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Search Results for "constraints"

Found 27 matching component(s)

• 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 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 OneCo_hybrid_RAG_v2

  A class named OneCo_hybrid_RAG

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

  class oneco_hybrid_rag

• 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_html_report

  Generate HTML report from schema info

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

  function generate_html_report

• 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

• function view_document

  Flask route handler that serves documents for in-browser viewing by accepting a file path as a query parameter, validating security constraints, and returning the file with appropriate MIME types and CORS headers.

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

  flask file-serving document-viewer security path-validation

• 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 TimeoutException

  A custom exception class that is raised when an operation exceeds its allocated time limit.

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

  exception error-handling timeout custom-exception time-management

• function api_upload_document_v1

  Flask API endpoint that handles document file uploads, validates file type and size, stores the file temporarily, and extracts basic text content for processing.

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

  file-upload document-processing api-endpoint flask validation

• class OneCo_hybrid_RAG_v3

  A class named OneCo_hybrid_RAG

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

  class oneco_hybrid_rag

• function init_database

  Initializes a Neo4j database with required schema constraints, creates an AuditTrail node, and migrates existing audit events.

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

  database initialization schema migration neo4j

• function initialize_schema

  Initializes the Neo4j database schema by creating required constraints, indexes, root nodes, audit trails, and migrating existing data structures to current schema versions.

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

  database neo4j schema initialization migration

• function validate_schema

  Validates that a Neo4j database schema contains all required constraints and node labels for a controlled document management system.

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

  database validation schema neo4j graph-database

• function initialize_approval_workflow_types

  Initializes default approval workflow types in a Neo4j database by creating or updating four predefined workflow type nodes (STANDARD, DEPARTMENT, QUALITY, REGULATORY) with their configurations.

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

  neo4j database-initialization workflow approval-workflow graph-database

• function validate_document_number

  Validates a custom document number by checking its format, length constraints, and uniqueness in the database, returning a dictionary with validation results.

  File: /tf/active/vicechatdev/CDocs/controllers/document_controller.py

  validation document-management database-query uniqueness-check format-validation

• class BusinessRuleError_v1

  Custom exception class that signals a violation of business rules in the application, inheriting from ControllerError.

  File: /tf/active/vicechatdev/CDocs/controllers/__init__.py

  exception error-handling business-logic validation controller

• function validate_document

  Validates document files by checking file size, extension, and optionally performing type-specific structural validation for supported document formats.

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

  validation document-processing file-upload file-validation document-management

• function truncate_text

  Truncates a text string to a specified maximum length and appends a suffix if truncation occurs.

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

  text-processing string-manipulation truncation text-formatting utility

• class DynamicSchemaDiscovery

  Discovers database schema from live database connection

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

  class dynamicschemadiscovery

• function get_database_schema_viewer

  Flask route handler that retrieves and formats detailed database schema information from a discovered schema stored in the Flask app object, returning it as JSON for visualization purposes.

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

  flask api-endpoint database-schema metadata visualization

• class EnhancedSQLWorkflow

  Enhanced SQL workflow with iterative optimization

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

  class enhancedsqlworkflow

• function dimension_range

  Computes the effective range along a dimension by combining data bounds with soft and hard range constraints, optionally applying padding and logarithmic scaling.

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

  range-computation data-visualization axis-limits plotting dimension-scaling

• function layer_sort

  Computes a global topological ordering of layers from a HoloMap containing CompositeOverlay objects by analyzing layer dependencies and sorting them.

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

  holoviews visualization layer-ordering topological-sort composite-overlay

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