Split out the local backend (#2052)

This splits the backend into two parts: the local backend for desktop cellxgene and the AWS backend for hosted cellxgene. The local backend is in local_server while the hosted remains in server. The general idea is to copy everything from server to local_server, pull unneeded stuff out of local_server, and keep server as-is for this PR. Not touching server means all the infra and deployment code will continue working just as it did before so we can make those changes incrementally.
This commit is contained in:
Marcus Kinsella
2021-02-18 12:58:22 -08:00
committed by GitHub
parent 036b5f8c0f
commit fb61bd6e9c
153 changed files with 14027 additions and 46 deletions
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from local_server.common.aws_secret_utils import get_secret_key # noqa F504
DEFAULT_SERVER_PORT = 5005
BIG_FILE_SIZE_THRESHOLD = 100 * 2 ** 20 # 100MB
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import yaml
from flatten_dict import unflatten
from local_server.default_config import get_default_config
from local_server.common.config.dataset_config import DatasetConfig
from local_server.common.config.server_config import ServerConfig
from local_server.common.config.external_config import ExternalConfig
from local_server.common.errors import ConfigurationError
class AppConfig(object):
"""
AppConfig stores all the configuration for cellxgene.
AppConfig contains one or more DatasetConfig(s) and one ServerConfig.
The server_config contains attributes that refer to the server process as a whole.
The dataset_config refers to attributes that are associated with the features and
presentations of a dataset.
AppConfig has methods to initialize, modify, and access the configuration.
"""
def __init__(self):
# the default configuration (see default_config.py)
# TODO @madison -- if we always read from the default config (hard coded path) can we set those values as
# defaults within the config class?
self.default_config = get_default_config()
# the server configuration
self.server_config = ServerConfig(self, self.default_config["server"])
# the dataset config
self.dataset_config = DatasetConfig(None, self, self.default_config["dataset"])
# external config
self.external_config = ExternalConfig(self, self.default_config["external"])
# Set to true when config_completed is called
self.is_completed = False
def get_dataset_config(self):
return self.dataset_config
def check_config(self):
"""Verify all the attributes in the config have been type checked"""
if not self.is_completed:
raise ConfigurationError("The configuration has not been completed")
self.server_config.check_config()
self.dataset_config.check_config()
self.external_config.check_config()
def update_server_config(self, **kw):
self.server_config.update(**kw)
self.is_complete = False
def update_dataset_config(self, **kw):
self.dataset_config.update(**kw)
self.is_complete = False
def update_single_config_from_path_and_value(self, path, value):
"""Update a single config parameter with the value.
Path is a list of string, that gives a path to the config parameter to be updated.
For example, path may be ["server","app","port"].
"""
self.is_complete = False
if not isinstance(path, list):
raise ConfigurationError(f"path must be a list of strings, got '{str(path)}'")
for part in path:
if not isinstance(part, str):
raise ConfigurationError(f"path must be a list of strings, got '{str(path)}'")
if len(path) < 1 or path[0] not in ("server", "dataset"):
raise ConfigurationError("path must start with 'server', or 'dataset'")
if path[0] == "server":
attr = "__".join(path[1:])
try:
self.update_server_config(**{attr: value})
except ConfigurationError:
raise ConfigurationError(f"unknown config parameter at path: '{str(path)}'")
elif path[0] == "dataset":
attr = "__".join(path[1:])
try:
self.update_dataset_config(**{attr: value})
except ConfigurationError:
raise ConfigurationError(f"unknown config parameter at path: '{str(path)}'")
def update_from_config_file(self, config_file):
try:
with open(config_file) as yml_file:
config = yaml.safe_load(yml_file)
except yaml.YAMLError as e:
raise ConfigurationError(f"The specified config file contained an error: {e}")
except OSError as e:
raise ConfigurationError(f"Issue retrieving the specified config file: {e}")
if config.get("server"):
self.server_config.update_from_config(config["server"], "server")
if config.get("dataset"):
self.dataset_config.update_from_config(config["dataset"], "dataset")
if config.get("external"):
self.external_config.update_from_config(config["external"], "external")
self.is_complete = False
def config_to_dict(self):
"""return the configuration as an unflattened dict"""
server = self.server_config.create_mapping(self.server_config.default_config)
dataset = self.dataset_config.create_mapping(self.dataset_config.default_config)
external = self.external_config.create_mapping(self.external_config.default_config)
config = dict(server={}, dataset={})
for attrname in server.keys():
config["server__" + attrname] = getattr(self.server_config, attrname)
for attrname in dataset.keys():
config["dataset__" + attrname] = getattr(self.dataset_config, attrname)
for attrname in external.keys():
config["external__" + attrname] = getattr(self.external_config, attrname)
config = unflatten(config, splitter=lambda key: key.split("__"))
return config
def write_config(self, config_file):
"""output the config to a yaml file"""
config = self.config_to_dict()
yaml.dump(config, open(config_file, "w"))
def changes_from_default(self):
"""Return all the attribute that are different from the default"""
diff_server = self.server_config.changes_from_default()
diff_dataset = self.dataset_config.changes_from_default()
diff_external = self.external.changes_from_default()
diff = dict(server=diff_server, dataset=diff_dataset, external=diff_external)
return diff
def complete_config(self, messagefn=None):
"""The configure options are checked, and any additional setup based on the config
parameters is done"""
if messagefn is None:
def noop(message):
pass
messagefn = noop
# TODO: to give better error messages we can add a mapping between where each config
# attribute originated (e.g. command line argument or config file), then in the error
# messages we can give correct context for attributes with bad value.
context = dict(messagefn=messagefn)
# complete config for external_config first, since this may update values in the other sections
self.external_config.complete_config(context)
self.server_config.complete_config(context)
self.dataset_config.complete_config(context)
self.is_completed = True
self.check_config()
def get_matrix_data_cache_manager(self):
return self.server_config.matrix_data_cache_manager
def get_title(self, data_adaptor):
return (
self.server_config.single_dataset__title
if self.server_config.single_dataset__title
else data_adaptor.get_title()
)
def get_about(self, data_adaptor):
return (
self.server_config.single_dataset__about
if self.server_config.single_dataset__about
else data_adaptor.get_about()
)
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import copy
from flatten_dict import flatten
from local_server.common.errors import ConfigurationError
class BaseConfig(object):
"""
This class handles the mechanics of updating and checking attributes.
Derived classes are expected to store the actual attributes
Currently DatasetConfig and ServerConfig both inherit from BaseConfig.
"""
def __init__(self, app_config, default_config):
# reference back to the app_config
self.app_config = app_config
# the complete set of attributes and their default values (unflattened)
self.default_config = default_config
# used to make sure every attribute value is checked
self.attr_checked = {key_name: False for key_name in self.create_mapping(default_config).keys()}
def create_mapping(self, config):
"""
Create a dictionary where the keys are the name of attributes (using double underscore convention)
For example: authentication__type
The values are a tuple,
- the first item of the tuple is a tuple of path elements (location in config 'tree')
- the second item is the value of the config parameter
For example: (('authentication', 'type'), 'session'))
"""
config_copy = copy.deepcopy(config)
mapping = {}
flat_config = flatten(config_copy)
for key, value in flat_config.items():
# name of the attribute
attr = "__".join(key)
mapping[attr] = (key, value)
return mapping
def validate_correct_type_of_configuration_attribute(self, attrname, vtype):
val = getattr(self, attrname)
if type(vtype) in (list, tuple):
if type(val) not in vtype:
tnames = ",".join([x.__name__ for x in vtype])
raise ConfigurationError(
f"Invalid type for attribute: {attrname}, expected types ({tnames}), got {type(val).__name__}"
)
else:
if type(val) != vtype:
raise ConfigurationError(
f"Invalid type for attribute: {attrname}, "
f"expected type {vtype.__name__}, got {type(val).__name__}"
)
self.attr_checked[attrname] = True
def check_config(self):
mapping = self.create_mapping(self.default_config)
for key in mapping.keys():
if not self.attr_checked[key]:
raise ConfigurationError(f"The attr '{key}' has not been checked")
def update(self, **kw):
"""Update the attributes defined in kw with their new values."""
for key, value in kw.items():
if not hasattr(self, key):
raise ConfigurationError(f"unknown config parameter {key}.")
try:
if type(value) == tuple:
# convert tuple values to list values
value = list(value)
setattr(self, key, value)
except KeyError:
raise ConfigurationError(f"Unable to set config parameter {key}.")
self.attr_checked[key] = False
def update_from_config(self, config, prefix):
mapping = self.create_mapping(config)
for attr, (key, value) in mapping.items():
if not hasattr(self, attr):
raise ConfigurationError(f"Unknown key from config file: {prefix}__{attr}")
setattr(self, attr, value)
self.attr_checked[attr] = False
def changes_from_default(self):
"""Return all the attribute that are different from the default"""
mapping = self.create_mapping(self.default_config)
diff = []
for attrname, (key, defval) in mapping.items():
curval = getattr(self, attrname)
if curval != defval:
diff.append((attrname, curval, defval))
return diff
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from local_server import display_version as cellxgene_display_version
def get_client_config(app_config, data_adaptor):
"""
Return the configuration as required by the /config REST route
"""
server_config = app_config.server_config
dataset_config = data_adaptor.dataset_config
annotation = dataset_config.user_annotations
auth = server_config.auth
# FIXME The current set of config is not consistently presented:
# we have camalCase, hyphen-text, and underscore_text
# make sure the configuration has been checked.
app_config.check_config()
# display_names
title = app_config.get_title(data_adaptor)
about = app_config.get_about(data_adaptor)
display_names = dict(engine=data_adaptor.get_name(), dataset=title)
# library_versions
library_versions = {}
library_versions.update(data_adaptor.get_library_versions())
library_versions["cellxgene"] = cellxgene_display_version
# links
links = {"about-dataset": about}
# parameters
parameters = {
"layout": dataset_config.embeddings__names,
"max-category-items": dataset_config.presentation__max_categories,
"obs_names": server_config.single_dataset__obs_names,
"var_names": server_config.single_dataset__var_names,
"diffexp_lfc_cutoff": dataset_config.diffexp__lfc_cutoff,
"backed": server_config.adaptor__anndata_adaptor__backed,
"disable-diffexp": not dataset_config.diffexp__enable,
"enable-reembedding": dataset_config.embeddings__enable_reembedding,
"annotations": False,
"annotations_file": None,
"annotations_dir": None,
"annotations_cell_ontology_enabled": False,
"annotations_cell_ontology_obopath": None,
"annotations_cell_ontology_terms": None,
"custom_colors": dataset_config.presentation__custom_colors,
"diffexp-may-be-slow": False,
}
# corpora dataset_props
# TODO/Note: putting info from the dataset into the /config is not ideal.
# However, it is definitely not part of /schema, and we do not have a top-level
# route for data properties. Consider creating one at some point.
corpora_props = data_adaptor.get_corpora_props()
if corpora_props and "default_embedding" in corpora_props:
default_embedding = corpora_props["default_embedding"]
if isinstance(default_embedding, str) and default_embedding.startswith("X_"):
default_embedding = default_embedding[2:] # drop X_ prefix
if default_embedding in data_adaptor.get_embedding_names():
parameters["default_embedding"] = default_embedding
data_adaptor.update_parameters(parameters)
if annotation:
annotation.update_parameters(parameters, data_adaptor)
# gather it all together
client_config = {}
config = client_config["config"] = {}
config["displayNames"] = display_names
config["library_versions"] = library_versions
config["links"] = links
config["parameters"] = parameters
config["corpora_props"] = corpora_props
config["limits"] = {
"column_request_max": server_config.limits__column_request_max,
"diffexp_cellcount_max": server_config.limits__diffexp_cellcount_max,
}
if dataset_config.app__authentication_enable and auth.is_valid_authentication_type():
config["authentication"] = {
"requires_client_login": auth.requires_client_login(),
}
if auth.requires_client_login():
config["authentication"].update(
{
# Todo why are these stored on the data_adaptor?
"login": auth.get_login_url(data_adaptor),
"logout": auth.get_logout_url(data_adaptor),
}
)
return client_config
def get_client_userinfo(app_config, data_adaptor):
"""
Return the userinfo as required by the /userinfo REST route
"""
server_config = app_config.server_config
dataset_config = data_adaptor.dataset_config
auth = server_config.auth
# make sure the configuration has been checked.
app_config.check_config()
if dataset_config.app__authentication_enable and auth.is_valid_authentication_type():
userinfo = {}
userinfo["userinfo"] = {
"is_authenticated": auth.is_user_authenticated(),
"username": auth.get_user_name(),
"user_id": auth.get_user_id(),
"email": auth.get_user_email(),
"picture": auth.get_user_picture(),
}
return userinfo
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import os
from os.path import splitext, isdir
from local_server.common.annotations.local_file_csv import AnnotationsLocalFile
from local_server.common.config.base_config import BaseConfig
from local_server.common.errors import ConfigurationError, OntologyLoadFailure
from local_server.compute.scanpy import get_scanpy_module
from local_server.data_common.matrix_loader import MatrixDataLoader
class DatasetConfig(BaseConfig):
"""Manages the config attribute associated with a dataset."""
def __init__(self, tag, app_config, default_config):
super().__init__(app_config, default_config)
self.tag = tag
try:
self.app__scripts = default_config["app"]["scripts"]
self.app__inline_scripts = default_config["app"]["inline_scripts"]
self.app__authentication_enable = default_config["app"]["authentication_enable"]
self.presentation__max_categories = default_config["presentation"]["max_categories"]
self.presentation__custom_colors = default_config["presentation"]["custom_colors"]
self.user_annotations__enable = default_config["user_annotations"]["enable"]
self.user_annotations__type = default_config["user_annotations"]["type"]
self.user_annotations__local_file_csv__directory = default_config["user_annotations"]["local_file_csv"][
"directory"
]
self.user_annotations__local_file_csv__file = default_config["user_annotations"]["local_file_csv"]["file"]
self.user_annotations__ontology__enable = default_config["user_annotations"]["ontology"]["enable"]
self.user_annotations__ontology__obo_location = default_config["user_annotations"]["ontology"][
"obo_location"
]
self.embeddings__names = default_config["embeddings"]["names"]
self.embeddings__enable_reembedding = default_config["embeddings"]["enable_reembedding"]
self.diffexp__enable = default_config["diffexp"]["enable"]
self.diffexp__lfc_cutoff = default_config["diffexp"]["lfc_cutoff"]
self.diffexp__top_n = default_config["diffexp"]["top_n"]
except KeyError as e:
raise ConfigurationError(f"Unexpected config: {str(e)}")
# The annotation object is created during complete_config and stored here.
self.user_annotations = None
def complete_config(self, context):
self.handle_app()
self.handle_presentation()
self.handle_user_annotations(context)
self.handle_embeddings()
self.handle_diffexp(context)
def get_data_adaptor(self):
server_config = self.app_config.server_config
if not server_config.data_adaptor:
matrix_data_loader = MatrixDataLoader(
server_config.single_dataset__datapath, app_config=self.app_config
)
server_config.data_adaptor = matrix_data_loader.open(self.app_config)
return server_config.data_adaptor
def handle_app(self):
self.validate_correct_type_of_configuration_attribute("app__scripts", list)
self.validate_correct_type_of_configuration_attribute("app__inline_scripts", list)
self.validate_correct_type_of_configuration_attribute("app__authentication_enable", bool)
# scripts can be string (filename) or dict (attributes). Convert string to dict.
scripts = []
for script in self.app__scripts:
try:
if isinstance(script, str):
scripts.append({"src": script})
elif isinstance(script, dict) and isinstance(script["src"], str):
scripts.append(script)
else:
raise Exception
except Exception as e:
raise ConfigurationError(f"Scripts must be string or a dict containing an src key: {e}")
self.app__scripts = scripts
def handle_presentation(self):
self.validate_correct_type_of_configuration_attribute("presentation__max_categories", int)
self.validate_correct_type_of_configuration_attribute("presentation__custom_colors", bool)
def handle_user_annotations(self, context):
self.validate_correct_type_of_configuration_attribute("user_annotations__enable", bool)
self.validate_correct_type_of_configuration_attribute("user_annotations__type", str)
self.validate_correct_type_of_configuration_attribute(
"user_annotations__local_file_csv__directory", (type(None), str)
)
self.validate_correct_type_of_configuration_attribute(
"user_annotations__local_file_csv__file", (type(None), str)
)
self.validate_correct_type_of_configuration_attribute("user_annotations__ontology__enable", bool)
self.validate_correct_type_of_configuration_attribute(
"user_annotations__ontology__obo_location", (type(None), str)
)
if self.user_annotations__enable:
server_config = self.app_config.server_config
if not self.app__authentication_enable:
raise ConfigurationError("user annotations requires authentication to be enabled")
if not server_config.auth.is_valid_authentication_type():
auth_type = server_config.authentication__type
raise ConfigurationError(f"authentication method {auth_type} is not compatible with user annotations")
if self.user_annotations__type == "local_file_csv":
self.handle_local_file_csv_annotations()
else:
raise ConfigurationError('The only annotation type support is "local_file_csv"')
if self.user_annotations__ontology__enable or self.user_annotations__ontology__obo_location:
try:
self.user_annotations.load_ontology(self.user_annotations__ontology__obo_location)
except OntologyLoadFailure as e:
raise ConfigurationError("Unable to load ontology terms\n" + str(e))
else:
self.check_annotation_config_vars_not_set(context)
def handle_local_file_csv_annotations(self):
dirname = self.user_annotations__local_file_csv__directory
filename = self.user_annotations__local_file_csv__file
if filename is not None and dirname is not None:
raise ConfigurationError("'annotations-file' and 'annotations-dir' may not be used together.")
if filename is not None:
lf_name, lf_ext = splitext(filename)
if lf_ext and lf_ext != ".csv":
raise ConfigurationError(f"annotation file type must be .csv: {filename}")
if dirname is not None and not isdir(dirname):
try:
os.mkdir(dirname)
except OSError:
raise ConfigurationError("Unable to create directory specified by --annotations-dir")
self.user_annotations = AnnotationsLocalFile(dirname, filename)
# if the user has specified a fixed label file, go ahead and validate it
# so that we can remove errors early in the process.
server_config = self.app_config.server_config
if server_config.single_dataset__datapath and self.user_annotations__local_file_csv__file:
data_adaptor = self.get_data_adaptor()
data_adaptor.check_new_labels(self.user_annotations.read_labels(data_adaptor))
def check_annotation_config_vars_not_set(self, context):
if self.user_annotations__type is not None:
dirname = self.user_annotations__local_file_csv__directory
filename = self.user_annotations__local_file_csv__file
if filename is not None:
context["messagefn"]("Warning: --annotations-file ignored as annotations are disabled.")
if dirname is not None:
context["messagefn"]("Warning: --annotations-dir ignored as annotations are disabled.")
if self.user_annotations__ontology__enable:
context["messagefn"]("Warning: --experimental-annotations-ontology ignored as annotations are disabled.")
if self.user_annotations__ontology__obo_location is not None:
context["messagefn"](
"Warning: --experimental-annotations-ontology-obo ignored as annotations are disabled."
)
def handle_embeddings(self):
self.validate_correct_type_of_configuration_attribute("embeddings__names", list)
self.validate_correct_type_of_configuration_attribute("embeddings__enable_reembedding", bool)
server_config = self.app_config.server_config
if self.embeddings__enable_reembedding:
if server_config.single_dataset__datapath:
if server_config.adaptor__anndata_adaptor__backed:
raise ConfigurationError("enable-reembedding is not supported when run in --backed mode.")
try:
get_scanpy_module()
except NotImplementedError:
# Todo add scanpy to requirements.txt and remove this check once re-embeddings is fully supported
raise ConfigurationError("Please install scanpy to enable UMAP re-embedding")
def handle_diffexp(self, context):
self.validate_correct_type_of_configuration_attribute("diffexp__enable", bool)
self.validate_correct_type_of_configuration_attribute("diffexp__lfc_cutoff", float)
self.validate_correct_type_of_configuration_attribute("diffexp__top_n", int)
data_adaptor = self.get_data_adaptor()
if self.diffexp__enable and data_adaptor.parameters.get("diffexp_may_be_slow", False):
context["messagefn"](
"CAUTION: due to the size of your dataset, "
"running differential expression may take longer or fail."
)
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import os
from local_server.common.config.base_config import BaseConfig
from local_server.common.errors import ConfigurationError
from local_server.common.config import get_secret_key
from local_server.common.errors import SecretKeyRetrievalError
from local_server.common.utils.type_conversion_utils import convert_string_to_value
class ExternalConfig(BaseConfig):
"""Manages the config attribute associated with external configuration sources, such as
environment variables or the AWS Secrets Manager."""
def __init__(self, app_config, default_config):
super().__init__(app_config, default_config)
try:
self.environment = default_config["environment"]
self.aws_secrets_manager__region = default_config["aws_secrets_manager"]["region"]
self.aws_secrets_manager__secrets = default_config["aws_secrets_manager"]["secrets"]
except KeyError as e:
raise ConfigurationError(f"Unexpected config: {str(e)}")
def complete_config(self, context):
self.handle_environment(context)
self.handle_aws_secrets_manager(context)
def handle_environment(self, context):
"""For each environment variable defined, get the value (if it is set),
and set the specified config parameter"""
self.validate_correct_type_of_configuration_attribute("environment", list)
for envdict in self.environment:
name = envdict.get("name")
if name is None:
raise ConfigurationError("environment: 'name' is missing")
required = envdict.get("required", False)
if type(required) != bool:
raise ConfigurationError("environment: 'required' must be a bool")
path = envdict.get("path")
if path is None:
raise ConfigurationError("environment: 'path' is missing")
value = os.environ.get(name)
if value is None:
if required:
raise ConfigurationError(f"required environment variable '{name}' not set")
else:
value = convert_string_to_value(value)
self.app_config.update_single_config_from_path_and_value(path, value)
def handle_aws_secrets_manager(self, context):
"""For each aws secret defined, get the key/values, and set the specified config parameter"""
self.validate_correct_type_of_configuration_attribute("aws_secrets_manager__region", (type(None), str))
self.validate_correct_type_of_configuration_attribute("aws_secrets_manager__secrets", list)
if not self.aws_secrets_manager__secrets:
return
self.validate_correct_type_of_configuration_attribute("aws_secrets_manager__region", str)
for secret in self.aws_secrets_manager__secrets:
secret_name = secret.get("name")
if secret_name is None:
raise ConfigurationError("aws_secrets_manager: 'name' is missing")
if not isinstance(secret_name, str):
raise ConfigurationError("aws_secrets_manager: 'name' must be a string")
try:
secret_dict = get_secret_key(self.aws_secrets_manager__region, secret_name)
except SecretKeyRetrievalError as e:
raise ConfigurationError(f"Unable to retrieve secret {secret_name}: {str(e)}")
values = secret.get("values")
if values is None:
raise ConfigurationError("aws_secrets_manager: 'values' is missing")
if not isinstance(values, list):
raise ConfigurationError("aws_secrets_manager: 'values' must be a list")
for value in values:
key = value.get("key")
if key is None:
raise ConfigurationError(f"missing 'key' in secret values: {secret_name}")
path = value.get("path")
if path is None:
raise ConfigurationError(f"missing 'path' in secret values: {secret_name}")
required = value.get("required", False)
if type(required) != bool:
raise ConfigurationError(f"wrong type for 'required' in secret values: {secret_name}")
secret_value = secret_dict.get(key)
if secret_value is None:
if required:
raise ConfigurationError(f"required secret '{secret_name}:{key}' not set")
else:
secret_value = convert_string_to_value(secret_value)
self.app_config.update_single_config_from_path_and_value(path, secret_value)
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import os
import sys
import warnings
from os.path import basename
from urllib.parse import urlparse
from local_server.auth.auth import AuthTypeFactory
from local_server.common.config.base_config import BaseConfig
from local_server.common.config import DEFAULT_SERVER_PORT, BIG_FILE_SIZE_THRESHOLD
from local_server.common.errors import ConfigurationError, DatasetAccessError
from local_server.common.data_locator import discover_s3_region_name
from local_server.common.utils.utils import is_port_available, find_available_port, custom_format_warning
from local_server.data_common.matrix_loader import MatrixDataLoader
class ServerConfig(BaseConfig):
"""Manages the config attribute associated with the server."""
def __init__(self, app_config, default_config):
super().__init__(app_config, default_config)
try:
self.app__verbose = default_config["app"]["verbose"]
self.app__debug = default_config["app"]["debug"]
self.app__host = default_config["app"]["host"]
self.app__port = default_config["app"]["port"]
self.app__open_browser = default_config["app"]["open_browser"]
self.app__force_https = default_config["app"]["force_https"]
self.app__flask_secret_key = default_config["app"]["flask_secret_key"]
self.authentication__type = default_config["authentication"]["type"]
self.authentication__insecure_test_environment = default_config["authentication"][
"insecure_test_environment"
]
self.single_dataset__datapath = default_config["single_dataset"]["datapath"]
self.single_dataset__obs_names = default_config["single_dataset"]["obs_names"]
self.single_dataset__var_names = default_config["single_dataset"]["var_names"]
self.single_dataset__about = default_config["single_dataset"]["about"]
self.single_dataset__title = default_config["single_dataset"]["title"]
self.data_locator__s3__region_name = default_config["data_locator"]["s3"]["region_name"]
self.adaptor__anndata_adaptor__backed = default_config["adaptor"]["anndata_adaptor"]["backed"]
self.limits__diffexp_cellcount_max = default_config["limits"]["diffexp_cellcount_max"]
self.limits__column_request_max = default_config["limits"]["column_request_max"]
except KeyError as e:
raise ConfigurationError(f"Unexpected config: {str(e)}")
self.data_adaptor = None
# The authentication object
self.auth = None
def complete_config(self, context):
self.handle_app(context)
self.handle_data_source()
self.handle_authentication()
self.handle_data_locator()
self.handle_adaptor() # may depend on data_locator
self.handle_single_dataset(context) # may depend on adaptor
self.handle_limits()
self.check_config()
def handle_app(self, context):
self.validate_correct_type_of_configuration_attribute("app__verbose", bool)
self.validate_correct_type_of_configuration_attribute("app__debug", bool)
self.validate_correct_type_of_configuration_attribute("app__host", str)
self.validate_correct_type_of_configuration_attribute("app__port", (type(None), int))
self.validate_correct_type_of_configuration_attribute("app__open_browser", bool)
self.validate_correct_type_of_configuration_attribute("app__force_https", bool)
self.validate_correct_type_of_configuration_attribute("app__flask_secret_key", str)
if self.app__port:
try:
if not is_port_available(self.app__host, self.app__port):
raise ConfigurationError(
f"The port selected {self.app__port} is in use, please configure an open port."
)
except OverflowError:
raise ConfigurationError(f"Invalid port: {self.app__port}")
else:
try:
default_server_port = int(os.environ.get("CXG_SERVER_PORT", DEFAULT_SERVER_PORT))
except ValueError:
raise ConfigurationError(
"Invalid port from environment variable CXG_SERVER_PORT: " + os.environ.get("CXG_SERVER_PORT")
)
try:
self.app__port = find_available_port(self.app__host, default_server_port)
except OverflowError:
raise ConfigurationError(f"Invalid port: {default_server_port}")
if self.app__debug:
context["messagefn"]("in debug mode, setting verbose=True and open_browser=False")
self.app__verbose = True
self.app__open_browser = False
else:
warnings.formatwarning = custom_format_warning
if not self.app__verbose:
sys.tracebacklimit = 0
def handle_authentication(self):
self.validate_correct_type_of_configuration_attribute("authentication__type", (type(None), str))
self.validate_correct_type_of_configuration_attribute("authentication__insecure_test_environment", bool)
if self.authentication__type == "test" and not self.authentication__insecure_test_environment:
raise ConfigurationError("Test auth can only be used in an insecure test environment")
self.auth = AuthTypeFactory.create(self.authentication__type, self)
if self.auth is None:
raise ConfigurationError(f"Unknown authentication type: {self.authentication__type}")
def handle_data_locator(self):
self.validate_correct_type_of_configuration_attribute("data_locator__s3__region_name", (type(None), bool, str))
if self.data_locator__s3__region_name is True:
path = self.single_dataset__datapath
if path.startswith("s3://"):
region_name = discover_s3_region_name(path)
if region_name is None:
raise ConfigurationError(f"Unable to discover s3 region name from {path}")
else:
region_name = None
self.data_locator__s3__region_name = region_name
def handle_data_source(self):
self.validate_correct_type_of_configuration_attribute("single_dataset__datapath", str)
def handle_single_dataset(self, context):
self.validate_correct_type_of_configuration_attribute("single_dataset__datapath", (str, type(None)))
self.validate_correct_type_of_configuration_attribute("single_dataset__title", (str, type(None)))
self.validate_correct_type_of_configuration_attribute("single_dataset__about", (str, type(None)))
self.validate_correct_type_of_configuration_attribute("single_dataset__obs_names", (str, type(None)))
self.validate_correct_type_of_configuration_attribute("single_dataset__var_names", (str, type(None)))
# preload this data set
matrix_data_loader = MatrixDataLoader(self.single_dataset__datapath, app_config=self.app_config)
try:
matrix_data_loader.pre_load_validation()
except DatasetAccessError as e:
raise ConfigurationError(str(e))
file_size = matrix_data_loader.file_size()
file_basename = basename(self.single_dataset__datapath)
if file_size > BIG_FILE_SIZE_THRESHOLD:
context["messagefn"](f"Loading data from {file_basename}, this may take a while...")
else:
context["messagefn"](f"Loading data from {file_basename}.")
if self.single_dataset__about:
def url_check(url):
try:
result = urlparse(url)
if all([result.scheme, result.netloc]):
return True
else:
return False
except ValueError:
return False
if not url_check(self.single_dataset__about):
raise ConfigurationError(
"Must provide an absolute URL for --about. (Example format: http://example.com)"
)
def handle_adaptor(self):
self.validate_correct_type_of_configuration_attribute("adaptor__anndata_adaptor__backed", bool)
def handle_limits(self):
self.validate_correct_type_of_configuration_attribute("limits__diffexp_cellcount_max", (type(None), int))
self.validate_correct_type_of_configuration_attribute("limits__column_request_max", (type(None), int))
def exceeds_limit(self, limit_name, value):
limit_value = getattr(self, "limits__" + limit_name, None)
if limit_value is None: # disabled
return False
return value > limit_value