feat(gemini): migrate to google-genai SDK (no more deprecation warning)

pyproject.toml

@@ -11,7 +11,7 @@ dependencies = [
     "pydantic>=2.6.0",
     "pydantic-settings>=2.2.0",
     "pyyaml>=6.0.1",
-    "google-generativeai>=0.8.0",
+    "google-genai>=0.8.0",
     "anthropic>=0.40.0",
     "openai>=1.50.0",
     "requests>=2.32.0",

src/aitrader/ai/gemini.py

@@ -1,12 +1,13 @@
-"""Google-Gemini-Client mit JSON-Output."""
+"""Google-Gemini-Client mit JSON-Output (neues google-genai SDK)."""
 from __future__ import annotations
 
 import json
 import re
 import time
 
-import google.generativeai as genai
+from google import genai
-from google.api_core.exceptions import ResourceExhausted
+from google.genai import errors as genai_errors
+from google.genai import types
 
 from ..config import Settings
 from ..logging_setup import get_logger
@@ -17,10 +18,17 @@ log = get_logger(__name__)
 
 
 def _extract_retry_seconds(err: Exception, fallback: float) -> float:
-    m = re.search(r"retry in (\d+(?:\.\d+)?)", str(err))
+    m = re.search(r"retry in (\d+(?:\.\d+)?)", str(err), re.IGNORECASE)
     return float(m.group(1)) if m else fallback
 
 
+def _is_rate_limit(err: Exception) -> bool:
+    code = getattr(err, "code", None) or getattr(err, "status_code", None)
+    if code == 429:
+        return True
+    return "429" in str(err) or "RESOURCE_EXHAUSTED" in str(err).upper()
+
+
 class GeminiClient:
     provider = "gemini"
 
@@ -29,31 +37,29 @@ class GeminiClient:
     ) -> None:
         if not settings.gemini_api_key:
             raise RuntimeError("GEMINI_API_KEY nicht gesetzt")
-        genai.configure(api_key=settings.gemini_api_key)
+        self.model = model or "gemini-2.5-flash-lite"
-        self.model = model or "gemini-2.0-flash"
         self.temperature = temperature
-        self._model = genai.GenerativeModel(
+        self.client = genai.Client(api_key=settings.gemini_api_key)
-            self.model,
+        self._config = types.GenerateContentConfig(
             system_instruction=SYSTEM_PROMPT,
+            temperature=self.temperature,
+            response_mime_type="application/json",
+            response_schema=JSON_SCHEMA,
         )
-        self.timeout = settings.ai.timeout_seconds
 
     def decide(self, user_prompt: str) -> TradeDecision:
         attempts = 0
         max_attempts = 3
         while True:
             try:
-                resp = self._model.generate_content(
+                resp = self.client.models.generate_content(
-                    user_prompt,
+                    model=self.model,
-                    generation_config={
+                    contents=user_prompt,
-                        "response_mime_type": "application/json",
+                    config=self._config,
-                        "response_schema": JSON_SCHEMA,
-                        "temperature": self.temperature,
-                    },
-                    request_options={"timeout": self.timeout},
                 )
                 break
-            except ResourceExhausted as e:
+            except genai_errors.APIError as e:
+                if _is_rate_limit(e):
                     attempts += 1
                     if attempts >= max_attempts:
                         log.warning("gemini.rate_limit_giveup", attempts=attempts)
@@ -64,10 +70,20 @@ class GeminiClient:
                     wait = min(_extract_retry_seconds(e, 30.0) + 2, 60.0)
                     log.warning("gemini.rate_limit", attempt=attempts, wait_s=wait)
                     time.sleep(wait)
-        text = resp.text or "{}"
+                    continue
+                log.warning("gemini.api_error", error=str(e)[:300])
+                return TradeDecision(
+                    action="HOLD", confidence=0.0, suggested_size_pct=0.0,
+                    reasoning=f"api_error: {e}",
+                )
+
+        text = (resp.text or "{}").strip()
         try:
             data = json.loads(text)
             return TradeDecision.model_validate(data)
         except Exception as e:
             log.warning("gemini.parse_failed", error=str(e), raw=text[:300])
-            return TradeDecision(action="HOLD", confidence=0.0, suggested_size_pct=0.0, reasoning=f"parse_error: {e}")
+            return TradeDecision(
+                action="HOLD", confidence=0.0, suggested_size_pct=0.0,
+                reasoning=f"parse_error: {e}",
+            )