pyinfra/test/fixtures/input.py

from functools import partial
from itertools import starmap, repeat

import numpy as np
import pytest
from PIL import Image
from funcy import lmap, compose, flatten, lflatten, omit, second, first, lzip, merge

from pyinfra.server.normalization import normalize_item
from pyinfra.server.nothing import Nothing
from pyinfra.server.packing import pack, unpack
from pyinfra.utils.func import star, lift, lstarlift
from test.utils.image import image_to_bytes
from test.utils.pdf import pdf_stream


@pytest.fixture
def input_data_items(unencoded_input_data, input_data_encoder):
    return input_data_encoder(unencoded_input_data)


@pytest.fixture
def unencoded_input_data(item_type, unencoded_strings, unencoded_images, unencoded_pdfs):
    if item_type == "string":
        return unencoded_strings
    elif item_type == "image":
        return unencoded_images
    elif item_type == "pdf":
        return unencoded_pdfs
    else:
        raise ValueError(f"Unknown item type {item_type}")


@pytest.fixture
def input_data_encoder(item_type):
    if item_type == "string":
        return strings_to_bytes
    elif item_type == "image":
        return images_to_bytes
    elif item_type == "pdf":
        return pdfs_to_bytes
    else:
        raise ValueError(f"Unknown item type {item_type}")


@pytest.fixture
def unencoded_pdfs(n_items, unencoded_pdf):
    return [unencoded_pdf] * n_items


def pdfs_to_bytes(unencoded_pdfs):
    return [pdf_stream(pdf) for pdf in unencoded_pdfs]


@pytest.fixture
def target_data_items(input_data_items, core_operation, metadata):

    if core_operation is Nothing:
        return Nothing

    op = compose(normalize_item, core_operation)
    expected = lflatten(starmap(op, zip(input_data_items, metadata)))
    return expected


@pytest.fixture
def unencoded_strings(n_items):
    return [f"content{i}" for i in range(n_items)]


def strings_to_bytes(strings):
    return [bytes(s, encoding="utf8") for s in strings]


@pytest.fixture
def targets(data_message_pairs, input_data_items, operation, metadata, server_side_test, queue_message_metadata):
    """TODO: this has become super wonky"""
    metadata = [{**m1, **m2} for m1, m2 in zip(lmap(second, data_message_pairs), metadata)]

    if operation is Nothing:
        return Nothing

    op = compose(lift(star(pack)), normalize_item, operation)

    try:
        response_data, response_metadata = zip(*map(unpack, flatten(starmap(op, zip(input_data_items, metadata)))))

        queue_message_keys = ["id"] * (not server_side_test) + [*first(queue_message_metadata).keys()]
        response_metadata = lmap(partial(omit, keys=queue_message_keys), response_metadata)
        expected = lzip(response_data, response_metadata)

    except ValueError:
        expected = []

    return expected


@pytest.fixture
def endpoint(url, operation_name):
    return f"{url}/{operation_name}"


@pytest.fixture(params=["rest", "basic"])
def client_pipeline_type(request):
    return request.param


@pytest.fixture(params=[1, 0, 5])
def n_items(request):
    return request.param


@pytest.fixture(params=[0, 100])
def n_pages(request):
    return request.param


@pytest.fixture(params=[1, 5])
def buffer_size(request):
    return request.param


def array_to_image(array) -> Image.Image:
    return Image.fromarray(np.uint8(array * 255), mode="RGB")


def input_batch(n_items):
    return np.random.random_sample(size=(n_items, 3, 30, 30))


@pytest.fixture
def unencoded_images(n_items):
    return lmap(array_to_image, input_batch(n_items))


def images_to_bytes(images):
    return lmap(image_to_bytes, images)


@pytest.fixture
def metadata(n_items, many_to_n):
    """storage metadata
    TODO: rename
    """
    return list(repeat({"key": "value"}, times=n_items))


@pytest.fixture
def queue_message_metadata(n_items, operation_name):
    def metadata(i):
        return merge(
            {
                "dossierId": "dossier_id",
                "fileId": f"file_id_{i}",
            },
            ({"operation": operation_name} if operation_name else {}),
            ({"pages": [0, 2, 3]} if n_items > 1 else {}),
        )

    return lmap(metadata, range(n_items))


@pytest.fixture
def packages(input_data_items, metadata):
    return lstarlift(pack)(zip(input_data_items, metadata))