Contact Information

#!/usr/bin/env python3
"""
Verification script for Contact Information Compilation Task
"""

import sys
from pathlib import Path
import csv
import os
import re

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)

def verify_contact_info_csv_exists(test_dir: Path) -> bool:
    """Verify that the contact_info.csv file exists in the main directory."""
    contact_file = test_dir / "contact_info.csv"
    
    if not contact_file.exists():
        print("❌ File 'contact_info.csv' not found in main directory")
        return False
    
    print("✅ contact_info.csv file found")
    return True

def verify_answer_txt_exists(test_dir: Path) -> bool:
    """Verify that the answer.txt file exists in the main directory."""
    answer_file = test_dir / "answer.txt"
    
    if not answer_file.exists():
        print("❌ File 'answer.txt' not found in main directory")
        return False
    
    print("✅ answer.txt file found")
    return True

def verify_csv_structure(test_dir: Path) -> bool:
    """Verify that the CSV file has the correct structure."""
    contact_file = test_dir / "contact_info.csv"
    
    try:
        with open(contact_file, 'r', encoding='utf-8') as f:
            reader = csv.reader(f)
            rows = list(reader)
            
        if len(rows) < 2:  # Need at least header + 1 data row
            print("❌ CSV file has insufficient rows")
            return False
        
        headers = rows[0]
        if not headers:
            print("❌ CSV file has no headers")
            return False
        
        # Check that Name is the first column
        if headers[0].lower() != 'name':
            print("❌ First column is not 'Name'")
            return False
        
        # Check that Email and Phone are present (order may vary)
        header_lower = [h.lower() for h in headers]
        if 'email' not in header_lower:
            print("❌ 'Email' column not found")
            return False
        
        if 'phone' not in header_lower:
            print("❌ 'Phone' column not found")
            return False
        
        print("✅ CSV structure is correct")
        return True
        
    except Exception as e:
        print(f"❌ Error reading CSV file: {e}")
        return False

def verify_csv_content_accuracy(test_dir: Path) -> bool:
    """Verify that the CSV content contains all required data, regardless of row order or extra entries."""
    contact_file = test_dir / "contact_info.csv"
    
    try:
        with open(contact_file, 'r', encoding='utf-8') as f:
            reader = csv.DictReader(f)
            rows = list(reader)
        
        # Expected data from answer.csv (hardcoded as required)
        expected_data = [
            {"Name": "John Smith", "Email": "john@email.com", "Phone": "555-0101", "Status": "", "Industry": ""},
            {"Name": "Jane Doe", "Email": "jane@email.com", "Phone": "555-0102", "Status": "", "Industry": ""},
            {"Name": "Bob Johnson", "Email": "bob@email.com", "Phone": "555-0103", "Status": "", "Industry": ""},
            {"Name": "Alice Brown", "Email": "alice@email.com", "Phone": "555-0201", "Status": "Inactive", "Industry": ""},
            {"Name": "Charlie Davis", "Email": "charlie@email.com", "Phone": "555-0202", "Status": "Active", "Industry": ""},
            {"Name": "David Wilson", "Email": "david@email.com", "Phone": "555-0203", "Status": "Inactive", "Industry": ""},
            {"Name": "Acme Corp", "Email": "acme@corp.com", "Phone": "", "Status": "", "Industry": "Technology"},
            {"Name": "Global Inc", "Email": "global@inc.com", "Phone": "", "Status": "", "Industry": "Finance"},
            {"Name": "Local Business", "Email": "local@biz.com", "Phone": "", "Status": "", "Industry": "Retail"},
            {"Name": "Spouse", "Email": "", "Phone": "+1-555-0124", "Status": "", "Industry": ""},
            {"Name": "Parent", "Email": "", "Phone": "+1-555-0125", "Status": "", "Industry": ""},
            {"Name": "Sibling", "Email": "", "Phone": "+1-555-0126", "Status": "", "Industry": ""},
            {"Name": "Primary Doctor", "Email": "", "Phone": "+1-555-0201", "Status": "", "Industry": ""},
            {"Name": "Dentist", "Email": "", "Phone": "+1-555-0202", "Status": "", "Industry": ""},
            {"Name": "Pharmacy", "Email": "", "Phone": "+1-555-0203", "Status": "", "Industry": ""}
        ]
        
        # Convert expected data to a dictionary for easier lookup
        # We'll use Name as the key since it should be unique
        expected_dict = {}
        for entry in expected_data:
            expected_dict[entry["Name"]] = entry
        
        # Check each row for accuracy, regardless of order
        # Allow extra entries and mixed content
        found_entries = set()
        extra_entries = []
        
        for i, row in enumerate(rows):
            row_name = row.get('Name', '')
            if not row_name:
                # Skip rows without names (they're not valid entries)
                continue
            
            if row_name in expected_dict:
                # This is one of our expected entries
                if row_name in found_entries:
                    print(f"❌ Duplicate name found: '{row_name}'")
                    return False
                
                found_entries.add(row_name)
                expected = expected_dict[row_name]
                
                # Check all columns for this entry
                for key, expected_value in expected.items():
                    if key in row:
                        actual_value = row[key] if row[key] else ""
                        if actual_value != expected_value:
                            print(f"❌ Entry '{row_name}', column '{key}': expected '{expected_value}', got '{actual_value}'")
                            return False
                    else:
                        print(f"❌ Entry '{row_name}' missing column '{key}'")
                        return False
            else:
                # This is an extra entry - record it for informational purposes
                extra_entries.append(row_name)
        
        # Verify all expected entries were found
        if len(found_entries) != len(expected_data):
            missing = set(expected_dict.keys()) - found_entries
            print(f"❌ Missing entries: {missing}")
            return False
        
        # Report extra entries if any
        if extra_entries:
            print(f"ℹ️  Found {len(extra_entries)} extra entries: {extra_entries}")
        
        print(f"✅ CSV content accuracy verified: found all {len(expected_data)} required entries (plus {len(extra_entries)} extra entries)")
        return True
        
    except Exception as e:
        print(f"❌ Error verifying CSV content: {e}")
        return False

def verify_csv_data_completeness(test_dir: Path) -> bool:
    """Verify that all required data is present and no entries are missing."""
    contact_file = test_dir / "contact_info.csv"
    
    try:
        with open(contact_file, 'r', encoding='utf-8') as f:
            reader = csv.DictReader(f)
            rows = list(reader)
        
        # Check that all expected names are present
        expected_names = [
            "John Smith", "Jane Doe", "Bob Johnson", "Alice Brown", 
            "Charlie Davis", "David Wilson", "Acme Corp", "Global Inc", 
            "Local Business", "Spouse", "Parent", "Sibling", 
            "Primary Doctor", "Dentist", "Pharmacy"
        ]
        
        actual_names = [row.get('Name', '') for row in rows if row.get('Name')]
        
        missing_names = set(expected_names) - set(actual_names)
        if missing_names:
            print(f"❌ Missing names: {missing_names}")
            return False
        
        extra_names = set(actual_names) - set(expected_names)
        if extra_names:
            print(f"⚠️  Extra names found: {extra_names}")
            # This is a warning, not an error
        
        print("✅ CSV data completeness verified")
        return True
        
    except Exception as e:
        print(f"❌ Error checking data completeness: {e}")
        return False

def verify_answer_content(test_dir: Path) -> bool:
    """Verify that the answer.txt contains the correct answer about Charlie Davis."""
    answer_file = test_dir / "answer.txt"
    
    try:
        content = answer_file.read_text().strip().lower()
        
        # The answer should contain "dentist" (as per answer.txt)
        if "dentist" in content:
            print("✅ Answer about Charlie Davis's job is correct")
            return True
        else:
            print(f"❌ Answer does not contain 'dentist'. Found: '{content}'")
            return False
        
    except Exception as e:
        print(f"❌ Error reading answer.txt: {e}")
        return False

def verify_file_locations(test_dir: Path) -> bool:
    """Verify that files are in the correct locations."""
    contact_file = test_dir / "contact_info.csv"
    answer_file = test_dir / "answer.txt"
    
    # Check that files are in the main directory, not in subdirectories
    if contact_file.parent != test_dir:
        print(f"❌ contact_info.csv is not in main directory: {contact_file}")
        return False
    
    if answer_file.parent != test_dir:
        print(f"❌ answer.txt is not in main directory: {answer_file}")
        return False
    
    print("✅ Files are in correct locations")
    return True

def main():
    """Main verification function."""
    test_dir = get_test_directory()
    print("🔍 Verifying Contact Information Compilation Task...")
    
    # Define verification steps
    verification_steps = [
        ("Contact Info CSV Exists", verify_contact_info_csv_exists),
        ("Answer TXT Exists", verify_answer_txt_exists),
        ("Files in Correct Locations", verify_file_locations),
        ("CSV Structure", verify_csv_structure),
        ("CSV Content Accuracy (Flexible)", verify_csv_content_accuracy),
        ("CSV Data Completeness", verify_csv_data_completeness),
        ("Answer Content", verify_answer_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("✅ Contact Information Compilation Task completed successfully!")
        print("🎉 Task verification: PASS")
        sys.exit(0)
    else:
        print("❌ Task verification: FAIL")
        sys.exit(1)

if __name__ == "__main__":
    main()