feat: v3.0.0 - intelligent search, GitHub person/project mode, ELI5, 13+ sources

v3 rewrites the search engine from the ground up: - Intelligent pre-research: resolves X handles, GitHub repos, subreddits, TikTok hashtags, and YouTube channels before searching - GitHub person-mode: PR velocity, top repos by stars, release notes - GitHub project-mode: live star counts, README, releases, top issues - ELI5 mode: plain language synthesis, no jargon - 13+ sources: Reddit, X, YouTube, TikTok, Instagram, HN, Polymarket, GitHub, Threads, Pinterest, Perplexity, Bluesky, Web - Free Reddit comments via public JSON (no API key needed) - Fun judge v2: humor scoring baked into narrative - Cookie consent before browser scanning - 10,000 free ScrapeCreators calls - 1,012 tests Thank you to the community contributors whose issues and PRs shaped v3: @uppinote20 (#143), @zerone0x (#134, #136), @thinkun (#116), @thomasmktong (#124), @fanispoulinakisai-boop (#100), @pejmanjohn (#78), @zl190 (#115), @hnshah (#84, #85, #86) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-08 10:52:23 -07:00
parent 61904b31e3
commit 0a9ff16dfc
397 changed files with 21427 additions and 53106 deletions
@@ -0,0 +1,58 @@
+import sys
+import unittest
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "scripts"))
+
+from lib import entity_extract
+
+
+class TestExtractSubreddits(unittest.TestCase):
+    def test_extracts_primary_subreddit(self):
+        items = [{"subreddit": "r/MachineLearning"}]
+        result = entity_extract._extract_subreddits(items)
+        self.assertIn("MachineLearning", result)
+
+    def test_extracts_subreddit_without_prefix(self):
+        items = [{"subreddit": "localLLaMA"}]
+        result = entity_extract._extract_subreddits(items)
+        self.assertIn("localLLaMA", result)
+
+    def test_extracts_cross_references_from_comment_insights(self):
+        items = [
+            {
+                "subreddit": "technology",
+                "comment_insights": ["check out r/MachineLearning and r/LocalLLaMA for more"],
+            }
+        ]
+        result = entity_extract._extract_subreddits(items)
+        self.assertIn("MachineLearning", result)
+        self.assertIn("LocalLLaMA", result)
+
+    def test_extracts_cross_references_from_top_comments(self):
+        items = [
+            {
+                "subreddit": "AI",
+                "top_comments": [
+                    {"excerpt": "see r/StableDiffusion for image gen stuff"},
+                ],
+            }
+        ]
+        result = entity_extract._extract_subreddits(items)
+        self.assertIn("StableDiffusion", result)
+
+    def test_ranks_by_frequency(self):
+        items = [
+            {"subreddit": "A"},
+            {"subreddit": "A"},
+            {"subreddit": "B"},
+        ]
+        result = entity_extract._extract_subreddits(items)
+        self.assertEqual(result[0], "A")
+
+    def test_empty_items(self):
+        self.assertEqual([], entity_extract._extract_subreddits([]))
+
+
+if __name__ == "__main__":
+    unittest.main()