Refactor czi_hosted and server into backend directory, pull common code into backend/common, refactor tests (#2102)

* move local_server -> backend/server server-> backend/czi_hosted, pull common code into backend/common update imports, tests and make commands
This commit is contained in:
Madison Dunitz
2021-03-26 00:27:07 -05:00
committed by GitHub
parent e6e358ddc8
commit 78c9d24ed4
425 changed files with 734 additions and 5317 deletions
@@ -0,0 +1,228 @@
import os
import shutil
import unittest
import random
from unittest import mock
import yaml
from backend.test import FIXTURES_ROOT
def mockenv(**envvars):
return mock.patch.dict(os.environ, envvars)
class ConfigTests(unittest.TestCase):
tmp_fixtures_directory = os.path.join(FIXTURES_ROOT, "tmp_dir")
@classmethod
def tearDownClass(cls) -> None:
shutil.rmtree(cls.tmp_fixtures_directory)
@classmethod
def setUpClass(cls) -> None:
os.makedirs(cls.tmp_fixtures_directory)
def custom_server_config(
self,
verbose="false",
debug="false",
host="localhost",
port="null",
open_browser="false",
force_https="false",
flask_secret_key="secret",
auth_type="session",
insecure_test_environment="false",
index="false",
allowed_matrix_types=[],
max_cached_datasets=5,
timelimit_s=5,
dataset_datapath="null",
obs_names="null",
var_names="null",
about="null",
title="null",
data_locater_region_name="us-east-1",
anndata_backed="false",
column_request_max=32,
diffexp_cellcount_max="null",
config_file_name="server_config.yaml",
):
configfile = os.path.join(self.tmp_fixtures_directory, config_file_name)
server_config_outline_path = os.path.join(FIXTURES_ROOT, "server_config_outline.py")
with open(server_config_outline_path, "r") as config_skeleton:
config = config_skeleton.read()
server_config = eval(config)
with open(configfile, "w") as server_config_file:
server_config_file.write(server_config)
return configfile
def custom_app_config(
self,
verbose="false",
debug="false",
host="localhost",
port="null",
open_browser="false",
force_https="false",
flask_secret_key="secret",
auth_type="session",
index="false",
allowed_matrix_types=[],
max_cached_datasets=5,
timelimit_s=5,
dataset_datapath="null",
obs_names="null",
var_names="null",
about="null",
title="null",
data_locater_region_name="us-east-1",
anndata_backed="false",
column_request_max=32,
diffexp_cellcount_max="null",
scripts=[],
inline_scripts=[],
authentication_enable="true",
max_categories=1000,
custom_colors="true",
enable_users_annotations="true",
annotation_type="local_file_csv",
db_uri="null",
hosted_file_directory="null",
local_file_csv_directory="null",
local_file_csv_file="null",
local_file_csv_gene_sets_file="null",
ontology_enabled="false",
obo_location="null",
gene_sets_readonly="false",
embedding_names=[],
enable_reembedding="false",
enable_difexp="true",
lfc_cutoff=0.01,
top_n=10,
environment=None,
aws_secrets_manager_region=None,
aws_secrets_manager_secrets=[],
config_file_name="app_config.yml",
):
random_num = random.randrange(999999)
configfile = os.path.join(self.tmp_fixtures_directory, config_file_name)
server_config = self.custom_server_config(
verbose=verbose,
debug=debug,
host=host,
port=port,
open_browser=open_browser,
force_https=force_https,
flask_secret_key=flask_secret_key,
auth_type=auth_type,
index=index,
allowed_matrix_types=allowed_matrix_types,
max_cached_datasets=max_cached_datasets,
timelimit_s=timelimit_s,
dataset_datapath=dataset_datapath,
obs_names=obs_names,
var_names=var_names,
about=about,
title=title,
data_locater_region_name=data_locater_region_name,
anndata_backed=anndata_backed,
column_request_max=column_request_max,
diffexp_cellcount_max=diffexp_cellcount_max,
config_file_name=f"temp_server_config_{random_num}.yml",
)
dataset_config = self.custom_dataset_config(
scripts=scripts,
inline_scripts=inline_scripts,
authentication_enable=authentication_enable,
max_categories=max_categories,
custom_colors=custom_colors,
enable_users_annotations=enable_users_annotations,
annotation_type=annotation_type,
db_uri=db_uri,
hosted_file_directory=hosted_file_directory,
local_file_csv_directory=local_file_csv_directory,
local_file_csv_file=local_file_csv_file,
local_file_csv_gene_sets_file=local_file_csv_gene_sets_file,
ontology_enabled=ontology_enabled,
obo_location=obo_location,
gene_sets_readonly=gene_sets_readonly,
embedding_names=embedding_names,
enable_reembedding=enable_reembedding,
enable_difexp=enable_difexp,
lfc_cutoff=lfc_cutoff,
top_n=top_n,
config_file_name=f"temp_dataset_config_{random_num}.yml",
)
external_config = self.custom_external_config(
environment=environment,
aws_secrets_manager_region=aws_secrets_manager_region,
aws_secrets_manager_secrets=aws_secrets_manager_secrets,
config_file_name=f"temp_external_config_{random_num}.yml",
)
with open(configfile, "w") as app_config_file:
app_config_file.write(open(server_config).read())
app_config_file.write(open(dataset_config).read())
app_config_file.write(open(external_config).read())
return configfile
def custom_dataset_config(
self,
scripts=[],
inline_scripts=[],
authentication_enable="true",
max_categories=1000,
custom_colors="true",
enable_users_annotations="true",
annotation_type="local_file_csv",
db_uri="null",
hosted_file_directory="null",
local_file_csv_directory="null",
local_file_csv_file="null",
local_file_csv_gene_sets_file="null",
ontology_enabled="false",
obo_location="null",
gene_sets_readonly="false",
embedding_names=[],
enable_reembedding="false",
enable_difexp="true",
lfc_cutoff=0.01,
top_n=10,
config_file_name="dataset_config.yml",
):
configfile = os.path.join(self.tmp_fixtures_directory, config_file_name)
dataset_config_outline_path = os.path.join(FIXTURES_ROOT, "dataset_config_outline.py")
with open(dataset_config_outline_path, "r") as config_skeleton:
config = config_skeleton.read()
dataset_config = eval(config)
with open(configfile, "w") as dataset_config_file:
dataset_config_file.write(dataset_config)
return configfile
def custom_external_config(
self,
environment=None,
aws_secrets_manager_region=None,
aws_secrets_manager_secrets=[],
config_file_name="external_config.yaml",
):
# set to the default if environment is None
if environment is None:
environment = [
dict(name="CXG_SECRET_KEY", path=["server", "app", "flask_secret_key"], required=False),
]
external_config = {
"external": {
"environment": environment,
"aws_secrets_manager": {"region": aws_secrets_manager_region, "secrets": aws_secrets_manager_secrets},
}
}
configfile = os.path.join(self.tmp_fixtures_directory, config_file_name)
with open(configfile, "w") as external_config_file:
yaml.dump(external_config, external_config_file)
return configfile
@@ -0,0 +1,153 @@
import os
import tempfile
import unittest
import yaml
from backend.server.default_config import default_config
from backend.server.common.config.app_config import AppConfig
from backend.common.errors import ConfigurationError
from backend.test.test_server.unit.common.config import ConfigTests
from backend.test import FIXTURES_ROOT, H5AD_FIXTURE
class AppConfigTest(ConfigTests):
def setUp(self):
self.config_file_name = f"{unittest.TestCase.id(self).split('.')[-1]}.yml"
self.config = AppConfig()
self.config.update_server_config(app__flask_secret_key="secret")
self.config.update_server_config(single_dataset__datapath=H5AD_FIXTURE)
self.server_config = self.config.server_config
self.config.complete_config()
message_list = []
def noop(message):
message_list.append(message)
messagefn = noop
self.context = dict(messagefn=messagefn, messages=message_list)
def get_config(self, **kwargs):
file_name = self.custom_app_config(
dataset_datapath=H5AD_FIXTURE, config_file_name=self.config_file_name, **kwargs
)
config = AppConfig()
config.update_from_config_file(file_name)
return config
def test_get_default_config_correctly_reads_default_config_file(self):
app_default_config = AppConfig().default_config
expected_config = yaml.load(default_config, Loader=yaml.Loader)
server_config = app_default_config["server"]
dataset_config = app_default_config["dataset"]
expected_server_config = expected_config["server"]
expected_dataset_config = expected_config["dataset"]
self.assertDictEqual(app_default_config, expected_config)
self.assertDictEqual(server_config, expected_server_config)
self.assertDictEqual(dataset_config, expected_dataset_config)
def test_get_dataset_config_returns_dataset_config_for_single_datasets(self):
datapath = f"{FIXTURES_ROOT}/1e4dfec4-c0b2-46ad-a04e-ff3ffb3c0a8f.h5ad"
file_name = self.custom_app_config(dataset_datapath=datapath, config_file_name=self.config_file_name)
config = AppConfig()
config.update_from_config_file(file_name)
self.assertEqual(config.get_dataset_config(), config.dataset_config)
def test_update_server_config_updates_server_config_and_config_status(self):
config = self.get_config()
config.complete_config()
config.check_config()
config.update_server_config(single_dataset__datapath=H5AD_FIXTURE)
with self.assertRaises(ConfigurationError):
config.server_config.check_config()
def test_write_config_outputs_yaml_with_all_config_vars(self):
config = self.get_config()
config.write_config(f"{FIXTURES_ROOT}/tmp_dir/write_config.yml")
with open(f"{FIXTURES_ROOT}/tmp_dir/{self.config_file_name}", "r") as default_config:
default_config_yml = yaml.safe_load(default_config)
with open(f"{FIXTURES_ROOT}/tmp_dir/write_config.yml", "r") as output_config:
output_config_yml = yaml.safe_load(output_config)
self.maxDiff = None
self.assertEqual(default_config_yml, output_config_yml)
def test_update_app_config(self):
config = AppConfig()
config.update_server_config(app__verbose=True, single_dataset__datapath="datapath")
vars = config.server_config.changes_from_default()
self.assertCountEqual(vars, [("app__verbose", True, False), ("single_dataset__datapath", "datapath", None)])
config = AppConfig()
config.update_dataset_config(app__scripts=(), app__inline_scripts=())
vars = config.server_config.changes_from_default()
self.assertCountEqual(vars, [])
config = AppConfig()
config.update_dataset_config(app__scripts=[], app__inline_scripts=[])
vars = config.dataset_config.changes_from_default()
self.assertCountEqual(vars, [])
config = AppConfig()
config.update_dataset_config(app__scripts=("a", "b"), app__inline_scripts=["c", "d"])
vars = config.dataset_config.changes_from_default()
self.assertCountEqual(vars, [("app__scripts", ["a", "b"], []), ("app__inline_scripts", ["c", "d"], [])])
def test_configfile_no_server_section(self):
# test a config file without a dataset section
with tempfile.TemporaryDirectory() as tempdir:
configfile = os.path.join(tempdir, "config.yaml")
with open(configfile, "w") as fconfig:
config = """
dataset:
user_annotations:
enable: false
"""
fconfig.write(config)
app_config = AppConfig()
app_config.update_from_config_file(configfile)
server_changes = app_config.server_config.changes_from_default()
dataset_changes = app_config.dataset_config.changes_from_default()
self.assertEqual(server_changes, [])
self.assertEqual(dataset_changes, [("user_annotations__enable", False, True)])
def test_simple_update_single_config_from_path_and_value(self):
"""Update a simple config parameter"""
config = AppConfig()
config.server_config.single_dataset__datapath = "my/data/path"
# test simple value in server
config.update_single_config_from_path_and_value(["server", "app", "flask_secret_key"], "mysecret")
self.assertEqual(config.server_config.app__flask_secret_key, "mysecret")
# test simple value in default dataset
config.update_single_config_from_path_and_value(
["dataset", "user_annotations", "ontology", "obo_location"], "dummy_location",
)
self.assertEqual(config.dataset_config.user_annotations__ontology__obo_location, "dummy_location")
# error checking
bad_paths = [
(
["dataset", "does", "not", "exist"],
"unknown config parameter at path: '['dataset', 'does', 'not', 'exist']'",
),
(["does", "not", "exist"], "path must start with 'server', or 'dataset'"),
([], "path must start with 'server', or 'dataset'"),
([1, 2, 3], "path must be a list of strings, got '[1, 2, 3]'"),
("string", "path must be a list of strings, got 'string'"),
]
for bad_path, error_message in bad_paths:
with self.assertRaises(ConfigurationError) as config_error:
config.update_single_config_from_path_and_value(bad_path, "value")
self.assertEqual(config_error.exception.message, error_message)
@@ -0,0 +1,63 @@
import unittest
from backend.server.common.config.app_config import AppConfig
from backend.test import H5AD_FIXTURE
from backend.common.errors import ConfigurationError
from backend.test.test_server.unit.common.config import ConfigTests
class BaseConfigTest(ConfigTests):
def setUp(self):
self.config_file_name = f"{unittest.TestCase.id(self).split('.')[-1]}.yml"
self.config = AppConfig()
self.config.update_server_config(app__flask_secret_key="secret")
self.config.update_server_config(single_dataset__datapath=H5AD_FIXTURE)
self.server_config = self.config.server_config
self.config.complete_config()
message_list = []
def noop(message):
message_list.append(message)
messagefn = noop
self.context = dict(messagefn=messagefn, messages=message_list)
def get_config(self, **kwargs):
file_name = self.custom_app_config(
dataset_datapath=f"{H5AD_FIXTURE}", config_file_name=self.config_file_name, **kwargs
)
config = AppConfig()
config.update_from_config_file(file_name)
return config
def test_mapping_creation_returns_map_of_server_and_dataset_config(self):
config = AppConfig()
mapping = config.dataset_config.create_mapping(config.default_config)
self.assertIsNotNone(mapping["server__app__verbose"])
self.assertIsNotNone(mapping["dataset__presentation__max_categories"])
self.assertIsNotNone(mapping["dataset__user_annotations__ontology__obo_location"])
def test_changes_from_default_returns_list_of_nondefault_config_values(self):
config = self.get_config(verbose="true", lfc_cutoff=0.05)
server_changes = config.server_config.changes_from_default()
dataset_changes = config.dataset_config.changes_from_default()
self.assertEqual(
server_changes,
[
("app__verbose", True, False),
("app__flask_secret_key", "secret", None),
("single_dataset__datapath", H5AD_FIXTURE, None),
('data_locator__s3__region_name', 'us-east-1', True)
],
)
self.assertEqual(dataset_changes, [("diffexp__lfc_cutoff", 0.05, 0.01)])
def test_check_config_throws_error_if_attr_has_not_been_checked(self):
config = self.get_config(verbose="true")
config.complete_config()
config.check_config()
config.update_server_config(app__verbose=False)
with self.assertRaises(ConfigurationError):
config.check_config()
@@ -0,0 +1,157 @@
import os
import tempfile
import unittest
from unittest.mock import patch
from backend.server.common.annotations.local_file_csv import AnnotationsLocalFile
from backend.server.common.config.app_config import AppConfig
from backend.server.common.config.base_config import BaseConfig
from backend.test import FIXTURES_ROOT, H5AD_FIXTURE
from backend.common.errors import ConfigurationError
from backend.test.test_server.unit.common.config import ConfigTests
class TestDatasetConfig(ConfigTests):
def setUp(self):
self.config_file_name = f"{unittest.TestCase.id(self).split('.')[-1]}.yml"
self.config = AppConfig()
self.config.update_server_config(app__flask_secret_key="secret")
self.config.update_server_config(single_dataset__datapath=H5AD_FIXTURE)
self.dataset_config = self.config.dataset_config
self.config.complete_config()
message_list = []
def noop(message):
message_list.append(message)
messagefn = noop
self.context = dict(messagefn=messagefn, messages=message_list)
def get_config(self, **kwargs):
file_name = self.custom_app_config(dataset_datapath=H5AD_FIXTURE, **kwargs)
config = AppConfig()
config.update_from_config_file(file_name)
return config
def test_init_datatset_config_sets_vars_from_config(self):
config = AppConfig()
self.assertEqual(config.dataset_config.presentation__max_categories, 1000)
self.assertEqual(config.dataset_config.user_annotations__type, "local_file_csv")
self.assertEqual(config.dataset_config.diffexp__lfc_cutoff, 0.01)
self.assertIsNone(config.dataset_config.user_annotations__ontology__obo_location)
@patch("backend.server.common.config.dataset_config.BaseConfig.validate_correct_type_of_configuration_attribute")
def test_complete_config_checks_all_attr(self, mock_check_attrs):
mock_check_attrs.side_effect = BaseConfig.validate_correct_type_of_configuration_attribute()
self.dataset_config.complete_config(self.context)
self.assertIsNotNone(self.config.server_config.data_adaptor)
self.assertEqual(mock_check_attrs.call_count, 19)
def test_app_sets_script_vars(self):
config = self.get_config(scripts=["path/to/script"])
config.dataset_config.handle_app()
self.assertEqual(config.dataset_config.app__scripts, [{"src": "path/to/script"}])
config = self.get_config(scripts=[{"src": "path/to/script", "more": "different/script/path"}])
config.dataset_config.handle_app()
self.assertEqual(
config.dataset_config.app__scripts, [{"src": "path/to/script", "more": "different/script/path"}]
)
config = self.get_config(scripts=["path/to/script", "different/script/path"])
config.dataset_config.handle_app()
# TODO @madison -- is this the desired functionality?
self.assertEqual(
config.dataset_config.app__scripts, [{"src": "path/to/script"}, {"src": "different/script/path"}]
)
config = self.get_config(scripts=[{"more": "different/script/path"}])
with self.assertRaises(ConfigurationError):
config.dataset_config.handle_app()
def test_handle_user_annotations_ensures_auth_is_enabled_with_valid_auth_type(self):
config = self.get_config(enable_users_annotations="true", authentication_enable="false")
config.server_config.complete_config(self.context)
with self.assertRaises(ConfigurationError):
config.dataset_config.handle_user_annotations(self.context)
config = self.get_config(enable_users_annotations="true", authentication_enable="true", auth_type="pretend")
with self.assertRaises(ConfigurationError):
config.server_config.complete_config(self.context)
def test_handle_user_annotations__instantiates_user_annotations_class_correctly(self):
config = self.get_config(
enable_users_annotations="true", authentication_enable="true", annotation_type="local_file_csv"
)
config.server_config.complete_config(self.context)
config.dataset_config.handle_user_annotations(self.context)
self.assertIsInstance(config.dataset_config.user_annotations, AnnotationsLocalFile)
config = self.get_config(
enable_users_annotations="true", authentication_enable="true", annotation_type="NOT_REAL"
)
config.server_config.complete_config(self.context)
with self.assertRaises(ConfigurationError):
config.dataset_config.handle_user_annotations(self.context)
def test_handle_local_file_csv_annotations__sets_dir_if_not_passed_in(self):
config = self.get_config(
enable_users_annotations="true", authentication_enable="true", annotation_type="local_file_csv"
)
config.server_config.complete_config(self.context)
config.dataset_config.handle_local_file_csv_annotations(self.context)
self.assertIsInstance(config.dataset_config.user_annotations, AnnotationsLocalFile)
cwd = os.getcwd()
self.assertEqual(config.dataset_config.user_annotations._get_output_dir(), cwd)
def test_handle_embeddings__checks_data_file_types(self):
file_name = self.custom_app_config(
embedding_names=["name1", "name2"],
enable_reembedding="true",
dataset_datapath=f"{FIXTURES_ROOT}/pbmc3k-CSC-gz.h5ad",
anndata_backed="true",
config_file_name=self.config_file_name,
)
config = AppConfig()
config.update_from_config_file(file_name)
config.server_config.complete_config(self.context)
with self.assertRaises(ConfigurationError):
config.dataset_config.handle_embeddings()
def test_handle_diffexp__raises_warning_for_large_datasets(self):
config = self.get_config(lfc_cutoff=0.02, enable_difexp="true", top_n=15)
config.server_config.complete_config(self.context)
config.dataset_config.handle_diffexp(self.context)
self.assertEqual(len(self.context["messages"]), 1)
def test_configfile_with_specialization(self):
# test that per_dataset_config config load the default config, then the specialized config
with tempfile.TemporaryDirectory() as tempdir:
configfile = os.path.join(tempdir, "config.yaml")
with open(configfile, "w") as fconfig:
config = """
server:
single_dataset:
datapath: fake_datapath
dataset:
user_annotations:
enable: false
type: local_file_csv
local_file_csv:
file: fake_file
directory: fake_dir
"""
fconfig.write(config)
app_config = AppConfig()
app_config.update_from_config_file(configfile)
test_config = app_config.dataset_config
# test config from default
self.assertEqual(test_config.user_annotations__type, "local_file_csv")
self.assertEqual(test_config.user_annotations__local_file_csv__file, "fake_file")
@@ -0,0 +1,216 @@
import os
from unittest.mock import patch
import requests
from backend.common.errors import ConfigurationError
from backend.server.common.config.app_config import AppConfig
from backend.test.test_server.unit import test_server
from backend.test import FIXTURES_ROOT
from backend.common.utils.type_conversion_utils import convert_string_to_value
from backend.test.test_server.unit.common.config import ConfigTests
class TestExternalConfig(ConfigTests):
def test_type_convert(self):
# The values from environment variables and aws secrets are returned as strings.
# These values need to be converted to the proper types.
self.assertEqual(convert_string_to_value("1"), int(1))
self.assertEqual(convert_string_to_value("1.1"), float(1.1))
self.assertEqual(convert_string_to_value("string"), "string")
self.assertEqual(convert_string_to_value("true"), True)
self.assertEqual(convert_string_to_value("True"), True)
self.assertEqual(convert_string_to_value("false"), False)
self.assertEqual(convert_string_to_value("False"), False)
self.assertEqual(convert_string_to_value("null"), None)
self.assertEqual(convert_string_to_value("None"), None)
self.assertEqual(convert_string_to_value("{'a':10, 'b':'string'}"), dict(a=int(10), b="string"))
def test_environment_variable(self):
configfile = self.custom_external_config(
environment=[
dict(name="DATAPATH", path=["server", "single_dataset", "datapath"], required=True),
dict(name="DIFFEXP", path=["dataset", "diffexp", "enable"], required=True),
],
config_file_name="environment_external_config.yaml",
)
env = os.environ
env["DATAPATH"] = f"{FIXTURES_ROOT}/pbmc3k-CSC-gz.h5ad"
env["DIFFEXP"] = "False"
with test_server(command_line_args=["-c", configfile], env=env) as server:
session = requests.Session()
response = session.get(f"{server}/api/v0.2/config")
data_config = response.json()
self.assertEqual(data_config["config"]["displayNames"]["dataset"], "pbmc3k-CSC-gz")
self.assertTrue(data_config["config"]["parameters"]["disable-diffexp"])
env["DATAPATH"] = f"{FIXTURES_ROOT}/a95c59b4-7f5d-4b80-ad53-a694834ca18b.h5ad"
env["DIFFEXP"] = "True"
with test_server(command_line_args=["-c", configfile], env=env) as server:
session = requests.Session()
response = session.get(f"{server}/api/v0.2/config")
data_config = response.json()
self.assertEqual(data_config["config"]["displayNames"]["dataset"], "a95c59b4-7f5d-4b80-ad53-a694834ca18b")
self.assertFalse(data_config["config"]["parameters"]["disable-diffexp"])
def test_environment_variable_errors(self):
# no name
app_config = AppConfig()
app_config.external_config.environment = [dict(required=True, path=["this", "is", "a", "path"])]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "environment: 'name' is missing")
# required has wrong type
app_config = AppConfig()
app_config.external_config.environment = [
dict(name="myenvar", required="optional", path=["this", "is", "a", "path"])
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "environment: 'required' must be a bool")
# no path
app_config = AppConfig()
app_config.external_config.environment = [dict(name="myenvar", required=True)]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "environment: 'path' is missing")
# required environment variable is not set
app_config = AppConfig()
app_config.external_config.environment = [
dict(name="THIS_ENV_IS_NOT_SET", required=True, path=["this", "is", "a", "path"])
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "required environment variable 'THIS_ENV_IS_NOT_SET' not set")
@patch("backend.server.common.config.external_config.get_secret_key")
def test_aws_secrets_manager(self, mock_get_secret_key):
mock_get_secret_key.return_value = {
"flask_secret_key": "mock_flask_secret_key",
}
configfile = self.custom_external_config(
aws_secrets_manager_region="us-west-2",
aws_secrets_manager_secrets=[
dict(
name="my_secret",
values=[
dict(key="flask_secret_key", path=["server", "app", "flask_secret_key"], required=True),
],
)
],
config_file_name="secret_external_config.yaml",
)
app_config = AppConfig()
app_config.update_from_config_file(configfile)
app_config.server_config.single_dataset__datapath = f"{FIXTURES_ROOT}/pbmc3k-CSC-gz.h5ad"
app_config.complete_config()
self.assertEqual(app_config.server_config.app__flask_secret_key, "mock_flask_secret_key")
@patch("backend.server.common.config.external_config.get_secret_key")
def test_aws_secrets_manager_error(self, mock_get_secret_key):
mock_get_secret_key.return_value = {
"db_uri": "mock_db_uri",
}
# no region
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = None
app_config.external_config.aws_secrets_manager__secrets = [
dict(name="secret1", values=[dict(key="key1", required=True, path=["this", "is", "my", "path"])])
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(
config_error.exception.message,
"Invalid type for attribute: aws_secrets_manager__region, expected type str, got NoneType",
)
# missing secret name
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = "us-west-2"
app_config.external_config.aws_secrets_manager__secrets = [
dict(values=[dict(key="db_uri", required=True, path=["this", "is", "my", "path"])])
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "aws_secrets_manager: 'name' is missing")
# secret name wrong type
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = "us-west-2"
app_config.external_config.aws_secrets_manager__secrets = [
dict(name=1, values=[dict(key="db_uri", required=True, path=["this", "is", "my", "path"])])
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "aws_secrets_manager: 'name' must be a string")
# missing values name
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = "us-west-2"
app_config.external_config.aws_secrets_manager__secrets = [dict(name="mysecret")]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "aws_secrets_manager: 'values' is missing")
# values wrong type
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = "us-west-2"
app_config.external_config.aws_secrets_manager__secrets = [
dict(name="mysecret", values=dict(key="db_uri", required=True, path=["this", "is", "my", "path"]))
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "aws_secrets_manager: 'values' must be a list")
# entry missing key
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = "us-west-2"
app_config.external_config.aws_secrets_manager__secrets = [
dict(name="mysecret", values=[dict(required=True, path=["this", "is", "my", "path"])])
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "missing 'key' in secret values: mysecret")
# entry required is wrong type
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = "us-west-2"
app_config.external_config.aws_secrets_manager__secrets = [
dict(name="mysecret", values=[dict(key="db_uri", required="optional", path=["this", "is", "my", "path"])])
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "wrong type for 'required' in secret values: mysecret")
# entry missing path
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = "us-west-2"
app_config.external_config.aws_secrets_manager__secrets = [
dict(name="mysecret", values=[dict(key="db_uri", required=True)])
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "missing 'path' in secret values: mysecret")
# secret missing required key
app_config = AppConfig()
app_config.external_config.aws_secrets_manager__region = "us-west-2"
app_config.external_config.aws_secrets_manager__secrets = [
dict(
name="mysecret",
values=[dict(key="KEY_DOES_NOT_EXIST", required=True, path=["this", "is", "a", "path"])],
)
]
with self.assertRaises(ConfigurationError) as config_error:
app_config.complete_config()
self.assertEqual(config_error.exception.message, "required secret 'mysecret:KEY_DOES_NOT_EXIST' not set")
@@ -0,0 +1,122 @@
import os
import unittest
from unittest import mock
from unittest.mock import patch
from backend.server.common.config.base_config import BaseConfig
from backend.test import H5AD_FIXTURE
from backend.server.common.config.app_config import AppConfig
from backend.common.errors import ConfigurationError
from backend.test.test_server.unit.common.config import ConfigTests
def mockenv(**envvars):
return mock.patch.dict(os.environ, envvars)
class TestServerConfig(ConfigTests):
def setUp(self):
self.config_file_name = f"{unittest.TestCase.id(self).split('.')[-1]}.yml"
self.config = AppConfig()
self.config.update_server_config(app__flask_secret_key="secret")
self.config.update_server_config(single_dataset__datapath=H5AD_FIXTURE)
self.server_config = self.config.server_config
self.config.complete_config()
message_list = []
def noop(message):
message_list.append(message)
messagefn = noop
self.context = dict(messagefn=messagefn, messages=message_list)
def get_config(self, **kwargs):
file_name = self.custom_app_config(
dataset_datapath=f"{H5AD_FIXTURE}", config_file_name=self.config_file_name, **kwargs
)
config = AppConfig()
config.update_from_config_file(file_name)
return config
def test_init_raises_error_if_default_config_is_invalid(self):
invalid_config = self.get_config(port="not_valid")
with self.assertRaises(ConfigurationError):
invalid_config.complete_config()
@patch("backend.server.common.config.server_config.BaseConfig.validate_correct_type_of_configuration_attribute")
def test_complete_config_checks_all_attr(self, mock_check_attrs):
mock_check_attrs.side_effect = BaseConfig.validate_correct_type_of_configuration_attribute()
self.server_config.complete_config(self.context)
self.assertEqual(mock_check_attrs.call_count, 20)
def test_handle_app__throws_error_if_port_doesnt_exist(self):
config = self.get_config(port=99999999)
with self.assertRaises(ConfigurationError):
config.server_config.handle_app(self.context)
@patch("backend.server.common.config.server_config.discover_s3_region_name")
def test_handle_data_locator_works_for_default_types(self, mock_discover_region_name):
mock_discover_region_name.return_value = None
# Default config
self.assertEqual(self.config.server_config.data_locator__s3__region_name, None)
# hard coded
config = self.get_config()
self.assertEqual(config.server_config.data_locator__s3__region_name, "us-east-1")
# incorrectly formatted
datapath = "s3://shouldnt/work"
file_name = self.custom_app_config(
dataset_datapath=datapath, config_file_name=self.config_file_name, data_locater_region_name="true"
)
config = AppConfig()
config.update_from_config_file(file_name)
with self.assertRaises(ConfigurationError):
config.server_config.handle_data_locator()
def test_handle_app___can_use_envar_port(self):
config = self.get_config(port=24)
self.assertEqual(config.server_config.app__port, 24)
# Note if the port is set in the config file it will NOT be overwritten by a different envvar
os.environ["CXG_SERVER_PORT"] = "4008"
self.config = AppConfig()
self.config.update_server_config(app__flask_secret_key="secret")
self.config.server_config.handle_app(self.context)
self.assertEqual(self.config.server_config.app__port, 4008)
del os.environ["CXG_SERVER_PORT"]
def test_handle_app__can_get_secret_key_from_envvar_or_config_file_with_envvar_given_preference(self):
config = self.get_config(flask_secret_key="KEY_FROM_FILE")
self.assertEqual(config.server_config.app__flask_secret_key, "KEY_FROM_FILE")
os.environ["CXG_SECRET_KEY"] = "KEY_FROM_ENV"
config.external_config.handle_environment(self.context)
self.assertEqual(config.server_config.app__flask_secret_key, "KEY_FROM_ENV")
def test_config_for_single_dataset(self):
file_name = self.custom_app_config(
config_file_name="single_dataset.yml", dataset_datapath=f"{H5AD_FIXTURE}"
)
config = AppConfig()
config.update_from_config_file(file_name)
config.server_config.handle_single_dataset(self.context)
file_name = self.custom_app_config(
config_file_name="single_dataset_with_about.yml",
about="www.cziscience.com",
dataset_datapath=f"{H5AD_FIXTURE}",
)
config = AppConfig()
config.update_from_config_file(file_name)
with self.assertRaises(ConfigurationError):
config.server_config.handle_single_dataset(self.context)
def test_test_auth_only_in_insecure(self):
config = self.get_config(auth_type="test")
with self.assertRaises(ConfigurationError):
config.complete_config()
config.update_server_config(authentication__insecure_test_environment=True)
config.complete_config()
@@ -0,0 +1,823 @@
import shutil
import time
import unittest
import zlib
from http import HTTPStatus
import tempfile
from os import path
import pandas as pd
import requests
import backend.test.decode_fbs as decode_fbs
from backend.server.data_common.matrix_loader import MatrixDataType
from backend.test.test_server.unit import (
data_with_tmp_annotations,
make_fbs,
start_test_server,
stop_test_server,
)
from backend.test.fixtures.fixtures import pbmc3k_colors
from backend.test import PROJECT_ROOT, FIXTURES_ROOT
BAD_FILTER = {"filter": {"obs": {"annotation_value": [{"name": "xyz"}]}}}
# TODO (mweiden): remove ANNOTATIONS_ENABLED and Annotation subclasses when annotations are no longer experimental
class EndPoints(object):
ANNOTATIONS_ENABLED = True
GENESETS_READONLY = False
def test_initialize(self):
endpoint = "schema"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
self.assertEqual(result_data["schema"]["dataframe"]["nObs"], 2638)
self.assertEqual(len(result_data["schema"]["annotations"]["obs"]), 2)
self.assertEqual(
len(result_data["schema"]["annotations"]["obs"]["columns"]), 6 if self.ANNOTATIONS_ENABLED else 5
)
def test_config(self):
endpoint = "config"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
self.assertIn("library_versions", result_data["config"])
self.assertEqual(result_data["config"]["displayNames"]["dataset"], "pbmc3k")
self.assertIsNotNone(result_data["config"]["parameters"])
def test_get_layout_fbs(self):
endpoint = "layout/obs"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 8)
self.assertIsNotNone(df["columns"])
self.assertSetEqual(
set(df["col_idx"]),
{"pca_0", "pca_1", "tsne_0", "tsne_1", "umap_0", "umap_1", "draw_graph_fr_0", "draw_graph_fr_1"},
)
self.assertIsNone(df["row_idx"])
self.assertEqual(len(df["columns"]), df["n_cols"])
def test_put_layout_fbs(self):
# first check that re-embedding is turned on
result = self.session.get(f"{self.URL_BASE}config")
config_data = result.json()
re_embed = config_data["config"]["parameters"]["enable-reembedding"]
if not re_embed:
return
# attempt to reembed with umap over 100 cells.
endpoint = "layout/obs"
url = f"{self.URL_BASE}{endpoint}"
data = {}
data["filter"] = {}
data["filter"]["obs"] = {}
data["filter"]["obs"]["index"] = list(range(100))
data["method"] = "umap"
result = self.session.put(url, json=data)
self.assertEqual(result.status_code, HTTPStatus.OK)
result_data = result.json()
self.assertIsInstance(result_data, dict)
self.assertEqual(result_data["type"], "float32")
self.assertTrue(result_data["name"].startswith("reembed:umap_"))
self.assertIsInstance(result_data["dims"], list)
self.assertEqual(len(result_data["dims"]), 2)
dims = result_data["dims"]
self.assertTrue(dims[0].startswith("reembed:umap_") and dims[0].endswith("_0"))
self.assertTrue(dims[1].startswith("reembed:umap_") and dims[1].endswith("_1"))
def test_bad_filter(self):
endpoint = "data/var"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.put(url, json=BAD_FILTER)
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
def test_get_annotations_obs_fbs(self):
endpoint = "annotations/obs"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 6 if self.ANNOTATIONS_ENABLED else 5)
self.assertIsNotNone(df["columns"])
self.assertIsNone(df["row_idx"])
self.assertEqual(len(df["columns"]), df["n_cols"])
obs_index_col_name = self.schema["schema"]["annotations"]["obs"]["index"]
self.assertCountEqual(
df["col_idx"],
[obs_index_col_name, "n_genes", "percent_mito", "n_counts", "louvain"]
+ (["cluster-test"] if self.ANNOTATIONS_ENABLED else []),
)
def test_get_annotations_obs_keys_fbs(self):
endpoint = "annotations/obs"
query = "annotation-name=n_genes&annotation-name=percent_mito"
url = f"{self.URL_BASE}{endpoint}?{query}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 2)
self.assertIsNotNone(df["columns"])
self.assertIsNone(df["row_idx"])
self.assertEqual(len(df["columns"]), df["n_cols"])
self.assertCountEqual(df["col_idx"], ["n_genes", "percent_mito"])
def test_get_annotations_obs_error(self):
endpoint = "annotations/obs"
query = "annotation-name=notakey"
url = f"{self.URL_BASE}{endpoint}?{query}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
def test_get_annotations_var_fbs(self):
endpoint = "annotations/var"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 1838)
self.assertEqual(df["n_cols"], 2)
self.assertIsNotNone(df["columns"])
self.assertIsNone(df["row_idx"])
self.assertEqual(len(df["columns"]), df["n_cols"])
var_index_col_name = self.schema["schema"]["annotations"]["var"]["index"]
self.assertCountEqual(df["col_idx"], [var_index_col_name, "n_cells"])
def test_get_annotations_var_keys_fbs(self):
endpoint = "annotations/var"
query = "annotation-name=n_cells"
url = f"{self.URL_BASE}{endpoint}?{query}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 1838)
self.assertEqual(df["n_cols"], 1)
self.assertIsNotNone(df["columns"])
self.assertIsNone(df["row_idx"])
self.assertEqual(len(df["columns"]), df["n_cols"])
self.assertCountEqual(df["col_idx"], ["n_cells"])
def test_get_annotations_var_error(self):
endpoint = "annotations/var"
query = "annotation-name=notakey"
url = f"{self.URL_BASE}{endpoint}?{query}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
def test_data_mimetype_error(self):
endpoint = "data/var"
header = {"Accept": "xxx"}
url = f"{self.URL_BASE}{endpoint}"
result = self.session.put(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.NOT_ACCEPTABLE)
def test_fbs_default(self):
endpoint = "data/var"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.put(url)
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
filter = {"filter": {"var": {"index": [0, 1, 4]}}}
result = self.session.put(url, json=filter)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
def test_data_put_fbs(self):
endpoint = "data/var"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
result = self.session.put(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
def test_data_get_fbs(self):
endpoint = "data/var"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
def test_data_put_filter_fbs(self):
endpoint = "data/var"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
filter = {"filter": {"var": {"index": [0, 1, 4]}}}
result = self.session.put(url, headers=header, json=filter)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 3)
self.assertIsNotNone(df["columns"])
self.assertIsNone(df["row_idx"])
self.assertEqual(len(df["columns"]), df["n_cols"])
self.assertListEqual(df["col_idx"].tolist(), [0, 1, 4])
def test_data_get_filter_fbs(self):
index_col_name = self.schema["schema"]["annotations"]["var"]["index"]
endpoint = "data/var"
query = f"var:{index_col_name}=SIK1"
url = f"{self.URL_BASE}{endpoint}?{query}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 1)
def test_data_get_unknown_filter_fbs(self):
index_col_name = self.schema["schema"]["annotations"]["var"]["index"]
endpoint = "data/var"
query = f"var:{index_col_name}=UNKNOWN"
url = f"{self.URL_BASE}{endpoint}?{query}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 0)
def test_data_put_single_var(self):
endpoint = "data/var"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
index_col_name = self.schema["schema"]["annotations"]["var"]["index"]
var_filter = {"filter": {"var": {"annotation_value": [{"name": index_col_name, "values": ["RER1"]}]}}}
result = self.session.put(url, headers=header, json=var_filter)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 1)
def test_colors(self):
endpoint = "colors"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
self.assertEqual(result_data, pbmc3k_colors)
def test_static(self):
endpoint = "static"
file = "assets/favicon.ico"
url = f"{self.server}/{endpoint}/{file}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
def test_genesets_config(self):
result = self.session.get(f"{self.URL_BASE}config")
config_data = result.json()
params = config_data["config"]["parameters"]
annotations_genesets = params["annotations_genesets"]
annotations_genesets_readonly = params["annotations_genesets_readonly"]
annotations_genesets_summary_methods = params["annotations_genesets_summary_methods"]
self.assertTrue(annotations_genesets)
self.assertEqual(annotations_genesets_readonly, self.GENESETS_READONLY)
self.assertEqual(annotations_genesets_summary_methods, ["mean"])
def test_get_genesets(self):
endpoint = "genesets"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.get(url, headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
self.assertIsNotNone(result_data["genesets"])
def _setupClass(child_class, command_line):
child_class.ps, child_class.server = start_test_server(command_line)
child_class.URL_BASE = f"{child_class.server}/api/v0.2/"
child_class.session = requests.Session()
for i in range(90):
try:
result = child_class.session.get(f"{child_class.URL_BASE}schema")
child_class.schema = result.json()
except requests.exceptions.ConnectionError:
time.sleep(1)
class EndPointsAnnotations(EndPoints):
def test_get_schema_existing_writable(self):
self._test_get_schema_writable("cluster-test")
def test_get_user_annotations_existing_obs_keys_fbs(self):
self._test_get_user_annotations_obs_keys_fbs(
"cluster-test",
{"unassigned", "one", "two", "three", "four", "five", "six", "seven"},
)
def test_put_user_annotations_obs_fbs(self):
endpoint = "annotations/obs"
query = "annotation-collection-name=test_annotations"
url = f"{self.URL_BASE}{endpoint}?{query}"
n_rows = self.data.get_shape()[0]
fbs = make_fbs({"cat_A": pd.Series(["label_A"] * n_rows, dtype="category")})
result = self.session.put(url, data=zlib.compress(fbs))
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
self.assertEqual(result.json(), {"status": "OK"})
self._test_get_schema_writable("cat_A")
self._test_get_user_annotations_obs_keys_fbs("cat_A", {"label_A"})
def _test_get_user_annotations_obs_keys_fbs(self, annotation_name, columns):
endpoint = "annotations/obs"
query = f"annotation-name={annotation_name}"
url = f"{self.URL_BASE}{endpoint}?{query}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 1)
self.assertListEqual(df["col_idx"], [annotation_name])
self.assertEqual(set(df["columns"][0]), columns)
self.assertIsNone(df["row_idx"])
self.assertEqual(len(df["columns"]), df["n_cols"])
def _test_get_schema_writable(self, cluster_name):
endpoint = "schema"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
columns = result_data["schema"]["annotations"]["obs"]["columns"]
matching_columns = [c for c in columns if c["name"] == cluster_name]
self.assertEqual(len(matching_columns), 1)
self.assertTrue(matching_columns[0]["writable"])
class EndPointsAnndata(unittest.TestCase, EndPoints):
"""Test Case for endpoints"""
ANNOTATIONS_ENABLED = False
GENESETS_READONLY = True
@classmethod
def setUpClass(cls):
cls._setupClass(
cls,
[
f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad",
"--disable-annotations",
"--disable-gene-sets-save",
"--experimental-enable-reembedding",
],
)
@classmethod
def tearDownClass(cls):
stop_test_server(cls.ps)
@property
def annotations_enabled(self):
return False
def test_diff_exp(self):
endpoint = "diffexp/obs"
url = f"{self.URL_BASE}{endpoint}"
params = {
"mode": "topN",
"set1": {"filter": {"obs": {"annotation_value": [{"name": "louvain", "values": ["NK cells"]}]}}},
"set2": {"filter": {"obs": {"annotation_value": [{"name": "louvain", "values": ["CD8 T cells"]}]}}},
"count": 7,
}
result = self.session.post(url, json=params)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
self.assertEqual(len(result_data), 7)
def test_diff_exp_indices(self):
endpoint = "diffexp/obs"
url = f"{self.URL_BASE}{endpoint}"
params = {
"mode": "topN",
"count": 10,
"set1": {"filter": {"obs": {"index": [[0, 500]]}}},
"set2": {"filter": {"obs": {"index": [[500, 1000]]}}},
}
result = self.session.post(url, json=params)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
self.assertEqual(len(result_data), 10)
class EndPointsAnndataAnnotations(unittest.TestCase, EndPointsAnnotations):
"""Test Case for endpoints"""
ANNOTATIONS_ENABLED = True
GENESETS_READONLY = False
@classmethod
def setUpClass(cls):
cls.data, cls.tmp_dir, cls.annotations = data_with_tmp_annotations(
MatrixDataType.H5AD, annotations_fixture=True
)
cls._setupClass(cls, ["--annotations-file", cls.annotations.label_output_file, cls.data.get_location()])
@classmethod
def tearDownClass(cls):
shutil.rmtree(cls.tmp_dir)
stop_test_server(cls.ps)
class EndPointsAnnDataGenesets(unittest.TestCase, EndPoints):
ANNOTATIONS_ENABLED = False
GENESETS_READONLY = False
@classmethod
def setUpClass(cls):
cls.tmp_dir = tempfile.mkdtemp()
genesets_file = path.join(cls.tmp_dir, "test_genesets.csv")
shutil.copyfile(f"{FIXTURES_ROOT}/pbmc3k-genesets.csv", genesets_file)
cls._setupClass(
cls,
[
f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad",
"--disable-annotations",
"--gene-sets-file",
genesets_file,
],
)
@classmethod
def tearDownClass(cls):
shutil.rmtree(cls.tmp_dir)
stop_test_server(cls.ps)
def test_get_genesets_json(self):
endpoint = "genesets"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.get(url, headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
self.assertIsNotNone(result_data["genesets"])
self.assertIsNotNone(result_data["tid"])
self.assertEqual(
result_data,
{
"genesets": [
{
"genes": [
{"gene_description": "a gene_description", "gene_symbol": "F5"},
{"gene_description": "", "gene_symbol": "SUMO3"},
{"gene_description": "", "gene_symbol": "SRM"},
],
"geneset_description": "a description",
"geneset_name": "first gene set name",
},
{
"genes": [
{"gene_description": "", "gene_symbol": "RER1"},
{"gene_description": "", "gene_symbol": "SIK1"},
],
"geneset_description": "",
"geneset_name": "second gene set",
},
{"genes": [], "geneset_description": "", "geneset_name": "third gene set"},
{"genes": [], "geneset_description": "fourth description", "geneset_name": "fourth_gene_set"},
{"genes": [], "geneset_description": "", "geneset_name": "fifth_dataset"},
{
"genes": [
{"gene_description": "", "gene_symbol": "ACD"},
{"gene_description": "", "gene_symbol": "AATF"},
{"gene_description": "", "gene_symbol": "F5"},
{"gene_description": "", "gene_symbol": "PIGU"},
],
"geneset_description": "",
"geneset_name": "summary test",
},
],
"tid": 0,
},
)
def test_get_genesets_csv(self):
endpoint = "genesets"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.get(url, headers={"Accept": "text/csv"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "text/csv")
self.assertEqual(
result.text,
"""gene_set_name,gene_set_description,gene_symbol,gene_description\r
first gene set name,a description,F5,a gene_description\r
first gene set name,a description,SUMO3,\r
first gene set name,a description,SRM,\r
second gene set,,RER1,\r
second gene set,,SIK1,\r
third gene set,,,\r
fourth_gene_set,fourth description,,\r
fifth_dataset,,,\r
summary test,,ACD,\r
summary test,,AATF,\r
summary test,,F5,\r
summary test,,PIGU,\r
""",
)
def test_put_genesets(self):
endpoint = "genesets"
url = f"{self.URL_BASE}{endpoint}"
# assume we start with TID 0
result = self.session.get(url, headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.json()["tid"], 0)
test1 = {"tid": 3, "genesets": []}
result = self.session.put(url, json=test1)
self.assertEqual(result.status_code, HTTPStatus.OK)
result = self.session.get(url, headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.json(), test1)
# stale TID
result = self.session.put(url, json=test1)
self.assertEqual(result.status_code, HTTPStatus.NOT_FOUND)
test2 = {
"tid": 4,
"genesets": [
{"geneset_name": "foobar", "genes": []},
{"geneset_name": "contains a space", "genes": []},
{"geneset_name": "contains_weird_characters: #$%^&*()_+=-!@<>,./?';:\"[]{}|\\", "genes": []},
],
}
test2_response = {
"tid": 4,
"genesets": [
{"geneset_name": "foobar", "geneset_description": "", "genes": []},
{"geneset_name": "contains a space", "geneset_description": "", "genes": []},
{
"geneset_name": "contains_weird_characters: #$%^&*()_+=-!@<>,./?';:\"[]{}|\\",
"geneset_description": "",
"genes": [],
},
],
}
result = self.session.put(url, json=test2)
self.assertEqual(result.status_code, HTTPStatus.OK)
result = self.session.get(url, headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.json(), test2_response)
test3 = {
"tid": 5,
"genesets": [
{
"geneset_name": "foobar",
"geneset_description": "",
"genes": [
{
"gene_symbol": "F5",
"gene_description": "",
}
],
}
],
}
result = self.session.put(url, json=test3)
self.assertEqual(result.status_code, HTTPStatus.OK)
result = self.session.get(url, headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.json(), test3)
def test_put_genesets_malformed(self):
""" test malformed submissions that we expect the backend to catch/tolerate """
endpoint = "genesets"
url = f"{self.URL_BASE}{endpoint}"
result = self.session.get(url, headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
original_data = result.json()
tid = original_data["tid"]
def test_case(test, expected_code, original_data):
""" check for expected error AND that no change was made to the original state """
result = self.session.put(url, json=test)
self.assertEqual(result.status_code, expected_code)
result = self.session.get(url, headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.json(), original_data)
# missing or malformed genesets
test_case(
{"tid": tid + 1},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": tid + 1, "genesets": 99},
HTTPStatus.BAD_REQUEST,
original_data,
)
# illegal geneset_name
test_case(
{"tid": tid + 1, "genesets": [{"geneset_name": " foo", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": tid + 1, "genesets": [{"geneset_name": "foo ", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": tid + 1, "genesets": [{"geneset_name": "f oo", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": tid + 1, "genesets": [{"geneset_name": "f\too", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": tid + 1, "genesets": [{"geneset_name": "f\roo", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": tid + 1, "genesets": [{"geneset_name": "f\noo", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": tid + 1, "genesets": [{"geneset_name": "f\voo", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
# duplicate geneset_name
test_case(
{
"tid": tid + 1,
"genesets": [
{"geneset_name": "foo", "genes": []},
{"geneset_name": "foo", "genes": []},
],
},
HTTPStatus.BAD_REQUEST,
original_data,
)
# missing geneset_name
test_case(
{"tid": tid + 1, "genesets": [{"genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
# non-numeric TID
test_case(
{"tid": [], "genesets": [{"geneset_name": "foo", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": None, "genesets": [{"geneset_name": "foo", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
test_case(
{"tid": "not a number", "genesets": [{"geneset_name": "foo", "genes": []}]},
HTTPStatus.BAD_REQUEST,
original_data,
)
# duplicate gene_symbol
test_case(
{
"tid": "not a number",
"genesets": [{"geneset_name": "foo", "genes": [{"gene_symbol": "SIK1"}, {"gene_symbol": "SIK1"}]}],
},
HTTPStatus.BAD_REQUEST,
original_data,
)
# gene_symbol is not a string
test_case(
{
"tid": "not a number",
"genesets": [{"geneset_name": "foo", "genes": [{"gene_symbol": 99}]}],
},
HTTPStatus.BAD_REQUEST,
original_data,
)
def test_get_geneset_summary(self):
endpoint = "geneset_summary?geneset_name=summary%20test&method=mean"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 1)
self.assertEqual(df["col_idx"], ["summary test"])
self.assertAlmostEqual(df["columns"][0][0], -0.19863907)
def test_get_geneset_summary_default_method(self):
endpoint = "geneset_summary?geneset_name=summary%20test"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
result = self.session.get(url, headers=header)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 1)
self.assertEqual(df["col_idx"], ["summary test"])
self.assertAlmostEqual(df["columns"][0][0], -0.19863907)
def test_get_geneset_summary_check_tid(self):
# get the TID
result = self.session.get(f"{self.URL_BASE}genesets", headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
tid = result.json()["tid"]
# current tid
endpoint = f"geneset_summary?geneset_name=summary%20test&tid={tid}"
result = self.session.get(f"{self.URL_BASE}{endpoint}", headers={"Accept": "application/octet-stream"})
self.assertEqual(result.status_code, HTTPStatus.OK)
# future tid
endpoint = f"geneset_summary?geneset_name=summary%20test&tid={tid+1}"
result = self.session.get(f"{self.URL_BASE}{endpoint}", headers={"Accept": "application/octet-stream"})
self.assertEqual(result.status_code, HTTPStatus.NOT_FOUND)
# past tid
endpoint = f"geneset_summary?geneset_name=summary%20test&tid={tid-1}"
result = self.session.get(f"{self.URL_BASE}{endpoint}", headers={"Accept": "application/octet-stream"})
self.assertEqual(result.status_code, HTTPStatus.NOT_FOUND)
# No tid - ie, skip check
endpoint = "geneset_summary?geneset_name=summary%20test"
result = self.session.get(f"{self.URL_BASE}{endpoint}", headers={"Accept": "application/octet-stream"})
self.assertEqual(result.status_code, HTTPStatus.OK)
def test_get_geneset_summary_edge_cases(self):
# attempt to summarize _all_ genesets, including edge cases with zero or one gene
result = self.session.get(f"{self.URL_BASE}genesets", headers={"Accept": "application/json"})
self.assertEqual(result.status_code, HTTPStatus.OK)
geneset_names = [gs["geneset_name"] for gs in result.json()["genesets"]]
for gs in geneset_names:
endpoint = f"geneset_summary?geneset_name={gs}"
result = self.session.get(f"{self.URL_BASE}{endpoint}", headers={"Accept": "application/octet-stream"})
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 2638)
self.assertEqual(df["n_cols"], 1)
self.assertEqual(df["col_idx"], [gs])
def test_get_geneset_error_handling(self):
# no geneset
endpoint = "geneset_summary"
result = self.session.get(f"{self.URL_BASE}{endpoint}", headers={"Accept": "application/octet-stream"})
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
# unknown geneset
endpoint = "geneset_summary?geneset_name=NO_SUCH_GENE_SET"
result = self.session.get(f"{self.URL_BASE}{endpoint}", headers={"Accept": "application/octet-stream"})
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
# unknown method
endpoint = "geneset_summary?geneset_name=summary%20test&method=NO_SUCH_METHOD"
result = self.session.get(f"{self.URL_BASE}{endpoint}", headers={"Accept": "application/octet-stream"})
self.assertEqual(result.status_code, HTTPStatus.BAD_REQUEST)
@@ -0,0 +1,165 @@
import json
import shutil
import tempfile
import unittest
from http import HTTPStatus
import anndata
import requests
from backend.server.common.corpora import (
corpora_get_versions_from_anndata,
corpora_is_version_supported,
corpora_get_props_from_anndata,
)
from backend.test.test_server.unit import start_test_server, stop_test_server
from backend.test import PROJECT_ROOT
VERSION = "v0.2"
class CorporaAPITest(unittest.TestCase):
def test_corpora_get_versions_from_anndata(self):
adata = self._get_h5ad()
if "version" in adata.uns:
del adata.uns["version"]
self.assertIsNone(corpora_get_versions_from_anndata(adata))
# something bogus
adata.uns["version"] = 99
self.assertIsNone(corpora_get_versions_from_anndata(adata))
# something legit
adata.uns["version"] = {"corpora_schema_version": "0.0.0", "corpora_encoding_version": "9.9.9"}
self.assertEqual(corpora_get_versions_from_anndata(adata), ["0.0.0", "9.9.9"])
def test_corpora_is_version_supported(self):
self.assertTrue(corpora_is_version_supported("1.0.0", "0.1.0"))
self.assertFalse(corpora_is_version_supported("0.0.0", "0.1.0"))
self.assertFalse(corpora_is_version_supported("1.0.0", "0.0.0"))
def test_corpora_get_props_from_anndata(self):
adata = self._get_h5ad()
if "version" in adata.uns:
del adata.uns["version"]
self.assertIsNone(corpora_get_props_from_anndata(adata))
# something bogus
adata.uns["version"] = 99
self.assertIsNone(corpora_get_props_from_anndata(adata))
# unsupported version, but missing required values
adata.uns["version"] = {"corpora_schema_version": "99.0.0", "corpora_encoding_version": "32.1.0"}
with self.assertRaises(ValueError):
corpora_get_props_from_anndata(adata)
# legit version, but missing required values
adata.uns["version"] = {"corpora_schema_version": "1.0.0", "corpora_encoding_version": "0.1.0"}
with self.assertRaises(KeyError):
corpora_get_props_from_anndata(adata)
some_fields = {
"version": {"corpora_schema_version": "1.0.0", "corpora_encoding_version": "0.1.0"},
"title": "title",
"layer_descriptions": "layer_descriptions",
"organism": "organism",
"organism_ontology_term_id": "organism_ontology_term_id",
"project_name": "project_name",
"project_description": "project_description",
"contributors": json.dumps([{"contributors": "contributors"}]),
"project_links": json.dumps([{"link_name": "link_name", "link_url": "link_url", "link_type": "SUMMARY"}]),
}
for k in some_fields:
adata.uns[k] = some_fields[k]
some_fields["contributors"] = json.loads(some_fields["contributors"])
some_fields["project_links"] = json.loads(some_fields["project_links"])
self.assertEqual(corpora_get_props_from_anndata(adata), some_fields)
def test_corpora_get_props_from_anndata_v110(self):
adata = self._get_h5ad()
if "version" in adata.uns:
del adata.uns["version"]
self.assertIsNone(corpora_get_props_from_anndata(adata))
# legit version, but missing required values
adata.uns["version"] = {"corpora_schema_version": "1.1.0", "corpora_encoding_version": "0.1.0"}
with self.assertRaises(KeyError):
corpora_get_props_from_anndata(adata)
# Metadata following schema 1.1.0, which removes some fields relative to 1.1.0
some_110_fields = {
"version": {"corpora_schema_version": "1.0.0", "corpora_encoding_version": "0.1.0"},
"title": "title",
"layer_descriptions": "layer_descriptions",
"organism": "organism",
"organism_ontology_term_id": "organism_ontology_term_id",
}
for k in some_110_fields:
adata.uns[k] = some_110_fields[k]
self.assertEqual(corpora_get_props_from_anndata(adata), some_110_fields)
def _get_h5ad(self):
return anndata.read_h5ad(f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad")
class CorporaRESTAPITest(unittest.TestCase):
""" Confirm endpoints reflect Corpora-specific features """
@classmethod
def setCorporaFields(cls, path):
adata = anndata.read_h5ad(path)
corpora_props = {
"version": {"corpora_schema_version": "1.0.0", "corpora_encoding_version": "0.1.0"},
"title": "PBMC3K",
"contributors": json.dumps([{"name": "name"}]),
"layer_descriptions": {"X": "raw counts"},
"organism": "human",
"organism_ontology_term_id": "unknown",
"project_name": "test project",
"project_description": "test description",
"project_links": json.dumps(
[{"link_name": "test link", "link_type": "SUMMARY", "link_url": "https://a.u.r.l/"}]
),
"default_embedding": "X_tsne",
}
adata.uns.update(corpora_props)
adata.write(path)
@classmethod
def setUpClass(cls):
cls.tmp_dir = tempfile.TemporaryDirectory()
src = f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad"
dst = f"{cls.tmp_dir.name}/pbmc3k.h5ad"
shutil.copyfile(src, dst)
cls.setCorporaFields(dst)
cls.ps, cls.server = start_test_server([dst])
@classmethod
def tearDownClass(cls):
stop_test_server(cls.ps)
cls.tmp_dir.cleanup()
def setUp(self):
self.session = requests.Session()
self.url_base = f"{self.server}/api/{VERSION}/"
def test_config(self):
endpoint = "config"
url = f"{self.url_base}{endpoint}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/json")
result_data = result.json()
self.assertIsInstance(result_data["config"]["corpora_props"], dict)
self.assertIsInstance(result_data["config"]["parameters"], dict)
corpora_props = result_data["config"]["corpora_props"]
parameters = result_data["config"]["parameters"]
self.assertEqual(corpora_props["version"]["corpora_schema_version"], "1.0.0")
self.assertEqual(corpora_props["organism"], "human")
self.assertEqual(parameters["default_embedding"], "tsne")
@@ -0,0 +1,61 @@
from http import HTTPStatus
import unittest
import math
from backend.test.test_server.unit import start_test_server, stop_test_server
from backend.test import FIXTURES_ROOT
import backend.test.decode_fbs as decode_fbs
import requests
VERSION = "v0.2"
BAD_FILTER = {"filter": {"obs": {"annotation_value": [{"name": "xyz"}]}}}
class WithNaNs(unittest.TestCase):
"""Test Case for endpoints"""
@classmethod
def setUpClass(cls):
cls.ps, cls.server = start_test_server([f"{FIXTURES_ROOT}/nan.h5ad"])
@classmethod
def tearDownClass(cls):
stop_test_server(cls.ps)
def setUp(self):
self.session = requests.Session()
self.url_base = f"{self.server}/api/{VERSION}/"
def test_initialize(self):
endpoint = "schema"
url = f"{self.url_base}{endpoint}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
def test_data(self):
endpoint = "data/var"
url = f"{self.url_base}{endpoint}"
filter = {"filter": {"var": {"index": [[0, 20]]}}}
result = self.session.put(url, json=filter)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertTrue(math.isnan(df["columns"][3][3]))
def test_annotation_obs(self):
endpoint = "annotations/obs"
url = f"{self.url_base}{endpoint}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertTrue(math.isnan(df["columns"][2][0]))
def test_annotation_var(self):
endpoint = "annotations/var"
url = f"{self.url_base}{endpoint}"
result = self.session.get(url)
self.assertEqual(result.status_code, HTTPStatus.OK)
self.assertEqual(result.headers["Content-Type"], "application/octet-stream")
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertTrue(math.isnan(df["columns"][2][0]))
@@ -0,0 +1,79 @@
import unittest
from urllib.parse import parse_qs
from werkzeug.datastructures import MultiDict
from backend.common.errors import FilterError
from backend.server.common.rest import _query_parameter_to_filter
def _qsparse(qs):
""" emulate what Flask/Werkzeug do to our QS """
return MultiDict(parse_qs(qs))
class FilterParseTests(unittest.TestCase):
""" Test cases for various filter parsing """
def test_queryparam_to_filter_parse(self):
# categories
self.assertEqual(
_query_parameter_to_filter(_qsparse("obs:foo=bar&var:baz=133&var:baz=A&obs:baz=foo")),
{
"obs": {"annotation_value": [{"name": "foo", "values": ["bar"]}, {"name": "baz", "values": ["foo"]}]},
"var": {"annotation_value": [{"name": "baz", "values": ["133", "A"]}]},
},
)
# ranges
self.assertEqual(
_query_parameter_to_filter(_qsparse("obs:A=1,99&obs:B=*,100&obs:C=0,*")),
{
"obs": {
"annotation_value": [
{"name": "A", "min": 1, "max": 99.0},
{"name": "B", "max": 100.0},
{"name": "C", "min": 0.0},
]
},
},
)
# combo
self.assertEqual(
_query_parameter_to_filter(_qsparse("var:B=YES&var:A=1,99&var:B=NO")),
{
"var": {
"annotation_value": [
{"name": "B", "values": ["YES", "NO"]},
{"name": "A", "min": 1.0, "max": 99.0},
]
},
},
)
def test_queryparam_to_filter_escaping(self):
self.assertEqual(
_query_parameter_to_filter(_qsparse("obs:var=%2521%252C%253AOK%253D&obs:A%2521=YO")),
{"obs": {"annotation_value": [{"name": "var", "values": ["!,:OK="]}, {"name": "A!", "values": ["YO"]}]}},
)
def test_queryparam_to_filter_errors(self):
# should raise FilterError
filter_errors = [
"foo=bar", # no axis
"X=&Y=3", # no value
"X&Y=3", # no value
"moo:foo=bar", # bad axis
"obs:x=1,A", # non-numeric range
"var:X=1,2&var:X=3,4", # duplicate ranges
"var:Y=,",
"var:Y=2,",
"var:Y=,5",
"var:Y=*,",
"var:Y=,*",
"var:Y=*,*",
]
for qs in filter_errors:
with self.assertRaises(FilterError):
_query_parameter_to_filter(_qsparse(qs))
@@ -0,0 +1,168 @@
import json
import shutil
import unittest
from os import path, listdir
import numpy as np
import pandas as pd
import backend.test.decode_fbs as decode_fbs
from backend.server.common.rest import annotations_put_fbs_helper, schema_get_helper
from backend.server.data_common.matrix_loader import MatrixDataType
from backend.test.test_server.unit import data_with_tmp_annotations, make_fbs
class WritableAnnotationTest(unittest.TestCase):
def setUp(self):
self.data, self.tmp_dir, self.annotations = data_with_tmp_annotations(MatrixDataType.H5AD)
self.data.dataset_config.user_annotations = self.annotations
def tearDown(self):
shutil.rmtree(self.tmp_dir)
def annotation_put_fbs(self, fbs):
annotations_put_fbs_helper(self.data, fbs)
res = json.dumps({"status": "OK"})
return res
def test_error_checks(self):
# verify that the expected errors are generated
n_rows = self.data.get_shape()[0]
fbs_bad = make_fbs({"louvain": pd.Series(["undefined"] * n_rows, dtype="category")})
# ensure we catch attempt to overwrite non-writable data
with self.assertRaises(KeyError):
self.annotation_put_fbs(fbs_bad)
def test_write_to_file(self):
# verify the file is written as expected
n_rows = self.data.get_shape()[0]
fbs = make_fbs(
{
"cat_A": pd.Series(["label_A"] * n_rows, dtype="category"),
"cat_B": pd.Series(["label_B"] * n_rows, dtype="category"),
}
)
res = self.annotation_put_fbs(fbs)
self.assertEqual(res, json.dumps({"status": "OK"}))
self.assertTrue(path.exists(self.annotations.label_output_file))
df = pd.read_csv(self.annotations.label_output_file, index_col=0, header=0, comment="#")
self.assertEqual(df.shape, (n_rows, 2))
self.assertEqual(set(df.columns), {"cat_A", "cat_B"})
self.assertTrue(self.data.original_obs_index.equals(df.index))
self.assertTrue(np.all(df["cat_A"] == ["label_A"] * n_rows))
self.assertTrue(np.all(df["cat_B"] == ["label_B"] * n_rows))
# verify complete overwrite on second attempt, AND rotation occurs
fbs = make_fbs(
{
"cat_A": pd.Series(["label_A1"] * n_rows, dtype="category"),
"cat_C": pd.Series(["label_C"] * n_rows, dtype="category"),
}
)
res = self.annotation_put_fbs(fbs)
self.assertEqual(res, json.dumps({"status": "OK"}))
self.assertTrue(path.exists(self.annotations.label_output_file))
df = pd.read_csv(self.annotations.label_output_file, index_col=0, header=0, comment="#")
self.assertEqual(set(df.columns), {"cat_A", "cat_C"})
self.assertTrue(np.all(df["cat_A"] == ["label_A1"] * n_rows))
self.assertTrue(np.all(df["cat_C"] == ["label_C"] * n_rows))
# rotation
name, ext = path.splitext(self.annotations.label_output_file)
backup_dir = f"{name}-backups"
self.assertTrue(path.isdir(backup_dir))
found_files = listdir(backup_dir)
self.assertEqual(len(found_files), 1)
def test_file_rotation_to_max_9(self):
# verify we stop rotation at 9
n_rows = self.data.get_shape()[0]
fbs = make_fbs(
{
"cat_A": pd.Series(["label_A"] * n_rows, dtype="category"),
"cat_B": pd.Series(["label_B"] * n_rows, dtype="category"),
}
)
for i in range(0, 11):
res = self.annotation_put_fbs(fbs)
self.assertEqual(res, json.dumps({"status": "OK"}))
name, ext = path.splitext(self.annotations.label_output_file)
backup_dir = f"{name}-backups"
self.assertTrue(path.isdir(backup_dir))
found_files = listdir(backup_dir)
self.assertTrue(len(found_files) <= 9)
def test_put_get_roundtrip(self):
# verify that OBS PUTs (annotation_put_fbs) are accessible via
# GET (annotation_to_fbs_matrix)
n_rows = self.data.get_shape()[0]
fbs = make_fbs(
{
"cat_A": pd.Series(["label_A"] * n_rows, dtype="category"),
"cat_B": pd.Series(["label_B"] * n_rows, dtype="category"),
}
)
# put
res = self.annotation_put_fbs(fbs)
self.assertEqual(res, json.dumps({"status": "OK"}))
# get
labels = self.annotations.read_labels(None)
fbsAll = self.data.annotation_to_fbs_matrix("obs", None, labels)
schema = schema_get_helper(self.data)
annotations = decode_fbs.decode_matrix_FBS(fbsAll)
obs_index_col_name = schema["annotations"]["obs"]["index"]
self.assertEqual(annotations["n_rows"], n_rows)
self.assertEqual(annotations["n_cols"], 7)
self.assertIsNone(annotations["row_idx"])
self.assertEqual(
annotations["col_idx"],
[obs_index_col_name, "n_genes", "percent_mito", "n_counts", "louvain", "cat_A", "cat_B"],
)
col_idx = annotations["col_idx"]
self.assertEqual(annotations["columns"][col_idx.index("cat_A")], ["label_A"] * n_rows)
self.assertEqual(annotations["columns"][col_idx.index("cat_B")], ["label_B"] * n_rows)
# verify the schema was updated
all_col_schema = {c["name"]: c for c in schema["annotations"]["obs"]["columns"]}
self.assertEqual(
all_col_schema["cat_A"],
{"name": "cat_A", "type": "categorical", "categories": ["label_A"], "writable": True},
)
self.assertEqual(
all_col_schema["cat_B"],
{"name": "cat_B", "type": "categorical", "categories": ["label_B"], "writable": True},
)
def test_put_float_data(self):
# verify that OBS PUTs (annotation_put_fbs) are accessible via
# GET (annotation_to_fbs_matrix)
n_rows = self.data.get_shape()[0]
# verifies that floating point with decimals fail.
fbs = make_fbs({"cat_F_FAIL": pd.Series([1.1] * n_rows, dtype=np.dtype("float"))})
with self.assertRaises(ValueError) as exception_context:
res = self.annotation_put_fbs(fbs)
self.assertEqual(str(exception_context.exception), "Columns may not have floating point types")
# verifies that floating point that can be converted to int passes
fbs = make_fbs({"cat_F_PASS": pd.Series([1.0] * n_rows, dtype="float")})
res = self.annotation_put_fbs(fbs)
self.assertEqual(res, json.dumps({"status": "OK"}))
# check read_labels
labels = self.annotations.read_labels(None)
fbsAll = self.data.annotation_to_fbs_matrix("obs", None, labels)
schema = schema_get_helper(self.data)
annotations = decode_fbs.decode_matrix_FBS(fbsAll)
self.assertEqual(annotations["n_rows"], n_rows)
all_col_schema = {c["name"]: c for c in schema["annotations"]["obs"]["columns"]}
self.assertEqual(
all_col_schema["cat_F_PASS"],
{"name": "cat_F_PASS", "type": "int32", "writable": True},
)
@@ -0,0 +1,34 @@
import os
import shutil
import unittest
from backend.common.utils.utils import import_plugins
from backend.test import PROJECT_ROOT, random_string
class TestPlugins(unittest.TestCase):
""" Test plugin import functionality """
plugins_dir = f"{PROJECT_ROOT}/backend/test/plugins"
test_plugin_path = f"{plugins_dir}/foo.py"
secret = random_string(8)
@classmethod
def setUpClass(cls) -> None:
if not os.path.isdir(cls.plugins_dir):
os.mkdir(cls.plugins_dir)
with open(cls.test_plugin_path, "w") as fh:
fh.write(f'SECRET = "{cls.secret}"\n')
@classmethod
def tearDownClass(cls) -> None:
if os.path.isdir(cls.plugins_dir):
shutil.rmtree(cls.plugins_dir)
def test_import_plugins(self):
self.assertTrue(os.path.isfile(self.test_plugin_path))
loaded_modules = import_plugins("backend.test.plugins")
# test that import plugins found the file
self.assertEqual(["backend.test.plugins.foo"], [ele.__name__ for ele in loaded_modules])
# test that the module was properly executed
self.assertEqual(self.secret, loaded_modules[0].SECRET)