Browse Components - Code Extractor

function create_folder_hierarchy_v1

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

File: /tf/active/vicechatdev/offline_docstore_multi.py | Lines: 1233-1289

neo4j graph-database folder-hierarchy file-system path-processing

function create_folder_hierarchy_v2

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 nodes and relationships in a Neo4j graph database for a processed document, including its text and table chunks, connecting it to a folder hierarchy.

File: /tf/active/vicechatdev/offline_docstore_multi.py | Lines: 1181-1231

neo4j graph-database document-management knowledge-graph data-ingestion

function add_document_to_graph_v1

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_v1

Process different document types for RAG context extraction

File: /tf/active/vicechatdev/offline_docstore_multi.py | Lines: 189-1177

class documentprocessor

class MyEmbeddingFunction_v3

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

File: /tf/active/vicechatdev/offline_docstore_multi.py | Lines: 127-187

embeddings openai vector-database chromadb text-processing

class MyEmbeddingFunction_v2

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 main_v9

Entry point function that orchestrates the Project Victoria disclosure analysis by initializing the generator, running the complete analysis, and displaying results with next steps.

File: /tf/active/vicechatdev/project_victoria_disclosure_generator.py | Lines: 859-878

main-entry-point cli disclosure-analysis legal-documentation project-victoria

function main_v14

Entry point function that instantiates an ImprovedProjectVictoriaGenerator and executes its complete pipeline to generate disclosure documents.

File: /tf/active/vicechatdev/improved_project_victoria_generator.py | Lines: 789-793

entry-point main-function disclosure-generation RAG document-generation

function main_v13

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_v12

Entry point function for a FileCloud ACL management test script that parses command-line arguments and initiates ACL testing.

File: /tf/active/vicechatdev/test_acl_functions.py | Lines: 127-137

cli command-line testing filecloud acl

function main_v11

Entry point function that parses command-line arguments and orchestrates the FileCloud email processing workflow to find, download, and convert .msg files.

File: /tf/active/vicechatdev/msg_to_eml.py | Lines: 1518-1535

cli command-line entry-point filecloud email-processing

function main_v10

Entry point function that executes a comprehensive test suite for Chroma DB collections, including collection listing and creation tests, followed by troubleshooting suggestions.

File: /tf/active/vicechatdev/test_chroma_collections.py | Lines: 186-204

testing debugging chroma-db database collections

class MyEmbeddingFunction

Custom embedding function class that integrates OpenAI's embedding API with Chroma DB for generating vector embeddings from text documents.

File: /tf/active/vicechatdev/project_victoria_disclosure_generator.py | Lines: 819-856

embeddings openai chroma vector-database nlp

class MyEmbeddingFunction_v1

A custom embedding function class that generates embeddings for documents using OpenAI's API, with built-in text summarization for long documents and token management.

File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py | Lines: 589-683

embeddings openai chromadb vector-database text-summarization

class ProjectVictoriaDisclosureGenerator

Main class for generating Project Victoria disclosures from warranty claims.

File: /tf/active/vicechatdev/project_victoria_disclosure_generator.py | Lines: 63-816

class projectvictoriadisclosuregenerator

function merge_word_documents

Merges track changes and comments from a revision Word document into a base Word document, creating a combined output document.

File: /tf/active/vicechatdev/word_merge.py | Lines: 1153-1166

document-processing word-documents docx merge track-changes

class DocxMerger

A class named DocxMerger

File: /tf/active/vicechatdev/word_merge.py | Lines: 41-1150

class docxmerger

class User

A user management class that handles authentication, authorization, user profiles, preferences, file management, and logging for a Panel-based web application with Neo4j backend.

File: /tf/active/vicechatdev/userclass.py | Lines: 23-396

authentication authorization user-management role-based-access-control neo4j

function update_access_tokens

Updates access control tokens for nodes in a Neo4j graph database by traversing relationships from token carrier nodes and storing accumulated access keys.

File: /tf/active/vicechatdev/dbinit.py | Lines: 9-26

neo4j graph-database access-control security token-management