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

server/common/annotations/annotations.py

@@ -1,70 +0,0 @@
-from abc import ABCMeta, abstractmethod
-
-import fastobo
-import fsspec
-
-from server.common.errors import OntologyLoadFailure
-from server.common.utils.type_conversion_utils import get_schema_type_hint_of_array
-
-
-class Annotations(metaclass=ABCMeta):
-    """ baseclass for annotations, including ontologies"""
-
-    """ our default ontology is the PURL for the Cell Ontology.
-    See http://www.obofoundry.org/ontology/cl.html """
-    DefaultOnotology = "http://purl.obolibrary.org/obo/cl.obo"
-
-    def __init__(self):
-        self.ontology_data = None
-
-    def load_ontology(self, path):
-        """Load and parse ontologies - currently support OBO files only."""
-        if path is None:
-            path = self.DefaultOnotology
-
-        try:
-            with fsspec.open(path) as f:
-                obo = fastobo.iter(f)
-                terms = filter(lambda stanza: type(stanza) is fastobo.term.TermFrame, obo)
-                names = [tag.name for term in terms for tag in term if type(tag) is fastobo.term.NameClause]
-                self.ontology_data = names
-
-        except FileNotFoundError as e:
-            raise OntologyLoadFailure("Unable to find OBO ontology path") from e
-
-        except SyntaxError as e:
-            raise OntologyLoadFailure(f"{path}:{e.lineno}:{e.offset} OBO syntax error, unable to read ontology") from e
-
-        except Exception as e:
-            raise OntologyLoadFailure(f"{path}:Error loading OBO file") from e
-
-    def get_schema(self, data_adaptor):
-        schema = []
-        labels = self.read_labels(data_adaptor)
-        if labels is not None and not labels.empty:
-            for col in labels.columns:
-                col_schema = dict(name=col, writable=True)
-                col_schema.update(get_schema_type_hint_of_array(labels[col]))
-                schema.append(col_schema)
-
-        return schema
-
-    @abstractmethod
-    def set_collection(self, name):
-        """set or create a new annotation collection"""
-        pass
-
-    @abstractmethod
-    def read_labels(self, data_adaptor):
-        """Return the labels as a pandas.DataFrame"""
-        pass
-
-    @abstractmethod
-    def write_labels(self, df, data_adaptor):
-        """Write the labels (df) to a persistent storage such that it can later be read"""
-        pass
-
-    @abstractmethod
-    def update_parameters(self, parameters, data_adaptor):
-        """Update configuration parameters that describe information about the annotations feature"""
-        pass