fix: some imports for integration tests (#2612)

Add more missed imports for integration tests. Bump `pytest` to the
current latest version.
Fix `tests/integration_tests/vectorstores/test_elasticsearch.py` to
update its cassette(easy fix).

Related PR: https://github.com/hwchase17/langchain/pull/2560
This commit is contained in:
sergerdn 2023-04-11 20:45:36 -07:00 committed by GitHub
parent c1521ddbdb
commit 4bdcedab54
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8 changed files with 202527 additions and 1294 deletions

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@ -4913,6 +5267,30 @@ files = [
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testing = ["pytest", "pytest-benchmark"]
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name = "posthog"
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@ -5552,18 +5930,17 @@ files = [
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@ -5572,7 +5949,7 @@ pluggy = ">=0.12,<2.0"
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@ -5932,14 +6309,14 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
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category = "main"
optional = true
optional = false
python-versions = ">=3.8"
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category = "main"
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optional = false
python-versions = ">=3.8"
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optional = false
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python-versions = ">=3.8"
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[package.dependencies]
cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
[package.extras]
cffi = ["cffi (>=1.11)"]
[extras]
all = ["aleph-alpha-client", "anthropic", "beautifulsoup4", "cohere", "deeplake", "elasticsearch", "faiss-cpu", "google-api-python-client", "google-search-results", "huggingface_hub", "jina", "jinja2", "manifest-ml", "networkx", "nlpcloud", "nltk", "nomic", "openai", "opensearch-py", "pgvector", "pinecone-client", "psycopg2-binary", "pyowm", "pypdf", "qdrant-client", "redis", "sentence-transformers", "spacy", "tensorflow-text", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha"]
cohere = ["cohere"]
@ -8655,4 +9167,4 @@ qdrant = ["qdrant-client"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "56e8666167102cc23b605c8d91b26a62c0858216637cc281b866315da766ad71"
content-hash = "a8fde2558f92b4c5ec1dce45f830adc6158dd2cf8c425a34a06523ee8e74487d"

View File

@ -28,7 +28,7 @@ spacy = {version = "^3", optional = true}
nltk = {version = "^3", optional = true}
transformers = {version = "^4", optional = true}
beautifulsoup4 = {version = "^4", optional = true}
torch = {version = "^1", optional = true}
torch = {version = "^2", optional = true}
jinja2 = {version = "^3", optional = true}
tiktoken = {version = "^0.3.2", optional = true, python="^3.9"}
pinecone-client = {version = "^2", optional = true}
@ -75,7 +75,7 @@ linkchecker = "^10.2.1"
sphinx-copybutton = "^0.5.1"
[tool.poetry.group.test.dependencies]
pytest = "^7.2.0"
pytest = "^7.3.0"
pytest-cov = "^4.0.0"
pytest-dotenv = "^0.5.2"
duckdb-engine = "^0.7.0"
@ -88,16 +88,19 @@ pytest-asyncio = "^0.20.3"
optional = true
[tool.poetry.group.test_integration.dependencies]
openai = "^0.27.4"
elasticsearch = {extras = ["async"], version = "^8.6.2"}
pytest-vcr = "^1.0.2"
wrapt = "^1.15.0"
openai = "^0.27.4"
elasticsearch = {extras = ["async"], version = "^8.6.2"}
redis = "^4.5.4"
pinecone-client = "^2.2.1"
pgvector = "^0.1.6"
transformers = "^4.27.4"
pandas = "^2.0.0"
deeplake = "^3.2.21"
torch = "^2.0.0"
chromadb = "^0.3.21"
tiktoken = "^0.3.3"
[tool.poetry.group.lint.dependencies]
ruff = "^0.0.249"

View File

@ -27,7 +27,7 @@ Any new dependencies should be added by running:
```bash
# add package and install it after adding:
poetry add deeplake --group "test_integration" && poetry install --with test_integration
poetry add tiktoken@latest --group "test_integration" && poetry install --with test_integration
```
Before running any tests, you should start a specific Docker container that has all the
@ -55,4 +55,12 @@ new cassettes. Here's an example:
```bash
pytest tests/integration_tests/vectorstores/test_elasticsearch.py --vcr-record=none
```
### Run some tests with coverage:
```bash
pytest tests/integration_tests/vectorstores/test_elasticsearch.py --cov=langchain --cov-report=html
start "" htmlcov/index.html || open htmlcov/index.html
```

View File

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cartilaginous skeleton, five to seven gill slits on the sides of the head, and
pectoral fins that are not fused to the head. Modern sharks are classified within
the clade Selachimorpha (or Selachii) and are the sister group to the Batoidea
(rays and kin). Some sources extend the term \"shark\" as an informal category
including extinct members of Chondrichthyes (cartilaginous fish) with a shark-like
morphology, such as hybodonts and xenacanths. Shark-like chondrichthyans such
as Cladoselache and Doliodus first appeared in the Devonian Period (419-359
Ma), though some fossilized chondrichthyan-like scales are as old as the Late
Ordovician (458-444 Ma). The oldest modern sharks (selachians) are known from
the Early Jurassic, about 200 Ma.", "Sharks range in size from the small dwarf
lanternshark (Etmopterus perryi), a deep sea species that is only 17 centimetres
(6.7 in) in length, to the whale shark (Rhincodon typus), the largest fish in
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such as the bull shark and the river shark, which can be found in both seawater
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their skin from damage and parasites in addition to improving their fluid dynamics.
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shark, and hammerhead shark.", "Sharks are caught by humans for shark meat or
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headers:
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headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 7b3ba1a41cc19235-FRA
- 7b50c215fcf91678-DME
Connection:
- keep-alive
Content-Encoding:
@ -551,7 +560,7 @@ interactions:
Content-Type:
- application/json
Date:
- Thu, 06 Apr 2023 17:08:12 GMT
- Sun, 09 Apr 2023 06:40:21 GMT
Server:
- cloudflare
Transfer-Encoding:
@ -563,7 +572,7 @@ interactions:
openai-organization:
- own-45h3iv
openai-processing-ms:
- '737'
- '14'
openai-version:
- '2020-10-01'
strict-transport-security:
@ -575,7 +584,7 @@ interactions:
x-ratelimit-reset-requests:
- 20ms
x-request-id:
- f2f02f88b1097ce728e4b79198958fde
- dfb9f22839291be2e6a38403a0861937
status:
code: 200
message: OK

View File

@ -2,26 +2,22 @@ version: "3"
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:8.7.0
image: docker.elastic.co/elasticsearch/elasticsearch:8.7.0 # https://www.docker.elastic.co/r/elasticsearch/elasticsearch
environment:
- discovery.type=single-node
- xpack.security.enabled=false
- xpack.security.enabled=false # security has been disabled, so no login or password is required.
- xpack.security.http.ssl.enabled=false
- ELASTIC_PASSWORD=password
ports:
- "9200:9200"
healthcheck:
test: [ "CMD-SHELL", "curl --silent --fail http://localhost:9200/_cluster/health || exit 1" ]
interval: 1s
retries: 360
interval: 10s
retries: 60
kibana:
image: docker.elastic.co/kibana/kibana:8.7.0
environment:
- ELASTICSEARCH_URL=http://elasticsearch:9200
- ELASTICSEARCH_USERNAME=kibana_system
- ELASTICSEARCH_PASSWORD=password
- KIBANA_PASSWORD=password
ports:
- "5601:5601"
healthcheck:

View File

@ -8,9 +8,7 @@ import pytest
from elasticsearch import Elasticsearch
from langchain.docstore.document import Document
from langchain.document_loaders import TextLoader
from langchain.embeddings import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
@ -45,16 +43,6 @@ class TestElasticsearch:
yield openai_api_key
@pytest.fixture(scope="class")
def documents(self) -> Generator[List[Document], None, None]:
"""Return a generator that yields a list of documents."""
text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
documents = TextLoader(
os.path.join(os.path.dirname(__file__), "fixtures", "sharks.txt")
).load()
yield text_splitter.split_documents(documents)
def test_similarity_search_without_metadata(self, elasticsearch_url: str) -> None:
"""Test end to end construction and search without metadata."""
texts = ["foo", "bar", "baz"]