Browse Components

function get_lims_parameters_by_id

Retrieves a LIMS_Parameters node from a Neo4j graph database by its unique identifier.

File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py | Lines: 70-77

neo4j graph-database lims database-query cypher

function get_all_lims_parameters

Queries a Neo4j graph database to retrieve all nodes labeled as LIMS_Parameters, with a configurable limit on the number of results returned.

File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py | Lines: 61-68

neo4j graph-database cypher-query lims database-query

function create_lims_importerrors

Creates a new LIMS_ImportErrors node in a Neo4j graph database with the specified properties and returns the created node.

File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py | Lines: 49-58

neo4j graph-database lims error-logging database-insert

function get_lims_importerrors_by_uid

Retrieves a LIMS_ImportErrors node from a Neo4j graph database by its unique identifier (UID).

File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py | Lines: 40-47

neo4j graph-database query lims error-tracking

function get_lims_importerrors_by_id

Retrieves a single LIMS_ImportErrors node from a Neo4j graph database by its unique ID.

File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py | Lines: 31-38

neo4j graph-database query lims error-handling

function get_all_lims_importerrors

Queries a Neo4j graph database to retrieve all nodes labeled as LIMS_ImportErrors, with a configurable limit on the number of results returned.

File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py | Lines: 22-29

neo4j graph-database lims error-handling database-query

function run_query_v2

Executes a Cypher query against a Neo4j graph database and returns the results as a list of dictionaries.

File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py | Lines: 15-18

neo4j graph-database cypher database-query data-retrieval

function run_all_tests

Orchestrates a comprehensive test suite for the Vendor Email Extractor system, verifying configuration, authentication, mailbox access, email search, and LLM connectivity.

File: /tf/active/vicechatdev/find_email/test_vendor_extractor.py | Lines: 206-258

testing verification setup validation integration-test

function test_llm_connectivity

Tests the connectivity and functionality of an OpenAI LLM integration by analyzing a mock email with vendor information extraction.

File: /tf/active/vicechatdev/find_email/test_vendor_extractor.py | Lines: 170-203

testing llm openai connectivity diagnostic

function test_email_search

Tests the email search functionality of a VendorEmailExtractor instance by searching for emails containing common business terms in the first available mailbox.

File: /tf/active/vicechatdev/find_email/test_vendor_extractor.py | Lines: 127-167

testing email search microsoft-graph mailbox

function test_mailbox_access

Tests the ability to access and retrieve mailboxes from Microsoft Graph API through a VendorEmailExtractor instance, displaying results and troubleshooting information.

File: /tf/active/vicechatdev/find_email/test_vendor_extractor.py | Lines: 98-124

testing microsoft-graph mailbox diagnostics permissions

function test_authentication

Tests Azure AD authentication for a VendorEmailExtractor instance by attempting to authenticate and providing detailed troubleshooting guidance on failure.

File: /tf/active/vicechatdev/find_email/test_vendor_extractor.py | Lines: 78-95

authentication azure-ad testing diagnostics troubleshooting

function test_configuration_v1

Validates that all required configuration variables (Azure AD credentials, OpenAI API key, and domain) are properly set and not using placeholder values.

File: /tf/active/vicechatdev/find_email/test_vendor_extractor.py | Lines: 31-75

configuration validation testing setup credentials

function extract_batch

Batch processes a list of vendors from an Excel file to extract their email addresses by searching through Microsoft 365 mailboxes using AI-powered email analysis.

File: /tf/active/vicechatdev/find_email/extract_vendor_batch.py | Lines: 44-115

email-extraction vendor-management batch-processing microsoft-graph-api openai

function load_vendor_list

Loads unique vendor names from the first column of an Excel file, removing any null values and returning them as a list.

File: /tf/active/vicechatdev/find_email/extract_vendor_batch.py | Lines: 30-41

data-loading excel pandas vendor-management file-processing

class VendorEmailExtractor

Extract vendor email addresses from all organizational mailboxes

File: /tf/active/vicechatdev/find_email/vendor_email_extractor.py | Lines: 29-945

class vendoremailextractor

class VendorEnricher

A class that enriches vendor information by finding official email addresses and VAT numbers using RAG (Retrieval-Augmented Generation) with ChromaDB document search and web search capabilities.

File: /tf/active/vicechatdev/find_email/vendor_enrichment.py | Lines: 33-415

vendor-enrichment data-enrichment RAG web-search ChromaDB

Tests vendor enrichment by querying a RAG (Retrieval-Augmented Generation) system to find official contact information (email and VAT number) for a specified vendor using document search and web search capabilities.

File: /tf/active/vicechatdev/find_email/test_enrichment.py | Lines: 37-134

testing vendor-enrichment RAG information-retrieval contact-information

function test_setup

Validates the presence of required API keys (OpenAI and SERPER) and sets them as environment variables with fallback default values.

File: /tf/active/vicechatdev/find_email/test_enrichment.py | Lines: 19-34

setup validation environment-variables api-keys configuration

class StatisticalAgent_v1

LLM-powered statistical analysis agent

File: /tf/active/vicechatdev/full_smartstat/statistical_agent.py | Lines: 33-724

class statisticalagent

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