#!/usr/bin/env python3
"""Fix GPU inference: kill stuck, diagnose, restart with --novram, test."""
import paramiko, json, time, textwrap

ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect('192.168.178.150', username='fabian', key_filename=r'C:\Users\fabia\.ssh\id_ed25519')

def run(cmd, timeout=60, desc=""):
    if desc:
        print(f"\n{'='*60}\n  {desc}\n{'='*60}")
    _, stdout, stderr = ssh.exec_command(cmd, timeout=timeout)
    out = stdout.read().decode()
    err = stderr.read().decode()
    rc = stdout.channel.recv_exit_status()
    combined = out.strip()
    if combined:
        lines = combined.split('\n')
        if len(lines) > 50:
            print(f"  ... ({len(lines)} lines, showing last 50)")
            print('\n'.join(lines[-50:]))
        else:
            print(combined)
    if err.strip():
        for line in err.strip().split('\n')[-10:]:
            print(f"  STDERR: {line}")
    return rc, out, err

# ============================================================
# STEP 1: Kill stuck ComfyUI
# ============================================================
run("pkill -f 'python3 main.py' 2>/dev/null; sleep 2; "
    "pkill -9 -f 'python3 main.py' 2>/dev/null; sleep 1; "
    "echo 'Killed.'", desc="Kill stuck ComfyUI")

# ============================================================
# STEP 2: Check dmesg for GPU errors
# ============================================================
run("dmesg | grep -i -E 'amdgpu|error|fault|gpu|kiq|gfx' | tail -30",
    desc="Check dmesg for GPU errors")

# ============================================================
# STEP 3: Quick GPU sanity test
# ============================================================
run("bash -c 'source /home/fabian/comfyui-env/bin/activate && "
    "HSA_OVERRIDE_GFX_VERSION=10.1.0 HSA_ENABLE_SDMA=0 "
    "python3 -c \""
    "import torch; "
    "print(f\\\"CUDA available: {torch.cuda.is_available()}\\\"); "
    "print(f\\\"Device: {torch.cuda.get_device_name(0)}\\\"); "
    "a = torch.randn(1024, 1024, device=\\\"cuda\\\"); "
    "b = torch.randn(1024, 1024, device=\\\"cuda\\\"); "
    "c = a @ b; "
    "print(f\\\"Matmul result shape: {c.shape}, sum: {c.sum().item():.2f}\\\"); "
    "# Test fp16 "
    "a16 = a.half(); b16 = b.half(); c16 = a16 @ b16; "
    "print(f\\\"FP16 matmul OK: {c16.shape}\\\"); "
    "print(f\\\"Free VRAM: {torch.cuda.mem_get_info()[0]/1024**2:.0f} MB\\\"); "
    "print(f\\\"Total VRAM: {torch.cuda.mem_get_info()[1]/1024**2:.0f} MB\\\"); "
    "print(\\\"GPU SANITY: PASS\\\")\"'",
    desc="Quick GPU sanity test")

# ============================================================
# STEP 4: Check what ComfyUI flags are available
# ============================================================
run("bash -c 'source /home/fabian/comfyui-env/bin/activate && cd /home/fabian/ComfyUI && "
    "python3 main.py --help 2>&1 | grep -E \"novram|lowvram|cpu|fp16|force|vram|disable-smart|channels\"'",
    desc="ComfyUI VRAM-related flags")

# ============================================================
# STEP 5: Write new startup script with --novram
# ============================================================
startup_script = textwrap.dedent("""\
    #!/bin/bash
    # BC-250 ComfyUI Launcher - GPU mode with aggressive offloading
    
    # GPU identity
    export HSA_OVERRIDE_GFX_VERSION=10.1.0
    export HIP_VISIBLE_DEVICES=0
    
    # Disable SDMA (known issue on Cyan Skillfish)
    export HSA_ENABLE_SDMA=0
    
    # Suppress HSA tool warnings
    export HSA_TOOLS_LIB=""
    export HSA_TOOLS_REPORT_LOAD_FAILURE=0
    
    # Threading: use all 12 cores for CPU-side work
    export OMP_NUM_THREADS=12
    export MKL_NUM_THREADS=12
    export OPENBLAS_NUM_THREADS=12
    
    # HIP memory: allow expandable segments to reduce fragmentation
    export PYTORCH_HIP_ALLOC_CONF=expandable_segments:True
    
    # Activate venv
    source /home/fabian/comfyui-env/bin/activate
    cd /home/fabian/ComfyUI
    
    # --novram: most aggressive offloading - keeps almost nothing on GPU,
    # sends individual layers to GPU one at a time during forward pass.
    # This is needed because BC-250 has only ~7.6GB shared VRAM.
    # --disable-smart-memory: prevents ComfyUI from trying to be clever about memory
    # --force-fp16: force fp16 to halve VRAM usage
    exec python3 main.py --listen 0.0.0.0 --port 8188 --novram --force-fp16 --disable-smart-memory
""")

sftp = ssh.open_sftp()
with sftp.open('/home/fabian/start_comfyui.sh', 'w') as f:
    f.write(startup_script)
sftp.close()
run("chmod +x /home/fabian/start_comfyui.sh", desc="Make script executable")
print("\n  Startup script updated with --novram --force-fp16 --disable-smart-memory")

# ============================================================
# STEP 6: Launch ComfyUI with new settings
# ============================================================
run("bash -c 'nohup /home/fabian/start_comfyui.sh > /home/fabian/comfyui.log 2>&1 &'; sleep 1; echo 'Launched'",
    desc="Launch ComfyUI with --novram")

# Wait for server to be ready
print("\n  Waiting for server to start...")
for i in range(30):
    time.sleep(3)
    rc, out, _ = run("bash -c 'curl -s -o /dev/null -w \"%{http_code}\" http://localhost:8188/ 2>/dev/null || echo 0'")
    code = out.strip()
    if code == '200':
        print(f"  Server ready after {(i+1)*3}s!")
        break
    # Check log for errors
    rc2, log, _ = run("tail -3 /home/fabian/comfyui.log 2>/dev/null")
    if 'Error' in log or 'error' in log.lower():
        print(f"  Log: {log.strip()}")
    print(f"  [{(i+1)*3}s] HTTP {code}...")
else:
    print("  Server didn't start in 90s!")
    run("tail -40 /home/fabian/comfyui.log", desc="Startup log")
    ssh.close()
    exit(1)

# Confirm server info
run("tail -30 /home/fabian/comfyui.log", desc="Startup log")

# ============================================================
# STEP 7: Submit test workflow (smaller 512x512 image first)
# ============================================================
workflow = {
    "prompt": {
        "1": {
            "class_type": "UnetLoaderGGUF",
            "inputs": {"unet_name": "z_image_turbo-Q5_K_S.gguf"}
        },
        "2": {
            "class_type": "CLIPLoaderGGUF",
            "inputs": {"clip_name": "Qwen3-4B.i1-Q5_K_S.gguf", "type": "qwen_image"}
        },
        "3": {
            "class_type": "VAELoader",
            "inputs": {"vae_name": "ae.safetensors"}
        },
        "4": {
            "class_type": "CLIPTextEncode",
            "inputs": {
                "text": "A red fox in a snowy forest, photorealistic",
                "clip": ["2", 0]
            }
        },
        "5": {
            "class_type": "CLIPTextEncode",
            "inputs": {"text": "", "clip": ["2", 0]}
        },
        "6": {
            "class_type": "EmptyLatentImage",
            "inputs": {"width": 512, "height": 512, "batch_size": 1}
        },
        "7": {
            "class_type": "KSampler",
            "inputs": {
                "model": ["1", 0],
                "seed": 12345,
                "steps": 8,
                "cfg": 1.0,
                "sampler_name": "euler",
                "scheduler": "simple",
                "positive": ["4", 0],
                "negative": ["5", 0],
                "latent_image": ["6", 0],
                "denoise": 1.0
            }
        },
        "8": {
            "class_type": "VAEDecode",
            "inputs": {"samples": ["7", 0], "vae": ["3", 0]}
        },
        "9": {
            "class_type": "SaveImage",
            "inputs": {"images": ["8", 0], "filename_prefix": "ZImageTurbo_test"}
        }
    }
}

sftp2 = ssh.open_sftp()
with sftp2.open('/tmp/zimage_workflow.json', 'w') as f:
    f.write(json.dumps(workflow))
sftp2.close()

rc, out, _ = run("bash -c 'curl -s -X POST http://localhost:8188/prompt "
    "-H \"Content-Type: application/json\" "
    "-d @/tmp/zimage_workflow.json'",
    desc="Submit 512x512 test workflow")

prompt_id = None
try:
    resp = json.loads(out.strip())
    if 'error' in resp:
        print(f"\n  API ERROR: {resp['error']}")
        if 'node_errors' in resp:
            for nid, e in resp['node_errors'].items():
                print(f"  Node {nid}: {e}")
        ssh.close()
        exit(1)
    prompt_id = resp.get('prompt_id', 'unknown')
    print(f"\n  Prompt ID: {prompt_id}")
except:
    print(f"  Raw response: {out.strip()[:500]}")

# ============================================================
# STEP 8: Monitor generation
# ============================================================
print("\n  Monitoring GPU generation...")
last_log = ""
for i in range(120):  # up to 30 minutes
    time.sleep(15)
    
    # CPU + GPU status
    rc, status, _ = run("bash -c '"
        "PID=$(pgrep -f \"python3 main.py\" | head -1); "
        "if [ -n \"$PID\" ]; then "
        "  CPU=$(ps -p $PID -o %cpu --no-headers); "
        "  MEM=$(ps -p $PID -o %mem --no-headers); "
        "  THREADS=$(ps -p $PID -o nlwp --no-headers); "
        "  LOAD=$(cat /proc/loadavg | cut -d\" \" -f1-3); "
        "  GPU_USE=$(cat /sys/class/drm/card1/device/gpu_busy_percent 2>/dev/null || echo N/A); "
        "  VRAM_USED=$(cat /sys/class/drm/card1/device/mem_info_vram_used 2>/dev/null || echo 0); "
        "  VRAM_TOTAL=$(cat /sys/class/drm/card1/device/mem_info_vram_total 2>/dev/null || echo 1); "
        "  echo \"CPU:${CPU}% MEM:${MEM}% THR:${THREADS} LOAD:${LOAD} GPU:${GPU_USE}% VRAM:$((VRAM_USED/1048576))/$((VRAM_TOTAL/1048576))MB\"; "
        "else echo DEAD; fi'")
    
    rc, log, _ = run("bash -c 'tail -8 /home/fabian/comfyui.log 2>/dev/null'")
    log_lines = log.strip()
    
    # Show status
    status_line = status.strip()
    print(f"  [{i+1}] {(i+1)*15}s | {status_line}")
    
    # Show new log lines
    if log_lines != last_log:
        new_part = log_lines
        for line in new_part.split('\n')[-5:]:
            if line.strip():
                print(f"    LOG: {line.strip()}")
        last_log = log_lines
    
    if 'DEAD' in status_line:
        print("\n  ComfyUI DIED!")
        run("tail -60 /home/fabian/comfyui.log", desc="Death log")
        break
    
    if 'Prompt executed in' in log_lines:
        print(f"\n  SUCCESS! Image generated at check {i+1} (~{(i+1)*15}s)")
        break
    
    if 'Error' in log_lines or 'Traceback' in log_lines:
        print("\n  ERROR detected!")
        run("tail -60 /home/fabian/comfyui.log", desc="Error log")
        break

# Final check
run("ls -lah /home/fabian/ComfyUI/output/ 2>/dev/null", desc="Output files")
run("tail -25 /home/fabian/comfyui.log", desc="Final log")

ssh.close()
print("\nDone.")