Search - Code Extractor

function check_fixes

A diagnostic function that prints a comprehensive summary report of email notification fixes implemented in a CDocs system, verifying template files and documenting debugging enhancements.

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

diagnostic verification email-templates debugging documentation

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 main_v14

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 test_fixes

A comprehensive test function that validates email template rendering and CDocs application link presence in a document management system's email notification templates.

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

testing email-templates template-rendering validation document-management

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 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 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 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

function main_v25

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

function create_enhanced_word_document_v1

Converts markdown content into a formatted Microsoft Word document with proper styling, table of contents, warranty sections, and reference handling for Project Victoria warranty disclosures.

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

document-generation word-processing markdown-conversion docx formatting

class MyEmbeddingFunction_v1

A custom embedding function class that generates embeddings for documents using OpenAI's API, with built-in text summarization for long documents and token management.

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

embeddings openai chromadb vector-database text-summarization

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 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

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

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 MeetingMinutesGenerator

A class that generates professional meeting minutes from meeting transcripts using OpenAI's GPT-4o model, with capabilities to parse metadata, extract action items, and format output.

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

meeting-minutes transcript-processing openai gpt-4o natural-language-processing

class MyEmbeddingFunction_v2

A custom embedding function class that generates embeddings for text documents using OpenAI's embedding models, with automatic text summarization and token management for large documents.

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

embeddings openai chromadb text-processing summarization

class DocumentProcessor_v5

Process different document types for RAG context extraction

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

class documentprocessor

class ImprovedProjectVictoriaGenerator

Improved Project Victoria Disclosure Generator with proper reference management.

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

class improvedprojectvictoriagenerator

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

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

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

class ProjectVictoriaDisclosureGenerator

Main class for generating Project Victoria disclosures from warranty claims.

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

class projectvictoriadisclosuregenerator

class MyEmbeddingFunction_v3

A custom embedding function class that generates embeddings for text documents using OpenAI's embedding models, with automatic text summarization and token limit handling for large documents.

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

embeddings openai vector-database chromadb text-processing

class DocumentProcessor_v6

Process different document types for RAG context extraction

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

class documentprocessor

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_mixed_previous_reports

A test function that validates the DocumentExtractor's ability to extract text content from multiple file formats (TXT and Markdown) and combine them into a unified previous reports summary.

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

testing document-extraction file-processing integration-test text-extraction

function test_document_extractor

A test function that validates the DocumentExtractor class by testing file type support detection, text extraction from various document formats, and error handling.

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

testing document-extraction file-processing validation text-extraction

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 generate_minutes

Flask route handler that processes uploaded meeting transcripts and optional supporting documents to generate structured meeting minutes using AI, with configurable output styles and validation.

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

flask web-api file-upload meeting-minutes ai-generation

function regenerate_minutes

Flask route handler that regenerates meeting minutes from a previous session using modified instructions, model selection, and configuration parameters.

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

flask meeting-minutes regeneration ai-generation openai

function handle_potential_truncation

Detects and handles truncated meeting minutes by comparing agenda items to discussion sections, then attempts regeneration with enhanced instructions to ensure completeness.

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

meeting-minutes truncation-handling text-processing regeneration quality-assurance

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

class EnhancedMeetingMinutesGenerator

A class named EnhancedMeetingMinutesGenerator

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

class enhancedmeetingminutesgenerator

function main_v3

Command-line interface function that orchestrates the generation of enhanced meeting minutes from transcript files and PowerPoint presentations using various LLM models (GPT-4o, Azure GPT-4o, or Gemini).

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

cli command-line meeting-minutes llm gpt-4

function print_status

Prints a formatted status report for SharePoint to FileCloud synchronization operations, displaying sync statistics, timing information, and health indicators.

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

reporting monitoring status console-output sync

function test_upload_modalities

Integration test function that validates FileCloud upload functionality by testing both new file creation and existing file update scenarios.

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

testing integration-test file-upload filecloud cloud-storage

function explore_drive_root

Retrieves and displays the contents of a SharePoint drive's root directory, showing folders and files with their counts and names.

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

sharepoint microsoft-graph api drive-exploration file-system

function main_v51

A diagnostic function that explores SharePoint site structure to investigate why only 2 folders are visible when more are expected in the web interface.

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

diagnostic sharepoint debugging folder-exploration configuration-validation

function test_sharepoint_listing

Tests the SharePoint document listing functionality by connecting to a SharePoint site and retrieving all documents from a specified path.

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

testing sharepoint integration-test document-listing azure

function main_v87

Entry point function that runs a SharePoint permission diagnostic tool, testing different authentication scopes and providing troubleshooting guidance.

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

sharepoint diagnostic authentication troubleshooting app-only-tokens

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 test_folder_structure

Tests SharePoint folder structure by listing root-level folders, displaying their contents, and providing a summary of total folders and documents.

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

sharepoint testing folder-structure document-management microsoft-graph

function extensive_mode_example

Demonstrates the usage of DocChatRAG's extensive mode for detailed document analysis with a sample query about methodologies.

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

example demo RAG retrieval-augmented-generation extensive-mode

class QueryBasedExtractor

A class that extracts relevant information from documents using a small LLM (Language Model), designed for Extensive and Full Reading modes in RAG systems.

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

information-extraction document-processing llm rag query-based

Search Components

Search Results for "summary"

function check_fixes

function extract_warranty_data_improved

function create_csv_report_improved

function create_excel_report_improved

function main_v14

function test_fixes

class RegulatoryExtractor

function extract_warranty_data

function create_csv_report

function create_excel_report

function main_v25

function create_enhanced_word_document_v1

class MyEmbeddingFunction_v1

class SimpleDataHandle

class OneCo_hybrid_RAG

class ReferenceManager

class FixedProjectVictoriaGenerator

class PatternBasedExtractor

class pathobrowser_base

class OneCo_hybrid_RAG_v1

class MeetingMinutesGenerator

class MyEmbeddingFunction_v2

class DocumentProcessor_v5

class ImprovedProjectVictoriaGenerator

class MeetingMinutesGenerator_v1

class OneCo_hybrid_RAG_v2

class ExtensiveSearchManager

class ProjectVictoriaDisclosureGenerator

class MyEmbeddingFunction_v3

class DocumentProcessor_v6

class pathobrowser_base_v1

function test_mixed_previous_reports

function test_document_extractor

function extract_previous_reports_summary

function generate_minutes

function regenerate_minutes

function handle_potential_truncation

function test_attendee_extraction_comprehensive

class EnhancedMeetingMinutesGenerator

function main_v3

function print_status

function test_upload_modalities

function explore_drive_root

function main_v51

function test_sharepoint_listing

function main_v87

function dry_run_test

function test_folder_structure

function extensive_mode_example

class QueryBasedExtractor

Search Examples