Taxonomy Distribution Report

Overview

• Total Concepts: 110
• Number of Taxonomies: 10
• Average Concepts per Taxonomy: 11.0

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Auth System	AUTH	19	17.3%	✅
Connection Profiles	PROF	15	13.6%	✅
Settings Parameters	PARAM	14	12.7%	✅
Foundation Concepts	FOUND	12	10.9%	✅
Secrets Resolution	SECRT	12	10.9%	✅
Base Settings	BASE	10	9.1%	✅
Profile Registry	REG	9	8.2%	✅
Caching	CACHE	8	7.3%	✅
Field Templating	TEMPL	7	6.4%	✅
App Settings	APP	4	3.6%	✅

Visual Distribution

Auth System         ████████  19 ( 17.3%)
Connection Profiles ██████  15 ( 13.6%)
Settings Parameters ██████  14 ( 12.7%)
Foundation Concepts █████  12 ( 10.9%)
Secrets Resolution  █████  12 ( 10.9%)
Base Settings       ████  10 (  9.1%)
Profile Registry    ████   9 (  8.2%)
Caching             ███   8 (  7.3%)
Field Templating    ███   7 (  6.4%)
App Settings        █   4 (  3.6%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

Category Details

Auth System (AUTH)

Count: 19 concepts (17.3%)

Concepts:

• 1. AuthSpec Base Class
• 1. Auth Kind Literal
• 1. Auth Discriminated Union
• 1. Auth Dispatch Function
• 1. Auth To Driver Kwargs Map
• 1. Default Auth Kwargs
• 1. NoneAuth Mode
• 1. PasswordAuth Mode
• 1. TokenAuth Mode
• 1. OAuth2 Client Credentials Mode
• 1. OAuth1 Mode
• 1. OAuth2 Auth Code Mode
• 1. IAM Auth Mode
• 1. Azure AD Auth Mode
• 1. Kerberos Auth Mode
• ...and 4 more

Connection Profiles (PROF)

Count: 15 concepts (13.6%)

Concepts:

• 1. ProfileDescriptor Class
• 1. Descriptor Identity
• 1. Provider Type Field
• 1. ParameterSpec Class
• 1. Parameter Name Convention
• 1. Parameter Python Type
• 1. Parameter Tier
• 1. Parameter Default Value
• 1. MISSING Sentinel
• 1. Driver Key Mapping
• 1. Secret Parameter Flag
• 1. Transform Function
• 1. Validator Function
• 1. DescriptorProfile Class
• 1. Dynamic Field Installation

Settings Parameters (PARAM)

Count: 14 concepts (12.7%)

Concepts:

• 1. SettingsParameters Class
• 1. Structural Fields
• 1. Runtime Fields
• 1. Custom Hash And Eq
• 1. Parameter Create Factory
• 1. Merge Framework
• 1. File List Union Strategy
• 1. Scalar Last Wins Strategy
• 1. Dict Deep Merge Strategy
• 1. FileHandler Class
• 1. File Extension Dispatch
• 1. File Categorization
• 1. KwargsHandler Class
• 1. Kwargs Normalization

Foundation Concepts (FOUND)

Count: 12 concepts (10.9%)

Concepts:

• 1. Pydantic BaseModel
• 1. Pydantic BaseSettings
• 1. Field Validators
• 1. Model Config
• 1. YAML File Format
• 1. TOML File Format
• 1. JSON File Format
• 1. Env File Format
• 1. Environment Variables
• 1. Python Decorators
• 1. Discriminated Unions
• 1. SecretStr Type

Secrets Resolution (SECRT)

Count: 12 concepts (10.9%)

Concepts:

• 1. Secrets Registry
• 1. Secret Provider Protocol
• 1. Two Pass Resolution
• 1. Kwargs Pass Resolution
• 1. Model Tree Pass Resolution
• 1. Resolve References In Dict
• 1. Resolve References In Model Tree
• 1. Secret Prefix Syntax
• 1. Vault Provider
• 1. SSM Provider
• 1. Key Vault Provider
• 1. Frozen Model Rebuild On Resolve

Base Settings (BASE)

Count: 10 concepts (9.1%)

Concepts:

• 1. MountainAshBaseSettings Class
• 1. Settings Model Config
• 1. Post Init Lifecycle
• 1. Source Customization
• 1. Validate Assignment Invariant
• 1. Object Setattr Bypass
• 1. Settings Source Priority
• 1. Env Prefix Override
• 1. Config Files Parameter
• 1. Multi Format File Loading

Profile Registry (REG)

Count: 9 concepts (8.2%)

Concepts:

• 1. Registry Class
• 1. Name Keyed Store
• 1. Decorator Registration
• 1. Registry Decorator Factory
• 1. Duplicate Prevention
• 1. Registry Iteration
• 1. Registry Lookup By Name
• 1. Descriptor Invariants
• 1. Invariant Test Generator

Caching (CACHE)

Count: 8 concepts (7.3%)

Concepts:

• 1. Structural Source Context
• 1. Get Settings Function
• 1. Settings Materialization
• 1. Structural Context Key
• 1. Runtime Input Projection
• 1. Fresh Result Materialization
• 1. SettingsManager Class
• 1. Private Context Ownership

Field Templating (TEMPL)

Count: 7 concepts (6.4%)

Concepts:

• 1. Template Syntax
• 1. Field Name Placeholder
• 1. Template Resolution
• 1. Post Init Template Expansion
• 1. UPath Path Derivation
• 1. Template Priority Rules
• 1. Nested Template Resolution

App Settings (APP)

Count: 4 concepts (3.6%)

Concepts:

• 1. AppSettings Class
• 1. App Settings Defaults
• 1. App Settings Templates
• 1. App Settings Integration

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 13.6%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

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Report generated by learning-graph-reports/taxonomy_distribution.py