init

.env

@@ -8,4 +8,6 @@ MINIO_ENDPOINT=31.59.58.220:9000
 MINIO_ACCESS_KEY=admin
 MINIO_SECRET_KEY=SuperSecretPassword123!
 MINIO_BUCKET=filam3d
-MINIO_SECURE=false
+MINIO_SECURE=false
+AI_PROXY_URL=http://82.22.174.14:8001
+AI_PROXY_SALT=AbVJUkwTPcUWJWhPzmjXb5p4SYyKmYC5m1uVW7Dhi7o

backend/app/config.py

@@ -4,6 +4,8 @@ from pydantic_settings import BaseSettings
 class Settings(BaseSettings):
     DATABASE_URL: str = "postgresql+asyncpg://print3d:P3D_PASSWORD@31.59.58.220:5432/print3d"
     GOOGLE_API_KEY: str = ""
+    AI_PROXY_URL: str = "http://82.22.174.14:8001"
+    AI_PROXY_SALT: str = "change_me_in_production"
     TELEGRAM_BOT_TOKEN: str = ""
     TELEGRAM_CHAT_ID: str = ""
     UPLOAD_DIR: str = "/app/uploads"

backend/app/routers/admin.py

@@ -535,6 +535,10 @@ DEFAULT_SETTINGS = [
     {"key": "painting_cost", "value": "500", "description": "Стоимость покраски (руб/шт)"},
     {"key": "threading_cost", "value": "200", "description": "Стоимость нарезки резьбы (руб/шт)"},
     {"key": "acetone_cost", "value": "400", "description": "Стоимость ацетоновой обработки (руб/шт)"},
+    {"key": "ai_use_proxy", "value": "true", "description": "Использовать AI-прокси (true/false)"},
+    {"key": "ai_proxy_url", "value": "", "description": "URL AI-прокси"},
+    {"key": "ai_proxy_salt", "value": "", "description": "Секретная соль для AI-прокси"},
+    {"key": "ai_direct_api_key", "value": "", "description": "Google API Key для прямого подключения"},
     {"key": "company_name", "value": "Filam3D", "description": "Название компании"},
     {"key": "company_phone", "value": "", "description": "Телефон компании"},
     {"key": "company_email", "value": "", "description": "Email компании"},

backend/app/routers/calculate.py

@@ -56,7 +56,7 @@ async def calculate(
     logger.info("Params: material_id=%d, infill=%d%%, layer=%.2fmm, qty=%d, color='%s', multicolor=%s, post_processing='%s'",
                 material_id, infill_percent, layer_height_mm, quantity, color, multicolor, post_processing)
 
-    if not 10 <= infill_percent <= 100:
+    if not 5 <= infill_percent <= 100:
         logger.warning("Invalid infill_percent: %d", infill_percent)
         raise HTTPException(400, "infill_percent должен быть от 10 до 100")
     if not 0.08 <= layer_height_mm <= 0.4:

backend/app/services/ai_advisor.py

@@ -1,11 +1,14 @@
+import hashlib
 import json
 import logging
 import time
 
-from google import genai
+import httpx
-from google.genai import types
+from sqlalchemy import select
+from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.config import settings
+from app.models.app_settings import AppSettings
 
 logger = logging.getLogger("app.services.ai_advisor")
 
@@ -34,71 +37,133 @@ SYSTEM_PROMPT = """
 """
 
 
+async def _get_setting(db: AsyncSession, key: str, default: str = "") -> str:
+    result = await db.execute(select(AppSettings.value).where(AppSettings.key == key))
+    row = result.scalar_one_or_none()
+    return row if row is not None else default
+
+
+def _make_proxy_signature(salt: str) -> tuple[str, int]:
+    timestamp = int(time.time())
+    hash_input = f"{timestamp}{salt}".encode()
+    signature = hashlib.sha256(hash_input).hexdigest()
+    return signature, timestamp
+
+
+async def _call_via_proxy(proxy_url: str, proxy_salt: str, messages: list[dict]) -> str:
+    """Send request through AI proxy."""
+    signature, timestamp = _make_proxy_signature(proxy_salt)
+    headers = {
+        "x-signature": signature,
+        "x-timestamp": str(timestamp),
+    }
+    async with httpx.AsyncClient(timeout=60.0) as client:
+        resp = await client.post(
+            f"{proxy_url.rstrip('/')}/generate_text",
+            json={"messages": messages},
+            headers=headers,
+        )
+    if resp.status_code != 200:
+        logger.error("AI proxy error %d: %s", resp.status_code, resp.text[:500])
+        raise ValueError(f"AI proxy вернул ошибку: {resp.status_code}")
+
+    data = resp.json()
+    text = data.get("response", "")
+    if not text:
+        raise ValueError(f"AI proxy вернул пустой ответ (finish_reason={data.get('finish_reason')})")
+    return text
+
+
+async def _call_direct(api_key: str, system: str, user_message: str) -> str:
+    """Call Google GenAI directly via REST (no SDK dependency)."""
+    url = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}"
+    payload = {
+        "system_instruction": {"parts": [{"text": system}]},
+        "contents": [{"role": "user", "parts": [{"text": user_message}]}],
+        "generationConfig": {"temperature": 0.3, "maxOutputTokens": 1024},
+    }
+    async with httpx.AsyncClient(timeout=60.0) as client:
+        resp = await client.post(url, json=payload)
+    if resp.status_code != 200:
+        logger.error("Google API error %d: %s", resp.status_code, resp.text[:500])
+        raise ValueError(f"Google API ошибка: {resp.status_code}")
+
+    data = resp.json()
+    candidates = data.get("candidates", [])
+    if not candidates:
+        raise ValueError("Google API вернул пустой ответ")
+    parts = candidates[0].get("content", {}).get("parts", [])
+    return parts[0].get("text", "") if parts else ""
+
+
+def _parse_json_response(text: str) -> dict:
+    try:
+        return json.loads(text)
+    except json.JSONDecodeError:
+        start = text.find("{")
+        end = text.rfind("}") + 1
+        if start != -1 and end > start:
+            return json.loads(text[start:end])
+        raise ValueError("AI вернул невалидный JSON")
+
+
 async def get_material_recommendation(
     task_description: str,
     materials_data: list[dict],
     budget_preference: str = "optimal",
     file_info: dict | None = None,
+    db: AsyncSession | None = None,
 ) -> dict:
-    """Get material recommendation from Google Gemini API."""
+    """Get material recommendation — via proxy or direct, based on DB settings."""
     logger.info("=== AI Advisor request ===")
     logger.info("Task: %s", task_description)
-    logger.info("Budget preference: %s", budget_preference)
-    logger.info("File info: %s", file_info)
-    logger.info("Materials count: %d", len(materials_data))
 
-    if not settings.GOOGLE_API_KEY:
+    # Read settings from DB, fallback to config
-        logger.error("GOOGLE_API_KEY is not configured")
+    use_proxy = True
-        raise ValueError("GOOGLE_API_KEY not configured")
+    proxy_url = settings.AI_PROXY_URL
+    proxy_salt = settings.AI_PROXY_SALT
+    direct_api_key = settings.GOOGLE_API_KEY
+
+    if db:
+        use_proxy_str = await _get_setting(db, "ai_use_proxy", "true")
+        use_proxy = use_proxy_str.lower() in ("true", "1", "yes")
+        db_proxy_url = await _get_setting(db, "ai_proxy_url")
+        db_proxy_salt = await _get_setting(db, "ai_proxy_salt")
+        db_api_key = await _get_setting(db, "ai_direct_api_key")
+        if db_proxy_url:
+            proxy_url = db_proxy_url
+        if db_proxy_salt:
+            proxy_salt = db_proxy_salt
+        if db_api_key:
+            direct_api_key = db_api_key
 
     materials_json = json.dumps(materials_data, ensure_ascii=False, indent=2)
     system = SYSTEM_PROMPT.format(materials_json=materials_json)
-    logger.debug("System prompt length: %d chars", len(system))
 
     user_message = f"Описание задачи: {task_description}\nПредпочтение по бюджету: {budget_preference}"
     if file_info:
         user_message += f"\nИнформация о модели: {json.dumps(file_info, ensure_ascii=False)}"
-    logger.debug("User message: %s", user_message)
 
-    logger.info("Sending request to Gemini API (model: gemini-2.0-flash)...")
     start_time = time.time()
 
-    client = genai.Client(api_key=settings.GOOGLE_API_KEY)
+    if use_proxy:
-    response = await client.aio.models.generate_content(
+        logger.info("Mode: PROXY (%s)", proxy_url)
-        model="gemini-3-flash-preview",
+        if not proxy_url:
-        contents=user_message,
+            raise ValueError("AI proxy URL не настроен")
-        config=types.GenerateContentConfig(
+        messages = [{"role": "user", "content": system + "\n\n" + user_message}]
-            system_instruction=system,
+        response_text = await _call_via_proxy(proxy_url, proxy_salt, messages)
-            max_output_tokens=1024,
+    else:
-            temperature=0.3,
+        logger.info("Mode: DIRECT (Google API)")
-        ),
+        if not direct_api_key:
-    )
+            raise ValueError("Google API Key не настроен")
+        response_text = await _call_direct(direct_api_key, system, user_message)
 
     elapsed = time.time() - start_time
-    logger.info("Gemini API responded in %.2f seconds", elapsed)
+    logger.info("AI responded in %.2f seconds", elapsed)
-
-    response_text = response.text
     logger.debug("Raw response (%d chars): %s", len(response_text), response_text[:500])
 
-    try:
+    result = _parse_json_response(response_text)
-        result = json.loads(response_text)
+    logger.info("Recommended: id=%s, name=%s",
-        logger.info("Response parsed as JSON successfully")
+                 result.get("recommended_material_id"), result.get("recommended_material_name"))
-        logger.info("Recommended material: id=%s, name=%s",
+    logger.info("=== AI Advisor complete ===")
-                     result.get("recommended_material_id"), result.get("recommended_material_name"))
+    return result
-        logger.info("Alternatives: %d, Questions: %d",
-                     len(result.get("alternatives", [])), len(result.get("questions", [])))
-        logger.info("=== AI Advisor complete ===")
-        return result
-    except json.JSONDecodeError:
-        logger.warning("Direct JSON parse failed, trying to extract JSON from response...")
-        start = response_text.find("{")
-        end = response_text.rfind("}") + 1
-        if start != -1 and end > start:
-            extracted = response_text[start:end]
-            logger.debug("Extracted JSON substring [%d:%d]: %s", start, end, extracted[:300])
-            result = json.loads(extracted)
-            logger.info("Extracted JSON parsed successfully")
-            logger.info("=== AI Advisor complete ===")
-            return result
-        logger.error("Failed to extract JSON from AI response: %s", response_text[:200])
-        raise ValueError("AI вернул невалидный JSON")

backend/requirements.txt

@@ -10,6 +10,5 @@ numpy==2.2.1
 python-multipart==0.0.20
 httpx==0.28.1
 minio==7.2.12
-google-genai==1.14.0
 pyjwt==2.10.1
 bcrypt==4.2.1

frontend/src/components/HeroSection.vue

@@ -5,7 +5,7 @@
         3D-печать на заказ<br />с мгновенным расчётом
       </h1>
       <p class="text-base sm:text-lg text-primary-100 leading-relaxed mb-6">
-        Загрузите 3D-модель — получите точную стоимость за секунды.
+        Загрузите 3D-модель — получите приблизительную стоимость за секунды.
         7 материалов, AI-подбор, от прототипа до серии в 500 штук.
       </p>
       <div class="flex flex-wrap gap-4">

frontend/src/components/PrintSettings.vue

@@ -15,7 +15,7 @@
           type="range"
           :value="store.settings.infill_percent"
           @input="store.settings.infill_percent = +$event.target.value"
-          min="10" max="100" step="10"
+          min="10" max="100" step="5"
           class="w-full accent-primary-600"
         />
         <div class="mt-1 flex justify-between text-[10px] text-gray-400">

frontend/src/views/admin/AdminSettings.vue

@@ -110,6 +110,15 @@ const settingsGroups = [
       { key: 'acetone_smoothing_cost', label: 'Ацетоновая обработка (руб/шт)', placeholder: '400' },
     ],
   },
+  {
+    title: 'AI-ассистент',
+    items: [
+      { key: 'ai_use_proxy', label: 'Использовать AI-прокси (true/false)', placeholder: 'true' },
+      { key: 'ai_proxy_url', label: 'URL прокси', placeholder: 'http://82.22.174.14:8001' },
+      { key: 'ai_proxy_salt', label: 'Секретная соль прокси', placeholder: '' },
+      { key: 'ai_direct_api_key', label: 'Google API Key (прямое подключение)', placeholder: '' },
+    ],
+  },
   {
     title: 'Уведомления',
     items: [