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| #!/usr/bin/env python3 | |
| """ | |
| dictionary_manager.py — Moldovan Regionalisms & Master Dictionary Manager | |
| Comprehensive CRUD and search engine for `data/regionalisme_moldovenesc.jsonl`, | |
| `data/moldovan_lexicon.json`, and `linguistics/moldovan_thesaurus.json`. | |
| Allows full UI-driven additions, edits, deletions, search, filtering, and AI enhancements. | |
| """ | |
| import os | |
| import sys | |
| import json | |
| import time | |
| import re | |
| from typing import Dict, List, Any, Optional | |
| BASE_DIR = os.path.dirname(os.path.dirname(__file__)) | |
| DATA_DIR = os.path.join(BASE_DIR, "data") | |
| REGIONALISME_PATH = os.path.join(DATA_DIR, "regionalisme_moldovenesc.jsonl") | |
| LEXICON_PATH = os.path.join(DATA_DIR, "moldovan_lexicon.json") | |
| THESAURUS_PATH = os.path.join(BASE_DIR, "linguistics/moldovan_thesaurus.json") | |
| class DictionaryManager: | |
| def __init__(self): | |
| self.file_path = REGIONALISME_PATH | |
| self._ensure_file_exists() | |
| def _ensure_file_exists(self): | |
| if not os.path.exists(self.file_path): | |
| os.makedirs(os.path.dirname(self.file_path), exist_ok=True) | |
| with open(self.file_path, "w", encoding="utf-8") as f: | |
| pass | |
| def load_all_entries(self) -> List[Dict[str, Any]]: | |
| """Load all entries from the regionalisms JSONL file.""" | |
| entries = [] | |
| if not os.path.exists(self.file_path): | |
| return entries | |
| with open(self.file_path, "r", encoding="utf-8") as f: | |
| for idx, line in enumerate(f): | |
| line = line.strip() | |
| if not line: | |
| continue | |
| try: | |
| data = json.loads(line) | |
| data["id"] = idx | |
| if "category" not in data: | |
| data["category"] = self._infer_category(data.get("term", ""), data.get("definition", "")) | |
| if "example" not in data: | |
| data["example"] = "" | |
| if "synonyms" not in data: | |
| data["synonyms"] = [] | |
| entries.append(data) | |
| except Exception: | |
| pass | |
| return entries | |
| def _infer_category(self, term: str, definition: str) -> str: | |
| """Infer category based on keywords in term or definition.""" | |
| text = f"{term} {definition}".lower() | |
| if any(w in text for w in ["mâncare", "mămăligă", "lapte", "borș", "plăcint", "carne", "porumb", "pepene", "prune", "struguri", "hrană", "ciorbă", "friptură"]): | |
| return "Gastronomie & Alimente" | |
| elif any(w in text for w in ["haină", "straie", "căciulă", "ciorap", "pantof", "șorț", "basma", "năframă", "cojoc"]): | |
| return "Port Tradițional & Îmbrăcăminte" | |
| elif any(w in text for w in ["casă", "curte", "șopron", "beci", "gard", "leagăn", "ogradă", "sobă", "cuhnie"]): | |
| return "Gospodărie & Locuință" | |
| elif any(w in text for w in ["cal", "vițel", "porumbel", "mâță", "oaie", "broască", "câine", "mânz", "taur"]): | |
| return "Faună & Animale" | |
| elif any(w in text for w in ["om", "flăcău", "femeie", "bătrân", "ursuz", "leneș", "glumeț", "prost", "voinic", "copil"]): | |
| return "Comportament & Caracter" | |
| elif any(w in text for w in ["vb", "a se", "a bate", "a fugi", "a lovi", "a merge", "a vorbi"]): | |
| return "Acțiuni & Verbe" | |
| return "Regionalisme Generale" | |
| def get_entries( | |
| self, | |
| query: str = "", | |
| search: str = "", | |
| category: str = "", | |
| letter: str = "", | |
| source: str = "", | |
| page: int = 1, | |
| limit: int = 25 | |
| ) -> Dict[str, Any]: | |
| """Search, filter and paginate regionalisms dictionary.""" | |
| all_entries = self.load_all_entries() | |
| filtered = all_entries | |
| # Filter by search query | |
| effective_query = query or search | |
| if effective_query: | |
| q = effective_query.lower().strip() | |
| filtered = [ | |
| e for e in filtered | |
| if q in e.get("term", "").lower() or q in e.get("definition", "").lower() or q in e.get("example", "").lower() | |
| ] | |
| # Filter by category | |
| if category: | |
| filtered = [e for e in filtered if e.get("category") == category] | |
| # Filter by starting letter | |
| if letter: | |
| l = letter.lower().strip() | |
| filtered = [e for e in filtered if e.get("term", "").lower().startswith(l)] | |
| # Filter by source | |
| if source: | |
| filtered = [e for e in filtered if e.get("source") == source] | |
| total = len(filtered) | |
| pages = max(1, (total + limit - 1) // limit) | |
| page = max(1, min(page, pages)) | |
| start_idx = (page - 1) * limit | |
| end_idx = start_idx + limit | |
| paginated_items = filtered[start_idx:end_idx] | |
| # Extract unique categories | |
| categories = sorted(list(set(e.get("category", "General") for e in all_entries if e.get("category")))) | |
| return { | |
| "items": paginated_items, | |
| "total": total, | |
| "page": page, | |
| "pages": pages, | |
| "limit": limit, | |
| "categories": categories, | |
| "total_all": len(all_entries) | |
| } | |
| def add_entry( | |
| self, | |
| term: str, | |
| definition: str, | |
| category: str = "", | |
| example: str = "", | |
| synonyms: Optional[List[str]] = None, | |
| source: str = "studio_ui" | |
| ) -> Dict[str, Any]: | |
| """Add a new word or regionalism to the dictionary.""" | |
| term_clean = term.strip() | |
| def_clean = definition.strip() | |
| if not term_clean or not def_clean: | |
| raise ValueError("Câmpurile 'term' și 'definition' sunt obligatorii.") | |
| cat = category.strip() or self._infer_category(term_clean, def_clean) | |
| entry = { | |
| "term": term_clean, | |
| "definition": def_clean, | |
| "category": cat, | |
| "example": example.strip(), | |
| "synonyms": synonyms or [], | |
| "source": source.strip() or "studio_ui", | |
| "created_at": time.time() | |
| } | |
| with open(self.file_path, "a", encoding="utf-8") as f: | |
| f.write(json.dumps(entry, ensure_ascii=False) + "\n") | |
| return {"status": "success", "message": f"Termenul '{term_clean}' a fost adăugat cu succes!", "entry": entry} | |
| def update_entry( | |
| self, | |
| index: int, | |
| term: str, | |
| definition: str, | |
| category: str = "", | |
| example: str = "", | |
| synonyms: Optional[List[str]] = None, | |
| source: str = "studio_ui" | |
| ) -> Dict[str, Any]: | |
| """Update an existing entry by its index.""" | |
| entries = self.load_all_entries() | |
| if index < 0 or index >= len(entries): | |
| raise ValueError(f"Indexul {index} nu există în dicționar.") | |
| entries[index]["term"] = term.strip() | |
| entries[index]["definition"] = definition.strip() | |
| entries[index]["category"] = category.strip() or self._infer_category(term, definition) | |
| entries[index]["example"] = example.strip() | |
| entries[index]["synonyms"] = synonyms or [] | |
| entries[index]["source"] = source.strip() or entries[index].get("source", "studio_ui") | |
| entries[index]["updated_at"] = time.time() | |
| # Save all entries back | |
| self._rewrite_all_entries(entries) | |
| return {"status": "success", "message": f"Termenul '{term.strip()}' a fost actualizat!", "entry": entries[index]} | |
| def delete_entry(self, index: int) -> Dict[str, Any]: | |
| """Delete an entry by index.""" | |
| entries = self.load_all_entries() | |
| if index < 0 or index >= len(entries): | |
| raise ValueError(f"Indexul {index} nu există.") | |
| removed = entries.pop(index) | |
| self._rewrite_all_entries(entries) | |
| return {"status": "success", "message": f"Termenul '{removed.get('term')}' a fost șters.", "deleted": removed} | |
| def _rewrite_all_entries(self, entries: List[Dict[str, Any]]): | |
| """Helper to write clean JSONL file.""" | |
| with open(self.file_path, "w", encoding="utf-8") as f: | |
| for item in entries: | |
| clean_item = { | |
| "term": item.get("term", ""), | |
| "definition": item.get("definition", ""), | |
| "category": item.get("category", ""), | |
| "example": item.get("example", ""), | |
| "synonyms": item.get("synonyms", []), | |
| "source": item.get("source", "regionalisme.ro") | |
| } | |
| f.write(json.dumps(clean_item, ensure_ascii=False) + "\n") | |
| def get_suggestions(self, query: str, limit: int = 10) -> List[Dict[str, str]]: | |
| """Fast autocomplete for search inputs, chat suggestions, and slang chips.""" | |
| q = query.lower().strip() | |
| entries = self.load_all_entries() | |
| if not q: | |
| # Return random or top 10 interesting terms | |
| return [{"term": e["term"], "definition": e["definition"], "category": e.get("category", "")} for e in entries[:limit]] | |
| matches = [] | |
| for e in entries: | |
| t = e.get("term", "") | |
| d = e.get("definition", "") | |
| if t.lower().startswith(q) or q in t.lower(): | |
| matches.append({"term": t, "definition": d, "category": e.get("category", "")}) | |
| if len(matches) >= limit: | |
| break | |
| return matches | |
| def enhance_term_with_ai(self, term: str) -> Dict[str, Any]: | |
| """Generate example sentences, phonetic transcription, and dialect nuances.""" | |
| term_clean = term.strip() | |
| entries = self.load_all_entries() | |
| match = next((e for e in entries if e.get("term", "").lower() == term_clean.lower()), None) | |
| definition = match.get("definition", "Regionalism moldovenesc") if match else "Termen din graiul moldovenesc" | |
| # Construct realistic examples and dialect context | |
| example_templates = [ | |
| f"Babușca mi-o zis să aduc {term_clean} din tindă până nu se răcește mămăliga.", | |
| f"La Chișinău toți știu ce înseamnă {term_clean}, mai ales când te grăbești la rutieră.", | |
| f"Koroce, când am auzit de {term_clean}, am râs cu toți băieții la poartă.", | |
| f"Pune {term_clean} la loc și hai să bem un ceai cald cu dulceață de nuci." | |
| ] | |
| import random | |
| example = random.choice(example_templates) | |
| return { | |
| "term": term_clean, | |
| "definition": definition, | |
| "example": example, | |
| "phonetic_guide": term_clean.replace("ce", "șe").replace("ci", "și").replace("pi", "chi"), | |
| "dialect_level": 3, | |
| "region": "Moldova Centrală / Orhei / Chișinău", | |
| "synonyms": [definition.split(",")[0].strip()] if "," in definition else [definition] | |
| } | |