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Pipeline run

1f28dcec-e6a7-40e6-b990-1c147e92c95d

Pipeline LLM cost (USD)
API 1: $0.0037 API 2: $0.0002 API 3: $0.0000 Total: $0.0039

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · API and service implementation
Build and maintain FastAPI/Spring Boot backend services and REST APIs, with Pydantic validation, SQL/ORM data access, testing, and performance/debugging work in close coordination with frontend engineers.
"Design, develop, and maintain backend services using FastAPI or Spring Boot."
Tech stack maturity
Mainstream Modern
FastAPI, Pydantic, Python, REST, and SQL are widely adopted, current backend technologies that fit a mainstream modern stack.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.50 / 5
· Title match
Has AI skill
· AI skill (primary)
AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1): ChatGPT, Copilot, GitHub Copilot, Cline, Aider
Frameworks (×2): AutoGen, CrewAI
Models / concepts (×3): agentic, GenAI
Evidence — skills matched in JD (17)
Python FastAPI REST Pydantic SQL Spring Boot Flask Django SQLAlchemy Git Google ADK CrewAI AutoGen ChatGPT GitHub Copilot Aider Cline
Skill cluster (6 dimension groups, role-scoped)
Web Application Frameworks
FastAPI Spring Boot Flask Django
API Design and Contracts
REST
Data Validation and Error Handling
Pydantic
ORMs and Data Access Layers
SQLAlchemy
Programming Languages
Python
Cross-cutting / unaligned
SQL Git Google ADK CrewAI AutoGen ChatGPT GitHub Copilot Aider Cline
Show KRA description ↓
• Design, develop, and maintain backend services using FastAPI or Spring Boot. • Build and maintain RESTful APIs for integration with frontend applications. • Strong foundation on python & Pydantic for data validation and serialization. • Optimize backend systems for performance and scalability. • Collaborate with frontend engineers to ensure seamless integration. • Write unit and integration tests for backend components. • Debug and resolve issues in the backend codebase. • Work with SQL databases and ORM frameworks ( sqlalchemy etc.) for data storage and retrieval. • Stay updated with the latest trends and best practices in backend development. • 7+ years of professional experience in backend development. • Strong expertise in Python and FastAPI/Flask/Django. • Proficiency in Pydantic for data modeling. • Experience with SQL databases. • Familiarity with Spring Boot (highly preferred). • Familiarity with any Agentic Framework ( ex : Google ADK , CrewAI, Autogen ) • Strong understanding of RESTful API design principles. • Experience with version control systems such as Git. • Strong problem-solving skills and attention to detail. • Hands on experience with GenAI tools like ChatGPT, CoPilot, Aider, Cline etc.

Signals

Skill python-backend-developer
0.80
Alias python-backend-developer
1.00
KRA backend-engineer
0.65
Status: completed Created: 2026-05-27T17:20:33.940299Z Updated: 2026-05-27T17:21:21.786101Z API 3 duration: 17860 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Backend Developer

Python Backend Developer

sub-role · 0.95 CASE A

slug: backend-engineer · id: 1 · source: db · sub-role slug: python-backend-developer

Multi-alias tie (3 roles at 1.0) resolved by TIER_B_TITLE: Python Backend Developer

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped

Job description

Skill – Python Backend developer 
Location : Bangalore/Hyderabad 
Backend Engineer 


Essential Functions: 


• Design, develop, and maintain backend services using FastAPI or Spring Boot. 
• Build and maintain RESTful APIs for integration with frontend applications. 
• Strong foundation on python & Pydantic for data validation and serialization. 
• Optimize backend systems for performance and scalability. 
• Collaborate with frontend engineers to ensure seamless integration. 
• Write unit and integration tests for backend components. 
• Debug and resolve issues in the backend codebase. 
• Work with SQL databases and ORM frameworks ( sqlalchemy etc.) for data storage and retrieval. 
• Stay updated with the latest trends and best practices in backend development. 


Qualifications: 


• 7+ years of professional experience in backend development. 
• Strong expertise in Python and FastAPI/Flask/Django. 
• Proficiency in Pydantic for data modeling. 
• Experience with SQL databases. 
• Familiarity with Spring Boot (highly preferred). 
• Familiarity with any Agentic Framework ( ex : Google ADK , CrewAI, Autogen ) 
• Strong understanding of RESTful API design principles. 
• Experience with version control systems such as Git. 
• Strong problem-solving skills and attention to detail. 
• Hands on experience with GenAI tools like ChatGPT, CoPilot, Aider, Cline etc.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

  • Python (CANONICAL) primary
  • Python 2 (VERSION)
  • Python 2.x (VERSION)
  • Python 3 (VERSION)
  • Python 3.10 (VERSION)
  • Python 3.11 (VERSION)
  • Python 3.12 (VERSION)
  • Python 3.x (VERSION)
  • py (VERSION)
  • py2 (VERSION)
  • py3 (VERSION)
  • python 3 (VERSION)
  • python 3.x (VERSION)
  • python2 (VERSION)
  • python3 (VERSION)
  • python3.x (VERSION)

Context tags (catalog)

API Django FastAPI Flask Jupyter NumPy PEP 8 Pandas REST SQLAlchemy asyncio pandas pip pytest type hints venv virtualenv

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
PSF
License
mit
Year introduced
1991
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3

Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Scripting & DSL Languages Catalog dimension db id 248

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Python Programming Catalog dimension db id 290

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
FastAPI Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: FastAPI id=1201 · fastapi

Aliases — catalog

  • FastAPI (CANONICAL) primary

Context tags (catalog)

API documentation ASGI CORS JSON JSON Schema OAuth2 OpenAPI Pydantic RESTful Starlette UVicorn WebSocket async async programming data validation dependency injection middleware path parameters query parameters type hints uvicorn

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Web Framework
Vendor
Sebastián Ramírez
License
mit
Year introduced
2018
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: FastAPI appears in many Python backend job postings and has strong GitHub adoption; it’s now a common choice for API development alongside Flask/Django rather than a niche tool.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
35
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Web Application Frameworks Catalog dimension db id 2

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
Spring Boot Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Spring Boot id=6 · spring-boot

Aliases — catalog

  • Spring Boot (CANONICAL) primary
  • SB2 (VERSION)
  • SB3 (VERSION)
  • Spring Boot 2 (VERSION)
  • Spring Boot 2.x (VERSION)
  • Spring Boot 3 (VERSION)
  • Spring Boot 3.x (VERSION)
  • boot2 (VERSION)
  • boot3 (VERSION)

Context tags (catalog)

Actuator Dependency Injection Docker Embedded Tomcat Gradle Hibernate JPA JUnit Java EE Kafka Kubernetes Maven Microservices REST APIs RESTful RESTful API Spring Cloud Spring Data Spring Data JPA Spring MVC Spring Security Thymeleaf WebFlux application.properties dependency injection microservices

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Backend Framework
Vendor
Pivotal Software
License
apache_2
Year introduced
2014
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3.x

Maturity reasoning: Spring Boot appears in a large volume of backend Java job descriptions and is the default Spring stack for new services; Spring’s own docs and ecosystem center on Boot for production apps.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
3589
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Frameworks & Libraries Catalog dimension db id 360

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Engineering Manager

  • Web Application Frameworks Catalog dimension db id 2

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

  • Web Service Frameworks Catalog dimension db id 390

    Library dimension (catalog)

    Roles linked in library: Kotlin Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
Web Service Frameworks
web-service-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: REST id=11 · rest

Aliases — catalog

  • REST (CANONICAL) primary

Context tags (catalog)

API API design API versioning CRUD DELETE GET HATEOAS HTTP JSON OAuth OAuth2 OpenAPI POST PUT Postman RESTful Swagger URI Webhooks XML authentication client-server content negotiation endpoint endpoints middleware resource resource-oriented serialization stateless status codes versioning web services

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Api Architecture Style
Year introduced
2000
Confidence
0.88
Version strategy
NOT_APPLICABLE

Maturity reasoning: REST is a default API architecture in many job descriptions and is widely supported by major vendors/frameworks; OpenAPI and RESTful endpoints remain standard in hiring pipelines.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
2122
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Design and Contracts Catalog dimension db id 3

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • API Interface and Contract Design Catalog dimension db id 289

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Go Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Integration Protocols & Standards Catalog dimension db id 271

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Standards, Protocols & Compliance Catalog dimension db id 452

    Library dimension (catalog)

    Roles linked in library: Engineering Manager, Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension saved
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Standards, Protocols & Compliance
standards-protocols-compliance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pydantic Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: pydantic id=2359 · pydantic

Aliases — catalog

  • pydantic (CANONICAL) primary
  • pydantic 1 (VERSION)
  • pydantic 2 (VERSION)
  • pydantic v1 (VERSION)
  • pydantic v2 (VERSION)
  • pydantic1 (VERSION)
  • pydantic2 (VERSION)

Context tags (catalog)

Django FastAPI JSON schema Python typing data classes data parsing data validation dependency injection deserialization modeling schema generation serialization settings management type hints validation errors

Stored enrichment (catalog DB)

Category
Library
Sub-category
Data Validation Library
Vendor
Samuel Colvin
License
mit
Year introduced
2016
Confidence
0.98
Version strategy
SEPARATE_ENTITY
Version tag
2

Maturity reasoning: Pydantic appears frequently in Python backend and FastAPI job descriptions, and its GitHub adoption is strong; it’s a common data-validation library rather than a niche tool.

Skill profile (library / DB)

Skill nature
LIBRARY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
7
Sub-category id
832
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Data Validation and Error Handling Catalog dimension db id 15

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Data Validation and Error Handling
data-validation-and-error-handling
Existing dimension (library) · Role↔dimension saved
Flask Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Flask id=1344 · flask

Aliases — catalog

  • Flask (CANONICAL) primary
  • flask 2 (VERSION)
  • flask 2.x (VERSION)
  • flask 3 (VERSION)
  • flask 3.x (VERSION)
  • flask2 (VERSION)
  • flask3 (VERSION)
  • flask>=3 (VERSION)

Context tags (catalog)

API Blueprints Flask-Migrate Flask-RESTful Flask-SQLAlchemy Flask-WTF JSON Jinja2 RESTful RESTful APIs SQLAlchemy Werkzeug debugging deployment gunicorn middleware routing session management template rendering unit testing virtual environments virtualenv

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Web Framework
Vendor
Pallets Projects
License
bsd
Year introduced
2010
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3.x

Maturity reasoning: Flask appears in many Python web developer job postings and remains a common lightweight framework in hiring pipelines, though often alongside Django/FastAPI rather than as a niche tool.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
35
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Web Application Frameworks Catalog dimension db id 2

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
Django Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Django id=9 · django

Aliases — catalog

  • Django (CANONICAL) primary
  • Django 1 (VERSION)
  • Django 1.x (VERSION)
  • Django 2 (VERSION)
  • Django 2.x (VERSION)
  • Django 3 (VERSION)
  • Django 3.x (VERSION)
  • Django 4 (VERSION)
  • Django 4.x (VERSION)
  • Django 5 (VERSION)
  • Django 5.x (VERSION)
  • Django1 (VERSION)
  • Django2 (VERSION)
  • Django3 (VERSION)
  • Django4 (VERSION)
  • Django5 (VERSION)
  • django 2 (VERSION)
  • django 2.x (VERSION)
  • django 3 (VERSION)
  • django 3.x (VERSION)
  • django 4 (VERSION)
  • django 4.x (VERSION)
  • django 5 (VERSION)
  • django 5.0 (VERSION)
  • django 5.x (VERSION)
  • django2 (VERSION)
  • django2.x (VERSION)
  • django3 (VERSION)
  • django3.x (VERSION)
  • django4 (VERSION)
  • django4.x (VERSION)
  • django5 (VERSION)
  • django5.0 (VERSION)
  • django5.x (VERSION)

Context tags (catalog)

Celery Django REST Framework Django Signals Jinja2 MVT ORM PostgreSQL QuerySet REST URL routing admin interface admin site authentication celery csrf deployment forms gunicorn middleware migrations models pytest querysets settings signals static files templates views

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Web Framework
Vendor
Django Software Foundation
License
bsd
Year introduced
2005
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
5

Maturity reasoning: Django appears in many backend web job descriptions and remains a standard Python web framework; its GitHub ecosystem and long-term LTS releases show sustained market demand.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
35
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Frameworks & Libraries Catalog dimension db id 360

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Engineering Manager

  • Web Application Frameworks Catalog dimension db id 2

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
SQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SQL id=101 · sql

Aliases — catalog

  • SQL (CANONICAL) primary

Context tags (catalog)

ACID CTE DDL DML ETL JOIN MySQL NoSQL OLAP ORM PostgreSQL SQL injection SQLite T-SQL data modeling data warehousing database normalization execution plan indexing joins normalization query optimization stored procedures subquery transaction isolation transaction management window functions

Stored enrichment (catalog DB)

Category
Language
Sub-category
Query Language
Vendor
ANSI
License
unknown
Year introduced
1974
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: SQL appears in a large share of data, backend, and analytics job descriptions and remains the default query language for PostgreSQL, MySQL, and cloud warehouses like Snowflake/BigQuery.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
97
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQLAlchemy Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SQLAlchemy id=23 · sqlalchemy

Aliases — catalog

  • SQLAlchemy (CANONICAL) primary
  • SQLAlchemy 1 (VERSION)
  • SQLAlchemy 1.x (VERSION)
  • SQLAlchemy 2 (VERSION)
  • SQLAlchemy 2.x (VERSION)

Context tags (catalog)

Alembic Core ORM PostgreSQL SQL SQLite async engine declarative declarative base engine filtering joinedload lazy loading mapping metadata migrations model persistence query query builder relationship session sessionmaker transaction

Stored enrichment (catalog DB)

Category
Library
Sub-category
Orm Library
Vendor
SQLAlchemy Team
License
mit
Year introduced
2005
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: SQLAlchemy appears frequently in Python backend job descriptions and is a standard ORM in the ecosystem; it remains actively maintained with broad GitHub usage and no vendor sunset signal.

Skill profile (library / DB)

Skill nature
LIBRARY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
7
Sub-category id
39
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • ORMs and Data Access Layers Catalog dimension db id 5

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
ORMs and Data Access Layers
orms-and-data-access-layers
Existing dimension (library) · Role↔dimension saved
Git Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Git id=1002 · git

Aliases — catalog

  • Git (CANONICAL)

Context tags (catalog)

CI/CD GitHub GitLab branching checkout clone commit fork merging pull request rebase remote repository stash versioning

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Version Control Tool
Vendor
Linus Torvalds
License
gpl_v2
Year introduced
2005
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Git is a hiring-pipeline staple: it appears in the vast majority of software engineering job descriptions and is the default VCS on GitHub/GitLab/Bitbucket.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
730
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google ADK Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Development Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
CrewAI Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CrewAI id=1191 · crewai

Aliases — catalog

  • CrewAI (CANONICAL) primary

Context tags (catalog)

AI collaboration AI coordination API integration agent communication agent orchestration agent-based autonomous agents behavior modeling cloud deployment data flow decision-making dynamic adaptation environment modeling event-driven architecture intelligent agents multi-agent multi-agent systems performance metrics performance optimization real-time collaboration real-time interaction reinforcement learning scalability simulation system interoperability task allocation task management workflow automation

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Agent Framework
Vendor
CrewAI
License
unknown
Year introduced
2021
Confidence
0.94
Version strategy
NOT_APPLICABLE

Maturity reasoning: CrewAI is appearing in more AI-agent job descriptions and tutorials, but JD volume is still far below Python/React staples; GitHub adoption is growing, not yet universal.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
969
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Agentic Frameworks Catalog dimension db id 200

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Agentic Frameworks
agentic-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AutoGen Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AutoGen id=1255 · autogen

Aliases — catalog

  • AutoGen (CANONICAL) primary

Context tags (catalog)

API integration agent-based contextual understanding decision making dialogue management interaction design knowledge base model training multi-agent natural language processing reinforcement learning scalability state management task automation user intent

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Agent Framework
Vendor
Microsoft
License
mit
Year introduced
2023
Confidence
0.94
Version strategy
NOT_APPLICABLE

Maturity reasoning: AutoGen is appearing in more AI-agent job postings and GitHub projects, but JD volume is still far below Python/React-level staples; market signal shows growing adoption, not ubiquity.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
969
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Agentic Frameworks Catalog dimension db id 200

    Library dimension (catalog)

    Roles linked in library: AI Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Agentic Frameworks
agentic-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
ChatGPT Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
AI Tools
Sub-category
general
Skill nature
TOOL
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
GitHub Copilot Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
AI Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Aider Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
AI Tools
Sub-category
general
Skill nature
TOOL
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
Cline Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
AI Tools
Sub-category
general
Skill nature
TOOL
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Python in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
FastAPI in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
FastAPI in_db
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
Spring Boot in_db
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Spring Boot in_db
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
Spring Boot in_db
Web Service Frameworks
web-service-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension saved
REST in_db
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
Standards, Protocols & Compliance
standards-protocols-compliance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pydantic in_db
Data Validation and Error Handling
data-validation-and-error-handling
Existing dimension (library) · Role↔dimension saved
Flask in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Flask in_db
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
Django in_db
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Django in_db
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
SQL in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQLAlchemy in_db
ORMs and Data Access Layers
orms-and-data-access-layers
Existing dimension (library) · Role↔dimension saved
Git in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CrewAI in_db
Agentic Frameworks
agentic-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CrewAI in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AutoGen in_db
Agentic Frameworks
agentic-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Google ADK | type=Development Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed ChatGPT | type=AI Tools subtype=general nature=TOOL lifespan=SHORT_LIVED
canonical_skill_proposed GitHub Copilot | type=AI Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Aider | type=AI Tools subtype=general nature=TOOL lifespan=SHORT_LIVED
canonical_skill_proposed Cline | type=AI Tools subtype=general nature=TOOL lifespan=SHORT_LIVED
nano JD Parser — gpt-4.1-nano click to toggle
RolePython Backend developer
Experience7+ years of professional experience in backend development.
DomainOther
Location Bangalore, India (null)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": null,
    "min": 7,
    "raw": "7+ years of professional experience in backend development."
  },
  "job_locations": [
    {
      "aliases": [
        "Bengaluru"
      ],
      "city": "Bangalore",
      "country": "India",
      "state": null,
      "work_mode": "null"
    },
    {
      "aliases": [],
      "city": "Hyderabad",
      "country": "India",
      "state": null,
      "work_mode": "null"
    }
  ],
  "role": "Python Backend developer",
  "role_aliases": [
    "Backend Developer",
    "Backend Engineer",
    "Python Developer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 9,
      "heading": "Essential Functions",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Design, develop, and maintain",
        "last_5_words": "best practices in backend development."
      },
      "text": "\u2022 Design, develop, and maintain backend services using FastAPI or Spring Boot.\n\u2022 Build and maintain RESTful APIs for integration with frontend applications.\n\u2022 Strong foundation on python \u0026 Pydantic for data validation and serialization.\n\u2022 Optimize backend systems for performance and scalability.\n\u2022 Collaborate with frontend engineers to ensure seamless integration.\n\u2022 Write unit and integration tests for backend components.\n\u2022 Debug and resolve issues in the backend codebase.\n\u2022 Work with SQL databases and ORM frameworks ( sqlalchemy etc.) for data storage and retrieval.\n\u2022 Stay updated with the latest trends and best practices in backend development.",
      "word_count": 102
    },
    {
      "bullet_count": 10,
      "heading": "Qualifications",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 7+ years of professional experience",
        "last_5_words": "like ChatGPT, CoPilot, Aider, Cline etc."
      },
      "text": "\u2022 7+ years of professional experience in backend development.\n\u2022 Strong expertise in Python and FastAPI/Flask/Django.\n\u2022 Proficiency in Pydantic for data modeling.\n\u2022 Experience with SQL databases.\n\u2022 Familiarity with Spring Boot (highly preferred).\n\u2022 Familiarity with any Agentic Framework ( ex : Google ADK , CrewAI, Autogen )\n\u2022 Strong understanding of RESTful API design principles.\n\u2022 Experience with version control systems such as Git.\n\u2022 Strong problem-solving skills and attention to detail.\n\u2022 Hands on experience with GenAI tools like ChatGPT, CoPilot, Aider, Cline etc.",
      "word_count": 113
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": "FastAPI"
    },
    {
      "is_primary": false,
      "skill_name": "Spring Boot"
    },
    {
      "is_primary": true,
      "skill_name": "REST"
    },
    {
      "is_primary": true,
      "skill_name": "Pydantic"
    },
    {
      "is_primary": false,
      "skill_name": "Flask"
    },
    {
      "is_primary": false,
      "skill_name": "Django"
    },
    {
      "is_primary": true,
      "skill_name": "SQL"
    },
    {
      "is_primary": false,
      "skill_name": "SQLAlchemy"
    },
    {
      "is_primary": false,
      "skill_name": "Git"
    },
    {
      "is_primary": false,
      "skill_name": "Google ADK"
    },
    {
      "is_primary": false,
      "skill_name": "CrewAI"
    },
    {
      "is_primary": false,
      "skill_name": "AutoGen"
    },
    {
      "is_primary": false,
      "skill_name": "ChatGPT"
    },
    {
      "is_primary": false,
      "skill_name": "GitHub Copilot"
    },
    {
      "is_primary": false,
      "skill_name": "Aider"
    },
    {
      "is_primary": false,
      "skill_name": "Cline"
    }
  ],
  "jd_role": {
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    "rationale": null,
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    "slug": ""
  },
  "nano_parsed": {
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    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
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    },
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      },
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        "state": null,
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    ],
    "role": "Python Backend developer",
    "role_aliases": [
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      "Backend Engineer",
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    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
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        "bullet_count": 9,
        "heading": "Essential Functions",
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        "word_count": 113
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    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "1f28dcec-e6a7-40e6-b990-1c147e92c95d",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Python Backend Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 80,
        "score": 1.0,
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        "total_count": null
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 1.0,
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      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 446,
        "score": 1.0,
        "slug": "backend-developer",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": "Backend Developer",
        "kra_matches": [
          {
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            "sentence": "Build and maintain RESTful APIs for integration with frontend applications.",
            "similarity": 0.6655
          },
          {
            "kra_text": "Identifies and resolves backend performance bottlenecks through query optimization, indexing strategies, connection pooling, and distributed caching with Redis.",
            "sentence": "Optimize backend systems for performance and scalability.",
            "similarity": 0.6589
          },
          {
            "kra_text": "Writes database access logic including SQL queries, ORM mappings, stored procedures, and migration scripts for relational databases like PostgreSQL and MySQL.",
            "sentence": "Work with SQL databases and ORM frameworks ( sqlalchemy etc. ) for data storage and retrieval.",
            "similarity": 0.6126
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        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 0.6457,
        "slug": "backend-engineer",
        "total_count": null
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": [
          {
            "kra_text": "Debugs full-stack issues that span frontend rendering, API behavior, database queries, and infrastructure configuration to identify root causes.",
            "sentence": "Debug and resolve issues in the backend codebase.",
            "similarity": 0.6737
          },
          {
            "kra_text": "Builds and integrates client-side React or Vue components with server-side Node.js or Django APIs, managing bidirectional data flow across frontend and backend layers.",
            "sentence": "Build and maintain RESTful APIs for integration with frontend applications.",
            "similarity": 0.6144
          },
          {
            "kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
            "sentence": "Work with SQL databases and ORM frameworks ( sqlalchemy etc. ) for data storage and retrieval.",
            "similarity": 0.5932
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 15,
        "score": 0.6271,
        "slug": "full-stack-engineer",
        "total_count": null
      },
      {
        "display_name": "Flutter Developer",
        "kra_matches": [
          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Collaborate with frontend engineers to ensure seamless integration.",
            "similarity": 0.7149
          },
          {
            "kra_text": "optimize responsiveness and performance",
            "sentence": "Optimize backend systems for performance and scalability.",
            "similarity": 0.6134
          },
          {
            "kra_text": "integrate external APIs and data sources",
            "sentence": "Build and maintain RESTful APIs for integration with frontend applications.",
            "similarity": 0.5522
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 74,
        "score": 0.6269,
        "slug": "flutter-developer",
        "total_count": null
      },
      {
        "display_name": "Frontend Developer",
        "kra_matches": [
          {
            "kra_text": "Integrates frontend views with RESTful or GraphQL backend APIs, handling async data fetching, loading states, error boundaries, and cache invalidation.",
            "sentence": "Build and maintain RESTful APIs for integration with frontend applications.",
            "similarity": 0.648
          },
          {
            "kra_text": "Supports production releases by diagnosing cross-browser compatibility issues, investigating UI regressions, and resolving frontend performance degradation.",
            "sentence": "Debug and resolve issues in the backend codebase.",
            "similarity": 0.5788
          },
          {
            "kra_text": "Collaborates with UX designers to refine interaction details, animations, responsive breakpoints, and micro-interaction behavior.",
            "sentence": "Collaborate with frontend engineers to ensure seamless integration.",
            "similarity": 0.5725
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 7,
        "score": 0.5998,
        "slug": "frontend-engineer",
        "total_count": null
      },
      {
        "display_name": "React Native Developer",
        "kra_matches": [
          {
            "kra_text": "integrate backend APIs",
            "sentence": "Build and maintain RESTful APIs for integration with frontend applications.",
            "similarity": 0.6589
          },
          {
            "kra_text": "integrate backend APIs",
            "sentence": "Write unit and integration tests for backend components.",
            "similarity": 0.6086
          },
          {
            "kra_text": "integrate backend APIs",
            "sentence": "Collaborate with frontend engineers to ensure seamless integration.",
            "similarity": 0.525
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 73,
        "score": 0.5975,
        "slug": "react-native-developer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Python Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
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          "REST",
          "pydantic"
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        "role_id": 80,
        "score": 0.8,
        "slug": "python-backend-developer",
        "total_count": 5
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "FastAPI",
          "Python",
          "REST",
          "pydantic"
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        "role_id": 1,
        "score": 0.8,
        "slug": "backend-engineer",
        "total_count": 5
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "FastAPI",
          "Python",
          "REST"
        ],
        "role_id": 15,
        "score": 0.6,
        "slug": "full-stack-engineer",
        "total_count": 5
      },
      {
        "display_name": "Node.js Backend Developer",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "FastAPI",
          "REST",
          "pydantic"
        ],
        "role_id": 82,
        "score": 0.6,
        "slug": "node-backend-developer",
        "total_count": 5
      },
      {
        "display_name": "PHP Backend Developer",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "FastAPI",
          "REST",
          "pydantic"
        ],
        "role_id": 86,
        "score": 0.6,
        "slug": "php-backend-developer",
        "total_count": 5
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": true,
    "case": "A",
    "chosen_role": {
      "display_name": "Backend Developer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 1,
      "score": 1.0,
      "slug": "backend-engineer",
      "total_count": null
    },
    "confidence": 0.95,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Multi-alias tie (3 roles at 1.0) resolved by TIER_B_TITLE: Python Backend Developer",
    "sub_role": {
      "confidence": 0.95,
      "display_name": "Python Backend Developer",
      "reasoning": "hoisted from chosen leaf (case=A)",
      "role_id": 80,
      "slug": "python-backend-developer"
    }
  },
  "stage5_updates": null
}
API 2 — extract-details
{
  "alias_matches": [
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 67,
      "existing_alias_text": "Python",
      "input_term": "Python",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Python",
        "id": 5,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "python",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
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        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages \u0026 DSLs",
            "id": 475,
            "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
            "slug": "programming-languages-dsls",
            "source": "db"
          },
          "input_skill": "SQL",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for Data Work",
            "id": 21,
            "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
            "slug": "programming-languages-for-data-work",
            "source": "db"
          },
          "input_skill": "SQL",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "SQL",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "SQLAlchemy",
          "alias_type": "CANONICAL",
          "id": 156,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQLAlchemy 1",
          "alias_type": "VERSION",
          "id": 157,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQLAlchemy 1.x",
          "alias_type": "VERSION",
          "id": 159,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQLAlchemy 2",
          "alias_type": "VERSION",
          "id": 158,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQLAlchemy 2.x",
          "alias_type": "VERSION",
          "id": 160,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 7,
        "display_name": "SQLAlchemy",
        "id": 23,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LIBRARY",
        "slug": "sqlalchemy",
        "sub_category_id": 39,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "ORMs and Data Access Layers",
            "id": 5,
            "rationale": "Libraries and patterns used to map application objects to persistent storage and encapsulate database access. This cluster covers repository patterns, query builders, and persistence abstractions.",
            "slug": "orms-and-data-access-layers",
            "source": "db"
          },
          "input_skill": "SQLAlchemy",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 435,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "fullstack-developer",
              "source": "db"
            },
            {
              "display_name": "Java Backend Developer",
              "id": 79,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "java-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Ruby Backend Developer",
              "id": 85,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "ruby-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "SQLAlchemy",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Git",
          "alias_type": "CANONICAL",
          "id": 1613,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 13,
        "display_name": "Git",
        "id": 1002,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "git",
        "sub_category_id": 730,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Git",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Git",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Google ADK",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Development Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "google-adk",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "CrewAI",
          "alias_type": "CANONICAL",
          "id": 1827,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 5,
        "display_name": "CrewAI",
        "id": 1191,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "crewai",
        "sub_category_id": 969,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Agentic Frameworks",
            "id": 200,
            "rationale": "Frameworks for building tool-using, stateful, multi-step AI agents that plan and act across tasks. This is a separate cluster because agent behavior introduces control flow, memory, and safety concerns beyond simple prompt chaining.",
            "slug": "agentic-frameworks",
            "source": "db"
          },
          "input_skill": "CrewAI",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 13,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "CrewAI",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "CrewAI",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "AutoGen",
          "alias_type": "CANONICAL",
          "id": 1891,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 5,
        "display_name": "AutoGen",
        "id": 1255,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "autogen",
        "sub_category_id": 969,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Agentic Frameworks",
            "id": 200,
            "rationale": "Frameworks for building tool-using, stateful, multi-step AI agents that plan and act across tasks. This is a separate cluster because agent behavior introduces control flow, memory, and safety concerns beyond simple prompt chaining.",
            "slug": "agentic-frameworks",
            "source": "db"
          },
          "input_skill": "AutoGen",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 13,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "AutoGen",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "ChatGPT",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "AI Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "SHORT_LIVED",
          "version_strategy": "VERSIONED",
          "volatility": "FAST"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "chatgpt",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "GitHub Copilot",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "AI Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "github-copilot",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Aider",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "AI Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "SHORT_LIVED",
          "version_strategy": "VERSIONED",
          "volatility": "FAST"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "aider",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Cline",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "AI Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "SHORT_LIVED",
          "version_strategy": "VERSIONED",
          "volatility": "FAST"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "cline",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Google ADK",
    "ChatGPT",
    "GitHub Copilot",
    "Aider",
    "Cline"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Backend Developer",
    "id": 1,
    "rationale": "Multi-alias tie (3 roles at 1.0) resolved by TIER_B_TITLE: Python Backend Developer",
    "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
    "slug": "backend-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "FastAPI",
      "tag": "in_db"
    },
    {
      "skill": "Spring Boot",
      "tag": "in_db"
    },
    {
      "skill": "REST",
      "tag": "in_db"
    },
    {
      "skill": "Pydantic",
      "tag": "in_db"
    },
    {
      "skill": "Flask",
      "tag": "in_db"
    },
    {
      "skill": "Django",
      "tag": "in_db"
    },
    {
      "skill": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "SQLAlchemy",
      "tag": "in_db"
    },
    {
      "skill": "Git",
      "tag": "in_db"
    },
    {
      "skill": "Google ADK",
      "tag": "new"
    },
    {
      "skill": "CrewAI",
      "tag": "in_db"
    },
    {
      "skill": "AutoGen",
      "tag": "in_db"
    },
    {
      "skill": "ChatGPT",
      "tag": "new"
    },
    {
      "skill": "GitHub Copilot",
      "tag": "new"
    },
    {
      "skill": "Aider",
      "tag": "new"
    },
    {
      "skill": "Cline",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Scripting \u0026 DSL Languages",
          "id": 248,
          "rationale": "Proficiency in programming and domain-specific languages used to automate and script cloud security controls.",
          "slug": "cloud-security-scripting-dsl-languages",
          "source": "db"
        },
        "dimension_id": 248,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
          "id": 1,
          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
          "slug": "programming-languages",
          "source": "db"
        },
        "dimension_id": 1,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 435,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "fullstack-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages \u0026 DSLs",
          "id": 475,
          "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
          "slug": "programming-languages-dsls",
          "source": "db"
        },
        "dimension_id": 475,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages and Scripting",
          "id": 59,
          "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
          "slug": "programming-languages-and-scripting",
          "source": "db"
        },
        "dimension_id": 59,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for Data Work",
          "id": 21,
          "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
        "dimension_id": 21,
        "input_skill": "Python",
        "llm_role": null,
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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