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Found 50 matching component(s)

  • function create_excel_report_improved

    Creates a multi-sheet Excel report from warranty data, including main report, summary view, complete data, references, and statistics sheets with auto-formatted columns.

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

    excel reporting data-export pandas multi-sheet
  • 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 RegulatoryExtractor

    A class for extracting structured metadata from regulatory guideline PDF documents using LLM-based analysis and storing the results in an Excel tracking spreadsheet.

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

    pdf-extraction regulatory-documents llm-extraction ocr data-extraction
  • function create_excel_report

    Creates a multi-sheet Excel report from warranty data, including main report, summary view, complete data, and statistics sheets with auto-formatted columns.

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

    excel reporting data-export pandas openpyxl
  • class SimpleDataHandle

    A data handler class that manages multiple data sources with different types (dataframes, vector stores, databases) and their associated processing configurations.

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

    data-management registry vector-store RAG dataframe
  • 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
  • class DocumentDetail

    Document detail view component

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

    class documentdetail
  • 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
  • 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 DocumentDetail_v1

    Document detail view component

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

    class documentdetail
  • 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
  • class OneCo_hybrid_RAG_v2

    A class named OneCo_hybrid_RAG

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

    class oneco_hybrid_rag
  • 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 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 test_excel_output

    A test function that validates Excel output generation for contract analysis results, ensuring new fields (third_party_emails, third_party_tax_ids) are properly formatted and persisted.

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

    testing unit-test excel data-validation contract-analysis
  • 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
  • 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 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
  • 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
  • function detect_table_boundaries

    Detects distinct tables within a pandas DataFrame by identifying empty rows as table boundaries and returns metadata about each detected table region.

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

    data-processing excel table-detection boundary-detection pandas
  • function extract_table_as_markdown

    Extracts a specified row range from a pandas DataFrame and converts it into a properly formatted markdown table with automatic header detection and data cleaning.

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

    markdown table-formatting data-conversion pandas dataframe
  • function extract_sheet_context

    Extracts comprehensive text context from Excel DataFrame sheets that contain mixed structured and unstructured content, converting them into markdown-formatted text while preserving table structures, key-value pairs, and section headers.

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

    excel-processing data-extraction markdown-generation text-parsing table-detection
  • function read_excel_file

    Reads Excel files and returns either metadata for all sheets or detailed data for a specific sheet, including format validation, European decimal conversion, and rich metadata extraction.

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

    excel data-loading pandas file-io validation
  • class SmartStatSession

    A session management class that encapsulates a SmartStat statistical analysis session, tracking data, analysis history, plots, and reports for a specific data section.

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

    session-management data-analysis statistics dataframe multi-dataset
  • class SmartStatService

    Service for running SmartStat analysis sessions in Vice AI

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

    class smartstatservice
  • class DocumentProcessor_v6

    Lightweight document processor for chat upload functionality

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

    class documentprocessor
  • 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_select_sheet

    Flask API endpoint that processes one or more Excel sheets from an uploaded file, validates them, categorizes them as datasets or information sheets, and adds them to a SmartStat analysis session.

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

    excel data-loading sheet-selection api-endpoint authentication
  • 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
  • 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
  • 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 remove_outliers_iqr

    Removes outliers from a pandas DataFrame column using the Interquartile Range (IQR) method with a conservative 3*IQR threshold.

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

    data-cleaning outlier-detection IQR interquartile-range data-preprocessing
  • function remove_outliers_iqr_v1

    Removes outliers from a pandas DataFrame column using the Interquartile Range (IQR) method with a 3×IQR threshold.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/42b81361-ba7e-4d79-9598-3090af68384b/project_1/analysis.py

    data-cleaning outlier-detection IQR interquartile-range statistics
  • function remove_outliers

    Removes outliers from a pandas DataFrame based on the Interquartile Range (IQR) method for a specified column.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/f5da873e-41e6-4f34-b3e4-f7443d4d213b/analysis_5.py

    data-cleaning outlier-detection IQR interquartile-range data-preprocessing
  • 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 create_sample_data_v2

    Generates a synthetic dataset of 200 poultry research records with multiple treatment groups, challenge regimens, and performance metrics for demonstration purposes.

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

    data-generation synthetic-data poultry-research veterinary coccidiosis
  • function explore_data

    Performs comprehensive exploratory data analysis on a pandas DataFrame, printing dataset overview, data types, missing values, descriptive statistics, and identifying categorical and numerical variables.

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

    data-exploration EDA exploratory-data-analysis data-profiling pandas

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