CN117240907B - Function management method and system on SaaS platform - Google Patents
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Abstract
The invention relates to the technical field of SaaS platforms, and particularly discloses a function management method and system on a SaaS platform. The first information exchange interface is established for processing the data in the priority processing interval mode through the processing parameters dividing the priority processing interval mode and the waiting processing interval mode, and meanwhile, the communication time in the priority processing interval mode is timed, so that the second information exchange interface is required to be re-established when the preset waiting time is exceeded, otherwise, the first information exchange interface is continuously used for processing, thus, the personnel for butt joint processing can be reduced, the data uploaded by a plurality of teams are divided in advance, invalid communication can be reduced, meanwhile, the problem that communication is not smooth due to the fact that the teams butt joint mutually exist, and then the SaaS platform application is wrong is avoided.
Description
Technical Field
The invention relates to the technical field of SaaS platforms, in particular to a function management method and system on a SaaS platform.
Background
The SaaS platform is a platform that operates SaaS software. The SaaS is an informationized software platform built for a business, wherein the software platform comprises a network infrastructure, software and hardware operation platform and is responsible for a series of services such as implementation in all earlier stages, maintenance in later stages and the like, and an enterprise can use an information system through the Internet without purchasing software and hardware, building a machine room and recruiting IT personnel. SaaS is a software layout model, and the application of the SaaS is specially designed for network delivery, so that users can conveniently host, deploy and access through the Internet;
however, in the process of the SaaS platform application, a plurality of teams are often involved in cooperation, and synchronous cooperative work is required through a development team, a test team, an operation and maintenance team and a product team, and in the process of the SaaS platform function management, due to the fact that a plurality of teams are mutually butted and have time delay, coordination and communication are not smooth, and then the problem of application errors of the SaaS platform application is caused.
Disclosure of Invention
The invention aims to provide a function management method on a SaaS platform so as to solve the technical problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a function management method on a SaaS platform comprises the following steps:
acquiring processing parameters of uploading data of a plurality of application modules, wherein the processing parameters comprise time node information, priority score information and starting information;
determining a processing mode of each application module according to the processing parameters, wherein the processing mode comprises a priority processing interval mode and a waiting processing interval mode;
when the application module uploading data is in a priority processing interval mode, acquiring priority instruction information related to the application module uploading data corresponding to the processing parameters;
judging whether the data uploaded by the application module has priority processing property or not according to the priority instruction information;
if the data uploaded by the application module has priority processing property, processing level ordering is carried out on the data uploaded by the application module according to the priority instruction information, so as to obtain a processing level table;
generating an operation and maintenance processing communication table according to the processing parameters of the data uploaded by the application modules and the processing level table;
establishing matched first information exchange interfaces among a plurality of teams corresponding to the processing parameters in the priority processing interval mode according to the operation and maintenance processing communication table;
when the team uploading data is in the waiting processing interval mode, timing monitoring is carried out on the processing time corresponding to the priority processing interval mode, and whether the processing time exceeds the waiting time is judged;
if the processing parameters exceed the processing parameters, a matched second information exchange interface is established between teams corresponding to the processing parameters in the waiting processing interval mode.
Preferably, the step of obtaining processing parameters of the data uploaded by the plurality of application modules includes:
acquiring metadata information corresponding to the processing parameters;
identifying specific metadata field information corresponding to the uploading data of the application module according to the metadata information;
and storing the specific metadata field information according to a queue data structure to obtain storage time information corresponding to the storage information, and defining the storage time information corresponding to the storage information as time node information of the processing parameters.
Preferably, after the step of defining the stored time information corresponding to the stored information as the time node information of the processing parameter, the method includes:
information extraction is carried out on time node information corresponding to the uploading data of the application module, and the uploading data time is obtained;
acquiring a data occupation ratio corresponding to the uploading data time;
obtaining a deviation coefficient corresponding to the data uploaded by the application module;
inputting the uploading data time and the data occupation ratio into a completion degree prediction model to obtain a priority score value, wherein the function of the completion degree prediction model is as follows:wherein, minuz is a priority score value, p k For uploading data time, w kj For the data ratio, d j Is the coefficient of deviation.
And calibrating the information corresponding to the priority score value as priority score information.
Preferably, after the step of calibrating the information corresponding to the priority score value as priority score information, the method includes:
acquiring a weight ratio value corresponding to the uploading data time;
calculating a starting value corresponding to the starting information according to the priority score value and the weight ratio, wherein the calculation formula is as follows:wherein E is the start value, ">The weight ratio is calculated; judging and dividing processing module according to the starting valueWhether the formula is equal to a first preset value;
if the processing parameters corresponding to the starting values are equal to the processing parameters, dividing the processing parameters corresponding to the starting values into a priority processing interval mode;
and if not, dividing the processing parameters corresponding to the starting values into a waiting processing interval mode.
Preferably, after the step of establishing the matched first information exchange interface between the teams corresponding to the processing parameters in the preferential processing interval mode according to the operation and maintenance processing communication table, the method includes:
acquiring first communication group information corresponding to the first information exchange interface, and establishing a group number according to the first communication group information;
establishing a corresponding communication standard according to the group number to obtain communication standard specification information;
constraining the exchange of information content among teams corresponding to a plurality of processing parameters according to the communication standard specification information, wherein the communication standard specification information comprises communication time information and word format limiting information;
judging whether the information content exchanged among the teams corresponding to the processing parameters meets preset communication time information or not;
if yes, detecting the word format limiting information of the exchange information content;
judging whether the content of the exchange information meets preset word format limiting information or not;
if yes, extracting information from the content of the exchange information to obtain first exchange information;
and sharing the first exchange information based on the API to obtain first shared information, and sharing the first shared information into a second communication group corresponding to the second information exchange interface.
Preferably, after the step of establishing the matched first information exchange interface between the teams corresponding to the processing parameters in the preferential processing interval mode according to the operation and maintenance processing communication table, the method further includes:
extracting a plurality of keywords from the first shared information, and generating a pie chart according to the plurality of keywords;
judging whether the keywords exceed a preset percentage value according to the pie chart occupation ratio;
if yes, setting the keywords exceeding the preset percentage value as constraint words of a second communication group corresponding to the second information exchange interface, and carrying out constraint communication on teams in the second communication group according to the constraint words.
The application also provides a function management system on the SaaS platform, which is characterized by comprising:
the first acquisition module is used for acquiring processing parameters of the data uploaded by the plurality of application modules, wherein the processing parameters comprise time node information, priority score information and starting information;
the first determining module is used for determining a processing mode of each application module according to the processing parameters, wherein the processing mode comprises a priority processing interval mode and a waiting processing interval mode;
the second acquisition module is used for acquiring priority instruction information related to the uploading data of the application module corresponding to the processing parameters when the uploading data of the application module is in a priority processing interval mode;
the first judging module is used for judging whether the data uploaded by the application module has priority processing property or not according to the priority instruction information;
if the data uploaded by the application module has priority processing property, processing level ordering is carried out on the data uploaded by the application module according to the priority instruction information, so as to obtain a processing level table;
the first processing module is used for generating an operation and maintenance processing communication table according to the processing parameters of the data uploaded by the plurality of application modules and the processing class table;
the first acquisition and establishment module is used for establishing a matched first information exchange interface between a plurality of teams corresponding to the processing parameters in the preferential processing interval mode according to the operation and maintenance processing communication table;
the second judging module is used for timing and monitoring the processing time corresponding to the priority processing interval mode when the team uploading data is in the waiting processing interval mode and judging whether the processing time exceeds the waiting time or not;
if the processing parameters exceed the processing parameters, a matched second information exchange interface is established between teams corresponding to the processing parameters in the waiting processing interval mode.
Preferably, the first acquisition module includes:
the first acquisition unit is used for acquiring metadata information corresponding to the processing parameters;
the first identification unit is used for identifying specific metadata field information corresponding to the uploading data of the application module according to the metadata information;
the first storage unit is used for storing the specific metadata field information according to a queue data structure to obtain storage time information corresponding to the storage information, and defining the storage time information corresponding to the storage information as time node information of the processing parameters.
The present application also provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the above method when executing the computer program.
The present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above method.
The beneficial effects of this application are: the method comprises the steps of judging and dividing a processing mode through processing parameters of data uploaded by a plurality of application modules corresponding to a team, dividing the processing mode into a priority processing interval mode and a waiting processing interval mode, so that the uploaded data can be rapidly screened, the uploaded data divided into the priority processing interval mode is sequenced, a processing grade table is obtained after the uploaded data is sequenced, then an operation and maintenance processing communication table is generated according to the processing grade table, a matched first information exchange interface is established among the teams corresponding to the processing parameters in the priority processing interval mode according to the operation and maintenance processing communication table, further, the priority processing of the uploaded data can be conducted in a concentrated mode through a communication group corresponding to the first information exchange interface, when the team uploading data is in the waiting processing interval mode, the processing time corresponding to the priority processing interval mode is monitored, and whether the processing time exceeds the waiting time is judged, if the processing time exceeds the waiting time, a second information exchange interface is established between the teams corresponding to the processing parameters in the waiting processing interval mode, the application modules in the waiting processing interval mode is pre-arranged, the priority processing interface is prevented from being conducted, and the problem that the teams can be prevented from being changed in advance when the waiting time is not longer than the first, and the communication between the teams can be continuously conducted, and the problem of the communication can be avoided when the teams can be continuously exchanged due to the fact that the priority information is not successfully established.
Drawings
FIG. 1 is a flow chart of a method according to an embodiment of the present application.
Fig. 2 is a schematic system structure of an embodiment of the present application.
Fig. 3 is a schematic diagram of an internal structure of a computer device according to an embodiment of the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1-3, the present application provides a method for managing functions on a SaaS platform, including:
s1, acquiring processing parameters of uploading data of a plurality of application modules, wherein the processing parameters comprise time node information, priority score information and starting information;
s2, determining a processing mode of each application module according to the processing parameters, wherein the processing mode comprises a priority processing interval mode and a waiting processing interval mode;
s3, when the application module uploading data is in a priority processing interval mode, acquiring priority instruction information related to the application module uploading data corresponding to the processing parameters;
s4, judging whether the data uploaded by the application module has priority processing property or not according to the priority instruction information;
if the data uploaded by the application module has priority processing property, processing level ordering is carried out on the data uploaded by the application module according to the priority instruction information, so as to obtain a processing level table;
s5, processing parameters of the data uploaded by the application modules are generated into an operation and maintenance processing communication table according to the processing level table;
s6, establishing matched first information exchange interfaces among a plurality of teams corresponding to the processing parameters in the priority processing interval mode according to the operation and maintenance processing communication table;
s7, when the team uploading data is in the waiting processing interval mode, timing and monitoring processing time corresponding to the priority processing interval mode, and judging whether the processing time exceeds the waiting time;
if the processing parameters exceed the processing parameters, a matched second information exchange interface is established between teams corresponding to the processing parameters in the waiting processing interval mode.
As described in the above steps S1-S7, in the process of applying the SaaS platform, a plurality of teams are often involved in cooperation, and the teams need to perform synchronous collaborative work through a development team, a test team, an operation maintenance team and a product team, in the process of managing the functions of the SaaS platform, due to the fact that the teams are mutually abutted and delayed, coordination and communication are not smooth, then a problem of application errors occurs in the SaaS platform application is caused, while the invention determines a processing mode through processing parameters of uploading data by application modules corresponding to the teams, and divides the processing mode into a priority processing interval mode and a waiting processing interval mode, so that the uploaded data can be rapidly screened, and after the uploaded data is sequenced, a processing class table is obtained, then an operation maintenance processing communication table is generated according to the processing class table, a first information exchange interface matched between teams corresponding to processing parameters in the priority processing interval mode is established, and if the processing parameters corresponding to the first information exchange interface are uploaded, the priority processing interval time is more than the corresponding to the teams in the priority processing interval mode, and the waiting time is more than the waiting time is equal to the waiting time in the priority processing interval mode, and if the priority processing interval is equal to the waiting time is greater than the priority processing interval, and the waiting time is equal to the priority processing interval is determined to the priority processing interval and the data is higher than the priority processing interval and the priority processing mode, and if the waiting time exceeds the preset waiting time, the second information exchange interface is required to be re-established, otherwise, the first information exchange interface is continuously used for processing, so that the personnel for butt joint processing can be reduced, invalid communication can be reduced by dividing the data uploaded by a plurality of teams in advance, and meanwhile, the problems that communication is not smooth due to the fact that the teams are mutually butt-jointed and have time delay, and then the SaaS platform application is wrong are avoided.
In one embodiment, the step of obtaining processing parameters of the data uploaded by the plurality of application modules includes:
s8, acquiring metadata information corresponding to the processing parameters;
s9, identifying specific metadata field information corresponding to the uploading data of the application module according to the metadata information;
s10, storing the specific metadata field information according to a queue data structure to obtain storage time information corresponding to the storage information, and defining the storage time information corresponding to the storage information as time node information of processing parameters.
In the method, metadata information corresponding to the processing parameters is acquired, then specific metadata field information corresponding to the uploading data of the application module is identified, then the specific metadata field information is stored according to a queue data structure to obtain storage time information corresponding to the storage information, and the storage time information corresponding to the storage information is defined as time node information of the processing parameters, so that the uploading data time is synchronously ordered according to the queue data structure in the process of uploading data storage of the application module, and meanwhile, the data uploading data storage time of the module is equal to the uploading data time of the module, and the time node information can be conveniently acquired through the steps.
In one embodiment, after the step of defining the stored time information corresponding to the stored information as the time node information of the processing parameter, the method includes:
s11, extracting information of time node information corresponding to the uploading data of the application module to obtain the uploading data time;
s12, acquiring a data occupation ratio corresponding to the uploading data time;
s13, obtaining a deviation coefficient corresponding to the uploading data of the application module;
s14, inputting the uploading data time and the data occupation ratio into a completion degree prediction model to obtain a priority score value, wherein the function of the completion degree prediction model is as follows:wherein, minuz is a priority score value, p k For uploading data time, w kj For the data ratio, d j Is the coefficient of deviation.
S15, the information corresponding to the priority score value is marked as priority score information.
And (3) after the processing parameters of the uploaded data of the plurality of application modules are obtained, inputting the uploading data time and the data occupation ratio into a completion degree prediction model to obtain a priority score value, wherein the uploading data time is the submitting time corresponding to the uploading data, the data occupation ratio can be the ratio of the preselected uploading data time to the uploading data completion degree, and the deviation coefficient is a preset deviation value, so that the uploading data can be primarily classified after the uploading data priority score is obtained, and the priority communication processing of the uploading data with low grade can be avoided.
In one embodiment, after the step of calibrating the information corresponding to the priority score value as priority score information, the method includes:
s16, obtaining a weight ratio value corresponding to the uploading data time;
s17, calculating a starting value corresponding to the starting information according to the priority score value and the weight ratio, wherein the calculation formula is as follows:wherein E is the start value, ">The weight ratio is calculated;
s18, judging whether the dividing processing mode is equal to a first preset value according to the starting value;
if the processing parameters corresponding to the starting values are equal to the processing parameters, dividing the processing parameters corresponding to the starting values into a priority processing interval mode;
and if not, dividing the processing parameters corresponding to the starting values into a waiting processing interval mode.
As described in the above steps S16-18, after the priority score value and the weight ratio are obtained, the starting value corresponding to the starting information can be calculated according to the priority score value and the weight ratio, so that whether the processing mode is equal to the first preset value is judged by the starting value, wherein the first preset value is a preset value in the history processing, if so, the processing parameter corresponding to the starting value is divided into the priority processing interval mode, and if not, the processing parameter corresponding to the starting value is divided into the waiting processing interval mode, so that the processing parameters of the plurality of team uploading data can be rapidly divided into the priority processing interval mode and the waiting processing interval mode, so that the application error of the SaaS platform application caused by the priority processing of the unimportant processing parameters can be avoided, meanwhile, the team uploading data can be sequentially processed in the priority processing interval mode, and then the team uploading data in the waiting processing interval mode is processed, so that the communication problem of the plurality of teams can be avoided.
In one embodiment, after the step of establishing a first matched information exchange interface between the teams corresponding to the processing parameters in the priority processing interval mode according to the operation and maintenance processing communication table, the method includes:
s19, acquiring first communication group information corresponding to the first information exchange interface, and establishing a group number according to the first communication group information;
s20, establishing a corresponding communication standard according to the group number to obtain communication standard specification information;
s21, constraining the exchange of information content among teams corresponding to a plurality of processing parameters according to the communication standard specification information, wherein the communication standard specification information comprises communication time information and word format limiting information;
s22, judging whether the information content exchanged among the teams corresponding to the processing parameters meets preset communication time information or not;
if yes, detecting the word format limiting information of the exchange information content;
s23, judging whether the content of the exchange information meets preset word format limiting information or not;
if yes, extracting information from the content of the exchange information to obtain first exchange information;
s24, sharing the first exchange information based on the API to obtain first shared information, and sharing the first shared information into a second communication group corresponding to the second information exchange interface.
As described in the above steps S19-S24, after the processing parameters of the data uploaded by the application modules are distributed to the priority processing interval mode and the waiting processing interval mode, a number pairing is established between the teams required to communicate according to the operation and maintenance processing communication table and the first information exchange interfaces matched with each other are established between the teams corresponding to the processing parameters in the priority processing interval mode, wherein before the first information exchange interfaces are established, the data required to be processed are screened and teams corresponding to the processing data are divided into the priority processing interval mode, so that the priority processing interval mode established in the SaaS platform can perform priority communication on teams meeting the set requirements, and in the communication process, the priority processing interval mode can establish an information exchange interface through an instant communication tool and generate corresponding data links, wherein the instant communication tool can be a micro-message, a WhatsApp, a Telegram and the like, and a communication rule is established for the pairing, so that communication efficiency of team communication can be higher and invalid communication can be avoided by setting communication time information and word limiting information for communication.
In one embodiment, after the step of establishing the matched first information exchange interface between the teams corresponding to the processing parameters in the priority processing interval mode according to the operation and maintenance processing communication table, the method further includes:
s25, extracting a plurality of keywords from the first shared information, and generating a pie chart according to the keywords;
s26, judging whether the keywords exceed a preset percentage value according to the pie chart occupation ratio;
if yes, setting the keywords exceeding the preset percentage value as constraint words of a second communication group corresponding to the second information exchange interface, and carrying out constraint communication on teams in the second communication group according to the constraint words.
As described in the above steps S25-S26, before establishing the second information exchange interface, timing monitoring is required to be performed on the processing time of the teams in the priority processing interval mode in advance, and whether the processing time exceeds the waiting time is determined, if yes, a matched second information exchange interface is established between teams corresponding to the processing parameters in the waiting processing interval mode, after establishing the second information exchange interface, a plurality of keywords are extracted from the first shared information, a pie chart is generated according to the plurality of keywords, the generated pie chart can visually display the extracted keywords, and share the pie chart into a second communication group established by the second information exchange interface, whether the keywords exceed a preset percentage value is determined according to the pie chart occupation ratio, if yes, the keywords exceeding the preset percentage value are constraint words of the second communication group corresponding to the second information exchange interface, and after establishing the second information exchange interface, the first shared information is subjected to constraint communication on teams corresponding to the second communication group, and the first communication group is subjected to multiple constraint words, so that a plurality of communication groups can be prevented from being repeatedly connected by the corresponding to the teams, and the problem of the first communication group can be prevented from being mutually shared by the corresponding to the first teams, and the time-lapse communication interfaces can be prevented from being further solved, and the problem of the problem can be prevented from being easily shared by the corresponding to the teams.
The application also provides a function management system on the SaaS platform, which is characterized by comprising:
the first acquisition module 1 is used for acquiring processing parameters of the data uploaded by the plurality of application modules, wherein the processing parameters comprise time node information, priority score information and starting information;
a first determining module 2, configured to determine a processing mode of each application module according to the processing parameter, where the processing mode includes a priority processing interval mode and a waiting processing interval mode;
the second obtaining module 3 is configured to obtain, when the application module uploading data is in a priority processing interval mode, priority instruction information related to the application module uploading data corresponding to the processing parameter;
the first judging module 4 is configured to judge whether the data uploaded by the application module has priority processing according to the priority instruction information;
if the data uploaded by the application module has priority processing property, processing level ordering is carried out on the data uploaded by the application module according to the priority instruction information, so as to obtain a processing level table;
the first processing module 5 is used for generating an operation and maintenance processing communication table according to the processing parameters of the data uploaded by the plurality of application modules and the processing class table;
the first obtaining and establishing module 6 is used for establishing a matched first information exchange interface between a plurality of teams corresponding to the processing parameters in the preferential processing interval mode according to the operation and maintenance processing communication table;
the second judging module 7 is used for timing and monitoring the processing time corresponding to the priority processing interval mode when the team uploading data is in the waiting processing interval mode and judging whether the processing time exceeds the waiting time or not;
if the processing parameters exceed the processing parameters, a matched second information exchange interface is established between teams corresponding to the processing parameters in the waiting processing interval mode.
Preferably, the first acquisition module includes:
the first acquisition unit is used for acquiring metadata information corresponding to the processing parameters;
the first identification unit is used for identifying specific metadata field information corresponding to the uploading data of the application module according to the metadata information;
the first storage unit is used for storing the specific metadata field information according to a queue data structure to obtain storage time information corresponding to the storage information, and defining the storage time information corresponding to the storage information as time node information of the processing parameters.
As shown in fig. 3, the present application further provides a computer device, which may be a server, and the internal structure of which may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing all data required by the process of the automatic output power adjustment method of the energy storage inverter. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for automatically adjusting the output power of an energy storage inverter.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device to which the present application is applied.
An embodiment of the present application further provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor implements a method and system for managing functions on any of the SaaS platforms described above,
those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes using the teachings of the present invention and the accompanying drawings, or direct or indirect application in other related arts, are included in the scope of the present invention
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in the same piece or pieces of software and/or hardware when implementing the present application, and those skilled in the art will appreciate that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (10)
1. The function management method on the SaaS platform is characterized by comprising the following steps of:
acquiring processing parameters of uploading data of a plurality of application modules, wherein the processing parameters comprise time node information, priority score information and starting information;
determining a processing mode of each application module according to the processing parameters, wherein the processing mode comprises a priority processing interval mode and a waiting processing interval mode;
when the application module uploading data is in a priority processing interval mode, acquiring priority instruction information related to the application module uploading data corresponding to the processing parameters;
judging whether the data uploaded by the application module has priority processing property or not according to the priority instruction information;
if the data uploaded by the application module has priority processing property, processing level ordering is carried out on the data uploaded by the application module according to the priority instruction information, so as to obtain a processing level table;
generating an operation and maintenance processing communication table according to the processing parameters of the data uploaded by the application modules and the processing level table;
establishing matched first information exchange interfaces among a plurality of teams corresponding to the processing parameters in the priority processing interval mode according to the operation and maintenance processing communication table;
when the team uploading data is in the waiting processing interval mode, timing monitoring is carried out on the processing time corresponding to the priority processing interval mode, and whether the processing time exceeds the waiting time is judged;
if the processing parameters exceed the processing parameters, a matched second information exchange interface is established between teams corresponding to the processing parameters in the waiting processing interval mode.
2. The method for managing functions on a SaaS platform according to claim 1, wherein the step of obtaining processing parameters of uploading data by a plurality of application modules comprises:
acquiring metadata information corresponding to the processing parameters;
identifying specific metadata field information corresponding to the uploading data of the application module according to the metadata information;
and storing the specific metadata field information according to a queue data structure to obtain storage time information corresponding to the storage information, and defining the storage time information corresponding to the storage information as time node information of the processing parameters.
3. The method for managing functions on a SaaS platform according to claim 2, wherein after the step of defining the storage time information corresponding to the storage information as the time node information of the processing parameter, the method comprises:
information extraction is carried out on time node information corresponding to the uploading data of the application module, and the uploading data time is obtained;
acquiring a data occupation ratio corresponding to the uploading data time;
obtaining a deviation coefficient corresponding to the data uploaded by the application module;
inputting the uploading data time and the data occupation ratio into a completion degree prediction model to obtain a priority score value, wherein the function of the completion degree prediction model is as follows:
wherein, minuz is a priority score value, p k For uploading data time, w kj For the data ratio, d j Is the deviation coefficient;
and calibrating the information corresponding to the priority score value as priority score information.
4. The method for managing functions on a SaaS platform according to claim 3, wherein after the step of calibrating the information corresponding to the priority score value as priority score information, the method comprises:
acquiring a weight ratio value corresponding to the uploading data time;
calculating a starting value corresponding to the starting information according to the priority score value and the weight ratio, wherein the calculation formula is as follows:
wherein E is the start value, ">The weight ratio is calculated;
judging whether the dividing processing mode is equal to a first preset value according to the starting value;
if the processing parameters corresponding to the starting values are equal to the processing parameters, dividing the processing parameters corresponding to the starting values into a priority processing interval mode;
and if not, dividing the processing parameters corresponding to the starting values into a waiting processing interval mode.
5. The method for managing functions on a SaaS platform according to claim 1, wherein after the step of establishing a matched first information exchange interface between teams corresponding to a plurality of processing parameters in a priority processing interval mode according to the operation and maintenance processing communication table, the method comprises:
acquiring first communication group information corresponding to the first information exchange interface, and establishing a group number according to the first communication group information;
establishing a corresponding communication standard according to the group number to obtain communication standard specification information;
constraining the exchange of information content among teams corresponding to a plurality of processing parameters according to the communication standard specification information, wherein the communication standard specification information comprises communication time information and word format limiting information;
judging whether the information content exchanged among the teams corresponding to the processing parameters meets preset communication time information or not;
if yes, detecting the word format limiting information of the exchange information content;
judging whether the content of the exchange information meets preset word format limiting information or not;
if yes, extracting information from the content of the exchange information to obtain first exchange information;
and sharing the first exchange information based on the API to obtain first shared information, and sharing the first shared information into a second communication group corresponding to the second information exchange interface.
6. The method for managing functions on a SaaS platform according to claim 1, further comprising, after the step of establishing a first information exchange interface matched between a plurality of teams corresponding to processing parameters in a priority processing interval mode according to the operation and maintenance processing communication table:
extracting a plurality of keywords from the first shared information, and generating a pie chart according to the plurality of keywords;
judging whether the plurality of keywords exceed a preset percentage value according to the extracted occupancy rate of the pie chart;
if yes, setting the keywords exceeding the preset percentage value as constraint words of a second communication group corresponding to the second information exchange interface, and carrying out constraint communication on teams in the second communication group according to the constraint words.
7. A function management system on a SaaS platform, comprising:
the first acquisition module is used for acquiring processing parameters of the data uploaded by the plurality of application modules, wherein the processing parameters comprise time node information, priority score information and starting information;
the first determining module is used for determining a processing mode of each application module according to the processing parameters, wherein the processing mode comprises a priority processing interval mode and a waiting processing interval mode;
the second acquisition module is used for acquiring priority instruction information related to the uploading data of the application module corresponding to the processing parameters when the uploading data of the application module is in a priority processing interval mode;
the first judging module is used for judging whether the data uploaded by the application module has priority processing property or not according to the priority instruction information;
if the data uploaded by the application module has priority processing property, processing level ordering is carried out on the data uploaded by the application module according to the priority instruction information, so as to obtain a processing level table;
the first processing module is used for generating an operation and maintenance processing communication table according to the processing parameters of the data uploaded by the plurality of application modules and the processing class table;
the first acquisition and establishment module is used for establishing a matched first information exchange interface between a plurality of teams corresponding to the processing parameters in the preferential processing interval mode according to the operation and maintenance processing communication table;
the second judging module is used for timing and monitoring the processing time corresponding to the priority processing interval mode when the team uploading data is in the waiting processing interval mode and judging whether the processing time exceeds the waiting time or not;
if the processing parameters exceed the processing parameters, a matched second information exchange interface is established between teams corresponding to the processing parameters in the waiting processing interval mode.
8. The system for managing functions on a SaaS platform of claim 7, wherein the first obtaining module comprises:
the first acquisition unit is used for acquiring metadata information corresponding to the processing parameters;
the first identification unit is used for identifying specific metadata field information corresponding to the uploading data of the application module according to the metadata information;
the first storage unit is used for storing the specific metadata field information according to a queue data structure to obtain storage time information corresponding to the storage information, and defining the storage time information corresponding to the storage information as time node information of the processing parameters.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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| WO2018218309A1 (en) * | 2017-06-01 | 2018-12-06 | COACH & Co. PTY LTD | A method and system for building teams for projects |
| CN112069134A (en) * | 2020-09-04 | 2020-12-11 | 中国平安人寿保险股份有限公司 | Requirement document processing method, device and medium |
| CN115391041A (en) * | 2022-08-26 | 2022-11-25 | 北京百度网讯科技有限公司 | Task processing method and device, electronic equipment and storage medium |
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