feat: Implement VLM captcha solver and human-like slider trajectory

Author: goxofy

example.env

@@ -12,7 +12,7 @@ MQTT_TOPIC_PREFIX=95598
 # Application Settings
 JOB_START_TIME=07:00
 LOG_LEVEL=INFO
-RETRY_TIMES_LIMIT=15
+RETRY_TIMES_LIMIT=6
 
 # Database Settings
 ENABLE_DATABASE_STORAGE=true
@@ -22,14 +22,14 @@ DB_NAME=95598.db
 DRIVER_IMPLICITY_WAIT_TIME=60
 LOGIN_EXPECTED_TIME=10
 RETRY_WAIT_TIME_OFFSET_UNIT=10
-SLIDER_OFFSET=5
+SLIDER_OFFSET=2
 CHROME_BINARY_PATH=
 CHROMEDRIVER_PATH=
+DATA_RETENTION_DAYS=7
+# IGNORE_USER_ID=1234567890,0987654321
 
 # onnx or vlm
 CAPTCHA_SOLVER_TYPE=onnx
 VLM_API_KEY=
 VLM_BASE_URL=https://open.bigmodel.cn/api/paas/v4/
-VLM_MODEL=glm-4v-flash
-DATA_RETENTION_DAYS=7
-# IGNORE_USER_ID=1234567890,0987654321
+VLM_MODEL=glm-4v-flash

sgcc_client.py

@@ -288,7 +288,7 @@ def perform_login(self, driver):
             final_distance = int(gap_pos * scale_factor)
 
             # Apply manual offset
-            slider_offset = int(os.getenv("SLIDER_OFFSET", 5))
+            slider_offset = int(os.getenv("SLIDER_OFFSET", 2))
             final_distance += slider_offset
 
             logging.info(f"Captcha: Gap={gap_pos}, Scale={scale_factor:.2f}, Offset={slider_offset}, FinalDist={final_distance}")