Search - Code Extractor

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

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

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

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

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

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

search documents neo4j cypher database-query

function clone_document_v1

Clones an existing controlled document to create either a new independent document or a new revision of the same document, optionally including the document's content.

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

document-management cloning versioning controlled-documents revision-control

function get_documents_v1

Retrieves filtered and paginated documents from a Neo4j graph database with permission-based access control, supporting multiple filter criteria and search functionality.

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

document-management neo4j graph-database filtering pagination

class FileCloudAPI

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 copy.py

class filecloudapi

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 OneCo_hybrid_RAG_v1

A class named OneCo_hybrid_RAG

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

class oneco_hybrid_rag

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

class filecloudapi

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

embeddings openai chromadb text-processing summarization

class DocumentProcessor_v5

Process different document types for RAG context extraction

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

class documentprocessor

class options

A Panel-based UI class for managing slide release visibility in a study management system, allowing users to view and toggle the release status of slides at various hierarchical levels (Study, Group, Animal, Block, Slide).

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

panel ui neo4j graph-database slide-management

class ImprovedProjectVictoriaGenerator

Improved Project Victoria Disclosure Generator with proper reference management.

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

class improvedprojectvictoriagenerator

class QueryBasedExtractor_v2

A class that performs targeted information extraction from text using LLM-based query-guided extraction, with support for handling long documents through chunking and token management.

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

information-extraction text-processing llm openai query-based

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

class FileCloudEmailProcessor

A class that processes email files (.msg format) stored in FileCloud by finding, downloading, converting them to EML and PDF formats, and organizing them into mail_archive folders.

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

email-processing file-conversion cloud-storage filecloud msg-to-eml

function generate_neo4j_schema_report

Generates a comprehensive schema report of a Neo4j graph database, including node labels, relationships, properties, constraints, indexes, and sample data, outputting multiple file formats (JSON, HTML, Python snippets, Cypher examples).

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

neo4j graph-database schema-analysis database-introspection documentation-generation

function generate_python_snippets

Generates a Python file containing code snippets and helper functions for interacting with a Neo4j graph database based on the provided schema information.

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

code-generation neo4j graph-database cypher schema

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

function test_chroma_collections

A diagnostic function that tests connectivity to ChromaDB instances across multiple connection methods and lists all available collections with their metadata.

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

chromadb database-testing diagnostics connection-testing vector-database

class ProjectVictoriaDisclosureGenerator

Main class for generating Project Victoria disclosures from warranty claims.

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

class projectvictoriadisclosuregenerator

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

embeddings openai vector-database chromadb text-processing

class DocumentProcessor_v6

Process different document types for RAG context extraction

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

class documentprocessor

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

function extract_previous_reports_summary

Extracts and summarizes key information from previous meeting report files using document extraction and OpenAI's GPT-4o-mini model to provide context for upcoming meetings.

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

meeting-analysis document-extraction text-summarization llm openai

class EnhancedMeetingMinutesGenerator

A class named EnhancedMeetingMinutesGenerator

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

class enhancedmeetingminutesgenerator

class SyncDiagnostics

A diagnostic class that analyzes and reports on synchronization issues between SharePoint and FileCloud, identifying missing files and root causes of sync failures.

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

diagnostics sync-analysis sharepoint filecloud troubleshooting

function main_v11

Main entry point for a SharePoint to FileCloud synchronization application that handles command-line arguments, connection testing, and orchestrates single or continuous sync operations.

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

cli entry-point synchronization sharepoint filecloud

function dry_run_test

Performs a dry run test of SharePoint to FileCloud synchronization, analyzing up to a specified number of documents without actually transferring files.

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

dry-run testing sharepoint filecloud sync

class SharePointGraphClient

SharePoint client using Microsoft Graph API. This bypasses SharePoint REST API app-only token issues.

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

class sharepointgraphclient

class SharePointFileCloudSync

Orchestrates synchronization of documents from SharePoint to FileCloud, managing the complete sync lifecycle including document retrieval, comparison, upload, and folder structure creation.

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

synchronization sharepoint filecloud document-management cloud-sync

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_v4

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