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

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_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_warranty_sections

Parses markdown content to extract warranty section headers, returning a list of dictionaries containing section IDs and titles for table of contents generation.

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

markdown-parsing text-processing warranty-documents table-of-contents document-structure

class FixedProjectVictoriaGenerator

Fixed Project Victoria Disclosure Generator that properly handles all warranty sections.

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

class fixedprojectvictoriagenerator

function test_reference_system_completeness

A diagnostic test function that prints a comprehensive overview of a reference system's architecture, including backend storage, API endpoints, reference types, and content flow verification.

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

testing documentation diagnostic reference-system api-endpoints

class ImprovedProjectVictoriaGenerator

Improved Project Victoria Disclosure Generator with proper reference management.

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

class improvedprojectvictoriagenerator

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

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_v42

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

main-entry-point cli disclosure-analysis legal-documentation project-victoria

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 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 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

class EnhancedMeetingMinutesGenerator

A class named EnhancedMeetingMinutesGenerator

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

class enhancedmeetingminutesgenerator

function provide_admin_instructions

Displays comprehensive administrative instructions for fixing SharePoint app-only authentication issues by loading configuration and presenting multiple resolution options.

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

sharepoint admin-instructions troubleshooting authentication app-only-auth

function compare_with_expected_folders

Compares SharePoint folders found via Microsoft Graph API against a predefined list of expected folder names from a reference screenshot, reporting matches, missing folders, and additional folders.

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

sharepoint validation folder-comparison microsoft-graph testing

function basic_rag_example

Demonstrates a basic RAG (Retrieval-Augmented Generation) workflow by initializing a DocChatRAG engine, executing a sample query about document topics, and displaying the response with metadata.

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

rag retrieval-augmented-generation example demo document-chat

function user_guide

Flask route handler that renders and displays the user guide page for the application.

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

flask web-route template-rendering user-guide documentation

function user_guide_v1

Flask route handler that renders the user guide page for the document chat application.

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

flask route-handler view-function authentication user-guide

function print_help

Displays help information for Vice AI Development Tools, listing available commands and usage examples.

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

help documentation cli command-line user-interface

function markdown_to_html

Converts Markdown formatted text to HTML using the python-markdown library with multiple extensions, falling back to basic conversion if the library is unavailable.

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

markdown html conversion text-processing formatting

function validate_sheet_format

Analyzes Excel sheet structure using multiple heuristics to classify it as tabular data, information sheet, or mixed format, returning quality metrics and extraction recommendations.

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

data-validation excel-processing sheet-classification data-quality heuristic-analysis

function extract_table_as_markdown

Extracts a specified row range from a pandas DataFrame and converts it into a properly formatted markdown table with automatic header detection and data cleaning.

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

markdown table-formatting data-conversion pandas dataframe

function extract_sheet_context

Extracts comprehensive text context from Excel DataFrame sheets that contain mixed structured and unstructured content, converting them into markdown-formatted text while preserving table structures, key-value pairs, and section headers.

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

excel-processing data-extraction markdown-generation text-parsing table-detection

function get_node_labels

Retrieves all non-private attributes from the NodeLabels class as a dictionary, filtering out attributes that start with underscore.

File: /tf/active/vicechatdev/CDocs/db/schema_manager.py

graph-database neo4j constants metadata node-labels

function get_relationship_types

Retrieves a dictionary of relationship type constants from the RelTypes class, filtering out private attributes that start with underscore.

File: /tf/active/vicechatdev/CDocs/db/schema_manager.py

introspection reflection constants relationship-types graph-database

function log_training_event

A wrapper function that logs training-related events by delegating to a generic log_event function with pre-configured resource type.

File: /tf/active/vicechatdev/CDocs/utils/audit_trail.py

logging audit-trail training events documentation

class DatabaseInfo

A dataclass that encapsulates complete database schema information including tables, columns, relationships, and metadata for a specific database instance.

File: /tf/active/vicechatdev/full_smartstat/dynamic_schema_discovery.py

database schema metadata dataclass serialization

class ManualRelationshipManager

A class that manages manually defined database relationships with persistent JSON storage, allowing users to add, retrieve, update, and remove relationship definitions between database tables.

File: /tf/active/vicechatdev/full_smartstat/manual_relationships.py

database relationships persistence json-storage data-management

class DatabaseSchema

A dataclass that represents comprehensive database schema information, including table structures, columns, relationships, and categorizations for SQL database introspection and query generation.

File: /tf/active/vicechatdev/full_smartstat/sql_query_generator.py

database schema metadata introspection SQL

function main_v106

Demonstrates a SmartStat SQL workflow by loading a database schema, initializing a SQL query generator, and generating SQL queries from natural language requests with detailed output and metadata.

File: /tf/active/vicechatdev/full_smartstat/demo_sql_workflow.py

demonstration workflow sql-generation natural-language-processing database-schema

class DatabaseSchema_v1

A dataclass that represents database schema information, including table categories, relationships, and system architecture. Provides functionality to load schema from JSON files.

File: /tf/active/vicechatdev/smartstat/sql_query_generator.py

database schema metadata dataclass json

function argspec

Extracts and normalizes function argument specifications from various callable types, removing implicit 'self' or 'cls' parameters from methods.

File: /tf/active/vicechatdev/patches/util.py

introspection reflection function-analysis argument-specification callable

class Delivery_documents

A class that generates delivery documentation (slip and label) as Word documents by querying a Neo4j database for study and customer information and populating predefined templates.

File: /tf/active/vicechatdev/resources/documents.py

document-generation neo4j database word-documents delivery

class Zebra_Label

Used to build a ZPL2 label and send a print commandline to a specified printer on a specified server. Notes ----- all dimensions are given in millimeters and automatically converted to printer dot units. Parameters ---------- height : int height of the label in mm. width : int width of the label in mm. dpmm : int dots per millimeter, 8.0 for 203 dpi, 12 for 300 dpi. server : str The server on which to print. queue : str The printer to print on. Attributes ---------- height : int height of the label in mm. width : int width of the label in mm. dpmm : int dots per millimeter, 8.0 for 203 dpi, 12 for 300 dpi. server : str The server on which to print. queue : str The printer to print on. code : str ZPL code string, each function adds to this and this is what is eventually send to the printer. graph : py2neo.Graph The connection to the database

File: /tf/active/vicechatdev/resources/printers.py

class zebra_label

function create_instruction_diagram

Generates a sample instructional diagram image showing step-by-step coffee making instructions with text, lines, shapes, and an arrow pointing to a coffee maker illustration.

File: /tf/active/vicechatdev/e-ink-llm/demo.py

image-generation PIL Pillow diagram instructions

class ConversationTimelineGenerator

A class that generates comprehensive PDF reports documenting conversation timelines, including detailed exchanges, problem-solving analysis, references, and visual summaries.

File: /tf/active/vicechatdev/e-ink-llm/conversation_timeline.py

pdf-generation reporting conversation-analysis timeline documentation

function test_compact_formatter

A test function that demonstrates the CompactResponseFormatter's ability to compress verbose LLM responses by converting a lengthy mathematical explanation into a more compact format.

File: /tf/active/vicechatdev/e-ink-llm/test_improvements.py

testing unit-test formatter compression text-processing

function demo_improvement_comparison

A demonstration function that displays a before-and-after comparison of response formatting improvements, showing the evolution from verbose to compact, symbol-rich formatting optimized for e-ink displays.

File: /tf/active/vicechatdev/e-ink-llm/test_improvements.py

demonstration comparison formatting e-ink console-output

function test_auto_continuation_workflow

Comprehensive test function that validates the auto-continuation workflow for multi-turn conversations, including session detection from PDFs, conversation context preservation, and automatic conversation switching.

File: /tf/active/vicechatdev/e-ink-llm/test_auto_continuation.py

testing async workflow session-management conversation-continuation

class ConversationContextManager

Advanced conversation context manager that analyzes conversation history, extracts topics, builds reference maps, and generates contextual intelligence for multi-turn conversations.

File: /tf/active/vicechatdev/e-ink-llm/conversation_context.py

conversation-management context-analysis topic-extraction reference-tracking conversation-intelligence

function print_usage

Displays formatted usage instructions for the reMarkable PDF Upload Tool command-line interface, showing syntax, arguments, and examples.

File: /tf/active/vicechatdev/e-ink-llm/cloudtest/upload_pdf_new.py

cli help documentation usage command-line

function analyze_rm_filename_patterns

Analyzes and documents the rm-filename header patterns used in reMarkable cloud sync API requests by examining raw log data and printing a comprehensive report of file naming conventions, upload sequences, and implementation requirements.

File: /tf/active/vicechatdev/e-ink-llm/cloudtest/analyze_headers.py

remarkable cloud-sync api-analysis file-patterns documentation

function generate_header_examples

Prints formatted examples of HTTP headers required for different types of file uploads to a reMarkable cloud sync service, including PDFs, metadata, content, and schema files.

File: /tf/active/vicechatdev/e-ink-llm/cloudtest/analyze_headers.py

documentation http-headers remarkable cloud-sync upload

Search Components

Search Results for "documentation"

function check_fixes

function extract_warranty_data_improved

class RegulatoryExtractor

function extract_warranty_data

function create_enhanced_word_document

function extract_warranty_sections

class FixedProjectVictoriaGenerator

function test_reference_system_completeness

class ImprovedProjectVictoriaGenerator

function generate_neo4j_schema_report

function generate_cypher_examples

class ProjectVictoriaDisclosureGenerator

function main_v42

function test_mixed_previous_reports

function generate_minutes

function handle_potential_truncation

class EnhancedMeetingMinutesGenerator

function provide_admin_instructions

function compare_with_expected_folders

function basic_rag_example

function user_guide

function user_guide_v1

function print_help

function markdown_to_html

function validate_sheet_format

function extract_table_as_markdown

function extract_sheet_context

function get_node_labels

function get_relationship_types

function log_training_event

class DatabaseInfo

class ManualRelationshipManager

class DatabaseSchema

function main_v106

class DatabaseSchema_v1

function argspec

class Delivery_documents

class Zebra_Label

function create_instruction_diagram

class ConversationTimelineGenerator

function test_compact_formatter

function demo_improvement_comparison

function test_auto_continuation_workflow

class ConversationContextManager

function print_usage

function analyze_rm_filename_patterns

function generate_header_examples

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