Page Title

import pytest import nlp from nlp import loadPageHTML, stripRawHTML, findOutlinks, onlyWikipediaURLS from nlp import expand_pages, relevant_pages, normalize, ConvergenceDetector, getInlinks from nlp import getOutlinks, Page from nlp import Rules, Lexicon # Clumsy imports because we want to access certain nlp.py globals explicitly, because # they are accessed by function's within nlp.py from unittest.mock import patch from io import BytesIO def test_rules(): assert Rules(A="B C | D E") == {'A': [['B', 'C'], ['D', 'E']]} def test_lexicon(): assert Lexicon(Art="the | a | an") == {'Art': ['the', 'a', 'an']} # ______________________________________________________________________________ # Data Setup testHTML = """Keyword String 1: A man is a male human. Keyword String 2: Like most other male mammals, a man inherits an X from his mom and a Y from his dad. Links: href="https://google.com.au" < href="/wiki/TestThing" > href="/wiki/TestBoy" href="/wiki/TestLiving" href="/wiki/TestMan" >""" testHTML2 = "Nothing" testHTML3 = """ Page Title

AIMA book

""" pA = Page("A", 1, 6, ["B", "C", "E"], ["D"]) pB = Page("B", 2, 5, ["E"], ["A", "C", "D"]) pC = Page("C", 3, 4, ["B", "E"], ["A", "D"]) pD = Page("D", 4, 3, ["A", "B", "C", "E"], []) pE = Page("E", 5, 2, [], ["A", "B", "C", "D", "F"]) pF = Page("F", 6, 1, ["E"], []) pageDict = {pA.address: pA, pB.address: pB, pC.address: pC, pD.address: pD, pE.address: pE, pF.address: pF} nlp.pagesIndex = pageDict nlp.pagesContent ={pA.address: testHTML, pB.address: testHTML2, pC.address: testHTML, pD.address: testHTML2, pE.address: testHTML, pF.address: testHTML2} # This test takes a long time (> 60 secs) # def test_loadPageHTML(): # # first format all the relative URLs with the base URL # addresses = [examplePagesSet[0] + x for x in examplePagesSet[1:]] # loadedPages = loadPageHTML(addresses) # relURLs = ['Ancient_Greek','Ethics','Plato','Theology'] # fullURLs = ["https://en.wikipedia.org/wiki/"+x for x in relURLs] # assert all(x in loadedPages for x in fullURLs) # assert all(loadedPages.get(key,"") != "" for key in addresses) @patch('urllib.request.urlopen', return_value=BytesIO(testHTML3.encode())) def test_stripRawHTML(html_mock): addr = "https://en.wikipedia.org/wiki/Ethics" aPage = loadPageHTML([addr]) someHTML = aPage[addr] strippedHTML = stripRawHTML(someHTML) assert "" not in strippedHTML and "" not in strippedHTML assert "AIMA book" in someHTML and "AIMA book" in strippedHTML def test_determineInlinks(): # TODO assert True def test_findOutlinks_wiki(): testPage = pageDict[pA.address] outlinks = findOutlinks(testPage, handleURLs=onlyWikipediaURLS) assert "https://en.wikipedia.org/wiki/TestThing" in outlinks assert "https://en.wikipedia.org/wiki/TestThing" in outlinks assert "https://google.com.au" not in outlinks # ______________________________________________________________________________ # HITS Helper Functions def test_expand_pages(): pages = {k: pageDict[k] for k in ('F')} pagesTwo = {k: pageDict[k] for k in ('A', 'E')} expanded_pages = expand_pages(pages) assert all(x in expanded_pages for x in ['F', 'E']) assert all(x not in expanded_pages for x in ['A', 'B', 'C', 'D']) expanded_pages = expand_pages(pagesTwo) print(expanded_pages) assert all(x in expanded_pages for x in ['A', 'B', 'C', 'D', 'E', 'F']) def test_relevant_pages(): pages = relevant_pages("male") assert all((x in pages.keys()) for x in ['A', 'C', 'E']) assert all((x not in pages) for x in ['B', 'D', 'F']) def test_normalize(): normalize(pageDict) print(page.hub for addr, page in nlp.pagesIndex.items()) expected_hub = [1/91**0.5, 2/91**0.5, 3/91**0.5, 4/91**0.5, 5/91**0.5, 6/91**0.5] # Works only for sample data above expected_auth = list(reversed(expected_hub)) assert len(expected_hub) == len(expected_auth) == len(nlp.pagesIndex) assert expected_hub == [page.hub for addr, page in sorted(nlp.pagesIndex.items())] assert expected_auth == [page.authority for addr, page in sorted(nlp.pagesIndex.items())] def test_detectConvergence(): # run detectConvergence once to initialise history convergence = ConvergenceDetector() convergence() assert convergence() # values haven't changed so should return True # make tiny increase/decrease to all values for _, page in nlp.pagesIndex.items(): page.hub += 0.0003 page.authority += 0.0004 # retest function with values. Should still return True assert convergence() for _, page in nlp.pagesIndex.items(): page.hub += 3000000 page.authority += 3000000 # retest function with values. Should now return false assert not convergence() def test_getInlinks(): inlnks = getInlinks(pageDict['A']) assert sorted([page.address for page in inlnks]) == pageDict['A'].inlinks def test_getOutlinks(): outlnks = getOutlinks(pageDict['A']) assert sorted([page.address for page in outlnks]) == pageDict['A'].outlinks def test_HITS(): # TODO assert True # leave for now if __name__ == '__main__': pytest.main()