CN117194615B - Enterprise compliance data processing method and platform - Google Patents

Abstract

The invention provides an enterprise compliance data processing method and platform, which retrieves corresponding preset splitting information according to the text attributes of the basic text, splits the basic text based on the preset splitting information, and obtains multiple split sub-texts. , and the text tag corresponding to the split sub-text; extract the corresponding associated data in the associated database according to the text body, and the data tag corresponding to the associated data; construct a target filling area corresponding to the target sub-text, and fill the associated data into based on the association template The target filling area obtains the summary text; generates a data structure corresponding to each associated data based on the corresponding relationship between the text position and the target sub-text; generates a chain preview path corresponding to the summary text and data structure based on the preset path generation strategy. During the judgment After any access terminal has access requirements for the summary text, the online compliance preview information of the access terminal is generated based on the access authority and chain preview path of the access terminal.

Description

Enterprise compliance data processing methods and platforms

Technical field

The present invention relates to data processing technology, and in particular, to an enterprise compliance data processing method and platform.

Background technique

In today's digital era, with the continuous expansion of enterprise scale and the continuous development of technology, establishing effective data compliance management is one of the important tasks that every enterprise must consider.

At present, after the contract text is signed, there may be a lot of data related to the contract text. For example, after the contract is signed, payment or transportation may be required. Correspondingly, payment data and transportation data related to the contract will be generated. Related data. In the existing technology, when conducting compliance management of contract texts and related data, multiple contract texts and related data are usually managed in a decentralized manner. This is not only inconvenient for compliance management of contract data, but also It will reduce the efficiency of users when viewing contract data.

Therefore, how to summarize and manage contract data and improve users' management efficiency of contract data has become an urgent problem that needs to be solved today.

Contents of the invention

Embodiments of the present invention provide an enterprise compliance data processing method and platform, which can aggregate and manage contract data and improve user management efficiency of contract data.

A first aspect of the embodiment of the present invention provides an enterprise compliance data processing method, including:

Receive the basic text, retrieve the corresponding preset splitting information according to the text attributes of the basic text, perform splitting processing on the basic text based on the preset splitting information, and obtain multiple split sub-texts, and the corresponding preset splitting information. The text label corresponding to the split sub-text;

Obtain the text body of the basic text, extract the corresponding associated data in the associated database according to the text body, and the data tags corresponding to the associated data;

Determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag, construct a target filling area corresponding to the target sub-text, and fill the associated data into the associated data based on the associated template. The target fill area gets the summary text;

Obtain the text position of each of the associated data in the summary text, and generate a data structure corresponding to each of the associated data according to the corresponding relationship between the text position and the target sub-text, where the data structure is in the form of a structure tree;

A chain preview path corresponding to the summary text and data structure is generated based on the preset path generation strategy. After determining that any access terminal has access requirements for the summary text, access is generated based on the access permissions of the access terminal and the chain preview path. Online compliance preview information on the client.

Optionally, in a possible implementation of the first aspect, basic text is received, corresponding preset splitting information is retrieved according to text attributes of the basic text, and the basic text is retrieved based on the preset splitting information. The text is split, and multiple split sub-texts are obtained, as well as text tags corresponding to the split sub-texts, including:

The preset splitting information is parsed to obtain a plurality of preset tags, and the basic text is traversed based on the keywords corresponding to the preset tags to obtain the splitting of each keyword in the basic text. OK;

Obtain the upper edge line of each split line, split the basic text according to the upper edge line corresponding to the adjacent split line, and obtain multiple split sub-texts;

Keywords corresponding to each split sub-text are extracted, and preset tags corresponding to the keywords are determined as text tags corresponding to the corresponding split sub-text.

Optionally, in a possible implementation of the first aspect, the associated database is constructed through the following steps, including:

Receive the associated data uploaded by each of the access terminals in real time, and add a corresponding text body to each of the associated data according to the subject information corresponding to the access terminal;

Perform keyword traversal on the associated data to obtain preset tags corresponding to the keywords of the associated data as data tags corresponding to the associated data;

Transmit the associated data with the data tag to the associated database.

Optionally, in a possible implementation of the first aspect, the split sub-text corresponding to the associated data is determined as the target sub-text according to the data tag and the text tag, and a split sub-text corresponding to the target sub-text is constructed. Target filling area, filling the associated data into the target filling area based on the association template to obtain summary text, including:

Determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag;

Construct a target filling area corresponding to the target sub-text based on the area construction strategy;

Obtain the associated attribute of the associated data, call the corresponding associated template according to the associated attribute and fill it into the target filling area, and fill the associated data into the associated template to obtain the summary text.

Optionally, in a possible implementation of the first aspect, building a target filling area corresponding to the target sub-text based on a region construction strategy includes:

Call the corresponding preset filling area based on the label attribute corresponding to the text label of the target sub-text, and obtain the last row of data of the target sub-text as an insertion row;

If there is no corresponding associated template below the insertion line, insert the preset filling area below the insertion line to obtain the target filling area corresponding to the target sub-text;

If there is a corresponding associated template below the insertion line, the preset filling area is inserted under the last associated template in the corresponding associated templates to obtain a target filling area corresponding to the target sub-text.

Optionally, in a possible implementation manner of the first aspect, the associated attribute of the associated data is obtained, the corresponding associated template is called and filled in the target filling area according to the associated attribute, and the associated The data is filled into the associated template to obtain summary text, including:

Determining that the associated attribute is associated data of a combined attribute as combined data, and that the associated attribute is an associated data of a single attribute as single data;

Call a combination template according to the combination attribute to fill in the target filling area, and fill the combination data into the combination template to obtain combination filling information;

Call a single template according to the single attribute to fill in the target filling area, and fill the single data into the single template to obtain single filling information. The associated template includes a combination template and a single template;

The basic text is updated based on the combined filling information and/or single filling information to obtain a summary text.

Optionally, in a possible implementation of the first aspect, a combination template is called and filled into the target filling area according to the combination attribute, and the combination data is filled into the combination template to obtain a combination Fill in the information, including:

Obtain multiple first images corresponding to the combined data, and delete the filled slots in the combined template according to the total image number of the first image until the number of filled slots is equal to the Stop deleting the filled slots when the total number of images is reached;

Wherein, the combined template includes a plurality of filling slots arranged laterally;

Adjust the deleted combined template based on the first image to obtain a combined adjusted template;

Delete the blank lines in the target filling area except for the combination adjustment template;

Each first image is filled into the corresponding filling slot in the combination template to obtain combined filling information.

Optionally, in a possible implementation of the first aspect, the combined template after deletion is adjusted based on the first image to obtain a combined adjustment template, including:

Obtain the image vertical length of each first image, and determine the maximum image vertical length as the adjustment length;

The vertical length of the template of the combination template is adjusted according to the adjustment length to obtain a combination adjustment template.

Optionally, in a possible implementation of the first aspect, a single template is called and filled into the target filling area according to the single attribute, and the single data is filled into the single template to obtain a single Fill in the information, including:

Obtain the second image corresponding to the single data, and adjust the template vertical length of the single template according to the image vertical length of the second image to obtain a single adjustment template;

Delete the blank lines in the target filling area except the single adjustment template;

Fill the second image into the filling slot of the single template to obtain single filling information.

Optionally, in a possible implementation of the first aspect, the text position of each associated data in the summary text is obtained, and each associated data is generated according to the corresponding relationship between the text position and the target sub-text. Corresponding data structure, the data structure is in the form of a structure tree, including:

Obtain the page number information of each of the associated data in the summary text, and determine the text position of the associated data in the summary text based on the page number information;

Bind the text position and data label corresponding to each of the associated data, and generate a data structure corresponding to each of the associated data based on the text position and the data label, where the data structure is in the form of a structure tree;

The parent node of the structure tree corresponds to the summary text, the child nodes of the structure tree correspond to the target sub-text, and the grandchild node of the structure tree corresponds to the associated data.

Optionally, in a possible implementation of the first aspect, generating a chain preview path corresponding to the summary text and data structure based on a preset path generation strategy includes:

Generate a main preview node corresponding to each target sub-text, and connect all main preview nodes according to the positional relationship of all target sub-texts in the summary text to obtain the main path in the corresponding chain preview path;

Traverse the grandchild nodes in the data structure that are directly connected to the child nodes corresponding to the target sub-text as the target grandchild nodes, generate slave preview nodes corresponding to the statistical target grandchild nodes, and compare each slave preview node with the corresponding target sub-text. The main preview node is connected;

Generate viewing permissions for each master preview node and slave preview node based on the preconfigured permission data.

Optionally, in a possible implementation of the first aspect, after determining that any access end has access requirements for the summarized text, the online compliance preview information of the access end is generated based on the access authority and chain preview path of the access end, including :

Determine the corresponding master preview node and slave preview node in the chain preview path as the accessible first master preview node and first slave preview node according to the access rights;

Set the first master preview node and the first slave preview node in the chain preview path to be selectable, and set the non-first master preview node and the non-first slave preview node to be unselectable to obtain the corresponding access end. First chain preview path;

Based on the first chain preview path, the summary text and data structure are processed to generate online compliance preview information for the access side.

Optionally, in a possible implementation of the first aspect, the summary text and data structure are processed based on the first chain preview path to generate online compliance preview information for the access side, including:

Copy the summary text and data structure to obtain temporary summary text and temporary data structure;

Determine the target sub-text corresponding to the temporary summary text of the non-first main preview node in the first chain preview path for deletion processing, and determine the grandchild of the temporary data structure corresponding to the non-first slave preview node in the first chain preview path. Node deletion processing;

Generate the online compliance preview information of the access terminal from the processed temporary summary text and temporary data structure, determine the first main preview node corresponding to the temporary summary text and temporary data structure and add the corresponding signature area image;

Based on the interaction between the signature area image and the access terminal, the compliance signature of the access terminal on the corresponding first master preview node and the first slave preview node is obtained.

A second aspect of the embodiment of the present invention provides an enterprise compliance data processing platform, including:

A splitting module, configured to receive basic text, retrieve corresponding preset splitting information according to the text attributes of the basic text, perform splitting processing on the basic text based on the preset splitting information, and obtain multiple splits. Numerator text, and text labels corresponding to the split sub-text;

An extraction module, used to obtain the text body of the basic text, extract the corresponding associated data in the associated database according to the text body, and the data tags corresponding to the associated data;

A summary module, configured to determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag, construct a target filling area corresponding to the target sub-text, and combine the associated data based on the association Fill the template into the target filling area to obtain summary text;

A structure module, used to obtain the text position of each associated data in the summary text, and generate a data structure corresponding to each associated data according to the corresponding relationship between the text position and the target sub-text. The data structure is a structure tree form;

The preview module is used to generate a chain preview path corresponding to the summary text and data structure based on a preset path generation strategy. After judging that any access end has access requirements for the summary text, based on the access rights of the access end and the chain The formula preview path generates the online compliance preview information of the access terminal. A third aspect of the embodiment of the present invention provides an electronic device, including: a memory, a processor, and a computer program. The computer program is stored in the memory, and the processor runs the computer program to execute the first step of the present invention. Aspects and various methods that may be involved in the first aspect.

A fourth aspect of the embodiments of the present invention provides a readable storage medium. A computer program is stored in the readable storage medium. When the computer program is executed by a processor, it is used to implement the first aspect of the present invention and the first aspect thereof. Various methods may be involved.

The beneficial effects of the present invention are as follows:

1. The present invention can aggregate and manage contract data and improve the user's management efficiency of contract data. When summarizing contract data, the present invention first splits the basic text into multiple split sub-texts, and then extracts the associated data corresponding to the text body from the associated database and inserts it into the corresponding position of the corresponding split sub-text, thereby The associated data can be summarized to the corresponding position in the basic text, and then the associated data corresponding to the basic text can be integrated into the basic text to obtain the summarized text. The summary text can improve the efficiency of users when viewing contract data. Moreover, the present invention will also generate a data structure corresponding to the associated data based on the text position of each associated data in the summary text, so that the specific position of each associated data in the summary text can be quickly positioned through the data structure, improving the efficiency of users when viewing data. .

2. When inserting associated data into the corresponding position of the basic text, the present invention will first determine the target sub-text corresponding to each associated data, and then fill the associated data into the target filling area corresponding to the target sub-text to obtain the summary text. In this way, the associated data can be mapped to the corresponding target sub-text, so that when users view the contract text, they can view the target sub-text and its corresponding associated data together. When filling the associated data into the target filling area, the present invention will call different associated templates according to different attributes of the associated data, fill the associated template into the target filling area, and then fill the associated data into the associated template, so that the associated data can be filled into the associated template through Different association templates fill the associated data in different ways, and the present invention will also make adaptive adjustments to the associated templates based on the associated data. After the association template is adjusted, the present invention will delete the blank rows in the target filling area, In this way, redundant blank data in the basic text can be removed, reducing the space occupied by blank data in the basic text, and thus more associated data can be summarized.

3. The data structure generated by the present invention will correspond each associated data with its page number information in the summarized text, so that the specific position of the associated data in the summarized text can be quickly located, improving the efficiency of users when viewing data. Moreover, the present invention will also generate online compliance preview information based on the access rights of each access terminal, so that the corresponding text data in the summary text of each access terminal can be quickly extracted, improving the efficiency of the access terminal when previewing data, and the present invention can also Trace the access end corresponding to the text data through the access end's signature information to improve the compliance of the text data.

Description of the drawings

Figure 1 is a schematic diagram of an application scenario provided by an embodiment of the present invention;

Figure 2 is a schematic structural diagram of an enterprise compliance data processing platform provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments These are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

Refer to Figure 1, which is a schematic diagram of an application scenario provided by an embodiment of the present invention. This solution will split the basic text into multiple split sub-texts. In practical applications, the basic text can correspond to the signed contract text. Each basic text has its corresponding text body. For example, subject A and subject B signed a contract According to the corresponding contract text, the text subjects can be subject A and subject B. After splitting the basic text, this solution will extract the associated data corresponding to the text body from the associated database, and then insert the associated data into the corresponding split sub-text, thereby completing the summary of multiple contract data and obtaining the summary text Send it to users for data viewing to improve users’ efficiency when viewing contract data.

The execution subject of this application may include but is not limited to at least one of the following: user equipment, network equipment, etc. Among them, user equipment may include but is not limited to computers, smartphones, personal digital assistants (Personal Digital Assistant, PDA for short), and the above-mentioned electronic devices. Network devices may include, but are not limited to, a single network server, a server group of multiple network servers, or a cloud composed of a large number of computers or network servers based on cloud computing. Cloud computing is a type of distributed computing consisting of a group of loosely coupled computers. A super virtual computer composed of computers. This embodiment does not limit this. This embodiment includes steps S1 to S5, specifically as follows:

S1. Receive basic text, retrieve corresponding preset splitting information according to the text attributes of the basic text, perform splitting processing on the basic text based on the preset splitting information, and obtain multiple split sub-texts, and Text label corresponding to the split sub-text.

In practical applications, the basic text may be the contract text. It is understandable that contract text may have many text attributes. For example, the contents of contracts such as lease contracts and sales contracts may be different, and their corresponding text attributes may also be different. Therefore, when disassembling the basic text, When sharing, the preset splitting information corresponding to the basic text can also be different, so that the basic text can be split in a targeted manner based on the preset splitting information.

Based on the above embodiment, the specific implementation of step S1 may be:

S11, parse the preset split information to obtain multiple preset tags, traverse the basic text based on the keywords corresponding to the preset tags, and obtain the position of each keyword in the basic text. Split rows.

In practical applications, the preset tags can be set accordingly according to the text attributes, which can correspond to the theme of each clause in the contract, so that the paragraphs corresponding to multiple clauses in the contract text can be split accordingly based on the preset tags. For example, for a rental contract, the corresponding preset tags may be rental items, rental amounts, etc.

When traversing the basic text based on the keywords corresponding to the preset tags, the text recognition technology in the existing technology can be used to traverse the basic text accordingly. For example, OCR technology can be used to traverse the basic text accordingly.

S12: Obtain the upper edge line of each split line, split the basic text according to the upper edge line corresponding to the adjacent split line, and obtain multiple split sub-texts.

In some embodiments, when determining the upper edge line of the split line, coordinate processing can be performed on the split line, and then the maximum y-axis coordinate value among all text coordinates corresponding to the split line is obtained, and the maximum y-axis coordinate value is obtained. Generate a baseline parallel to the x-axis, and then offset the baseline upward by a preset distance to obtain the upper edge line. You can also directly set the corresponding preset upper edge line on the upper part of each split line, and then obtain it directly.

S13: Extract the keywords corresponding to each of the split sub-texts, and determine the preset tags corresponding to the keywords as the text tags corresponding to the corresponding split sub-texts.

Through the above method, the basic text can be split in a targeted manner according to the text attributes, so that the corresponding associated data can be subsequently inserted into the multiple split sub-texts to complete the summary processing of the contract data.

S2: Obtain the text body of the basic text, extract corresponding associated data in the associated database according to the text body, and extract data tags corresponding to the associated data.

Among them, the text subject refers to the subject signing the contract text. It is understandable that if the text subject of the basic article is different, the corresponding associated data may also be different. For example, the basic text is a sales contract, and the signing parties are subject A and subject B. When obtaining the payment order, When related data such as invoices are obtained, the related data related to subject A and subject B are also obtained. If the related data corresponding to other subjects is obtained, it may not correspond to the basic text.

In some embodiments, the associated database can be obtained through the following steps:

S21: Receive the associated data uploaded by each of the access terminals in real time, and add a corresponding text body to each of the associated data according to the subject information corresponding to the access terminal.

For example, if the subject information corresponding to the access terminal is subject A, then the text subject corresponding to the corresponding associated data can be set to subject A.

S22: Perform keyword traversal on the associated data to obtain preset tags corresponding to the keywords of the associated data as data tags corresponding to the associated data.

It can be understood that associated data is generally data associated with basic text, and its corresponding data label will also correspond to the text label corresponding to the basic text. Therefore, when obtaining the data label of the associated data, you can also use the preset label Get it.

S23: Transmit the associated data with the data tag to the associated database.

After obtaining the related database through the above method, the related data corresponding to different text subjects can be extracted through the related database, so that the corresponding related data can be subsequently summarized to the corresponding position in the basic text.

S3, determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag, construct a target filling area corresponding to the target sub-text, and fill the associated data into The target padding area gets summarized text.

It is understandable that if the data tags corresponding to the associated data are different, the corresponding split sub-texts may also be different. Therefore, when inserting the associated data, this solution will first determine the split sub-text corresponding to the associated data based on the data tags and text tags. The molecule text is used as the target sub-text, and then the associated data is inserted into the corresponding position in the basic text based on the target sub-text to obtain the summary text.

Based on the above embodiment, the specific implementation of step S3 may be:

S31: Determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag.

When determining the target sub-text corresponding to the associated data, the split sub-text corresponding to the text label corresponding to the data label may be used as the target sub-text corresponding to the corresponding associated data.

S32: Construct a target filling area corresponding to the target sub-text based on the area construction strategy.

In some embodiments, the above target filling area can be constructed through the following steps:

S321: Call the corresponding preset filling area based on the label attribute corresponding to the text label of the target sub-text, and obtain the last row of data of the target sub-text as an insertion row.

In practical applications, different preset labels can correspond to different label attributes, and corresponding preset filling areas can be constructed through different label attributes. For example, when the preset label corresponds to payment order data or shipping order data, its The set label attributes can be related to the payment order data or the transportation order data. Since the image data corresponding to the payment order data and the transportation order data are different, the preset fill areas set for them can also be different.

When setting up the preset filling area, the staff can set the preset number of rows in the preset filling area to the maximum number of rows that can be filled with corresponding data, so that all corresponding data can be filled in later through the preset filling area.

In order to facilitate users to browse the associated data corresponding to the target sub-text, this solution will insert the corresponding associated data below the corresponding target sub-text, so the last row of data of the target sub-text can be used as the inserted row, thus You can use this inserted row to complete the subsequent insertion of related data.

S322: If there is no corresponding associated template below the insertion line, insert a preset padding area below the insertion line to obtain a target padding area corresponding to the target sub-text.

Wherein, the corresponding associated template is an associated template located below the inserted row and adjacent to the inserted row. It is worth mentioning that adjacency refers to direct adjacency and indirect adjacency. When there is one adjacent association template, the adjacent association template is directly used as the corresponding association template mentioned above; in the adjacent association template When there are multiple templates, indirect adjacency is involved. For example, if there are three associated templates, then the three associated templates are all corresponding to the above-mentioned associated templates.

It can be understood that if there is no corresponding associated template below the insertion line, it means that there is no corresponding associated data to be inserted below the insertion line. Therefore, the preset filling area can be inserted below the insertion line to obtain the corresponding target sub-text. Target fill area.

S323. If there is a corresponding associated template below the insertion line, insert the preset filling area below the last associated template in the corresponding associated templates to obtain a target filling area corresponding to the target sub-text.

If there is a corresponding associated template below the inserted row, it means that the corresponding associated data has been inserted below the inserted row. Therefore, when inserting new associated data, the corresponding preset filling area can be inserted into the corresponding associated template at the end. Under an associated template, the target fill area corresponding to the target sub-text is obtained.

S33: Obtain the associated attribute of the associated data, retrieve the corresponding associated template according to the associated attribute and fill it into the target filling area, and fill the associated data into the associated template to obtain the summary text.

It is understandable that in actual applications, there may be many types of related data, and the related attributes corresponding to each type of related data may also be different. The related attributes in this solution include combination attributes and single attributes, such as payment orders and invoices. Previously, they were usually associated, so this highly correlated data can be put together as associated data, and the attributes of the corresponding associated data can be set as combined attributes. For shipping orders, this kind of data is usually single. Therefore, the attributes of this type of related data can be set as a single attribute.

Because the associated attributes are different, the corresponding associated data is also different, so the corresponding associated templates can also be different, so that the corresponding associated data can be filled in the target filling area through the corresponding associated templates. Get summary text.

Specifically, step S33 can be implemented through step S331 to step S334, as follows:

S331. Determine that the associated attribute is associated data with a combined attribute as combined data, and that the associated attribute is associated data with a single attribute as single data.

S332: Call a combination template according to the combination attribute and fill it into the target filling area, and fill the combination data into the combination template to obtain combination filling information.

In some embodiments, the above combined filling information can be obtained through the following steps:

S3321, obtain multiple first images corresponding to the combined data, and delete the filled slots in the combined template according to the total number of images of the first image until the number of filled slots is equal to The deletion of the filled slots is stopped when the total number of images is reached.

Wherein, the combined template includes a plurality of filling slots arranged laterally.

It is worth mentioning that there are generally more filling slots in this solution. It is understandable that since the combined data inserted is limited, the number will not be too large. Therefore, in order to be able to process all the combined data Insertion, this solution will set up more filling slots, and then delete the filling slots by the number of first images corresponding to the combined data.

For example, if there are 10 filling slots in total and there are 3 first images, this solution will delete the filling slots to 3 for corresponding filling of the first image.

S3322: Adjust the deleted combined template based on the first image to obtain a combined adjusted template.

Specifically, the combination template can be adjusted through the following steps to obtain the combination adjustment template:

The vertical length of each first image is obtained, and the maximum vertical length of the image is determined as the adjustment length.

It can be understood that in practical applications, the vertical lengths of multiple first images may be different. Therefore, in order to fill the first image into the combined template, the maximum vertical length of the image may be determined as the adjustment. length, and then adjust the combined template accordingly through this adjustment length.

The vertical length of the template of the combination template is adjusted according to the adjustment length to obtain a combination adjustment template.

Through the above method, the combined template can be adaptively adjusted according to the first image, so that the first image can match the combined template.

S3323: Delete the blank lines in the target filling area except the combination adjustment template.

It is understandable that since the target filling area may be set relatively large, there may be many blank lines after placing the combination adjustment template into the target filling area. Therefore, in order to allow users to browse more related data, you can The blank rows in the target filling area except the combination adjustment template are deleted, so that redundant blank data can be removed.

S3324: Fill each first image into the corresponding filling slot in the combination template to obtain combined filling information.

When filling the first image into the corresponding filling slot in the combination template, the center point of the first image can be positioned based on the center point of the filling slot, and then the first image is filled into the corresponding filling slot to obtain Combined fill information.

S333: Call a single template according to the single attribute and fill it into the target filling area, and fill the single data into the single template to obtain single filling information. The associated template includes a combined template and a single template.

In some embodiments, the above single filling information can be obtained through the following steps:

S3331: Obtain the second image corresponding to the single data, and adjust the template vertical length of the single template according to the image vertical length of the second image to obtain a single adjustment template.

It can be understood that the second image corresponding to each single data may also be different. Therefore, after obtaining the second image, the vertical length of the template of the single template can be adjusted by the vertical length of the image of the second image, obtaining A single adjustment template is provided so that the single adjustment template can be adapted to the corresponding second image.

S3332: Delete the blank lines in the target filling area except for the single adjustment template.

Similarly, after obtaining a single adjustment template, the blank rows in the target filling area other than the single adjustment template can also be deleted, so that redundant blank data can be removed.

S3333: Fill the second image into the filling slot of the single template to obtain single filling information.

The above-mentioned method of filling the second image into the filling slot of the single template can be the same as the method of filling the first image into the corresponding filling slot of the combined template, and this solution will not be described in detail here.

S334: Update the basic text based on the combined filling information and/or single filling information to obtain a summary text.

Through the above method, the related data can be summarized to the corresponding position in the basic text, so that the related data corresponding to the basic text can be integrated into the basic text, improving the efficiency of users when viewing contract data.

S4: Obtain the text position of each associated data in the summary text, and generate a data structure corresponding to each associated data according to the corresponding relationship between the text position and the target sub-text. The data structure is in the form of a structure tree.

It is understandable that since the insertion position of each associated data in the summary text is different, its text position in the summary text may also be different. In order to quickly find the specific location of each associated data in the summary text, location to improve the efficiency of users when viewing data. This solution will also generate a corresponding data structure and send it to the access terminal, so that the specific location of each associated data in the summary text can be quickly located through this data structure.

Based on the above embodiment, the specific implementation of step S4 may be:

S41: Obtain the page number information of each associated data in the summary text, and determine the text position of the associated data in the summary text based on the page number information.

When determining the text position of the associated data, it can be determined based on the page number information of the associated data. For example, if the associated data is on page 6, its corresponding text position can also be set to page 6 accordingly.

S42: Bind the text position and data label corresponding to each of the associated data, and generate a data structure corresponding to each of the associated data based on the text position and the data label. The data structure is in the form of a structure tree.

S43: The parent node of the structure tree corresponds to the summary text, the child nodes of the structure tree correspond to the target sub-text, and the grandchild node of the structure tree corresponds to the associated data.

In practical applications, the above data structure can be generated in the form of a structural tree, so that each data tag and its corresponding page number information can be obtained through the data structure, and then the associated data corresponding to the data tag can be processed through the page number information corresponding to the data tag. Quickly lock to improve efficiency when retrieving related data.

S5: Generate a chain preview path corresponding to the summary text and data structure based on the preset path generation strategy. After determining that any access end has access requirements for the summary text, based on the access permissions of the access end, the chain preview path Generate online compliance preview information for the access terminal.

It is understandable that in actual applications, the text data that each access terminal can access may be different. Therefore, after judging that any access terminal has access requirements for summarized text, this solution will also base on the access permissions and The chain preview path generates the online compliance preview information of the access terminal, so that the access terminal can preview the text data corresponding to itself.

Based on the above embodiment, the specific implementation of "generating a chain preview path corresponding to the summary text and data structure based on the preset path generation strategy" in step S5 may be:

S51, generate a main preview node corresponding to each target sub-text, and connect all the main preview nodes according to the positional relationship of all target sub-texts in the summary text to obtain the main path in the corresponding chain preview path.

Wherein, the positional relationship of the target sub-text in the summary text refers to the page position of the target sub-text in the summary text. When connecting multiple main preview nodes, you can connect each main preview node according to the number of pages from small to large.

S52, traverse the grandchild node in the data structure that is directly connected to the child node corresponding to the target subtext as the target grandchild node, generate a slave preview node corresponding to the statistical target grandchild node, and compare each slave preview node with the corresponding target child node. The main preview node of the text is connected.

It can be understood that the grandchild node directly connected to the child node corresponding to the target subtext in the data structure refers to the associated data corresponding to the target subtext. In actual applications, there may be multiple associated data, so the target grandchild node There may be more than one. In order to quickly lock the associated data corresponding to each target sub-text, a slave preview node corresponding to the target grandchild node can be generated, and then the slave preview node is connected to the corresponding master preview node.

S53: Generate viewing permissions for each master preview node and slave preview node according to the preconfigured permission data.

It is understandable that the access permissions corresponding to each access terminal may be different. In order to quickly generate preview data corresponding to different access terminals in the future, each master preview node and slave preview data can be generated based on the pre-configured permission data. View permissions for preview nodes.

On the basis of the above embodiment, the specific implementation method of "after determining that any access terminal has access requirements for the summary text in step S5, generate the online compliance preview information of the access terminal based on the access authority and chain preview path of the access terminal" can be yes:

S54: Determine the corresponding master preview node and the slave preview node in the chain preview path as the accessible first master preview node and the first slave preview node according to the access rights.

It can be understood that since each node in the chain preview path has corresponding viewing rights set in advance, after obtaining the access rights, the corresponding main preview node and slave preview node in the chain preview path can be determined based on the access rights as Accessible first master preview node and first slave preview node.

S55, set the first master preview node and the first slave preview node in the chain preview path to be selectable, and set the non-first master preview node and the non-first slave preview node to be unselectable. The corresponding first chain preview path.

It can be understood that since the non-first master preview node and the non-first slave preview node are nodes that the corresponding access terminal cannot view, they can be set as unselectable, and then the first master preview node and the first slave preview node can be set as unselectable. The preview node is set to selectable.

S56: Process the summary text and data structure based on the first chain preview path to generate online compliance preview information of the access terminal.

Specifically, step S56 can be implemented through steps S561 to S563, as follows:

S561, copy the summary text and data structure to obtain temporary summary text and temporary data structure.

S56: Determine the target sub-text corresponding to the temporary summary text of the non-first main preview node in the first chain preview path for deletion processing, and determine the temporary data structure corresponding to the non-first slave preview node in the first chain preview path. Grandchild node deletion processing.

It can be understood that since the non-first master preview node and the non-first slave preview node are nodes that cannot be viewed by the access end, and their corresponding text data is also data that cannot be viewed by the access end, the non-first master preview node can be viewed The corresponding data corresponding to the non-first slave preview node is deleted.

S562: Generate online compliance preview information on the access side from the processed temporary summary text and temporary data structure, determine the first main preview node corresponding to the temporary summary text and temporary data structure, and add the corresponding signature area image.

It is understandable that the reason why the signature area image corresponding to the first main preview node is added is to allow the corresponding access terminal to sign after verifying the data, so that when there is a problem with the corresponding data, the corresponding access terminal can Traceback.

S563: Based on the interaction between the signature area image and the access terminal, obtain the compliance signature of the access terminal on the corresponding first master preview node and the first slave preview node.

Through the above method, the online compliance preview information corresponding to the access terminal can be quickly obtained, improving the efficiency of the access terminal when previewing text data, and the access terminal corresponding to the text data can also be traced to improve the compliance of the text data.

Refer to Figure 2, which is a schematic structural diagram of an enterprise compliance data processing platform provided by an embodiment of the present invention. The enterprise compliance data processing platform includes:

A splitting module, configured to receive basic text, retrieve corresponding preset splitting information according to the text attributes of the basic text, perform splitting processing on the basic text based on the preset splitting information, and obtain multiple splits. Numerator text, and text labels corresponding to the split sub-text;

An extraction module, used to obtain the text body of the basic text, extract the corresponding associated data in the associated database according to the text body, and the data tags corresponding to the associated data;

A summary module, configured to determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag, construct a target filling area corresponding to the target sub-text, and combine the associated data based on the association Fill the template into the target filling area to obtain summary text;

A structure module, used to obtain the text position of each associated data in the summary text, and generate a data structure corresponding to each associated data according to the corresponding relationship between the text position and the target sub-text. The data structure is a structure tree form;

The preview module is used to generate a chain preview path corresponding to the summary text and data structure based on a preset path generation strategy. After judging that any access end has access requirements for the summary text, based on the access rights of the access end and the chain The formula preview path generates the online compliance preview information of the access terminal.

The present invention also provides an electronic device, which includes: a processor, a memory, and a computer program; wherein the memory is used to store the computer program, and the memory can also be a flash memory (flash). The computer program is, for example, an application program, functional module, etc. that implements the above method.

A processor, configured to execute the computer program stored in the memory to implement each step performed by the device in the above method. For details, please refer to the relevant descriptions in the previous method embodiments.

Optionally, the memory can be either independent or integrated with the processor.

When the memory is a device independent of the processor, the device may also include:

Bus used to connect the memory and processor.

The present invention also provides a readable storage medium. A computer program is stored in the readable storage medium. When the computer program is executed by a processor, the computer program is used to implement the methods provided by the above-mentioned various embodiments.

The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to a processor such that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may be located in Application Specific Integrated Circuits (ASIC for short). Additionally, the ASIC can be located in the user equipment. Of course, the processor and the readable storage medium may also exist as discrete components in the communication device. Readable storage media can be read-only memory (ROM), random access memory (RAM), CD-ROM, tapes, floppy disks, optical data storage devices, etc.

The present invention also provides a program product. The program product includes execution instructions, and the execution instructions are stored in a readable storage medium. At least one processor of the device can read the execution instruction from the readable storage medium, and at least one processor executes the execution instruction to cause the device to implement the methods provided by the various embodiments described above.

In the embodiments of the above device, it should be understood that the processor may be a central processing unit (English: Central Processing Unit, referred to as: CPU), or other general-purpose processor, digital signal processor (English: Digital Signal Processor, referred to as: DSP ), Application Specific Integrated Circuit (English: Application Specific Integrated Circuit, abbreviation: ASIC), etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The steps of the method disclosed in the present invention can be directly implemented by a hardware processor, or executed by a combination of hardware and software modules in the processor.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, but not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features can be equivalently replaced; and these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention. scope.

Claims (10)

1. Enterprise compliance data processing method, which is characterized by including: Receive the basic text, retrieve the corresponding preset splitting information according to the text attributes of the basic text, perform splitting processing on the basic text based on the preset splitting information, and obtain multiple split sub-texts, and the corresponding preset splitting information. The text tag corresponding to the split sub-text, the basic text is the contract text; Obtain the text body of the basic text, extract the corresponding associated data in the associated database according to the text body, and the data tag corresponding to the associated data, and the text body is the signing subject of the contract text; Determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag, construct a target filling area corresponding to the target sub-text, and fill the associated data into the associated data based on the associated template. The target fill area gets the summary text; Obtain the text position of each of the associated data in the summary text, and generate a data structure corresponding to each of the associated data according to the corresponding relationship between the text position and the target sub-text, where the data structure is in the form of a structure tree; A chain preview path corresponding to the summary text and data structure is generated based on the preset path generation strategy. After determining that any access terminal has access requirements for the summary text, access is generated based on the access permissions of the access terminal and the chain preview path. Online compliance preview information on the terminal; Receive the basic text, call the corresponding preset splitting information according to the text attributes of the basic text, perform splitting processing on the basic text based on the preset splitting information, and obtain multiple split sub-texts, and the corresponding preset splitting information. The text tags corresponding to the split sub-text include: The preset splitting information is parsed to obtain a plurality of preset tags, and the basic text is traversed based on the keywords corresponding to the preset tags to obtain the splitting of each keyword in the basic text. OK; Obtain the upper edge line of each split line, split the basic text according to the upper edge line corresponding to the adjacent split line, and obtain multiple split sub-texts; Extract the keywords corresponding to each of the split sub-texts, and determine the preset tags corresponding to the keywords as the text tags corresponding to the corresponding split sub-texts; Determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag, construct a target filling area corresponding to the target sub-text, and fill the associated data into the associated data based on the associated template. The target fill area gets summary text, including: Determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag; Construct a target filling area corresponding to the target sub-text based on the area construction strategy; Obtain the associated attribute of the associated data, call the corresponding associated template according to the associated attribute and fill it into the target filling area, and fill the associated data into the associated template to obtain the summary text; Construct a target filling area corresponding to the target sub-text based on the area construction strategy, including: Call the corresponding preset filling area based on the label attribute corresponding to the text label of the target sub-text, and obtain the last row of data of the target sub-text as an insertion row; If there is no corresponding associated template below the insertion line, insert the preset filling area below the insertion line to obtain the target filling area corresponding to the target sub-text; If there is a corresponding associated template below the insertion line, insert the preset filling area below the last associated template in the corresponding associated templates to obtain the target filling area corresponding to the target sub-text; Obtain the associated attribute of the associated data, call the corresponding associated template according to the associated attribute and fill it into the target filling area, and fill the associated data into the associated template to obtain the summary text, including: Determining that the associated attribute is associated data of a combined attribute as combined data, and that the associated attribute is an associated data of a single attribute as single data; Call a combination template according to the combination attribute and fill it into the target filling area, and fill the combination data into the combination template to obtain combination filling information; Call a single template according to the single attribute to fill in the target filling area, and fill the single data into the single template to obtain single filling information. The associated template includes a combination template and a single template; Update the basic text based on the combined filling information and/or single filling information to obtain a summary text; The combination template is called according to the combination attribute and filled into the target filling area, and the combination data is filled into the combination template to obtain the combination filling information, including: Obtain multiple first images corresponding to the combined data, and delete the filled slots in the combined template according to the total image number of the first image until the number of filled slots is equal to the Stop deleting the filled slots when the total number of images is reached; Wherein, the combined template includes a plurality of filling slots arranged laterally; Adjust the deleted combined template based on the first image to obtain a combined adjustment template; Delete the blank lines in the target filling area except the combination adjustment template; Fill each first image into the corresponding filling slot in the combination template to obtain combined filling information; Call a single template according to the single attribute and fill it into the target filling area, and fill the single data into the single template to obtain a single filling information, including: Obtain the second image corresponding to the single data, and adjust the template vertical length of the single template according to the image vertical length of the second image to obtain a single adjustment template; Delete the blank lines in the target filling area except the single adjustment template; Fill the second image into the filling slot of the single template to obtain single filling information. 2. The method according to claim 1, characterized in that, Build the relational database through the following steps, including: Receive the associated data uploaded by each of the access terminals in real time, and add a corresponding text body to each of the associated data according to the subject information corresponding to the access terminal; Perform keyword traversal on the associated data to obtain preset tags corresponding to the keywords of the associated data as data tags corresponding to the associated data; Transmit the associated data with the data tag to the associated database. 3. The method according to claim 2, characterized in that, The deleted combined template is adjusted based on the first image to obtain a combined adjustment template, which includes: Obtain the image vertical length of each first image, and determine the maximum image vertical length as the adjustment length; The vertical length of the template of the combined template is adjusted according to the adjustment length to obtain a combined adjustment template. 4. The method according to claim 1, characterized in that, Obtain the text position of each associated data in the summary text, and generate a data structure corresponding to each associated data according to the corresponding relationship between the text position and the target sub-text. The data structure is in the form of a structural tree, including: Obtain the page number information of each of the associated data in the summary text, and determine the text position of the associated data in the summary text based on the page number information; Bind the text position and data label corresponding to each of the associated data, and generate a data structure corresponding to each of the associated data based on the text position and the data label, where the data structure is in the form of a structure tree; The parent node of the structure tree corresponds to the summary text, the child nodes of the structure tree correspond to the target sub-text, and the grandchild node of the structure tree corresponds to the associated data. 5. The method according to claim 4, characterized in that, Generate a chain preview path corresponding to the summary text and data structure based on a preset path generation strategy, including: Generate a main preview node corresponding to each target sub-text, and connect all main preview nodes according to the positional relationship of all target sub-texts in the summary text to obtain the main path in the corresponding chain preview path; Traverse the grandchild nodes in the data structure that are directly connected to the child nodes corresponding to the target sub-text as the target grandchild nodes, generate slave preview nodes corresponding to the statistical target grandchild nodes, and compare each slave preview node with the corresponding target sub-text. The main preview node is connected; Generate viewing permissions for each master preview node and slave preview node based on the preconfigured permission data. 6. The method according to claim 5, characterized in that, After determining that any access terminal has access requirements for the summarized text, the online compliance preview information of the access terminal is generated based on the access authority and chain preview path of the access terminal, including: Determine the corresponding master preview node and slave preview node in the chain preview path as the accessible first master preview node and first slave preview node according to the access rights; Set the first master preview node and the non-first slave preview node in the chain preview path to be selectable, and set the non-first master preview node and the first slave preview node to be unselectable to obtain the corresponding access end. First chain preview path; Based on the first chain preview path, the summary text and data structure are processed to generate online compliance preview information for the access side. 7. The method according to claim 6, characterized in that, Based on the first chain preview path, the summary text and data structure are processed to generate the online compliance preview information of the access side, including: Copy the summary text and data structure to obtain temporary summary text and temporary data structure; Determine the target sub-text corresponding to the temporary summary text of the non-first main preview node in the first chain preview path for deletion processing, and determine the grandchild of the temporary data structure corresponding to the non-first slave preview node in the first chain preview path. Node deletion processing; Generate the online compliance preview information of the access terminal from the processed temporary summary text and temporary data structure, determine the first main preview node corresponding to the temporary summary text and temporary data structure and add the corresponding signature area image; Based on the interaction between the signature area image and the access terminal, the compliance signature of the access terminal on the corresponding first master preview node and the first slave preview node is obtained. 8. Enterprise compliance data processing platform, which is characterized by: A splitting module, configured to receive basic text, retrieve corresponding preset splitting information according to the text attributes of the basic text, perform splitting processing on the basic text based on the preset splitting information, and obtain multiple splits. Molecular text, and text tags corresponding to the split sub-text, and the basic text is the contract text; An extraction module, used to obtain the text body of the basic text, extract the corresponding associated data in the associated database according to the text body, and the data tags corresponding to the associated data, and the text body is the signing subject of the contract text; A summary module, configured to determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag, construct a target filling area corresponding to the target sub-text, and combine the associated data based on the association Fill the template into the target filling area to obtain summary text; A structure module, used to obtain the text position of each associated data in the summary text, and generate a data structure corresponding to each associated data according to the corresponding relationship between the text position and the target sub-text. The data structure is a structure tree form; The preview module is used to generate a chain preview path corresponding to the summary text and data structure based on a preset path generation strategy. After judging that any access end has access requirements for the summary text, based on the access rights of the access end and the chain The formula preview path generates the online compliance preview information of the access terminal; Receive the basic text, retrieve the corresponding preset splitting information according to the text attributes of the basic text, perform splitting processing on the basic text based on the preset splitting information, and obtain multiple split sub-texts, and the corresponding preset splitting information. The text tags corresponding to the split sub-text include: The preset splitting information is parsed to obtain a plurality of preset tags, and the basic text is traversed based on the keywords corresponding to the preset tags to obtain the splitting of each keyword in the basic text. OK; Obtain the upper edge line of each split line, split the basic text according to the upper edge line corresponding to the adjacent split line, and obtain multiple split sub-texts; Extract the keywords corresponding to each of the split sub-texts, and determine the preset tags corresponding to the keywords as the text tags corresponding to the corresponding split sub-texts; Determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag, construct a target filling area corresponding to the target sub-text, and fill the associated data into the associated data based on the associated template. The target fill area gets summary text, including: Determine the split sub-text corresponding to the associated data as the target sub-text according to the data tag and the text tag; Construct a target filling area corresponding to the target sub-text based on the area construction strategy; Obtain the associated attribute of the associated data, call the corresponding associated template according to the associated attribute and fill it into the target filling area, and fill the associated data into the associated template to obtain the summary text; Construct a target filling area corresponding to the target sub-text based on the area construction strategy, including: Call the corresponding preset filling area based on the label attribute corresponding to the text label of the target sub-text, and obtain the last row of data of the target sub-text as an insertion row; If there is no corresponding associated template below the insertion line, insert the preset filling area below the insertion line to obtain the target filling area corresponding to the target sub-text; If there is a corresponding associated template below the insertion line, insert the preset filling area below the last associated template in the corresponding associated templates to obtain the target filling area corresponding to the target sub-text; Obtain the associated attribute of the associated data, call the corresponding associated template according to the associated attribute and fill it into the target filling area, and fill the associated data into the associated template to obtain the summary text, including: Determining that the associated attribute is associated data of a combined attribute as combined data, and that the associated attribute is an associated data of a single attribute as single data; Call a combination template according to the combination attribute and fill it into the target filling area, and fill the combination data into the combination template to obtain combination filling information; Call a single template according to the single attribute to fill in the target filling area, and fill the single data into the single template to obtain single filling information. The associated template includes a combination template and a single template; Update the basic text based on the combined filling information and/or single filling information to obtain a summary text; The combination template is called according to the combination attribute and filled into the target filling area, and the combination data is filled into the combination template to obtain the combination filling information, including: Obtain multiple first images corresponding to the combined data, and delete the filled slots in the combined template according to the total image number of the first image until the number of filled slots is equal to the Stop deleting the filled slots when the total number of images is reached; Wherein, the combined template includes a plurality of filling slots arranged laterally; Adjust the deleted combined template based on the first image to obtain a combined adjustment template; Delete the blank lines in the target filling area except the combination adjustment template; Fill each first image into the corresponding filling slot in the combination template to obtain combined filling information; Call a single template according to the single attribute and fill it into the target filling area, and fill the single data into the single template to obtain a single filling information, including: Obtain the second image corresponding to the single data, and adjust the template vertical length of the single template according to the image vertical length of the second image to obtain a single adjustment template; Delete the blank lines in the target filling area except the single adjustment template; Fill the second image into the filling slot of the single template to obtain single filling information. 9. Electronic equipment, characterized in that it includes: a memory, a processor and a computer program, the computer program is stored in the memory, the processor runs the computer program to execute any one of claims 1 to 7 method. 10. A readable storage medium, characterized in that a computer program is stored in the readable storage medium, and the computer program is used to implement the method of any one of claims 1 to 7 when executed by a processor.