167 lines
4.3 KiB
Python
167 lines
4.3 KiB
Python
from evanescere.schemas import ClipCandidate
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from evanescere.services.llm import (
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TranscriptChunk,
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candidate_quota_per_chunk,
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dedupe_and_rank_candidates,
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parse_clip_response,
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render_user_prompt,
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)
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def test_parse_clip_response():
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candidates = parse_clip_response(
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"""
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{
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"clips": [
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{
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"start_sec": 10,
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"end_sec": 60,
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"title_zh": "标题",
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"summary_zh": "摘要",
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"reason": "有趣",
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"score": 0.9,
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"tags": ["反应"],
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"subtitle_priority": "high"
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}
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]
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}
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"""
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)
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assert candidates[0].title_zh == "标题"
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def test_parse_clip_response_accepts_candidates_key_and_score_out_of_ten():
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candidates = parse_clip_response(
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"""
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{
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"candidates": [
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{
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"start_sec": 10,
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"end_sec": 60,
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"title_zh": "标题",
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"summary_zh": "摘要",
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"reason": "有趣",
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"score": 8.5,
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"tags": ["反应"],
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"subtitle_priority": "high"
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}
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]
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}
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"""
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)
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assert candidates[0].score == 0.85
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def test_parse_clip_response_normalizes_score_out_of_hundred():
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candidates = parse_clip_response(
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"""
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{
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"clips": [
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{
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"start_sec": 10,
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"end_sec": 60,
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"title_zh": "标题",
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"summary_zh": "摘要",
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"reason": "有趣",
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"score": 92,
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"tags": ["反应"],
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"subtitle_priority": "high"
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}
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]
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}
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"""
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)
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assert candidates[0].score == 0.92
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def test_dedupe_and_rank_candidates_filters_short_and_overlapping():
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candidates = [
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ClipCandidate(
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start_sec=0,
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end_sec=20,
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title_zh="too short",
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summary_zh="",
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reason="",
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score=1,
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),
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ClipCandidate(
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start_sec=0,
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end_sec=60,
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title_zh="best",
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summary_zh="",
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reason="",
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score=0.9,
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),
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ClipCandidate(
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start_sec=10,
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end_sec=65,
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title_zh="overlap",
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summary_zh="",
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reason="",
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score=0.8,
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),
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ClipCandidate(
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start_sec=120,
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end_sec=180,
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title_zh="second",
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summary_zh="",
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reason="",
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score=0.7,
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),
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]
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ranked = dedupe_and_rank_candidates(candidates)
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assert [candidate.title_zh for candidate in ranked] == ["best", "second"]
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def test_candidate_quota_uses_total_budget_across_chunks():
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assert candidate_quota_per_chunk(1, 20) == 20
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assert candidate_quota_per_chunk(4, 20) == 5
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assert candidate_quota_per_chunk(0, 20) == 0
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def test_dedupe_respects_configured_duration_and_total_cap():
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candidates = [
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ClipCandidate(
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start_sec=index * 240,
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end_sec=index * 240 + duration,
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title_zh=f"clip-{index}",
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summary_zh="",
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reason="",
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score=1 - index / 100,
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)
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for index, duration in enumerate([60, 180, 181, 90])
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]
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ranked = dedupe_and_rank_candidates(
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candidates,
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min_clip_seconds=30,
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max_clip_seconds=180,
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max_candidates_total=2,
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)
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assert [candidate.title_zh for candidate in ranked] == ["clip-0", "clip-1"]
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def test_render_user_prompt_inserts_configured_values():
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prompt = render_user_prompt(
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"{max_candidates}|{min_clip_seconds}|{max_clip_seconds}|{chunk_start_sec}|{chunk_end_sec}|{transcript}",
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chunk=TranscriptChunk(12.25, 42.75, "hello"),
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max_candidates=20,
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min_clip_seconds=30,
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max_clip_seconds=180,
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)
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assert prompt == "20|30|180|12.2|42.8|hello"
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def test_render_user_prompt_rejects_unknown_placeholder():
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try:
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render_user_prompt(
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"{unknown}",
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chunk=TranscriptChunk(0, 1, "hello"),
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max_candidates=20,
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min_clip_seconds=30,
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max_clip_seconds=180,
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)
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except ValueError as exc:
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assert "Unknown placeholder" in str(exc)
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else:
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raise AssertionError("Expected unknown placeholder to fail")
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