feat: make default fun level actually surface comedy (#272)
Most users never touch FUN_LEVEL. Default medium was shipping a stats
block but rarely a Best Takes block, and when it did it was below the
cluster fold where a synthesizing model had already stopped reading.
A 2,304-upvote Reddit comment ("WHAT?! I reached my monthly limit
just reading this post") on the 2026-04-17 Opus 4.7 run sat inside
cluster 11 and never made it into synthesis. Four coordinated changes:
1. render: promote Best Takes above the cluster list so the synthesizer
sees comedy before it anchors on cluster 1.
2. render: lower medium threshold from 70 to 55 (heuristic maxes at 80),
drop the two-gem floor to one-gem. Default now reliably emits the
block on typical runs.
3. rerank: score individual top_comments by upvote ratio to their parent
thread. A 2,304-upvote comment on a 300-upvote thread now outranks a
400-upvote comment on a 3,400-upvote thread, which is the viral-wit
signal. Handles both the LLM scoring path and the heuristic fallback.
4. render: merge scored comment gems into Best Takes alongside candidate
gems, sorted together. Comment lines show body + parent title +
r/subreddit or @handle + absolute upvotes.
5. SKILL: tell the synthesizer to quote at least two Best Takes entries
verbatim, with an example of the new comment format.
Plan: docs/plans/2026-04-17-001-feat-default-fun-surfacing-plan.md
🤖 Generated with Claude Opus 4.7 (1M context) via [Claude Code](https://claude.com/claude-code) + Compound Engineering v2.56.1
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
+113
-4
@@ -387,15 +387,124 @@ class RenderBestTakesCompactTests(unittest.TestCase):
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text = render.render_compact(report)
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self.assertNotIn("## Best Takes", text)
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def test_no_best_takes_with_1_high_fun_candidate(self):
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"""No Best Takes section when only 1 candidate above threshold."""
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def test_best_takes_with_1_high_fun_candidate(self):
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"""Best Takes section appears even with only 1 candidate above threshold.
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The single-gem floor means a single viral quote is enough to show the block,
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which is essential for the default medium level on most research topics.
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"""
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candidates = [
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self._make_candidate("c1", fun_score=80),
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self._make_candidate("c2", fun_score=50),
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self._make_candidate("c2", fun_score=40),
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]
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report = self._make_report_with_candidates(candidates)
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text = render.render_compact(report)
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self.assertNotIn("## Best Takes", text)
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self.assertIn("## Best Takes", text)
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self.assertIn("(fun:80)", text)
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def test_best_takes_renders_above_clusters(self):
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"""Best Takes section appears before the Ranked Evidence Clusters header."""
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candidates = [
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self._make_candidate("c1", fun_score=85),
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self._make_candidate("c2", fun_score=75),
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]
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report = self._make_report_with_candidates(candidates)
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text = render.render_compact(report)
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self.assertLess(text.index("## Best Takes"), text.index("## Ranked Evidence Clusters"))
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def test_comment_level_gem_appears_in_best_takes(self):
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"""A high-fun top_comment on a low-fun parent candidate still qualifies."""
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item = schema.SourceItem(
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item_id="item-c1",
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source="reddit",
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title="Post c1",
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body="Body.",
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url="https://reddit.com/r/test/comments/c1/",
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container="test",
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published_at="2026-03-15",
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date_confidence="high",
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engagement={"score": 300, "num_comments": 30},
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metadata={
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"top_comments": [{
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"body": "WHAT?! I reached my monthly limit just reading this post",
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"excerpt": "WHAT?! I reached my monthly limit just reading this post",
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"score": 2304,
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"fun_score": 88.0,
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}],
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},
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)
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candidate = schema.Candidate(
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candidate_id="c1",
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item_id="item-c1",
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source="reddit",
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title="Post c1",
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url="https://reddit.com/r/test/comments/c1/",
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snippet="",
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subquery_labels=["primary"],
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native_ranks={"primary:reddit": 1},
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local_relevance=0.9,
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freshness=90,
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engagement=88,
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source_quality=1.0,
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rrf_score=0.02,
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rerank_score=92,
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final_score=90,
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sources=["reddit"],
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source_items=[item],
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fun_score=35.0, # parent below threshold
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)
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report = self._make_report_with_candidates([candidate])
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text = render.render_compact(report)
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self.assertIn("## Best Takes", text)
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self.assertIn("WHAT?! I reached my monthly limit", text)
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self.assertIn("2,304", text)
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self.assertIn("r/test", text)
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self.assertIn('in "Post c1"', text)
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def test_comment_and_candidate_gems_sorted_by_fun_score(self):
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"""Higher fun score comes first, regardless of whether it's a candidate or a comment."""
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item = schema.SourceItem(
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item_id="item-c1",
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source="reddit",
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title="Post c1",
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body="Body.",
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url="https://reddit.com/r/test/comments/c1/",
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container="test",
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engagement={"score": 100},
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metadata={
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"top_comments": [{
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"body": "higher-ranked comment",
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"score": 800,
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"fun_score": 90.0,
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}],
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},
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)
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comment_candidate = schema.Candidate(
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candidate_id="cc",
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item_id="item-c1",
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source="reddit",
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title="Parent thread title",
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url="https://reddit.com/r/test/comments/c1/",
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snippet="",
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subquery_labels=["primary"],
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native_ranks={"primary:reddit": 1},
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local_relevance=0.9,
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freshness=90,
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engagement=10,
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source_quality=1.0,
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rrf_score=0.02,
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sources=["reddit"],
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source_items=[item],
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fun_score=30.0,
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)
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lower_candidate = self._make_candidate("cl", fun_score=70)
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report = self._make_report_with_candidates([comment_candidate, lower_candidate])
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text = render.render_compact(report)
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comment_pos = text.find("higher-ranked comment")
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lower_pos = text.find("(fun:70)")
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self.assertNotEqual(comment_pos, -1)
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self.assertNotEqual(lower_pos, -1)
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self.assertLess(comment_pos, lower_pos)
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if __name__ == "__main__":
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@@ -9,7 +9,12 @@ SCRIPTS_DIR = Path(__file__).parent.parent / "scripts"
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sys.path.insert(0, str(SCRIPTS_DIR))
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from lib import schema
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from lib.rerank import _apply_single_fun_fallback, _extract_comment_text
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from lib.rerank import (
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_apply_fun_fallback,
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_apply_single_fun_fallback,
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_extract_comment_text,
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_score_comments_per_candidate,
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)
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def _make_candidate(
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@@ -17,10 +22,12 @@ def _make_candidate(
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snippet: str = "",
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engagement: float | None = 0.0,
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top_comments: list[dict] | None = None,
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parent_raw_engagement: int | None = None,
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) -> schema.Candidate:
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"""Build a minimal Candidate with optional source_items carrying top_comments."""
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source_items = []
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if top_comments is not None:
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item_engagement = {"score": parent_raw_engagement} if parent_raw_engagement is not None else {}
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source_items.append(
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schema.SourceItem(
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item_id="si-1",
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@@ -28,6 +35,7 @@ def _make_candidate(
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title=title,
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body="",
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url="https://reddit.com/r/test/1",
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engagement=item_engagement,
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metadata={"top_comments": top_comments},
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)
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)
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@@ -112,6 +120,89 @@ class TestFunFallbackCommentText:
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assert candidate.fun_explanation == "heuristic-fallback"
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class TestScoreCommentsPerCandidate:
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"""Per-comment fun scoring: high-ratio viral comments outrank absolute-high comments on dominant threads."""
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def test_high_ratio_comment_outranks_low_ratio(self):
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"""A 2304-upvote comment on a 300-upvote parent should score higher than
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a 400-upvote comment on a 3400-upvote parent (high ratio = viral wit)."""
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viral = _make_candidate(
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parent_raw_engagement=300,
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top_comments=[{"body": "WHAT?! I reached my monthly limit just reading this post", "score": 2304}],
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)
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average = _make_candidate(
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parent_raw_engagement=3400,
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top_comments=[{"body": "we can't trust benchmarks anymore and need to re-run them", "score": 400}],
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)
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_score_comments_per_candidate(viral)
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_score_comments_per_candidate(average)
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viral_score = viral.source_items[0].metadata["top_comments"][0]["fun_score"]
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average_score = average.source_items[0].metadata["top_comments"][0]["fun_score"]
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assert viral_score > average_score
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def test_2304_upvote_comment_on_small_parent_crosses_medium_threshold(self):
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"""The exact Opus 4.7 case: the comment should score >= 55 (medium threshold)."""
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candidate = _make_candidate(
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parent_raw_engagement=300,
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top_comments=[{
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"body": "WHAT?! I reached my monthly limit just reading this post",
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"score": 2304,
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}],
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)
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_score_comments_per_candidate(candidate)
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comment = candidate.source_items[0].metadata["top_comments"][0]
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assert comment["fun_score"] >= 55.0
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def test_reddit_excerpt_field_also_works(self):
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"""Reddit uses 'excerpt' not 'body'. The scorer must handle that."""
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candidate = _make_candidate(
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parent_raw_engagement=100,
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top_comments=[{"excerpt": "bruh this is gold", "score": 500}],
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)
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_score_comments_per_candidate(candidate)
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comment = candidate.source_items[0].metadata["top_comments"][0]
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assert "fun_score" in comment
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assert comment["fun_score"] > 0
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def test_no_parent_upvotes_does_not_crash(self):
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"""A candidate without parent engagement still scores comments via the absolute-upvote fallback."""
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candidate = _make_candidate(
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parent_raw_engagement=None,
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top_comments=[{"body": "lmao", "score": 200}],
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)
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_score_comments_per_candidate(candidate)
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comment = candidate.source_items[0].metadata["top_comments"][0]
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assert "fun_score" in comment
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def test_malformed_comments_skipped(self):
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"""Non-dict entries and missing-body entries are skipped without raising."""
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candidate = _make_candidate(
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parent_raw_engagement=500,
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top_comments=[
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"not a dict", # malformed, still counts toward the top-3 window
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{"body": "", "score": 10}, # empty body within window
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{"body": "valid", "score": 50}, # valid within window
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],
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)
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_score_comments_per_candidate(candidate)
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comments = candidate.source_items[0].metadata["top_comments"]
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# Only the valid one gets a fun_score
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valid = [c for c in comments if isinstance(c, dict) and c.get("fun_score") is not None]
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assert len(valid) == 1
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assert valid[0]["body"] == "valid"
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def test_score_comments_runs_after_fallback(self):
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"""_apply_fun_fallback wires in comment scoring automatically."""
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candidate = _make_candidate(
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parent_raw_engagement=300,
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top_comments=[{"body": "bro what 😭", "score": 1500}],
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)
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_apply_fun_fallback([candidate])
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comment = candidate.source_items[0].metadata["top_comments"][0]
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assert "fun_score" in comment
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assert candidate.fun_score is not None
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class TestExtractCommentText:
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"""Verify _extract_comment_text handles edge cases."""
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