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Examples of Code Explained by Visual Expert AI

Visual Expert AI analyzes code from multiple languages and generates business-oriented and technical explanations. Below are real examples demonstrating how VE AI describes various code components.

Table of Contents

PB Windows: w_order

The window w_order is designed to facilitate the management and processing of work orders, enhancing efficiency and organization in handling customer projects and tasks.

Business processes involved:

  1. Work Order Management: Facilitates the creation, duplication, and deletion of work orders, allowing for detailed tracking and management of various tasks and projects undertaken by a business.
  2. Material and Resource Integration: Manages the integration of materials and necessary resources within each work order, ensuring that all components for task completion are accounted for.
  3. Process Tracking and Updating: Enables tracking of the process associated with each work order, including updating the status and ensuring all steps are carried out efficiently.
  4. Data Interaction and Display: Provides a comprehensive interface for interacting with and displaying work order data, offering views into various segments such as materials, processes, and detailed operation phases.
  5. Document and File Handling: Supports the association and generation of necessary documents related to each work order, streamlining administrative tasks and record management.

PB Function: w_order.wf_process_order

The business purpose of the function wf_process_order is to handle the operations related to managing and updating a work order or project in a manufacturing system. It involves various processes that ensure the integrity and completeness of the work order data.

Business processes involved:

  1. Field Validation: Validates critical fields to ensure the data integrity of the work order type. If invalid, the process halts, alerting the user.
  2. User Constraints: Temporarily locks certain functionalities to prevent simultaneous changes by multiple users, ensuring that temporary updates are not overridden.
  3. Key Preparation: Prepares unique keys for the work order by checking if new identifiers are needed and generating them as required.
  4. Document References Check: Validates the existence of related documents such as order or production documents to maintain accurate references.
  5. Production State Initialization: Initializes the work order's production state for tracking the start and completion stages of production cycles.
  6. Process Data Reset and Insert: Resets and prepares to input the work order's process details and subprocesses, ensuring that components and operations are up-to-date.
  7. Cycle Management: Manages and documents the specific production cycles associated with the work order, including verification and adjustment steps.
  8. Operation Initialization: Handles and initializes different operations relevant to the work order, maintaining detailed record-keeping for production stages.
  9. Material Handling: Manages material allocation and checks to ensure only necessary materials are associated with the current production cycle, optimizing resource usage.
  10. Base Configuration: Sets up and modifies base configurations or bill of materials for accuracy before starting production-related activities.
  11. Sequencing for Production Navigator: Manages the sequence of operations and ensures the correct flow for work order activities within the system.
  12. New Order Assignment: Finalizes the assignment of numbers to new orders when needed and confirms their availability, completing the work order setup.

PB Windows: w_article

The business purpose of this Window is to manage the articles within the organization's database, covering various aspects like general data, codifications, specifications, images, descriptions, and processes. It is structured within a window that contains multiple tabs representing different facets of an article.

Business processes involved:

  1. General Data Management: Handles the basic identification and general attributes of articles, ensuring data consistency and integration across the application.
  2. Codification System: Manages the encoding of articles within the system, which might involve unique identifiers, classifications, and categorizations that help streamline inventory and catalog management.
  3. Specification Handling: Allows for the recording and maintenance of detailed physical and functional specifications of articles, aiding in technical conformity and operational adequacy.
  4. Image and Media Management: Supports the association of visual data with articles, facilitating better identification and richer descriptions for marketing and informational purposes.
  5. Extended Description Handling: Manages in-depth textual descriptions and associated media of articles, which are key in detailed product documentation and reporting.
  6. Pricing and Listing Management: Involves the registration and retrieval of pricing data, special price lists, and promotional price management for articles, vital for sales strategy and customer interactions.
  7. Production Process and Costing: Handles the setup of bill of materials and production plans, along with cost management, which are crucial for determining the profitability and cost-effectiveness of manufacturing operations.

PB Event: w_article.ue_upd_inv

The business purpose of this event is to handle the update process for the data related to inventory management in a database. This involves ensuring that different parts of the data related to items are validated and updated properly while also maintaining data integrity and consistency.

Business processes involved:

  1. Data Validation and Preparation: This process ensures that all the necessary fields meet the required criteria before any action is taken. It prepares data like item codes and validates required item components.
  2. Barcode Management: Includes checks for active barcode management and ensures that the barcode values are unique and valid.
  3. Accounting Controls: Ensures that financial accounts related to purchasing and selling are valid and properly set up to avoid inconsistencies in financial data.
  4. Cost Verification: Controls for the accuracy and transparency of item cost tables to ensure all necessary entries are accounted for.
  5. Pricing Coherence: Verifies that price list coherencies are maintained across different items according to list types, ensuring their correctness.
  6. Update Operations Tracking: Handles the update operations across multiple tables and ensures that database updates for all components execute successfully. If successful, the changes are committed; otherwise, a rollback is initiated to maintain data integrity.
  7. User Feedback and Commit Action: Provides confirmation messages post-update and feedback to the user for actions taken, ensuring that operations conclude with the proper resolution.

Oracle Package: ETF_MGT

The business purpose of the PACKAGE ETF_MGT is to handle various processes related to Electronic Fund Transfer (EFT) agreements, including creating, modifying, and managing agreement records within specified procedures.

Business processes involved:

  1. Agreement Identification: This process involves generating unique agreement IDs for EFT transactions to maintain traceability and uniqueness in records.
  2. Agreement Creation and Modification: This includes adding new records, modifying existing ones, and validating data integrity through various editing procedures.
  3. Validation Procedures: These processes ensure the correctness of authorization dates, EFT methods, waivers, and current agreements before the data is stored or updated.
  4. Transaction Posting: Handles posting new or updated agreements, including related records to ensure data consistency and up-to-date information across systems.
  5. Agreement Retrieval and Deletion: Retrieves records based on vendor or person IDs and handles the removal of agreements when necessary to maintain database accuracy and compliance standards.

Oracle PL/SQL Procedure: ETF_MGT.Process_records

The business purpose of the procedure "Process_records" is to handle edits and operations on financial and organizational records based on their status, ensuring proper updates, email notifications, and error logging.

Business processes involved:

  1. Record Status Check: Determines if the record is marked as 'delete' or 'expired' to bypass edits, otherwise proceeds with full processing.
  2. Email Notification: Constructs and sends an email for updated records, logging the sent emails.
  3. Error Handling: Captures any errors occurring during email sending and logs them for future reference.
  4. Data Initialization and Validation: Initializes necessary record types and validates the organizational identifiers using associated procedures.
  5. Organizational Edits: Executes multiple organizational edits such as updating addresses, account information, and agreement details, capturing necessary changes.
  6. Record Commit and Log Update: Upon successful edits, commits the changes and updates the record log to track the number of processed records.
  7. Error Insertion: If errors occur in the processing procedures, inserts the errors into tracking tables for resolution.
  8. Data Retrieval and Cross-referencing: Retrieves relevant data, like financial institution information, using provided identifiers to ensure correct updates and notifications are sent.
  9. Post-processing Validation: Ensures the integrity of updates by checking for any remaining errors after processing.

SQL Server T-SQL Procedure: ProductByCustomer

The business purpose of the stored procedure ProductsByCustomer is to retrieve and display a list of products associated with a given customer, based on their purchases, while also performing certain validations and adjustments regarding customer information and product details.

Business processes involved:

  1. Customer Data Validation: Check if the customer's first name is present and valid, to proceed with retrieving associated product details and customer-specific adjustments. If a customer is identified as having no valid first name, they are flagged for deletion from employee records.
  2. Product Association Retrieval: Gather all products purchased by the customer by joining various datasets on customer ID and product details, ensuring correct mapping of customer transactions to products. This helps in identifying specific product associations with individual customers based on sales.
  3. Product Count Determination: Calculate the total number of distinct products associated with the given customer, which assists in managing inventory and customer purchase patterns.
  4. Customer Fullname Display: Generate and display the customer's full name for clarity and to personalize the list of products shown, enhancing the customer service experience.
  5. Product List Presentation: Print out a formatted list of products associated with the customer, arranged to show both the product name and the corresponding financial amount, giving a comprehensive view of products tied to the customer.
  6. Product Details Refinement: Validate product details such as size to ensure that the list representing customer purchases includes only relevant products, helping in maintaining data integrity and accuracy during the process of presenting customer-specific purchase data.
  7. Final Validation: Post validation, repeat deletion of employee records in case of invalid customer data, ensuring records are current and any invalid customer statuses are addressed efficiently.

 

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