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from __future__ import annotations
from typing import Callable, Any
def client_search_testing(
search_method: Callable,
excluded_params: list[str],
alt_name_dict: dict[str, str],
custom_field_tests: dict[str, Any],
sub_doc_fields: list[str],
):
"""
Function to test a client using its search method.
Each parameter is used to query for data, which is then checked.
Args:
search_method (Callable): Client search method
excluded_params (list[str]): List of parameters to exclude from testing
alt_name_dict (dict[str, str]): Alternative names for parameters used in the projection and subsequent data checking
custom_field_tests (dict[str, Any]): Custom queries for specific fields.
sub_doc_fields (list[str]): Prefixes for fields to check in resulting data. Useful when data to be tested is nested.
"""
if search_method is not None:
# Get list of parameters
param_tuples = list(search_method.__annotations__.items())
# Query API for each numeric and boolean parameter and check if returned
for entry in param_tuples:
param = entry[0]
if param not in excluded_params:
param_type = entry[1]
q = None
if param in custom_field_tests:
q = {
param: custom_field_tests[param],
"chunk_size": 1,
"num_chunks": 1,
}
elif "tuple[int, int]" in param_type:
q = {
param: (-100, 100),
"chunk_size": 1,
"num_chunks": 1,
}
elif "tuple[float, float]" in param_type:
q = {
param: (-3000.12, 3000.12),
"chunk_size": 1,
"num_chunks": 1,
}
elif param_type is bool:
q = {
param: False,
"chunk_size": 1,
"num_chunks": 1,
}
docs = search_method(**q)
if len(docs) > 0:
doc = docs[0].model_dump()
else:
raise ValueError("No documents returned")
assert doc[alt_name_dict.get(param, param)] is not None
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