import copy

from unittest.mock import patch

import pytest
from tenacity import wait_none

from haystack.errors import OpenAIError, OpenAIRateLimitError, OpenAIUnauthorizedError
from haystack.utils.openai_utils import (
    openai_request,
    _openai_text_completion_tokenization_details,
    check_openai_policy_violation,
)


@pytest.mark.unit
def test_openai_text_completion_tokenization_details_gpt_default():
    tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="not-recognized-name")
    assert tokenizer_name == "gpt2"
    assert max_tokens_limit == 2049


@pytest.mark.unit
def test_openai_text_completion_tokenization_details_gpt_davinci():
    tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="text-davinci-003")
    assert tokenizer_name == "p50k_base"
    assert max_tokens_limit == 4097


@pytest.mark.unit
def test_openai_text_completion_tokenization_details_gpt3_5_azure():
    tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="gpt-35-turbo")
    assert tokenizer_name == "cl100k_base"
    assert max_tokens_limit == 4096


@pytest.mark.unit
def test_openai_text_completion_tokenization_details_gpt3_5():
    tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="gpt-3.5-turbo")
    assert tokenizer_name == "cl100k_base"
    assert max_tokens_limit == 4096


@pytest.mark.unit
def test_openai_text_completion_tokenization_details_gpt_4():
    tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="gpt-4")
    assert tokenizer_name == "cl100k_base"
    assert max_tokens_limit == 8192


@pytest.mark.unit
def test_openai_text_completion_tokenization_details_gpt_4_32k():
    tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="gpt-4-32k")
    assert tokenizer_name == "cl100k_base"
    assert max_tokens_limit == 32768


@pytest.mark.unit
@patch("haystack.utils.openai_utils.requests")
def test_openai_request_retries_generic_error(mock_requests):
    mock_requests.request.return_value.status_code = 418

    with pytest.raises(OpenAIError):
        # We need to use a custom wait amount otherwise the test would take forever to run
        # as the original wait time is exponential
        openai_request.retry_with(wait=wait_none())(url="some_url", headers={}, payload={}, read_response=False)

    assert mock_requests.request.call_count == 5


@pytest.mark.unit
@patch("haystack.utils.openai_utils.requests")
def test_openai_request_retries_on_rate_limit_error(mock_requests):
    mock_requests.request.return_value.status_code = 429

    with pytest.raises(OpenAIRateLimitError):
        # We need to use a custom wait amount otherwise the test would take forever to run
        # as the original wait time is exponential
        openai_request.retry_with(wait=wait_none())(url="some_url", headers={}, payload={}, read_response=False)

    assert mock_requests.request.call_count == 5


@pytest.mark.unit
@patch("haystack.utils.openai_utils.requests")
def test_openai_request_does_not_retry_on_unauthorized_error(mock_requests):
    mock_requests.request.return_value.status_code = 401

    with pytest.raises(OpenAIUnauthorizedError):
        # We need to use a custom wait amount otherwise the test would take forever to run
        # as the original wait time is exponential
        openai_request.retry_with(wait=wait_none())(url="some_url", headers={}, payload={}, read_response=False)

    assert mock_requests.request.call_count == 1


@pytest.mark.unit
@patch("haystack.utils.openai_utils.requests")
def test_openai_request_does_not_retry_on_success(mock_requests):
    mock_requests.request.return_value.status_code = 200
    # We need to use a custom wait amount otherwise the test would take forever to run
    # as the original wait time is exponential
    openai_request.retry_with(wait=wait_none())(url="some_url", headers={}, payload={}, read_response=False)

    assert mock_requests.request.call_count == 1


@pytest.mark.unit
def test_check_openai_policy_violation():
    moderation_endpoint_mock_response_flagged = {
        "id": "modr-7Ok9zndoeSn5ij654vuNCgFVomU4U",
        "model": "text-moderation-004",
        "results": [
            {
                "flagged": True,
                "categories": {
                    "sexual": False,
                    "hate": False,
                    "violence": True,
                    "self-harm": True,
                    "sexual/minors": False,
                    "hate/threatening": False,
                    "violence/graphic": False,
                },
                "category_scores": {
                    "sexual": 2.6659495e-06,
                    "hate": 1.9359974e-05,
                    "violence": 0.95964026,
                    "self-harm": 0.9696306,
                    "sexual/minors": 4.1061935e-07,
                    "hate/threatening": 4.9856953e-07,
                    "violence/graphic": 0.2683866,
                },
            }
        ],
    }
    moderation_endpoint_mock_response_not_flagged = copy.deepcopy(moderation_endpoint_mock_response_flagged)
    moderation_endpoint_mock_response_not_flagged["results"][0]["flagged"] = False
    moderation_endpoint_mock_response_not_flagged["results"][0]["categories"].update(
        {"violence": False, "self-harm": False}
    )
    with patch("haystack.utils.openai_utils.openai_request") as mock_openai_request:
        # check that the function returns True if the input is flagged
        mock_openai_request.return_value = moderation_endpoint_mock_response_flagged
        assert check_openai_policy_violation(input="violent input", headers={}) == True
        # check that the function returns False if the input is not flagged
        mock_openai_request.return_value = moderation_endpoint_mock_response_not_flagged
        assert check_openai_policy_violation(input="ok input", headers={}) == False