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Found 50 matching component(s)

  • 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 DocumentDetail

    Document detail view component

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

    class documentdetail

  • 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 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

  • 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 DocumentProcessor_v6

    Process different document types for RAG context extraction

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

    class documentprocessor

  • function test_multiple_file_upload

    A test function that validates multiple file upload functionality to a Flask application endpoint by sending a transcript file and multiple previous report files.

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

    testing file-upload integration-test flask multipart-form

  • function validate_azure_client_secret

    Validates an Azure client secret by checking for placeholder values, minimum length requirements, and common invalid patterns.

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

    validation azure authentication configuration security

  • 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 GPT5Validator

    A comprehensive testing and validation class for OpenAI GPT models, with special support for GPT-5 family models using the Responses API.

    File: /tf/active/vicechatdev/docchat/test_gpt5_readiness.py

    testing validation openai gpt-5 api-testing

  • function create_signature_image

    Generates a synthetic signature image for a given name, either as stylized text or as a random hand-drawn curve, and saves it as a PNG file with transparent background.

    File: /tf/active/vicechatdev/document_auditor/generate_sample_signatures.py

    image-generation signature PIL graphics document-generation

  • class DocumentProtector

    A class that handles protecting PDF documents from editing by applying encryption and permission restrictions using pikepdf and PyMuPDF libraries.

    File: /tf/active/vicechatdev/document_auditor/src/security/document_protection.py

    pdf security encryption document-protection permissions

  • function find_similar_documents

    Identifies pairs of similar documents by comparing their embeddings and returns those exceeding a specified similarity threshold, sorted by similarity score.

    File: /tf/active/vicechatdev/chromadb-cleanup/src/utils/similarity_utils.py

    document-similarity embedding-comparison duplicate-detection cosine-similarity nlp

  • function get_unique_documents

    Identifies and separates unique documents from duplicates in a list by comparing hash values of document text content.

    File: /tf/active/vicechatdev/chromadb-cleanup/src/utils/hash_utils.py

    deduplication document-processing data-cleaning hashing text-processing

  • class ScriptExecutor

    A sandboxed Python script executor that safely runs user-provided Python code with timeout controls, security restrictions, and isolated execution environments for data analysis tasks.

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

    sandbox script-execution security code-validation data-analysis

  • function get_document_v4

    Flask API endpoint that retrieves a specific document with its text and data sections, including optional sharing information, for authenticated users.

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

    api flask document-management rest-endpoint authentication

  • function export_document

    Flask route handler that exports a document in either DOCX or PDF format, verifying user ownership and document access before generating the export file.

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

    flask export document pdf docx

  • class DocumentService

    Service class for managing Document entities, including creation, retrieval, section management, versioning, and duplication operations.

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

    document-management service-layer crud-operations versioning section-management

  • class OneCo_hybrid_RAG_v3

    A class named OneCo_hybrid_RAG

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

    class oneco_hybrid_rag

  • class ExtensiveSearchManager_v1

    Manages extensive search functionality including full document retrieval, summarization, and enhanced context gathering.

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

    class extensivesearchmanager

  • class StatisticalAgent

    LLM-powered statistical analysis agent

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

    class statisticalagent

  • function clean_for_json_v1

    Recursively sanitizes nested data structures (dictionaries, lists, tuples) by converting NaN and Inf values to None and normalizing NumPy types to native Python types for JSON serialization.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/e4e8cb00-c17d-4282-aa80-5af67f32952f/project_1/analysis.py

    json serialization data-cleaning numpy nan-handling

  • function clean_for_json_v10

    Recursively converts Python objects containing NumPy and Pandas data types into JSON-serializable native Python types.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/c385e1f5-fbf6-4832-8fd4-78ef8b72fc53/project_1/analysis.py

    json serialization data-conversion numpy pandas

  • function clean_for_json_v12

    Recursively sanitizes Python objects to make them JSON-serializable by converting non-serializable types (NumPy types, pandas objects, tuples, NaN/Inf values) into JSON-compatible formats.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/290a39ea-3ae0-4301-8e2f-9d5c3bf80e6e/project_3/analysis.py

    json serialization data-cleaning numpy pandas

  • function clean_for_json

    Recursively traverses and sanitizes Python data structures (dicts, lists, tuples, numpy arrays) to ensure all values are JSON-serializable by converting numpy types, handling NaN/Inf values, and normalizing data types.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/f0b81d95-24d9-418a-8d9f-1b241684e64c/project_1/analysis.py

    json serialization data-cleaning numpy pandas

  • class ControlledDocumentApp

    Main application class for the Controlled Document Management System. This class initializes all components and provides the main Panel interface for the application. It is designed to be served via `panel serve` command and integrates with the existing datacapture application.

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

    class controlleddocumentapp

  • function validate_schema

    Validates that a Neo4j database schema contains all required constraints and node labels for a controlled document management system.

    File: /tf/active/vicechatdev/CDocs/db/schema_manager.py

    database validation schema neo4j graph-database

  • function validate_document

    Validates document files by checking file size, extension, and optionally performing type-specific structural validation for supported document formats.

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

    validation document-processing file-upload file-validation document-management

  • function check_document_hash_exists

    Checks if a document with a given SHA-256 hash already exists in the database by querying the graph database for matching DocumentVersion nodes.

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

    database graph-database neo4j document-management deduplication

  • class VersionComparisonService

    A service class that compares two versions of a document using LLM-based analysis, implementing smart segmentation and chunking for handling large documents efficiently.

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

    document-comparison version-control llm openai text-analysis

  • class TrainingManagement

    UI component for managing document training.

    File: /tf/active/vicechatdev/CDocs/ui/training_management.py

    class trainingmanagement

  • class DocumentDetail_v2

    Document detail view component

    File: /tf/active/vicechatdev/CDocs/ui/document_detail.py

    class documentdetail

  • class TrainingDashboard

    Training dashboard for users to view and complete training requirements.

    File: /tf/active/vicechatdev/CDocs/ui/training_dashboard.py

    class trainingdashboard

  • class AdminPanel

    Admin configuration interface component

    File: /tf/active/vicechatdev/CDocs/ui/admin_panel.py

    class adminpanel

  • class ScriptExecutor_v1

    A sandboxed Python script executor that safely runs user-provided Python code with timeout controls, security restrictions, and isolated execution environments for data analysis tasks.

    File: /tf/active/vicechatdev/full_smartstat/script_executor.py

    sandbox security script-execution code-execution timeout

  • class DataProcessor

    Handles data loading, validation, and preprocessing

    File: /tf/active/vicechatdev/full_smartstat/data_processor.py

    class dataprocessor

  • class SQLQueryGenerator

    Generates SQL queries based on user requests and database schema

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

    class sqlquerygenerator

  • class StatisticalAgent_v1

    LLM-powered statistical analysis agent

    File: /tf/active/vicechatdev/full_smartstat/statistical_agent.py

    class statisticalagent

  • function check_configuration_v1

    Validates the presence of a .env configuration file and checks that all required environment variables (TENANT_ID, CLIENT_ID, CLIENT_SECRET, FROM_EMAIL) are defined.

    File: /tf/active/vicechatdev/email-forwarder/run_service.py

    configuration validation environment-variables dotenv setup

  • class DataProcessor_v1

    Handles data loading, validation, and preprocessing

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

    class dataprocessor

  • class SQLQueryGenerator_v1

    Generates SQL queries based on user requests and database schema

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

    class sqlquerygenerator

  • class StatisticalAgent_v2

    LLM-powered statistical analysis agent

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

    class statisticalagent

  • class _state

    A global state management class that tracks and manages the state of running Panel applications, including server information, session data, busy status, and various application-level resources.

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

    state-management global-state session-management server-management caching

  • function create_static_handler

    Creates a Tornado route handler tuple for serving static files in a Bokeh/Panel web application, with special handling for root path routing.

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

    tornado bokeh static-files web-server routing

  • function process_ellipses

    Expands an Ellipsis (...) in a __getitem__ key by replacing it with the appropriate number of empty slices (slice(None)) to match the dimensions of an object.

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

    indexing ellipsis slicing multi-dimensional data-structures

  • function find_minmax

    Computes the minimum of the first elements and maximum of the second elements from two tuples of numeric values, handling NaN values gracefully.

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

    numeric-range min-max bounds-calculation nan-handling data-aggregation

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