching condition data corresponding to the target settlement scheme, determining the configuration errors as non-settlement factors of the target object, and outputting the non-settlement factors.
Optionally, the obtaining of the task meeting condition data corresponding to the target settlement scheme includes: acquiring unique task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes: and matching the target task data with a plurality of discrimination indexes in the unique task standard-reaching condition data.
Optionally, the method further includes: if a plurality of judgment indexes in the unique task standard-meeting condition data are matched with the target task data, determining that the target task data meet settlement conditions corresponding to the target settlement scheme; and calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
Optionally, the outputting the non-settlement factor includes: and displaying the non-settlement factor on a bill display page corresponding to the target object.
By executing the computer instructions stored in the computer-readable storage medium provided by the embodiment, the cause of non-settlement of the target task data can be synchronously obtained in the pricing settlement process of the target task data, offline investigation on the whole bill settlement link is not needed, the computing resources can be saved, and the time consumption is reduced; by outputting the obtained non-settlement factors, the non-settlement reasons can be prominently displayed in the bill data, business personnel can accurately and efficiently know the non-settlement reasons, and the problems that the process of acquiring the non-settlement reasons in the conventional commission settlement consumes more computing resources and time and an effective feedback mechanism is lacked in the commission settlement process caused by indiscriminate display of the non-settlement reasons can be avoided. In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
1. Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
2. As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.
Claims (10)
1. A method for processing task data, comprising:
acquiring target task data corresponding to a target object;
obtaining a target settlement scheme corresponding to the target task data;
acquiring task standard-reaching condition data corresponding to the target settlement scheme;
matching the target task data with a plurality of discrimination indexes in the task standard-meeting condition data;
and if the target task data does not match with at least one of the plurality of discriminants, determining the at least one discriminant as a non-settlement factor of the target object, and outputting the non-settlement factor.
2. The method according to claim 1, wherein the obtaining of the target settlement scheme corresponding to the target task data comprises:
and matching the target task data with a preset scheme characteristic discrimination index to obtain a target settlement scheme corresponding to the target task data, wherein the scheme characteristic discrimination index is used for representing the characteristic attribute of the settlement scheme.
3. The method of claim 1, wherein the obtaining task achievement condition data corresponding to the target settlement scheme comprises:
obtaining a plurality of task standard-reaching condition data corresponding to the target settlement scheme;
the matching the target task data with the plurality of discriminant indicators in the task meeting-criteria data includes:
and matching the target task data with a plurality of discrimination indexes contained in each of the plurality of task meeting condition data.
4. The method of claim 3, wherein determining at least one of the plurality of metrics as a non-settleable factor for the target object if the target task data does not match the at least one of the plurality of metrics comprises:
and if at least one identical judgment index is not matched with the target task data in each task standard-meeting condition data, determining the at least one identical judgment index as a non-settlement factor of the target object.
5. The method of claim 3, wherein determining at least one of the plurality of metrics as a non-settleable factor for the target object if the target task data does not match the at least one of the plurality of metrics comprises:
and if each task achievement condition data comprises at least one discriminant index which is not matched with the target task data and is not the same discriminant index in the plurality of task achievement condition data, determining the at least one discriminant index which is not matched with the target task data and is contained in each task achievement condition data as a non-settlement factor of the target object.
6. The method of claim 3, further comprising:
if only a plurality of judgment indexes contained in one task meeting condition data are matched with the target task data in the plurality of task meeting condition data, determining that the target task data meet settlement conditions corresponding to the target settlement scheme;
and calculating and obtaining task settlement data corresponding to the target object according to the target settlement scheme and the target task data.
7. The method of claim 3, further comprising:
and if a plurality of judgment indexes contained in at least two task meeting condition data in the plurality of task meeting condition data are matched with the target task data, determining that the target task data does not meet the settlement condition corresponding to the target settlement scheme.
8. A task data processing apparatus, characterized by comprising:
the target task data acquisition unit is used for acquiring target task data corresponding to a target object;
the target settlement scheme obtaining unit is used for obtaining a target settlement scheme corresponding to the target task data;
a task standard-reaching condition data obtaining unit, configured to obtain task standard-reaching condition data corresponding to the target settlement scheme;
a discriminant index matching unit, configured to match the target task data with a plurality of discriminant indexes in the task compliance data;
a non-settlement factor determining and outputting unit configured to determine at least one of the plurality of criteria as a non-settlement factor of the target object and output the non-settlement factor when the target task data does not match the at least one of the plurality of criteria.
9. An electronic device comprising a processor and a memory; wherein the content of the first and second substances,
the memory is to store one or more computer instructions, wherein the one or more computer instructions are to be executed by the processor to implement the method of claims 1-7.
10. A computer-readable storage medium having stored thereon one or more computer instructions for execution by a processor to perform the method of claims 1-7.
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Application publication date: 20200825 |