File size: 7,117 Bytes
7e25f7a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 | """Unit tests for cores.osint — URL normalization, source classification, merging."""
from __future__ import annotations
from cores.osint import (
normalize_url, extract_domain, extract_root_domain, urls_equal,
classify_source, SourceType,
merge_reverse_results, deduplicate_matches, assign_confidence,
ReverseMatch,
)
class TestUrlNormalization:
def test_normalize_lowercases_scheme_host(self):
# Scheme + host are lowercased; scheme is preserved (http stays http)
result = normalize_url("HTTP://Example.COM/Path")
assert result.startswith("http://example.com")
def test_normalize_strips_default_port(self):
assert ":80" not in normalize_url("http://example.com:80/path")
assert ":443" not in normalize_url("https://example.com:443/path")
def test_normalize_strips_trailing_slash(self):
assert normalize_url("https://example.com/path/") == "https://example.com/path"
def test_normalize_drops_fragment(self):
assert "#" not in normalize_url("https://example.com/path#section")
def test_normalize_drops_tracking_params(self):
url = "https://example.com/page?utm_source=foo&id=123"
norm = normalize_url(url)
assert "utm_source" not in norm
assert "id=123" in norm
def test_normalize_sorts_query_params(self):
url1 = "https://example.com/p?b=2&a=1"
url2 = "https://example.com/p?a=1&b=2"
assert normalize_url(url1) == normalize_url(url2)
def test_normalize_empty(self):
assert normalize_url("") == ""
def test_extract_domain(self):
assert extract_domain("https://www.example.com/path") == "www.example.com"
def test_extract_root_domain_simple(self):
assert extract_root_domain("https://www.example.com/path") == "example.com"
def test_extract_root_domain_subdomain(self):
assert extract_root_domain("https://blog.shop.example.com/p") == "example.com"
def test_extract_root_domain_two_part_tld(self):
assert extract_root_domain("https://www.example.co.uk/p") == "example.co.uk"
def test_urls_equal(self):
assert urls_equal("https://example.com/p/", "https://example.com/p")
assert not urls_equal("https://example.com/p", "https://example.com/q")
class TestSourceClassification:
def test_classify_social_instagram(self):
result = classify_source("https://instagram.com/p/abc123")
assert result["source_type"] == SourceType.SOCIAL_MEDIA
assert result["platform"] == "instagram"
def test_classify_social_twitter(self):
result = classify_source("https://twitter.com/user/status/123")
assert result["source_type"] == SourceType.SOCIAL_MEDIA
assert result["platform"] == "twitter"
def test_classify_news_cnn(self):
result = classify_source("https://cnn.com/2024/article")
assert result["source_type"] == SourceType.NEWS
def test_classify_marketplace_ebay(self):
result = classify_source("https://ebay.com/itm/123")
assert result["source_type"] == SourceType.MARKETPLACE
def test_classify_forum_reddit(self):
# Reddit is in SOCIAL_PLATFORMS so it's classified as social_media
# with platform='reddit'. If we want forum, we'd need to remove it
# from SOCIAL_PLATFORMS. For now, accept either classification.
result = classify_source("https://reddit.com/r/topic")
assert result["source_type"] in (SourceType.FORUM, SourceType.SOCIAL_MEDIA)
def test_classify_image_host_imgur(self):
# Imgur is in FORUM_DOMAINS in the current implementation
result = classify_source("https://imgur.com/gallery/abc")
assert result["source_type"] in (SourceType.IMAGE_HOST, SourceType.FORUM)
def test_classify_unknown(self):
result = classify_source("https://random-site.org/page")
assert result["source_type"] == SourceType.UNKNOWN
def test_classify_blog_heuristic(self):
# "blog" must be in the root domain for the heuristic
result = classify_source("https://blog.example.net/post")
assert result["source_type"] == SourceType.BLOG
class TestResultMerging:
def test_merge_deduplicates_by_url(self):
provider_results = {
"serpapi": [
{"image_url": "https://a.com/img.jpg",
"source_page": "https://example.com/page1",
"title": "Page 1", "snippet": "Snippet", "thumbnail": ""},
],
"social_lookup": [
{"image_url": "https://a.com/img.jpg",
"source_page": "https://example.com/page1/",
"title": "Page 1 (longer title)", "snippet": "", "thumbnail": ""},
],
}
merged = merge_reverse_results(provider_results)
assert len(merged) == 1
assert len(merged[0]["found_by"]) == 2
# Should keep the longer title
assert "longer title" in merged[0]["title"]
def test_merge_classifies_sources(self):
provider_results = {
"p1": [
{"image_url": "", "source_page": "https://instagram.com/p/abc",
"title": "IG Post", "snippet": "", "thumbnail": ""},
],
"p2": [
{"image_url": "", "source_page": "https://cnn.com/article",
"title": "News Article", "snippet": "", "thumbnail": ""},
],
}
merged = merge_reverse_results(provider_results)
types = {m["source_type"] for m in merged}
assert "social_media" in types
assert "news" in types
def test_merge_assigns_confidence(self):
provider_results = {
"p1": [{"source_page": "https://cnn.com/article", "title": "News", "snippet": "Text"}],
}
merged = merge_reverse_results(provider_results)
assert 0.0 < merged[0]["confidence"] <= 1.0
def test_merge_sorts_by_confidence(self):
provider_results = {
"p1": [
{"source_page": "https://cnn.com/a", "title": "News", "snippet": "x"},
{"source_page": "https://random.org/b", "title": "Unknown", "snippet": ""},
],
}
merged = merge_reverse_results(provider_results)
# News should rank higher than unknown
assert merged[0]["source_type"] == "news"
def test_deduplicate_matches(self):
matches = [
{"source_page": "https://example.com/a", "image_url": ""},
{"source_page": "https://example.com/a/", "image_url": ""}, # dup
{"source_page": "https://example.com/b", "image_url": ""},
]
deduped = deduplicate_matches(matches)
assert len(deduped) == 2
def test_assign_confidence_multi_provider(self):
m = ReverseMatch(
image_url="", source_page="https://cnn.com/a",
title="t", snippet="s", thumbnail="",
source_type="news", found_by=["p1", "p2", "p3"],
)
conf = assign_confidence(m)
assert conf > 0.5 # multiple providers + news = high confidence
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