import asyncio  # used to run async functions
# function to test
# --- Begin: litellm/llms/base_llm/ocr/transformation.py ---
from typing import TYPE_CHECKING, Any, Dict

import pytest  # used for our unit tests
from litellm.llms.base_llm.ocr.transformation import BaseOCRConfig

# DocumentType for OCR - Mistral format document dict
DocumentType = Dict[str, str]
# --- End: litellm/llms/base_llm/ocr/transformation.py ---

# ----------------- UNIT TESTS BELOW -----------------

# Helper: Subclass with working transform_ocr_request for positive test cases
class WorkingOCRConfig(BaseOCRConfig):
    def transform_ocr_request(
        self,
        model: str,
        document: DocumentType,
        optional_params: dict,
        headers: dict,
        **kwargs,
    ):
        # Returns a dict with all arguments for verification
        return {
            "model": model,
            "document": document,
            "optional_params": optional_params,
            "headers": headers,
            "kwargs": kwargs,
        }


# 1. BASIC TEST CASES

@pytest.mark.asyncio
async def test_async_transform_ocr_request_basic_returns_expected_dict():
    """
    Test that async_transform_ocr_request returns the expected dict
    when the sync method is implemented and called with basic arguments.
    """
    config = WorkingOCRConfig()
    model = "ocr-model"
    document = {"text": "sample"}
    optional_params = {"lang": "en"}
    headers = {"Authorization": "Bearer token"}
    result = await config.async_transform_ocr_request(
        model=model,
        document=document,
        optional_params=optional_params,
        headers=headers,
    )

@pytest.mark.asyncio
async def test_async_transform_ocr_request_basic_with_kwargs():
    """
    Test that async_transform_ocr_request passes through **kwargs correctly.
    """
    config = WorkingOCRConfig()
    result = await config.async_transform_ocr_request(
        model="m",
        document={"id": "1"},
        optional_params={},
        headers={},
        foo="bar",
        baz=123,
    )

@pytest.mark.asyncio
async def test_async_transform_ocr_request_empty_dicts():
    """
    Test with all empty dicts for document, optional_params, headers.
    """
    config = WorkingOCRConfig()
    result = await config.async_transform_ocr_request(
        model="empty",
        document={},
        optional_params={},
        headers={},
    )


# 2. EDGE TEST CASES

@pytest.mark.asyncio
async def test_async_transform_ocr_request_not_implemented_raises():
    """
    Test that calling async_transform_ocr_request on the base class
    raises NotImplementedError.
    """
    config = BaseOCRConfig()
    with pytest.raises(NotImplementedError) as excinfo:
        await config.async_transform_ocr_request(
            model="m",
            document={"id": "1"},
            optional_params={},
            headers={},
        )

@pytest.mark.asyncio
async def test_async_transform_ocr_request_concurrent_execution():
    """
    Test concurrent execution of async_transform_ocr_request.
    """
    config = WorkingOCRConfig()
    tasks = [
        config.async_transform_ocr_request(
            model=f"model_{i}",
            document={"page": str(i)},
            optional_params={"p": i},
            headers={"h": str(i)},
        )
        for i in range(10)
    ]
    results = await asyncio.gather(*tasks)
    for i, result in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_async_transform_ocr_request_handles_various_document_types():
    """
    Test with various document dicts to ensure type flexibility.
    """
    config = WorkingOCRConfig()
    docs = [
        {"text": "A"},  # simple
        {"file_path": "/tmp/file.png"},  # file path
        {"bytes": b"abc"},  # bytes as value
        {"url": "http://example.com"},  # URL
        {},  # empty
    ]
    for doc in docs:
        result = await config.async_transform_ocr_request(
            model="m",
            document=doc,
            optional_params={},
            headers={},
        )

@pytest.mark.asyncio
async def test_async_transform_ocr_request_kwargs_edge_cases():
    """
    Test passing in complex kwargs (including nested dicts and lists).
    """
    config = WorkingOCRConfig()
    complex_kwargs = {
        "nested": {"a": [1, 2, 3], "b": {"c": "d"}},
        "list": [1, 2, 3],
        "none": None,
    }
    result = await config.async_transform_ocr_request(
        model="m",
        document={"id": "1"},
        optional_params={},
        headers={},
        **complex_kwargs,
    )


# 3. LARGE SCALE TEST CASES

@pytest.mark.asyncio
async def test_async_transform_ocr_request_large_scale_concurrent():
    """
    Test large scale concurrent calls (up to 100 at once).
    """
    config = WorkingOCRConfig()
    n = 100
    tasks = [
        config.async_transform_ocr_request(
            model=f"m{i}",
            document={"index": str(i)},
            optional_params={"x": i},
            headers={"k": str(i)},
        )
        for i in range(n)
    ]
    results = await asyncio.gather(*tasks)
    for i, result in enumerate(results):
        pass


# 4. THROUGHPUT TEST CASES

@pytest.mark.asyncio
async def test_async_transform_ocr_request_throughput_small_load():
    """
    Throughput test: small load (10 concurrent calls).
    """
    config = WorkingOCRConfig()
    tasks = [
        config.async_transform_ocr_request(
            model="small",
            document={"i": str(i)},
            optional_params={},
            headers={},
        )
        for i in range(10)
    ]
    results = await asyncio.gather(*tasks)
    for i, result in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_async_transform_ocr_request_throughput_medium_load():
    """
    Throughput test: medium load (50 concurrent calls).
    """
    config = WorkingOCRConfig()
    tasks = [
        config.async_transform_ocr_request(
            model="medium",
            document={"i": str(i)},
            optional_params={"foo": "bar"},
            headers={"auth": "token"},
        )
        for i in range(50)
    ]
    results = await asyncio.gather(*tasks)
    for i, result in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_async_transform_ocr_request_throughput_high_volume():
    """
    Throughput test: high volume (200 concurrent calls).
    """
    config = WorkingOCRConfig()
    n = 200
    tasks = [
        config.async_transform_ocr_request(
            model="high",
            document={"idx": str(i)},
            optional_params={},
            headers={},
        )
        for i in range(n)
    ]
    results = await asyncio.gather(*tasks)
    # Spot-check a few results
    for i in [0, 50, 100, 150, 199]:
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import asyncio  # used to run async functions
# function to test
# --- Begin function under test ---
from typing import TYPE_CHECKING, Any, Dict

import pytest  # used for our unit tests
from litellm.llms.base_llm.ocr.transformation import BaseOCRConfig


class OCRRequestData:
    """
    Dummy OCRRequestData class for test purposes.
    This is assumed to be the expected return type of transform_ocr_request.
    """
    def __init__(self, data, files):
        self.data = data
        self.files = files

    def __eq__(self, other):
        if not isinstance(other, OCRRequestData):
            return False
        return self.data == other.data and self.files == other.files
# --- End function under test ---

# -------------------- UNIT TESTS BELOW --------------------

# Helper: a mock subclass that implements transform_ocr_request for testing
class DummyOCRConfig(BaseOCRConfig):
    """
    Dummy implementation of BaseOCRConfig for testing.
    Returns predictable OCRRequestData for test assertions.
    """
    def transform_ocr_request(self, model, document, optional_params, headers, **kwargs):
        # Return a dummy OCRRequestData with all inputs for easy assertion
        return OCRRequestData(
            data={
                "model": model,
                "document": document,
                "optional_params": optional_params,
                "headers": headers,
                "kwargs": kwargs,
            },
            files={"file_count": len(document) if isinstance(document, dict) else 0}
        )

@pytest.mark.asyncio
async def test_async_transform_ocr_request_basic_return_value():
    """Test that async_transform_ocr_request returns expected OCRRequestData for typical input."""
    config = DummyOCRConfig()
    model = "test-model"
    document = {"text": "This is a test document."}
    optional_params = {"lang": "en"}
    headers = {"Authorization": "Bearer token"}
    # Await the async function
    result = await config.async_transform_ocr_request(model, document, optional_params, headers)

@pytest.mark.asyncio
async def test_async_transform_ocr_request_empty_document():
    """Test async_transform_ocr_request with an empty document dict."""
    config = DummyOCRConfig()
    model = "empty-model"
    document = {}
    optional_params = {}
    headers = {}
    result = await config.async_transform_ocr_request(model, document, optional_params, headers)

@pytest.mark.asyncio
async def test_async_transform_ocr_request_with_kwargs():
    """Test that extra kwargs are passed through and included in output."""
    config = DummyOCRConfig()
    model = "kwarg-model"
    document = {"page": "1"}
    optional_params = {"foo": "bar"}
    headers = {}
    result = await config.async_transform_ocr_request(
        model, document, optional_params, headers, extra="value", another=123
    )

@pytest.mark.asyncio
async def test_async_transform_ocr_request_document_varied_types():
    """Test with document containing various types of values."""
    config = DummyOCRConfig()
    document = {
        "text": "abc",
        "number": "123",
        "unicode": "你好",
        "empty": "",
    }
    result = await config.async_transform_ocr_request(
        "model", document, {}, {}, test=True
    )

@pytest.mark.asyncio
async def test_async_transform_ocr_request_concurrent_execution():
    """Test concurrent async calls to async_transform_ocr_request."""
    config = DummyOCRConfig()
    # Prepare multiple different inputs
    calls = [
        config.async_transform_ocr_request(
            f"model-{i}", {"text": f"doc-{i}"}, {"param": i}, {"header": str(i)}
        )
        for i in range(10)
    ]
    # Run all concurrently
    results = await asyncio.gather(*calls)
    # Assert each result is correct and unique
    for i, result in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_async_transform_ocr_request_raises_not_implemented():
    """Test that the base class raises NotImplementedError by default."""
    config = BaseOCRConfig()
    with pytest.raises(NotImplementedError):
        await config.async_transform_ocr_request("m", {}, {}, {})

@pytest.mark.asyncio
async def test_async_transform_ocr_request_large_document():
    """Test with a large document dict (edge case, but <1000 keys)."""
    config = DummyOCRConfig()
    large_doc = {f"field_{i}": f"value_{i}" for i in range(500)}
    result = await config.async_transform_ocr_request("large-model", large_doc, {}, {})

@pytest.mark.asyncio
async def test_async_transform_ocr_request_special_characters():
    """Test with document fields containing special and unicode characters."""
    config = DummyOCRConfig()
    document = {"emoji": "😀", "symbols": "!@#$%^&*()"}
    result = await config.async_transform_ocr_request("special", document, {}, {})

@pytest.mark.asyncio
async def test_async_transform_ocr_request_handles_kwargs_empty():
    """Test that empty kwargs do not cause errors."""
    config = DummyOCRConfig()
    result = await config.async_transform_ocr_request("model", {"foo": "bar"}, {}, {})

# ------------------ LARGE SCALE AND THROUGHPUT TESTS ------------------

@pytest.mark.asyncio
async def test_async_transform_ocr_request_large_scale_concurrent():
    """Test many concurrent async_transform_ocr_request calls for scalability."""
    config = DummyOCRConfig()
    n = 50  # Reasonable number for unit test, <1000
    calls = [
        config.async_transform_ocr_request(
            f"model-{i}", {"text": f"doc-{i}"}, {"param": i}, {}
        )
        for i in range(n)
    ]
    results = await asyncio.gather(*calls)
    for i, result in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_async_transform_ocr_request_large_scale_varied_documents():
    """Test concurrent async_transform_ocr_request with varied document sizes."""
    config = DummyOCRConfig()
    calls = []
    for i in range(20):
        doc = {f"f{j}": str(j) for j in range(i + 1)}
        calls.append(config.async_transform_ocr_request("m", doc, {}, {}))
    results = await asyncio.gather(*calls)
    for i, result in enumerate(results):
        pass

# ------------------ THROUGHPUT TESTS ------------------

@pytest.mark.asyncio
async def test_async_transform_ocr_request_throughput_small_load():
    """Throughput: Test async_transform_ocr_request under small concurrent load."""
    config = DummyOCRConfig()
    calls = [
        config.async_transform_ocr_request("m", {"t": str(i)}, {}, {})
        for i in range(5)
    ]
    results = await asyncio.gather(*calls)

@pytest.mark.asyncio
async def test_async_transform_ocr_request_throughput_medium_load():
    """Throughput: Test async_transform_ocr_request under medium concurrent load."""
    config = DummyOCRConfig()
    calls = [
        config.async_transform_ocr_request("m", {"t": str(i)}, {}, {})
        for i in range(30)
    ]
    results = await asyncio.gather(*calls)

@pytest.mark.asyncio
async def test_async_transform_ocr_request_throughput_large_load():
    """Throughput: Test async_transform_ocr_request under a larger concurrent load."""
    config = DummyOCRConfig()
    n = 100  # Still safe for unit testing, <1000
    calls = [
        config.async_transform_ocr_request("m", {"t": str(i)}, {}, {})
        for i in range(n)
    ]
    results = await asyncio.gather(*calls)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from litellm.llms.base_llm.ocr.transformation import BaseOCRConfig