fix: sync_hub syntax, openclaw password key, is_private bool, remove double logging, 14b model

automation.py

@@ -27,10 +27,7 @@ logging.basicConfig(
     level=logging.INFO,
     format="[%(asctime)s] %(message)s",
     datefmt="%H:%M:%S",
-    handlers=[
-        logging.StreamHandler(sys.stdout),
-        logging.FileHandler(BASE_DIR / "pipeline.log", encoding="utf-8"),
-    ]
+    handlers=[logging.StreamHandler(sys.stdout)]
 )
 log = logging.getLogger()
 
@@ -117,7 +114,7 @@ def push_kaggle_kernel(build_dir: Path, main_py_text: str, label: str):
             "kernel_type": "script",
             "enable_gpu": "true",
             "enable_internet": "true",
-            "is_private": "false"
+            "is_private": False
         }
         (build_dir / "kernel-metadata.json").write_text(json.dumps(meta, indent=2))
         set_kaggle_creds(acc)

start.sh

@@ -39,7 +39,7 @@ PYEOF
 
 echo "[boot] Pre-configuring OpenClaw with Ollama..."
 mkdir -p ~/.openclaw
-GATEWAY_TOKEN="${OPENCLAW_PASSWORD:-arshit2025}"
+GATEWAY_PASS="${OPENCLAW_PASSWORD:-arshit2025}"
 cat > ~/.openclaw/openclaw.json << JSONEOF
 {
   "models": {
@@ -50,8 +50,8 @@ cat > ~/.openclaw/openclaw.json << JSONEOF
         "api": "openai-responses",
         "models": [
           {
-            "id": "qwen2.5-coder:7b-instruct",
-            "name": "Qwen2.5-Coder 7B (local CPU)",
+            "id": "qwen2.5-coder:14b-instruct-q4_K_M",
+            "name": "Qwen2.5-Coder 14B (local CPU)",
             "contextWindow": 8192,
             "maxTokens": 2048,
             "cost": {"input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0},
@@ -63,12 +63,12 @@ cat > ~/.openclaw/openclaw.json << JSONEOF
   },
   "agents": {
     "defaults": {
-      "model": {"primary": "ollama/qwen2.5-coder:7b-instruct"}
+      "model": {"primary": "ollama/qwen2.5-coder:14b-instruct-q4_K_M"}
     }
   },
   "gateway": {
     "port": 8080,
-    "token": "$GATEWAY_TOKEN"
+    "password": "$GATEWAY_PASS"
   }
 }
 JSONEOF
@@ -79,7 +79,6 @@ nginx
 
 echo "[boot] Starting Ollama service..."
 OLLAMA_HOST=127.0.0.1 ollama serve &
-OLLAMA_PID=$!
 
 echo "[boot] Waiting for Ollama to be ready..."
 for i in $(seq 1 60); do
@@ -90,20 +89,14 @@ for i in $(seq 1 60); do
     sleep 2
 done
 
-echo "[boot] Pulling qwen2.5-coder:7b-instruct (~4.5 GB, first boot only)..."
-ollama pull qwen2.5-coder:7b-instruct
+echo "[boot] Pulling qwen2.5-coder:14b-instruct-q4_K_M (~8.7 GB, first boot only)..."
+ollama pull qwen2.5-coder:14b-instruct-q4_K_M
 
 echo "[boot] Starting automation pipeline..."
 python3 /app/automation.py >> /app/pipeline.log 2>&1 &
-PIPE_PID=$!
-echo "[boot] Pipeline PID: $PIPE_PID"
+echo "[boot] Pipeline PID: $!"
 
 echo "[boot] Starting OpenClaw gateway on port 8080..."
 export OPENCLAW_API_PORT=8080
 export OLLAMA_HOST=http://127.0.0.1:11434
-openclaw gateway start &
-GW_PID=$!
-
-echo "[boot] All services started. Tailing pipeline log..."
-sleep 5
-tail -f /app/pipeline.log
+openclaw gateway start

sync_hub.py

@@ -1,7 +1,7 @@
 import os
 from pathlib import Path
 
-HF_TOKEN     = os.environ.get("HF_TOKEN", "os.environ.get("HF_TOKEN","")")
+HF_TOKEN     = os.environ.get("HF_TOKEN", "")
 DATASET_REPO = os.environ.get("OPENCLAW_DATASET_REPO", "")
 
 PERSISTENT_FILES = {"topic_history.json", "fact_history.json", "token.pickle"}
@@ -16,7 +16,7 @@ def _get_api():
 
 def pull_state(base_dir: Path):
     if not DATASET_REPO or not HF_TOKEN:
-        print("OPENCLAW_DATASET_REPO not set, skipping Hub pull"); return
+        print("OPENCLAW_DATASET_REPO or HF_TOKEN not set, skipping pull"); return
     from huggingface_hub import hf_hub_download
     from huggingface_hub.utils import EntryNotFoundError, RepositoryNotFoundError
     print(f"Pulling state from {DATASET_REPO}...")