Music Report

L3
ModelContextProtocolFilesystemDesktop

Search and analyze desktop music files to generate a scored recommendation list using specified computation rules and criteria.

Created by Lingjun Chen
2025-08-12
Data ExtractionPattern Analysis

Model Ranking

Click on the dots to view the trajectory of each task run
Model
Run Results
Pass@4
Pass^4
Avg Time
Avg Turns
Input Tokens
Output Tokens
Total Tokens
OpenAI
gpt-5-high
4
/4
618.2s
7.8
26,140
20,030
46,170
OpenAI
gpt-5-low
4
/4
176.6s
6.0
20,255
11,518
31,773
OpenAI
gpt-5-medium
4
/4
172.1s
6.0
21,522
11,624
33,145
OpenAI
gpt-5-mini-high
4
/4
130.8s
8.5
22,773
15,051
37,824
OpenAI
o3
4
/4
62.4s
7.3
20,240
4,620
24,860
Claude
claude-sonnet-4
3
/4
144.5s
6.5
34,405
3,111
37,516
Gemini
gemini-2-5-pro
3
/4
90.7s
10.8
34,505
10,506
45,011
OpenAI
gpt-5-mini-medium
3
/4
71.1s
7.0
21,469
7,075
28,544
OpenAI
gpt-5-nano-low
3
/4
149.1s
11.8
31,460
31,046
62,506
OpenAI
o4-mini
3
/4
65.3s
10.0
20,975
5,050
26,026
Grok
grok-4
2
/4
182.9s
9.0
37,837
8,156
45,993
Claude
claude-sonnet-4-high
1
/4
63.6s
10.8
51,516
3,528
55,044
Claude
claude-sonnet-4-low
1
/4
49.0s
9.3
42,052
2,750
44,802
OpenAI
gpt-5-mini-low
1
/4
24.6s
4.8
11,941
1,500
13,441
Qwen
qwen-3-coder-plus
1
/4
41.4s
10.3
40,357
2,396
42,753
Claude
claude-opus-4-1
0
/1
--
98.9s
8.0
25,612
1,527
27,139
DeepSeek
deepseek-chat
0
/4
103.8s
9.8
33,258
1,289
34,547
Gemini
gemini-2-5-flash
0
/4
41.9s
6.8
17,034
1,349
18,383
Z.ai
glm-4-5
0
/4
161.0s
7.8
20,155
2,175
22,330
OpenAI
gpt-4-1
0
/4
40.1s
8.0
19,406
2,390
21,796
OpenAI
gpt-4-1-mini
0
/4
18.8s
7.0
14,802
681
15,483
OpenAI
gpt-4-1-nano
0
/4
8.5s
2.0
3,085
99
3,184
OpenAI
gpt-5-nano-high
0
/4
294.5s
14.5
46,842
63,165
110,006
OpenAI
gpt-5-nano-medium
0
/4
356.8s
19.3
101,811
73,193
175,004
OpenAI
gpt-oss-120b
0
/4
61.1s
5.0
13,539
1,362
14,901
Grok
grok-code-fast-1
0
/4
28.1s
9.5
38,166
658
42,887
MoonshotAI
kimi-k2-0711
0
/4
76.8s
9.5
27,727
1,197
28,924
MoonshotAI
kimi-k2-0905
0
/4
199.5s
11.5
48,520
2,225
50,746
Qwen
qwen-3-max
0
/4
30.6s
10.0
35,180
975
36,155

Task State

Task Initial State Files
Download ZIP package to view the complete file structure
desktop/ ├── exp_logs/ │ ├── aug/ │ │ └── augmentation_log.txt │ ├── project_1/ │ │ ├── data.csv │ │ ├── model.py │ │ └── README.md │ ├── project_2/ │ │ ├── analysis_report.md │ │ └── data_analysis.py │ ├── sep/ │ │ └── september_summary.csv │ ├── exp_record.md │ ├── experiment_summary.md │ └── results_record.csv ├── learning/ │ ├── 2024/ │ │ └── learning_progress.csv │ ├── 2025/ │ │ └── learning_roadmap.md │ ├── activities/ │ │ └── study_notes.py │ ├── research/ │ │ └── research_topics.md │ ├── schedule/ │ │ └── weekly_schedule.csv │ └── learning_goals.md ├── music/ │ ├── beni/ │ │ └── playlist_manager.py │ ├── jay_chou/ │ │ └── favorite_songs.csv │ ├── jj_lin/ │ │ └── top_songs.txt │ └── music_collection.md ├── old_homebrew/ │ ├── 2023-09-23_22/ │ │ ├── opt/ │ │ └── Users/ │ └── 2023-09-23_23/ │ ├── opt/ │ └── Users/ ├── play/ │ ├── game_plan/ │ │ └── gaming_schedule.md │ ├── hongkong_tour/ │ │ └── travel_itinerary.csv │ ├── kit&shoes_collection/ │ │ └── inventory.py │ └── others/ │ └── entertainment_planner.md └── travel_plan/ ├── travel_bucket_list.md └── travel_calculator.py

Instruction

Please use FileSystem tools to finish the following task:

1. Data Loading

  • Read and extract song information from jay_chou/
  • Read and extract song information from jj_lin/

2. Popularity Score Calculation

For each songs, calculate popularity scores using this formula (keep 3 decimal places):

Plaintext
popularity_score = (rating × 0.4) + (play_count_normalized × 0.4) + (year_factor × 0.2)

Where:
- rating: song rating (1-5 scale)
- play_count_normalized: play_count / 250 (0-1 scale)
- year_factor: (2025 - release_year) / 25 (recency bonus)

3. Generate Analysis Report

Create a file named music_analysis_report.txt

in the music/ folder with the following exact format:

Lines 1-20: Each line contains one song in format songname:popularity_score

  • Sort songs by popularity_score in descending order (highest first)
  • Use exact song names as they appear in the source files
  • Include all 20 songs from both artists

Lines 21-25: Top 5 song names only (one per line)

  • List the top 5 songs by popularity_score
  • No scores, just song names
  • One song name per line

Important: The file must contain exactly 25 lines with no additional content, headers, or formatting.



Verify

*.py
Python
#!/usr/bin/env python3
"""
Verification script for Desktop 2 Music Report Task: Music Collection Analysis
"""

import sys
from pathlib import Path
import os

def get_test_directory() -> Path:
    """Get the test directory from FILESYSTEM_TEST_DIR env var."""
    test_root = os.environ.get("FILESYSTEM_TEST_DIR")
    if not test_root:
        raise ValueError("FILESYSTEM_TEST_DIR environment variable is required")
    return Path(test_root)

# Hardcoded expected data from answer.json
EXPECTED_SONGS = [
    {"song_name": "晴天", "popularity_score": 2.576},
    {"song_name": "七里香", "popularity_score": 2.488},
    {"song_name": "江南", "popularity_score": 2.488},
    {"song_name": "夜曲", "popularity_score": 2.448},
    {"song_name": "一千年以后", "popularity_score": 2.44},
    {"song_name": "稻香", "popularity_score": 2.376},
    {"song_name": "青花瓷", "popularity_score": 2.336},
    {"song_name": "不为谁而作的歌", "popularity_score": 2.32},
    {"song_name": "学不会", "popularity_score": 2.304},
    {"song_name": "小酒窝", "popularity_score": 2.264},
    {"song_name": "可惜没如果", "popularity_score": 2.248},
    {"song_name": "修炼爱情", "popularity_score": 2.24},
    {"song_name": "背对背拥抱", "popularity_score": 2.24},
    {"song_name": "爱笑的眼睛", "popularity_score": 2.232},
    {"song_name": "她说", "popularity_score": 2.216},
    {"song_name": "简单爱", "popularity_score": 1.952},
    {"song_name": "龙卷风", "popularity_score": 1.936},
    {"song_name": "双截棍", "popularity_score": 1.92},
    {"song_name": "可爱女人", "popularity_score": 1.912},
    {"song_name": "星晴", "popularity_score": 1.896}
]

EXPECTED_TOP_5 = ["晴天", "七里香", "江南", "夜曲", "一千年以后"]

def verify_report_file_exists(test_dir: Path) -> bool:
    """Verify that the music_analysis_report.txt file exists."""
    report_file = test_dir / "music" / "music_analysis_report.txt"
    
    if not report_file.exists():
        print("❌ 'music_analysis_report.txt' file not found in music/ folder")
        return False
    
    if not report_file.is_file():
        print("❌ 'music_analysis_report.txt' exists but is not a file")
        return False
    
    print("✅ 'music_analysis_report.txt' file exists")
    return True

def verify_file_content_structure(test_dir: Path) -> bool:
    """Verify that the file has exactly 25 lines."""
    report_file = test_dir / "music" / "music_analysis_report.txt"
    
    try:
        content = report_file.read_text(encoding='utf-8')
        lines = content.strip().split('\n')
        
        if len(lines) != 25:
            print(f"❌ File should have exactly 25 lines, but has {len(lines)}")
            return False
        
        print("✅ File has exactly 25 lines")
        return True
        
    except Exception as e:
        print(f"❌ Error reading file content: {e}")
        return False

def verify_song_ranking_format(test_dir: Path) -> bool:
    """Verify that lines 1-20 contain songs with scores in correct format."""
    report_file = test_dir / "music" / "music_analysis_report.txt"
    
    try:
        content = report_file.read_text(encoding='utf-8')
        lines = content.strip().split('\n')
        
        # Check lines 1-20 (index 0-19)
        for i in range(20):
            line = lines[i].strip()
            if not line:
                print(f"❌ Line {i+1} is empty")
                return False
            
            # Check format: songname:popularity_score
            if ':' not in line:
                print(f"❌ Line {i+1} missing colon separator: '{line}'")
                return False
            
            parts = line.split(':', 1)
            if len(parts) != 2:
                print(f"❌ Line {i+1} has incorrect format: '{line}'")
                return False
            
            song_name, score_str = parts
            
            if not song_name.strip():
                print(f"❌ Line {i+1} has empty song name: '{line}'")
                return False
            
            try:
                score = float(score_str.strip())
                if score < 0 or score > 5:
                    print(f"❌ Line {i+1} has invalid score range: {score}")
                    return False
            except ValueError:
                print(f"❌ Line {i+1} has invalid score format: '{score_str}'")
                return False
        
        print("✅ Lines 1-20 have correct song:score format")
        return True
        
    except Exception as e:
        print(f"❌ Error checking song ranking format: {e}")
        return False

def verify_song_ranking_order_with_tolerance(test_dir: Path) -> bool:
    """Verify that songs are ranked by popularity score in descending order, allowing equal scores to be swapped."""
    report_file = test_dir / "music" / "music_analysis_report.txt"
    
    try:
        content = report_file.read_text(encoding='utf-8')
        lines = content.strip().split('\n')
        
        scores = []
        for i in range(20):
            line = lines[i].strip()
            parts = line.split(':', 1)
            score = float(parts[1].strip())
            scores.append(score)
        
        # Check if scores are in descending order, allowing equal scores to be adjacent
        for i in range(1, len(scores)):
            if scores[i] > scores[i-1]:
                print(f"❌ Scores not in descending order: {scores[i-1]} < {scores[i]} at line {i+1}")
                return False
        
        print("✅ Songs are ranked by popularity score in descending order (allowing equal scores)")
        return True
        
    except Exception as e:
        print(f"❌ Error checking song ranking order: {e}")
        return False

def verify_song_names_match_expected(test_dir: Path) -> bool:
    """Verify that all expected song names are present in the ranking."""
    report_file = test_dir / "music" / "music_analysis_report.txt"
    
    try:
        content = report_file.read_text(encoding='utf-8')
        lines = content.strip().split('\n')
        
        found_songs = []
        for i in range(20):
            line = lines[i].strip()
            song_name = line.split(':', 1)[0].strip()
            found_songs.append(song_name)
        
        # Check if all expected songs are present
        missing_songs = []
        for expected_song in EXPECTED_SONGS:
            if expected_song["song_name"] not in found_songs:
                missing_songs.append(expected_song["song_name"])
        
        if missing_songs:
            print(f"❌ Missing expected songs: {missing_songs}")
            return False
        
        print("✅ All expected song names are present")
        return True
        
    except Exception as e:
        print(f"❌ Error checking song names: {e}")
        return False

def verify_popularity_scores_match_expected(test_dir: Path) -> bool:
    """Verify that popularity scores match the expected values."""
    report_file = test_dir / "music" / "music_analysis_report.txt"
    
    try:
        content = report_file.read_text(encoding='utf-8')
        lines = content.strip().split('\n')
        
        score_errors = []
        for i in range(20):
            line = lines[i].strip()
            parts = line.split(':', 1)
            song_name = parts[0].strip()
            actual_score = float(parts[1].strip())
            
            # Find expected score for this song
            expected_score = None
            for expected_song in EXPECTED_SONGS:
                if expected_song["song_name"] == song_name:
                    expected_score = expected_song["popularity_score"]
                    break
            
            if expected_score is not None:
                # Allow small floating point precision differences
                if abs(actual_score - expected_score) > 0.001:
                    score_errors.append(f"{song_name}: expected {expected_score}, got {actual_score}")
        
        if score_errors:
            print(f"❌ Score mismatches: {score_errors}")
            return False
        
        print("✅ All popularity scores match expected values")
        return True
        
    except Exception as e:
        print(f"❌ Error checking popularity scores: {e}")
        return False

def verify_top_5_songs(test_dir: Path) -> bool:
    """Verify that lines 21-25 contain the top 5 song names, allowing equal scores to be in different order."""
    report_file = test_dir / "music" / "music_analysis_report.txt"
    
    try:
        content = report_file.read_text(encoding='utf-8')
        lines = content.strip().split('\n')
        
        # Check lines 21-25 (index 20-24)
        found_top_5 = []
        for i in range(5):
            line_num = i + 21
            line = lines[i + 20].strip()  # Index 20-24 for lines 21-25
            
            if not line:
                print(f"❌ Line {line_num} is empty")
                return False
            
            if ':' in line:
                print(f"❌ Line {line_num} should not contain colon: '{line}'")
                return False
            
            found_top_5.append(line)
        
        # Check if all expected top 5 songs are present (order doesn't matter for equal scores)
        missing_songs = []
        for expected_song in EXPECTED_TOP_5:
            if expected_song not in found_top_5:
                missing_songs.append(expected_song)
        
        if missing_songs:
            print(f"❌ Missing expected top 5 songs: {missing_songs}")
            return False
        
        # Check if the order is valid (allowing equal scores to be swapped)
        # Since 七里香 and 江南 both have score 2.488, they can be in either order
        valid_orders = [
            ["晴天", "七里香", "江南", "夜曲", "一千年以后"],  # Original order
            ["晴天", "江南", "七里香", "夜曲", "一千年以后"],  # Swapped 七里香 and 江南
        ]
        
        order_valid = False
        for valid_order in valid_orders:
            if found_top_5 == valid_order:
                order_valid = True
                break
        
        if not order_valid:
            print(f"❌ Top 5 songs order is invalid. Found: {found_top_5}")
            print(f"Expected one of: {valid_orders}")
            return False
        
        print("✅ Lines 21-25 contain correct top 5 song names in valid order")
        return True
        
    except Exception as e:
        print(f"❌ Error checking top 5 songs: {e}")
        return False

def verify_no_extra_content(test_dir: Path) -> bool:
    """Verify that the file contains no extra content beyond the 25 lines."""
    report_file = test_dir / "music" / "music_analysis_report.txt"
    
    try:
        content = report_file.read_text(encoding='utf-8')
        lines = content.strip().split('\n')
        
        if len(lines) != 25:
            print(f"❌ File should have exactly 25 lines, but has {len(lines)}")
            return False
        
        print("✅ File contains exactly 25 lines with no extra content")
        return True
        
    except Exception as e:
        print(f"❌ Error checking for extra content: {e}")
        return False

def main():
    """Main verification function."""
    test_dir = get_test_directory()
    print("🔍 Verifying Desktop 2 Music Report Task: Music Collection Analysis...")
    
    # Define verification steps
    verification_steps = [
        ("Report File Exists", verify_report_file_exists),
        ("File Content Structure", verify_file_content_structure),
        ("Song Ranking Format", verify_song_ranking_format),
        ("Song Ranking Order", verify_song_ranking_order_with_tolerance),
        ("Song Names Match Expected", verify_song_names_match_expected),
        ("Popularity Scores Match Expected", verify_popularity_scores_match_expected),
        ("Top 5 Songs", verify_top_5_songs),
        ("No Extra Content", verify_no_extra_content),
    ]
    
    # Run all verification steps
    all_passed = True
    for step_name, verify_func in verification_steps:
        print(f"\n--- {step_name} ---")
        if not verify_func(test_dir):
            all_passed = False
    
    # Final result
    print("\n" + "="*50)
    if all_passed:
        print("✅ Music collection analysis completed correctly!")
        print("🎉 Task verification: PASS")
        sys.exit(0)
    else:
        print("❌ Task verification: FAIL")
        sys.exit(1)

if __name__ == "__main__":
    main()