import os

from pymilvus import connections, Index, MilvusException

from utils.util_log import test_log as log
from base.collection_wrapper import ApiCollectionWrapper
from common import common_func as cf
from common import common_type as ct


def e2e_milvus(host, c_name):
    """ e2e milvus """
    log.debug(f'pid: {os.getpid()}')
    # connect
    connections.add_connection(default={"host": host, "port": 19530})
    connections.connect(alias='default')

    # create
    collection_w = ApiCollectionWrapper()
    collection_w.init_collection(name=c_name, schema=cf.gen_default_collection_schema())

    # insert
    df = cf.gen_default_dataframe_data()
    mutation_res, _ = collection_w.insert(df)
    assert mutation_res.insert_count == ct.default_nb
    log.debug(collection_w.num_entities)

    # create index
    collection_w.create_index(ct.default_float_vec_field_name, ct.default_index)
    assert collection_w.has_index()[0]
    assert collection_w.index()[0] == Index(collection_w.collection, ct.default_float_vec_field_name,
                                            ct.default_index)

    # search
    collection_w.load()
    search_res, _ = collection_w.search(cf.gen_vectors(1, dim=ct.default_dim), ct.default_float_vec_field_name,
                                        ct.default_search_params, ct.default_limit)
    assert len(search_res[0]) == ct.default_limit
    log.debug(search_res[0].ids)

    # query
    ids = search_res[0].ids[0]
    term_expr = f'{ct.default_int64_field_name} in [{ids}]'
    query_res, _ = collection_w.query(term_expr, output_fields=["*", "%"])
    assert query_res[0][ct.default_int64_field_name] == ids


def check_succ_rate(func_obj):
    """ check func succ rate"""
    log.debug(f"{func_obj.name} total: {func_obj.total}, succ: {func_obj.succ}, fail: {func_obj.fail}")
    if func_obj.total == 0:
        raise MilvusException(0, f"{func_obj.name} request total 0")
    assert func_obj.fail == 0 and func_obj.succ // func_obj.total == 1