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
+171
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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()
)