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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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import httpx
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import logging
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import random
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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OLLAMA_URL = "http://192.168.60.110:11434/api/generate"
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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data_sources = {
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"cerita": {
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"Malin Kundang": "Malin Kundang adalah seorang anak dari keluarga miskin yang menjadi kaya raya namun menolak mengakui ibunya, hingga akhirnya dikutuk menjadi batu.",
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"Bawang Merah Bawang Putih": "Bawang Putih adalah gadis baik hati yang diperlakukan buruk oleh ibu dan saudara tirinya, tetapi kebaikannya membuahkan hasil berkat ikan ajaib.",
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"Sangkuriang": "Sangkuriang jatuh cinta pada ibunya, Dayang Sumbi, dan diberi tugas mustahil untuk membangun perahu dalam satu malam. Ia gagal dan akhirnya marah, menendang perahu hingga menjadi Gunung Tangkuban Perahu.",
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"Si Kancil": "Si Kancil dengan kecerdikannya berhasil menipu buaya untuk menyeberangi sungai dengan aman.",
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"Timun Mas": "Seorang ibu tua mendapatkan anak dari biji timun emas. Namun, anak itu harus melarikan diri dari raksasa jahat yang ingin memakannya."
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},
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"pantun": {
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"Pantun Nasihat": "Jalan-jalan ke kota Blitar,\nJangan lupa membeli roti.\nRajin belajar sejak pintar,\nAgar sukses di kemudian hari.",
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"Pantun Jenaka": "Ke pasar beli ikan teri,\nIkan habis tinggal kepala.\nJangan suka mencuri,\nNanti ketahuan malah celaka."
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},
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"puisi": {
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"Puisi Alam": "Langit biru membentang luas,\nBurung-burung terbang bebas.\nAngin sepoi menyapu dedaunan,\nAlam indah penuh kedamaian.",
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"Puisi Persahabatan": "Sahabat sejati selalu ada,\nDalam suka dan dalam duka.\nBersama kita jalani hari,\nMengukir cerita tak terlupa."
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}
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}
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@app.post("/generate/")
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async def generate_text():
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try:
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selected_stories = random.sample(list(data_sources["cerita"].keys()), 3)
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selected_pantun = random.choice(list(data_sources["pantun"].keys()))
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selected_puisi = random.choice(list(data_sources["puisi"].keys()))
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# PROMPT BAGIAN CERITA
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story_prompts = "\n\n".join([
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f"Judul: {story}\nIsi:\n{data_sources['cerita'][story]}"
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for story in selected_stories
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])
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story_prompt_full = f"""
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Kamu adalah asisten pengajar untuk siswa SD kelas 3. Berdasarkan teks cerita di bawah ini, buat soal latihan.
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**Instruksi:**
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- Untuk setiap cerita, buat:
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- 1 soal pilihan ganda (A-D) + jawabannya (Jawaban Benar: X)
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- 1 soal isian + jawabannya (Jawaban Ideal: ...)
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Gunakan format berikut:
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---
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Judul: [judul]
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Isi:
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[isi teks]
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**Soal Pilihan Ganda:**
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1. ...
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A. ...
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B. ...
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C. ...
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D. ...
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Jawaban Benar: X
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**Soal Isian:**
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...
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Jawaban Ideal: ...
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---
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Berikut teks ceritanya:
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{story_prompts}
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"""
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# PROMPT BAGIAN PANTUN & PUISI
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pantun_prompt = f"Judul: {selected_pantun}\nIsi:\n{data_sources['pantun'][selected_pantun]}"
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puisi_prompt = f"Judul: {selected_puisi}\nIsi:\n{data_sources['puisi'][selected_puisi]}"
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pantun_puisi_full = f"""
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Kamu adalah asisten pengajar untuk siswa SD kelas 3. Berdasarkan teks pantun dan puisi di bawah ini, buat soal latihan.
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**Instruksi:**
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- Untuk setiap teks, buat:
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- 1 soal pilihan ganda (A-D) + jawabannya (Jawaban Benar: X)
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- 1 soal isian + jawabannya (Jawaban Ideal: ...)
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Gunakan format berikut:
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---
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Judul: [judul]
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Isi:
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[isi teks]
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**Soal Pilihan Ganda:**
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1. ...
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A. ...
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B. ...
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C. ...
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D. ...
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Jawaban Benar: X
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**Soal Isian:**
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...
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Jawaban Ideal: ...
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---
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Berikut teks pantun dan puisinya:
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{pantun_prompt}
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{puisi_prompt}
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"""
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# Siapkan payload untuk kedua request
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async with httpx.AsyncClient(timeout=300) as client:
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# Request untuk CERITA
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res1 = await client.post(OLLAMA_URL, json={
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"model": "llama3.1:latest",
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"prompt": story_prompt_full,
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"stream": False,
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"options": {
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"num_predict": 2048
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}
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})
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res1.raise_for_status()
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response_story = res1.json().get("response", "").strip()
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# Request untuk PANTUN + PUISI
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res2 = await client.post(OLLAMA_URL, json={
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"model": "llama3.1:latest",
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"prompt": pantun_puisi_full,
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"stream": False,
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"options": {
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"num_predict": 1024
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}
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})
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res2.raise_for_status()
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response_pantun_puisi = res2.json().get("response", "").strip()
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if not response_story or not response_pantun_puisi:
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raise HTTPException(status_code=500, detail="Ollama tidak menghasilkan pertanyaan")
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return {
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"selected_stories": [
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{"title": title, "content": data_sources["cerita"][title]}
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for title in selected_stories
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],
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"selected_pantun": {
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"title": selected_pantun,
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"content": data_sources["pantun"][selected_pantun]
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},
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"selected_puisi": {
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"title": selected_puisi,
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"content": data_sources["puisi"][selected_puisi]
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},
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"generated_questions": response_story + "\n\n" + response_pantun_puisi
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}
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except httpx.HTTPStatusError as e:
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logging.error(f"HTTP error dari Ollama API: {e.response.text}")
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raise HTTPException(status_code=e.response.status_code, detail=e.response.text)
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except Exception as e:
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logging.error(f"Terjadi kesalahan: {str(e)}")
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raise HTTPException(status_code=500, detail="Terjadi kesalahan internal")
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class FeedbackRequest(BaseModel):
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user_answer: str
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expected_answer: str
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@app.post("/generate-feedback/")
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async def generate_feedback(request: FeedbackRequest):
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try:
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prompt = f"""
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Kamu adalah asisten pengajar untuk siswa SD kelas 3. Siswa memberikan jawaban berikut untuk soal isian.
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**Jawaban Siswa:** {request.user_answer.strip()}
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**Jawaban Ideal:** {request.expected_answer.strip()}
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Beri feedback singkat dan membangun, maksimal 2 kalimat. Gunakan bahasa yang mudah dimengerti oleh siswa SD. Jika jawaban siswa salah, berikan petunjuk atau koreksi yang membantu.
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"""
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payload = {
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"model": "llama3.1:latest",
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"prompt": prompt,
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"stream": False
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}
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logging.info("Mengirim permintaan feedback ke Ollama...")
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async with httpx.AsyncClient(timeout=60) as client:
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response = await client.post(OLLAMA_URL, json=payload)
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response.raise_for_status()
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result = response.json()
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feedback = result.get("response", "").strip()
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if not feedback:
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raise HTTPException(status_code=500, detail="Ollama tidak memberikan feedback")
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return {"feedback": feedback}
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except Exception as e:
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logging.error(f"Gagal menghasilkan feedback dari Ollama: {e}")
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raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
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@ -1,342 +0,0 @@
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from fastapi import FastAPI, HTTPException, Request
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.exceptions import RequestValidationError
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from fastapi.responses import JSONResponse
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from fastapi.encoders import jsonable_encoder
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from pydantic import BaseModel
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import logging, hashlib, re
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import httpx
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# Logging
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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app = FastAPI()
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# CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# OLLAMA_URL = "http://167.71.212.60:111/api/generate"
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OLLAMA_URL = "http://labai.polinema.ac.id:11434/api/generate"
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@app.exception_handler(RequestValidationError)
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async def validation_exception_handler(request: Request, exc: RequestValidationError):
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return JSONResponse(
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status_code=422,
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content={"detail": jsonable_encoder(exc.errors()), "body": exc.body},
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)
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class MaterialRequest(BaseModel):
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content: str
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question_type: str # hanya 'multiple_choice' atau 'essay'
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question_count: int = 5
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def potong_konten(text: str, max_chars: int = 5000):
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return text[:max_chars] if len(text) > max_chars else text
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@app.post("/generate-from-material/")
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async def generate_from_material(request: MaterialRequest):
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if request.question_count < 1 or request.question_count > 20:
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raise HTTPException(status_code=400, detail="Jumlah soal harus antara 1-20")
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if request.question_type not in ["multiple_choice", "essay"]:
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raise HTTPException(status_code=400, detail="Jenis soal hanya bisa 'multiple_choice' atau 'essay'")
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mc_count = essay_count = 0
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if request.question_type == "multiple_choice":
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mc_count = request.question_count
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else:
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essay_count = request.question_count
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content_bersih = potong_konten(request.content.strip())
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prompt_generate = f"""
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Buat soal latihan berdasarkan teks materi berikut untuk siswa SD kelas 3.
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**Instruksi:**
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1. Buat total {request.question_count} soal:
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- Pilihan ganda: {mc_count}
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- Isian/essay: {essay_count}
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2. Setiap soal sertakan:
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- Kutipan dari teks (1 kalimat)
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- Pertanyaan
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- Jawaban
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- Bobot default: isi `Bobot: TBD` (nanti akan ditentukan otomatis)
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3. Gunakan bahasa yang sederhana dan sesuai untuk siswa SD kelas 3.
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**Format Output:**
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---
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**Soal Pilihan Ganda:**
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1. Kalimat sumber: "[kutipan]"
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Pertanyaan: [pertanyaan]
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A. ...
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B. ...
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C. ...
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D. ...
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Jawaban: [opsi]
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Bobot: TBD
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**Soal Isian:**
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1. Kalimat sumber: "[kutipan]"
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Pertanyaan: [pertanyaan]
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Jawaban: [jawaban]
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Bobot: TBD
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---
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**Materi:**
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{content_bersih}
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"""
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async with httpx.AsyncClient(timeout=300) as client:
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res = await client.post(OLLAMA_URL, json={
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"model": "gemma3:12b",
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"prompt": prompt_generate,
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"stream": False,
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"options": {"num_predict": 2048}
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})
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res.raise_for_status()
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raw_output = res.json().get("response", "").strip()
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prompt_bobot = f"""
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Tentukan bobot untuk setiap soal berikut berdasarkan kompleksitas:
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**Panduan Penilaian:**
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- Pilihan ganda:
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- 1 = mudah
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- 2 = agak sulit
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- Isian:
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- 3 = sedang
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- 4 = agak sulit
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- 5 = sulit
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Kembalikan soal yang sama, tapi ganti baris "Bobot: TBD" dengan bobot sesuai tingkat kesulitan. Jangan ubah bagian lainnya.
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Soal:
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{raw_output}
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""".strip()
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async with httpx.AsyncClient(timeout=120) as client:
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bobot_res = await client.post(OLLAMA_URL, json={
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"model": "llama3.1:latest",
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"prompt": prompt_bobot,
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"stream": False
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})
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bobot_res.raise_for_status()
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final_output = bobot_res.json().get("response", "").strip()
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return {
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"generated_questions": final_output,
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"question_type": request.question_type,
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"question_count": request.question_count,
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"mc_count": mc_count,
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"essay_count": essay_count
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}
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@app.post("/generate-with-bobot/")
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async def generate_with_bobot(request: MaterialRequest):
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if request.question_count < 1 or request.question_count > 20:
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raise HTTPException(status_code=400, detail="Jumlah soal harus antara 1-20")
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if request.question_type not in ["multiple_choice", "essay"]:
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raise HTTPException(status_code=400, detail="Jenis soal hanya bisa 'multiple_choice' atau 'essay'")
|
|
||||||
|
|
||||||
mc_count = request.question_count if request.question_type == "multiple_choice" else 0
|
|
||||||
essay_count = request.question_count if request.question_type == "essay" else 0
|
|
||||||
|
|
||||||
content_bersih = potong_konten(request.content.strip())
|
|
||||||
|
|
||||||
# Langkah 1: Generate soal mentah dengan Bobot: TBD
|
|
||||||
prompt_generate = f"""
|
|
||||||
Buat soal latihan berdasarkan teks berikut untuk siswa SD kelas 3.
|
|
||||||
|
|
||||||
Instruksi:
|
|
||||||
- Total soal: {request.question_count}
|
|
||||||
- Jenis soal:
|
|
||||||
- Pilihan Ganda: {mc_count}
|
|
||||||
- Isian/Essay: {essay_count}
|
|
||||||
- Setiap soal berisi:
|
|
||||||
- Kalimat sumber
|
|
||||||
- Pertanyaan
|
|
||||||
- Jawaban
|
|
||||||
- Bobot: isi "Bobot: TBD"
|
|
||||||
|
|
||||||
Format:
|
|
||||||
---
|
|
||||||
**Soal Pilihan Ganda:**
|
|
||||||
1. Kalimat sumber: "[kutipan]"
|
|
||||||
Pertanyaan: ...
|
|
||||||
A. ...
|
|
||||||
B. ...
|
|
||||||
C. ...
|
|
||||||
D. ...
|
|
||||||
Jawaban: ...
|
|
||||||
Bobot: TBD
|
|
||||||
|
|
||||||
**Soal Isian:**
|
|
||||||
1. Kalimat sumber: "[kutipan]"
|
|
||||||
Pertanyaan: ...
|
|
||||||
Jawaban: ...
|
|
||||||
Bobot: TBD
|
|
||||||
---
|
|
||||||
|
|
||||||
Teks:
|
|
||||||
{content_bersih}
|
|
||||||
"""
|
|
||||||
|
|
||||||
async with httpx.AsyncClient(timeout=300) as client:
|
|
||||||
res = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt_generate,
|
|
||||||
"stream": False
|
|
||||||
})
|
|
||||||
res.raise_for_status()
|
|
||||||
raw_output = res.json().get("response", "").strip()
|
|
||||||
|
|
||||||
# Langkah 2: Tambahkan bobot
|
|
||||||
prompt_bobot = f"""
|
|
||||||
Tentukan bobot untuk setiap soal berdasarkan kompleksitas.
|
|
||||||
|
|
||||||
Panduan Penilaian:
|
|
||||||
- Pilihan Ganda:
|
|
||||||
- 1 = mudah
|
|
||||||
- 2 = agak sulit
|
|
||||||
- Isian:
|
|
||||||
- 3 = sedang
|
|
||||||
- 4 = agak sulit
|
|
||||||
- 5 = sulit
|
|
||||||
|
|
||||||
Ganti baris "Bobot: TBD" menjadi "Bobot: [1-5]". Jangan ubah bagian lainnya.
|
|
||||||
|
|
||||||
Soal:
|
|
||||||
{raw_output}
|
|
||||||
"""
|
|
||||||
|
|
||||||
async with httpx.AsyncClient(timeout=180) as client:
|
|
||||||
res_bobot = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt_bobot,
|
|
||||||
"stream": False
|
|
||||||
})
|
|
||||||
res_bobot.raise_for_status()
|
|
||||||
final_output = res_bobot.json().get("response", "").strip()
|
|
||||||
|
|
||||||
return {
|
|
||||||
"generated_questions": final_output,
|
|
||||||
"question_type": request.question_type,
|
|
||||||
"question_count": request.question_count,
|
|
||||||
"mc_count": mc_count,
|
|
||||||
"essay_count": essay_count
|
|
||||||
}
|
|
||||||
|
|
||||||
class GenerateQuestionsRequest(BaseModel):
|
|
||||||
content: str
|
|
||||||
question_count: int
|
|
||||||
question_type: str # 'multiple_choice', 'essay', atau 'both'
|
|
||||||
with_bobot: bool = True
|
|
||||||
|
|
||||||
@app.post("/generate-questions/")
|
|
||||||
async def generate_questions(request: GenerateQuestionsRequest):
|
|
||||||
mc_count = essay_count = 0
|
|
||||||
if request.question_type == "multiple_choice":
|
|
||||||
mc_count = request.question_count
|
|
||||||
elif request.question_type == "essay":
|
|
||||||
essay_count = request.question_count
|
|
||||||
else:
|
|
||||||
raise HTTPException(status_code=400, detail="Jenis soal tidak valid.")
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Buat soal dari teks berikut untuk siswa SD kelas 3.
|
|
||||||
Jumlah soal: {request.question_count}
|
|
||||||
- Pilihan Ganda: {mc_count}
|
|
||||||
- Isian: {essay_count}
|
|
||||||
|
|
||||||
Setiap soal sertakan:
|
|
||||||
- Kalimat sumber
|
|
||||||
- Pertanyaan
|
|
||||||
- Jawaban
|
|
||||||
- Bobot: TBD
|
|
||||||
|
|
||||||
Format:
|
|
||||||
...
|
|
||||||
Teks:
|
|
||||||
{potong_konten(request.content)}
|
|
||||||
""".strip()
|
|
||||||
|
|
||||||
async with httpx.AsyncClient(timeout=300) as client:
|
|
||||||
result = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt,
|
|
||||||
"stream": False
|
|
||||||
})
|
|
||||||
result.raise_for_status()
|
|
||||||
output = result.json().get("response", "").strip()
|
|
||||||
|
|
||||||
if not request.with_bobot:
|
|
||||||
return {
|
|
||||||
"generated_questions": output,
|
|
||||||
"mc_count": mc_count,
|
|
||||||
"essay_count": essay_count
|
|
||||||
}
|
|
||||||
|
|
||||||
# Tambah bobot
|
|
||||||
prompt_bobot = f"""
|
|
||||||
Tentukan bobot soal berdasarkan kompleksitas. Ganti 'Bobot: TBD' dengan angka 1-5 sesuai panduan. Jangan ubah bagian lainnya.
|
|
||||||
|
|
||||||
Soal:
|
|
||||||
{output}
|
|
||||||
"""
|
|
||||||
async with httpx.AsyncClient(timeout=180) as client:
|
|
||||||
bobot_result = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt_bobot,
|
|
||||||
"stream": False
|
|
||||||
})
|
|
||||||
bobot_result.raise_for_status()
|
|
||||||
final_output = bobot_result.json().get("response", "").strip()
|
|
||||||
|
|
||||||
return {
|
|
||||||
"generated_questions": final_output,
|
|
||||||
"mc_count": mc_count,
|
|
||||||
"essay_count": essay_count
|
|
||||||
}
|
|
||||||
|
|
||||||
class FeedbackRequest(BaseModel):
|
|
||||||
user_answer: str
|
|
||||||
expected_answer: str
|
|
||||||
|
|
||||||
feedback_cache = {}
|
|
||||||
|
|
||||||
@app.post("/generate-feedback/")
|
|
||||||
async def generate_feedback(request: FeedbackRequest):
|
|
||||||
user_answer = request.user_answer.strip()
|
|
||||||
expected_answer = request.expected_answer.strip()
|
|
||||||
prompt_hash = hashlib.sha256(f"{user_answer}|{expected_answer}".encode()).hexdigest()
|
|
||||||
|
|
||||||
if prompt_hash in feedback_cache:
|
|
||||||
return {"feedback": feedback_cache[prompt_hash]}
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Kamu adalah asisten pengajar SD kelas 3. Siswa memberikan jawaban berikut.
|
|
||||||
|
|
||||||
**Jawaban Siswa:** {user_answer}
|
|
||||||
**Jawaban Ideal:** {expected_answer}
|
|
||||||
|
|
||||||
Beri feedback singkat dan membangun, maksimal 2 kalimat, dengan bahasa mudah dipahami.
|
|
||||||
"""
|
|
||||||
|
|
||||||
async with httpx.AsyncClient(timeout=120) as client:
|
|
||||||
response = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt,
|
|
||||||
"stream": False
|
|
||||||
})
|
|
||||||
|
|
||||||
response.raise_for_status()
|
|
||||||
feedback = response.json().get("response", "").strip()
|
|
||||||
feedback_cache[prompt_hash] = feedback
|
|
||||||
return {"feedback": feedback}
|
|
||||||
|
|
@ -1,164 +0,0 @@
|
||||||
from fastapi import FastAPI, HTTPException, Request
|
|
||||||
from fastapi.middleware.cors import CORSMiddleware
|
|
||||||
from fastapi.exceptions import RequestValidationError
|
|
||||||
from fastapi.responses import JSONResponse
|
|
||||||
from fastapi.encoders import jsonable_encoder
|
|
||||||
from pydantic import BaseModel
|
|
||||||
import logging, hashlib
|
|
||||||
from groq import Groq
|
|
||||||
|
|
||||||
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
|
|
||||||
|
|
||||||
app = FastAPI()
|
|
||||||
|
|
||||||
app.add_middleware(
|
|
||||||
CORSMiddleware,
|
|
||||||
allow_origins=["*"],
|
|
||||||
allow_credentials=True,
|
|
||||||
allow_methods=["*"],
|
|
||||||
allow_headers=["*"],
|
|
||||||
)
|
|
||||||
|
|
||||||
client = Groq(api_key="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")
|
|
||||||
|
|
||||||
@app.exception_handler(RequestValidationError)
|
|
||||||
async def validation_exception_handler(request: Request, exc: RequestValidationError):
|
|
||||||
logging.error(f"Validation error: {exc}")
|
|
||||||
return JSONResponse(
|
|
||||||
status_code=422,
|
|
||||||
content={"detail": jsonable_encoder(exc.errors()), "body": exc.body},
|
|
||||||
)
|
|
||||||
|
|
||||||
class MaterialRequest(BaseModel):
|
|
||||||
content: str
|
|
||||||
question_type: str = "multiple_choice"
|
|
||||||
question_count: int = 5
|
|
||||||
|
|
||||||
def potong_konten(text: str, max_chars: int = 5000):
|
|
||||||
if len(text) > max_chars:
|
|
||||||
logging.warning(f"Teks terlalu panjang ({len(text)} karakter), dipotong jadi {max_chars}")
|
|
||||||
return text[:max_chars]
|
|
||||||
return text
|
|
||||||
|
|
||||||
@app.post("/generate-from-material/")
|
|
||||||
async def generate_from_material(request: MaterialRequest):
|
|
||||||
try:
|
|
||||||
if request.question_count < 1 or request.question_count > 20:
|
|
||||||
raise HTTPException(status_code=400, detail="Jumlah soal harus antara 1-20")
|
|
||||||
|
|
||||||
if request.question_type not in ["multiple_choice", "essay"]:
|
|
||||||
raise HTTPException(status_code=400, detail="Jenis soal tidak valid. Pilih: multiple_choice atau essay")
|
|
||||||
|
|
||||||
content_bersih = potong_konten(request.content.strip())
|
|
||||||
|
|
||||||
mc_count = request.question_count if request.question_type == "multiple_choice" else 0
|
|
||||||
essay_count = request.question_count if request.question_type == "essay" else 0
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Buat soal latihan berdasarkan teks materi berikut untuk siswa SD kelas 3.
|
|
||||||
|
|
||||||
**Instruksi:**
|
|
||||||
1. Buat total {request.question_count} soal dengan rincian:
|
|
||||||
- Soal pilihan ganda: {mc_count}
|
|
||||||
- Soal isian/essay: {essay_count}
|
|
||||||
2. Setiap soal harus disertai:
|
|
||||||
- Kutipan 1 kalimat dari teks materi sebagai dasar soal
|
|
||||||
- Jawaban
|
|
||||||
- ✅ Bobot soal antara:
|
|
||||||
- 1-2 untuk soal pilihan ganda
|
|
||||||
- 3-5 untuk soal isian/essay
|
|
||||||
- Gunakan penilaian kompleksitas soal untuk menentukan bobotnya
|
|
||||||
3. Gunakan bahasa yang sederhana dan sesuai untuk siswa SD kelas 3.
|
|
||||||
4. Jangan menambahkan informasi di luar materi.
|
|
||||||
|
|
||||||
**Format Output:**
|
|
||||||
---
|
|
||||||
**Soal Pilihan Ganda:**
|
|
||||||
1. Kalimat sumber: "[kutipan kalimat dari teks]"
|
|
||||||
Pertanyaan: [Pertanyaan]
|
|
||||||
A. [Opsi A]
|
|
||||||
B. [Opsi B]
|
|
||||||
C. [Opsi C]
|
|
||||||
D. [Opsi D]
|
|
||||||
Jawaban: [Huruf Opsi]
|
|
||||||
Bobot: [1 atau 2]
|
|
||||||
|
|
||||||
**Soal Isian:**
|
|
||||||
1. Kalimat sumber: "[kutipan kalimat dari teks]"
|
|
||||||
Pertanyaan: [Pertanyaan]
|
|
||||||
Jawaban: [Jawaban]
|
|
||||||
Bobot: [3 - 5]
|
|
||||||
---
|
|
||||||
|
|
||||||
**Materi:**
|
|
||||||
{content_bersih}
|
|
||||||
""".strip()
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt ke Groq...")
|
|
||||||
|
|
||||||
completion = client.chat.completions.create(
|
|
||||||
model="llama-3.1-8b-instant",
|
|
||||||
messages=[{"role": "user", "content": prompt}],
|
|
||||||
temperature=0.7,
|
|
||||||
max_tokens=1500
|
|
||||||
)
|
|
||||||
|
|
||||||
generated_text = completion.choices[0].message.content.strip()
|
|
||||||
|
|
||||||
return {
|
|
||||||
"generated_questions": generated_text,
|
|
||||||
"question_type": request.question_type,
|
|
||||||
"question_count": request.question_count,
|
|
||||||
"mc_count": mc_count,
|
|
||||||
"essay_count": essay_count
|
|
||||||
}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan internal: {str(e)}")
|
|
||||||
|
|
||||||
# Cache Feedback
|
|
||||||
feedback_cache = {}
|
|
||||||
|
|
||||||
class FeedbackRequest(BaseModel):
|
|
||||||
user_answer: str
|
|
||||||
expected_answer: str
|
|
||||||
|
|
||||||
@app.post("/generate-feedback/")
|
|
||||||
async def generate_feedback(request: FeedbackRequest):
|
|
||||||
try:
|
|
||||||
user_answer = request.user_answer.strip()
|
|
||||||
expected_answer = request.expected_answer.strip()
|
|
||||||
|
|
||||||
# Hashing untuk cache
|
|
||||||
prompt_hash = hashlib.sha256(f"{user_answer}|{expected_answer}".encode()).hexdigest()
|
|
||||||
if prompt_hash in feedback_cache:
|
|
||||||
logging.info("Feedback dari cache.")
|
|
||||||
return {"feedback": feedback_cache[prompt_hash]}
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Kamu adalah asisten pengajar untuk siswa SD kelas 3. Siswa memberikan jawaban berikut untuk soal isian.
|
|
||||||
|
|
||||||
**Jawaban Siswa:** {user_answer}
|
|
||||||
**Jawaban Ideal:** {expected_answer}
|
|
||||||
|
|
||||||
Beri feedback singkat dan membangun, maksimal 2 kalimat. Gunakan bahasa yang mudah dimengerti oleh siswa SD. Jika jawaban siswa salah, berikan petunjuk atau koreksi yang membantu.
|
|
||||||
"""
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt feedback ke Groq...")
|
|
||||||
|
|
||||||
completion = client.chat.completions.create(
|
|
||||||
model="llama-3.1-8b-instant",
|
|
||||||
messages=[{"role": "user", "content": prompt}],
|
|
||||||
temperature=0.7,
|
|
||||||
max_tokens=150
|
|
||||||
)
|
|
||||||
|
|
||||||
feedback = completion.choices[0].message.content.strip()
|
|
||||||
feedback_cache[prompt_hash] = feedback
|
|
||||||
|
|
||||||
return {"feedback": feedback}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate feedback: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
|
|
||||||
|
|
@ -1,177 +0,0 @@
|
||||||
from fastapi import FastAPI, HTTPException, Request
|
|
||||||
from fastapi.middleware.cors import CORSMiddleware
|
|
||||||
from fastapi.exceptions import RequestValidationError
|
|
||||||
from fastapi.responses import JSONResponse
|
|
||||||
from fastapi.encoders import jsonable_encoder
|
|
||||||
from pydantic import BaseModel
|
|
||||||
import logging, hashlib
|
|
||||||
import httpx
|
|
||||||
|
|
||||||
# Logging setup
|
|
||||||
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
|
|
||||||
|
|
||||||
# FastAPI instance
|
|
||||||
app = FastAPI()
|
|
||||||
|
|
||||||
# CORS
|
|
||||||
app.add_middleware(
|
|
||||||
CORSMiddleware,
|
|
||||||
allow_origins=["*"],
|
|
||||||
allow_credentials=True,
|
|
||||||
allow_methods=["*"],
|
|
||||||
allow_headers=["*"],
|
|
||||||
)
|
|
||||||
|
|
||||||
# Ollama endpoint
|
|
||||||
OLLAMA_URL = "http://labai.polinema.ac.id:11434/api/generate"
|
|
||||||
|
|
||||||
# Error handler
|
|
||||||
@app.exception_handler(RequestValidationError)
|
|
||||||
async def validation_exception_handler(request: Request, exc: RequestValidationError):
|
|
||||||
logging.error(f"Validation error: {exc}")
|
|
||||||
return JSONResponse(
|
|
||||||
status_code=422,
|
|
||||||
content={"detail": jsonable_encoder(exc.errors()), "body": exc.body},
|
|
||||||
)
|
|
||||||
|
|
||||||
# Input models
|
|
||||||
class MaterialRequest(BaseModel):
|
|
||||||
content: str
|
|
||||||
question_type: str = "multiple_choice"
|
|
||||||
question_count: int = 5
|
|
||||||
|
|
||||||
class FeedbackRequest(BaseModel):
|
|
||||||
user_answer: str
|
|
||||||
expected_answer: str
|
|
||||||
|
|
||||||
# Utility
|
|
||||||
feedback_cache = {}
|
|
||||||
|
|
||||||
def potong_konten(text: str, max_chars: int = 5000):
|
|
||||||
if len(text) > max_chars:
|
|
||||||
logging.warning(f"Teks terlalu panjang ({len(text)} karakter), dipotong jadi {max_chars}")
|
|
||||||
return text[:max_chars]
|
|
||||||
return text
|
|
||||||
|
|
||||||
@app.post("/generate-from-material/")
|
|
||||||
async def generate_from_material(request: MaterialRequest):
|
|
||||||
try:
|
|
||||||
if request.question_count < 1 or request.question_count > 20:
|
|
||||||
raise HTTPException(status_code=400, detail="Jumlah soal harus antara 1-20")
|
|
||||||
|
|
||||||
if request.question_type not in ["multiple_choice", "essay", "mixed"]:
|
|
||||||
raise HTTPException(status_code=400, detail="Jenis soal tidak valid. Pilih: multiple_choice, essay, atau mixed")
|
|
||||||
|
|
||||||
mc_count = request.question_count if request.question_type == "multiple_choice" else 0
|
|
||||||
essay_count = request.question_count if request.question_type == "essay" else 0
|
|
||||||
if request.question_type == "mixed":
|
|
||||||
mc_count = max(1, request.question_count // 2)
|
|
||||||
essay_count = request.question_count - mc_count
|
|
||||||
|
|
||||||
content_bersih = potong_konten(request.content.strip())
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Buat soal latihan berdasarkan teks materi berikut untuk siswa SD kelas 3.
|
|
||||||
|
|
||||||
**Instruksi:**
|
|
||||||
1. Buat total {request.question_count} soal dengan rincian:
|
|
||||||
- Soal pilihan ganda: {mc_count}
|
|
||||||
- Soal isian/essay: {essay_count}
|
|
||||||
2. Setiap soal harus disertai:
|
|
||||||
- Kutipan 1 kalimat dari teks materi sebagai dasar soal
|
|
||||||
- Jawaban
|
|
||||||
- ✅ Bobot soal antara:
|
|
||||||
- 1-2 untuk soal pilihan ganda
|
|
||||||
- 3-5 untuk soal isian/essay
|
|
||||||
- Gunakan penilaian kompleksitas soal untuk menentukan bobotnya
|
|
||||||
3. Gunakan bahasa yang sederhana dan sesuai untuk siswa SD kelas 3.
|
|
||||||
4. Jangan menambahkan informasi di luar materi.
|
|
||||||
|
|
||||||
**Format Output:**
|
|
||||||
---
|
|
||||||
**Soal Pilihan Ganda:**
|
|
||||||
1. Kalimat sumber: "[kutipan kalimat dari teks]"
|
|
||||||
Pertanyaan: [Pertanyaan]
|
|
||||||
A. [Opsi A]
|
|
||||||
B. [Opsi B]
|
|
||||||
C. [Opsi C]
|
|
||||||
D. [Opsi D]
|
|
||||||
Jawaban: [Huruf Opsi]
|
|
||||||
Bobot: [1 atau 2]
|
|
||||||
|
|
||||||
**Soal Isian:**
|
|
||||||
1. Kalimat sumber: "[kutipan kalimat dari teks]"
|
|
||||||
Pertanyaan: [Pertanyaan]
|
|
||||||
Jawaban: [Jawaban]
|
|
||||||
Bobot: [3 - 5]
|
|
||||||
---
|
|
||||||
|
|
||||||
**Materi:**
|
|
||||||
{content_bersih}
|
|
||||||
""".strip()
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt ke Ollama...")
|
|
||||||
async with httpx.AsyncClient(timeout=120) as client:
|
|
||||||
response = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt,
|
|
||||||
"stream": False,
|
|
||||||
"options": {
|
|
||||||
"num_predict": 2048
|
|
||||||
}
|
|
||||||
})
|
|
||||||
|
|
||||||
response.raise_for_status()
|
|
||||||
result = response.json()
|
|
||||||
generated_text = result.get("response", "").strip()
|
|
||||||
|
|
||||||
return {
|
|
||||||
"generated_questions": generated_text,
|
|
||||||
"question_type": request.question_type,
|
|
||||||
"question_count": request.question_count,
|
|
||||||
"mc_count": mc_count,
|
|
||||||
"essay_count": essay_count
|
|
||||||
}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan internal: {str(e)}")
|
|
||||||
|
|
||||||
@app.post("/generate-feedback/")
|
|
||||||
async def generate_feedback(request: FeedbackRequest):
|
|
||||||
try:
|
|
||||||
user_answer = request.user_answer.strip()
|
|
||||||
expected_answer = request.expected_answer.strip()
|
|
||||||
|
|
||||||
prompt_hash = hashlib.sha256(f"{user_answer}|{expected_answer}".encode()).hexdigest()
|
|
||||||
if prompt_hash in feedback_cache:
|
|
||||||
logging.info("Feedback dari cache.")
|
|
||||||
return {"feedback": feedback_cache[prompt_hash]}
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Kamu adalah asisten pengajar untuk siswa SD kelas 3. Siswa memberikan jawaban berikut untuk soal isian.
|
|
||||||
|
|
||||||
**Jawaban Siswa:** {user_answer}
|
|
||||||
**Jawaban Ideal:** {expected_answer}
|
|
||||||
|
|
||||||
Beri feedback singkat dan membangun, maksimal 2 kalimat. Gunakan bahasa yang mudah dimengerti oleh siswa SD. Jika jawaban siswa salah, berikan petunjuk atau koreksi yang membantu.
|
|
||||||
"""
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt feedback ke Ollama...")
|
|
||||||
async with httpx.AsyncClient(timeout=60) as client:
|
|
||||||
response = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt,
|
|
||||||
"stream": False
|
|
||||||
})
|
|
||||||
|
|
||||||
response.raise_for_status()
|
|
||||||
result = response.json()
|
|
||||||
feedback = result.get("response", "").strip()
|
|
||||||
|
|
||||||
feedback_cache[prompt_hash] = feedback
|
|
||||||
return {"feedback": feedback}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate feedback: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
|
|
||||||
|
|
@ -1,183 +0,0 @@
|
||||||
from fastapi import FastAPI, HTTPException, Request
|
|
||||||
from fastapi.middleware.cors import CORSMiddleware
|
|
||||||
from fastapi.exceptions import RequestValidationError
|
|
||||||
from fastapi.responses import JSONResponse
|
|
||||||
from fastapi.encoders import jsonable_encoder
|
|
||||||
from pydantic import BaseModel
|
|
||||||
import logging, hashlib
|
|
||||||
import httpx
|
|
||||||
|
|
||||||
# Logging setup
|
|
||||||
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
|
|
||||||
|
|
||||||
# FastAPI instance
|
|
||||||
app = FastAPI()
|
|
||||||
|
|
||||||
# CORS
|
|
||||||
app.add_middleware(
|
|
||||||
CORSMiddleware,
|
|
||||||
allow_origins=["*"],
|
|
||||||
allow_credentials=True,
|
|
||||||
allow_methods=["*"],
|
|
||||||
allow_headers=["*"],
|
|
||||||
)
|
|
||||||
|
|
||||||
# Ollama endpoint
|
|
||||||
OLLAMA_URL = "http://labai.polinema.ac.id:11434/api/generate"
|
|
||||||
|
|
||||||
# Error handler
|
|
||||||
@app.exception_handler(RequestValidationError)
|
|
||||||
async def validation_exception_handler(request: Request, exc: RequestValidationError):
|
|
||||||
logging.error(f"Validation error: {exc}")
|
|
||||||
return JSONResponse(
|
|
||||||
status_code=422,
|
|
||||||
content={"detail": jsonable_encoder(exc.errors()), "body": exc.body},
|
|
||||||
)
|
|
||||||
|
|
||||||
# Input models
|
|
||||||
class MaterialRequest(BaseModel):
|
|
||||||
content: str
|
|
||||||
question_type: str # 'multiple_choice' atau 'essay'
|
|
||||||
question_count: int = 5
|
|
||||||
|
|
||||||
class FeedbackRequest(BaseModel):
|
|
||||||
user_answer: str
|
|
||||||
expected_answer: str
|
|
||||||
|
|
||||||
# Utility
|
|
||||||
feedback_cache = {}
|
|
||||||
|
|
||||||
def potong_konten(text: str, max_chars: int = 5000):
|
|
||||||
if len(text) > max_chars:
|
|
||||||
logging.warning(f"Teks terlalu panjang ({len(text)} karakter), dipotong jadi {max_chars}")
|
|
||||||
return text[:max_chars]
|
|
||||||
return text
|
|
||||||
|
|
||||||
@app.post("/generate-from-material/")
|
|
||||||
async def generate_from_material(request: MaterialRequest):
|
|
||||||
try:
|
|
||||||
if request.question_count < 1 or request.question_count > 20:
|
|
||||||
raise HTTPException(status_code=400, detail="Jumlah soal harus antara 1-20")
|
|
||||||
|
|
||||||
if request.question_type not in ["multiple_choice", "essay"]:
|
|
||||||
raise HTTPException(status_code=400, detail="Jenis soal tidak valid. Pilih: multiple_choice atau essay")
|
|
||||||
|
|
||||||
mc_count = request.question_count if request.question_type == "multiple_choice" else 0
|
|
||||||
essay_count = request.question_count if request.question_type == "essay" else 0
|
|
||||||
|
|
||||||
content_bersih = potong_konten(request.content.strip())
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Buat soal latihan berdasarkan teks materi berikut untuk siswa SD kelas 3.
|
|
||||||
|
|
||||||
**Instruksi:**
|
|
||||||
1. Buat total {request.question_count} soal dengan rincian:
|
|
||||||
- Soal pilihan ganda: {mc_count}
|
|
||||||
- Soal isian: {essay_count}
|
|
||||||
|
|
||||||
2. **Untuk soal isian:**
|
|
||||||
- Ambil kutipan **minimal dua kalimat yang saling terhubung** dari teks sebagai dasar soal
|
|
||||||
- Awali dengan: **Bacalah kutipan berikut: "[kutipan]"**
|
|
||||||
- Buat pertanyaan berdasarkan kutipan tersebut
|
|
||||||
- Sertakan **jawaban singkat**
|
|
||||||
- Beri bobot antara **3–5** sesuai kompleksitas
|
|
||||||
|
|
||||||
3. **Untuk soal pilihan ganda (jika ada):**
|
|
||||||
- Ambil kutipan **1 kalimat yang relevan** dari teks
|
|
||||||
- Buat pertanyaan dan 4 pilihan jawaban (A–D)
|
|
||||||
- Beri jawaban benar dan bobot antara **1–2** sesuai tingkat kesulitan
|
|
||||||
|
|
||||||
4. Gunakan bahasa sederhana dan sesuai dengan siswa SD kelas 3.
|
|
||||||
|
|
||||||
5. Jangan menambahkan informasi di luar teks materi.
|
|
||||||
|
|
||||||
**Format Output:**
|
|
||||||
""" + ("""
|
|
||||||
**Soal Pilihan Ganda:**
|
|
||||||
1. Bacalah kutipan berikut: "[2 kalimat atau lebih dari teks]"
|
|
||||||
Pertanyaan: [Pertanyaan]
|
|
||||||
A. [Opsi A]
|
|
||||||
B. [Opsi B]
|
|
||||||
C. [Opsi C]
|
|
||||||
D. [Opsi D]
|
|
||||||
Jawaban: [Huruf Opsi]
|
|
||||||
Bobot: [1 atau 2]
|
|
||||||
""" if mc_count > 0 else "") + ("""
|
|
||||||
|
|
||||||
**Soal Isian:**
|
|
||||||
1. Bacalah kutipan berikut: "[2 kalimat atau lebih dari teks]". [Pertanyaan]
|
|
||||||
Jawaban: [Jawaban]
|
|
||||||
Bobot: [3 - 5]
|
|
||||||
""" if essay_count > 0 else "") + f"""
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
**Materi:**
|
|
||||||
{content_bersih}
|
|
||||||
""".strip()
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt ke Ollama...")
|
|
||||||
async with httpx.AsyncClient(timeout=120) as client:
|
|
||||||
response = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt,
|
|
||||||
"stream": False,
|
|
||||||
"options": {
|
|
||||||
"num_predict": 2048
|
|
||||||
}
|
|
||||||
})
|
|
||||||
|
|
||||||
response.raise_for_status()
|
|
||||||
result = response.json()
|
|
||||||
generated_text = result.get("response", "").strip()
|
|
||||||
|
|
||||||
return {
|
|
||||||
"generated_questions": generated_text,
|
|
||||||
"question_type": request.question_type,
|
|
||||||
"question_count": request.question_count,
|
|
||||||
"mc_count": mc_count,
|
|
||||||
"essay_count": essay_count
|
|
||||||
}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan internal: {str(e)}")
|
|
||||||
|
|
||||||
@app.post("/generate-feedback/")
|
|
||||||
async def generate_feedback(request: FeedbackRequest):
|
|
||||||
try:
|
|
||||||
user_answer = request.user_answer.strip()
|
|
||||||
expected_answer = request.expected_answer.strip()
|
|
||||||
|
|
||||||
prompt_hash = hashlib.sha256(f"{user_answer}|{expected_answer}".encode()).hexdigest()
|
|
||||||
if prompt_hash in feedback_cache:
|
|
||||||
logging.info("Feedback dari cache.")
|
|
||||||
return {"feedback": feedback_cache[prompt_hash]}
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Kamu adalah asisten pengajar untuk siswa SD kelas 3. Siswa memberikan jawaban berikut untuk soal isian.
|
|
||||||
|
|
||||||
**Jawaban Siswa:** {user_answer}
|
|
||||||
**Jawaban Ideal:** {expected_answer}
|
|
||||||
|
|
||||||
Beri feedback singkat dan membangun, maksimal 2 kalimat. Gunakan bahasa yang mudah dimengerti oleh siswa SD. Jika jawaban siswa salah, berikan petunjuk atau koreksi yang membantu.
|
|
||||||
"""
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt feedback ke Ollama...")
|
|
||||||
async with httpx.AsyncClient(timeout=60) as client:
|
|
||||||
response = await client.post(OLLAMA_URL, json={
|
|
||||||
"model": "llama3.1:latest",
|
|
||||||
"prompt": prompt,
|
|
||||||
"stream": False
|
|
||||||
})
|
|
||||||
|
|
||||||
response.raise_for_status()
|
|
||||||
result = response.json()
|
|
||||||
feedback = result.get("response", "").strip()
|
|
||||||
|
|
||||||
feedback_cache[prompt_hash] = feedback
|
|
||||||
return {"feedback": feedback}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate feedback: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
|
|
||||||
|
|
@ -1,284 +0,0 @@
|
||||||
# Menggunakan Huggingface
|
|
||||||
# from fastapi import FastAPI, HTTPException
|
|
||||||
# from fastapi.middleware.cors import CORSMiddleware
|
|
||||||
# from huggingface_hub import InferenceClient
|
|
||||||
# import random
|
|
||||||
# import logging
|
|
||||||
|
|
||||||
# app = FastAPI()
|
|
||||||
|
|
||||||
# app.add_middleware(
|
|
||||||
# CORSMiddleware,
|
|
||||||
# allow_origins=["*"],
|
|
||||||
# allow_credentials=True,
|
|
||||||
# allow_methods=["*"],
|
|
||||||
# allow_headers=["*"],
|
|
||||||
# )
|
|
||||||
|
|
||||||
# # Logging setup
|
|
||||||
# logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
|
|
||||||
|
|
||||||
# # Token Hugging Face (gunakan .env di production)
|
|
||||||
# HF_TOKEN = "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"
|
|
||||||
# #meta-llama/Llama-2-7b-chat-hf
|
|
||||||
# #meta-llama/Llama-3.2-3B-Instruct
|
|
||||||
# client = InferenceClient(model="meta-llama/Llama-3.2-3B-Instruct", token=HF_TOKEN)
|
|
||||||
|
|
||||||
# data_sources = {
|
|
||||||
# "cerita": {
|
|
||||||
# "Malin Kundang": "Malin Kundang adalah seorang anak dari keluarga miskin yang menjadi kaya raya namun menolak mengakui ibunya, hingga akhirnya dikutuk menjadi batu.",
|
|
||||||
# "Bawang Merah Bawang Putih": "Bawang Putih adalah gadis baik hati yang diperlakukan buruk oleh ibu dan saudara tirinya, tetapi kebaikannya membuahkan hasil berkat ikan ajaib.",
|
|
||||||
# "Sangkuriang": "Sangkuriang jatuh cinta pada ibunya, Dayang Sumbi, dan diberi tugas mustahil untuk membangun perahu dalam satu malam. Ia gagal dan akhirnya marah, menendang perahu hingga menjadi Gunung Tangkuban Perahu.",
|
|
||||||
# "Si Kancil": "Si Kancil dengan kecerdikannya berhasil menipu buaya untuk menyeberangi sungai dengan aman.",
|
|
||||||
# "Timun Mas": "Seorang ibu tua mendapatkan anak dari biji timun emas. Namun, anak itu harus melarikan diri dari raksasa jahat yang ingin memakannya."
|
|
||||||
# },
|
|
||||||
# "pantun": {
|
|
||||||
# "Pantun Nasihat": "Jalan-jalan ke kota Blitar,\nJangan lupa membeli roti.\nRajin belajar sejak pintar,\nAgar sukses di kemudian hari.",
|
|
||||||
# "Pantun Jenaka": "Ke pasar beli ikan teri,\nIkan habis tinggal kepala.\nJangan suka mencuri,\nNanti ketahuan malah celaka."
|
|
||||||
# },
|
|
||||||
# "puisi": {
|
|
||||||
# "Puisi Alam": "Langit biru membentang luas,\nBurung-burung terbang bebas.\nAngin sepoi menyapu dedaunan,\nAlam indah penuh kedamaian.",
|
|
||||||
# "Puisi Persahabatan": "Sahabat sejati selalu ada,\nDalam suka dan dalam duka.\nBersama kita jalani hari,\nMengukir cerita tak terlupa."
|
|
||||||
# }
|
|
||||||
# }
|
|
||||||
|
|
||||||
# @app.post("/generate/")
|
|
||||||
# async def generate_text():
|
|
||||||
# try:
|
|
||||||
# selected_stories = random.sample(list(data_sources["cerita"].keys()), 3)
|
|
||||||
# selected_pantun = random.choice(list(data_sources["pantun"].keys()))
|
|
||||||
# selected_puisi = random.choice(list(data_sources["puisi"].keys()))
|
|
||||||
|
|
||||||
# story_prompts = "\n\n".join([
|
|
||||||
# f"Judul: {story}\nIsi:\n{data_sources['cerita'][story]}"
|
|
||||||
# for story in selected_stories
|
|
||||||
# ])
|
|
||||||
|
|
||||||
# pantun_prompt = f"Judul: {selected_pantun}\nIsi:\n{data_sources['pantun'][selected_pantun]}"
|
|
||||||
# puisi_prompt = f"Judul: {selected_puisi}\nIsi:\n{data_sources['puisi'][selected_puisi]}"
|
|
||||||
|
|
||||||
# full_prompt = f"""
|
|
||||||
# Kamu adalah asisten pengajar untuk siswa SD kelas 3. Berdasarkan teks di bawah ini, buat soal untuk latihan siswa.
|
|
||||||
|
|
||||||
# **Instruksi:**
|
|
||||||
# 1. Untuk setiap teks (cerita, pantun, puisi), tampilkan:
|
|
||||||
# - Judul
|
|
||||||
# - Isi lengkap teks
|
|
||||||
# - 1 soal pilihan ganda (A-D) beserta jawaban benar dalam format: Jawaban Benar: X
|
|
||||||
# - 1 soal isian beserta jawaban ideal dalam format: Jawaban Ideal: [isi jawaban])
|
|
||||||
# 2. Gunakan bahasa sederhana dan mudah dipahami siswa SD kelas 3.
|
|
||||||
# 3. Gunakan format seperti contoh ini:
|
|
||||||
|
|
||||||
# ---
|
|
||||||
|
|
||||||
# Judul: [judul]
|
|
||||||
# Isi:
|
|
||||||
# [isi teks]
|
|
||||||
|
|
||||||
# **Soal Pilihan Ganda:**
|
|
||||||
# 1. [pertanyaan]
|
|
||||||
# A. ...
|
|
||||||
# B. ...
|
|
||||||
# C. ...
|
|
||||||
# D. ...
|
|
||||||
# Jawaban Benar: X
|
|
||||||
|
|
||||||
# **Soal Isian:**
|
|
||||||
# [pertanyaan]
|
|
||||||
# Jawaban Ideal: [isi jawaban]
|
|
||||||
|
|
||||||
# ---
|
|
||||||
|
|
||||||
# **TEKS CERITA:**
|
|
||||||
# {story_prompts}
|
|
||||||
|
|
||||||
# **TEKS PANTUN:**
|
|
||||||
# {pantun_prompt}
|
|
||||||
|
|
||||||
# **TEKS PUISI:**
|
|
||||||
# {puisi_prompt}
|
|
||||||
|
|
||||||
# Jangan gabungkan semua soal jadi satu bagian. Setiap teks harus punya blok tersendiri seperti format di atas.
|
|
||||||
# """
|
|
||||||
|
|
||||||
# logging.info("Mengirim prompt ke Hugging Face...")
|
|
||||||
# response = client.text_generation(full_prompt, max_new_tokens=1000)
|
|
||||||
# generated_text = response.strip()
|
|
||||||
|
|
||||||
# if not generated_text:
|
|
||||||
# raise HTTPException(status_code=500, detail="Model tidak menghasilkan pertanyaan.")
|
|
||||||
|
|
||||||
# return {
|
|
||||||
# "selected_stories": [
|
|
||||||
# {
|
|
||||||
# "title": story,
|
|
||||||
# "content": data_sources["cerita"][story]
|
|
||||||
# } for story in selected_stories
|
|
||||||
# ],
|
|
||||||
# "selected_pantun": {
|
|
||||||
# "title": selected_pantun,
|
|
||||||
# "content": data_sources["pantun"][selected_pantun]
|
|
||||||
# },
|
|
||||||
# "selected_puisi": {
|
|
||||||
# "title": selected_puisi,
|
|
||||||
# "content": data_sources["puisi"][selected_puisi]
|
|
||||||
# },
|
|
||||||
# "generated_questions": generated_text
|
|
||||||
# }
|
|
||||||
|
|
||||||
# except Exception as e:
|
|
||||||
# logging.error(f"Error saat generate: {e}")
|
|
||||||
# raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
|
|
||||||
|
|
||||||
|
|
||||||
# Menggunakan Groq
|
|
||||||
from fastapi import FastAPI, HTTPException, Query
|
|
||||||
from fastapi.middleware.cors import CORSMiddleware
|
|
||||||
from groq import Groq
|
|
||||||
import random
|
|
||||||
import logging
|
|
||||||
from pydantic import BaseModel
|
|
||||||
from difflib import SequenceMatcher
|
|
||||||
|
|
||||||
app = FastAPI()
|
|
||||||
|
|
||||||
app.add_middleware(
|
|
||||||
CORSMiddleware,
|
|
||||||
allow_origins=["*"],
|
|
||||||
allow_credentials=True,
|
|
||||||
allow_methods=["*"],
|
|
||||||
allow_headers=["*"],
|
|
||||||
)
|
|
||||||
|
|
||||||
# Logging setup
|
|
||||||
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
|
|
||||||
|
|
||||||
# Langsung masukkan API Key Groq di sini
|
|
||||||
client = Groq(api_key="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")
|
|
||||||
|
|
||||||
data_sources = {
|
|
||||||
"cerita": {
|
|
||||||
"Malin Kundang": "Pada zaman dahulu, hiduplah seorang anak bernama Malin Kundang...",
|
|
||||||
"Bawang Merah Bawang Putih": "Bawang Merah selalu iri dengan kebaikan Bawang Putih...",
|
|
||||||
"Timun Mas": "Timun Mas adalah seorang gadis pemberian raksasa kepada seorang petani..."
|
|
||||||
},
|
|
||||||
"pantun": {
|
|
||||||
"Pantun Pendidikan": "Belajar pagi membaca buku,\nSiang datang janganlah lesu,\nMenuntut ilmu jangan jemu,\nAgar sukses di masa depanmu."
|
|
||||||
},
|
|
||||||
"puisi": {
|
|
||||||
"Puisi Alam": "Langit biru terbentang luas,\nGunung tinggi menjulang tegas,\nHijau daun menari bebas,\nAlam indah ciptaan yang cerdas."
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
@app.post("/generate/") # Endpoint untuk generate soal
|
|
||||||
async def generate_text():
|
|
||||||
try:
|
|
||||||
selected_stories = random.sample(list(data_sources["cerita"].keys()), 3)
|
|
||||||
selected_pantun = random.choice(list(data_sources["pantun"].keys()))
|
|
||||||
selected_puisi = random.choice(list(data_sources["puisi"].keys()))
|
|
||||||
|
|
||||||
story_prompts = "\n\n".join([f"Judul: {story}\nIsi:\n{data_sources['cerita'][story]}" for story in selected_stories])
|
|
||||||
pantun_prompt = f"Judul: {selected_pantun}\nIsi:\n{data_sources['pantun'][selected_pantun]}"
|
|
||||||
puisi_prompt = f"Judul: {selected_puisi}\nIsi:\n{data_sources['puisi'][selected_puisi]}"
|
|
||||||
|
|
||||||
full_prompt = f"""
|
|
||||||
Kamu adalah asisten pengajar untuk siswa SD kelas 3. Berdasarkan teks di bawah ini, buat soal untuk latihan siswa.
|
|
||||||
|
|
||||||
**Instruksi:**
|
|
||||||
1. Untuk setiap teks (cerita, pantun, puisi), tampilkan:
|
|
||||||
- Judul
|
|
||||||
- Isi lengkap teks
|
|
||||||
- 1 soal pilihan ganda (A-D) beserta jawaban benar dalam format: Jawaban Benar: X
|
|
||||||
- 1 soal isian beserta jawaban ideal dalam format: Jawaban Ideal: [isi jawaban])
|
|
||||||
2. Gunakan bahasa sederhana dan mudah dipahami siswa SD kelas 3.
|
|
||||||
3. Gunakan format seperti contoh ini:
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
Judul: [judul]
|
|
||||||
Isi:
|
|
||||||
[isi teks]
|
|
||||||
|
|
||||||
**Soal Pilihan Ganda:**
|
|
||||||
1. [pertanyaan]
|
|
||||||
A. ...
|
|
||||||
B. ...
|
|
||||||
C. ...
|
|
||||||
D. ...
|
|
||||||
Jawaban Benar: X
|
|
||||||
|
|
||||||
**Soal Isian:**
|
|
||||||
[pertanyaan]
|
|
||||||
Jawaban Ideal: [isi jawaban]
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
**TEKS CERITA:**
|
|
||||||
{story_prompts}
|
|
||||||
|
|
||||||
**TEKS PANTUN:**
|
|
||||||
{pantun_prompt}
|
|
||||||
|
|
||||||
**TEKS PUISI:**
|
|
||||||
{puisi_prompt}
|
|
||||||
|
|
||||||
Jangan gabungkan semua soal jadi satu bagian. Setiap teks harus punya blok tersendiri seperti format di atas.
|
|
||||||
"""
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt ke Groq LLaMA-3.1-8b-instant...")
|
|
||||||
|
|
||||||
completion = client.chat.completions.create(
|
|
||||||
model="llama-3.1-8b-instant",
|
|
||||||
messages=[{"role": "user", "content": full_prompt}],
|
|
||||||
temperature=0.7,
|
|
||||||
max_tokens=1000
|
|
||||||
)
|
|
||||||
|
|
||||||
generated_text = completion.choices[0].message.content.strip()
|
|
||||||
|
|
||||||
return {
|
|
||||||
"selected_stories": [{"title": story, "content": data_sources["cerita"][story]} for story in selected_stories],
|
|
||||||
"selected_pantun": {"title": selected_pantun, "content": data_sources["pantun"][selected_pantun]},
|
|
||||||
"selected_puisi": {"title": selected_puisi, "content": data_sources["puisi"][selected_puisi]},
|
|
||||||
"generated_questions": generated_text
|
|
||||||
}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
|
|
||||||
|
|
||||||
class FeedbackRequest(BaseModel):
|
|
||||||
user_answer: str
|
|
||||||
expected_answer: str
|
|
||||||
|
|
||||||
@app.post("/generate-feedback/")
|
|
||||||
async def generate_feedback(request: FeedbackRequest):
|
|
||||||
try:
|
|
||||||
user_answer = request.user_answer.strip()
|
|
||||||
expected_answer = request.expected_answer.strip()
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Kamu adalah asisten pengajar untuk siswa SD kelas 3. Siswa memberikan jawaban berikut untuk soal isian.
|
|
||||||
|
|
||||||
**Jawaban Siswa:** {user_answer}
|
|
||||||
**Jawaban Ideal:** {expected_answer}
|
|
||||||
|
|
||||||
Beri feedback singkat dan membangun, maksimal 2 kalimat. Gunakan bahasa yang mudah dimengerti oleh siswa SD. Jika jawaban siswa salah, berikan petunjuk atau koreksi yang membantu.
|
|
||||||
"""
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt feedback ke Groq...")
|
|
||||||
|
|
||||||
completion = client.chat.completions.create(
|
|
||||||
model="llama-3.1-8b-instant",
|
|
||||||
messages=[{"role": "user", "content": prompt}],
|
|
||||||
temperature=0.7,
|
|
||||||
max_tokens=150
|
|
||||||
)
|
|
||||||
|
|
||||||
feedback = completion.choices[0].message.content.strip()
|
|
||||||
|
|
||||||
return {"feedback": feedback}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate feedback: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
|
|
||||||
|
|
@ -1,190 +0,0 @@
|
||||||
from fastapi import FastAPI, HTTPException, Request
|
|
||||||
from fastapi.middleware.cors import CORSMiddleware
|
|
||||||
from starlette.middleware.base import BaseHTTPMiddleware
|
|
||||||
from starlette.responses import JSONResponse
|
|
||||||
from groq import Groq
|
|
||||||
from pydantic import BaseModel
|
|
||||||
from collections import defaultdict
|
|
||||||
import random, time, logging, hashlib
|
|
||||||
|
|
||||||
# Inisialisasi FastAPI
|
|
||||||
app = FastAPI()
|
|
||||||
|
|
||||||
# Middleware CORS
|
|
||||||
app.add_middleware(
|
|
||||||
CORSMiddleware,
|
|
||||||
allow_origins=["*"],
|
|
||||||
allow_credentials=True,
|
|
||||||
allow_methods=["*"],
|
|
||||||
allow_headers=["*"],
|
|
||||||
)
|
|
||||||
|
|
||||||
# Logging
|
|
||||||
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
|
|
||||||
|
|
||||||
# Groq Client
|
|
||||||
client = Groq(api_key="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")
|
|
||||||
|
|
||||||
# Rate Limiting Middleware
|
|
||||||
class RateLimitMiddleware(BaseHTTPMiddleware):
|
|
||||||
def __init__(self, app, max_requests: int = 5, window_seconds: int = 60):
|
|
||||||
super().__init__(app)
|
|
||||||
self.max_requests = max_requests
|
|
||||||
self.window = window_seconds
|
|
||||||
self.ip_timestamps = defaultdict(list)
|
|
||||||
|
|
||||||
async def dispatch(self, request: Request, call_next):
|
|
||||||
ip = request.client.host
|
|
||||||
now = time.time()
|
|
||||||
timestamps = self.ip_timestamps[ip]
|
|
||||||
self.ip_timestamps[ip] = [t for t in timestamps if now - t < self.window]
|
|
||||||
|
|
||||||
if len(self.ip_timestamps[ip]) >= self.max_requests:
|
|
||||||
return JSONResponse(
|
|
||||||
status_code=429,
|
|
||||||
content={"detail": "Terlalu banyak permintaan. Silakan coba lagi beberapa saat."},
|
|
||||||
)
|
|
||||||
|
|
||||||
self.ip_timestamps[ip].append(now)
|
|
||||||
return await call_next(request)
|
|
||||||
|
|
||||||
# Tambahkan RateLimit Middleware
|
|
||||||
app.add_middleware(RateLimitMiddleware)
|
|
||||||
|
|
||||||
# Data sumber
|
|
||||||
data_sources = {
|
|
||||||
"cerita": {
|
|
||||||
"Malin Kundang": "Pada zaman dahulu, hiduplah seorang anak bernama Malin Kundang...",
|
|
||||||
"Bawang Merah Bawang Putih": "Bawang Merah selalu iri dengan kebaikan Bawang Putih...",
|
|
||||||
"Timun Mas": "Timun Mas adalah seorang gadis pemberian raksasa kepada seorang petani..."
|
|
||||||
},
|
|
||||||
"pantun": {
|
|
||||||
"Pantun Pendidikan": "Belajar pagi membaca buku,\nSiang datang janganlah lesu,\nMenuntut ilmu jangan jemu,\nAgar sukses di masa depanmu."
|
|
||||||
},
|
|
||||||
"puisi": {
|
|
||||||
"Puisi Alam": "Langit biru terbentang luas,\nGunung tinggi menjulang tegas,\nHijau daun menari bebas,\nAlam indah ciptaan yang cerdas."
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
@app.post("/generate/")
|
|
||||||
async def generate_text():
|
|
||||||
try:
|
|
||||||
selected_stories = random.sample(list(data_sources["cerita"].keys()), 3)
|
|
||||||
selected_pantun = random.choice(list(data_sources["pantun"].keys()))
|
|
||||||
selected_puisi = random.choice(list(data_sources["puisi"].keys()))
|
|
||||||
|
|
||||||
story_prompts = "\n\n".join([f"Judul: {story}\nIsi:\n{data_sources['cerita'][story]}" for story in selected_stories])
|
|
||||||
pantun_prompt = f"Judul: {selected_pantun}\nIsi:\n{data_sources['pantun'][selected_pantun]}"
|
|
||||||
puisi_prompt = f"Judul: {selected_puisi}\nIsi:\n{data_sources['puisi'][selected_puisi]}"
|
|
||||||
|
|
||||||
full_prompt = f"""
|
|
||||||
Kamu adalah asisten pengajar untuk siswa SD kelas 3. Berdasarkan teks di bawah ini, buat soal untuk latihan siswa.
|
|
||||||
|
|
||||||
**Instruksi:**
|
|
||||||
1. Untuk setiap teks (cerita, pantun, puisi), tampilkan:
|
|
||||||
- Judul
|
|
||||||
- Isi lengkap teks
|
|
||||||
- 1 soal pilihan ganda (A-D) beserta jawaban benar dalam format: Jawaban Benar: X
|
|
||||||
- 1 soal isian beserta jawaban ideal dalam format: Jawaban Ideal: [isi jawaban])
|
|
||||||
2. Gunakan bahasa sederhana dan mudah dipahami siswa SD kelas 3.
|
|
||||||
3. Gunakan format seperti contoh ini:
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
Judul: [judul]
|
|
||||||
Isi:
|
|
||||||
[isi teks]
|
|
||||||
|
|
||||||
**Soal Pilihan Ganda:**
|
|
||||||
1. [pertanyaan]
|
|
||||||
A. ...
|
|
||||||
B. ...
|
|
||||||
C. ...
|
|
||||||
D. ...
|
|
||||||
Jawaban Benar: X
|
|
||||||
|
|
||||||
**Soal Isian:**
|
|
||||||
[pertanyaan]
|
|
||||||
Jawaban Ideal: [isi jawaban]
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
**TEKS CERITA:**
|
|
||||||
{story_prompts}
|
|
||||||
|
|
||||||
**TEKS PANTUN:**
|
|
||||||
{pantun_prompt}
|
|
||||||
|
|
||||||
**TEKS PUISI:**
|
|
||||||
{puisi_prompt}
|
|
||||||
|
|
||||||
Jangan gabungkan semua soal jadi satu bagian. Setiap teks harus punya blok tersendiri seperti format di atas.
|
|
||||||
"""
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt ke Groq...")
|
|
||||||
|
|
||||||
completion = client.chat.completions.create(
|
|
||||||
model="llama-3.1-8b-instant",
|
|
||||||
messages=[{"role": "user", "content": full_prompt}],
|
|
||||||
temperature=0.7,
|
|
||||||
max_tokens=1000
|
|
||||||
)
|
|
||||||
|
|
||||||
generated_text = completion.choices[0].message.content.strip()
|
|
||||||
|
|
||||||
return {
|
|
||||||
"selected_stories": [{"title": s, "content": data_sources["cerita"][s]} for s in selected_stories],
|
|
||||||
"selected_pantun": {"title": selected_pantun, "content": data_sources["pantun"][selected_pantun]},
|
|
||||||
"selected_puisi": {"title": selected_puisi, "content": data_sources["puisi"][selected_puisi]},
|
|
||||||
"generated_questions": generated_text
|
|
||||||
}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
|
|
||||||
|
|
||||||
# Cache Feedback
|
|
||||||
feedback_cache = {}
|
|
||||||
|
|
||||||
class FeedbackRequest(BaseModel):
|
|
||||||
user_answer: str
|
|
||||||
expected_answer: str
|
|
||||||
|
|
||||||
@app.post("/generate-feedback/")
|
|
||||||
async def generate_feedback(request: FeedbackRequest):
|
|
||||||
try:
|
|
||||||
user_answer = request.user_answer.strip()
|
|
||||||
expected_answer = request.expected_answer.strip()
|
|
||||||
|
|
||||||
# Hashing untuk cache
|
|
||||||
prompt_hash = hashlib.sha256(f"{user_answer}|{expected_answer}".encode()).hexdigest()
|
|
||||||
if prompt_hash in feedback_cache:
|
|
||||||
logging.info("Feedback dari cache.")
|
|
||||||
return {"feedback": feedback_cache[prompt_hash]}
|
|
||||||
|
|
||||||
prompt = f"""
|
|
||||||
Kamu adalah asisten pengajar untuk siswa SD kelas 3. Siswa memberikan jawaban berikut untuk soal isian.
|
|
||||||
|
|
||||||
**Jawaban Siswa:** {user_answer}
|
|
||||||
**Jawaban Ideal:** {expected_answer}
|
|
||||||
|
|
||||||
Beri feedback singkat dan membangun, maksimal 2 kalimat. Gunakan bahasa yang mudah dimengerti oleh siswa SD. Jika jawaban siswa salah, berikan petunjuk atau koreksi yang membantu.
|
|
||||||
"""
|
|
||||||
|
|
||||||
logging.info("Mengirim prompt feedback ke Groq...")
|
|
||||||
|
|
||||||
completion = client.chat.completions.create(
|
|
||||||
model="llama-3.1-8b-instant",
|
|
||||||
messages=[{"role": "user", "content": prompt}],
|
|
||||||
temperature=0.7,
|
|
||||||
max_tokens=150
|
|
||||||
)
|
|
||||||
|
|
||||||
feedback = completion.choices[0].message.content.strip()
|
|
||||||
feedback_cache[prompt_hash] = feedback
|
|
||||||
|
|
||||||
return {"feedback": feedback}
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Error saat generate feedback: {e}")
|
|
||||||
raise HTTPException(status_code=500, detail=f"Terjadi kesalahan: {str(e)}")
|
|
||||||
Loading…
Reference in New Issue
Block a user