test_search_api.py — langchain Source File
Architecture documentation for test_search_api.py, a python file in the langchain codebase. 4 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR c5bdb159_a507_64c4_3512_f17a98e144d2["test_search_api.py"] 9e98f0a7_ec6e_708f_4f1b_e9428b316e1c["os"] c5bdb159_a507_64c4_3512_f17a98e144d2 --> 9e98f0a7_ec6e_708f_4f1b_e9428b316e1c 120e2591_3e15_b895_72b6_cb26195e40a6["pytest"] c5bdb159_a507_64c4_3512_f17a98e144d2 --> 120e2591_3e15_b895_72b6_cb26195e40a6 c554676d_b731_47b2_a98f_c1c2d537c0aa["langchain_core.documents"] c5bdb159_a507_64c4_3512_f17a98e144d2 --> c554676d_b731_47b2_a98f_c1c2d537c0aa 0a64b352_1be7_5fff_8155_512d479e612f["langchain_perplexity"] c5bdb159_a507_64c4_3512_f17a98e144d2 --> 0a64b352_1be7_5fff_8155_512d479e612f style c5bdb159_a507_64c4_3512_f17a98e144d2 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
"""Integration tests for Perplexity Search API."""
import os
import pytest
from langchain_core.documents import Document
from langchain_perplexity import PerplexitySearchResults, PerplexitySearchRetriever
@pytest.mark.skipif(not os.environ.get("PPLX_API_KEY"), reason="PPLX_API_KEY not set")
class TestPerplexitySearchAPI:
def test_search_retriever_basic(self) -> None:
"""Test basic search with retriever."""
retriever = PerplexitySearchRetriever(k=3)
docs = retriever.invoke("What is the capital of France?")
assert len(docs) > 0
assert isinstance(docs[0], Document)
assert "Paris" in docs[0].page_content
assert docs[0].metadata["title"]
assert docs[0].metadata["url"]
def test_search_retriever_with_filters(self) -> None:
"""Test search with filters."""
# Search for recent news (recency filter)
retriever = PerplexitySearchRetriever(
k=3, search_recency_filter="month", search_domain_filter=["wikipedia.org"]
)
docs = retriever.invoke("Python programming language")
assert len(docs) > 0
for doc in docs:
assert "wikipedia.org" in doc.metadata["url"]
def test_search_tool_basic(self) -> None:
"""Test basic search with tool."""
tool = PerplexitySearchResults(max_results=3)
results = tool.invoke("Who won the 2024 Super Bowl?")
# BaseTool.invoke calls _run. If return_direct is False (default),
# it returns the output of _run, which is a list of dicts.
assert isinstance(results, list)
assert len(results) > 0
assert "title" in results[0]
assert "url" in results[0]
assert "snippet" in results[0]
def test_search_tool_multi_query(self) -> None:
"""Test search tool with multiple queries."""
tool = PerplexitySearchResults(max_results=2)
queries = ["Apple stock price", "Microsoft stock price"]
# Pass input as dict to avoid BaseTool validation error with list
results = tool.invoke({"query": queries})
assert isinstance(results, list)
# Should have results for both (combined)
assert len(results) > 0
Domain
Subdomains
Classes
Dependencies
- langchain_core.documents
- langchain_perplexity
- os
- pytest
Source
Frequently Asked Questions
What does test_search_api.py do?
test_search_api.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, Serialization subdomain.
What does test_search_api.py depend on?
test_search_api.py imports 4 module(s): langchain_core.documents, langchain_perplexity, os, pytest.
Where is test_search_api.py in the architecture?
test_search_api.py is located at libs/partners/perplexity/tests/integration_tests/test_search_api.py (domain: CoreAbstractions, subdomain: Serialization, directory: libs/partners/perplexity/tests/integration_tests).
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