Browse Components - Code Extractor

function create_folder_hierarchy

Creates a hierarchical structure of Subfolder nodes in a Neo4j graph database based on a file system path, connecting each folder level with PATH relationships.

File: /tf/active/vicechatdev/offline_docstore_multi_vice.py | Lines: 1277-1327

neo4j graph-database file-system hierarchy folder-structure

function create_folder_hierarchy_v1

Creates a hierarchical structure of Subfolder nodes in a Neo4j graph database based on a file path, establishing parent-child relationships between folders.

File: /tf/active/vicechatdev/offline_parser_docstore.py | Lines: 114-169

neo4j graph-database hierarchy folder-structure file-system

function add_document_to_graph

Creates a Neo4j graph node for a processed document and connects it to a folder hierarchy, along with its text and table chunks.

File: /tf/active/vicechatdev/offline_docstore_multi_vice.py | Lines: 1220-1275

neo4j graph-database document-management knowledge-graph cypher-query

class DocumentProcessor

Process different document types for RAG context extraction

File: /tf/active/vicechatdev/offline_docstore_multi_vice.py | Lines: 197-1216

class documentprocessor

class MyEmbeddingFunction_v1

A custom embedding function class that generates embeddings for text documents using OpenAI's embedding models, with automatic text summarization and token management for large documents.

File: /tf/active/vicechatdev/offline_docstore_multi_vice.py | Lines: 135-195

embeddings openai chromadb text-processing summarization

function push_changes

Updates a node's properties in a Neo4j graph database by matching on UID and setting new property values.

File: /tf/active/vicechatdev/offline_docstore_multi_vice.py | Lines: 98-133

neo4j graph-database database-update cypher node-update

function evaluate_query

Executes a Cypher query against a Neo4j database session and returns the first value from a single result record.

File: /tf/active/vicechatdev/offline_docstore_multi_vice.py | Lines: 74-96

neo4j cypher database graph-database query-execution

function run_query

Executes a Cypher query against a Neo4j database session and returns the result, with optional parameterization for safe query execution.

File: /tf/active/vicechatdev/offline_docstore_multi_vice.py | Lines: 54-72

neo4j graph-database cypher query-execution database

function init_connections

Initializes and returns a Neo4j database session and driver connection using configuration settings.

File: /tf/active/vicechatdev/offline_docstore_multi_vice.py | Lines: 46-52

database neo4j graph-database connection initialization

function main_v7

Entry point function that orchestrates the process of loading a meeting transcript, generating structured meeting minutes using OpenAI's GPT-4o API, and saving the output to a file.

File: /tf/active/vicechatdev/meeting_minutes_generator.py | Lines: 139-173

main-function entry-point meeting-minutes transcript-processing openai

function main_v8

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

class MeetingMinutesGenerator

A class that generates professional meeting minutes from meeting transcripts using OpenAI's GPT-4o model, with capabilities to parse metadata, extract action items, and format output.

File: /tf/active/vicechatdev/meeting_minutes_generator.py | Lines: 20-137

meeting-minutes transcript-processing openai gpt-4o natural-language-processing

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 | Lines: 7-79

testing documentation diagnostic reference-system api-endpoints

class FileCloudAPI_v1

Python wrapper for the FileCloud REST API. This class provides methods to interact with FileCloud server APIs, handling authentication, session management, and various file operations.

File: /tf/active/vicechatdev/FC_api.py | Lines: 19-3233

class filecloudapi

class OneCo_hybrid_RAG_v1

A class named OneCo_hybrid_RAG

File: /tf/active/vicechatdev/OneCo_hybrid_RAG_old.py | Lines: 835-1920

class oneco_hybrid_rag

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_old.py | Lines: 75-632

class referencemanager

function main_v3

Main entry point for a Streamlit-based FileCloud Data Processor application that handles authentication, session state management, and navigation between multiple modules including document audit, controlled documents, settings, and reports.

File: /tf/active/vicechatdev/datacapture_integrated.py | Lines: 4278-4312

streamlit application-entry-point authentication navigation session-management

function main_v6

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_v5

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_v4

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