Search - Code Extractor

class ReferenceManager

Manages document references for inline citation and bibliography generation in a RAG (Retrieval-Augmented Generation) system.

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

citation bibliography reference-management document-tracking RAG

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 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

class ProjectVictoriaDisclosureGenerator

Main class for generating Project Victoria disclosures from warranty claims.

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

class projectvictoriadisclosuregenerator

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 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 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 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 DocumentIndexer

A class for indexing documents into ChromaDB with support for multiple file formats (PDF, Word, PowerPoint, Excel, text files), smart incremental indexing, and document chunk management.

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

document-indexing vector-database chromadb embeddings pdf-processing

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

class AzureOpenAIChatLLM

Adapter class for interacting with Azure OpenAI's Chat Completions API, providing a simplified interface for generating chat responses using Azure-hosted OpenAI models.

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

azure openai chat llm api-adapter

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

class PerformanceLogger_v1

A context manager class that measures and logs the execution time of code blocks, with support for custom metrics and automatic error handling.

File: /tf/active/vicechatdev/contract_validity_analyzer/utils/logging_utils.py

performance logging context-manager timing metrics

class Watermarker

A class that adds watermark images to PDF documents with configurable opacity, scale, and positioning options.

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

pdf watermark document-processing image-processing pdf-manipulation

function main_v61

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 main_v52

Command-line interface function that orchestrates a ChromaDB collection cleaning pipeline by removing duplicate and similar documents through hashing and similarity screening.

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

cli command-line data-cleaning deduplication chromadb

class Config_v6

A dataclass that stores configuration settings for a ChromaDB cleanup process, including connection parameters, cleaning/clustering options, and summarization settings.

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

configuration dataclass chromadb settings cleanup

function calculate_similarity

Computes the cosine similarity between two embedding vectors, returning a normalized score between 0 and 1 that measures their directional alignment.

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

cosine-similarity vector-comparison embeddings similarity-metric machine-learning

function build_similarity_matrix

Computes a pairwise cosine similarity matrix for a collection of embedding vectors, where each cell (i,j) represents the similarity between embedding i and embedding j.

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

embeddings similarity cosine-similarity matrix nlp

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

class SummarizationModel

A Pydantic data model class that defines the configuration schema for a text summarization model, including model name, token limits, and temperature settings.

File: /tf/active/vicechatdev/chromadb-cleanup/src/summarization/models.py

pydantic data-model configuration validation summarization

class SummarizationConfig

A configuration wrapper class that manages settings for a text summarization model by encapsulating a SummarizationModel instance.

File: /tf/active/vicechatdev/chromadb-cleanup/src/summarization/models.py

configuration summarization model-config wrapper nlp

function test_european_csv

A test function that validates the ability to read and parse European-formatted CSV files (semicolon delimiters, comma decimal separators) and convert them to proper numeric types.

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

testing csv european-format data-parsing unit-test

function test_european_with_thousands

A unit test function that validates the smart_read_csv function's ability to correctly parse European-formatted CSV files with thousand separators (dots) and decimal commas.

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

testing unit-test csv-parsing european-format number-formatting

function test_us_with_thousands

A unit test function that validates the smart_read_csv function's ability to correctly parse US-formatted CSV files containing numbers with thousand separators (commas) and decimal points.

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

testing unit-test csv-parsing data-validation number-formatting

function test_tab_delimited_european

A unit test function that validates the smart_read_csv function's ability to correctly parse tab-delimited CSV files containing European-style decimal numbers (using commas instead of periods).

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

testing unit-test csv-parsing european-decimals tab-delimited

class AgentExecutor

Agent-based script executor that generates standalone Python files, manages dependencies, and provides iterative debugging capabilities

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

class agentexecutor

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 convert_european_decimals

Detects and converts numeric data with European decimal format (comma as decimal separator) to standard format (dot as decimal separator) in a pandas DataFrame, handling mixed formats and missing data patterns.

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

data-processing data-cleaning decimal-conversion european-format locale-handling

function validate_sheet_format

Analyzes Excel sheet structure using multiple heuristics to classify it as tabular data, information sheet, or mixed format, returning quality metrics and extraction recommendations.

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

data-validation excel-processing sheet-classification data-quality heuristic-analysis

class LLMClient_v1

Multi-LLM client that provides a unified interface for interacting with OpenAI GPT-4o, Azure OpenAI, Google Gemini, and Anthropic Claude models.

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

llm openai azure gemini claude

function clean_for_json_v1

Recursively traverses nested data structures (dicts, lists) and replaces NaN and Infinity float values with None to ensure JSON serialization compatibility.

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

json serialization data-cleaning nan-handling infinity-handling

function clean_nan_for_json

Recursively traverses nested data structures (dicts, lists) and converts NaN, null, and invalid numeric values to None for safe JSON serialization.

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

json-serialization data-cleaning nan-handling recursive data-preprocessing

class LegacySystemMigrator

Migrates data from a legacy file-based document system to a new database-backed architecture with TextSection-centric design, including document metadata, sections, chat configurations, and version history.

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

migration data-migration legacy-system database document-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 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 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

class StatisticalAgent

LLM-powered statistical analysis agent

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

class statisticalagent

function clean_for_json_v14

Recursively sanitizes Python objects to make them JSON-serializable by converting NumPy types to native Python types and handling NaN/Inf values.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/42b81361-ba7e-4d79-9598-3090af68384b/analysis_2.py

json serialization numpy data-conversion type-conversion

function clean_for_json_v4

Recursively traverses nested data structures (dicts, lists, arrays) and converts NaN and Inf float values to None for safe JSON serialization, while also converting NumPy types to native Python types.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/7372154d-807e-4723-a769-4668761944b5/analysis_2.py

json serialization data-cleaning numpy nan-handling

function clean_for_json_v11

Recursively sanitizes Python objects (dicts, lists, floats) to make them JSON-serializable by replacing NaN and infinity float values with None.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/f5da873e-41e6-4f34-b3e4-f7443d4d213b/analysis_4.py

json serialization data-cleaning nan-handling infinity-handling

function clean_for_json_v5

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

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/e4e8cb00-c17d-4282-aa80-5af67f32952f/analysis_1.py

data-cleaning json-serialization numpy data-preprocessing nan-handling

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_v9

Recursively sanitizes Python objects (dicts, lists, floats) to ensure they are JSON-serializable by converting NaN and infinity values to None and ensuring all dictionary keys are strings.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/c385e1f5-fbf6-4832-8fd4-78ef8b72fc53/project_2/analysis.py

json serialization data-cleaning sanitization 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_v13

Recursively sanitizes Python objects to make them JSON-serializable by converting NumPy types to native Python types and handling NaN/Inf values.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d48d7789-9627-4e96-9f48-f90b687cd07d/analysis_1.py

json serialization numpy data-cleaning type-conversion

function clean_for_json_v3

Recursively converts Python objects (including NumPy and Pandas types) into JSON-serializable formats by handling special numeric types, NaN/Inf values, and nested data structures.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/f0a78968-1d2b-4fbe-a0c6-a372da2ce2a4/project_1/analysis.py

json serialization data-conversion numpy pandas

function clean_for_json_v6

Recursively traverses nested data structures (dicts, lists) and sanitizes floating-point values by replacing NaN and Inf with None, while also converting NumPy numeric types to native Python types.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d1e252f5-950c-4ad7-b425-86b4b02c3c62/analysis_4.py

json serialization data-cleaning numpy nan-handling

function clean_for_json_v7

Recursively traverses and sanitizes data structures (dicts, lists, numpy types) to ensure JSON serialization compatibility by converting numpy types to native Python types and handling NaN/Inf values.

File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d1e252f5-950c-4ad7-b425-86b4b02c3c62/analysis_1.py

json serialization data-cleaning numpy pandas

Search Components

Search Results for "float"

class ReferenceManager

class pathobrowser_base

class ImprovedProjectVictoriaGenerator

class OneCo_hybrid_RAG_v2

class ProjectVictoriaDisclosureGenerator

class pathobrowser_base_v1

class FileCloudClient

class SharePointGraphClient

class DocChatRAG

class DocumentIndexer

class OpenAIChatLLM

class AzureOpenAIChatLLM

function get_llm_instance

class PerformanceLogger_v1

class Watermarker

function main_v61

function main_v52

class Config_v6

function calculate_similarity

function build_similarity_matrix

function find_similar_documents

class SummarizationModel

class SummarizationConfig

function test_european_csv

function test_european_with_thousands

function test_us_with_thousands

function test_tab_delimited_european

class AgentExecutor

class ScriptExecutor

function convert_european_decimals

function validate_sheet_format

class LLMClient_v1

function clean_for_json_v1

function clean_nan_for_json

class LegacySystemMigrator

class OneCo_hybrid_RAG_v3

class ChatConfiguration

class AnalysisConfiguration

class StatisticalAgent

function clean_for_json_v14

function clean_for_json_v4

function clean_for_json_v11

function clean_for_json_v5

function clean_for_json_v1

function clean_for_json_v9

function clean_for_json_v10

function clean_for_json_v13

function clean_for_json_v3

function clean_for_json_v6

function clean_for_json_v7

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