mirror of
https://github.com/deepset-ai/haystack.git
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834f8c4902
* Change return types of file converters * Change return types of preprocessor * Change return types of crawler * Adapt utils to functions to new return types * Adapt __init__.py to new method names * Prevent circular imports * Update Documentation & Code Style * Let DocStores' run method accept Documents * Adapt tests to new return types * Update Documentation & Code Style * Put "# type: ignore" to right place * Remove id_hash_keys property from Document primitive * Update Documentation & Code Style * Adapt tests to new return types and missing id_hash_keys property * Fix mypy * Fix mypy * Adapt PDFToTextOCRConverter * Remove id_hash_keys from RestAPI tests * Update Documentation & Code Style * Rename tests * Remove redundant setting of content_type="text" * Add DeprecationWarning * Add id_hash_keys to elasticsearch_index_to_document_store * Change document type from dict to Docuemnt in PreProcessor test * Fix file path in Tutorial 5 * Remove added output in Tutorial 5 * Update Documentation & Code Style * Fix file_paths in Tutorial 9 + fix gz files in fetch_archive_from_http * Adapt tutorials to new return types * Adapt tutorial 14 to new return types * Update Documentation & Code Style * Change assertions to HaystackErrors * Import HaystackError correctly Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
124 lines
4.4 KiB
Python
124 lines
4.4 KiB
Python
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.nodes.connector import Crawler
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from haystack.schema import Document
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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/overview/get-started"]
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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/overview/v0.8.0/get-started",
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"https://haystack.deepset.ai/overview/v0.7.0/get-started",
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"https://haystack.deepset.ai/overview/v0.6.0/get-started",
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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 "content" in data
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assert "meta" in data
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assert isinstance(data["content"], str)
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assert len(data["content"].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/overview/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\/overview\/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\/overview\/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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{
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"url": "https://haystack.deepset.ai/overview/v0.7.0/intro",
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"partial_content": [
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"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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],
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},
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{
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"url": "https://haystack.deepset.ai/overview/v0.7.0/use-cases",
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"partial_content": [
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"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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],
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},
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]
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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["content"], str)
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for partial_line in partial_content:
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assert search(partial_line, content["content"])
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assert partial_line in content["content"]
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def test_crawler_return_document(tmp_path):
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tmp_dir = tmp_path / "crawled_files"
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_url = ["https://haystack.deepset.ai/docs/v0.5.0/intromd"]
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crawler = Crawler(output_dir=tmp_dir)
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docs_path = crawler.crawl(urls=_url, crawler_depth=1)
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results, _ = crawler.run(urls=_url, crawler_depth=1, return_documents=True)
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documents = results["documents"]
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for json_file, document in zip(docs_path, documents):
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assert isinstance(json_file, Path)
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assert isinstance(document, Document)
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with open(json_file.absolute(), "r") as read_file:
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file_content = json.load(read_file)
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assert file_content["meta"] == document.meta
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assert file_content["content"] == document.content
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