🔍 Code Extractor

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• class ExtensiveSearchManager

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

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py | Lines: 4144-5376

  class extensivesearchmanager

• class OneCo_hybrid_RAG_v2

  A class named OneCo_hybrid_RAG

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py | Lines: 1170-4142

  class oneco_hybrid_rag

• 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 | Lines: 289-967

  class referencemanager

• 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 | Lines: 76-287

  information-extraction text-processing llm openai query-based

• function main_v5

  Command-line interface function that orchestrates the generation of meeting minutes from a transcript file using either GPT-4o or Gemini LLM models.

  File: /tf/active/vicechatdev/advanced_meeting_minutes_generator.py | Lines: 257-322

  cli command-line meeting-minutes transcript-processing llm

• function main_v11

  Entry point function that instantiates an ImprovedProjectVictoriaGenerator and executes its complete pipeline to generate disclosure documents.

  File: /tf/active/vicechatdev/improved_project_victoria_generator.py | Lines: 789-793

  entry-point main-function disclosure-generation RAG document-generation

• function main_v10

  Entry point function that instantiates a FixedProjectVictoriaGenerator and executes its complete pipeline to generate fixed disclosure documents.

  File: /tf/active/vicechatdev/fixed_project_victoria_generator.py | Lines: 1624-1628

  entry-point pipeline disclosure-generation orchestration main-function

• function main_v9

  Entry point function for a FileCloud ACL management test script that parses command-line arguments and initiates ACL testing.

  File: /tf/active/vicechatdev/test_acl_functions.py | Lines: 127-137

  cli command-line testing filecloud acl

• function main_v8

  Entry point function that orchestrates the process of loading a meeting transcript, generating structured meeting minutes using OpenAI's GPT-4o API, and saving the output to a file.

  File: /tf/active/vicechatdev/meeting_minutes_generator.py | Lines: 139-173

  main-function entry-point meeting-minutes transcript-processing openai

• function main_v7

  A test function that validates email template rendering by testing multiple HTML email templates with sample data structures for document review and approval workflows.

  File: /tf/active/vicechatdev/test_comprehensive_templates.py | Lines: 45-113

  testing email-templates validation document-management template-rendering

• function main_v6

  Main entry point function that reads a markdown file, converts it to an enhanced Word document with preserved heading structure, and saves it with a timestamped filename.

  File: /tf/active/vicechatdev/improved_word_converter.py | Lines: 187-215

  document-conversion markdown-to-word file-processing docx main-entry-point

• class MeetingMinutesGenerator_v1

  A class that generates professional meeting minutes from meeting transcripts using either OpenAI's GPT-4o or Google's Gemini AI models.

  File: /tf/active/vicechatdev/advanced_meeting_minutes_generator.py | Lines: 38-255

  meeting-minutes transcript-processing llm gpt-4o gemini

• function test_acl_functions

  Comprehensive test function that validates ACL (Access Control List) management operations in FileCloudAPI, including creating, reading, updating, and deleting ACL entries for users and groups.

  File: /tf/active/vicechatdev/test_acl_functions.py | Lines: 25-125

  testing acl access-control permissions filecloud

• function print_json

  A utility function that prints a Python dictionary as formatted JSON with 2-space indentation to standard output.

  File: /tf/active/vicechatdev/test_acl_functions.py | Lines: 21-23

  json formatting printing output debugging

• 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 | Lines: 375-435

  data-quality comparison analysis reporting statistics

• 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 | Lines: 323-373

  data-quality reporting veterinary treatment-records 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 | Lines: 297-321

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

• 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 | Lines: 267-295

  data-quality reporting diagnostics livestock-management data-validation

• 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 | Lines: 247-265

  data-analysis healthcare medical-products timing-issues diagnostic-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 | Lines: 225-245

  data-analysis pandas timing-patterns flock-management aggregation