Upload Tu_Dong_Dien_Tu_21h.py

Tu_Dong_Dien_Tu_21h.py

@@ -0,0 +1,281 @@
+# -*- coding: utf-8 -*-
+"""
+Tu_Dong_Dien_Tu_21h.py - Tiến trình Tự Động Điền Từ & Cập Nhật Từ Điển Độc Lập
+Tự động:
+1. Đọc danh sách từ vựng tiếng Pháp (danh_sach_tu.txt) & tiếng Anh (danh_sach_tu_en.txt).
+2. Tự động sinh trọn bộ 29 trường chuẩn Note Type "(Anki) Template học từ vựng của Admin Phúc [2026]".
+3. Cập nhật vào Anki (qua AnkiConnect hoặc ghi trực tiếp SQLite).
+4. Lưu ngược lại vào bộ từ điển ngoại tuyến (french_dictionary.db & english_dictionary.db).
+5. Tự động đồng bộ lên Hugging Face Cloud (Web Mochi & Dataset).
+"""
+import os
+import sys
+import re
+import json
+import time
+import html
+import random
+import sqlite3
+import unicodedata
+import urllib.request
+import urllib.parse
+from pathlib import Path
+from concurrent.futures import ThreadPoolExecutor
+
+try:
+    sys.stdout.reconfigure(encoding="utf-8")
+    sys.stderr.reconfigure(encoding="utf-8")
+except Exception:
+    pass
+
+BASE_DIR = Path(__file__).parent.resolve()
+FR_TXT = BASE_DIR / "danh_sach_tu.txt"
+EN_TXT = BASE_DIR / "danh_sach_tu_en.txt"
+FR_DB = BASE_DIR / "french_dictionary.db"
+EN_DB = BASE_DIR / "english_dictionary.db"
+
+ANKI_CONNECT_URL = "http://127.0.0.1:8765"
+FIELD_ORDER_29 = [
+    "word", "meaning", "pos", "pronunciation", "explain",
+    "example", "example_translated", "collocation", "synonym", "antonym",
+    "audio_word", "audio_meaning", "audio", "image",
+    "choice_1", "choice_2", "choice_3", "choice_4", "correct_choice",
+    "choice_word_1", "choice_word_2", "choice_word_3", "choice_word_4", "correct_choice_word",
+    "choice_audio_1", "choice_audio_2", "choice_audio_3", "choice_audio_4", "correct_choice_audio"
+]
+
+NOTE_TYPE = "(Anki) Template học từ vựng của Admin Phúc [2026]"
+
+
+def anki_invoke(action, **params):
+    try:
+        req = urllib.request.Request(
+            ANKI_CONNECT_URL,
+            json.dumps({"action": action, "version": 6, "params": params}).encode("utf-8"),
+            headers={"Content-Type": "application/json"}
+        )
+        with urllib.request.urlopen(req, timeout=10) as resp:
+            return json.loads(resp.read().decode("utf-8"))
+    except Exception:
+        return None
+
+
+def translate_text(text, sl="auto", tl="vi"):
+    if not text:
+        return ""
+    try:
+        url = f"https://clients5.google.com/translate_a/t?client=dict-chrome-ex&sl={sl}&tl={tl}&q=" + urllib.parse.quote(text)
+        req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"})
+        with urllib.request.urlopen(req, timeout=8) as r:
+            data = json.loads(r.read().decode("utf-8"))
+            return data[0].strip() if isinstance(data, list) and data else text
+    except Exception:
+        return text
+
+
+def fetch_en_word_data(word):
+    data = {"pos": "noun", "pron": "", "meaning": "", "syn": "N/A", "ant": "N/A"}
+    try:
+        url = "https://api.datamuse.com/words?sp=" + urllib.parse.quote(word) + "&md=dprf&ipa=1&max=1"
+        req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"})
+        with urllib.request.urlopen(req, timeout=6) as r:
+            res = json.loads(r.read().decode("utf-8"))
+            if res:
+                item = res[0]
+                tags = item.get("tags", [])
+                for t in tags:
+                    if t.startswith("ipa_pron:"):
+                        data["pron"] = f"/{t.split(':', 1)[1]}/"
+                    elif t in ("n", "v", "adj", "adv"):
+                        m = {"n": "noun", "v": "verb", "adj": "adjective", "adv": "adverb"}
+                        data["pos"] = m.get(t, "noun")
+                defs = item.get("defs", [])
+                if defs:
+                    data["meaning"] = defs[0].split("\t", 1)[-1].strip()
+    except Exception:
+        pass
+    return data
+
+
+def enrich_and_sync_deck(lang="fr"):
+    deck_name = "french2" if lang == "fr" else "hoc_lom"
+    txt_path = FR_TXT if lang == "fr" else EN_TXT
+    db_path = FR_DB if lang == "fr" else EN_DB
+
+    print(f"\n=======================================================")
+    print(f" [*] ĐANG XỬ LÝ BỘ THẺ: {deck_name.upper()} ({lang.upper()})")
+    print(f"=======================================================")
+
+    if not txt_path.exists():
+        print(f"  [!] Không tìm thấy {txt_path}")
+        return
+
+    lines = [l.strip() for l in txt_path.read_text(encoding="utf-8", errors="ignore").splitlines() if l.strip()]
+    print(f"  -> Tìm thấy {len(lines)} dòng từ vựng trong file text.")
+
+    conn = sqlite3.connect(db_path) if db_path.exists() else None
+    dict_cache = {}
+    if conn:
+        try:
+            for row in conn.execute("SELECT word_key, word, pos, ipa, meanings_json FROM dictionary").fetchall():
+                dict_cache[row[0].lower()] = row
+        except Exception:
+            pass
+
+    processed_count = 0
+    updated_lines = []
+
+    for raw_line in lines:
+        parts = raw_line.split("\t")
+        w = parts[0].strip()
+        if not w:
+            continue
+        w_clean = re.sub(r"\[sound:[^\]]*\]", "", w).strip()
+        w_key = w_clean.lower()
+
+        # Đã có đủ 29 trường
+        if len(parts) >= 25:
+            updated_lines.append(raw_line)
+            continue
+
+        meaning = parts[1].strip() if len(parts) > 1 else ""
+        explain = parts[2].strip() if len(parts) > 2 else ""
+        example = parts[3].strip() if len(parts) > 3 else ""
+        pos = "noun"
+        pron = ""
+        ex_trans = ""
+
+        # Tra trong cơ sở dữ liệu từ điển
+        if w_key in dict_cache:
+            row = dict_cache[w_key]
+            pos = row[2] or "noun"
+            pron = row[3] or ""
+            try:
+                m_list = json.loads(row[4])
+                if m_list and isinstance(m_list, list):
+                    first = m_list[0]
+                    meaning = meaning or first.get("meaning_en") or first.get("meaning") or ""
+                    explain = explain or first.get("meaning") or ""
+                    example = example or first.get("example") or ""
+                    ex_trans = first.get("example_vi") or ""
+            except Exception:
+                pass
+
+        if lang == "en":
+            api_info = fetch_en_word_data(w_clean)
+            pos = pos or api_info["pos"]
+            pron = pron or api_info["pron"]
+            meaning = meaning or api_info["meaning"] or translate_text(w_clean, "en", "en")
+            explain = explain or translate_text(w_clean, "en", "vi")
+            if not example:
+                example = f"The researcher highlighted that {w_clean} plays a pivotal role in modern economic analysis."
+            ex_trans = ex_trans or translate_text(example, "en", "vi")
+        else:
+            meaning = meaning or translate_text(w_clean, "fr", "en")
+            explain = explain or translate_text(w_clean, "fr", "vi")
+            if not example:
+                example = f"Cette étude démontre que {w_clean} est essentiel pour le développement durable."
+            ex_trans = ex_trans or translate_text(example, "fr", "vi")
+
+        collocation = f"significant {w_clean}; focus on {w_clean}; role of {w_clean}" if lang == "en" else f"rôle de {w_clean}; importance de {w_clean}; effet de {w_clean}"
+        synonym = "N/A"
+        antonym = "N/A"
+
+        # Sinh trắc nghiệm 4 lựa chọn
+        distractors_m = ["to alleviate or make less severe", "to examine or scrutinize thoroughly", "to encourage rapid development"] if lang == "en" else ["améliorer les conditions", "favoriser le développement", "examiner attentivement"]
+        m_choices = [meaning] + distractors_m
+        random.shuffle(m_choices)
+        correct_m = str(m_choices.index(meaning) + 1)
+
+        distractors_w = ["mitigate", "foster", "scrutinize"] if lang == "en" else ["développer", "examiner", "maintenir"]
+        w_choices = [w_clean] + distractors_w
+        random.shuffle(w_choices)
+        correct_w = str(w_choices.index(w_clean) + 1)
+
+        full_fields = [
+            w_clean, meaning, pos, pron, explain,
+            example, ex_trans, collocation, synonym, antonym,
+            "", "", "", "",  # 4 trường audio/image đầu
+            m_choices[0], m_choices[1], m_choices[2], m_choices[3], correct_m,
+            w_choices[0], w_choices[1], w_choices[2], w_choices[3], correct_w,
+            "", "", "", "",  # 4 trường choice_audio
+            correct_w        # correct_choice_audio
+        ]
+
+        updated_line = "\t".join(full_fields)
+        updated_lines.append(updated_line)
+        processed_count += 1
+
+        # Cập nhật hoặc thêm mới vào Anki qua AnkiConnect
+        fields_dict = {FIELD_ORDER_29[i]: full_fields[i] for i in range(29)}
+        find_res = anki_invoke("findNotes", query=f'deck:"{deck_name}" "word:{w_clean}"')
+        if find_res and find_res.get("result"):
+            nid = find_res["result"][0]
+            anki_invoke("updateNoteFields", note={"id": nid, "fields": fields_dict})
+        else:
+            anki_invoke("addNote", note={
+                "deckName": deck_name,
+                "modelName": NOTE_TYPE,
+                "fields": fields_dict,
+                "options": {"allowDuplicate": True},
+                "tags": ["auto_filled_21h"]
+            })
+
+        # Lưu vào từ điển SQLite ngoại tuyến
+        if conn:
+            try:
+                m_entry = [{
+                    "word": w_clean,
+                    "level": "C1",
+                    "meaning": explain,
+                    "meaning_en": meaning,
+                    "example": example,
+                    "example_vi": ex_trans,
+                    "collocation": collocation,
+                    "synonym": synonym,
+                    "antonym": antonym
+                }]
+                conn.execute("""
+                    INSERT OR REPLACE INTO dictionary (word_key, word, level, pos, ipa, meanings_json)
+                    VALUES (?, ?, ?, ?, ?, ?)
+                """, (w_key, w_clean, "C1", pos, pron, json.dumps(m_entry, ensure_ascii=False)))
+            except Exception:
+                pass
+
+    if conn:
+        conn.commit()
+        conn.close()
+
+    txt_path.write_text("\n".join(updated_lines) + "\n", encoding="utf-8")
+    print(f"  [+] Đã hoàn tất chuẩn hóa {processed_count} từ mới vào Anki, file text và từ điển ngoại tuyến!")
+
+
+def sync_cloud():
+    print("\n=======================================================")
+    print(" [*] ĐỒNG BỘ 2 CHIỀU LÊN HUGGING FACE CLOUD")
+    print("=======================================================")
+    for script_name in ["Deploy_Va_Dong_Bo_Cloud.py", "Deploy_Va_Dong_Bo_English_Cloud.py"]:
+        p = BASE_DIR / script_name
+        if not p.exists():
+            p = Path(r"C:\Users\ASUS\.gemini\antigravity\scratch\anki_web_server") / script_name
+        if p.exists():
+            try:
+                os.system(f'python "{p}" --skip-media')
+            except Exception as e:
+                print(f"  [!] Lỗi chạy {script_name}: {e}")
+
+
+def main():
+    print("=======================================================")
+    print(" 🚀 BẮT ĐẦU TIẾN TRÌNH TỰ ĐỘNG ĐIỀN TỪ & LƯU TỪ ĐIỂN 21H")
+    print("=======================================================")
+    enrich_and_sync_deck("fr")
+    enrich_and_sync_deck("en")
+    sync_cloud()
+    print("\n=======================================================")
+    print(" ✅ HOÀN THÀNH TOÀN BỘ TIẾN TRÌNH AUTOMATION!")
+    print("=======================================================")
+
+
+if __name__ == "__main__":
+    main()