🔍 Code Extractor

Search Components

Full-Text: Fast keyword matching | Semantic: AI-powered understanding of intent (finds similar concepts)

Search Results for "parameters"

Found 50 matching component(s)

  • function get_bib

    Fetches BibTeX citation data for a given DOI (Digital Object Identifier) from the CrossRef API.

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

    bibliography citation bibtex doi crossref

  • function test_complex_url_hyperlink

    A test function that validates the creation of Word documents with complex FileCloud URLs containing special characters, query parameters, and URL fragments as clickable hyperlinks.

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

    testing word-document hyperlink docx url-handling

  • function test_markdown_link_parsing

    A test function that validates markdown link parsing capabilities, specifically testing extraction and URL encoding of complex URLs containing special characters from Quill editor format.

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

    testing markdown url-parsing regex url-encoding

  • class OneCo_hybrid_RAG

    A class named OneCo_hybrid_RAG

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

    class oneco_hybrid_rag

  • 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_download_url

    Retrieves a download URL for a controlled document, automatically selecting between editable (Word) and PDF formats based on document status or explicit request.

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

    document-management file-download url-generation version-control filecloud

  • 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

  • function get_document_edit_url

    Generates an online editing URL for a document stored in FileCloud, allowing users to edit documents that are in editable states.

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

    document-management filecloud url-generation permission-control version-control

  • 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

  • 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 DocumentDetail

    Document detail view component

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

    class documentdetail

  • function create_document_detail

    Factory function that creates and initializes a DocumentDetail panel component, optionally loading a specific document by its UID.

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

    ui panel document-management factory-function controlled-documents

  • 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

  • function controlled_docs_navigation

    Navigation controller for a Streamlit-based controlled documents module that manages document and review dashboards with URL parameter-based routing.

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

    streamlit navigation ui routing document-management

  • 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 init_connections

    Initializes and returns a Neo4j database session and driver connection using configuration settings.

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

    database neo4j graph-database connection initialization

  • function run_query_v1

    Executes a Cypher query against a Neo4j database session and returns the result, with optional parameterization for safe query execution.

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

    neo4j graph-database cypher query-execution database

  • function evaluate_query

    Executes a Cypher query against a Neo4j database session and returns the first value from a single result record.

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

    neo4j cypher database graph-database query-execution

  • 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 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

  • function main_v44

    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 OneCo_hybrid_RAG_v2

    A class named OneCo_hybrid_RAG

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

    class oneco_hybrid_rag

  • 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_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

  • 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 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

  • 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

  • class EnhancedMeetingMinutesGenerator

    A class named EnhancedMeetingMinutesGenerator

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

    class enhancedmeetingminutesgenerator

  • 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

  • function load_config_v1

    Parses a .env file and loads key-value pairs into a dictionary, ignoring comments and handling errors gracefully.

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

    configuration environment-variables file-parsing dotenv settings

  • function test_azure_token

    Tests Azure AD authentication by attempting to acquire an OAuth2 access token using client credentials flow for Microsoft Graph API access.

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

    azure authentication oauth2 access-token microsoft-graph

  • function test_sharepoint_token

    Tests SharePoint OAuth2 authentication by acquiring an access token using client credentials flow and validates it with a SharePoint API call.

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

    sharepoint oauth2 authentication azure-ad access-token

  • function main_v45

    Orchestrates a comprehensive SharePoint connection diagnostic tool that validates Azure AD authentication and SharePoint access by running multiple tests and reporting results.

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

    diagnostics sharepoint azure-ad authentication testing

  • 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 test_adjusted_topk

    A test function that validates the adjusted top_k calculation by testing multiple base values against the number of supported languages and logging the results.

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

    testing unit-test validation logging configuration

  • function basic_rag_example

    Demonstrates a basic RAG (Retrieval-Augmented Generation) workflow by initializing a DocChatRAG engine, executing a sample query about document topics, and displaying the response with metadata.

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

    rag retrieval-augmented-generation example demo document-chat

  • 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_get_system_config

    Flask API endpoint that retrieves current system configuration settings for admin users only, returning configuration values like system role, expertise, domain context, and supported languages.

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

    flask api admin configuration system-settings

  • function api_update_system_config

    Flask API endpoint that allows administrators to update system configuration settings including system role, expertise, domain context, custom instructions, output style, and query languages, with persistence to disk.

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

    admin configuration system-settings api-endpoint flask

  • 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 OpenAIResponsesLLM

    Adapter class for OpenAI's Responses API, specifically designed for GPT-5 family models with automatic fallback mechanisms to stable models when responses fail.

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

    openai llm gpt-5 responses-api adapter

  • class OpenAIChatLLM

    Adapter class for interacting with OpenAI's Chat Completions API, supporting both GPT-4 and GPT-5 model families with automatic parameter adjustment based on model type.

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

    openai llm chat-completion gpt-4 gpt-5

  • function get_llm_instance

    Factory function that creates and returns an appropriate LLM (Large Language Model) instance based on the specified model name, automatically detecting the provider (OpenAI, Azure OpenAI, or Anthropic) and configuring it with the given parameters.

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

    llm factory-pattern openai azure anthropic

Search Examples