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Found 50 matching component(s)

  • 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
  • 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 extract_warranty_data

    Parses markdown-formatted warranty documentation to extract structured warranty information including IDs, titles, sections, source document counts, warranty text, and disclosure content.

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

    markdown-parsing data-extraction warranty-processing text-processing regex
  • 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 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

    data-management registry vector-store RAG dataframe
  • class OneCo_hybrid_RAG

    A class named OneCo_hybrid_RAG

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

    class oneco_hybrid_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 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 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
  • class DocumentDetail

    Document detail view component

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

    class documentdetail
  • class pathobrowser_base

    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
  • 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
  • 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 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

    meeting-minutes transcript-processing openai gpt-4o natural-language-processing
  • 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 DocumentDetail_v1

    Document detail view component

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

    class documentdetail
  • class ImprovedProjectVictoriaGenerator

    Improved Project Victoria Disclosure Generator with proper reference management.

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

    class improvedprojectvictoriagenerator
  • class MeetingMinutesGenerator_v1

    A class that generates professional meeting minutes from meeting transcripts using either OpenAI's GPT-4o or Google's Gemini AI models.

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

    meeting-minutes transcript-processing llm gpt-4o gemini
  • 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 html_to_pdf

    Converts HTML content to a PDF file using ReportLab with intelligent parsing of email-formatted HTML, including metadata extraction, body content processing, and attachment information.

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

    pdf-generation html-to-pdf email-conversion document-generation reportlab
  • 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 main_v41

    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

    cli command-line entry-point filecloud email-processing
  • 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
  • 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

    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

    embeddings openai chroma vector-database nlp
  • 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 analyze_logs

    Parses and analyzes log files to extract synchronization statistics, error counts, and performance metrics for a specified time period.

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

    log-analysis file-synchronization monitoring statistics parsing
  • function access_main_site_library

    Authenticates with Microsoft Graph API and attempts to locate and access the main SharePoint site library using multiple discovery approaches, displaying detailed information about sites, drives, and folder structures.

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

    sharepoint microsoft-graph oauth2 authentication diagnostic
  • function explore_alternative_endpoints

    Tests multiple Microsoft Graph API endpoints to locate missing folders in a SharePoint drive by trying different URL patterns and searching for expected folders.

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

    sharepoint microsoft-graph-api diagnostic debugging api-testing
  • function search_for_folders

    Searches for specific predefined folders in a SharePoint site using Microsoft Graph API and prints the search results with their locations.

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

    sharepoint microsoft-graph folder-search api document-management
  • function search_and_locate

    Searches for specific numbered folders (01-08) in a SharePoint site and traces their locations, contents, and file distributions by type.

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

    sharepoint search diagnostic folder-discovery microsoft-graph
  • 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
  • function full_reading_example

    Demonstrates the full reading mode of a RAG (Retrieval-Augmented Generation) system by processing all documents to answer a comprehensive query about key findings.

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

    example demonstration RAG retrieval-augmented-generation full-reading
  • function build_document_tree_recursive

    Recursively builds a complete hierarchical tree structure of documents and folders from a target directory path, filtering for supported file types and skipping hidden/cache directories.

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

    file-system directory-traversal recursive document-management tree-structure
  • function get_document_info

    Retrieves indexing status and metadata for a document, including whether it's indexed, its document ID, chunk count, and reindexing status.

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

    document-management indexing metadata vector-database chromadb
  • 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 api_chat

    Flask API endpoint that handles chat requests asynchronously, processing user queries through a RAG (Retrieval-Augmented Generation) engine with support for multiple modes, memory, web search, and custom configurations.

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

    flask api chat async rag
  • function api_document_tree

    Flask API endpoint that returns a hierarchical document tree structure from a configured document folder, supporting lazy loading and full expansion modes for efficient navigation and search.

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

    flask api rest-endpoint document-management tree-structure
  • function api_upload

    Flask API endpoint that handles file uploads, validates file types, saves files to a configured directory structure, and automatically indexes the uploaded document for search/retrieval.

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

    file-upload api-endpoint document-management rag indexing
  • function matches_source_filter

    Checks if a document path matches any of the provided source filters using exact match, folder prefix match, path component sequence match, or filename match.

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

    path-matching file-filtering document-filtering path-normalization string-matching
  • 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
  • function get_adjusted_top_k

    Calculates an adjusted top_k value for multi-language search operations by multiplying the base value by the number of languages to ensure sufficient results per language.

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

    multi-language search top-k result-scaling internationalization

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