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
@@ -0,0 +1,98 @@
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
import flatbuffers
class Matrix(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsMatrix(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Matrix()
x.Init(buf, n + offset)
return x
# Matrix
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Matrix
def NRows(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
return 0
# Matrix
def NCols(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
return 0
# Matrix
def Columns(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
x = self._tab.Vector(o)
x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
x = self._tab.Indirect(x)
from .Column import Column
obj = Column()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Matrix
def ColumnsLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Matrix
def ColIndexType(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
return 0
# Matrix
def ColIndex(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
from flatbuffers.table import Table
obj = Table(bytearray(), 0)
self._tab.Union(obj, o)
return obj
return None
# Matrix
def RowIndexType(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
return 0
# Matrix
def RowIndex(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
from flatbuffers.table import Table
obj = Table(bytearray(), 0)
self._tab.Union(obj, o)
return obj
return None
def MatrixStart(builder): builder.StartObject(7)
def MatrixAddNRows(builder, nRows): builder.PrependUint32Slot(0, nRows, 0)
def MatrixAddNCols(builder, nCols): builder.PrependUint32Slot(1, nCols, 0)
def MatrixAddColumns(builder, columns): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(columns), 0)
def MatrixStartColumnsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def MatrixAddColIndexType(builder, colIndexType): builder.PrependUint8Slot(3, colIndexType, 0)
def MatrixAddColIndex(builder, colIndex): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(colIndex), 0)
def MatrixAddRowIndexType(builder, rowIndexType): builder.PrependUint8Slot(5, rowIndexType, 0)
def MatrixAddRowIndex(builder, rowIndex): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(rowIndex), 0)
def MatrixEnd(builder): return builder.EndObject()