File size: 17,063 Bytes
ca9b2f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
#clean files
removetrash () {
rm *.txt *.temp *.html ; rm -d  -rf *\(temp\)* 
rm A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
}

#clean
removetrash

#get stories
curl "https://www.cyoc.net/interactives/story_index.html" | grep -Po '(?<=href=")[^"]*(?<=/outline.html)[^"]*(?=")' > 01-chapters-00.txt

#data preparatator
A=$(cat "01-chapters-00.txt")
B=$(cat "01-chapters-00.txt" | sed -e 's#.*[a-zA-Z0-9].*# dir=cyoc-outline(temp)#')
C=$(cat "01-chapters-00.txt" | sed -e 's#.*/interactives/# out=#g' -e 's#/outline.html#.html#' )
paste -d'\n' <(echo "$A") <(echo "$B") <(echo "$C") > 01-chapters-01.txt

#dowload file
for i in {1..3}; do :; aria2c -i 01-chapters-01.txt -x1 -j1 --save-session=01-chapters-01.temp ; mv 01-chapters-01.temp 01-chapters-01.txt ; done

#add to archive
zip -j -r -D "cyoc-outline.zip" "cyoc-outline(temp)/"*

#create index
python3 << 'EOF'
import os
import csv
import re
from bs4 import BeautifulSoup
from urllib.parse import urljoin

BASE_URL = "https://www.cyoc.net"

def parse_tree_iterative(root_ul, file_path, base_url=BASE_URL, verbose=False):
    stack = [(root_ul, [], 0)]
    chapters = []

    while stack:
        ul_tag, path, depth = stack.pop()
        for i, li in enumerate(ul_tag.find_all('li', recursive=False)):
            chapter_path = path + [str(i + 1)]
            path_string = "-".join(chapter_path)

            a_tag = li.find('a', recursive=False)
            if a_tag:
                title = a_tag.get_text(strip=True) or "N/A"
                full_url = urljoin(base_url+'/', a_tag.get('href',''))

                li_text = li.get_text(strip=True)
                match = re.search(r'Ch\s*(\d+)', li_text)
                chapter_number = match.group(1) if match else "N/A"

                author_name, author_url = "Anonymous", ""
                author_a_tag = li.find('a', href=re.compile(r'/user_'))
                if author_a_tag:
                    author_name = author_a_tag.get_text(strip=True) or "Anonymous"
                    author_url = urljoin(base_url+'/', author_a_tag.get('href',''))

                chapters.append({
                    'filename': os.path.basename(file_path),
                    'chapter_number': chapter_number,
                    'story_title': title,
                    'history_path': path_string,
                    'url': full_url,
                    'author_name': author_name,
                    'author_url': author_url
                })

            nested_ul = li.find('ul', recursive=False)
            if nested_ul:
                if verbose:
                    print(f"Adding nested <ul> at path {path_string} to stack in {file_path}")
                stack.append((nested_ul, chapter_path, depth+1))

    return chapters

def parse_html_file(file_path, base_url=BASE_URL, verbose=False):
    if verbose:
        print(f"\nParsing file: {file_path}")
    try:
        with open(file_path, 'r', encoding='latin-1') as f:
            html_content = f.read()
    except UnicodeDecodeError as e:
        print(f"[ERROR] Decoding {file_path}: {e}")
        return []

    soup = BeautifulSoup(html_content, 'html.parser')
    subtitle_tag = soup.select_one('.subtitle')
    subtitle_text = subtitle_tag.get_text(strip=True) if subtitle_tag else ""

    root_ul = soup.find('ul', class_='outline') or soup.find('ul', class_='tree')
    if not root_ul:
        if verbose:
            print(f"No list structure found in {file_path}. Skipping.")
        return []

    chapters = parse_tree_iterative(root_ul, file_path, base_url, verbose)

    # Add story number prefix to history_path
    story_number_match = re.search(r'story_(\d+)', file_path)
    story_number = story_number_match.group(1) if story_number_match else "0"

    for row in chapters:
        row['subtitle'] = subtitle_text
        row['history_path'] = f"{story_number}={row['history_path']}"

    if chapters:
        print(f"[LOG] Correctly extracted: {file_path} ({len(chapters)} chapters)")

    return chapters

def process_folder_and_save_tsv(folder_path, output_file, base_url=BASE_URL, verbose=False):
    if not os.path.exists(folder_path):
        print(f"[ERROR] Folder '{folder_path}' does not exist.")
        return

    all_chapter_data = []
    for filename in os.listdir(folder_path):
        if filename.endswith('.html'):
            file_path = os.path.join(folder_path, filename)
            all_chapter_data.extend(parse_html_file(file_path, base_url, verbose))

    if not all_chapter_data:
        print("No chapter data found. TSV file not created.")
        return

    headers = [
        "outline_url",
        "chapter_number",
        "story_title",
        "history_path",
        "chapter_url",
        "author_name",
        "author_url",
        "subtitle"
    ]

    with open(output_file, 'w', newline='', encoding='utf-8') as tsv_file:
        writer = csv.writer(tsv_file, delimiter='\t')
        writer.writerow(headers)
        for row in all_chapter_data:
            base_filename = os.path.splitext(row['filename'])[0]
            new_filename_url = f"http://www.cyoc.net/interactives/{base_filename}/outline.html"
            writer.writerow([
                new_filename_url,
                row['chapter_number'],
                row['story_title'],
                row['history_path'],
                row['url'],
                row['author_name'],
                row['author_url'],
                row['subtitle']
            ])

    print(f"Processing complete. Data for {len(all_chapter_data)} chapters saved to '{output_file}'.")

if __name__ == "__main__":
    folder_to_process = 'cyoc-outline(temp)'
    output_tsv = 'cyoc-outline.tsv'
    process_folder_and_save_tsv(folder_to_process, output_tsv, verbose=True)
EOF

#data extractor
find "cyoc-outline(temp)" -type f  | xargs grep -hoP "(?<=href=\")[^\"]+|(?<=href=')[^']+"| sed -e 's#.*/interactives/#https://www.cyoc.net/interactives/#g' | grep 'chapter_' | sed 's/\.html$//'   | sed 's/$/.html/' >  01-chapters-02.txt
awk '{print $1}' 01-chapters-02.txt cyoc-db.xml cyoc-db.xml | sed 's/^M$//' | sort -f | uniq -ci | sed -n '/ 1 /s/^ *1 //p' | sponge 01-chapters-02.txt

#data preparatator
A=$(cat "01-chapters-02.txt")
B=$(cat "01-chapters-02.txt" | sed -e 's#.*[a-zA-Z0-9].*# dir=story-chapters(temp)#g' )
C=$(cat "01-chapters-02.txt" | sed -e 's#.*interactives/chapter_# out=#g' )
paste -d'\n'  <(echo "$A") <(echo "$B") <(echo "$C") > 01-chapters-03.txt

#dowload file
for i in {1..3}; do :; aria2c -i 01-chapters-03.txt --save-session=01-chapters-03.temp ; mv 01-chapters-03.temp 01-chapters-03.txt ; done

#extract-chapters content
python3 << 'EOF'
import os
import json
from datetime import datetime
import ftfy
import chardet
import re
from bs4 import BeautifulSoup
from tqdm import tqdm

INPUT_FOLDER = 'story-chapters(temp)'
OUTPUT_FILE = 'story-chapters(temp).tsv'
BATCH_SIZE = 5000

# --- Story title replacement dictionary ---
STORY_TITLE_REPLACEMENTS = {
    "story_11": "Welcome to ToonWorld",
    "story_1": "Ty's Power",
    "story_13": "It began when I made her clothes disappear",
    "story_18": "The Arcade",
    "story_20": "The Four Giggling Girls",
    "story_21": "Transform or Dare?",
    "story_24": "Chronivac Version 4.0",
    "story_25": "Altered Fates",
    "story_26": "Pleasure Island",
    "story_27": "Stonewood Male Dormitory",
    "story_29": "The Lightning Strike",
    "story_30": "The Madame Illusia",
    "story_31": "CYOTF",
    "story_33": "Beldazarr, The Djinn of Mind and Body",
    "story_34": "CYOTF (New)",
    "story_37": "The Zoo",
    "story_39": "Spelstorm Manor",
    "story_40": "A Game of Change",
    "story_42": "Transformationet",
    "story_44": "The Ointment Store",
    "story_47": "CYOTF (PG-13)",
    "story_48": "Mad Science",
    "story_50": "CYOTF (Animal)",
    "story_51": "CYOTF (Human)",
    "story_7": "The Vials",
    "story_8": "The Magic Shop"
}

# --- Helper functions ---
def read_and_fix_encoding(path):
    raw = open(path, 'rb').read()
    tried_encodings = ['utf-8', 'windows-1252', 'latin-1']
    for enc in tried_encodings:
        try:
            text = raw.decode(enc)
            return ftfy.fix_text(text)
        except UnicodeDecodeError:
            continue
    det = chardet.detect(raw)
    enc = det.get('encoding', 'utf-8')
    try:
        text = raw.decode(enc)
    except UnicodeDecodeError:
        text = raw.decode(enc, errors='surrogateescape')
    return ftfy.fix_text(text)

def sanitize_json_text(text):
    if not text:
        return ""
    return text.replace('\n', ' ').replace('\r', ' ').replace('\t', ' ')

def clean_url(url):
    """Remove Wayback Machine prefix from URLs if present"""
    if not url:
        return url
    if "web.archive.org" in url and "/http" in url:
        parts = url.split("/", 5)
        if len(parts) >= 6:
            return parts[5]
    return url

# --- Main parsing function using BeautifulSoup ---
def parse_html_to_tsv_row(file_path):
    html_content = read_and_fix_encoding(file_path)
    soup = BeautifulSoup(html_content, 'html.parser')

    # --- Story title ---
    story_title = None
    story_link = soup.select_one('#story-links a[href*="story_"]')
    if story_link:
        m = re.search(r'story_\d+', story_link['href'])
        if m:
            story_title = m.group(0)

    if not story_title:
        story_el = soup.select_one('#toggler-storytitle')
        if story_el:
            story_title = story_el.get_text(strip=True)

    if not story_title:
        story_title = (soup.select_one('div.content .subtitle > div') or
                       soup.select_one('h4.subtitle a'))
        if story_title:
            story_title = story_title.get_text(strip=True)

    if story_title in STORY_TITLE_REPLACEMENTS:
        story_title = STORY_TITLE_REPLACEMENTS[story_title]

    # --- Chapter title ---
    chapter_title_el = soup.select_one('h2.title')
    chapter_title = chapter_title_el.get_text(strip=True) if chapter_title_el else ''
    chapter_title = chapter_title.replace("Go to:First chapterStory outlineRecent chapters", "").strip()

    # --- Timestamp ---
    timestamp = None
    ts_el = soup.select_one('span.chapter-date span.timestamp')
    if ts_el and ts_el.has_attr('title'):
        ts_str = ts_el['title']
        try:
            dt_obj = datetime.strptime(ts_str, '%m/%d/%Y %H:%M')
            timestamp = dt_obj.strftime('%Y-%m-%dT%H:%M:%SZ')
        except:
            timestamp = ts_str
    if not timestamp:
        raw_date = soup.select_one('span.chapter-date')
        if raw_date:
            raw_text = raw_date.get_text(strip=True)
            try:
                dt_obj = datetime.strptime(raw_text, '%m/%d/%y %H:%M')
                timestamp = dt_obj.strftime('%Y-%m-%dT%H:%M:%SZ')
            except:
                timestamp = raw_text

    # --- Author ---
    author_name, author_url = None, None
    author_el = soup.select_one('span.chapter-author a') or soup.select_one('.chapter-author a')
    if author_el:
        author_name = author_el.get_text(strip=True)
        author_url = clean_url(author_el.get('href'))
        if author_url and author_url.startswith("user_"):
            author_url = "https://www.cyoc.net/interactives/" + author_url

    # --- Tags ---
    tags_list = [t.get('title') for t in soup.select('div.chapter-info span.tags a abbr.l') if t.has_attr('title')]
    tags_str = ",".join(sanitize_json_text(t) for t in tags_list)

    # --- Adult content legend ---
    adult_content_legend_list = []
    legend_div = soup.select_one('div.adult-content-info')
    if legend_div:
        legend_text = legend_div.get_text(strip=True)
        if legend_text.startswith('Legend:'):
            items = legend_text.replace('Legend:', '').strip().split(', ')
            adult_content_legend_list = [sanitize_json_text(i) for i in items]
        else:
            imgs = legend_div.select('img[title]')
            adult_content_legend_list = [sanitize_json_text(img['title']) for img in imgs]
    adult_content_legend_str = ",".join(adult_content_legend_list)

    # --- Main text with multiple fallbacks ---
    main_text_el = (soup.select_one('#chapter-text') or
                    (soup.select_one('.chapter-info') and soup.select_one('.chapter-info').find_next('p')) or
                    soup.select_one('p.serif') or
                    soup.select_one('section > .serif') or
                    soup.select_one('div.content p'))
    main_text_html = str(main_text_el) if main_text_el else ''
    main_text_json_str = json.dumps({'html': sanitize_json_text(main_text_html)}, separators=(',', ':'))

    # --- Choices ---
    options_list = []
    choices_blocks = soup.select('ul#subchapters li') or soup.select('ul.subchapter-list li')
    for li in choices_blocks:
        link = li.select_one('a')
        if link:
            option_title = sanitize_json_text(link.get_text(strip=True))
            option_url = clean_url(link.get('href'))
            adult_icon = li.select_one('span.sprite-adult')
            adult_content = adult_icon['title'] if adult_icon and adult_icon.has_attr('title') else "None"
            option_tags = [t['title'] for t in li.select('span.tags a abbr.l') if t.has_attr('title')]
            options_list.append({
                'title': option_title,
                'url': option_url,
                'adult_content': adult_content,
                'tags': [sanitize_json_text(t) for t in option_tags]
            })
    options_json_str = json.dumps(options_list, separators=(',', ':'))

    # --- Suggested options ---
    suggested_list = []
    suggested_blocks = soup.select('ul.subchapter-list.suggested-list li') or soup.select('ul#subchapters li')
    for li in suggested_blocks:
        link = li.select_one('a')
        if link:
            sug_title = sanitize_json_text(link.get_text(strip=True))
            sug_url = clean_url(link.get('href'))
            suggested_list.append({'title': sug_title, 'url': sug_url})
    suggested_json_str = json.dumps(suggested_list, separators=(',', ':'))

    # --- Compose TSV row ---
    chapter_number = os.path.basename(file_path).split('.')[0].split('_')[-1]
    columns = [
        clean_url(f"https://www.cyoc.net/interactives/chapter_{chapter_number}.html"),
        clean_url(f"https://www.cyoc.net/interactives/chapter_{chapter_number}.html"),
        sanitize_json_text(story_title),
        sanitize_json_text(chapter_title),
        timestamp or '',
        sanitize_json_text(author_name),
        author_url or '',
        main_text_json_str,
        options_json_str,
        suggested_json_str,
        tags_str,
        adult_content_legend_str
    ]
    return columns

# --- Process folder in batches ---
def process_folder_in_batches(input_folder, output_file, batch_size=5000):
    html_files = sorted([os.path.join(input_folder, f) for f in os.listdir(input_folder) if f.endswith('.html')])
    total_files = len(html_files)
    print(f"Found {total_files} HTML files to process...")

    buffer = []
    with tqdm(total=total_files, desc="Overall Progress", unit="file") as pbar:
        for idx, html_file in enumerate(html_files, 1):
            try:
                tsv_row = parse_html_to_tsv_row(html_file)
                buffer.append("\t".join(tsv_row))
            except Exception as e:
                print(f"Error processing {html_file}: {e}")

            if idx % batch_size == 0:
                with open(output_file, 'a', encoding='utf-8') as f_out:
                    f_out.write("\n".join(buffer) + "\n")
                buffer = []
            pbar.update(1)

        if buffer:
            with open(output_file, 'a', encoding='utf-8') as f_out:
                f_out.write("\n".join(buffer) + "\n")

# --- Run ---
if __name__ == '__main__':
    if os.path.exists(OUTPUT_FILE):
        os.remove(OUTPUT_FILE)
    process_folder_in_batches(INPUT_FOLDER, OUTPUT_FILE, BATCH_SIZE)
    print(f"\nAll files processed. TSV saved to '{OUTPUT_FILE}'.")
EOF

#index creator
awk -F'\t' '
    NR==FNR {
        # Processing cyoc-outline.tsv first
        if ($5 != "") {
            lookup[$5] = $4
        }
        next
    }
    {
        # Processing save.tsv
        if ($2 in lookup) {
            $2 = lookup[$2]
        }
        print $0
    }
' OFS='\t' "cyoc-outline.tsv" "story-chapters(temp).tsv" | sponge "story-chapters(temp).tsv"

sed -i 's#Binary file (standard input) matches: ##g' cyoc-db.temp
sed -i 's#.*You are not logged in. Log in InteractivesSearch.*##g' cyoc-db.temp
cat cyoc-db.temp >> cyoc-db.xml

#prepare archive
cat  01-chapters-00.txt >>  01-chapters-04.txt
cat  01-chapters-02.txt >>  01-chapters-04.txt

#archive stories
for i in {1..2}; do :; 
while :; do
	for i in {1..3}; do
	read -r url || break 2
	aria2c https://web.archive.org/save/""$url  --user-agent="Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)"   --dry-run  ; sleep 0.10 & 
	echo -e "$url Done [1]\n" & 
	done
wait
done <  01-chapters-04.txt
done

removetrash