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  • Introduction to AI Testing
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  • Stages in the AI Software Development Lifecycle
    • Components of AI Testing
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  • Learning about Distributional
    • The Distributional Framework
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      • Automated Production test creation & execution
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    • Reviewing Test Sessions and Runs in Distributional
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  • Using Distributional
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        • Auto-Test Generation
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        • Test That a Given Distribution Has Certain Properties
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      • Using Filters
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    • Python SDK
      • Quick Start
      • Functions
        • login
        • Project
          • create_project
          • copy_project
          • export_project_as_json
          • get_project
          • get_or_create_project
          • import_project_from_json
        • Run Config
          • create_run_config
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          • create_run_query
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          • create_test_session
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        • TestRecalibrationSession
        • TestGenerationSession
        • ResultData
      • Experimental Functions
        • create_test
        • get_tests
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        • wait_for_test_session
        • get_or_create_tag
        • prepare_incomplete_test_spec_payload
        • create_test_recalibration_session
        • wait_for_test_recalibration_session
        • create_test_generation_session
        • wait_for_test_generation_session
      • Eval Module
        • Quick Start
        • Application Metric Sets
        • How-To / FAQ
        • LLM-as-judge and Embedding Metrics
        • RAG / Question Answer Example
        • Eval Module Functions
          • Index of functions
          • eval
          • eval.metrics
    • Notifications
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  • Tutorials
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    • Hello World (Sentiment Classifier)
    • Trading Strategy
    • LLM Text Summarization
      • Setting the Scene
      • Prompt Engineering
      • Integration testing for text summarization
      • Practical considerations
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  • Parameters
  • Returns
  • Examples

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  1. Using Distributional
  2. Python SDK
  3. Functions
  4. Project

get_or_create_project

Retrieve the specified dbnl Project or create a new one if it does not exist

dbnl.get_or_create_project(
    *,
    name: str,
    description: Optional[str] = None,
) -> :

Parameters

Arguments
Description

name

description

An optional description for the dbnl Project, defaults to None. Description is limited to 255 characters.

Description cannot be updated with this function.

Returns

Type
Description

A new Project will be created with the specified name if there does not exist a Project with this name already. If there does exist a project with the name, the pre-existing Project will be returned.

Examples

import dbnl
dbnl.login()


proj_1 = dbnl.create_project(name="test_p1")
proj_2 = dbnl.get_or_create_project(name="test_p1")

# Calling get_or_create_project will yield same Project object
assert proj_1.id == proj_2.id
Previousget_projectNextimport_project_from_json

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The name for the dbnl . A new Project will be created with this name if there does not exist a Project with this name already. If there does exist a project with this name, the pre-existing Project will be returned.

Project
Project