c496bb485c
<!-- .github/pull_request_template.md --> ## Description <!-- Provide a clear description of the changes in this PR --> ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **Tests** - Introduced new automated testing workflows for Ollama and Gemini, triggered by pull requests and manual dispatch. - The Ollama workflow sets up the service and executes a simple example test to enhance continuous integration. - Enhanced dependency update workflow with new triggers for push and pull request events, and added an optional debug logging parameter. - Added new capabilities for audio and image transcription within the Ollama API adapter. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: Daniel Molnar <soobrosa@gmail.com>
116 lines
3.5 KiB
YAML
116 lines
3.5 KiB
YAML
name: test | ollama
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on:
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workflow_dispatch:
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pull_request:
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types: [ labeled, synchronize ]
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jobs:
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run_simple_example_test:
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# needs 16 Gb RAM for phi4
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runs-on: buildjet-4vcpu-ubuntu-2204
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# services:
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# ollama:
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# image: ollama/ollama
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# ports:
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# - 11434:11434
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Setup Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.12.x'
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- name: Install Poetry
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uses: snok/install-poetry@v1.4.1
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with:
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virtualenvs-create: true
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virtualenvs-in-project: true
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installer-parallel: true
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- name: Install dependencies
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run: |
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poetry install --no-interaction --all-extras
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poetry add torch
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# - name: Install ollama
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# run: curl -fsSL https://ollama.com/install.sh | sh
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# - name: Run ollama
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# run: |
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# ollama serve --openai &
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# ollama pull llama3.2 &
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# ollama pull avr/sfr-embedding-mistral:latest
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- name: Start Ollama container
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run: |
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docker run -d --name ollama -p 11434:11434 ollama/ollama
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sleep 5
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docker exec -d ollama bash -c "ollama serve --openai"
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- name: Check Ollama logs
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run: docker logs ollama
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- name: Wait for Ollama to be ready
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run: |
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for i in {1..30}; do
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if curl -s http://localhost:11434/v1/models > /dev/null; then
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echo "Ollama is ready"
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exit 0
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fi
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echo "Waiting for Ollama... attempt $i"
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sleep 2
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done
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echo "Ollama failed to start"
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exit 1
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- name: Pull required Ollama models
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run: |
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curl -X POST http://localhost:11434/api/pull -d '{"name": "phi4"}'
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curl -X POST http://localhost:11434/api/pull -d '{"name": "avr/sfr-embedding-mistral:latest"}'
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- name: Call ollama API
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run: |
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curl -X POST http://localhost:11434/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "phi4",
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"stream": false,
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"messages": [
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{ "role": "system", "content": "You are a helpful assistant." },
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{ "role": "user", "content": "Whatever I say, answer with Yes." }
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]
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}'
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curl -X POST http://127.0.0.1:11434/v1/embeddings \
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-H "Content-Type: application/json" \
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-d '{
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"model": "avr/sfr-embedding-mistral:latest",
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"input": "This is a test sentence to generate an embedding."
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}'
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- name: Dump Docker logs
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run: |
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docker ps
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docker logs $(docker ps --filter "ancestor=ollama/ollama" --format "{{.ID}}")
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- name: Run example test
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env:
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
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GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
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PYTHONFAULTHANDLER: 1
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LLM_PROVIDER: "ollama"
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LLM_API_KEY: "ollama"
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LLM_ENDPOINT: "http://localhost:11434/v1/"
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LLM_MODEL: "phi4"
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EMBEDDING_PROVIDER: "ollama"
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EMBEDDING_MODEL: "avr/sfr-embedding-mistral:latest"
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EMBEDDING_ENDPOINT: "http://localhost:11434/v1/"
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EMBEDDING_DIMENSIONS: "4096"
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HUGGINGFACE_TOKENIZER: "Salesforce/SFR-Embedding-Mistral"
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run: poetry run python ./examples/python/simple_example.py
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