"""thinking_with_tool_use x Microsoft Foundry (Azure).

Drive the real `claude` CLI against a running LiteLLM proxy that routes
Claude requests to Microsoft Foundry's Anthropic deployments on Azure,
enable extended thinking via `--effort high`, allow the built-in
`Bash` tool, and ask Claude to plan-and-execute a task that requires
both reasoning and a tool call. Assert the upstream returned both a
`thinking` content block and a `tool_use` content block in the same
turn.

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

    tests/e2e/claude_code/thinking_with_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",
]

THINKING_ARGS = ["--effort", "max"]
# Prompt + Bash restriction pin the executed command to `echo pong`;
# see `tool_use/test_anthropic.py` for the security rationale.
THINKING_TOOL_PROMPT = (
    "Think step by step about why the command `echo pong` prints just the "
    "word 'pong'. Then use the Bash tool to run exactly the command "
    "`echo pong` and report what it printed."
)
TOOL_USE_ARGS = [
    "--allowed-tools",
    "Bash(echo pong)",
    "--permission-mode",
    "dontAsk",
]


def _has_block_type(
    events: Sequence[Mapping[str, Any]],
    block_type: str,
) -> 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") == block_type:
                return True
    return False


@pytest.mark.covers("llm.messages.azure_foundry.thinking_with_tool_use.nonstream.works")
def test_thinking_with_tool_use_azure(compat_result):
    base_url, api_key = require_proxy(compat_result)

    outcomes = run_claude_models_parallel(
        models=AZURE_MODELS,
        prompt=THINKING_TOOL_PROMPT,
        base_url=base_url,
        api_key=api_key,
        # thinking + tools combined into a single extra_args; see THINKING_ARGS
        extra_args=THINKING_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_block_type(outcome.events, "thinking"):
            error = f"[{model}] no `thinking` content block observed"
            compat_result.add({"status": "fail", "error": error})
            failures.append(error)
            continue

        if not _has_block_type(outcome.events, "tool_use"):
            error = f"[{model}] no `tool_use` content block observed alongside thinking"
            compat_result.add({"status": "fail", "error": error})
            failures.append(error)
            continue

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

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