Search - Code Extractor

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 create_word_report_improved

Generates a formatted Microsoft Word document report containing warranty disclosures with table of contents, structured sections, and references.

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

document-generation word-processing report-generation docx warranty-management

function main_v10

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 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 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 create_word_report

Generates a formatted Microsoft Word document report containing warranty disclosures with a table of contents, metadata, and structured sections for each warranty.

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

document-generation word-document docx report-generation warranty

function create_enhanced_word_document

Converts markdown-formatted warranty disclosure content into a formatted Microsoft Word document with hierarchical headings, styled text, lists, and special formatting for block references.

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

document-generation markdown-to-word docx warranty-processing legal-documents

function extract_total_references

Extracts the total count of references from markdown-formatted content by first checking for a header line with the total, then falling back to manually counting reference entries.

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

markdown parsing text-processing references bibliography

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 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

Updates properties of a controlled document including title, description, status, owner, and metadata, with special handling for status transitions that require format conversions or publishing workflows.

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

document-management update controlled-document status-transition audit-trail

function get_documents_v1

Retrieves filtered and paginated documents from a Neo4j graph database with permission-based access control, supporting multiple filter criteria and search functionality.

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

document-management neo4j graph-database filtering pagination

class FileCloudAPI

Python wrapper for the FileCloud REST API. This class provides methods to interact with FileCloud server APIs, handling authentication, session management, and various file operations.

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

class filecloudapi

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

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 FileCloudAPI_v1

Python wrapper for the FileCloud REST API. This class provides methods to interact with FileCloud server APIs, handling authentication, session management, and various file operations.

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

class filecloudapi

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 DocumentConverter

A class that converts various document formats (Word, Excel, PowerPoint, OpenDocument, Visio) to PDF using LibreOffice's headless conversion capabilities, with support for parallel processing and directory structure preservation.

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

document-conversion pdf libreoffice batch-processing parallel-processing

class DocumentDetail_v1

Document detail view component

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

class documentdetail

class ImprovedProjectVictoriaGenerator

Improved Project Victoria Disclosure Generator with proper reference management.

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

class improvedprojectvictoriagenerator

function select_dataset

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