🔍 Code Extractor

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• function publish_document

  Publishes an approved controlled document by converting it to PDF with signatures and audit trail, uploading to FileCloud, and updating the document status to PUBLISHED.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 895-1103

  document-management publishing pdf-conversion audit-trail controlled-documents

• function set_current_version

  Sets a specific version of a controlled document as the current/active version, updating the document's currentVersionUID property and logging the change.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 797-888

  document-management version-control controlled-documents audit-trail permissions

• function download_document_version

  Downloads a specific version of a controlled document from FileCloud storage, with optional audit trail and watermark inclusion, and logs the download event.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 696-792

  document-management file-download version-control audit-trail watermark

• function get_document_version

  Retrieves detailed information about a specific document version by its UID, including associated document context and version status.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 644-692

  document-management version-control retrieval controlled-documents metadata

• function create_document_version

  Creates a new version of an existing document in a document management system, storing the file in FileCloud and tracking version metadata in Neo4j graph database.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 497-641

  document-management version-control filecloud neo4j graph-database

• function generate_document_number

  Generates a unique document number by combining document type code, department code, and using a settings-based generation function, with UUID fallback on error.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 470-492

  document-management unique-identifier document-number code-generation error-handling

• function delete_document

  Deletes a controlled document from the system with permission checks, status validation, and audit logging.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 407-466

  document-management deletion controlled-documents audit-trail permissions

• function search_documents

  Searches for documents in a Neo4j graph database based on multiple optional filter criteria including text query, document type, department, status, and owner.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 308-402

  search documents neo4j cypher database-query

• function get_document

  Retrieves comprehensive details of a controlled document by its UID, with optional inclusion of version history, review cycles, and approval cycles.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 244-303

  document-management controlled-documents retrieval version-control review-workflow

• function create_document

  Creates a new controlled document in a document management system with versioning, audit trails, and optional initial content.

  File: /tf/active/vicechatdev/document_controller_backup.py | Lines: 65-241

  document-management controlled-documents document-creation versioning audit-trail

• function create_folder

  Creates a nested folder structure on a FileCloud server by traversing a path and creating missing directories.

  File: /tf/active/vicechatdev/filecloud_wuxi_sync.py | Lines: 12-44

  filecloud api folder-creation directory-management rest-api

• function main_v5

  Entry point function that instantiates a FixedProjectVictoriaGenerator and executes its complete pipeline to generate fixed disclosure documents.

  File: /tf/active/vicechatdev/fixed_project_victoria_generator.py | Lines: 1624-1628

  entry-point pipeline disclosure-generation orchestration main-function

• function main_v4

  A test function that validates email template rendering by testing multiple HTML email templates with sample data structures for document review and approval workflows.

  File: /tf/active/vicechatdev/test_comprehensive_templates.py | Lines: 45-113

  testing email-templates validation document-management template-rendering

• function main_v3

  Main entry point function that reads a markdown file, converts it to an enhanced Word document with preserved heading structure, and saves it with a timestamped filename.

  File: /tf/active/vicechatdev/improved_word_converter.py | Lines: 187-215

  document-conversion markdown-to-word file-processing docx main-entry-point

• function main_v2

  Converts a markdown file containing warranty disclosure data into multiple tabular formats (CSV, Excel, Word) with timestamped output files.

  File: /tf/active/vicechatdev/convert_disclosures_to_table.py | Lines: 373-429

  markdown-conversion data-extraction report-generation csv-export excel-export

• class FixedProjectVictoriaGenerator

  Fixed Project Victoria Disclosure Generator that properly handles all warranty sections.

  File: /tf/active/vicechatdev/fixed_project_victoria_generator.py | Lines: 219-1622

  class fixedprojectvictoriagenerator

• class ReferenceManager

  Manages document references for inline citation and bibliography generation in a RAG (Retrieval-Augmented Generation) system.

  File: /tf/active/vicechatdev/fixed_project_victoria_generator.py | Lines: 49-217

  citation bibliography reference-management document-tracking RAG

• class ReferenceManager_v1

  Manages extraction and formatting of references for LLM chat responses. Handles both file references and BibTeX citations, formatting them according to various academic citation styles.

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py | Lines: 75-587

  class referencemanager

• class OneCo_hybrid_RAG

  A class named OneCo_hybrid_RAG

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py | Lines: 790-1760

  class oneco_hybrid_rag

• class SimpleDataHandle

  A data handler class that manages multiple data sources with different types (dataframes, vector stores, databases) and their associated processing configurations.

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py | Lines: 718-787

  data-management registry vector-store RAG dataframe