CN112559817A - Report content checking method, system, computer equipment and storage medium - Google Patents
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Abstract
The invention discloses a report content verification method, which comprises the steps of determining key attention fields in a report according to all acquired data, designing a regular expression for each key attention field according to the type and the attribute of each key attention field, and establishing a regular expression set; importing N known correct reports, extracting a plurality of key data characteristics of the reports, correcting regular expressions according to the extracted key data characteristics, outputting the corrected regular expressions, and establishing a standard regular expression set; and importing a target report, checking the text content of the target report, and displaying an error or prompting an abnormal position when the content of the target report is not consistent with the regular expression, and highlighting the error or prompting the abnormal position. The invention also discloses a report content checking system, computer equipment and a storage medium. The invention improves the flexibility and accuracy of the verification.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to a method and a system for checking report contents, computer equipment and a storage medium.
Background
The report forms are used for dynamically displaying data in forms, charts and other formats. Before computers were not available, people recorded data with paper and pens, and errors generally occurred in that reports were either misread when they were written line by line into the summary sheet, or missed when they were reviewed. After the advent of the computer age, data was recorded by computer software, and while efficiency was improved, errors still occurred. To avoid these errors or minimize them, the verification step is an important link in the report.
With the development of computer technology, the cloud era has come, and in daily life, work and entertainment, more and more data are generated based on networks, and infinite value is stored in mass data, so that data can be counted and processed into various reference indexes from different dimensions to form a data report, and the data can be analyzed more visually. For example, for an enterprise company, the management status of the enterprise can be reflected by constructing a financial report so as to provide effective decision support. However, as the data report is increasingly complex and the report amount increases, the verification is particularly important, and if the verification is performed only by manual verification, the workload is very large, a large amount of manpower and material resources are needed for processing, so that not only is the resource waste seriously caused, but also the artificial error or error rate is difficult to control.
In order to improve the verification efficiency and the verification accuracy, different verification systems and platforms appear successively, for example, CN 201910602951.9 discloses a report data verification method, in which a corresponding data verification rule is obtained according to a report data verification request, report data corresponding to the data verification rule is further obtained, and then the report data is directly verified according to the data verification rule, so as to obtain a report data verification result. The processing is carried out without manpower input, and the checking processing efficiency of the report data is improved. However, the verification rule of the method is established, once the report content layout changes, the verification rule needs to be reconstructed, the flexibility is not strong, and the verification accuracy cannot be guaranteed.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a report content verification method, which does not need to adjust and correct the verification rules for the same type of table for many times, improves the verification flexibility, can automatically integrate and verify the contents of the subsequently uploaded report, and improves the verification accuracy.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
a method for checking report contents includes
Step 1: traversing users and report types, obtaining all data in a user report, analyzing data required by a single item in the report and data required by a plurality of item joint analysis to form rules according to all the obtained data, determining key focus fields in the report, designing a regular expression for each key focus field according to the type and the attribute of the key focus field, and establishing a regular expression set;
step 2: importing N known correct reports, extracting a plurality of key data characteristics of the reports, associating the key data characteristics with the regular expression according to attribute information of the key data characteristics, correcting the regular expression according to the extracted key data characteristics when a certain key data characteristic is not consistent with the regular expression, and outputting the corrected regular expression; correcting each regular expression according to the same steps, and establishing a standard regular expression set;
and step 3: and importing a target report, extracting text content from the target report, matching the report content according to each regular expression, checking the text content, and displaying an error or prompting an abnormal position and highlighting when the target report content does not accord with the regular expression.
As a further and optional solution, the step 1 of establishing the regular expression set specifically includes,
s11, according to the type and the attribute of the focus field, combining at least one specific symbol for matching any character as a matching item of the regular expression, and sequencing the matching item to form at least one regular expression;
s12 takes each kind of data in the report content as a node, numbers each node to clarify the data type represented by the node, calculates the regular expression of each node in the table content according to the connection relation of each node and the number, and takes all the regular expressions as the character string codes of the data structure to construct a regular expression set.
As a further alternative, the single item of the present invention includes one of a row, a column, a header, and a grid position.
As a further and optional solution, the specific steps of verifying the text content described in the present invention include:
determining the matching degree of the text content;
determining a verification result for verifying the text content based on the matching degree;
judging whether the matching degree is greater than or equal to a preset matching degree;
if so, judging that the text content passes the verification;
if not, the text content check is judged not to pass.
As a further and optional scheme, the regular expression set described in the present invention includes a regular expression for a header, a regular expression for a column name, a regular expression for a row name, a regular expression for a lattice attribute, and a regular expression for a lattice content.
As a further and optional scheme, the key data features of the present invention are one or more of data format, text length, numerical size, decimal floating point, language, decimal decimals, and column decimals.
As a further and optional aspect, the method of the present invention further comprises
And 4, step 4: and aiming at the display error or prompt abnormity, a correction suggestion is provided for the report to be verified, specifically, a regular expression is retrieved according to the position of the display error or prompt abnormity, a part of characteristics corresponding to the display error or prompt abnormity characteristics are taken out from the regular expression, and the part of characteristics are output.
The invention also provides a report content checking method, which comprises
Step 1: importing N known correct reports, extracting a plurality of key data characteristics of the reports, associating the key data characteristics with an automatically generated regular expression according to attribute information of the key data characteristics, and establishing a set of the key data characteristics and the regular expression;
step 2: introducing new target reports in large batch, reporting errors for the contents of the reports, selecting a certain characteristic to compare with the key data characteristic, reporting errors if the characteristics are not matched, retrieving regular expressions according to the characteristics of the reported errors, and taking the regular expressions with high enough task matching degree as the regular expressions for checking;
and step 3: importing a target report to be verified, extracting text content from the target report, matching the report content according to each regular expression, verifying the text content, and displaying an error or prompting an abnormal position and highlighting when the target report content does not accord with the regular expression.
The invention also provides a report content checking system, which comprises
The report import module is used for importing a target report according to a user instruction;
the analysis and construction module is used for acquiring data of a target report, analyzing data required by a single item in the report and data construction rules required by joint analysis of a plurality of items according to all the acquired data and user instructions, determining key focus fields in the report, designing a design regular expression of each key focus field according to the type and the attribute of each key focus field, and establishing a regular expression set;
the verification rule correction module is used for acquiring a plurality of key data features in a known and correct report, associating the attribute information of the key data features with the regular expression according to a user instruction, correcting the regular expression according to the extracted key data features when a certain key data feature is not consistent with the regular expression, and outputting the corrected regular expression; correcting each regular expression according to the same steps, and establishing a standard regular expression set;
and the report verification processing module is used for verifying the contents of the target report according to the regular expression.
The invention also provides computer equipment which comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the report content checking method when executing the computer program.
The invention also provides a storage medium, wherein the storage medium is stored with a computer program, and the computer program realizes the steps of the report content verification method when being executed by a processor.
Compared with the prior art, the invention has the beneficial effects that:
the report content verification method provided by the invention verifies the target report content through the regular expression, corrects the regular expression through the key data characteristics, introduces the key data characteristics into the regular expression, does not need to re-edit the regular expression as long as the key data items corresponding to the report do not change when the layout of the report changes, and improves the flexibility of the verification rule. Because the key data characteristics come from the known and correct report contents, errors are not easy to occur in verification, and the verification accuracy is improved.
The present invention will be described in further detail with reference to specific embodiments.
Detailed Description
The report content checking method comprises the following steps
Step 1: traversing the types of the user and the report to obtain all data in the user report, analyzing data required by a single item in the report and data required by the joint analysis of a plurality of items according to all the obtained data to form rules, determining key focus fields in the report, designing a regular expression for each key focus field according to the type and the attribute of the key focus field, establishing a regular expression set, specifically comprising the steps of,
s11, according to the type and the attribute of the focus field, combining at least one specific symbol for matching any character as a matching item of the regular expression, and sequencing the matching item to form at least one regular expression;
s12, taking each type of data in the report content as a node, numbering each node to clarify the data type represented by the node, calculating the regular expression of each node in the table content according to the connection relation and the number of each node, taking all the regular expressions as the character string codes of the data structure, and constructing a regular expression set;
step 2: importing N known correct reports (wherein the number of N is greater than or equal to 5), extracting a plurality of key data characteristics of the reports, associating the key data characteristics with the regular expression according to attribute information of the key data characteristics, correcting the regular expression according to the extracted key data characteristics when a certain key data characteristic is not consistent with the regular expression, and outputting the corrected regular expression; correcting each regular expression according to the same steps, and establishing a standard regular expression set;
and step 3: importing a target report (starting from the (N + 1) th table), extracting text contents from the target report, matching the report contents according to each regular expression, checking the text contents, and displaying an error or prompting an abnormal position and highlighting when the target report contents do not accord with the regular expressions; the specific steps of verifying the text content comprise:
determining the matching degree of the text content;
determining a verification result for verifying the text content based on the matching degree;
judging whether the matching degree is greater than or equal to a preset matching degree;
if so, judging that the text content passes the verification;
if not, the text content check is judged not to pass.
As a further and optional scheme, the regular expression set described in the present invention includes a regular expression for a header, a regular expression for a column name, a regular expression for a row name, a regular expression for a lattice attribute, and a regular expression for a lattice content.
As a further and optional scheme, the key data features of the present invention are one or more of data format, text length, numerical size, decimal floating point, language, decimal decimals, and column decimals.
As a further and optional aspect, the method of the present invention further comprises
And 4, step 4: and aiming at the display error or prompt abnormity, a correction suggestion is provided for the report to be verified, specifically, a regular expression is retrieved according to the position of the display error or prompt abnormity, a part of characteristics corresponding to the display error or prompt abnormity characteristics are taken out from the regular expression, and the part of characteristics are output.
The invention also provides a report content checking system, which comprises
The report import module is used for importing a target report according to a user instruction;
the analysis and construction module is used for acquiring data of a target report, analyzing data required by a single item in the report and data construction rules required by joint analysis of a plurality of items according to all the acquired data and user instructions, determining key focus fields in the report, designing a design regular expression of each key focus field according to the type and the attribute of each key focus field, and establishing a regular expression set;
the verification rule correction module is used for acquiring a plurality of key data features in a known and correct report, associating the attribute information of the key data features with the regular expression according to a user instruction, correcting the regular expression according to the extracted key data features when a certain key data feature is not consistent with the regular expression, and outputting the corrected regular expression; correcting each regular expression according to the same steps, and establishing a standard regular expression set;
and the report verification processing module is used for verifying the contents of the target report according to the regular expression.
The invention also provides computer equipment which comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the report content checking method when executing the computer program.
The invention also provides a storage medium, wherein the storage medium is stored with a computer program, and the computer program realizes the steps of the report content verification method when being executed by a processor.
Example 1
Taking an EXCEL template report as an example, the report content verification method comprises the steps of
Step 1: traversing users and report types, obtaining all data in a user report, analyzing data required by a single item (such as a header, a column, a row, a grid position and grid content) in the report and data required by joint analysis of a plurality of items according to all the obtained data to form a rule, determining key focus fields in the report, designing a design regular expression of each key focus field according to the type and the attribute of the key focus field, establishing a regular expression set, specifically comprising the steps of,
s11, according to the type and the attribute of the focus field, combining at least one specific symbol for matching any character as a matching item of the regular expression, and sequencing the matching item to form at least one regular expression;
s12, taking each type of data in the report content as a node, numbering each node to clarify the data type represented by the node, calculating the regular expression of each node in the table content according to the connection relation and the number of each node, taking all the regular expressions as the character string codes of the data structure, and constructing a regular expression set; in this step, each type of data refers to data as one type, by row, column, table content, table position, or the like, and the established regular expressions include a regular expression for a header, a regular expression for a name of a certain column, a regular expression for a name of a certain row, a regular expression for an attribute of a certain cell, a regular expression for a value of a certain cell, generally, a format for a value (for example, 2 bits are left after a decimal point), and a range of values (for example, 0 to 10 ten thousand);
step 2: importing N known correct reports, extracting a plurality of key data characteristics of the reports, wherein the key data characteristics comprise data formats, text lengths, numerical values, decimal floating points, languages, row numerical values, column numerical values and the like, associating the key data characteristics with the regular expressions according to attribute information of the key data characteristics, and when a certain key data characteristic is not consistent with the regular expressions, correcting the regular expressions according to the extracted key data characteristics and outputting the corrected regular expressions; correcting each regular expression according to the same steps, and establishing a standard regular expression set; in this step, the specific method of extraction includes:
s21 extracting the content of the grid, and assigning a grid, generally, the grid address is (r, c), i.e. the r-th row and c-th column, (1) recording the data format of the grid, including date, currency, text, etc.; (2) if the text is the text, recording the length of the longest text so far; (3) if the number is the longest number, recording the number of digits of the number; (4) if the number is a digit, recording the smallest number floating point number which is the most up to now; (5) recording the language used, such as simplified Chinese, traditional Chinese, English in British, English in America; taking the data format, text, number and language used for recording as key data characteristics;
s22 extracting line content, giving the r-th line of a certain line, recording a line numerical subtotal, namely if the line numerical subtotal is a number, recording the sum of all grid numerical values of the line, and taking the maximum numerical value as a key data feature, wherein the maximum numerical value is the sum of all grid numerical values of the line;
s23 extracting the content of the column, and given the a-th column of a certain column, recording the column numerical subtotal, namely if the column is a number, recording the sum of all grid numerical values of the column, and the maximum numerical value up to now; taking the maximum value as a key data characteristic;
and step 3: importing a target report, extracting text content from the target report, matching the report content according to each regular expression, checking the text content, and displaying an error or prompting an abnormal position and highlighting when the target report content does not accord with the regular expressions; the specific steps of verifying the text content comprise:
determining the matching degree of the text content;
determining a verification result for verifying the text content based on the matching degree;
judging whether the matching degree is greater than or equal to a preset matching degree; the preset matching pair calculation mode is as follows: matching degree is similarity coefficient, data format difference coefficient and language difference coefficient;
wherein the similarity coefficient is text length (x, y)/text length (r, c) + numerical size (x, y)/numerical size (r, c) + decimal floating point (x, y)/decimal floating point (r, c); wherein (x, y) refers to the characteristics in the target report to be verified, and (r, c) refers to the characteristics extracted from the regular expression (the same below);
the data format difference coefficient is expressed by a formula (i), if the data format (r, c) is different from the data format (x, y), the coefficient takes a value of 0.5; (ii) if the data format (r, c) is the same as the data format (x, y), the coefficient takes a value of 0.0;
the language dissimilarity coefficient is calculated, and the formula is expressed as (i) if the language (r, c) does not contain the language (x, y), the coefficient takes the value of 0.5; (ii) if the language (r, c) contains the language (x, y), the coefficient takes the value 0.0; (x, y) represents the content in the target report to be verified, and (r, c) represents the characteristics taken out from the regular expression;
if the matching degree exceeds 2.0, the matching degree is considered to be greater than or equal to the preset matching degree, and the text content is judged to pass the verification;
if the matching degree is less than 2.0, the matching degree is considered to be less than the preset matching degree, and the text content verification is judged not to pass.
Example 2
On the basis of the scheme of the embodiment 1, the method further comprises the following step
And 4, step 4: and aiming at the display error or prompt abnormity, a correction suggestion is provided for the report to be verified, specifically, a regular expression is retrieved according to the position of the display error or prompt abnormity, a part of characteristics corresponding to the display error or prompt abnormity characteristics are taken out from the regular expression, and the part of characteristics are output. The user makes corrections to the table contents based on the characteristics of the output section.
Example 3
Taking an EXCEL template report as an example, the report content verification method comprises the steps of
Step 1: importing N known correct reports, extracting a plurality of key data characteristics of the reports, associating the key data characteristics with an automatically generated regular expression according to attribute information of the key data characteristics, and establishing a set of the key data characteristics and the regular expression; in this step, the specific method of extraction includes:
s11 extracting the content of the grid, and assigning a grid, generally, the grid address is (r, c), i.e. the r-th row and c-th column, (1) recording the data format of the grid, including date, currency, text, etc.; (2) if the text is the text, recording the length of the longest text so far; (3) if the number is the longest number, recording the number of digits of the number; (4) if the number is a digit, recording the smallest number floating point number which is the most up to now; (5) recording the language used, such as simplified Chinese, traditional Chinese, English in British, English in America; taking the data format, text, number and language used for recording as key data characteristics;
s12 extracting line content, giving the r-th line of a certain line, recording a line numerical subtotal, namely if the line numerical subtotal is a number, recording the sum of all grid numerical values of the line, and taking the maximum numerical value as a key data feature, wherein the maximum numerical value is the sum of all grid numerical values of the line;
s13 extracting the content of the column, and given the a-th column of a certain column, recording the column numerical subtotal, namely if the column is a number, recording the sum of all grid numerical values of the column, and the maximum numerical value up to now; taking the maximum value as a key data characteristic;
step 2: introducing new target reports in large batch, reporting errors for the contents of the reports, selecting a certain characteristic to compare with the key data characteristic, reporting errors if the characteristics are not matched, retrieving the regular expression according to the characteristics reported with the errors, and taking the regular expression with high enough task matching degree (when the matching degree is more than or equal to 2, the matching degree is considered to be high enough, and the calculation formula of the matching degree is the same as that of the embodiment 1) as the regular expression for verification; the specific steps of error reporting of the form content include
S21, a grid in the given form is given, (a) the grid is compared with the extracted data format characteristics, if the grid is not matched with the extracted data format characteristics, the data format is reported to be wrong; (b) comparing with the extracted text length feature, if the feature is less than 50% of the text length of the grid, reporting that the text length is longer and suspected to be wrong; (c) comparing the extracted numerical value size characteristic with the extracted numerical value size characteristic, and if the characteristic is less than 50% of the numerical value of the grid, reporting that the numerical value is larger and suspected to be wrong; (d) comparing the characteristics with the extracted decimal floating point characteristics, and if the characteristics are more than 1 bit of the lattice decimal floating point, reporting that the decimal floating point has more digits and is suspected to be wrong; (e) comparing the extracted language features with the extracted language features, and if the features do not contain the language of the lattice, reporting that 'the language which is not seen is suspected to be wrong';
s22, a line in the form is given, (a) whether all the grids of the line are numbers is judged; (b) comparing the extracted line number counting characteristic with the extracted line number counting characteristic, and if the characteristic is less than 50% of the line number, reporting that the line number is larger and suspected to be wrong;
s23, a column in the form is given, (a) whether all the grids in the column are numbers is judged; (b) comparing the characteristic with the extracted column number subtotal characteristic, and if the characteristic is less than 50% of the column number, reporting that the column number is larger and is suspected to be wrong;
and step 3: importing a target report to be verified, extracting text content from the target report, matching the report content according to each regular expression, verifying the text content, and displaying an error or prompting an abnormal position and highlighting when the target report content does not accord with the regular expression.
Further, on the basis of the above embodiment 3, in the case of error report, a modification suggestion is proposed for the new form based on the regular expression described in the foregoing step.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113065338A (en) * | 2021-04-08 | 2021-07-02 | 银清科技有限公司 | XML message recombination method and device |
| CN114896955A (en) * | 2022-05-26 | 2022-08-12 | 中国平安人寿保险股份有限公司 | Data report processing method and device, computer equipment and storage medium |
| CN115098382A (en) * | 2022-06-29 | 2022-09-23 | 中国银行股份有限公司 | Bank business parameter evaluation method, device and equipment |
| CN115907631A (en) * | 2022-09-20 | 2023-04-04 | 用友网络科技股份有限公司 | Data system control method, device, readable storage medium and data system |
| CN117371412A (en) * | 2023-12-06 | 2024-01-09 | 信通院(江西)科技创新研究院有限公司 | Form-based filling methods, systems, equipment and storage media |
| CN119227658A (en) * | 2024-12-05 | 2024-12-31 | 水发大正科技服务有限公司 | A business form intelligent processing system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682109A (en) * | 2012-05-09 | 2012-09-19 | 北京彼速信息技术有限公司 | Patent information analysis method and device |
| US20120271827A1 (en) * | 2007-12-31 | 2012-10-25 | Merz Christopher J | Methods and systems for implementing approximate string matching within a database |
| CN107862258A (en) * | 2017-10-24 | 2018-03-30 | 广东小天才科技有限公司 | Method, device and equipment for checking text content in video and storage medium |
| CN108205732A (en) * | 2017-12-26 | 2018-06-26 | 云南电网有限责任公司 | A kind of method of calibration of the new energy prediction data access based on file |
| CN109726312A (en) * | 2018-12-25 | 2019-05-07 | 广州虎牙信息科技有限公司 | A kind of regular expression detection method, device, equipment and storage medium |
| CN109767177A (en) * | 2018-12-20 | 2019-05-17 | 北京航空航天大学 | A data processing and input method for public security traffic management business based on regular expressions |
-
2020
- 2020-11-13 CN CN202011266412.1A patent/CN112559817B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120271827A1 (en) * | 2007-12-31 | 2012-10-25 | Merz Christopher J | Methods and systems for implementing approximate string matching within a database |
| CN102682109A (en) * | 2012-05-09 | 2012-09-19 | 北京彼速信息技术有限公司 | Patent information analysis method and device |
| CN107862258A (en) * | 2017-10-24 | 2018-03-30 | 广东小天才科技有限公司 | Method, device and equipment for checking text content in video and storage medium |
| CN108205732A (en) * | 2017-12-26 | 2018-06-26 | 云南电网有限责任公司 | A kind of method of calibration of the new energy prediction data access based on file |
| CN109767177A (en) * | 2018-12-20 | 2019-05-17 | 北京航空航天大学 | A data processing and input method for public security traffic management business based on regular expressions |
| CN109726312A (en) * | 2018-12-25 | 2019-05-07 | 广州虎牙信息科技有限公司 | A kind of regular expression detection method, device, equipment and storage medium |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113065338A (en) * | 2021-04-08 | 2021-07-02 | 银清科技有限公司 | XML message recombination method and device |
| CN113065338B (en) * | 2021-04-08 | 2024-06-04 | 银清科技有限公司 | XML message reorganization method and device |
| CN114896955A (en) * | 2022-05-26 | 2022-08-12 | 中国平安人寿保险股份有限公司 | Data report processing method and device, computer equipment and storage medium |
| CN114896955B (en) * | 2022-05-26 | 2025-04-25 | 中国平安人寿保险股份有限公司 | Data report processing method, device, computer equipment and storage medium |
| CN115098382A (en) * | 2022-06-29 | 2022-09-23 | 中国银行股份有限公司 | Bank business parameter evaluation method, device and equipment |
| CN115907631A (en) * | 2022-09-20 | 2023-04-04 | 用友网络科技股份有限公司 | Data system control method, device, readable storage medium and data system |
| CN117371412A (en) * | 2023-12-06 | 2024-01-09 | 信通院(江西)科技创新研究院有限公司 | Form-based filling methods, systems, equipment and storage media |
| CN117371412B (en) * | 2023-12-06 | 2024-03-12 | 信通院(江西)科技创新研究院有限公司 | Form-based filling methods, systems, equipment and storage media |
| CN119227658A (en) * | 2024-12-05 | 2024-12-31 | 水发大正科技服务有限公司 | A business form intelligent processing system |
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