"""tool_use x Azure (Microsoft Foundry).

Drive the real `claude` CLI against a running LiteLLM proxy that routes
Claude requests to Anthropic's models hosted in Microsoft Foundry on
Azure, ask Claude to invoke a built-in tool (`Bash`), and assert that
the upstream returned a `tool_use` content block.

Foundry's Anthropic deployments support function/tool calling
identically to anthropic.com; LiteLLM's `azure_ai/claude-*` route
inherits the full Anthropic tool-use transformation.

The (feature, provider) for this cell is inferred from the file path by
`tests/e2e/claude_code/conftest.py`:

    tests/e2e/claude_code/tool_use/test_azure.py
                       ^^^^^^^^      ^^^^^
                       feature_id    provider
"""

from __future__ import annotations

from typing import Any, Mapping, Sequence

import pytest

from claude_code._env import require_proxy
from claude_code.cli_driver import (
    ClaudeCLIError,
    failure_diagnostic,
    run_claude_models_parallel,
)


AZURE_MODELS = [
    "claude-haiku-4-5-azure",
    "claude-sonnet-4-5-azure",
    "claude-opus-4-7-azure",
]

TOOL_USE_PROMPT = (
    "Use the Bash tool to run the command `echo pong` and report what it printed."
)
# Bash is restricted to the exact command `echo pong` + `dontAsk`
# permission mode; see `tool_use/test_anthropic.py` for the security
# rationale.
TOOL_USE_ARGS = [
    "--allowed-tools",
    "Bash(echo pong)",
    "--permission-mode",
    "dontAsk",
]


def _has_tool_use_event(events: Sequence[Mapping[str, Any]]) -> bool:
    for event in events:
        if event.get("type") != "assistant":
            continue
        message = event.get("message") or {}
        content = message.get("content")
        if not isinstance(content, list):
            continue
        for block in content:
            if isinstance(block, dict) and block.get("type") == "tool_use":
                return True
    return False


@pytest.mark.covers("llm.messages.azure_foundry.tool_use.nonstream.works")
def test_tool_use_azure(compat_result):
    """Drive the `claude` CLI against the LiteLLM proxy and assert a
    tool call was emitted on the wire."""
    base_url, api_key = require_proxy(compat_result)

    outcomes = run_claude_models_parallel(
        models=AZURE_MODELS,
        prompt=TOOL_USE_PROMPT,
        base_url=base_url,
        api_key=api_key,
        extra_args=TOOL_USE_ARGS,
    )

    failures = []
    for model in AZURE_MODELS:
        outcome = outcomes[model]
        if isinstance(outcome, ClaudeCLIError):
            error = f"[{model}] {outcome}"
            compat_result.add({"status": "fail", "error": error})
            failures.append(error)
            continue

        if outcome.exit_code != 0:
            error = f"[{model}] claude CLI failed: {failure_diagnostic(outcome)}"
            compat_result.add({"status": "fail", "error": error})
            failures.append(error)
            continue

        if not _has_tool_use_event(outcome.events):
            error = (
                f"[{model}] no tool_use content block observed in stream-json events"
            )
            compat_result.add({"status": "fail", "error": error})
            failures.append(error)
            continue

        compat_result.add({"status": "pass"})

    if failures:
        pytest.fail("; ".join(failures), pytrace=False)