import os
import glob

Import('env', 'envCython', 'arch', 'cereal', 'messaging', 'common', 'gpucommon', 'visionipc', 'transformations')
lenv = env.Clone()
lenvCython = envCython.Clone()

libs = [cereal, messaging, visionipc, gpucommon, common, 'capnp', 'kj', 'pthread']
frameworks = []

common_src = [
  "models/commonmodel.cc",
  "transforms/loadyuv.cc",
  "transforms/transform.cc",
]

# OpenCL is a framework on Mac
if arch == "Darwin":
  frameworks += ['OpenCL']
else:
  libs += ['OpenCL']

# Set path definitions to repository-relative paths so prebuilt artifacts stay relocatable.
for pathdef, fn in {'TRANSFORM': 'selfdrive/modeld/transforms/transform.cl', 'LOADYUV': 'selfdrive/modeld/transforms/loadyuv.cl'}.items():
  for xenv in (lenv, lenvCython):
    xenv['CXXFLAGS'].append(f'-D{pathdef}_PATH=\\"{fn}\\"')

# Compile cython
cython_libs = envCython["LIBS"] + libs
commonmodel_lib = lenv.Library('commonmodel', common_src)
lenvCython.Program('models/commonmodel_pyx.so', 'models/commonmodel_pyx.pyx', LIBS=[commonmodel_lib, *cython_libs], FRAMEWORKS=frameworks)
tinygrad_files = ["#"+x for x in glob.glob(env.Dir("#tinygrad_repo").relpath + "/**", recursive=True, root_dir=env.Dir("#").abspath) if 'pycache' not in x]
skip_dm_tinygrad_pkl = os.getenv("SP_SKIP_DM_TINYGRAD_PKL", "").lower() in {"1", "true", "yes", "on"}
allow_host_tinygrad_pkl = os.getenv("SP_ALLOW_HOST_TINYGRAD_PKL", "").lower() in {"1", "true", "yes", "on"}
build_model_tinygrad_pkl = os.getenv("SP_BUILD_MODEL_TINYGRAD_PKL", "").lower() in {"1", "true", "yes", "on"}
has_qcom_gpu = os.path.exists('/dev/kgsl-3d0')

# Compile camera warp artifacts used by modeld/dmonitoringmodeld on C4.
if arch == 'larch64':
  compile_warp_flags = 'DEV=QCOM FLOAT16=1 NOLOCALS=1 JIT_BATCH_SIZE=0' \
    if os.path.exists('/dev/kgsl-3d0') else 'DEV=CPU CPU=1 THREADS=0 NOLOCALS=1 DEBUG=0 HOME=/tmp'
else:
  compile_warp_flags = {
    'Darwin': f'DEV=CPU THREADS=0 NOLOCALS=1 DEBUG=0 HOME={os.path.expanduser("~")}',
  }.get(arch, 'DEV=CPU CPU_LLVM=1 THREADS=0 NOLOCALS=1 DEBUG=0')

build_warp_artifacts = os.getenv("SP_BUILD_WARP_ARTIFACTS", "").lower() in {"1", "true", "yes", "on"}
if build_warp_artifacts:
  default_warp_resolutions = [(1928, 1208), (1344, 760)]
  raw_warp_resolutions = os.getenv("SP_WARP_RESOLUTIONS", "").strip()
  if raw_warp_resolutions:
    selected_warp_resolutions = []
    seen_warp_resolutions = set()
    for token in raw_warp_resolutions.replace(";", ",").split(","):
      token = token.strip().lower()
      if not token:
        continue
      w_str, h_str = token.split("x", 1)
      wh = (int(w_str), int(h_str))
      if wh not in seen_warp_resolutions:
        seen_warp_resolutions.add(wh)
        selected_warp_resolutions.append(wh)
    if not selected_warp_resolutions:
      selected_warp_resolutions = default_warp_resolutions
  else:
    selected_warp_resolutions = default_warp_resolutions

  compile_warp_script = "#selfdrive/modeld/compile_warp.py"
  warp_targets = []
  # Camera resolutions required by modeld compile_warp.py
  for w, h in selected_warp_resolutions:
    warp_targets += [File(f"models/warp_{w}x{h}_tinygrad.pkl").abspath, File(f"models/dm_warp_{w}x{h}_tinygrad.pkl").abspath]
  lenv.Command(
    warp_targets,
    tinygrad_files + [compile_warp_script],
    f'{compile_warp_flags} python3 selfdrive/modeld/compile_warp.py',
  )
else:
  print("Skipping model warp precompile (set SP_BUILD_WARP_ARTIFACTS=1 to enable)")

# Get model metadata
for model_name in ['driving_vision', 'driving_policy', 'dmonitoring_model']:
  model_rel_path = f"selfdrive/modeld/models/{model_name}"
  model_node_path = f"#{model_rel_path}"
  metadata_script = "#selfdrive/modeld/get_model_metadata.py"
  cmd = f'python3 selfdrive/modeld/get_model_metadata.py {model_rel_path}.onnx'
  lenv.Command(model_node_path + "_metadata.pkl", [model_node_path + ".onnx"] + tinygrad_files + [metadata_script], cmd)

def tg_compile(flags, model_name):
  tinygrad_root = "tinygrad_repo"
  compile_script = "#tinygrad_repo/examples/openpilot/compile3.py"
  pythonpath_string = 'PYTHONPATH="${PYTHONPATH}:' + tinygrad_root + '"'
  model_rel_path = f"selfdrive/modeld/models/{model_name}"
  model_node_path = f"#{model_rel_path}"
  model_input = f"./{model_rel_path}.onnx"
  return lenv.Command(
    model_node_path + "_tinygrad.pkl",
    [model_node_path + ".onnx"] + tinygrad_files + [compile_script],
    f'{pythonpath_string} {flags} python3 tinygrad_repo/examples/openpilot/compile3.py {model_input} {model_rel_path}_tinygrad.pkl'
  )

compile_model_tinygrad_pkl = build_model_tinygrad_pkl or allow_host_tinygrad_pkl
if not compile_model_tinygrad_pkl:
  print("Skipping tinygrad model PKL compile (set SP_BUILD_MODEL_TINYGRAD_PKL=1 or SP_ALLOW_HOST_TINYGRAD_PKL=1 to enable)")

# Compile small models
for model_name in ['driving_vision', 'driving_policy', 'dmonitoring_model']:
  if model_name == 'dmonitoring_model' and skip_dm_tinygrad_pkl:
    print("Skipping dmonitoring_model_tinygrad.pkl compile (SP_SKIP_DM_TINYGRAD_PKL enabled)")
    continue
  if not compile_model_tinygrad_pkl:
    continue
  if arch == 'larch64':
    # On real devices keep QCOM codegen.
    flags = 'DEV=QCOM QCOM=1 FLOAT16=1 NOLOCALS=1 IMAGE=2 JIT_BATCH_SIZE=0 DEBUG=0'
  else:
    # Opt-in host compile (for debugging only).
    flags = {
      'Darwin': 'DEV=CPU CPU=1 IMAGE=0 NOLOCALS=1 DEBUG=0 HOME=/tmp',
    }.get(arch, 'DEV=CPU CPU=1 IMAGE=0 NOLOCALS=1 DEBUG=0')
  tg_compile(flags, model_name)

# Compile BIG model if USB GPU is available
if "USBGPU" in os.environ:
  import subprocess
  # because tg doesn't support multi-process
  devs = subprocess.check_output('python3 -c "from tinygrad import Device; print(list(Device.get_available_devices()))"', shell=True, cwd=env.Dir('#').abspath)
  if b"AMD" in devs:
    print("USB GPU detected... building")
    flags = "DEV=AMD AMD=1 AMD_IFACE=USB AMD_LLVM=1 NOLOCALS=0 IMAGE=0 DEBUG=0"
    bp = tg_compile(flags, "big_driving_policy")
    bv = tg_compile(flags, "big_driving_vision")
    lenv.SideEffect('lock', [bp, bv])  # tg doesn't support multi-process so build serially
  else:
    print("USB GPU not detected... skipping")