import os
import pathlib
import shutil

import pandas as pd
import pytest

from unstructured.metrics.evaluate import (
    measure_element_type_accuracy,
    measure_table_structure_accuracy,
    measure_text_extraction_accuracy,
)

is_in_docker = os.path.exists("/.dockerenv")

EXAMPLE_DOCS_DIRECTORY = os.path.join(
    pathlib.Path(__file__).parent.resolve(), "..", "..", "example-docs"
)
TESTING_FILE_DIR = os.path.join(EXAMPLE_DOCS_DIRECTORY, "test_evaluate_files")

UNSTRUCTURED_OUTPUT_DIRNAME = "unstructured_output"
GOLD_CCT_DIRNAME = "gold_standard_cct"
GOLD_ELEMENT_TYPE_DIRNAME = "gold_standard_element_type"
GOLD_TABLE_STRUCTURE_DIRNAME = "gold_standard_table_structure"
UNSTRUCTURED_CCT_DIRNAME = "unstructured_output_cct"
UNSTRUCTURED_TABLE_STRUCTURE_DIRNAME = "unstructured_output_table_structure"


@pytest.fixture()
def _cleanup_after_test():
    # This is where the test runs
    yield

    os.path.join(TESTING_FILE_DIR, UNSTRUCTURED_OUTPUT_DIRNAME)
    export_dir = os.path.join(TESTING_FILE_DIR, "test_evaluate_results_cct")

    # Cleanup the directory and file
    if os.path.exists(export_dir):
        shutil.rmtree(export_dir)


@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
@pytest.mark.usefixtures("_cleanup_after_test")
def test_text_extraction_evaluation():
    output_dir = os.path.join(TESTING_FILE_DIR, UNSTRUCTURED_OUTPUT_DIRNAME)
    source_dir = os.path.join(TESTING_FILE_DIR, GOLD_CCT_DIRNAME)
    export_dir = os.path.join(TESTING_FILE_DIR, "test_evaluate_results_cct")
    measure_text_extraction_accuracy(
        output_dir=output_dir, source_dir=source_dir, export_dir=export_dir
    )
    assert os.path.isfile(os.path.join(export_dir, "all-docs-cct.tsv"))
    df = pd.read_csv(os.path.join(export_dir, "all-docs-cct.tsv"), sep="\t")
    assert len(df) == 3
    assert len(df.columns) == 5
    assert df.iloc[0].filename == "Bank Good Credit Loan.pptx"


@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
@pytest.mark.usefixtures("_cleanup_after_test")
def test_text_extraction_evaluation_type_txt():
    output_dir = os.path.join(TESTING_FILE_DIR, UNSTRUCTURED_CCT_DIRNAME)
    source_dir = os.path.join(TESTING_FILE_DIR, GOLD_CCT_DIRNAME)
    export_dir = os.path.join(TESTING_FILE_DIR, "test_evaluate_results_cct_txt")
    measure_text_extraction_accuracy(
        output_dir=output_dir, source_dir=source_dir, export_dir=export_dir, output_type="txt"
    )
    assert os.path.isfile(os.path.join(export_dir, "all-docs-cct.tsv"))
    df = pd.read_csv(os.path.join(export_dir, "all-docs-cct.tsv"), sep="\t")
    assert len(df) == 3
    assert len(df.columns) == 5
    assert df.iloc[0].filename == "Bank Good Credit Loan.pptx"


@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
@pytest.mark.usefixtures("_cleanup_after_test")
def test_element_type_evaluation():
    output_dir = os.path.join(TESTING_FILE_DIR, UNSTRUCTURED_OUTPUT_DIRNAME)
    source_dir = os.path.join(TESTING_FILE_DIR, GOLD_ELEMENT_TYPE_DIRNAME)
    export_dir = os.path.join(TESTING_FILE_DIR, "test_evaluate_results_cct")
    measure_element_type_accuracy(
        output_dir=output_dir, source_dir=source_dir, export_dir=export_dir
    )
    assert os.path.isfile(os.path.join(export_dir, "all-docs-element-type-frequency.tsv"))
    df = pd.read_csv(os.path.join(export_dir, "all-docs-element-type-frequency.tsv"), sep="\t")
    assert len(df) == 1
    assert len(df.columns) == 4
    assert df.iloc[0].filename == "IRS-form-1987.pdf"


@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
@pytest.mark.usefixtures("_cleanup_after_test")
def test_table_structure_evaluation():
    output_dir = os.path.join(TESTING_FILE_DIR, UNSTRUCTURED_TABLE_STRUCTURE_DIRNAME)
    source_dir = os.path.join(TESTING_FILE_DIR, GOLD_TABLE_STRUCTURE_DIRNAME)
    export_dir = os.path.join(TESTING_FILE_DIR, "test_evaluate_table_structure")
    measure_table_structure_accuracy(
        output_dir=output_dir, source_dir=source_dir, export_dir=export_dir
    )
    assert os.path.isfile(os.path.join(export_dir, "all-docs-table-structure-accuracy.tsv"))
    assert os.path.isfile(os.path.join(export_dir, "aggregate-table-structure-accuracy.tsv"))
    df = pd.read_csv(os.path.join(export_dir, "all-docs-table-structure-accuracy.tsv"), sep="\t")
    assert len(df) == 1
    assert len(df.columns) == 9
    assert df.iloc[0].filename == "IRS-2023-Form-1095-A.pdf"


@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
@pytest.mark.usefixtures("_cleanup_after_test")
def test_text_extraction_takes_list():
    output_dir = os.path.join(TESTING_FILE_DIR, UNSTRUCTURED_OUTPUT_DIRNAME)
    output_list = ["currency.csv.json"]
    source_dir = os.path.join(TESTING_FILE_DIR, GOLD_CCT_DIRNAME)
    export_dir = os.path.join(TESTING_FILE_DIR, "test_evaluate_results_cct")
    measure_text_extraction_accuracy(
        output_dir=output_dir,
        source_dir=source_dir,
        output_list=output_list,
        export_dir=export_dir,
    )
    # check that only the listed files are included
    assert os.path.isfile(os.path.join(export_dir, "all-docs-cct.tsv"))
    df = pd.read_csv(os.path.join(export_dir, "all-docs-cct.tsv"), sep="\t")
    assert len(df) == len(output_list)


@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
@pytest.mark.usefixtures("_cleanup_after_test")
def test_text_extraction_grouping():
    output_dir = os.path.join(TESTING_FILE_DIR, UNSTRUCTURED_OUTPUT_DIRNAME)
    source_dir = os.path.join(TESTING_FILE_DIR, GOLD_CCT_DIRNAME)
    export_dir = os.path.join(TESTING_FILE_DIR, "test_evaluate_results_cct")
    measure_text_extraction_accuracy(
        output_dir=output_dir, source_dir=source_dir, export_dir=export_dir, grouping="doctype"
    )
    df = pd.read_csv(os.path.join(export_dir, "all-doctype-agg-cct.tsv"), sep="\t")
    assert len(df) == 4  # metrics row and doctype rows


@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
def test_text_extraction_wrong_type():
    output_dir = os.path.join(TESTING_FILE_DIR, UNSTRUCTURED_OUTPUT_DIRNAME)
    source_dir = os.path.join(TESTING_FILE_DIR, GOLD_CCT_DIRNAME)
    export_dir = os.path.join(TESTING_FILE_DIR, "test_evaluate_results_cct")
    with pytest.raises(ValueError):
        measure_text_extraction_accuracy(
            output_dir=output_dir, source_dir=source_dir, export_dir=export_dir, output_type="wrong"
        )