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from collections.abc import MutableMapping
from cython.operator cimport dereference as deref
from .datatypes import DataType
_NP_DATA_PREFIX = "__np_flat_"
_NP_SHAPE_PREFIX = "__np_shape_"
cdef extern from "Python.h":
int PyBUF_READ
object PyMemoryView_FromMemory(char*, Py_ssize_t, int)
cdef object unpack_metadata_val(
tiledb_datatype_t value_type, uint32_t value_num, const char* value_ptr
):
assert value_num != 0, "internal error: unexpected value_num==0"
if value_type == TILEDB_STRING_UTF8:
return value_ptr[:value_num].decode('UTF-8') if value_ptr != NULL else ''
if value_type in (TILEDB_BLOB, TILEDB_CHAR, TILEDB_STRING_ASCII):
return value_ptr[:value_num] if value_ptr != NULL else b''
if value_ptr == NULL:
return ()
unpacked = [None] * value_num
cdef uint64_t itemsize = tiledb_datatype_size(value_type)
for i in range(value_num):
if value_type == TILEDB_INT64:
unpacked[i] = deref(<int64_t *> value_ptr)
elif value_type == TILEDB_FLOAT64:
unpacked[i] = deref(<double *> value_ptr)
elif value_type == TILEDB_FLOAT32:
unpacked[i] = deref(<float *> value_ptr)
elif value_type == TILEDB_INT32:
unpacked[i] = deref(<int32_t *> value_ptr)
elif value_type == TILEDB_UINT32:
unpacked[i] = deref(<uint32_t *> value_ptr)
elif value_type == TILEDB_UINT64:
unpacked[i] = deref(<uint64_t *> value_ptr)
elif value_type == TILEDB_INT8:
unpacked[i] = deref(<int8_t *> value_ptr)
elif value_type == TILEDB_UINT8:
unpacked[i] = deref(<uint8_t *> value_ptr)
elif value_type == TILEDB_INT16:
unpacked[i] = deref(<int16_t *> value_ptr)
elif value_type == TILEDB_UINT16:
unpacked[i] = deref(<uint16_t *> value_ptr)
else:
raise NotImplementedError(f"TileDB datatype '{value_type}' not supported")
value_ptr += itemsize
# we don't differentiate between length-1 sequences and scalars
return unpacked[0] if value_num == 1 else tuple(unpacked)
cdef np.ndarray unpack_metadata_ndarray(
tiledb_datatype_t value_type, uint32_t value_num, const char* value_ptr
):
cdef np.dtype dtype = DataType.from_tiledb(value_type).np_dtype
if value_ptr == NULL:
return np.array((), dtype=dtype)
# special case for TILEDB_STRING_UTF8: TileDB assumes size=1
if value_type != TILEDB_STRING_UTF8:
value_num *= dtype.itemsize
return np.frombuffer(PyMemoryView_FromMemory(<char*>value_ptr, value_num, PyBUF_READ),
dtype=dtype).copy()
cdef object unpack_metadata(
bint is_ndarray,
tiledb_datatype_t value_type,
uint32_t value_num,
const char * value_ptr
):
if value_ptr == NULL and value_num != 1:
raise KeyError
if is_ndarray:
return unpack_metadata_ndarray(value_type, value_num, value_ptr)
else:
return unpack_metadata_val(value_type, value_num, value_ptr)
cdef put_metadata(Array array, key, value):
cdef:
tiledb_datatype_t tiledb_type
uint32_t value_num
cdef const unsigned char[:] data_view
cdef const void* data_ptr
tiledb_ctx_t* ctx_ptr = NULL
if isinstance(value, np.ndarray):
if value.ndim != 1:
raise TypeError(f"Only 1D Numpy arrays can be stored as metadata")
dt = DataType.from_numpy(value.dtype)
if dt.ncells != 1:
raise TypeError(f"Unsupported dtype '{value.dtype}'")
tiledb_type = dt.tiledb_type
value_num = len(value)
# special case for TILEDB_STRING_UTF8: TileDB assumes size=1
if tiledb_type == TILEDB_STRING_UTF8:
value_num *= value.itemsize
data_ptr = np.PyArray_DATA(value)
else:
from .metadata import pack_metadata_val
packed_buf = pack_metadata_val(value)
tiledb_type = packed_buf.tdbtype
value_num = packed_buf.value_num
data_view = packed_buf.data
data_ptr = &data_view[0] if value_num > 0 else NULL
key_utf8 = key.encode('UTF-8')
cdef const char* key_utf8_ptr = <const char*>key_utf8
cdef int rc = TILEDB_OK
ctx_ptr = <tiledb_ctx_t*>PyCapsule_GetPointer(array.ctx.__capsule__(), "ctx")
with nogil:
rc = tiledb_array_put_metadata(
ctx_ptr,
array.ptr,
key_utf8_ptr,
tiledb_type,
value_num,
data_ptr,
)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
cdef object get_metadata(Array array, key, is_ndarray=False):
cdef:
tiledb_datatype_t value_type
uint32_t value_num = 0
const char* value_ptr = NULL
bytes key_utf8 = key.encode('UTF-8')
const char* key_utf8_ptr = <const char*>key_utf8
tiledb_ctx_t* ctx_ptr = NULL
cdef int32_t rc = TILEDB_OK
ctx_ptr = <tiledb_ctx_t*>PyCapsule_GetPointer(array.ctx.__capsule__(), "ctx")
with nogil:
rc = tiledb_array_get_metadata(
ctx_ptr,
array.ptr,
key_utf8_ptr,
&value_type,
&value_num,
<const void**>&value_ptr,
)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
return unpack_metadata(is_ndarray, value_type, value_num, value_ptr)
def iter_metadata(Array array, keys_only, dump=False):
"""
Iterate over array metadata keys or (key, value) tuples
:param array: tiledb_array_t
:param keys_only: whether to yield just keys or values too
"""
cdef:
tiledb_ctx_t* ctx_ptr = <tiledb_ctx_t*>PyCapsule_GetPointer(
array.ctx.__capsule__(), "ctx")
tiledb_array_t* array_ptr = array.ptr
uint64_t metadata_num
const char* key_ptr = NULL
uint32_t key_len
tiledb_datatype_t value_type
uint32_t value_num
const char* value_ptr = NULL
const char* value_type_str = NULL
if keys_only and dump:
raise ValueError("keys_only and dump cannot both be True")
cdef int32_t rc = TILEDB_OK
with nogil:
rc = tiledb_array_get_metadata_num(ctx_ptr, array_ptr, &metadata_num)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
for i in range(metadata_num):
with nogil:
rc = tiledb_array_get_metadata_from_index(
ctx_ptr,
array_ptr,
i,
&key_ptr,
&key_len,
&value_type,
&value_num,
<const void**>&value_ptr,
)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
key = key_ptr[:key_len].decode('UTF-8')
if keys_only:
yield key
else:
value = unpack_metadata(key.startswith(_NP_DATA_PREFIX),
value_type, value_num, value_ptr)
if dump:
rc = tiledb_datatype_to_str(value_type, &value_type_str)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
yield (
"### Array Metadata ###\n"
f"- Key: {key}\n"
f"- Value: {value}\n"
f"- Type: {value_type_str.decode('UTF-8')}\n"
)
else:
yield key, value
cdef class Metadata:
def __init__(self, array):
self.array_ref = weakref.ref(array)
@property
def array(self):
assert self.array_ref() is not None, \
"Internal error: invariant violation ([] from gc'd Array)"
return self.array_ref()
def __setitem__(self, key, value):
if not isinstance(key, str):
raise TypeError(f"Unexpected key type '{type(key)}': expected str")
# ensure previous key(s) are deleted (e.g. in case of replacing a
# non-numpy value with a numpy value or vice versa)
del self[key]
if isinstance(value, np.ndarray):
flat_value = value.ravel()
put_metadata(self.array, _NP_DATA_PREFIX + key, flat_value)
if value.shape != flat_value.shape:
put_metadata(self.array, _NP_SHAPE_PREFIX + key, value.shape)
else:
put_metadata(self.array, key, value)
def __getitem__(self, key):
if not isinstance(key, str):
raise TypeError(f"Unexpected key type '{type(key)}': expected str")
array = self.array
try:
return get_metadata(array, key)
except KeyError as ex:
try:
np_array = get_metadata(array, _NP_DATA_PREFIX + key, is_ndarray=True)
except KeyError:
raise KeyError(key) from None
try:
shape = get_metadata(array, _NP_SHAPE_PREFIX + key)
except KeyError:
return np_array
else:
return np_array.reshape(shape)
def __delitem__(self, key):
if not isinstance(key, str):
raise TypeError(f"Unexpected key type '{type(key)}': expected str")
cdef:
tiledb_ctx_t* ctx_ptr = <tiledb_ctx_t*>PyCapsule_GetPointer((
<Array>self.array).ctx.__capsule__(), "ctx")
tiledb_array_t* array_ptr = (<Array>self.array).ptr
const char* key_utf8_ptr
int32_t rc
# key may be stored as is or it may be prefixed (for numpy values)
# we don't know this here so delete all potential internal keys
for k in key, _NP_DATA_PREFIX + key, _NP_SHAPE_PREFIX + key:
key_utf8 = k.encode('UTF-8')
key_utf8_ptr = <const char*>key_utf8
with nogil:
rc = tiledb_array_delete_metadata(ctx_ptr, array_ptr, key_utf8_ptr)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
def __contains__(self, key):
if not isinstance(key, str):
raise TypeError(f"Unexpected key type '{type(key)}': expected str")
cdef:
tiledb_ctx_t* ctx_ptr = <tiledb_ctx_t*>PyCapsule_GetPointer((
<Array>self.array).ctx.__capsule__(), "ctx")
tiledb_array_t* array_ptr = (<Array>self.array).ptr
bytes key_utf8 = key.encode('UTF-8')
const char* key_utf8_ptr = <const char*>key_utf8
tiledb_datatype_t value_type
int32_t has_key
cdef int32_t rc = TILEDB_OK
with nogil:
rc = tiledb_array_has_metadata_key(
ctx_ptr,
array_ptr,
key_utf8_ptr,
&value_type,
&has_key,
)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
# if key doesn't exist, check the _NP_DATA_PREFIX prefixed key
if not has_key and not key.startswith(_NP_DATA_PREFIX):
has_key = self.__contains__(_NP_DATA_PREFIX + key)
return bool(has_key)
def consolidate(self):
"""
Consolidate array metadata. Array must be closed.
:return:
"""
# TODO: ensure that the array is not x-locked?
ctx = (<Array?> self.array).ctx
config = ctx.config()
cdef:
uint32_t rc = 0
tiledb_ctx_t* ctx_ptr = <tiledb_ctx_t*>PyCapsule_GetPointer(
ctx.__capsule__(), "ctx")
tiledb_config_t* config_ptr = NULL
tiledb_encryption_type_t key_type = TILEDB_NO_ENCRYPTION
const char* key_ptr = NULL
uint32_t key_len = 0
bytes bkey
bytes buri = unicode_path(self.array.uri)
str key = (<Array?>self.array).key
tiledb_error_t* err_ptr = NULL
if config:
config_ptr = <tiledb_config_t*>PyCapsule_GetPointer(
config.__capsule__(), "config")
if key is not None:
if isinstance(key, str):
bkey = key.encode('ascii')
else:
bkey = bytes(self.array.key)
key_type = TILEDB_AES_256_GCM
key_ptr = <const char *> PyBytes_AS_STRING(bkey)
#TODO: unsafe cast here ssize_t -> uint64_t
key_len = <uint32_t> PyBytes_GET_SIZE(bkey)
rc = tiledb_config_alloc(&config_ptr, &err_ptr)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
rc = tiledb_config_set(config_ptr, "sm.encryption_type", "AES_256_GCM", &err_ptr)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
rc = tiledb_config_set(config_ptr, "sm.encryption_key", key_ptr, &err_ptr)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
cdef const char* buri_ptr = <const char*>buri
with nogil:
rc = tiledb_array_consolidate(
ctx_ptr,
buri_ptr,
config_ptr)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
get = MutableMapping.get
update = MutableMapping.update
def setdefault(self, key, default=None):
raise NotImplementedError("Metadata.setdefault requires read-write access to array")
def pop(self, key, default=None):
raise NotImplementedError("Metadata.pop requires read-write access to array")
def popitem(self):
raise NotImplementedError("Metadata.popitem requires read-write access to array")
def clear(self):
raise NotImplementedError("Metadata.clear requires read-write access to array")
def __len__(self):
cdef:
tiledb_ctx_t* ctx_ptr = <tiledb_ctx_t*>PyCapsule_GetPointer((
<Array>self.array).ctx.__capsule__(), "ctx")
tiledb_array_t* array_ptr = (<Array>self.array).ptr
uint64_t num
cdef int32_t rc = TILEDB_OK
with nogil:
rc = tiledb_array_get_metadata_num(ctx_ptr, array_ptr, &num)
if rc != TILEDB_OK:
_raise_ctx_err(ctx_ptr, rc)
# subtract the _NP_SHAPE_PREFIX prefixed keys
for key in iter_metadata(self.array, keys_only=True):
if key.startswith(_NP_SHAPE_PREFIX):
num -= 1
return num
def __iter__(self):
np_data_prefix_len = len(_NP_DATA_PREFIX)
for key in iter_metadata(self.array, keys_only=True):
if key.startswith(_NP_DATA_PREFIX):
yield key[np_data_prefix_len:]
elif not key.startswith(_NP_SHAPE_PREFIX):
yield key
# else: ignore the shape keys
def keys(self):
"""
Return metadata keys as list.
:return: List of keys
"""
# TODO this should be an iterator/view
return list(self)
def values(self):
"""
Return metadata values as list.
:return: List of values
"""
# TODO this should be an iterator/view
return [v for k, v in self._iteritems()]
def items(self):
# TODO this should be an iterator/view
return tuple(self._iteritems())
def _iteritems(self):
np_data_prefix_len = len(_NP_DATA_PREFIX)
np_shape_prefix_len = len(_NP_SHAPE_PREFIX)
ndarray_items = []
np_shape_map = {}
# 1. yield all non-ndarray (key, value) pairs and keep track of
# the ndarray data and shape to assemble them later
for key, value in iter_metadata(self.array, keys_only=False):
if key.startswith(_NP_DATA_PREFIX):
ndarray_items.append((key[np_data_prefix_len:], value))
elif key.startswith(_NP_SHAPE_PREFIX):
np_shape_map[key[np_shape_prefix_len:]] = value
else:
yield key, value
# 2. yield all ndarray (key, value) pairs after reshaping (if necessary)
for key, value in ndarray_items:
shape = np_shape_map.get(key)
if shape is not None:
value = value.reshape(shape)
yield key, value
def dump(self):
for metadata in iter_metadata(self.array, keys_only=False, dump=True):
print(metadata) |