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feat: Implement
DeepEvalEvaluator (#346)
* feat: Implement `DeepEvalEvaluator` and `DeepEvalMetrics` * Mock OpenAI API keys * Disambiguate module names * Update labeler workflow * Revert accidental changes to uptrain tests * Fix typo * Standardize namespacing and add API doc generation to CI * Lint * `mypy` fixes * Docs build fix
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| # This workflow comes from https://github.com/ofek/hatch-mypyc | ||
| # https://github.com/ofek/hatch-mypyc/blob/5a198c0ba8660494d02716cfc9d79ce4adfb1442/.github/workflows/test.yml | ||
| name: Test / deepeval | ||
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| on: | ||
| schedule: | ||
| - cron: "0 0 * * *" | ||
| pull_request: | ||
| paths: | ||
| - "integrations/deepeval/**" | ||
| - ".github/workflows/deepeval.yml" | ||
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| defaults: | ||
| run: | ||
| working-directory: integrations/deepeval | ||
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| concurrency: | ||
| group: deepeval-${{ github.head_ref }} | ||
| cancel-in-progress: true | ||
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| env: | ||
| PYTHONUNBUFFERED: "1" | ||
| FORCE_COLOR: "1" | ||
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| jobs: | ||
| run: | ||
| name: Python ${{ matrix.python-version }} on ${{ startsWith(matrix.os, 'macos-') && 'macOS' || startsWith(matrix.os, 'windows-') && 'Windows' || 'Linux' }} | ||
| runs-on: ${{ matrix.os }} | ||
| strategy: | ||
| fail-fast: false | ||
| matrix: | ||
| os: [ubuntu-latest, windows-latest, macos-latest] | ||
| python-version: ["3.9", "3.10"] | ||
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| steps: | ||
| - name: Support longpaths | ||
| if: matrix.os == 'windows-latest' | ||
| working-directory: . | ||
| run: git config --system core.longpaths true | ||
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| - uses: actions/checkout@v4 | ||
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| - name: Set up Python ${{ matrix.python-version }} | ||
| uses: actions/setup-python@v5 | ||
| with: | ||
| python-version: ${{ matrix.python-version }} | ||
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| - name: Install Hatch | ||
| run: pip install --upgrade hatch | ||
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| - name: Lint | ||
| if: matrix.python-version == '3.9' && runner.os == 'Linux' | ||
| run: hatch run lint:all | ||
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| - name: Generate docs | ||
| if: matrix.python-version == '3.9' && runner.os == 'Linux' | ||
| run: hatch run docs | ||
|
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| - name: Run tests | ||
| run: hatch run cov |
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| # deepeval-haystack | ||
|
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| [](https://pypi.org/project/deepeval-haystack) | ||
| [](https://pypi.org/project/deepeval-haystack) | ||
|
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| --- | ||
|
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| **Table of Contents** | ||
|
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| - [deepeval-haystack](#deepeval-haystack) | ||
| - [Installation](#installation) | ||
| - [Testing](#testing) | ||
| - [Examples](#examples) | ||
| - [License](#license) | ||
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| ## Installation | ||
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| ```console | ||
| pip install deepeval-haystack | ||
| ``` | ||
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| For more information about the deepeval evaluation framework, please refer to their [documentation](https://docs.confident-ai.com/docs/evaluation-introduction). | ||
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| ## Testing | ||
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| ```console | ||
| hatch run test | ||
| ``` | ||
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| ## Examples | ||
|
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| You can find a code example showing how to use the Evaluator under the `example/` folder of this repo. | ||
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| ## License | ||
|
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| `deepeval-haystack` is distributed under the terms of the [Apache-2.0](https://spdx.org/licenses/Apache-2.0.html) license. |
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| # A valid OpenAI API key is required to run this example. | ||
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| from haystack import Pipeline | ||
| from haystack_integrations.components.evaluators.deepeval import DeepEvalEvaluator, DeepEvalMetric | ||
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| QUESTIONS = [ | ||
| "Which is the most popular global sport?", | ||
| "Who created the Python language?", | ||
| ] | ||
| CONTEXTS = [ | ||
| [ | ||
| "The popularity of sports can be measured in various ways, including TV viewership, social media presence, number of participants, and economic impact.", | ||
| "Football is undoubtedly the world's most popular sport with major events like the FIFA World Cup and sports personalities like Ronaldo and Messi, drawing a followership of more than 4 billion people.", | ||
| ], | ||
| [ | ||
| "Python, created by Guido van Rossum in the late 1980s, is a high-level general-purpose programming language.", | ||
| "Its design philosophy emphasizes code readability, and its language constructs aim to help programmers write clear, logical code for both small and large-scale software projects.", | ||
| ], | ||
| ] | ||
| RESPONSES = [ | ||
| "Football is the most popular sport with around 4 billion followers worldwide", | ||
| "Python language was created by Guido van Rossum.", | ||
| ] | ||
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| pipeline = Pipeline() | ||
| evaluator = DeepEvalEvaluator( | ||
| metric=DeepEvalMetric.FAITHFULNESS, | ||
| metric_params={"model": "gpt-4"}, | ||
| ) | ||
| pipeline.add_component("evaluator", evaluator) | ||
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| # Each metric expects a specific set of parameters as input. Refer to the | ||
| # DeepEvalMetric class' documentation for more details. | ||
| results = pipeline.run({"evaluator": {"questions": QUESTIONS, "contexts": CONTEXTS, "responses": RESPONSES}}) | ||
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| for output in results["evaluator"]["results"]: | ||
| print(output) |
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| loaders: | ||
| - type: haystack_pydoc_tools.loaders.CustomPythonLoader | ||
| search_path: [../src] | ||
| modules: | ||
| [ | ||
| "haystack_integrations.components.evaluators.deepeval.evaluator", | ||
| "haystack_integrations.components.evaluators.deepeval.metrics", | ||
| ] | ||
| ignore_when_discovered: ["__init__"] | ||
| processors: | ||
| - type: filter | ||
| expression: | ||
| documented_only: true | ||
| do_not_filter_modules: false | ||
| skip_empty_modules: true | ||
| - type: smart | ||
| - type: crossref | ||
| renderer: | ||
| type: haystack_pydoc_tools.renderers.ReadmePreviewRenderer | ||
| excerpt: DeepEval integration for Haystack | ||
| category_slug: haystack-integrations | ||
| title: Chroma | ||
| slug: integrations-deepeval | ||
| order: 1 | ||
| markdown: | ||
| descriptive_class_title: false | ||
| descriptive_module_title: true | ||
| add_method_class_prefix: true | ||
| add_member_class_prefix: false | ||
| filename: _readme_deepeval.md |
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