init

Dockerfile

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+FROM python:3.12-slim
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+COPY main.py .
+EXPOSE 3000
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "3000"]

main.py

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+from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+from datetime import datetime
+import platform
+import urllib.request
+import json as jsonlib
+
+app = FastAPI(title="PropFirms API", version="1.2.0")
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+OLLAMA_URL = "http://10.0.1.1:11435"
+
+SYSTEM_PROMPT = """Tu es un assistant spécialisé dans le trading et les prop firms.
+Tu résumes des transcripts de vidéos YouTube en français pour des traders.
+Format de réponse :
+- Contexte marché (1-2 phrases)
+- Points clés (3-5 bullet points)
+- Takeaways pour un trader prop firm (1-2 phrases)
+Sois concis et direct."""
+
+@app.get("/")
+def root():
+    return {"status": "ok", "service": "PropFirms DGX API", "version": "1.2.0"}
+
+@app.get("/health")
+def health():
+    return {
+        "status":    "healthy",
+        "timestamp": datetime.utcnow().isoformat(),
+        "host":      platform.node(),
+        "ollama":    "qwen3:14b"
+    }
+
+@app.get("/ping")
+def ping():
+    return {"pong": True}
+
+class SummarizeRequest(BaseModel):
+    transcript: str
+    video_title: str = ""
+
+@app.post("/summarize")
+async def summarize(req: SummarizeRequest):
+    if not req.transcript.strip():
+        raise HTTPException(status_code=400, detail="Transcript vide")
+
+    prompt = f"Titre de la vidéo : {req.video_title}\n\nTranscript :\n{req.transcript[:4000]}"
+
+    payload = jsonlib.dumps({
+        "model":  "qwen3:14b",
+        "prompt": prompt,
+        "system": SYSTEM_PROMPT,
+        "stream": False
+    }).encode("utf-8")
+
+    try:
+        request = urllib.request.Request(
+            f"{OLLAMA_URL}/api/generate",
+            data=payload,
+            headers={"Content-Type": "application/json"},
+            method="POST"
+        )
+        with urllib.request.urlopen(request, timeout=120) as resp:
+            result = jsonlib.loads(resp.read())
+    except Exception as e:
+        raise HTTPException(status_code=502, detail=f"Erreur Ollama : {str(e)}")
+
+    return {
+        "summary":     result.get("response", ""),
+        "video_title": req.video_title,
+        "model":       "qwen3:14b",
+        "timestamp":   datetime.utcnow().isoformat()
+    }
+
+class OCRRequest(BaseModel):
+    image_base64: str
+    platform: str = "auto"
+
+@app.post("/ocr")
+def ocr(req: OCRRequest):
+    raise HTTPException(status_code=503, detail="OCR non encore activé — disponible à l'étape 3")

requirements.txt

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+fastapi==0.115.0
+uvicorn[standard]==0.30.6
+pydantic==2.9.0
+python-multipart==0.0.12
+httpx==0.27.2