CN115422414B - Visual configuration method for approval process - Google Patents
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
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- G06F3/0482—Interaction with lists of selectable items, e.g. menus
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04847—Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
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Abstract
The invention relates to the technical field of data processing and discloses an approval process visualization configuration method, which comprises the steps of firstly, obtaining preliminary operation of a user on an approval process visualization interface, calling nodes under operation keys according to the operation keys, and generating corresponding node controls; then, according to the operation of the user on the approval process visual interface key, the type of the child node is obtained, and according to the node type, the node configuration is carried out by utilizing an optimization recommendation algorithm; and finally, integrating operation selection of all nodes, giving an approval result after integrated judgment, and completing visual configuration of the approval process. The invention solves the technical problems of poor accuracy and lower efficiency in the visual configuration process of the approval process in the prior art.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a visual configuration method for an approval process.
Background
The approval refers to examining and approving documents of a lower-level report and reporting the upper-level approval, and a main stream approval working engine is generally adopted, such as activities (a project name, a business management flow can be realized), jbpm (a flexible and extensible workflow management system), flow (a lightweight business flow engine written in Java), and the like, and when a conditional gateway is configured, the general scheme is as follows: the conditional expressions can be configured through handwriting of text boxes; when the approval process runs, the specific business needs to query the variable values required by the collection conditional expressions by itself and transmit the variable values to the process engine; and the flow engine obtains branches to be flown according to the variable values and the expression after operation.
There are many methods for examining and approving processes, and our invention patent application number 202110432397.1 discloses a method and a device for visually configuring an examining and approving process, which mainly comprises the following steps: receiving operation information of a user on function keys in a visual task interface, wherein the function keys comprise newly added node keys; judging the type of the node to be newly added according to the operation information; when the type of the node to be newly added is judged to be an approval node, approval configuration data corresponding to the approval node is acquired from a preset configuration management database according to the function keys, and the newly added approval node is generated according to the approval configuration data and the operation information; when the node to be newly added is judged to be a conditional node, acquiring the conditional configuration data corresponding to the conditional node from the configuration management database according to the function key, generating the newly added conditional node according to the conditional configuration data and the operation information, and adding the node by only clicking the function key.
However, in the process of implementing the technical solution of the embodiment of the application, the technical problems of poor accuracy and low efficiency in the process of visual configuration of the approval process in the above technology are found.
Disclosure of Invention
The invention solves the technical problems of poor accuracy and low efficiency in the visual configuration process of the approval process in the prior art by providing the visual configuration method of the approval process, and achieves the technical effects of high accuracy and high efficiency in the visual configuration process of the approval process.
The invention specifically comprises the following technical scheme:
the visual configuration method of the approval process comprises the following steps:
s1, firstly, obtaining preliminary operation of a user on an examination and approval process visual interface, calling a node under an operation key according to the operation key, and generating a corresponding node control;
s2, acquiring the type of the child node according to the operation of a user on the approval process visual interface key, and carrying out node configuration by utilizing an optimization recommendation algorithm according to the type of the node;
and S3, finally, integrating operation selection of all the nodes, and giving out an approval result after comprehensive judgment to complete visual configuration of the approval process.
Further, the step S1 specifically includes:
when the visual configuration of the approval process is started, operating a start approval button, taking the operation start approval button as a start node of the visual configuration of the approval process, and transferring service definitions, service bill main keys and form main keys through service functions to call a process engine method, wherein the process engine acquires the service definitions and data sheet definitions;
according to the current form main key obtained by the operation, taking the form main key as a starting point, based on the definition of the flow chart, obtaining all business related data, and obtaining a current approver account number, a current approver role and a department to which the current approver belongs from system cache data;
the business function enables a user to conduct discussion and determination according to specific approval content;
the service definition content comprises service numbers, service names, service types and form data table main keys;
the definition content of the data table definition comprises a table information definition, a field information definition and a table key association definition; the table information definition contents include: a primary key, a table number, a table name, a table type; the field information definition content includes: the main key, the field number, the field name, the field Chinese name, the field type, the length, the precision and whether the table is empty or not; the table key association definition content comprises: the key belongs to a main key of a table, a key name, a key Chinese name, a main key of an associated table and a key type.
Further, the step S2 specifically includes:
according to the operation of a user on the visual interface key of the approval process, configuring the next approval process of the corresponding service, and acquiring the node type of the approval process, wherein when the node type is a conditional node: when setting flow conditions, clicking a flow route, popping up a branch condition setting editing page, and enabling a user to set what conditions the flow flows to flow to the branch through the branch condition setting editing page;
the branch condition setting editing page displays system table information and system operation basic information in a dynamic list form, wherein each row of list content comprises: leading brackets, data sources, field options, data aggregation, comparators, condition values, trailing brackets, and next condition relationship; the pre-brackets: empty or left brackets; the data sources: showing the name of a system table associated with the service and basic options for system operation; the field option: displaying corresponding field information along with data source switching; the data aggregation: when the data source selects a non-system operation basic option and the selected field is a numerical value type, showing the total value, the average value, the maximum value and the minimum value; the comparator: providing operation options which are larger than, smaller than, larger than or equal to and smaller than or equal to each other; the condition value: inputting a box and filling in a condition value; the post brackets: empty or right brackets; the following conditional relation: empty or and, or.
Further, the list provides an add condition and delete condition button.
Further, the data after configuration is stored in a database for next direct selection, so that the approval process efficiency is improved.
Further, the user can add and delete rows as required, each row represents a condition, and each row combination and nor relation can be formed according to the pre-bracket, the post-bracket and the next condition relation, so that the overall flow condition relation is formed.
Further, the step S2 further includes:
when condition nodes are selected, limiting conditions are screened by utilizing an optimization recommendation algorithm based on system operation data and form service data, and an optimal limiting condition combination is selected, so that the condition nodes are configured;
according to the service definition, acquiring corresponding data table definition information according to a table data table main key in the service definition by utilizing the prior art; according to the data table key relation, taking a form data table as a starting point, acquiring the associated data table and field information layer by layer, and further obtaining all limiting condition information of the condition node according to the information by utilizing a classification algorithm, wherein the limiting condition information is represented by a set Select, and the select= { S 1 ,S 2 ,…,S i ,…,S N N represents the number of limiting conditions, S i Representing the ith constraint。
Further, the step S2 further includes:
when the condition nodes are configured, the limiting conditions are screened by using an optimization recommendation algorithm, and the optimal limiting condition combination is selected, wherein the specific process is as follows:
firstly, calculating the related probability of the feature value limiting condition by utilizing the attribute feature weight and the attribute information of the limiting condition;
calculating the related probability of the limiting condition according to the attribute information characteristic value of the limiting condition and the attribute characteristic weight in the approval service:
……
wherein P (S) i ,S j ) Representing the associated probability of any two constraints, P (S a ,S b ,S c ) Representing the associated probability of any three constraints, P (S k1 ,S k2 ,...,S kn ) Representing the probability of correlation between any kn constraints, P (S i )、P(S j )、P(S a )、P(S b )、P(S c )、P(S k1 )、P(S k2 )、…、P(S kn ) Represents the probability that the i, j, a, b, c, k th, k2, … th and kn th defined conditions appear at the condition nodes, na i 、Na j 、Na a 、Na b 、Na c 、Na q Represents the attribute information feature value, W, corresponding to the i, j, a, b, c, q th limiting condition i 、W j 、W a 、W b 、W c 、W q Represent the firsti. j, a, b, c, q attribute feature weights of the limiting conditions in the approval service;
then, using the correlation probability, a correlation factor is calculated:
Con(S i ,S j )＝P(S i )P(S i ,S j )+P(S j )P(S i ,S j ),i≠j,i,j∈[1,N]
Con(S a ,S b ,S c )＝P(S a )P(S a ,S b ,S c )+P(S b )P(S a ,S b ,S c )+P(S c )P(S a ,S b ,S c ),a≠b≠c,a,b,c∈[1,N]
……
Con(S k1 ,S k2 ,…,S kn )
＝P(S k1 )P(S k1 ,S k2 ,…,S kn )+P(S k2 )P(S k1 ,S k2 ,…,S kn )+…+P(S kn )P(S k1 ,S k2 ,…,S kn ),k1≠k2≠...≠kn,k1,k2,…,kn∈[1,N]
wherein Con (S i ,S j ) Correlation factor, con (S a ,S b ,S c ) Correlation factor, con (S k1 ,S k2 ,…,S kn ) A correlation factor representing any kn of the defined conditions;
further, an association set Con, con= { Con (S) corresponding to the constraint condition contained in the condition node is obtained i ,S j ),Con(S a ,S b ,S c ),…,Con(S k1 ,S k2 ,…,S kn )}；
And finally, recommending the limiting conditions by utilizing a Viterbi algorithm according to the association factor set to obtain the optimally selected limiting conditions and configuring the conditional nodes.
The invention has at least the following technical effects or advantages:
1. according to the invention, the relevant information basis in the approval process is stored in the configuration management database, so that an accurate and effective information basis is provided for the configuration process of the approval process, the visual configuration of the approval process is rapidly and accurately realized, and the accuracy and the high efficiency of the visual configuration of the approval process are improved.
2. According to the invention, condition nodes are configured on the basis of system operation data and form service data in an approval process, the relevant probability of a feature value limiting condition is calculated according to limiting conditions at the condition nodes by utilizing the attribute feature weight and attribute information of the limiting conditions, then a correlation set is obtained by utilizing the relevant probability, finally the limiting conditions are processed by utilizing a Viterbi algorithm in combination with the correlation set, the optimal selection of the limiting conditions is obtained, the condition nodes are configured, and the condition nodes are further accurately configured, so that the approval process configuration is more efficient.
Drawings
FIG. 1 is a step diagram of a visual configuration method for approval process according to the present invention;
fig. 2 is a flow chart of the condition node configuration condition selection according to the present invention.
Detailed Description
The embodiment of the application solves the problems of poor accuracy and low efficiency in the visual configuration process of the approval process in the prior art by providing the visual configuration method of the approval process, and the overall thought is as follows:
firstly, obtaining preliminary operation of a user on a review flow visual interface, calling a node under an operation key according to the operation key, and generating a corresponding node control; then, according to the operation of the user on the approval process visual interface key, the type of the child node is obtained, and according to the node type, the node configuration is carried out by utilizing an optimization recommendation algorithm; and finally, integrating operation selection of all nodes, giving an approval result after integrated judgment, and completing visual configuration of the approval process. By storing the relevant information basis in the approval process in the configuration management database, an accurate and effective information basis is provided for the configuration process of the approval process, the visual configuration of the approval process is rapidly and accurately realized, and the accuracy and the high efficiency of the visual configuration of the approval process are improved; the method comprises the steps of configuring condition nodes based on system operation data and form service data in an approval process, calculating the relevant probability of a limiting condition of a characteristic value by using the attribute characteristic weight and attribute information of the limiting condition according to the limiting condition at the condition nodes, obtaining an association set by using the relevant probability, and finally processing the limiting condition by using a Viterbi algorithm in combination with the association set to obtain the optimal selection of the limiting condition, so that the condition nodes are configured, and the configuration of the approval process is more efficient.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Referring to fig. 1, the visual configuration method of the approval process of the invention comprises the following steps:
s1, firstly, obtaining preliminary operation of a user on an examination and approval process visual interface, calling a node under an operation key according to the operation key, and generating a corresponding node control.
S11, clicking a start approval button in an approval process visualization interface by a user to start approval process visualization configuration.
When the visual configuration of the approval process is started, operating a start approval button, taking the operation start approval button as a start node of the visual configuration of the approval process, and transferring service definitions, service bill main keys and form main keys through service functions to call a process engine method, wherein the process engine acquires the service definitions and data sheet definitions;
according to the current form main key obtained by the operation, taking the form main key as a starting point, based on the definition of the flow chart, obtaining all business related data, and obtaining a current approver account number, a current approver role and a department to which the current approver belongs from system cache data;
the business function enables a user to conduct discussion and determination according to specific approval content;
the service definition content comprises service numbers, service names, service types and form data table main keys;
the definition content of the data table definition comprises a table information definition, a field information definition and a table key association definition; the table information definition contents include: a primary key, a table number, a table name, a table type; the field information definition content includes: the main key, the field number, the field name, the field Chinese name, the field type, the length, the precision and whether the table is empty or not; the table key association definition content comprises: the key belongs to a main key of a table, a key name, a key Chinese name, a main key of an associated table and a key type.
In particular, all the above-mentioned basis information is present in the configuration management database;
s12, executing corresponding approval nodes according to the operation buttons, and generating new node buttons after operating the approval nodes, wherein the new node buttons are controls for generating the nodes.
The new node key is to enter the next link after the approval node is executed, if the current link is a conditional node, branch judgment is needed, branch condition information defined by the process is obtained, engine operation is performed by traversing the branch condition information according to service related data and system operation basic data, if yes, true is returned, the process enters the branch, and if not, the condition information is redefined, and the process is performed.
According to the invention, the relevant information basis in the approval process is stored in the configuration management database, so that an accurate and effective information basis is provided for the configuration process of the approval process, the visual configuration of the approval process is rapidly and accurately realized, and the accuracy and the high efficiency of the visual configuration of the approval process are improved.
S2, acquiring the type of the child node according to the operation of the user on the approval process visual interface key, and carrying out node configuration by utilizing an optimization recommendation algorithm according to the type of the node.
S21, configuring the next approval process of the corresponding service according to the operation of a user on an approval process visual interface key, and acquiring the node type of the approval process, wherein when the node type is a main stream node:
the main stream node is a main stream approval node in the approval process; the system flow engine obtains service definition and data table definition, and the back-end providing method obtains corresponding data table definition information according to the form data table main key in the service definition. And according to the data form key relation, taking a form data form as a starting point, acquiring the associated data form and field information layer by layer, acquiring corresponding approval configuration data from a preset configuration database, and finally generating a new approval node according to the approval configuration data and the operation information.
S22, configuring the next approval process of the corresponding service according to the operation of a visual interface key of the approval process by a user, and acquiring the node type of the approval process, wherein the node type is a conditional node:
when the node is a conditional node, when a flow condition is set, clicking a flow route, popping up a branch condition setting editing page, and setting what condition the user sets under through the branch condition setting editing page, and turning to the branch; the branch condition setting editing page displays system table information and system operation basic information in a dynamic list form;
each row of content of the list comprises: leading brackets, data sources, field options, data aggregation, comparators, condition values, trailing brackets, and next condition relationship; the pre-brackets: empty or left brackets; the data sources: showing the name of a system table associated with the service and basic options for system operation; the field option: displaying corresponding field information along with data source switching; the data aggregation: when the data source selects a non-system operation basic option and the selected field is a numerical value type, showing the total value, the average value, the maximum value and the minimum value; the comparator: providing operation options such as greater than, less than, greater than or equal to, less than or equal to and the like; the condition value: inputting a box and filling in a condition value; the post brackets: empty or right brackets; the following conditional relation: empty or and, or.
In particular, the list provides an add condition and delete condition button;
particularly, the data after configuration is stored in a database for the next direct selection, so that the approval process efficiency is improved;
in particular, the user can add and delete rows as required, each row represents a condition, and each row combination and nor relation can be formed according to the pre-bracket, the post-bracket and the next condition relation to form an overall flow condition relation.
Further, when condition nodes are selected, conditions are screened by using a recommendation algorithm based on system operation data and form service data, condition information is selected, and the condition nodes are further configured.
And the system acquires corresponding data table definition information according to the form data table main key in the service definition by utilizing the prior art according to the service definition. According to the data table key relation, taking a form data table as a starting point, acquiring the associated data table and field information layer by layer, and further obtaining all limiting condition information of the condition node according to the information by utilizing a classification algorithm, wherein the limiting condition information is represented by a set Select, and the select= { S 1 ,S 2 ,…,S i ,…,S N N represents the number of limiting conditions, S i Representing the ith constraint.
Referring to fig. 2, a process flow diagram of condition selection during condition node configuration in an approval process visualization configuration method according to the present invention is shown;
firstly, calculating the related probability of the feature value limiting condition by utilizing the attribute feature weight and the attribute information of the limiting condition;
calculating the related probability of the limiting condition according to the attribute information characteristic value of the limiting condition and the attribute characteristic weight in the approval service:
……
wherein P (S) i ,S j ) Representing the associated probability of any two constraints, P (S a ,S b ,S c ) Representing the associated probability of any three constraints, P (S k1 ,S k2 ,…,S kn ) Representing the probability of correlation between any kn constraints, P (S i )、P(S j )、P(S a )、P(S b )、P(S c )、P(S k1 )、P(S k2 )、…、P(S kn ) Represents the probability that the i, j, a, b, c, k th, k2, … th and kn th defined conditions appear at the condition nodes, na i 、Na j 、Na a 、Na b 、Na c 、Na q Represents the attribute information feature value, W, corresponding to the i, j, a, b, c, q th limiting condition i 、W j 、W a 、W b 、W c 、W q Representing the attribute feature weight of the i, j, a, b, c, q th qualifications in the approval service.
Then, using the correlation probability, a correlation factor is calculated:
Con(S i ,S j )＝P(S i )P(S i ,S j )+P(S j )P(S i ,S j ),i≠j,i,j∈[1,N]
Con(S a ,S b ,S c )＝P(S a )P(S a ,S b ,S c )+P(S b )P(S a ,S b ,S c )+P(S c )P(S a ,S b ,S c ),a≠b≠c,a,b,c∈[1,N]
……
Con(S k1 ,S k2 ,…,S kn )
＝P(S k1 )P(S k1 ,S k2 ,…,S kn )+P(S k2 )P(S k1 ,S k2 ,…,S kn )+…
+P(S kn )P(S k1 ,S k2 ,…,S kn ),k1≠k2≠…≠kn,k1,k2,…,kn
∈[1,N]
wherein Con (S i ,S j ) Correlation factor, con (S a ,S b ,S c ) Correlation factor, con (S k1 ,S k2 ,…,S kn ) The correlation factor representing any kn qualifications.
Further, an association set Con, con= { Con (S) corresponding to the constraint condition contained in the condition node is obtained i ,S j ),Con(S a ,S b ,S c ),…,Con(S k1 ,S k2 ,…,S kn )}。
And finally, recommending the limiting conditions by utilizing a Viterbi algorithm according to the association factor set to obtain the optimally selected limiting conditions and configuring the conditional nodes.
According to the invention, condition nodes are configured on the basis of system operation data and form service data in an approval process, the relevant probability of a feature value limiting condition is calculated according to limiting conditions at the condition nodes by utilizing the attribute feature weight and attribute information of the limiting conditions, then a correlation set is obtained by utilizing the relevant probability, finally the limiting conditions are processed by utilizing a Viterbi algorithm in combination with the correlation set, the optimal selection of the limiting conditions is obtained, the condition nodes are configured, and the condition nodes are further accurately configured, so that the approval process configuration is more efficient.
And S3, finally, integrating operation selection of all the nodes, and giving out an approval result after comprehensive judgment to complete visual configuration of the approval process.
And performing traversal configuration on all nodes according to the step S1 and the step S2, determining an auditing result according to comprehensive auditing contents when auditing is finished, and completing the visual configuration of the auditing flow, wherein the auditing result includes that auditing is failed (failing reasons), auditing materials need to be supplemented (detailed descriptions), and auditing is successful (archiving).
In particular, all the data configured in the step S1 and the step S2 are saved in a database;
in summary, the visual configuration method of the approval process is completed.
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 flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 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.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (5)
1. The visual configuration method of the approval process is characterized by comprising the following steps:
s1, obtaining preliminary operation of a user on a review flow visual interface, calling a node under an operation key according to the operation key, and generating a corresponding node control;
s2, according to the operation of a user on the approval process visual interface key, the type of the child node is obtained, and according to the type of the node, the node configuration is carried out by utilizing an optimization recommendation algorithm;
s3, integrating operation selection of all nodes, giving an approval result after integrated judgment, and completing visual configuration of an approval process;
the step S2 specifically comprises the following steps: according to the operation of the visual interface key of the approval process by the user, configuring the next approval process of the corresponding service, and acquiring the node type of the approval process, wherein when the node type is a conditional node: when setting flow conditions, clicking a flow route, popping up a branch condition setting editing page, and enabling a user to set what conditions the flow flows to flow to the branch through the branch condition setting editing page;
the branch condition setting editing page displays system table information and system operation basic information in a dynamic list form, wherein each row of list content comprises: leading brackets, data sources, field options, data aggregation, comparators, condition values, trailing brackets, and next condition relationship; the pre-brackets refer to empty brackets or left brackets; the data source refers to a system table name showing service association and a system operation basic option; the field options refer to displaying corresponding field information along with switching of data sources; the data aggregation means that a data source selects a non-system operation basic option, and a selection field is a numerical value type, and then the aggregate, the average value, the maximum value and the minimum value are displayed; the comparer is used for providing operation options which are larger than, smaller than, larger than or equal to and smaller than or equal to each other; the condition value refers to an input box, and the condition value is filled in; the rear brackets refer to empty brackets or right brackets; the relation with the next condition refers to null or and or;
when condition nodes are selected, limiting conditions are screened by utilizing an optimization recommendation algorithm based on system operation data and form service data, and an optimal limiting condition combination is selected, so that the condition nodes are configured;
according to the service definition, acquiring corresponding data table definition information according to a table data table main key in the service definition by utilizing the prior art; according to the data table key relation, taking a form data table as a starting point, acquiring the associated data table and field information layer by layer, further obtaining all limiting condition information of the condition nodes according to the information by utilizing a classification algorithm, wherein the limiting condition information is represented by a set Select, and the select= { S 1 ，S 2 ，…，S i ，…，S N N represents the number of limiting conditions, S i Represents the i-th constraint;
when the condition nodes are configured, the limiting conditions are screened by using an optimization recommendation algorithm, and the optimal limiting condition combination is selected, wherein the specific process is as follows:
calculating the related probability of the feature value limiting condition by utilizing the attribute feature weight and the attribute information of the limiting condition;
calculating the related probability of the limiting condition according to the attribute information characteristic value of the limiting condition and the attribute characteristic weight in the approval service:
……
wherein P (S) i ，S j ) Representing the associated probability of any two constraints, P (S a ，S b ，S c ) Representing the associated probability of any three constraints, P (S k1 ，S k2 ，...，S kn ) Representing between any kn constraintsIs a correlation probability of P (S) i )、P(S j )、P(S a )、P(S b )、P(S c )、P(S k1 )、P(S k2 )、...、P(S kn ) Represents the probability that the i, j, a, b, c, k, k2, & gt, kn qualifying conditions occur at the condition node, na i 、Na j 、Na a 、Na b 、Na c 、Na q Represents the attribute information feature value, W, corresponding to the i, j, a, b, c, q th limiting condition i 、W j 、W a 、W b 、W c 、W q Attribute feature weights representing i, j, a, b, c, q th qualifications in approval business;
calculating a correlation factor using the correlation probabilities:
Con(S i ，S j )＝P(S i )P(S i ，S j )+P(S j )P(S i ，S j )，i≠j，i，j∈[1，N]
Con(S a ，S b ，S c )＝P(S a )P(S a ，S b ，S c )+P(S b )P(S a ，S b ，S c )+P(S c )P(S a ，S b ，S c )，a≠b≠c，a，b，c∈[1，N]
……
Con(S k1 ,S k2 ,...，S kn )＝P(S k1 )P(S k1 ，S k2 ，...，S kn )+P(S k2 )P(S k1 ，S k2 ，…，S kn )+...+P(S kn )P(S k1 ，S k2 ，...，S kn )，k1≠k2≠...≠kn，k1，k2，...，kn∈[1，N]
wherein Con (S i ，S j ) Correlation factor, con (S a ，S b ，S c ) Correlation factor, con (S k1 ，S k2 ，...，S kn ) A correlation factor representing any kn of the defined conditions;
obtaining the association set corresponding to the limiting condition contained in the condition nodeAnd Con, con= { Con (S i ，S j )，Con(S a ，S b ，S c )，...，Con(S k1 ，S k2 ，...，S kn )}；
And recommending the limiting conditions by utilizing a Viterbi algorithm according to the association factor set to obtain the optimal selected limiting conditions and configuring the conditional nodes.
2. The method for configuring the approval process visualization according to claim 1, wherein the step S1 specifically includes:
when the visual configuration of the approval process is started, operating a start approval button, taking the operation start approval button as a start node of the visual configuration of the approval process, and transferring service definitions, service bill main keys and form main keys through service functions to call a process engine method, wherein the process engine acquires the service definitions and data sheet definitions;
according to the current form main key obtained by the operation, taking the form main key as a starting point, based on the definition of the flow chart, obtaining all business related data, and obtaining a current approver account number, a current approver role and a department to which the current approver belongs from system cache data;
the business function enables a user to conduct discussion and determination according to specific approval content;
the service definition content comprises service numbers, service names, service types and form data table main keys;
the definition content of the data table definition comprises a table information definition, a field information definition and a table key association definition; the table information definition contents include: a primary key, a table number, a table name, a table type; the field information definition content includes: the main key, the field number, the field name, the field Chinese name, the field type, the length, the precision and whether the table is empty or not; the table key association definition content comprises: the key belongs to a main key of a table, a key name, a key Chinese name, a main key of an associated table and a key type.
3. The approval process visualization configuration method of claim 1, wherein the list provides add condition and delete condition buttons.
4. The visual configuration method of an approval process according to claim 1, wherein the data after the configuration is completed is stored in a database for the next direct selection, so as to improve the efficiency of the approval process.
5. The visual configuration method of approval process according to claim 1, wherein the user can add and delete rows as required, each row represents a condition, and each row combination and nor relationship can be formed according to the pre-bracket, the post-bracket and the next condition relationship to form an overall process condition relationship.
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