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"""One-time machine setup: container images, HF cache, benchmark test data. Idempotent."""

import os
import shutil

from . import config, sandbox

# `claude_non_api*` scaffolds abort unless this file exists; upstream fills it with a subscription
# token. Here the passthrough authenticates the request instead (see scripts/x2p_anthropic_shim.py),
# so the file only has to be present. Matches what the cloud api-key-helper hands Claude Code.
OAUTH_PLACEHOLDER = "cloud-proxy-auth-placeholder"


def setup(containers: list[str], models: list[str], tasks: list[str], full_cache: bool) -> None:
    for container in containers:
        if not config.image(container).is_file():
            print(f"Building {config.image(container)} (takes a while) ...")
            sandbox.build_image(container)

    # Upstream's trace sanitizer redacts the API keys listed in <upstream>/.env.
    upstream_env = config.UPSTREAM / ".env"
    if config.ENV_FILE.is_file() and not upstream_env.exists():
        upstream_env.symlink_to(config.ENV_FILE)

    for agent in (a for a in config.AGENTS if "non_api" in a):
        token = config.UPSTREAM / "agents" / agent / "oauth_token"
        if not token.exists():
            token.write_text(OAUTH_PLACEHOLDER)

    scratch = config.DATA_DIR / "setup_sandbox"
    hf_token = os.environ.get("HF_TOKEN", "")
    tool_container = containers[-1] if containers else config.EVAL_CONTAINER

    if full_cache:
        # Upstream's `containers/download_hf_cache/download_hf_cache.sh`: 14 models and 382 dataset
        # splits, the working set the agent is expected to have without reaching the internet.
        print("Downloading the full upstream HF cache (hundreds of GB, hours) ...")
        # Neither container image bundles hf_transfer; install it into the writable tmpfs overlay
        # before asking huggingface_hub to use it, rather than baking it into the image.
        script = config.UPSTREAM / "containers/download_hf_cache/download_resources.py"
        exit_code = sandbox.run([
            "bash", "-c", f"uv pip install --system --quiet hf_transfer && python {script}"],
            scratch=scratch, hf_cache=config.HF_CACHE,
            container=tool_container, binds={config.UPSTREAM: str(config.UPSTREAM)},
            env={"HF_TOKEN": hf_token, "HF_HUB_ENABLE_HF_TRANSFER": "1"})
        if exit_code:
            raise SystemExit("Cache download failed (gated repos such as google/gemma-3-4b-pt and "
                             f"Idavidrein/gpqa need HF_TOKEN in {config.ENV_FILE}).")

    for model in models:
        print(f"Downloading {model} ...")
        exit_code = sandbox.run(["hf", "download", model], scratch=scratch, hf_cache=config.HF_CACHE,
                                container=tool_container, env={"HF_TOKEN": hf_token})
        if exit_code:
            raise SystemExit(f"Download of {model} failed (gated models need HF_TOKEN in {config.ENV_FILE}).")

    # Test sets feed the agent's decontamination checker; upstream writes them into its task dirs.
    missing = [t for t in tasks if not (config.UPSTREAM / "src/eval/tasks" / t / "test_data.json").is_file()]
    if missing:
        print(f"Downloading test data for {missing} ...")
        script = config.UPSTREAM / "src/judges/test_data_download/download_test_data.py"
        exit_code = sandbox.run(["python", str(script), "--tasks", *missing], scratch=scratch,
                                hf_cache=config.HF_CACHE, container=tool_container,
                                binds={config.UPSTREAM: str(config.UPSTREAM)},
                                env={"MY_HF_TOKEN": hf_token})
        if exit_code:
            raise SystemExit("Test data download failed (gpqamain is gated and needs HF_TOKEN).")
    shutil.rmtree(scratch, ignore_errors=True)

	"""One-time machine setup: container images, HF cache, benchmark test data. Idempotent."""

	import os
	import shutil

	from . import config, sandbox

	# `claude_non_api*` scaffolds abort unless this file exists; upstream fills it with a subscription
	# token. Here the passthrough authenticates the request instead (see scripts/x2p_anthropic_shim.py),
	# so the file only has to be present. Matches what the cloud api-key-helper hands Claude Code.
	OAUTH_PLACEHOLDER = "cloud-proxy-auth-placeholder"


	def setup(containers: list[str], models: list[str], tasks: list[str], full_cache: bool) -> None:
	for container in containers:
	if not config.image(container).is_file():
	print(f"Building {config.image(container)} (takes a while) ...")
	sandbox.build_image(container)

	# Upstream's trace sanitizer redacts the API keys listed in <upstream>/.env.
	upstream_env = config.UPSTREAM / ".env"
	if config.ENV_FILE.is_file() and not upstream_env.exists():
	upstream_env.symlink_to(config.ENV_FILE)

	for agent in (a for a in config.AGENTS if "non_api" in a):
	token = config.UPSTREAM / "agents" / agent / "oauth_token"
	if not token.exists():
	token.write_text(OAUTH_PLACEHOLDER)

	scratch = config.DATA_DIR / "setup_sandbox"
	hf_token = os.environ.get("HF_TOKEN", "")
	tool_container = containers[-1] if containers else config.EVAL_CONTAINER

	if full_cache:
	# Upstream's `containers/download_hf_cache/download_hf_cache.sh`: 14 models and 382 dataset
	# splits, the working set the agent is expected to have without reaching the internet.
	print("Downloading the full upstream HF cache (hundreds of GB, hours) ...")
	# Neither container image bundles hf_transfer; install it into the writable tmpfs overlay
	# before asking huggingface_hub to use it, rather than baking it into the image.
	script = config.UPSTREAM / "containers/download_hf_cache/download_resources.py"
	exit_code = sandbox.run([
	"bash", "-c", f"uv pip install --system --quiet hf_transfer && python {script}"],
	scratch=scratch, hf_cache=config.HF_CACHE,
	container=tool_container, binds={config.UPSTREAM: str(config.UPSTREAM)},
	env={"HF_TOKEN": hf_token, "HF_HUB_ENABLE_HF_TRANSFER": "1"})
	if exit_code:
	raise SystemExit("Cache download failed (gated repos such as google/gemma-3-4b-pt and "
	f"Idavidrein/gpqa need HF_TOKEN in {config.ENV_FILE}).")

	for model in models:
	print(f"Downloading {model} ...")
	exit_code = sandbox.run(["hf", "download", model], scratch=scratch, hf_cache=config.HF_CACHE,
	container=tool_container, env={"HF_TOKEN": hf_token})
	if exit_code:
	raise SystemExit(f"Download of {model} failed (gated models need HF_TOKEN in {config.ENV_FILE}).")

	# Test sets feed the agent's decontamination checker; upstream writes them into its task dirs.
	missing = [t for t in tasks if not (config.UPSTREAM / "src/eval/tasks" / t / "test_data.json").is_file()]
	if missing:
	print(f"Downloading test data for {missing} ...")
	script = config.UPSTREAM / "src/judges/test_data_download/download_test_data.py"
	exit_code = sandbox.run(["python", str(script), "--tasks", *missing], scratch=scratch,
	hf_cache=config.HF_CACHE, container=tool_container,
	binds={config.UPSTREAM: str(config.UPSTREAM)},
	env={"MY_HF_TOKEN": hf_token})
	if exit_code:
	raise SystemExit("Test data download failed (gpqamain is gated and needs HF_TOKEN).")
	shutil.rmtree(scratch, ignore_errors=True)