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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 create_excel_report_improved

    Creates a multi-sheet Excel report from warranty data, including main report, summary view, complete data, references, and statistics sheets with auto-formatted columns.

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

    excel reporting data-export pandas multi-sheet
  • 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
  • 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 create_excel_report

    Creates a multi-sheet Excel report from warranty data, including main report, summary view, complete data, and statistics sheets with auto-formatted columns.

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

    excel reporting data-export pandas openpyxl
  • 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_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 create_document_v1

    Creates a new version of an existing document in a document management system, storing the file in FileCloud and tracking version metadata in Neo4j graph database.

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

    document-management version-control filecloud neo4j graph-database
  • function get_document_v2

    Retrieves detailed information about a specific document version by its UID, including associated document context and version status.

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

    document-management version-control retrieval controlled-documents metadata
  • function publish_document

    Publishes an approved controlled document by converting it to PDF with signatures and audit trail, uploading to FileCloud, and updating the document status to PUBLISHED.

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

    document-management publishing pdf-conversion audit-trail controlled-documents
  • function convert_document_to_pdf_v1

    Converts a document version from an editable format (e.g., Word) to PDF without changing the document's status, uploading the result to FileCloud and updating the version record.

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

    document-conversion pdf-generation filecloud controlled-documents document-management
  • 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
  • function main_page

    Renders the main navigation page for the FileCloud Data Processor application, providing authenticated users with access to various modules including document audit, controlled documents, settings, and reports.

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

    streamlit ui navigation authentication dashboard
  • 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 DocumentDetail_v1

    Document detail view component

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

    class documentdetail
  • 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
  • function msg_to_eml

    Converts Microsoft Outlook .msg files to standard .eml format, preserving email headers, body content (plain text and HTML), and attachments.

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

    email-conversion msg-to-eml outlook email-processing file-conversion
  • function merge_pdfs_v1

    Merges multiple PDF files into a single output PDF file with robust error handling and fallback mechanisms.

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

    pdf merge file-processing document-processing pdf-manipulation
  • function msg_to_pdf_improved

    Converts a Microsoft Outlook .msg file to PDF format using EML as an intermediate format for improved reliability, with fallback to direct conversion if needed.

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

    email-conversion msg-to-pdf file-conversion pdf-generation outlook
  • 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 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 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
  • 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

    authentication authorization user-management role-based-access-control neo4j
  • class DocxMerger

    A class named DocxMerger

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

    class docxmerger
  • 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
  • class DocumentExtractor

    A document text extraction class that supports multiple file formats including Word, PowerPoint, PDF, and plain text files, with automatic format detection and conversion capabilities.

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

    document-processing text-extraction pdf word powerpoint
  • 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
  • function generate_minutes

    Flask route handler that processes uploaded meeting transcripts and optional supporting documents to generate structured meeting minutes using AI, with configurable output styles and validation.

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

    flask web-api file-upload meeting-minutes ai-generation
  • function regenerate_minutes

    Flask route handler that regenerates meeting minutes from a previous session using modified instructions, model selection, and configuration parameters.

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

    flask meeting-minutes regeneration ai-generation openai
  • function handle_potential_truncation

    Detects and handles truncated meeting minutes by comparing agenda items to discussion sections, then attempts regeneration with enhanced instructions to ensure completeness.

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

    meeting-minutes truncation-handling text-processing regeneration quality-assurance
  • class PowerPointProcessor

    A class that processes PowerPoint (.pptx) presentations to extract text content and tables, converting tables to markdown format and organizing content by slides.

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

    powerpoint pptx document-processing text-extraction table-extraction
  • 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
  • class FileCloudClient

    A client class for interacting with FileCloud server API, providing authentication, file management, folder creation, and file upload capabilities.

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

    filecloud file-management cloud-storage api-client file-upload
  • 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
  • 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
  • function build_document_tree_lazy

    Builds a single-level document tree structure for lazy loading, scanning only immediate children of a target directory without recursively loading subdirectories.

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

    file-system directory-tree lazy-loading document-management file-browser
  • 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_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 view_document

    Flask route handler that serves documents for in-browser viewing by accepting a file path as a query parameter, validating security constraints, and returning the file with appropriate MIME types and CORS headers.

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

    flask file-serving document-viewer security path-validation

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