"""
Generate realistic typo-based misspellings from words.txt → misspellings.txt

Typo strategies:
  1. Adjacent letter swaps      ("hello" → "hlelo", "helol")
  2. Single character deletion   ("hello" → "hllo", "helo")
  3. Single character duplication ("hello" → "hhello", "heello")
  4. Nearby keyboard key sub     ("hello" → "gello", "jello")

Output format: misspelling=correction (one per line)
"""

import sys
import os
import time

# QWERTY keyboard proximity map
KEYBOARD_NEIGHBORS = {
    'q': 'wa', 'w': 'qeas', 'e': 'wrds', 'r': 'etfs', 't': 'rygs',
    'y': 'tuhs', 'u': 'yijs', 'i': 'uoks', 'o': 'ipls', 'p': 'o',
    'a': 'qwsz', 's': 'awedxz', 'd': 'serfcx', 'f': 'drtgvc',
    'g': 'ftyhbv', 'h': 'gyujnb', 'j': 'huikmn', 'k': 'jiolm',
    'l': 'kop', 'z': 'asx', 'x': 'zsdc', 'c': 'xdfv', 'v': 'cfgb',
    'b': 'vghn', 'n': 'bhjm', 'm': 'njk',
}


def generate_adjacent_swaps(word):
    """Swap each pair of adjacent characters."""
    typos = []
    for i in range(len(word) - 1):
        chars = list(word)
        chars[i], chars[i + 1] = chars[i + 1], chars[i]
        typo = ''.join(chars)
        if typo != word:
            typos.append(typo)
    return typos


def generate_deletions(word):
    """Delete one character at a time."""
    typos = []
    for i in range(len(word)):
        typo = word[:i] + word[i + 1:]
        if len(typo) >= 2:  # keep at least 2 chars
            typos.append(typo)
    return typos


def generate_duplications(word):
    """Duplicate one character at a time."""
    typos = []
    for i in range(len(word)):
        typo = word[:i] + word[i] + word[i:]
        if typo != word:
            typos.append(typo)
    return typos


def generate_nearby_key_subs(word):
    """Replace one character with a nearby keyboard key."""
    typos = []
    lower = word.lower()
    for i in range(len(word)):
        ch = lower[i]
        if ch in KEYBOARD_NEIGHBORS:
            for neighbor in KEYBOARD_NEIGHBORS[ch]:
                typo = lower[:i] + neighbor + lower[i + 1:]
                if typo != lower:
                    typos.append(typo)
    return typos


def generate_all_typos(word):
    """Generate all realistic typo variants for a word."""
    typos = set()
    typos.update(generate_adjacent_swaps(word))
    typos.update(generate_deletions(word))
    typos.update(generate_duplications(word))
    typos.update(generate_nearby_key_subs(word))
    typos.discard(word)   # never map a word to itself
    typos.discard(word.lower())
    return typos


def is_pure_alpha(word):
    """Only process words that are purely alphabetical (a-z)."""
    return word.isalpha()


def main():
    base_dir = os.path.dirname(os.path.abspath(__file__))
    words_path = os.path.join(base_dir, 'data', 'words.txt')
    output_path = os.path.join(base_dir, 'data', 'misspellings.txt')

    if not os.path.exists(words_path):
        print(f"ERROR: {words_path} not found.")
        sys.exit(1)

    # ── Read words ──────────────────────────────────────────────
    print(f"Reading words from: {words_path}")
    with open(words_path, 'r', encoding='utf-8', errors='replace') as f:
        raw_words = [line.strip() for line in f if line.strip()]

    print(f"Total raw entries: {len(raw_words):,}")

    # Filter to pure-alpha words with length >= 3
    words = [w for w in raw_words if is_pure_alpha(w) and len(w) >= 3]
    print(f"Filtered to {len(words):,} alphabetical words (len >= 3)")

    # ── Generate typos ──────────────────────────────────────────
    start = time.time()
    total_typos = 0
    batch_size = 10_000

    print(f"Generating typos → {output_path}")
    print("This may take a few minutes for 466k words...")

    with open(output_path, 'w', encoding='utf-8', newline='\n') as out:
        out.write("# Auto-generated misspellings database\n")
        out.write("# Format: misspelling=correction\n")
        out.write("# Generated by generate_typos.py\n")
        out.write("#\n")
        out.write("# Strategies: adjacent swaps, deletions, duplications, keyboard proximity\n")
        out.write("\n")

        for idx, word in enumerate(words):
            correction = word  # original is the correct form
            typos = generate_all_typos(word.lower())

            for typo in sorted(typos):
                out.write(f"{typo}={correction}\n")
                total_typos += 1

            # Progress reporting
            if (idx + 1) % batch_size == 0:
                elapsed = time.time() - start
                pct = (idx + 1) / len(words) * 100
                rate = (idx + 1) / elapsed if elapsed > 0 else 0
                print(f"  [{pct:5.1f}%] {idx + 1:>7,} / {len(words):,} words  |"
                      f"  {total_typos:>10,} typos  |  {rate:.0f} words/sec")

    elapsed = time.time() - start
    file_size_mb = os.path.getsize(output_path) / (1024 * 1024)

    print()
    print("=" * 60)
    print(f"  Done in {elapsed:.1f}s")
    print(f"  Words processed : {len(words):,}")
    print(f"  Typos generated : {total_typos:,}")
    print(f"  Output file     : {output_path}")
    print(f"  File size       : {file_size_mb:.1f} MB")
    print("=" * 60)


if __name__ == '__main__':
    main()