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Search Results for "organization"

Found 38 matching component(s)

  • 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 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 check_all_libraries

    Discovers and lists all document libraries in a SharePoint site using Microsoft Graph API, displaying their metadata and contents.

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

    sharepoint microsoft-graph document-libraries discovery audit
  • function explore_site_structure

    Explores and displays the complete structure of a SharePoint site using Microsoft Graph API, including drives, document libraries, lists, and alternative API endpoints.

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

    sharepoint microsoft-graph site-exploration diagnostic api-discovery
  • function analyze_structure

    Analyzes and reports on the folder structure of a SharePoint site, displaying folder paths, file counts, and searching for expected folder patterns.

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

    sharepoint analysis folder-structure microsoft-graph audit
  • function compare_with_expected_folders

    Compares SharePoint folders found via Microsoft Graph API against a predefined list of expected folder names from a reference screenshot, reporting matches, missing folders, and additional folders.

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

    sharepoint validation folder-comparison microsoft-graph testing
  • function get_instruction_templates

    Flask API endpoint that returns a dictionary of predefined instruction templates for different document types including SOPs, work instructions, quality forms, and document comparison guidelines.

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

    flask api endpoint templates instructions
  • class TextClusterer

    A class that clusters similar documents based on their embeddings using various clustering algorithms (K-means, Agglomerative, DBSCAN) and optionally generates summaries for each cluster.

    File: /tf/active/vicechatdev/chromadb-cleanup/src/clustering/text_clusterer.py

    clustering document-clustering embeddings machine-learning kmeans
  • function api_delete_section

    Flask API endpoint that deletes a specific section from a document after validating user authorization and document existence.

    File: /tf/active/vicechatdev/vice_ai/complex_app.py

    api rest delete section document-management
  • function process_markdown_content

    Parses markdown-formatted text content and converts it into a structured list of content elements with type annotations and formatting metadata suitable for document export.

    File: /tf/active/vicechatdev/vice_ai/complex_app.py

    markdown parser document-processing text-processing content-conversion
  • function create_text_section

    Flask API endpoint that creates a new text section with specified title, type, level, and content for an authenticated user.

    File: /tf/active/vicechatdev/vice_ai/new_app.py

    flask api-endpoint text-section document-management crud
  • function chat_with_text_section

    Flask API endpoint that enables AI-powered chat conversations about a specific text section, with support for multiple LLM models and document context.

    File: /tf/active/vicechatdev/vice_ai/new_app.py

    flask api-endpoint chat ai-assistant llm
  • class SectionType

    An enumeration class that defines the types of sections that can be added to documents, providing standardized section type identifiers.

    File: /tf/active/vicechatdev/vice_ai/models.py

    enum enumeration document section type-definition
  • class DocumentSection_v1

    A dataclass representing a reference to a section (TextSection or DataSection) within a document structure, supporting hierarchical organization and section type differentiation.

    File: /tf/active/vicechatdev/vice_ai/models.py

    dataclass document-structure reference serialization hierarchy
  • class Document

    A dataclass representing a document with hierarchical structure, versioning, metadata, and collaboration features.

    File: /tf/active/vicechatdev/vice_ai/models.py

    document-management dataclass versioning collaboration serialization
  • function generate_document_number

    Generates unique, sequential document numbers for a given document type and department using persistent counters stored in Neo4j database.

    File: /tf/active/vicechatdev/CDocs/settings_prod.py

    document-management numbering neo4j counter unique-identifier
  • function get_training_overview

    Retrieves a comprehensive training overview for the admin panel, including training plans, active assignments, and recent completions from a Neo4j graph database.

    File: /tf/active/vicechatdev/CDocs/controllers/training_controller.py

    training admin overview dashboard neo4j
  • function create_document_version_v3

    Creates a new version of a controlled document by generating version metadata, storing the file in FileCloud, updating the document's revision number, and creating an audit trail entry.

    File: /tf/active/vicechatdev/CDocs/controllers/document_controller.py

    document-management version-control file-storage filecloud neo4j
  • function process_document

    Processes a document file (DOCX, DOC, or PDF) and extracts comprehensive metadata including file information, content metadata, and cryptographic hash.

    File: /tf/active/vicechatdev/CDocs/utils/document_processor.py

    document-processing metadata-extraction file-handling pdf docx
  • class VendorEmailExtractor

    Extract vendor email addresses from all organizational mailboxes

    File: /tf/active/vicechatdev/find_email/vendor_email_extractor.py

    class vendoremailextractor
  • function test_mailbox_access

    Tests the ability to access and retrieve mailboxes from Microsoft Graph API through a VendorEmailExtractor instance, displaying results and troubleshooting information.

    File: /tf/active/vicechatdev/find_email/test_vendor_extractor.py

    testing microsoft-graph mailbox diagnostics permissions
  • function get_all_dbo_establishment

    Queries a Neo4j graph database to retrieve all nodes labeled as 'dbo_Establishment' with a configurable limit on the number of results returned.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database cypher-query database-query data-retrieval
  • class DatabaseSchema_v1

    A dataclass that represents database schema information, including table categories, relationships, and system architecture. Provides functionality to load schema from JSON files.

    File: /tf/active/vicechatdev/smartstat/sql_query_generator.py

    database schema metadata dataclass json
  • function get_overlay_spec

    Constructs a specification tuple for an Element within an Overlay by combining the element's type name, group, label, and key dimensions.

    File: /tf/active/vicechatdev/patches/util.py

    overlay specification element-identification data-structure tuple-construction
  • function layer_groups

    Groups elements from an ordering list into a dictionary based on a slice of each element's specification, using the first 'length' items as the grouping key.

    File: /tf/active/vicechatdev/patches/util.py

    grouping data-organization layer-management hierarchical-structure dictionary
  • function get_path

    Extracts and sanitizes a hierarchical path from a Labelled object or a tuple containing an existing path and a Labelled object, returning a tuple of capitalized, sanitized path components.

    File: /tf/active/vicechatdev/patches/util.py

    path-construction sanitization hierarchical-data labelled-objects string-processing
  • function find_best_match

    Finds the best matching document from a list of candidates by comparing hash, size, filename, and content similarity with configurable confidence thresholds.

    File: /tf/active/vicechatdev/mailsearch/enhanced_document_comparison.py

    document-matching fuzzy-matching file-comparison deduplication similarity-detection
  • function has_wuxi_coding

    Validates whether a filename starts with a Wuxi coding pattern consisting of dot-separated numeric segments (e.g., '2.13.4.1.2').

    File: /tf/active/vicechatdev/mailsearch/copy_signed_documents.py

    validation filename pattern-matching regex wuxi-coding
  • function find_best_folder

    Finds the best matching folder in a directory tree by comparing hierarchical document codes with folder names containing numeric codes.

    File: /tf/active/vicechatdev/mailsearch/copy_signed_documents.py

    file-organization directory-traversal hierarchical-matching code-matching folder-search
  • function main_v1

    Main execution function that processes and copies document files from an output directory to target folders based on document codes, with support for dry-run and test modes.

    File: /tf/active/vicechatdev/mailsearch/copy_signed_documents.py

    file-management document-processing batch-processing file-copying csv-processing
  • function extract_document_code

    Extracts a structured document code (e.g., '4.5.38.2') from a filename using regex pattern matching.

    File: /tf/active/vicechatdev/mailsearch/compare_documents.py

    document-management filename-parsing regex pattern-matching code-extraction
  • function scan_wuxi2_folder

    Recursively scans a wuxi2 folder for PDF documents, extracts document codes from filenames, and organizes them into a dictionary mapping codes to file information.

    File: /tf/active/vicechatdev/mailsearch/compare_documents.py

    file-scanning directory-traversal pdf-processing document-indexing code-extraction
  • class VirtualFolder

    VirtualFolder is a class representing a virtual folder in a file system hierarchy that doesn't correspond to a physical folder but exists for organizational purposes.

    File: /tf/active/vicechatdev/rmcl/items.py

    virtual-folder file-system folder-hierarchy organization data-structure
  • class CompactSection

    A dataclass representing a section in compact format with an icon, title, content, and priority level.

    File: /tf/active/vicechatdev/e-ink-llm/compact_formatter.py

    dataclass data-structure section compact-format ui-component
  • class MultiPageLLMHandler

    Handles LLM processing for multi-page documents with context awareness, automatically selecting optimal analysis strategies based on document size.

    File: /tf/active/vicechatdev/e-ink-llm/multi_page_llm_handler.py

    llm multi-page document-analysis context-aware async
  • function show_directory_tree

    Recursively displays a visual tree structure of a directory and its contents, showing files with sizes and subdirectories up to a specified depth.

    File: /tf/active/vicechatdev/e-ink-llm/cloudtest/test_complete_suite.py

    filesystem directory-tree visualization file-explorer recursive
  • class RemarkableNode

    A dataclass representing a node (file or folder) in the reMarkable cloud storage system, containing metadata, hierarchy information, and component hashes for documents.

    File: /tf/active/vicechatdev/e-ink-llm/cloudtest/discovery.py

    dataclass tree-structure hierarchy remarkable cloud-storage
  • function print_database_analysis

    Prints a comprehensive, formatted analysis of a reMarkable tablet replica database, including statistics, hierarchy information, file types, and a content tree visualization.

    File: /tf/active/vicechatdev/e-ink-llm/cloudtest/analyze_replica.py

    remarkable database-analysis reporting visualization console-output

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