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Found 50 matching component(s)

  • function create_csv_report_improved

    Creates two CSV reports from warranty data: a summary report with key fields and a detailed report with all fields including full disclosures.

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

    csv report-generation file-io warranty data-export
  • function parse_references_section

    Parses a formatted references section string and extracts structured data including reference numbers, sources, and content previews using regular expressions.

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

    parsing text-processing references citations regex
  • function main_v9

    Orchestrates the conversion of an improved markdown file containing warranty disclosures into multiple tabular formats (CSV, Excel, Word) with timestamp-based file naming.

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

    file-conversion markdown-processing warranty-data csv-export excel-export
  • function create_csv_report

    Creates two CSV reports (summary and detailed) from warranty data, writing warranty information to files with different levels of detail.

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

    csv reporting data-export file-io warranty
  • function main_v16

    Converts a markdown file containing warranty disclosure data into multiple tabular formats (CSV, Excel, Word) with timestamped output files.

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

    markdown-conversion data-extraction report-generation csv-export excel-export
  • class OneCo_hybrid_RAG

    A class named OneCo_hybrid_RAG

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

    class oneco_hybrid_rag
  • class PatternBasedExtractor

    Extract flocks based on farm-level In-Ovo usage patterns.

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

    class patternbasedextractor
  • function main_v4

    Command-line interface function that orchestrates pattern-based extraction of poultry flock data, including data loading, pattern classification, geocoding, and export functionality.

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

    cli command-line-interface data-extraction poultry-data pattern-analysis
  • function quick_clean

    Cleans flock data by identifying and removing flocks that have treatment records with timing inconsistencies (treatments administered outside the flock's start/end date range).

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

    data-cleaning data-quality flock-management livestock poultry
  • 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_v4

    Process different document types for RAG context extraction

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

    class documentprocessor
  • function select_dataset

    Interactive command-line function that prompts users to select between original, cleaned, or comparison of flock datasets for analysis.

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

    user-interface dataset-selection interactive command-line data-loading
  • function load_analysis_data

    Loads CSV dataset(s) into pandas DataFrames based on dataset configuration, supporting both single dataset loading and comparison mode with two datasets.

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

    data-loading csv pandas file-io data-analysis
  • function create_data_quality_dashboard_v1

    Creates an interactive data quality dashboard for analyzing treatment timing issues in poultry flock management data by loading and processing CSV files containing timing anomalies.

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

    data-quality dashboard visualization poultry-management treatment-timing
  • function create_data_quality_dashboard

    Creates an interactive command-line dashboard for analyzing data quality issues in treatment timing data, specifically focusing on treatments administered outside of flock lifecycle dates.

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

    data-quality dashboard interactive menu-driven timing-analysis
  • 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 DocumentProcessor_v5

    Process different document types for RAG context extraction

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

    class documentprocessor
  • class ContractDataExtractor

    Extract structured data from legal contracts using LLM analysis

    File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

    class contractdataextractor
  • function parse_arguments_v1

    Parses command-line arguments for a legal contract extraction tool that processes documents from FileCloud storage.

    File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

    cli command-line argument-parsing argparse configuration
  • function main

    Main entry point function for a Legal Contract Data Extractor application that processes contracts from FileCloud, extracts data, and exports results to multiple formats (CSV, Excel, JSON).

    File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

    main-entry-point contract-extraction data-processing filecloud csv-export
  • function test_with_real_documents

    Tests a contract analyzer system by processing real documents from FileCloud, extracting contract information, and generating analysis reports with performance metrics.

    File: /tf/active/vicechatdev/contract_validity_analyzer/test_real_documents.py

    testing integration-test contract-analysis document-processing filecloud
  • class Config_v3

    Configuration manager class that loads, manages, and persists configuration settings for a contract validity analyzer application, supporting YAML files and environment variable overrides.

    File: /tf/active/vicechatdev/contract_validity_analyzer/config/config.py

    configuration config-management yaml environment-variables settings
  • class ContractAnalyzer

    Main class for analyzing contract validity from FileCloud documents.

    File: /tf/active/vicechatdev/contract_validity_analyzer/core/analyzer.py

    class contractanalyzer
  • 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_us_csv

    A unit test function that validates the smart_read_csv function's ability to correctly parse US-formatted CSV files with comma delimiters and point decimal separators.

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

    testing unit-test csv data-parsing us-format
  • 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
  • function main_v66

    Test runner function that executes a suite of regional format handling tests for CSV parsing, including European and US number formats with various delimiters.

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

    testing csv-parsing regional-formats test-runner data-validation
  • 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
  • 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 smart_read_csv

    Automatically detects CSV file delimiters (comma, semicolon, tab) and handles regional decimal formats (European comma vs US/UK point) to reliably parse CSV files from different locales.

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

    csv data-loading file-parsing delimiter-detection regional-formats
  • class SmartStatService

    Service for running SmartStat analysis sessions in Vice AI

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

    class smartstatservice
  • function upload_data_section_dataset

    Flask API endpoint that handles CSV file uploads for data section analysis, processes the file, extracts metadata, and stores it in the data section for persistence.

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

    file-upload csv-processing data-analysis authentication api-endpoint
  • function smartstat_workspace

    Flask route handler that opens a SmartStat statistical analysis workspace for a specific data section, managing session creation, data restoration, and access control.

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

    flask-route web-handler statistical-analysis session-management data-restoration
  • function smartstat_upload_data

    Flask route handler that uploads CSV or Excel data files to a SmartStat analysis session, with support for multi-sheet Excel files and session recovery.

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

    flask file-upload csv excel data-analysis
  • function smartstat_upload_files

    Flask API endpoint that handles multi-file uploads (CSV, Excel, PDF, Word, PowerPoint) to a SmartStat session, processing data files as datasets and documents as information sheets.

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

    file-upload multi-file csv-processing excel-processing pdf-extraction
  • function smartstat_run_analysis

    Flask API endpoint that initiates a SmartStat statistical analysis in a background thread, tracking progress and persisting results to a data section.

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

    flask api-endpoint background-processing statistical-analysis async
  • function smartstat_get_history

    Flask API endpoint that retrieves analysis history for a SmartStat session, with automatic session recovery from saved data if the session is not found in memory.

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

    flask api-endpoint session-management data-recovery authentication
  • function upload_analysis_dataset

    Flask API endpoint that handles file upload for data analysis sessions, accepting CSV and Excel files, validating user access, and processing the dataset through a data analysis service.

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

    flask file-upload data-analysis api-endpoint authentication
  • class Config

    Configuration class that manages application-wide settings, directory structures, API keys, and operational parameters for a statistical analysis application.

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

    configuration settings flask api-keys directory-management
  • 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
  • function create_test_dataset

    Creates a test CSV dataset with sample product sales data across different regions and months, saving it to a temporary file.

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

    testing test-data csv dataset-generation synthetic-data
  • function main_v24

    Orchestrates and executes a comprehensive test suite for the Vice AI Data Analysis Integration, running multiple test functions, creating test datasets, and providing detailed pass/fail reporting.

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

    testing integration-tests test-runner data-analysis test-orchestration
  • 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 StatisticalAgent

    LLM-powered statistical analysis agent

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

    class statisticalagent
  • function load_dataset

    Loads a CSV dataset from a specified file path using pandas and returns it as a DataFrame with error handling for file not found and general exceptions.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/e1ecec5f-4ea5-49c5-b4f5-d051ce851294/project_1/analysis.py

    data-loading csv pandas file-io error-handling
  • function main_v55

    Performs comprehensive exploratory data analysis on a broiler chicken performance dataset, analyzing the correlation between Eimeria infection and performance measures (weight gain, feed conversion ratio, mortality rate) across different treatments and challenge regimens.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/343f5578-64e0-4101-84bd-5824b3c15deb/project_1/analysis.py

    data-analysis exploratory-data-analysis veterinary-research poultry-health correlation-analysis
  • function load_data

    Loads a CSV dataset from a specified filepath using pandas, with fallback to creating sample data if the file is not found.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    data-loading csv pandas file-io error-handling

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