"""
TurboQuant Compressed Model Tool Call Regression Suite — Issue #96

Run: pytest tests/tool_call_regression.py -v
Generate matrix: pytest tests/tool_call_regression.py --generate-matrix
"""
import json
import os
import pathlib
import re
import time
import unittest
from typing import Dict

import pytest

ROOT = pathlib.Path(__file__).resolve().parents[1]
BENCHMARKS_DIR = ROOT / "benchmarks"
RESULTS_MATRIX = BENCHMARKS_DIR / "tool-call-regression.md"

CORE_TOOLS = [
    {"name": "read_file",    "description": "Read a text file",          "args": {"path": "/tmp/test.txt"}},
    {"name": "web_search",    "description": "Search the web",            "args": {"query": "turboquant"}},
    {"name": "terminal",      "description": "Run a shell command",        "args": {"command": "echo ok"}},
    {"name": "execute_code",  "description": "Run Python code",            "args": {"code": "print(1)"}},
    {"name": "delegate_task", "description": "Delegate to subagent",       "args": {"goal": "test"}},
]

PARALLEL_TOOLS = [
    {"name": "read_file",   "args": {"path": "/tmp/a.txt"}},
    {"name": "web_search",   "args": {"query": "python"}},
    {"name": "execute_code", "args": {"code": "x=1"}},
]

PASS_THRESHOLD = 0.95


class TestToolSchemaContract(unittest.TestCase):
    def test_core_tool_schemas_are_valid_functions(self):
        for tool in CORE_TOOLS:
            schema = {
                "type": "function",
                "function": {
                    "name": tool["name"],
                    "description": tool["description"],
                    "parameters": {
                        "type": "object",
                        "properties": {},
                        "required": list(tool["args"].keys()),
                    },
                },
            }
            parsed = json.loads(json.dumps(schema))
            assert parsed["type"] == "function"
            fn = parsed["function"]
            assert fn["name"] == tool["name"]
            assert fn["description"]
            assert "parameters" in fn

    def test_parallel_tool_set_is_unique(self):
        names = [t["name"] for t in PARALLEL_TOOLS]
        assert len(names) == len(set(names))

    def test_tool_call_response_format(self):
        tc = {"id": "call_abc", "type": "function",
              "function": {"name": "read_file", "arguments": json.dumps({"path": "/tmp/test.txt"})}}
        assert tc["type"] == "function"
        args = json.loads(tc["function"]["arguments"])
        assert "path" in args

    def test_parallel_response_contains_multiple_calls(self):
        calls = [
            {"id": "c1", "type": "function", "function": {"name": "read_file",  "arguments": "{}"}},
            {"id": "c2", "type": "function", "function": {"name": "web_search",  "arguments": "{}"}},
            {"id": "c3", "type": "function", "function": {"name": "execute_code","arguments": "{}"}},
        ]
        assert len(calls) >= 3
        call_names = {c["function"]["name"] for c in calls}
        assert len(call_names) >= 2


class TestProfileConfig(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        import yaml
        cls.profile = yaml.safe_load((ROOT / "profiles" / "hermes-profile-gemma4-turboquant.yaml").read_text())

    def test_primary_provider_has_all_required_fields(self):
        """Provider must have model, endpoint, and turboquant config."""
        p = self.profile["providers"]["primary"]
        assert "model" in p
        assert "endpoint" in p
        assert "turboquant" in p
    def test_turboquant_enabled(self):
        tq = self.profile["providers"]["primary"].get("turboquant", {})
        assert tq.get("enabled") is True
        assert tq.get("kv_type") in ("turbo2", "turbo3", "turbo4")

    def test_server_command_has_turboquant_flags(self):
        cmd = self.profile["providers"]["primary"].get("server_command", "")
        assert "-ctk" in cmd and "-ctv" in cmd


@pytest.mark.skipif(
    not os.environ.get("TURBOQUANT_SERVER_URL"),
    reason="Set TURBOQUANT_SERVER_URL to run live regression"
)
class TestLiveRegression:
    RESULTS: Dict[str, bool] = {}

    def _call_model(self, tools, prompt, timeout=120):
        import requests
        url = os.environ["TURBOQUANT_SERVER_URL"]
        resp = requests.post(
            f"{url}/v1/chat/completions",
            json={"model": "gemma-4", "messages": [{"role": "user", "content": prompt}],
                  "tools": tools, "tool_choice": "auto"},
            timeout=timeout,
        )
        resp.raise_for_status()
        return resp.json()

    def _has_valid_tool_call(self, data, expected_name):
        msg = data["choices"][0]["message"]
        for tc in msg.get("tool_calls", []):
            if tc["function"]["name"] == expected_name:
                json.loads(tc["function"]["arguments"])
                return True
        return False

    def test_read_file(self):
        tools = [{"type":"function","function":{"name":"read_file","description":"Read file",
                  "parameters":{"type":"object","properties":{"path":{"type":"string"}},"required":["path"]}}}]
        data = self._call_model(tools, "Read /tmp/test.txt")
        self.__class__.RESULTS["read_file"] = self._has_valid_tool_call(data, "read_file")

    def test_web_search(self):
        tools = [{"type":"function","function":{"name":"web_search","description":"Search",
                  "parameters":{"type":"object","properties":{"query":{"type":"string"}},"required":["query"]}}}]
        data = self._call_model(tools, "Search for Python")
        self.__class__.RESULTS["web_search"] = self._has_valid_tool_call(data, "web_search")

    def test_terminal(self):
        tools = [{"type":"function","function":{"name":"terminal","description":"Shell",
                  "parameters":{"type":"object","properties":{"command":{"type":"string"}},"required":["command"]}}}]
        data = self._call_model(tools, "List files")
        self.__class__.RESULTS["terminal"] = self._has_valid_tool_call(data, "terminal")

    def test_execute_code(self):
        tools = [{"type":"function","function":{"name":"execute_code","description":"Code",
                  "parameters":{"type":"object","properties":{"code":{"type":"string"}},"required":["code"]}}}]
        data = self._call_model(tools, "Run: print('test')")
        self.__class__.RESULTS["execute_code"] = self._has_valid_tool_call(data, "execute_code")

    def test_delegate_task(self):
        tools = [{"type":"function","function":{"name":"delegate_task","description":"Delegate",
                  "parameters":{"type":"object","properties":{"goal":{"type":"string"}},"required":["goal"]}}}]
        data = self._call_model(tools, "Delegate task: test")
        self.__class__.RESULTS["delegate_task"] = self._has_valid_tool_call(data, "delegate_task")

    def test_parallel_tool_calling(self):
        tools = [
            {"type":"function","function":{"name":"read_file","description":"Read",
                "parameters":{"type":"object","properties":{"path":{"type":"string"}},"required":["path"]}},},
            {"type":"function","function":{"name":"web_search","description":"Search",
                "parameters":{"type":"object","properties":{"query":{"type":"string"}},"required":["query"]}},},
            {"type":"function","function":{"name":"execute_code","description":"Code",
                "parameters":{"type":"object","properties":{"code":{"type":"string"}},"required":["code"]}},},
        ]
        data = self._call_model(tools, "Read a.txt, search python, run code")
        msg = data["choices"][0]["message"]
        calls = msg.get("tool_calls", [])
        names = {c["function"]["name"] for c in calls}
        self.__class__.RESULTS["parallel"] = len(names) >= 2

    @classmethod
    def _accuracy(cls) -> float:
        if not cls.RESULTS:
            return 1.0
        return sum(1 for v in cls.RESULTS.values() if v) / len(cls.RESULTS)

    @classmethod
    def teardown_class(cls):
        acc = cls._accuracy()
        print(f"\nTool Call Regression Accuracy: {acc*100:.1f}% (threshold {PASS_THRESHOLD*100:.0f}%)")
        for name, passed in cls.RESULTS.items():
            print(f"  {name}: {'PASS' if passed else 'FAIL'}")
        assert acc >= PASS_THRESHOLD, f"Accuracy {acc*100:.1f}% below {PASS_THRESHOLD*100:.0f}% gate"
        if os.environ.get("GENERATE_MATRIX"):
            _append_matrix(acc, cls.RESULTS)


def _append_matrix(accuracy: float, results: Dict[str, bool]):
    timestamp = time.strftime("%Y-%m-%d %H:%M UTC", time.gmtime())
    tool_names = [t["name"] for t in CORE_TOOLS]
    tool_checks = ["✓" if results.get(n, False) else "✗" for n in tool_names]
    parallel_check = "✓" if results.get("parallel") else "✗"
    row = f"| {timestamp} | gemma-4 | turbo4 | {accuracy*100:.1f}% | " + " | ".join(tool_checks) + f" | {parallel_check} |\n"
    header = (
        "| Timestamp | Model | Preset | Accuracy | "
        + " | ".join(tool_names)
        + " | Parallel |\n"
        "|-----------|-------|--------|----------|"
        + "---|" * (len(tool_names) + 1) + "\n"
    )
    if not RESULTS_MATRIX.exists():
        RESULTS_MATRIX.write_text(header + row)
    else:
        content = RESULTS_MATRIX.read_text()
        if header not in content:
            content = header + row + content
        else:
            content = header + row + content.split(header, 1)[1]
        RESULTS_MATRIX.write_text(content)
    print(f"Matrix updated: {RESULTS_MATRIX}")


def pytest_addoption(parser):
    parser.addoption("--generate-matrix", action="store_true",
                     help="Update benchmarks/tool-call-regression.md with live results")


def pytest_configure(config):
    if config.getoption("--generate-matrix"):
        os.environ["GENERATE_MATRIX"] = "1"