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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
  • 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 validate_and_alternatives

    Validates whether a given keyword is a valid chemical compound, biochemical concept, or drug-related term using GPT-4, and returns alternative names/synonyms if valid.

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

    validation chemistry biochemistry drug-research llm
  • 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_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 create_word_report

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

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

    document-generation word-document docx report-generation warranty
  • function create_enhanced_word_document

    Converts markdown-formatted warranty disclosure content into a formatted Microsoft Word document with hierarchical headings, styled text, lists, and special formatting for block references.

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

    document-generation markdown-to-word docx warranty-processing legal-documents
  • function extract_warranty_sections

    Parses markdown content to extract warranty section headers, returning a list of dictionaries containing section IDs and titles for table of contents generation.

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

    markdown-parsing text-processing warranty-documents table-of-contents document-structure
  • 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
  • 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 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

    embeddings openai chromadb vector-database text-summarization
  • class SimpleChatMemory

    A simple chat memory manager that stores and retrieves conversation history between users and assistants with configurable history limits.

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

    chat memory conversation history chatbot
  • 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_document_audit_trail

    Retrieves the complete audit trail for a controlled document from a Neo4j graph database, including timestamps, user actions, and event details.

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

    audit document-management neo4j graph-database compliance
  • function get_document_v6

    Retrieves all versions of a document from the database given its unique identifier (UID).

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

    document-management version-control database-query error-handling controller
  • 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 PatternBasedExtractor

    Extract flocks based on farm-level In-Ovo usage patterns.

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

    class patternbasedextractor
  • 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
  • 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

    neo4j graph-database database-update cypher node-update
  • 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_v4

    Process different document types for RAG context extraction

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

    class documentprocessor
  • 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

    neo4j graph-database file-system hierarchy folder-structure
  • class DocumentConverter

    A class that converts various document formats (Word, Excel, PowerPoint, OpenDocument, Visio) to PDF using LibreOffice's headless conversion capabilities, with support for parallel processing and directory structure preservation.

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

    document-conversion pdf libreoffice batch-processing parallel-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
  • function test_acl_functions

    Comprehensive test function that validates ACL (Access Control List) management operations in FileCloudAPI, including creating, reading, updating, and deleting ACL entries for users and groups.

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

    testing acl access-control permissions filecloud
  • function main_v43

    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

    cli command-line testing filecloud acl
  • 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 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 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 msg_to_pdf

    Converts a Microsoft Outlook .msg email file to a single PDF document, including the email body and all attachments merged together.

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

    email-conversion pdf-generation msg-file outlook document-processing
  • function generate_simple_html_from_eml

    Converts an email.message.Message object into a clean, styled HTML representation with embedded inline images and attachment listings.

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

    email html-generation email-parsing mime inline-images
  • function eml_to_pdf

    Converts an .eml email file to PDF format, including the email body and all attachments merged into a single PDF document.

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

    email-processing pdf-conversion eml-parser document-conversion attachment-handling
  • class Neo4jEncoder

    A custom JSON encoder that extends json.JSONEncoder to handle Neo4j-specific data types and Python objects that are not natively JSON serializable.

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

    json encoder serialization neo4j datetime
  • 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_html_report

    Generate HTML report from schema info

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

    function generate_html_report

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