Delete pipeline/postprocess.py

pipeline/postprocess.py

@@ -1,279 +0,0 @@
-# ─── Post-Processing Engine v9 ─────────────────────────────────────────────────
-
-MIN_DISPLAY     = 1.5
-MAX_DISPLAY     = 7.0
-MERGE_MAX_CHARS = 72
-MAX_GAP         = 1.5
-MAX_LINE_CHARS  = 60    # threshold برای split به دو subtitle جداگانه
-WRAP_CHARS      = 42    # استاندارد Netflix برای wrap به دو خط
-CPS_LIMIT       = 17    # حداکثر کاراکتر قابل‌خواندن در ثانیه - برای تشخیص جمله‌ی «به‌سرعت رد شده»
-
-
-def format_timestamp(seconds: float) -> str:
-    ms = round((seconds % 1) * 1000)
-    s  = int(seconds) % 60
-    m  = int(seconds // 60) % 60
-    h  = int(seconds // 3600)
-    return f"{h:02d}:{m:02d}:{s:02d},{ms:03d}"
-
-
-def merge_segments(segments: list) -> list:
-    if not segments:
-        return []
-
-    merged  = []
-    current = None
-
-    for seg in segments:
-        if current is None:
-            current = {
-                "text":  seg["text"].strip(),
-                "start": seg["start"],
-                "end":   seg["end"],
-                "words": list(seg.get("words", [])),
-                "speaker": seg.get("speaker"),
-            }
-            continue
-
-        gap               = seg["start"] - current["end"]
-        combined_text     = current["text"] + " " + seg["text"].strip()
-        combined_duration = seg["end"] - current["start"]
-        ends_sentence     = current["text"].rstrip().endswith((".", "!", "?"))
-        current_duration  = current["end"] - current["start"]
-        is_short          = current_duration < 1.5
-        same_speaker      = current.get("speaker") is None or current.get("speaker") == seg.get("speaker")
-        too_fast          = (len(current["text"]) / current_duration) > CPS_LIMIT if current_duration > 0 else True
-        fits_dialogue     = len(current["text"]) <= WRAP_CHARS and len(seg["text"].strip()) <= WRAP_CHARS
-        already_dialogue  = current.get("is_dialogue_block", False)
-
-        should_merge = (
-            not ends_sentence
-            and combined_duration <= MAX_DISPLAY
-            and same_speaker
-            and gap <= MAX_GAP
-            and (
-                is_short
-                or len(combined_text) <= MERGE_MAX_CHARS
-            )
-        )
-
-        should_pair_as_dialogue = (
-            not already_dialogue
-            and not same_speaker
-            and too_fast
-            and gap <= MAX_GAP
-            and fits_dialogue
-        )
-
-        if should_merge:
-            current["text"]   = combined_text
-            current["end"]    = seg["end"]
-            current["words"] += list(seg.get("words", []))
-        elif should_pair_as_dialogue:
-            current["text"]   = f"- {current['text']}\n- {seg['text'].strip()}"
-            current["end"]    = seg["end"]
-            current["words"] += list(seg.get("words", []))
-            current["is_dialogue_block"] = True
-        else:
-            merged.append(current)
-            current = {
-                "text":  seg["text"].strip(),
-                "start": seg["start"],
-                "end":   seg["end"],
-                "words": list(seg.get("words", [])),
-                "speaker": seg.get("speaker"),
-            }
-
-    if current:
-        merged.append(current)
-
-    return merged
-
-
-def remove_duplicates(segments: list) -> list:
-    if not segments:
-        return []
-    result = [segments[0]]
-    for seg in segments[1:]:
-        if seg["text"].strip() != result[-1]["text"].strip():
-            result.append(seg)
-    return result
-
-
-def fix_overlaps(segments: list) -> list:
-    fixed = []
-    for seg in segments:
-        seg = dict(seg)
-        if fixed and seg["start"] < fixed[-1]["end"]:
-            seg["start"] = fixed[-1]["end"] + 0.001
-        if seg["start"] >= seg["end"]:
-            seg["end"] = seg["start"] + MIN_DISPLAY
-        fixed.append(seg)
-    return fixed
-
-
-def apply_min_display(segments: list) -> list:
-    result = []
-    for i, seg in enumerate(segments):
-        seg = dict(seg)
-        duration = seg["end"] - seg["start"]
-        if duration < MIN_DISPLAY:
-            if i + 1 < len(segments):
-                next_start = segments[i + 1]["start"]
-                max_end    = next_start - 0.080
-            else:
-                max_end = seg["end"] + MAX_DISPLAY
-            new_end    = seg["start"] + MIN_DISPLAY
-            seg["end"] = min(new_end, max(max_end, seg["end"]))
-        result.append(seg)
-    return result
-
-
-def split_long_segment(seg: dict) -> list:
-    """
-    فقط اگه punctuation نزدیک وسط جمله بود، به دو subtitle جداگانه بشکن.
-    اگه نقطه مناسبی نبود، نشکن — wrap_text در build_srt دو خطش می‌کنه.
-    بلوک‌های دیالوگِ دو-گوینده‌ای (is_dialogue_block) هیچ‌وقت شکسته نمی‌شن.
-    """
-    if seg.get("is_dialogue_block"):
-        return [seg]
-
-    words = seg.get("words", [])
-    text  = seg["text"].strip()
-
-    if len(text) <= MAX_LINE_CHARS or len(words) < 4:
-        return [seg]
-
-    punct_chars = {'.', '!', '?', ',', ';', ':'}
-    sentence_enders = {'.', '!', '?'}
-    # کلمه‌های کوچیک و به‌هم‌چسبیده‌ای که نباید تنها و جدا از کلمه‌ی بعدشون ته یه زیرنویس بمونن
-    weak_endings = {
-        'in', 'my', 'your', 'his', 'her', 'our', 'their', 'its', 'the', 'a', 'an',
-        'of', 'to', 'at', 'on', 'by', 'for', 'with', 'is', 'are', 'was', 'were',
-        'and', 'or', 'but', 'so', 'if', 'that', 'this', 'we', 'you', 'he', 'she', 'they',
-    }
-    min_part_chars = 10
-
-    full_text = text
-    mid_char = len(full_text) / 2
-
-    best_idx = -1
-    best_score = float('-inf')
-    char_pos = 0
-
-    for i, w in enumerate(words):
-        word_stripped = w["word"].strip()
-        this_word_end_char = char_pos + len(word_stripped)
-
-        if word_stripped and word_stripped[-1] in punct_chars and 0 < i < len(words) - 1:
-            # چک درست: خودِ کلمه‌ای که این علامت نگارشی روشه، نباید یه کلمه‌ی ضعیف باشه
-            bare_word = word_stripped.strip(".,!?;:").lower()
-            part1_chars = this_word_end_char
-            part2_chars = len(full_text) - this_word_end_char
-
-            if bare_word not in weak_endings and part1_chars >= min_part_chars and part2_chars >= min_part_chars:
-                dist_from_mid = abs(this_word_end_char - mid_char)
-                proximity_score = 1.0 - (dist_from_mid / len(full_text))
-                sentence_end_bonus = 0.5 if word_stripped[-1] in sentence_enders else 0.0
-                score = proximity_score + sentence_end_bonus
-
-                if score > best_score:
-                    best_score = score
-                    best_idx = i + 1
-
-        char_pos = this_word_end_char + 1
-
-    # هیچ نقطه‌ی شکستن مناسبی پیدا نشد → نشکن، wrap_text کافیه
-    if best_idx == -1:
-        return [seg]
-
-    words1 = words[:best_idx]
-    words2 = words[best_idx:]
-
-    if len(words1) < 2 or len(words2) < 2:
-        return [seg]
-
-    start2 = words2[0]["start"]
-    end1   = max(start2 - 0.080, words1[-1]["end"])
-
-    if end1 - words1[0]["start"] < MIN_DISPLAY:
-        end1 = words1[0]["start"] + MIN_DISPLAY
-        if end1 >= start2:
-            end1 = start2 - 0.040
-
-    seg1 = {
-        "text":  " ".join(w["word"].strip() for w in words1),
-        "start": words1[0]["start"],
-        "end":   end1,
-        "words": words1,
-    }
-    seg2 = {
-        "text":  " ".join(w["word"].strip() for w in words2),
-        "start": start2,
-        "end":   words2[-1]["end"],
-        "words": words2,
-    }
-
-    return split_long_segment(seg1) + split_long_segment(seg2)
-
-
-def wrap_text(text: str) -> str:
-    """اگه متن بیشتر از WRAP_CHARS بود، به دو خط تقسیم کن.
-    اگه متن از قبل یه بلوک دیالوگِ دو-گوینده‌ای (با - و خط جدید) بود، دست‌نخورده برگردون."""
-    if text.startswith("- ") and "\n" in text:
-        return text
-
-    if len(text) <= WRAP_CHARS:
-        return text
-
-    words      = text.split()
-    best_break = -1
-    best_diff  = float('inf')
-    current_len = 0
-
-    for i, word in enumerate(words):
-        current_len += len(word) + (1 if i > 0 else 0)
-        diff = abs(current_len - len(text) / 2)
-        if diff < best_diff:
-            best_diff  = diff
-            best_break = i + 1
-
-    if best_break <= 0 or best_break >= len(words):
-        return text
-
-    line1 = " ".join(words[:best_break])
-    line2 = " ".join(words[best_break:])
-    return f"{line1}\n{line2}"
-
-
-def build_srt(segments: list) -> str:
-    lines = []
-    index = 1
-    for seg in segments:
-        text = seg["text"].strip()
-        if not text:
-            continue
-        start_tc = format_timestamp(seg["start"])
-        end_tc   = format_timestamp(seg["end"])
-        wrapped  = wrap_text(text)
-        lines.append(f"{index}\n{start_tc} --> {end_tc}\n{wrapped}")
-        index += 1
-    return "\n\n".join(lines) + "\n"
-
-
-def process(segments: list) -> str:
-    if not segments:
-        return ""
-
-    merged = merge_segments(segments)
-    merged = remove_duplicates(merged)
-    fixed  = fix_overlaps(merged)
-
-    split = []
-    for seg in fixed:
-        split.extend(split_long_segment(seg))
-
-    split = fix_overlaps(split)
-    final = apply_min_display(split)
-
-    return build_srt(final)