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Found 50 matching component(s)

• function clean_text

  Cleans and normalizes text content by removing HTML tags, normalizing whitespace, and stripping markdown formatting elements.

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

  text-processing text-cleaning normalization html-removal markdown-removal

• function extract_warranty_data_improved

  Parses markdown-formatted warranty documentation to extract structured warranty data including IDs, titles, sections, disclosure text, and reference citations.

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

  markdown-parsing text-extraction warranty-processing document-parsing regex

• 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 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

• 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_v1

  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

• 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

  regulatory pdf-extraction ocr llm openai

• function extract_warranty_data

  Parses markdown-formatted warranty documentation to extract structured warranty information including IDs, titles, sections, source document counts, warranty text, and disclosure content.

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

  markdown-parsing data-extraction warranty-processing text-processing regex

• function main_v5

  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 file-processing csv

• 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

• class PatternBasedExtractor

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

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

  class patternbasedextractor

• function main

  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 data-extraction poultry 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 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

• 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 and comparison (two-dataset) modes.

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

  data-loading csv pandas dataframe comparison

• 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

• function show_critical_errors

  Displays critical data quality errors in treatment records, focusing on date anomalies including 1900 dates, extreme future dates, and extreme past dates relative to flock lifecycles.

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

  data-quality validation error-reporting date-validation data-analysis

• function analyze_flock_type_patterns

  Analyzes and prints timing pattern statistics for flock data by categorizing issues that occur before start time and after end time, grouped by flock type.

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

  data-analysis pandas timing-patterns flock-management aggregation

• function analyze_problematic_products

  Analyzes and prints statistical information about products involved in severe timing issues, including product frequency counts and their associated diagnostic classes.

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

  data-analysis healthcare medical-products timing-issues diagnostic-analysis

• function show_problematic_flocks

  Analyzes and displays problematic flocks from a dataset by identifying those with systematic timing issues in their treatment records, categorizing them by severity and volume.

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

  data-quality reporting diagnostics livestock-management data-validation

• function analyze_temporal_trends

  Analyzes and prints temporal trends in timing issues for treatments that occur before flock start dates or after flock end dates, breaking down occurrences by year and month.

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

  temporal-analysis data-quality time-series reporting data-validation

• function generate_action_report

  Generates a comprehensive corrective action report for data quality issues in treatment records, categorizing actions by urgency and providing impact assessment.

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

  data-quality reporting veterinary treatment-records data-validation

• function compare_datasets

  Analyzes and compares two pandas DataFrames containing flock data (original vs cleaned), printing detailed statistics about removed records, type distributions, and impact assessment.

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

  data-quality comparison analysis reporting statistics

• class QueryBasedExtractor

  A class that performs targeted information extraction from text using LLM-based query-guided extraction, with support for handling long documents through chunking and token management.

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

  information-extraction text-processing llm openai query-based

• class OneCo_hybrid_RAG_v2

  A class named OneCo_hybrid_RAG

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

  class oneco_hybrid_rag

• class ExtensiveSearchManager

  Manages extensive search functionality including full document retrieval, summarization, and enhanced context gathering.

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

  class extensivesearchmanager

• 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 report formats (JSON, HTML, Python snippets, Cypher examples).

  File: /tf/active/vicechatdev/neo4j_schema_report.py

  neo4j graph-database schema-analysis database-introspection documentation-generation

• class ProjectVictoriaDisclosureGenerator

  Main class for generating Project Victoria disclosures from warranty claims.

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

  class projectvictoriadisclosuregenerator

• function main_v14

  Entry point function that orchestrates the Project Victoria disclosure analysis by initializing the generator, running the complete analysis, and displaying results with next steps.

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

  entry-point main-function cli disclosure-analysis project-victoria

• 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 extract_previous_reports_summary

  Extracts and summarizes key information from previous meeting report files using document extraction and OpenAI's GPT-4o-mini model to provide context for upcoming meetings.

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

  meeting-analysis document-extraction text-summarization llm openai

• function test_attendee_extraction_comprehensive

  A comprehensive test function that validates the attendee extraction logic from meeting transcripts, comparing actual speakers versus mentioned names, and demonstrating integration with meeting minutes generation.

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

  testing attendee-extraction meeting-minutes transcript-parsing speaker-identification

• function parse_log_line

  Parses a structured log line string and extracts timestamp, logger name, log level, and message components into a dictionary.

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

  logging parsing regex text-processing log-analysis

• function analyze_logs

  Parses and analyzes log files to extract synchronization statistics, error counts, and performance metrics for a specified time period.

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

  log-analysis file-synchronization monitoring statistics parsing

• function main_v18

  Command-line interface entry point for monitoring SharePoint to FileCloud synchronization logs, providing status analysis, log tailing, and real-time watching capabilities.

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

  cli command-line-interface log-monitoring sharepoint filecloud

• class SyncDiagnostics

  A diagnostic class that analyzes and reports on synchronization issues between SharePoint and FileCloud, identifying missing files and root causes of sync failures.

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

  diagnostics sync-analysis sharepoint filecloud troubleshooting

• function main_v11

  Executes a diagnostic analysis for file synchronization issues, analyzes missing files, and saves the results to a JSON file.

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

  diagnostics file-synchronization sharepoint filecloud analysis

• function search_and_locate

  Searches for specific numbered folders (01-08) in a SharePoint site and traces their locations, contents, and file distributions by type.

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

  sharepoint microsoft-graph search diagnostic folder-discovery

• function dry_run_test

  Performs a dry run test of SharePoint to FileCloud synchronization, analyzing up to a specified number of documents without actually transferring files.

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

  dry-run testing sharepoint filecloud sync

• function check_site_vs_channels

  Diagnostic function that analyzes and compares SharePoint site structure, specifically examining the main site document library versus Teams channel document libraries to identify the correct library for synchronization.

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

  sharepoint diagnostic microsoft-graph document-library teams-channels

• function analyze_structure

  Analyzes and reports on the folder structure of a SharePoint site, displaying folder paths, file counts, and searching for expected folder patterns.

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

  sharepoint analysis folder-structure microsoft-graph audit

• function _get_protocol_attrs

  Extracts all non-private attribute names from a Protocol class by traversing its method resolution order (MRO), excluding special attributes and base Protocol/Generic classes.

  File: /tf/active/vicechatdev/SPFCsync/venv/lib64/python3.11/site-packages/typing_extensions.py

  protocol introspection typing reflection mro

• class InformationProtection

  A class that provides methods to interact with Microsoft Purview Information Protection services, specifically for creating threat assessment requests for email messages.

  File: /tf/active/vicechatdev/SPFCsync/venv/lib64/python3.11/site-packages/office365/directory/protection/information.py

  microsoft-graph security threat-assessment email-security information-protection

• class ThreatAssessmentRequest

  An abstract base class representing a threat assessment request item, inheriting from Entity. This class serves as a foundation for concrete threat assessment request implementations.

  File: /tf/active/vicechatdev/SPFCsync/venv/lib64/python3.11/site-packages/office365/directory/protection/threatassessment/request.py

  security threat-assessment office365 abstract-class entity

• class MailAssessmentRequest

  A class representing a mail threat assessment request that inherits from ThreatAssessmentRequest, used to create and retrieve mail-based security threat assessments in Microsoft 365.

  File: /tf/active/vicechatdev/SPFCsync/venv/lib64/python3.11/site-packages/office365/directory/protection/threatassessment/mail_request.py

  security threat-assessment email mail microsoft-365

• class IntelligenceProfile

  A class representing Microsoft Defender Threat Intelligence Profiles, providing access to threat actor infrastructure data and intelligence profiles for security operations teams.

  File: /tf/active/vicechatdev/SPFCsync/venv/lib64/python3.11/site-packages/office365/directory/security/threatintelligence/profile.py

  threat-intelligence security microsoft-defender threat-actor cybersecurity

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