Search - Code Extractor

function check_fixes

A diagnostic function that prints a comprehensive summary report of email notification fixes implemented in a CDocs system, verifying template files and documenting debugging enhancements.

File: /tf/active/vicechatdev/fix_summary.py

diagnostic verification email-templates debugging documentation

function extract_warranty_data_improved

Parses markdown-formatted warranty documentation to extract structured warranty data including IDs, titles, sections, disclosure text, and reference citations.

File: /tf/active/vicechatdev/improved_convert_disclosures_to_table.py

markdown-parsing text-extraction warranty-processing document-parsing regex

function parse_references_section

Parses a formatted references section string and extracts structured data including reference numbers, sources, and content previews using regular expressions.

File: /tf/active/vicechatdev/improved_convert_disclosures_to_table.py

parsing text-processing references citations regex

function create_word_report_improved

Generates a formatted Microsoft Word document report containing warranty disclosures with table of contents, structured sections, and references.

File: /tf/active/vicechatdev/improved_convert_disclosures_to_table.py

document-generation word-processing report-generation docx warranty-management

class MetadataCatalog

Helper class to manage FileCloud metadata sets and attributes. This class provides methods to work with FileCloud metadata by providing a more user-friendly interface on top of the raw API.

File: /tf/active/vicechatdev/metadata_catalog.py

class metadatacatalog

function get_bib

Fetches BibTeX citation data for a given DOI (Digital Object Identifier) from the CrossRef API.

File: /tf/active/vicechatdev/offline_parser_docstore.py

bibliography citation bibtex doi crossref

function get_bibtext

Retrieves and parses BibTeX citation data for a given DOI (Digital Object Identifier), extracting the title and formatted BibTeX string.

File: /tf/active/vicechatdev/offline_parser_docstore.py

bibliography bibtex doi citation academic

class RegulatoryExtractor

A class for extracting structured metadata from regulatory guideline PDF documents using LLM-based analysis and storing the results in an Excel tracking spreadsheet.

File: /tf/active/vicechatdev/reg_extractor.py

pdf-extraction regulatory-documents llm-extraction ocr data-extraction

function extract_total_references

Extracts the total count of references from markdown-formatted content by first checking for a header line with the total, then falling back to manually counting reference entries.

File: /tf/active/vicechatdev/enhanced_word_converter_fixed.py

markdown parsing text-processing references bibliography

function create_enhanced_word_document_v1

Converts markdown content into a formatted Microsoft Word document with proper styling, table of contents, warranty sections, and reference handling for Project Victoria warranty disclosures.

File: /tf/active/vicechatdev/enhanced_word_converter_fixed.py

document-generation word-processing markdown-conversion docx formatting

function format_inline_references

Formats inline citation references (e.g., [1], [2]) in a Word document paragraph by applying italic styling to them while preserving the rest of the text.

File: /tf/active/vicechatdev/enhanced_word_converter_fixed.py

document-formatting word-processing python-docx text-formatting citations

class ReferenceManager_v2

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

class referencemanager

class OneCo_hybrid_RAG

A class named OneCo_hybrid_RAG

File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py

class oneco_hybrid_rag

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

citation bibliography reference-management document-tracking RAG

class FixedProjectVictoriaGenerator

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

File: /tf/active/vicechatdev/fixed_project_victoria_generator.py

class fixedprojectvictoriagenerator

class DocumentDetail

Document detail view component

File: /tf/active/vicechatdev/document_detail_backup.py

class documentdetail

Base class that contains all static elements of the app Parameters ---------- image : str An Image UID which may be passed on app startup. Immediately redirects to said image Attributes ---------- current_user : Userclass A class containing various information on the user workspace : panel.layout.Column The main container of the app sidebar : panel.layout.Column Container showing items on the side of the app head : panel.layout.Row The header of the app modal : panel.layout.Column The container for the modal window of the app

File: /tf/active/vicechatdev/datacapture_integrated.py

class pathobrowser_base

class ReferenceManager_v3

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_old.py

class referencemanager

class OneCo_hybrid_RAG_v1

A class named OneCo_hybrid_RAG

File: /tf/active/vicechatdev/OneCo_hybrid_RAG_old.py

class oneco_hybrid_rag

function test_reference_system_completeness

A diagnostic test function that prints a comprehensive overview of a reference system's architecture, including backend storage, API endpoints, reference types, and content flow verification.

File: /tf/active/vicechatdev/reference_system_verification.py

testing documentation diagnostic reference-system api-endpoints

class DocumentDetail_v1

Document detail view component

File: /tf/active/vicechatdev/document_detail_old.py

class documentdetail

class ReferenceManager_v1

Manages document references for inline citation and bibliography generation, tracking documents and generating formatted citations and bibliographies.

File: /tf/active/vicechatdev/improved_project_victoria_generator.py

citation bibliography reference-management document-tracking inline-citation

class ImprovedProjectVictoriaGenerator

Improved Project Victoria Disclosure Generator with proper reference management.

File: /tf/active/vicechatdev/improved_project_victoria_generator.py

class improvedprojectvictoriagenerator

class ReferenceManager_v4

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.py

class referencemanager

class OneCo_hybrid_RAG_v2

A class named OneCo_hybrid_RAG

File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

class oneco_hybrid_rag

class ExtensiveSearchManager

Manages extensive search functionality including full document retrieval, summarization, and enhanced context gathering.

File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

class extensivesearchmanager

function generate_cypher_examples

Generates a comprehensive Cypher query examples file for interacting with a Neo4j graph database based on the provided schema information.

File: /tf/active/vicechatdev/neo4j_schema_report.py

neo4j cypher graph-database code-generation documentation

class DocxMerger

A class named DocxMerger

File: /tf/active/vicechatdev/word_merge.py

class docxmerger

class ProjectVictoriaDisclosureGenerator

Main class for generating Project Victoria disclosures from warranty claims.

File: /tf/active/vicechatdev/project_victoria_disclosure_generator.py

class projectvictoriadisclosuregenerator

class pathobrowser_base_v1

Base class that contains all static elements of the app Parameters ---------- image : str An Image UID which may be passed on app startup. Immediately redirects to said image Attributes ---------- current_user : Userclass A class containing various information on the user workspace : panel.layout.Column The main container of the app sidebar : panel.layout.Column Container showing items on the side of the app head : panel.layout.Row The header of the app modal : panel.layout.Column The container for the modal window of the app

File: /tf/active/vicechatdev/datacapture.py

class pathobrowser_base

class EnhancedMeetingMinutesGenerator

A class named EnhancedMeetingMinutesGenerator

File: /tf/active/vicechatdev/leexi/enhanced_meeting_minutes_generator.py

class enhancedmeetingminutesgenerator

function main_v2

Command-line interface function that orchestrates the generation of enhanced meeting minutes from transcript files and PowerPoint presentations using various LLM models (GPT-4o, Azure GPT-4o, or Gemini).

File: /tf/active/vicechatdev/leexi/enhanced_meeting_minutes_generator.py

cli command-line meeting-minutes llm gpt-4

function test_attendee_extraction

A test function that validates the attendee extraction logic of the EnhancedMeetingMinutesGenerator by parsing a meeting transcript and displaying extracted metadata including speakers, date, and duration.

File: /tf/active/vicechatdev/leexi/test_attendee_extraction.py

testing unit-test meeting-minutes attendee-extraction metadata-parsing

function compare_with_expected_folders

Compares SharePoint folders found via Microsoft Graph API against a predefined list of expected folder names from a reference screenshot, reporting matches, missing folders, and additional folders.

File: /tf/active/vicechatdev/SPFCsync/test_folder_structure.py

sharepoint validation folder-comparison microsoft-graph testing

function basic_rag_example

Demonstrates a basic RAG (Retrieval-Augmented Generation) workflow by initializing a DocChatRAG engine, executing a sample query about document topics, and displaying the response with metadata.

File: /tf/active/vicechatdev/docchat/example_usage.py

rag retrieval-augmented-generation example demo document-chat

function conversation_example

Demonstrates a multi-turn conversational RAG system with chat history management, showing how follow-up questions are automatically optimized based on conversation context.

File: /tf/active/vicechatdev/docchat/example_usage.py

RAG conversational-ai chat-history multi-turn-conversation context-management

function process_chat_background

Processes chat requests asynchronously in a background thread, managing RAG engine interactions, progress updates, and session state for various query modes including basic, extensive, full_reading, and deep_reflection.

File: /tf/active/vicechatdev/docchat/app.py

background-processing async rag chat document-retrieval

function get_instruction_templates

Flask API endpoint that returns a dictionary of predefined instruction templates for different document types including SOPs, work instructions, quality forms, and document comparison guidelines.

File: /tf/active/vicechatdev/docchat/app.py

flask api endpoint templates instructions

class QueryBasedExtractor

A class that extracts relevant information from documents using a small LLM (Language Model), designed for Extensive and Full Reading modes in RAG systems.

File: /tf/active/vicechatdev/docchat/rag_engine.py

information-extraction document-processing llm rag query-based

class DocChatRAG

Main RAG engine with three operating modes: 1. Basic RAG (similarity search) 2. Extensive (full document retrieval with preprocessing) 3. Full Reading (process all documents)

File: /tf/active/vicechatdev/docchat/rag_engine.py

class docchatrag

class DocumentProcessor_v3

Handles document processing and text extraction using llmsherpa (same approach as offline_docstore_multi_vice.py).

File: /tf/active/vicechatdev/docchat/document_processor.py

class documentprocessor

class ContractDataExtractor

Extract structured data from legal contracts using LLM analysis

File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

class contractdataextractor

class DocumentProcessor_v1

A document processing class that extracts text from PDF and Word documents using llmsherpa as the primary method with fallback support for PyPDF2, pdfplumber, and python-docx.

File: /tf/active/vicechatdev/contract_validity_analyzer/utils/document_processor_new.py

document-processing text-extraction pdf-processing word-processing llmsherpa

class DocumentProcessor_v2

A document processing class that extracts text from PDF and Word documents using llmsherpa as the primary method with fallback support for PyPDF2, pdfplumber, and python-docx.

File: /tf/active/vicechatdev/contract_validity_analyzer/utils/document_processor_old.py

document-processing text-extraction pdf-processing word-processing llmsherpa

class DocumentSection

A class representing a section within a complex document, supporting hierarchical structure with headers, text content, and references.