mirror of
https://github.com/deepset-ai/haystack.git
synced 2025-07-27 10:49:52 +00:00
95 lines
3.7 KiB
Python
95 lines
3.7 KiB
Python
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import json
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from pathlib import Path
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from re import search
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import pytest
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from haystack.connector import Crawler
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def test_crawler_url_none_exception(tmp_path):
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tmp_dir = tmp_path / "crawled_files"
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with pytest.raises(ValueError):
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Crawler(tmp_dir).crawl()
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def test_crawler_depth(tmp_path):
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tmp_dir = tmp_path / "crawled_files"
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_url = ["https://haystack.deepset.ai/docs/v0.9.0/get_startedmd"]
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crawler = Crawler(output_dir=tmp_dir)
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doc_path = crawler.crawl(urls=_url, crawler_depth=0)
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assert len(doc_path) == 1
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_urls = [
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"https://haystack.deepset.ai/docs/v0.9.0/get_startedmd",
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"https://haystack.deepset.ai/docs/v0.8.0/get_startedmd",
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"https://haystack.deepset.ai/docs/v0.7.0/get_startedmd",
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]
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doc_path = crawler.crawl(urls=_urls, crawler_depth=0)
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assert len(doc_path) == 3
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doc_path = crawler.crawl(urls=_url, crawler_depth=1)
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assert len(doc_path) > 1
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for json_file in doc_path:
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assert isinstance(json_file, Path)
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with open(json_file.absolute(), "r") as read_file:
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data = json.load(read_file)
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assert 'text' in data
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assert 'meta' in data
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assert isinstance(data['text'], str)
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assert len(data['text'].split()) > 2
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def test_crawler_filter_urls(tmp_path):
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tmp_dir = tmp_path / "crawled_files"
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_url = ["https://haystack.deepset.ai/docs/v0.8.0/"]
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crawler = Crawler(output_dir=tmp_dir)
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doc_path = crawler.crawl(urls=_url, filter_urls=["haystack\.deepset\.ai\/docs\/v0\.9\.0\/"])
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assert len(doc_path) == 0
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doc_path = crawler.crawl(urls=_url, filter_urls=["haystack\.deepset\.ai\/docs\/v0\.8\.0\/"])
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assert len(doc_path) > 0
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doc_path = crawler.crawl(urls=_url, filter_urls=["google\.com"])
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assert len(doc_path) == 0
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def test_crawler_content(tmp_path):
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tmp_dir = tmp_path / "crawled_files"
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partial_content_match: list = [
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{"url": "https://haystack.deepset.ai/docs/v0.7.0/intromd",
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"partial_content": ["What is Haystack",
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"Utilize all transformer based models",
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"a Retriever-Reader pipeline in order",
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"Passing on only a small candidate set",
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"fast indexing and querying",
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"Fine-tune models to your own domain",
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"smoothly switch when new ones get published"]},
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{"url": "https://haystack.deepset.ai/docs/v0.6.0/use_casesmd",
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"partial_content": ["Semantic Search System",
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"Store your documents in the database of ",
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"results are chosen based on compatibility in",
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"Apply a set of standard questions to each document",
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"Return a NO_ANSWER if a given document",
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"like what is the revenue forecast for 2020?",
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"overview of academic papers and internal business"]}]
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crawler = Crawler(output_dir=tmp_dir)
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for _dict in partial_content_match:
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url: str = _dict['url']
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partial_content: list = _dict['partial_content']
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doc_path = crawler.crawl(urls=[url], crawler_depth=0)
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assert len(doc_path) == 1
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for json_file in doc_path:
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assert isinstance(json_file, Path)
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with open(json_file.absolute(), "r") as read_file:
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content = json.load(read_file)
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assert isinstance(content['text'], str)
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for partial_line in partial_content:
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assert search(partial_line, content['text'])
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assert partial_line in content['text']
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