Search - Code Extractor

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 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

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 OneCo_hybrid_RAG_v1

A class named OneCo_hybrid_RAG

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

class oneco_hybrid_rag

class ImprovedProjectVictoriaGenerator

Improved Project Victoria Disclosure Generator with proper reference management.

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

class improvedprojectvictoriagenerator

class OneCo_hybrid_RAG_v2

A class named OneCo_hybrid_RAG

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

class oneco_hybrid_rag

function test_chroma_collections

A diagnostic function that tests connectivity to ChromaDB instances across multiple connection methods and lists all available collections with their metadata.

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

chromadb database-testing diagnostics connection-testing vector-database

function main_v33

Entry point function that executes a comprehensive test suite for Chroma DB collections, including collection listing and creation tests, followed by troubleshooting suggestions.

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

testing debugging chroma-db database collections

class MyEmbeddingFunction

Custom embedding function class that integrates OpenAI's embedding API with Chroma DB for generating vector embeddings from text documents.

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

embeddings openai chroma vector-database nlp

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 check_configuration

A comprehensive configuration verification function that checks and displays the status of all DocChat system settings, including API keys, models, ChromaDB connection, directories, and LLM initialization.

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

configuration verification diagnostics setup validation

class DocChatEmbeddingFunction

A custom ChromaDB embedding function that generates OpenAI embeddings with automatic text summarization for documents exceeding token limits.

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

embeddings chromadb openai text-processing summarization

function main_v60

Command-line interface function that orchestrates the cleaning of ChromaDB collections by removing duplicates and similar documents, with options to skip collections and customize the cleaning process.

File: /tf/active/vicechatdev/chromadb-cleanup/main.py

cli command-line chromadb database-cleaning deduplication

function save_data_to_chromadb_v1

Saves a list of document dictionaries to a ChromaDB collection, with support for batch processing, embeddings, and metadata storage.

File: /tf/active/vicechatdev/chromadb-cleanup/main.py

chromadb vector-database document-storage embeddings batch-processing

class TestCombinedCleaner

A unittest test class that validates the functionality of the CombinedCleaner class, testing its ability to remove duplicate and similar texts from collections.

File: /tf/active/vicechatdev/chromadb-cleanup/tests/test_combined_cleaner.py

unittest testing text-cleaning deduplication similarity-detection

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 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 identify_duplicates

Identifies duplicate documents by computing hash values of their text content and grouping documents with identical hashes.

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

deduplication document-processing hashing data-cleaning duplicate-detection

class SimilarityCleaner

A document cleaning class that identifies and removes duplicate or highly similar documents based on embedding vector similarity, keeping only representative documents from each similarity group.

File: /tf/active/vicechatdev/chromadb-cleanup/src/cleaners/similarity_cleaner.py

document-processing deduplication similarity embeddings clustering

class BaseCleaner

Abstract base class that defines the interface for document cleaning implementations, providing methods to remove redundancy from document collections and track cleaning statistics.

File: /tf/active/vicechatdev/chromadb-cleanup/src/cleaners/base_cleaner.py

abstract-base-class document-processing data-cleaning redundancy-removal statistics

function api_send_chat_message

Flask API endpoint that handles sending a message in a chat session, processes it through a hybrid RAG engine with configurable search and memory settings, and returns an AI-generated response with references.

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

flask api chat rag hybrid-rag

function api_collections_v1

Flask API endpoint that retrieves and returns a list of available data collections from the chat engine instance.

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

flask api rest-endpoint collections rag

function init_chat_engine_v1

Initializes a global chat engine instance using OneCo_hybrid_RAG and validates its configuration by checking for required attributes like available_collections and data_handles.

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

initialization chat-engine RAG hybrid-rag setup

function process_chat_request_background

Process chat request in background thread

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

function process_chat_request_background

function chat_v1

Flask route handler that renders the main chat interface with available collections and instruction templates, requiring authentication.

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

flask web-route chat-interface authentication template-rendering

function api_chat_v1

Handle chat API requests with support for long-running tasks

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

function api_chat

function api_collections_v1

Flask API endpoint that retrieves and returns a list of available data collections from the chat engine instance.

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

flask api rest-endpoint collections rag

function test_collection_logic

A test function that validates collection processing logic, specifically testing how collections are handled when selected, deselected, or missing, with focus on data clearing behavior.

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

testing unit-test collection-management data-clearing validation

function api_send_chat_message_v1

Flask API endpoint that handles sending messages in a chat session, processes them through a RAG (Retrieval-Augmented Generation) engine with configurable LLM models, and returns AI-generated responses with references.

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

chat api rag llm conversational-ai

function api_collections

Flask API endpoint that retrieves and returns a list of available data collections from the RAG (Retrieval-Augmented Generation) engine.

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

api flask rest-api rag collections

class DataAnalysisService

Service class for managing data analysis operations within document sections, integrating with SmartStat components for statistical analysis, dataset processing, and visualization generation.

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

data-analysis statistical-analysis session-management dataset-processing visualization

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 ChatConfiguration

A dataclass that stores configuration settings for a chat interface integrated with a RAG (Retrieval-Augmented Generation) engine, managing search parameters, data sources, and model settings.

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

configuration dataclass RAG chat settings

class TextSection

A dataclass representing a text section entity with versioning, chat interface, data analysis capabilities, and metadata management.

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

dataclass document-management versioning content-management chat-interface

class AnalysisConfiguration

A dataclass that encapsulates configuration parameters for statistical analysis operations, including analysis type, variables, and statistical thresholds.

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

configuration statistical-analysis dataclass serialization analysis-parameters

function check_rag_config

Diagnostic function that inspects and reports configuration details of a hybrid RAG (Retrieval-Augmented Generation) engine module, including model settings and class attributes.

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

diagnostic introspection configuration RAG debugging

function clean_for_json_v8

Recursively traverses and converts a nested data structure (dicts, lists, numpy types, pandas NaN) into JSON-serializable Python primitives.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d1e252f5-950c-4ad7-b425-86b4b02c3c62/analysis_5.py

json serialization data-cleaning numpy pandas

function test_single_vendor

Tests vendor enrichment by querying a RAG (Retrieval-Augmented Generation) system to find official contact information (email and VAT number) for a specified vendor using document search and web search capabilities.

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

testing vendor-enrichment RAG information-retrieval contact-information

function isnumeric

Determines whether a given value can be converted to a numeric type (int or float), excluding strings and boolean types.