modules/languages/translator.py

from fastapi import  HTTPException, Request
from modules.languages.models import TranslationRequest
from openai import OpenAI
from dotenv import load_dotenv

load_dotenv()

client = OpenAI()

async def svc_translate_text(request: Request, body: TranslationRequest):
    """
    Translate text from any language (auto-detected) to the target language.
    """
    try:
        prompt = f"""
You are a professional translation engine that performs **literal, direct translations** — not summaries or interpretations.

Your objectives:
1. **Detect the source language and script automatically.**
2. If the source and target languages are the same ({body.target_lang}), return the original text unchanged.
3. Translate **each sentence or line** in a one-to-one manner, preserving structure, order, and approximate length.
4. Do **not infer**, **do not summarize**, and **do not paraphrase** — translate only what is written.
5. Maintain every phrase and symbol; do not omit or merge content.
6. If the input text appears to be **transliterated** (for example, Indic or Dravidian language text written in Latin characters), internally interpret it as its likely original language (e.g., Sanskrit, Tamil, Telugu, etc.) before translating to {body.target_lang}.
7. When the target language uses a non-Latin script, **output in that native script** (not in transliteration).
8. Use the provided context only to resolve ambiguity — never to alter, shorten, or elaborate the meaning.
9. Respond with **only the translated text** — no commentary, explanations, transliterations, or formatting.
10. NEVER return the context back.

Context (for disambiguation only):
{body.context}

Text to translate:
{body.text}
"""



        print(f"prompt = {prompt}")

        response = client.chat.completions.create(
            model="gpt-4o-mini",
            messages=[{"role": "user", "content": prompt}],
            temperature=0.2,
        )

        translation = response.choices[0].message.content.strip()
        return {"translated_text": translation}

    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))