CN106408156A - Flow template recovering method and device - Google Patents
Flow template recovering method and device Download PDFInfo
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- CN106408156A CN106408156A CN201610728567.XA CN201610728567A CN106408156A CN 106408156 A CN106408156 A CN 106408156A CN 201610728567 A CN201610728567 A CN 201610728567A CN 106408156 A CN106408156 A CN 106408156A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
Abstract
The invention provides a flow template recovering method and device. The method comprises that flow instance data and node instance data which are generated when a flow defined by a flow template is executed are obtained; a basic attribute of the flow template is searched from the flow instance data, and the template basic attribute comprises a unique identification of the flow template at least; basic attributes of nodes of the flow template are searched from the node instance data associated with the basic attribute of the flow template, and the node basic attributes comprise unique identifications of the nodes and associated applications at least; according to generation time of the node instance data, one or multiple nose connecting path(s) formed by the nodes of the flow template is/are obtained; and the flow template is constructed by assembling the template basic attribute, the basic attributes of the nodes and the one/multiple connecting path(s).
Description
Technical field
A kind of it relates to flow template, in particular it relates to method and device recovering flow template.
Background technology
Flow template, defines flow process, including the access path between node and node, is the part of business procedure
Or the basis of automation under computer application environment for the entirety.Once flow template is damaged, will be unable to realize business
Automation.
At present, when flow template is damaged, it usually needs flow scheme design personnel rely on memory artificial setting stream again
Journey template.But, manually reset flow template efficiency too low it is impossible to meet the needs of fast quick-recovery business automation.
Content of the invention
In view of this, present disclose provides a kind of method and device recovering flow template, to realize fast quick-recovery automatically
The purpose of flow template.
In the one side of the embodiment of the present disclosure, there is provided a kind of method recovering flow template.The method includes：Obtain
Flow instance data and node instance data, wherein, described flow instance data and node instance data are described flow process
The data producing during flow performing defined in template；The template finding out flow template from described flow instance data is basic
Attribute, wherein, described template base attribute at least includes the unique mark of described flow template；Template from described flow template
The node base attribute of each node of described flow template is found out in the node instance data of base attribute association, wherein,
Described node base attribute at least includes the unique mark of described node and the application program of association；According to described node instance
The generation time of data, obtains the one or more node access path that each node of described flow template is formed；Will be described
Template base attribute, the node base attribute of each node described, described one or more node access path are assembled, structure
Produce described flow template.
Alternatively, methods described also includes：What the template base attribute according to described flow template associated manually handles work
Make item data, determine described flow template each node handle type, wherein, described handle type include manual type or
Automatic type；Any node handle type be manual type in the case of, from the template base attribute of described flow template
Manually handling in work item data of association, finds out transactor's information of the node of this manual type；By each node described
Transactor's information of the node handling type and manual type be assembled in described flow template.
Alternatively, methods described also includes：Described a plurality of node access path is compared, judges described a plurality of section
The branch of point access path；Described branch is arranged in described flow template.
Alternatively, methods described also includes：Using preset verification scheme, the flow template constructing is verified.
Alternatively, the described template base attribute finding out flow template from described flow instance data includes：From institute
State and in flow instance data, find out the unique mark of flow template, template name, life cycle, variable.Described from described stream
The node base of each node of described flow template is found out in the node instance data of template base attribute association of journey template
This attribute includes：Find out described flow template from the node instance data of the template base attribute association of described flow template
The unique mark of each node, nodename and association application program.
In the other side of the embodiment of the present disclosure, there is provided a kind of device recovering flow template.This device includes：
Acquisition module, is configured to obtain flow instance data and node instance data, wherein, described flow instance data and section
Point instance data is the data producing during flow performing defined in described flow template.Template attributes searching modul, is configured
It is the template base attribute finding out flow template from described flow instance data, wherein, described template base attribute is at least
Unique mark including described flow template.Nodal community searching modul, the template being configured to from described flow template is basic
The node base attribute of each node of described flow template is found out in the node instance data of Attribute Association, wherein, described
Node base attribute at least includes the unique mark of described node and the application program of association.Path acquisition module, is configured
It is the generation time according to described node instance data, obtain one or more section that each node of described flow template is formed
Point access path.Template assemblies module, is configured to substantially belong to the node of described template base attribute, each node described
Property, described one or more node access path are assembled, and construct described flow template.
Alternatively, described device also includes：Handle determination type module, be configured to the template according to described flow template
Base attribute association manually handle work item data, determine described flow template each node handle type, wherein, institute
State and handle type and include manual type or automatic type.Handle information searching module, be configured to handle class in any node
In the case that type is manual type, manually handle work item data from what the template base attribute of described flow template associated,
Find out transactor's information of the node of this manual type.Handle information assembling module, be configured to each node described
The transactor's information handling the node of type and manual type is assembled in described flow template.
Alternatively, described device also includes：Path comparing module, is configured to carry out described a plurality of node access path
Compare, judge the branch of described a plurality of node access path.Branch's setup module, is configured to for described branch to arrange institute
State in flow template.
Alternatively, described device also includes：Correction verification module, is configured to, with preset verification scheme to the stream constructing
Journey template is verified.
Alternatively, described template attributes searching modul is configured to find out flow template from described flow instance data
Unique mark, template name, life cycle, variable.Described nodal community searching modul is configured to from described flow template
The node instance data of template base attribute association in find out the unique mark of each node, the node of described flow template
Title and the application program of association.
Due to the disclosure provide technical scheme find out from described flow instance data flow template template basic
Attribute, find out from the node instance data of the template base attribute of described flow template association described flow template each
The node base attribute of node, according to the generation time of described node instance data, obtains each node of described flow template
The one or more node access path being formed, by described template base attribute, the node base attribute of each node described, institute
State one or more node access path to be assembled, construct described flow template, thus recovered flow process fast automaticly
Template, meets the needs of fast quick-recovery business automation.
Other feature and advantage of the disclosure will be described in detail in subsequent specific embodiment part.
Brief description
Accompanying drawing is used to provide further understanding of the disclosure, and constitutes the part of specification, with following tool
Body embodiment is used for explaining the disclosure together, but does not constitute restriction of this disclosure.In the accompanying drawings：
Fig. 1 is the implementation environment schematic diagram according to an exemplary embodiment.
Fig. 2 is the flow chart of a kind of method of recovery flow template according to an exemplary embodiment of the disclosure.
Fig. 3 is a kind of flow process of the method for the recovery flow template being exemplified according to the another exemplary enforcement of the disclosure
Figure.
Fig. 4 is a kind of block diagram of the device of recovery flow template according to an exemplary embodiment of the disclosure.
Fig. 5 is a kind of block diagram of the device of the recovery flow template being exemplified according to the another exemplary enforcement of the disclosure.
Specific embodiment
It is described in detail below in conjunction with accompanying drawing specific embodiment of this disclosure.It should be appreciated that this place is retouched
The specific embodiment stated is merely to illustrate and explains the disclosure, is not limited to the disclosure.
Fig. 1 is the implementation environment schematic diagram according to an exemplary embodiment.This implementation environment includes：Computer 101.
Wherein, the method that computer 101 applies the recovery flow template of embodiment of the present disclosure offer.Computer 101 can be local
Or remotely obtain flow instance data and node instance data, and according to flow instance data and node instance data recovery
Go out flow template.It is understood that described flow instance data and node instance data are the corresponding flow process of flow template
The data producing during execution.
It is understood that implementation environment shown in Fig. 1 is only used for the method illustrating the embodiment of the present disclosure to provide, do not constitute
Restriction to the embodiment of the present disclosure.
Fig. 2 is the flow chart of a kind of method of recovery flow template according to an exemplary embodiment of the disclosure.
The method can apply to computer 101 as shown in Figure 1.The method can include：
In step 210, flow instance data and node instance data are obtained.
Wherein, described flow instance data and node instance data are to produce during the flow performing of described flow template definition
Raw data.
In a step 220, find out the template base attribute of flow template from described flow instance data.
Wherein, described template base attribute at least includes the unique mark of described flow template.
For example, it is possible to find out the unique mark of flow template, template name, existence week from described flow instance data
Phase, variable.For example, for define transmission conditions variable, for operation system exchange data variable, etc..As financial approval
In flow process, the amount of money for defining transmission conditions is variable.It is understood that being called in flow template and executing corresponding
During flow process, the unique mark of flow template, template name, life cycle, all variables all can be recorded to flow instance data
In.
In step 230, find out institute from the node instance data of the template base attribute association of described flow template
State the node base attribute of each node of flow template.
Wherein, described node base attribute at least includes the unique mark of described node and the application program of association.
For example, it is possible to find out described stream from the node instance data of the template base attribute association of described flow template
The application program of the unique mark of each node of journey template, nodename and association.
It is understood that when flow template is called and executes corresponding flow process, each node of flow template is only
The application program of one mark, nodename and association all can be recorded in node instance data.
In step 240, the generation time according to described node instance data, obtains each node of described flow template
The one or more node access path being formed.
In step 250, by described template base attribute, the node base attribute of each node described, described one or
A plurality of node access path is assembled, and constructs described flow template.
It can be seen that, the technical scheme that the disclosure provides has obtained template base according to flow instance data and node instance data
This attribute, the node base attribute of each node, one or more node access path, are assembled, have been constructed stream
Journey template, thus automatically rapidly having recovered flow template, disclosure satisfy that the needs of fast quick-recovery business automation.
Fig. 3 is a kind of flow process of the method for the recovery flow template being exemplified according to the another exemplary enforcement of the disclosure
Figure.The method can apply to computer 101 as shown in Figure 1.The method can include：
In the step 310, flow instance data and node instance data are obtained.
In step 320, find out the template base attribute of flow template from described flow instance data.
In a step 330, find out institute from the node instance data of the template base attribute association of described flow template
State the node base attribute of each node of flow template.
In step 340, the generation time according to described node instance data, obtains each node of described flow template
The one or more node access path being formed.
In step 341, described a plurality of node access path is compared, judge described a plurality of node access path
Branch.
For example, for two path " A->B1->C->D”、“A->B2->C->D ", may determine that egress A by comparing
And node D is the connecting node between two paths, namely has branch between node A to node C.Wherein, select branch
Condition can be inferred according to the value of correlated variables in node instance data, or, can be obtained by outside input,
The disclosure to this and is not limited.By arranging the branch of a plurality of node access path, the flow template constructing can be made
More accurate.
In step 350, it is true that what the template base attribute according to described flow template associated manually handles work item data
Each node of fixed described flow template handle type.
Wherein, described type of handling includes manual type or automatic type.
It is understood that there being the node manually handling work item data, then can be determined that the node for manual type, no
Then, then the node for automatic type.By distinguish node handle type, the flow template constructing can be made more accurate.
In step 351, any node handle type be manual type in the case of, from the mould of described flow template
Transactor's information of the node of this manual type is found out in the work item data of plate base attribute association.
It is understood that the node of manual type is to need the node manually handled, automatic node to be automatically to execute phase
Answer the node of program.And when the node of manual type executes, if necessary to manually handle, the corresponding personnel people of request will be produced
What work was handled manually handles work item.Therefore, manually handle in work item data transactor's information of recording.
In step 360, by described template base attribute, the node base attribute of each node described, described one or
A plurality of node access path, the branch of described a plurality of node access path and each node described handle type and hand
Transactor's information of the node of dynamic type is assembled, and constructs described flow template.
In step 370, using preset verification scheme, the flow template constructing is verified.
For example, it is possible to preset verification scheme storehouse.In verification scheme storehouse, can include manual type node such as must configure
Transactor, automatic type node must configure the verification schemes such as application program.In verification, every collator can be mated one by one
System, is illegal flow template if there are ungratified.By verification, the flow template automatically constructing can be entangled
Just, thus improving flow template further.
It can be seen that, the technical scheme that the disclosure provides can be quick, accurate according to flow instance data and node instance data
Really automatically construct flow template, meet the needs of fast quick-recovery business automation.
Fig. 4 is a kind of block diagram of the device 400 of recovery flow template according to an exemplary embodiment of the disclosure.
This device can be configured at computer 101 as shown in Figure 1.This device can include：Acquisition module 410, template attributes are searched
Module 420, nodal community searching modul 430, path acquisition module 440 and template assemblies module 450.
This acquisition module 410, can be configured to obtain flow instance data and node instance data, wherein, described
Flow instance data and node instance data are the data producing during flow performing defined in described flow template.
This template attributes searching modul 420, can be configured to find out flow template from described flow instance data
Template base attribute, wherein, described template base attribute at least includes the unique mark of described flow template.
For example, this template attributes searching modul 420 can be configured to find out flow process from described flow instance data
The unique mark of template, template name, life cycle, variable.
This nodal community searching modul 430, can be configured to associate from the template base attribute of described flow template
The node base attribute of each node of described flow template is found out, wherein, described node belongs to substantially in node instance data
Property at least includes the unique mark of described node and the application program of association.
For example, this nodal community searching modul 430 can be configured to close from the template base attribute of described flow template
The unique mark of each node, nodename and the association of described flow template is found out in the node instance data of connection
Application program.
This path acquisition module 440, can be configured to the generation time according to described node instance data, obtain described
The one or more node access path that each node of flow template is formed.
This template assemblies module 450, can be configured to the node base of described template base attribute, each node described
This attribute, described one or more node access path are assembled, and construct described flow template.
It can be seen that, the technical scheme that the disclosure provides has obtained template base according to flow instance data and node instance data
This attribute, the node base attribute of each node, one or more node access path, are assembled, have been constructed stream
Journey template, thus recovered flow template fast automaticly, disclosure satisfy that the needs of fast quick-recovery business automation.
Fig. 5 is a kind of frame of the device 400 of the recovery flow template being exemplified according to the another exemplary enforcement of the disclosure
Figure.As shown in figure 5, this device also includes：Handle determination type module 460, can be configured to according to described flow template
Template base attribute association manually handle work item data, determine described flow template each node handle type, its
In, described type of handling includes manual type or automatic type.Handle information searching module 461, can be configured to arbitrary
Node handle in the case that type is manual type, manually handle work from the association of the template base attribute of described flow template
Make in item data, find out transactor's information of the node of this manual type.Handle information assembling module 462, can be configured
It is that transactor's information of the node handling type and manual type of each node described is assembled in described flow template.
In a kind of possible embodiment, as shown in figure 5, this device can also include：Path comparing module 470 is permissible
It is configured to described a plurality of node access path is compared, judge the branch of described a plurality of node access path.Branch
Setup module 471, can be configured to arrange described branch in described flow template.
In a kind of possible embodiment, as shown in figure 5, this device can also include：Correction verification module 480, can be joined
It is set to and using preset verification scheme, the flow template constructing is verified.
Describe the preferred embodiment of the disclosure above in association with accompanying drawing in detail, but, the disclosure is not limited to above-mentioned reality
Apply the detail in mode, in the range of the technology design of the disclosure, multiple letters can be carried out with technical scheme of this disclosure
Monotropic type, these simple variant belong to the protection domain of the disclosure.
It is further to note that each particular technique feature described in above-mentioned specific embodiment, in not lance
In the case of shield, can be combined by any suitable means.In order to avoid unnecessary repetition, the disclosure to various can
The combination of energy no longer separately illustrates.
Additionally, can also be combined between the various different embodiment of the disclosure, as long as it is without prejudice to this
Disclosed thought, it equally should be considered as disclosure disclosure of that.
Claims (10)
1. a kind of method recovering flow template is it is characterised in that include：
Obtain flow instance data and node instance data, wherein, described flow instance data and node instance data are
The data producing during flow performing defined in described flow template；
Find out the template base attribute of flow template from described flow instance data, wherein, described template base attribute is extremely
Include the unique mark of described flow template less；
Find out from the node instance data of the template base attribute of described flow template association described flow template each
The node base attribute of node, wherein, described node base attribute at least includes the unique mark of described node and association
Application program；
According to the generation time of described node instance data, obtain that each node of described flow template is formed one or more
Node access path；
By described template base attribute, the node base attribute of each node described, described one or more node access path
Assembled, constructed described flow template.
2. method according to claim 1 is it is characterised in that methods described also includes：
What the template base attribute according to described flow template associated manually handles work item data, determines described flow template
Each node handle type, wherein, described type of handling includes manual type or automatic type；
Handling in the case that type is manual type in any node, associates from the template base attribute of described flow template
Manually handle in work item data, find out transactor's information of the node of this manual type；
Transactor's information of the node handling type and manual type of each node described is assembled into described flow template
In.
3. method according to claim 1 is it is characterised in that methods described also includes：
Described a plurality of node access path is compared, judges the branch of described a plurality of node access path；
Described branch is arranged in described flow template.
4. method according to claim 1 is it is characterised in that methods described also includes：
Using preset verification scheme, the flow template constructing is verified.
5. method according to claim 1 is it is characterised in that described find out flow process mould from described flow instance data
The template base attribute of plate includes：
The unique mark of flow template, template name, life cycle, variable is found out from described flow instance data；
Described flow template is found out the described node instance data of template base attribute association from described flow template
The node base attribute of each node includes：
Find out from the node instance data of the template base attribute of described flow template association described flow template each
The application program of the unique mark of node, nodename and association.
6. a kind of device recovering flow template is it is characterised in that include：
Acquisition module, is configured to obtain flow instance data and node instance data, wherein, described flow instance data with
And node instance data is the data producing during flow performing defined in described flow template；
Template attributes searching modul, the template being configured to find out flow template from described flow instance data belongs to substantially
Property, wherein, described template base attribute at least includes the unique mark of described flow template；
Nodal community searching modul, is configured to from the node instance data of the template base attribute association of described flow template
Find out the node base attribute of each node of described flow template, wherein, described node base attribute at least includes described
The unique mark of node and the application program of association；
Path acquisition module, is configured to the generation time according to described node instance data, obtains each of described flow template
The one or more node access path that individual node is formed；
Template assemblies module, be configured to by described template base attribute, the node base attribute of each node described, described one
Bar or a plurality of node access path are assembled, and construct described flow template.
7. device according to claim 6 is it is characterised in that described device also includes：
Handle determination type module, be configured to the template base attribute association according to described flow template manually handles work
Item data, determine described flow template each node handle type, wherein, described handle type include manual type or from
Dynamic type；
Handle information searching module, be configured to any node handle type be manual type in the case of, from described stream
Manually handling in work item data of the template base attribute association of journey template, finds out the transactor of the node of this manual type
Information；
Handle information assembling module, be configured to handling the node handling type and manual type of each node described
People's information is assembled in described flow template.
8. device according to claim 6 is it is characterised in that described device also includes：
Path comparing module, is configured to described a plurality of node access path is compared, and judges described a plurality of node even
Meet the branch in path；
Branch's setup module, is configured to arrange described branch in described flow template.
9. device according to claim 6 is it is characterised in that described device also includes：
Correction verification module, is configured to, with preset verification scheme and the flow template constructing is verified.
10. device according to claim 6 is it is characterised in that described template attributes searching modul is configured to from described
The unique mark of flow template, template name, life cycle, variable is found out in flow instance data；
Described nodal community searching modul is configured to the node instance number of the template base attribute association from described flow template
According in find out described flow template the unique mark of each node, nodename and association application program.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111144837A (en) * | 2019-12-13 | 2020-05-12 | 东软集团股份有限公司 | Flow arrangement method and device, storage medium and electronic equipment |
| CN112433702A (en) * | 2020-12-19 | 2021-03-02 | 合肥汉腾信息技术有限公司 | Lightweight process design system and method |
| CN114546731A (en) * | 2022-03-09 | 2022-05-27 | 北京有生博大软件股份有限公司 | Workflow data recovery method and data recovery system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101387958A (en) * | 2008-10-20 | 2009-03-18 | 东软集团股份有限公司 | Image data processing method and apparatus |
| CN102169500A (en) * | 2011-04-19 | 2011-08-31 | 北京神州数码思特奇信息技术股份有限公司 | Dynamic service flow display device |
| CN102810184A (en) * | 2011-06-01 | 2012-12-05 | 金蝶软件（中国）有限公司 | Method and device for dynamically executing workflow and enterprise system |
-
2016
- 2016-08-25 CN CN201610728567.XA patent/CN106408156A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101387958A (en) * | 2008-10-20 | 2009-03-18 | 东软集团股份有限公司 | Image data processing method and apparatus |
| CN102169500A (en) * | 2011-04-19 | 2011-08-31 | 北京神州数码思特奇信息技术股份有限公司 | Dynamic service flow display device |
| CN102810184A (en) * | 2011-06-01 | 2012-12-05 | 金蝶软件（中国）有限公司 | Method and device for dynamically executing workflow and enterprise system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111144837A (en) * | 2019-12-13 | 2020-05-12 | 东软集团股份有限公司 | Flow arrangement method and device, storage medium and electronic equipment |
| CN112433702A (en) * | 2020-12-19 | 2021-03-02 | 合肥汉腾信息技术有限公司 | Lightweight process design system and method |
| CN114546731A (en) * | 2022-03-09 | 2022-05-27 | 北京有生博大软件股份有限公司 | Workflow data recovery method and data recovery system |
| CN114546731B (en) * | 2022-03-09 | 2024-04-05 | 北京有生博大软件股份有限公司 | Workflow data recovery method and data recovery system |
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Application publication date: 20170215 |