import gzip
import json
import logging
from itertools import starmap, repeat, chain
from operator import itemgetter

import pytest
from frozendict import frozendict
from funcy import lfilter, compose, lzip

from pyinfra.default_objects import (
    get_callback,
    get_response_strategy,
)
from pyinfra.queue.consumer import Consumer
from pyinfra.server.packing import bytes_to_string, unpack, pack
from pyinfra.utils.func import star
from pyinfra.visitor import get_object_descriptor, QueueVisitor
from test.utils.input import adorn_data_with_storage_info

logger = logging.getLogger(__name__)


def freeze(data, metadata):
    return data, frozendict(metadata)


@pytest.fixture
def components(endpoint, bucket_name, queue_manager, storage):

    callback = get_callback(endpoint)
    consumer = Consumer(callback, queue_manager)

    visitor = QueueVisitor(storage, callback, get_response_strategy(storage))

    return visitor, queue_manager, storage, consumer


def decode(storage_item):
    storage_item = json.loads(storage_item.decode())
    if not isinstance(storage_item, list):
        storage_item = [storage_item]

    yield from map(compose(star(freeze), unpack), storage_item)


@pytest.mark.parametrize(
    "one_to_many",
    [
        False,
        True,
    ],
)
@pytest.mark.parametrize(
    "analysis_task",
    [
        False,
        True,
    ],
)
@pytest.mark.parametrize("n_items", [2])
@pytest.mark.parametrize("n_pages", [1])
@pytest.mark.parametrize("buffer_size", [2])
@pytest.mark.parametrize(
    "storage_item_has_metadata",
    [
        True,
        False,
    ],
)
@pytest.mark.parametrize(
    "item_type",
    [
        "string",
        "image",
        "pdf",
    ],
)
@pytest.mark.parametrize(
    "queue_manager_name",
    [
        "mock",
        # "pika",
    ],
    scope="session",
)
@pytest.mark.parametrize(
    "client_name",
    [
        "mock",
        # "s3",
        # "azure",
    ],
    scope="session",
)
def test_serving(
    server_process,
    input_data_items,
    unencoded_input_data,
    metadata,
    bucket_name,
    components,
    core_operation,
    storage_item_has_metadata,
    target_data_items,
    targets,
):
    visitor, queue_manager, storage, consumer = components

    queue_manager.clear()
    storage.clear_bucket(bucket_name)

    if storage_item_has_metadata:
        data_metadata_packs = starmap(compose(lambda s: s.encode(), json.dumps, pack), zip(input_data_items, metadata))
    else:
        data_metadata_packs = map(compose(lambda s: s.encode(), json.dumps, bytes_to_string), input_data_items)
        metadata = repeat({})
        targets = lzip(target_data_items, metadata)

    targets = sorted(starmap(freeze, targets), key=itemgetter(0))

    adorned_data_metadata_packs = adorn_data_with_storage_info(data_metadata_packs)

    for data, message in adorned_data_metadata_packs:
        storage.put_object(**get_object_descriptor(message), data=gzip.compress(data))
        queue_manager.publish_request(message)

    reqs = consumer.consume(inactivity_timeout=5)

    for _, req in zip(adorned_data_metadata_packs, reqs):
        queue_manager.publish_response(req, visitor)

    names_of_uploaded_files = lfilter(".out", storage.get_all_object_names(bucket_name))
    uploaded_files = [storage.get_object(bucket_name, fn) for fn in names_of_uploaded_files]

    outputs = sorted(chain(*map(decode, uploaded_files)), key=itemgetter(0))
    assert outputs == targets