feat: Draft ollama test #25
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name: test | ollama | |
on: | |
workflow_dispatch: | |
pull_request: | |
types: [ labeled, synchronize ] | |
jobs: | |
run_simple_example_test: | |
runs-on: ubuntu-latest | |
services: | |
ollama: | |
image: ollama/ollama | |
ports: | |
- 11434:11434 | |
steps: | |
- name: Checkout repository | |
uses: actions/checkout@v4 | |
- name: Setup Python | |
uses: actions/setup-python@v5 | |
with: | |
python-version: '3.12.x' | |
- name: Install Poetry | |
uses: snok/[email protected] | |
with: | |
virtualenvs-create: true | |
virtualenvs-in-project: true | |
installer-parallel: true | |
- name: Install dependencies | |
run: | | |
poetry install --no-interaction --all-extras | |
- name: Install ollama | |
run: curl -fsSL https://ollama.com/install.sh | sh | |
- name: Run ollama | |
run: | | |
ollama serve & | |
ollama pull llama3.2 & | |
ollama pull avr/sfr-embedding-mistral:latest | |
- name: Call ollama API | |
run: | | |
curl -d '{"model": "llama3.2", "stream": false, "prompt":"Whatever I say, asnwer with Yes"}' http://localhost:11434/api/generate | |
- name: Wait for Ollama to be ready | |
run: | | |
for i in {1..30}; do | |
if curl -s http://localhost:11434/api/tags > /dev/null; then | |
echo "Ollama is ready" | |
exit 0 | |
fi | |
echo "Waiting for Ollama... attempt $i" | |
sleep 2 | |
done | |
echo "Ollama failed to start" | |
exit 1 | |
- name: Dump Docker logs | |
run: | | |
docker ps | |
docker logs $(docker ps --filter "ancestor=ollama/ollama" --format "{{.ID}}") | |
- name: Run example test | |
env: | |
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} | |
GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} | |
GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} | |
PYTHONFAULTHANDLER: 1 | |
LLM_API_KEY: "ollama" | |
LLM_PROVIDER: "ollama" | |
LLM_ENDPOINT: "http://127.0.0.1:11434/api/generate" | |
LLM_MODEL: "ollama/llama3.2" | |
EMBEDDING_PROVIDER: "ollama" | |
EMBEDDING_MODEL: "avr/sfr-embedding-mistral:latest" | |
EMBEDDING_ENDPOINT: "http://127.0.0.1:11434/api/embeddings" | |
EMBEDDING_DIMENSIONS: "4096" | |
HUGGINGFACE_TOKENIZER: "Salesforce/SFR-Embedding-Mistral" | |
run: poetry run python ./examples/python/simple_example.py |