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end-to-end

end-to-end #7

Workflow file for this run

# If you change this name also do it in ci_metrics.yml
name: end-to-end
on:
workflow_dispatch:
env:
PYTHON_VERSION: "3.8"
jobs:
e2e:
timeout-minutes: 60
strategy:
fail-fast: false # Avoid cancelling the others if one of these fails
matrix:
folder:
- "document_stores"
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: ${{ env.PYTHON_VERSION }}
- name: Install Haystack
run: pip install .[inference,elasticsearch7,faiss,weaviate,opensearch,dev]
- name: Cache HF models
id: cache-hf-models
uses: actions/cache@v3
with:
path: ~/.cache/huggingface/transformers/
key: hf-models
env:
SEGMENT_DOWNLOAD_TIMEOUT_MINS: 15
- name: Download models
if: steps.cache-hf-models.outputs.cache-hit != 'true'
run: |
python -c "from transformers import AutoModel;[AutoModel.from_pretrained(model_name) for model_name in ['vblagoje/dpr-ctx_encoder-single-lfqa-wiki', 'vblagoje/dpr-question_encoder-single-lfqa-wiki', 'facebook/dpr-question_encoder-single-nq-base', 'facebook/dpr-ctx_encoder-single-nq-base', 'elastic/distilbert-base-cased-finetuned-conll03-english', 'deepset/bert-medium-squad2-distilled']]"
- name: Run Elasticsearch
run: |
docker run -d -p 9200:9200 -e "discovery.type=single-node" -e "ES_JAVA_OPTS=-Xms128m -Xmx256m" elasticsearch:7.9.2
- name: Run Opensearch
run: |
docker run -d -p 9201:9200 -p 9600:9600 -e "discovery.type=single-node" opensearchproject/opensearch:1.3.5
- name: Run Weaviate
run: docker run -d -p 8080:8080 --name haystack_test_weaviate --env AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED='true' --env PERSISTENCE_DATA_PATH='/var/lib/weaviate' --env ENABLE_EXPERIMENTAL_BM25='true' --env DISK_USE_READONLY_PERCENTAGE='95' semitechnologies/weaviate:1.17.2
- name: Sleep
run: sleep 30
- name: Run tests
env:
TOKENIZERS_PARALLELISM: 'false' # Avoid logspam by tokenizers
# we add "and not document_store" to exclude the tests that were ported to the new strategy
run: |
pytest e2e/${{ matrix.folder }}