Search - Code Extractor

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 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 OneCo_hybrid_RAG

A class named OneCo_hybrid_RAG

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

class oneco_hybrid_rag

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 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 DocumentProcessor_v4

Process different document types for RAG context extraction

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

class documentprocessor

class DocumentDetail_v1

Document detail view component

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

class documentdetail

class OneCo_hybrid_RAG_v2

A class named OneCo_hybrid_RAG

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

class oneco_hybrid_rag

function generate_html_from_msg

Converts an email message object into a formatted HTML representation with styling, headers, body content, and attachment information.

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

email html-generation email-parsing formatting msg-file

class Neo4jEncoder

A custom JSON encoder that extends json.JSONEncoder to handle Neo4j-specific data types and Python objects that are not natively JSON serializable.

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

json encoder serialization neo4j datetime

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 file formats (JSON, HTML, Python snippets, Cypher examples).

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

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

function generate_cypher_examples

Generates a comprehensive Cypher query examples file for interacting with a Neo4j graph database based on the provided schema information.

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

neo4j cypher graph-database code-generation documentation

function test_chroma_collections

A diagnostic function that tests connectivity to ChromaDB instances across multiple connection methods and lists all available collections with their metadata.

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

chromadb database-testing diagnostics connection-testing vector-database

class DocumentProcessor_v5

Process different document types for RAG context extraction

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

class documentprocessor

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

class EnhancedMeetingMinutesGenerator

A class named EnhancedMeetingMinutesGenerator

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

class enhancedmeetingminutesgenerator

function check_all_libraries

Discovers and lists all document libraries in a SharePoint site using Microsoft Graph API, displaying their metadata and contents.

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

sharepoint microsoft-graph document-libraries discovery audit

function explore_site_structure

Explores and displays the complete structure of a SharePoint site using Microsoft Graph API, including drives, document libraries, lists, and alternative API endpoints.

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

sharepoint microsoft-graph site-exploration diagnostic api-discovery

function explore_document_libraries

Retrieves and displays all document libraries from a SharePoint site using Microsoft Graph API, then explores items within each library.

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

sharepoint microsoft-graph document-libraries api-integration data-exploration

function explore_library_items

Retrieves and displays items from a SharePoint document library using Microsoft Graph API, showing the total count and details of up to 5 items.

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

sharepoint microsoft-graph document-library api rest

function explore_site_lists

Retrieves and displays all SharePoint lists from a specified site using Microsoft Graph API, printing their display names, IDs, template types, and web URLs.

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

sharepoint microsoft-graph api lists discovery

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 get_instruction_templates

Flask API endpoint that returns a dictionary of predefined instruction templates for different document types including SOPs, work instructions, quality forms, and document comparison guidelines.

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

flask api endpoint templates instructions

class DocChatRAG

Main RAG engine with three operating modes: 1. Basic RAG (similarity search) 2. Extensive (full document retrieval with preprocessing) 3. Full Reading (process all documents)

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

class docchatrag

class ContractAnalyzer

Main class for analyzing contract validity from FileCloud documents.

File: /tf/active/vicechatdev/contract_validity_analyzer/core/analyzer.py

class contractanalyzer

class TextClusterer

A class that clusters similar documents based on their embeddings using various clustering algorithms (K-means, Agglomerative, DBSCAN) and optionally generates summaries for each cluster.

File: /tf/active/vicechatdev/chromadb-cleanup/src/clustering/text_clusterer.py

clustering document-clustering embeddings machine-learning kmeans

function identify_duplicates

Identifies duplicate documents by computing hash values of their text content and grouping documents with identical hashes.

File: /tf/active/vicechatdev/chromadb-cleanup/src/utils/hash_utils.py

deduplication document-processing hashing data-cleaning duplicate-detection

function process_markdown_content

Parses markdown-formatted text content and converts it into a structured list of content elements with type annotations and formatting metadata suitable for document export.

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

markdown parser document-processing text-processing content-conversion

function add_formatted_content_to_word_v1

Converts processed markdown elements into formatted content within a Microsoft Word document, handling headers, paragraphs, lists, tables, and code blocks with appropriate styling.

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

markdown-conversion word-document document-generation formatting docx

function add_formatted_content_to_pdf

Processes markdown elements and adds them to a PDF document story with appropriate formatting, handling headers, paragraphs, lists, and tables.

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

pdf-generation reportlab markdown-to-pdf document-formatting content-rendering

function basic_markdown_to_html

Converts basic Markdown syntax to HTML without using external Markdown libraries, handling headers, lists, code blocks, and inline formatting.

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

markdown html conversion text-processing formatting

function html_to_markdown

Converts HTML text back to Markdown format using regex-based pattern matching and replacement, handling headers, code blocks, formatting, links, lists, and HTML entities.

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

html markdown conversion text-processing regex

function test_markdown_processing

A test function that validates markdown processing capabilities by testing content parsing, element extraction, and HTML conversion functionality.

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

testing markdown html-conversion text-processing unit-test

function clean_for_json_v1

Recursively traverses nested data structures (dicts, lists) and replaces NaN and Infinity float values with None to ensure JSON serialization compatibility.