CN111859884A - Statistical method for full history stack of approval data - Google Patents
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- CN111859884A CN111859884A CN202010473956.9A CN202010473956A CN111859884A CN 111859884 A CN111859884 A CN 111859884A CN 202010473956 A CN202010473956 A CN 202010473956A CN 111859884 A CN111859884 A CN 111859884A
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- 238000007619 statistical method Methods 0.000 title claims abstract description 18
- 238000012795 verification Methods 0.000 claims abstract description 14
- FGUUSXIOTUKUDN-IBGZPJMESA-N C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 Chemical compound C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 FGUUSXIOTUKUDN-IBGZPJMESA-N 0.000 claims description 19
- 238000000034 method Methods 0.000 abstract description 15
- 230000007547 defect Effects 0.000 description 3
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
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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
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Abstract
The invention relates to the field of data approval, in particular to a full history stack statistical method for approved data, which can flexibly modify a variable field and save history variation. The invention discloses a business process of a statistical method for an approval data full history stack, which comprises the following steps: selecting an approval template for editing, and releasing after editing is completed; carrying out template verification on the issued file, re-editing if the issued file does not pass the template verification, and submitting the issued file to a server if the issued file passes the template verification; comparing fields in the new and old approval templates, if the fields change, acquiring the influence range of the change, judging whether the statistical form is influenced, if the influence range is influenced, triggering the filing to generate a statistical form updating approval template, and if the fields do not change, directly updating the approval template; and finishing the template release after the template release is successful. Compared with the prior art, the method can flexibly modify the change field and store historical change data, and can acquire accurate data through query, export and the like.
Description
Technical Field
The invention relates to the field of data approval, in particular to a full history stack statistical method for approved data, which can flexibly modify a variable field and save history variation.
Background
The examination and approval system is developed particularly rapidly in the computer field in recent years, and becomes a research hotspot in the current IT field, and in practical application, various industries have various workflows, and as long as flow work affairs are involved, examination and approval workflows need to be used, and the examination and approval workflow capable of being configured flexibly becomes an indispensable part of the current mainstream industrial and office systems, but the examination and approval templates are configured flexibly and simultaneously the statistical difficulty of examination and approval data is brought.
In the current flexibly configurable process approval system on the market, there are usually two solutions for deleting and changing fields in an approval process (which is submitted by an existing user) template issued and started to be used. The first scheme is as follows: the program makes a limitation, the administrator is not allowed to directly delete the fields under the template, only the approval template can be reconfigured and the approval process can be reissued, so that the process data can be accurately and unmistakably counted and displayed, and the defect is that the original approval process needs to be stopped for deleting the fields and then a new approval process (such as remote OA) needs to be reissued. Scheme II: the field change of the issued approval template is not limited, an administrator can modify and delete the fields under the issued approval process at will, but when the fields are deleted and statistically displayed, the submitted data under the deleted or modified fields are lost (such as cloud family and nailing) or displayed in a misplaced manner (such as enterprise WeChat).
The conventional process approval system in the market does not support deletion and change of fields of published approval templates or can not accurately count historical data under the approval templates before and after the change of the published approval templates. An examination and approval form template is added for filing, the published examination and approval template is triggered when deletion and change are carried out, then the historical version of the examination and approval template can be selected from a statistical report, and all historical data under the template are accurately counted and displayed.
The first scheme has the following disadvantages: the fields contained in the issued approval process template cannot be flexibly modified, deleted, and the like.
The second scheme has the following defects: the data under the deleted and changed fields in the display approval process template cannot be accurately counted, and the historical change condition of the data cannot be displayed.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the method for counting the full history stack of the approval data, which can flexibly modify the change field and save the history change.
The technical scheme adopted by the invention is as follows: the statistical method for the full history stack of the approval data comprises the following steps:
a. selecting an approval template, editing, and releasing after editing is completed;
b. the template of the issued file is checked, if the issued file does not pass through the template, the step a is returned, and if the issued file passes through the template, the step c is executed;
c. Submitting the issued file to a server;
d. comparing the new and old approval templates, judging that the templates change, executing the step e if the templates change, and skipping to the step f if the templates do not change;
e. obtaining the influence range of the current change, judging whether the statistical report is influenced, and if the influence is influenced, triggering the archiving to generate the statistical report; if no influence exists, executing the step f;
f. updating the examination and approval template;
g. and finishing the release after the successful release.
In step f, in step a, the required examination and approval template is selected, the corresponding content is edited according to the requirement, and the edited file is released to the next node.
In step f, in step b, the published file is subjected to template verification, whether the file and the template are matched with the current node content is judged, if the verification fails, the content is edited again, and the verification is carried out again after the editing is finished.
In step f, in step d, the original approved template is obtained, the fields in the new template and the old template are compared to judge whether the fields are changed, if so, step e is executed, and if not, step f is skipped.
In step f, in step e, obtaining the influence range of the field changed this time, judging whether the statistical form is influenced, if so, triggering the filing to generate the statistical form; and if not, executing the step f.
In step f, comparing the fields in the examination and approval template before and after updating, and triggering to archive when the field is lost when the original data is counted according to the field of the new template.
In step f, when the statistical form is generated, the statistical form is archived according to the field of the original data by taking time as a dimension, and the statistical form is generated.
In step f, after the approval template is filed, the filing time line is selected for inquiring and exporting the report form, and accurate data is obtained.
The invention has the beneficial effects that: the invention discloses a statistical method for an approval data full history stack, which comprises the steps of firstly selecting an approval template, editing, and releasing after editing is completed; carrying out template verification on the issued file, if the issued file does not pass through the template, reselecting the template, and if the issued file passes through the template, submitting the issued file to a server; and comparing the new and old approval templates, judging whether the new and old approval templates change, if so, acquiring the influence range of the change, judging whether the statistical form is influenced, if so, triggering archiving, generating a statistical form updating approval template, if not, directly updating the approval template, and finishing after the approval is successful. Compared with the prior art, the method can flexibly modify the change field and store historical change data, and can acquire accurate data through query, export and the like.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a block flow diagram of a statistical method for an approval data full history stack according to the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Example 1:
as shown in FIG. 1, the statistical method for the full history stack of the approval data of the invention comprises the following steps:
a. selecting an approval template, editing, and releasing after editing is completed;
b. the template of the issued file is checked, if the issued file does not pass through the template, the step a is returned, and if the issued file passes through the template, the step c is executed;
c. Submitting the issued file to a server;
d. comparing the new and old approval templates, judging that the templates change, executing the step e if the templates change, and skipping to the step f if the templates do not change;
e. obtaining the influence range of the current change, judging whether the statistical report is influenced, and if the influence is influenced, triggering the archiving to generate the statistical report; if no influence exists, executing the step f;
f. updating the examination and approval template;
g. and finishing the release after the successful release.
The invention discloses a statistical method for an approval data full history stack, which comprises the steps of firstly selecting an approval template, editing, and releasing after editing is completed; carrying out template verification on the issued file, if the issued file does not pass through the template, reselecting the template, and if the issued file passes through the template, submitting the issued file to a server; and comparing the new and old approval templates, judging whether the new and old approval templates change, if so, acquiring the influence range of the change, judging whether the statistical form is influenced, if so, triggering archiving, generating a statistical form updating approval template, if not, directly updating the approval template, and finishing after the approval is successful. Compared with the prior art, the method can flexibly modify the change field and store historical change data, and can acquire accurate data through query, export and the like. In the step a, the required used examination and approval template is selected, the corresponding content is edited according to the requirement, and the edited file is released to the next node.
In the step b, template verification is carried out on the issued file, whether the file and the template are matched with the current node content or not is judged, if verification fails, the content is edited again, and verification is carried out again after editing is finished.
In the step d, the original approved template is obtained, the fields in the new template and the old template are compared, whether the fields are changed or not is judged, if yes, the step e is executed, and if not, the step f is skipped. In the step e, obtaining the influence range of the current change field, judging whether the influence range influences the statistical form, and if so, triggering the archiving to generate the statistical form; and if not, executing the step f. Comparing fields in the examination and approval templates before and after updating, and triggering filing when the field is lost when the original data (examination and approval data initiated before updating) is counted according to the field of the new template.
And when the statistical report is generated, archiving according to the field of the original data by taking time as a dimension and generating the statistical report. After the approval template is filed, no matter what kind of change occurs to the template, a filing time line (original approval template creating time) is selected for carrying out report form inquiry and export, the obtained data is accurate, and the condition of data loss or dislocation cannot occur.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (8)
1. The statistical method for the full history stack of the approval data is characterized by comprising the following steps of:
a. selecting an approval template, editing, and releasing after editing is completed;
b. the template of the issued file is checked, if the issued file does not pass through the template, the step a is returned, and if the issued file passes through the template, the step c is executed;
c. submitting the issued file to a server;
d. comparing the new and old approval templates, judging that the templates change, executing the step e if the templates change, and skipping to the step f if the templates do not change;
e. obtaining the influence range of the current change, judging whether the statistical report is influenced, and if the influence is influenced, triggering the archiving to generate the statistical report; if no influence exists, executing the step f;
f. Updating the examination and approval template;
g. and finishing the release after the successful release.
2. The approval data full history stack statistical method of claim 1, wherein: in the step a, the required used examination and approval template is selected, the corresponding content is edited according to the requirement, and the edited file is released to the next node.
3. The approval data full history stack statistical method of claim 2, wherein: in the step b, template verification is carried out on the issued file, whether the file and the template are matched with the current node content or not is judged, if verification fails, the content is edited again, and verification is carried out again after editing is finished.
4. The approval data full history stack statistical method of claim 3, wherein: in the step d, the original approved template is obtained, the fields in the new template and the old template are compared, whether the fields are changed or not is judged, if yes, the step e is executed, and if not, the step f is skipped.
5. The approval data full history stack statistical method of claim 4, wherein: in the step e, obtaining the influence range of the current change field, judging whether the influence range influences the statistical form, and if so, triggering the archiving to generate the statistical form; and if not, executing the step f.
6. The approval data full history stack statistical method of claim 5, wherein: and e, comparing the fields in the examination and approval template before and after updating, and triggering filing when the field is lost when the original data is counted according to the field of the new template.
7. The approval data full history stack statistical method of claim 6, wherein: and when the statistical report is generated, archiving according to the field of the original data by taking time as a dimension and generating the statistical report.
8. The approval data full history stack statistical method of claim 7, wherein: after the examination and approval template is filed, a filing time line is selected for inquiring and exporting the report, and accurate data is obtained.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010473956.9A CN111859884A (en) | 2020-05-29 | 2020-05-29 | Statistical method for full history stack of approval data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113220703A (en) * | 2021-05-31 | 2021-08-06 | 普瑞纯证医疗科技(广州)有限公司 | Method, server and system for updating medical data based on big data platform |
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2020
- 2020-05-29 CN CN202010473956.9A patent/CN111859884A/en active Pending
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| CN113220703A (en) * | 2021-05-31 | 2021-08-06 | 普瑞纯证医疗科技(广州)有限公司 | Method, server and system for updating medical data based on big data platform |
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