George Hotz
6 years ago
parent
c94fb86e2d
commit
cc6477015a
2 changed files with 1 additions and 211 deletions
@ -1,210 +0,0 @@ |
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import os |
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import numpy as np |
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import collections |
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from contextlib import closing |
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from common.file_helpers import mkdirs_exists_ok |
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class ColumnStoreReader(): |
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def __init__(self, path, mmap=False, allow_pickle=False, direct_io=False, prefix="", np_data=None): |
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if not (path and os.path.isdir(path)): |
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raise ValueError("Not a column store: {}".format(path)) |
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self._path = os.path.realpath(path) |
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self._keys = os.listdir(self._path) |
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self._mmap = mmap |
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self._allow_pickle = allow_pickle |
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self._direct_io = direct_io |
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self._is_dict = 'columnstore' in self._keys |
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self._prefix = prefix |
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self._np_data = np_data |
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@property |
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def path(self): |
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return self._path |
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def close(self): |
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pass |
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def get(self, key): |
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try: |
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return self[key] |
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except KeyError: |
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return None |
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def keys(self): |
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if self._is_dict: |
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if not self._np_data: |
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self._np_data = self._load(os.path.join(self._path, 'columnstore')) |
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# return top level keys by matching on prefix and splitting on '/' |
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return { |
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k[len(self._prefix):].split('/')[0] |
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for k in self._np_data.keys() |
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if k.startswith(self._prefix) |
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} |
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return list(self._keys) |
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def iteritems(self): |
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for k in self: |
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yield (k, self[k]) |
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def itervalues(self): |
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for k in self: |
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yield self[k] |
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def get_npy_path(self, key): |
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"""Gets a filesystem path for an npy file containing the specified array, |
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or none if the column store does not contain key. |
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""" |
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if key in self: |
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return os.path.join(self._path, key) |
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else: |
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return None |
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def _load(self, path): |
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if self._mmap: |
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# note that direct i/o does nothing for mmap since file read/write interface is not used |
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return np.load(path, mmap_mode='r', allow_pickle=self._allow_pickle, fix_imports=False) |
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if self._direct_io: |
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opener = lambda path, flags: os.open(path, os.O_RDONLY | os.O_DIRECT) |
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with open(path, 'rb', buffering=0, opener=opener) as f: |
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return np.load(f, allow_pickle=self._allow_pickle, fix_imports=False) |
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return np.load(path, allow_pickle=self._allow_pickle, fix_imports=False) |
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def __getitem__(self, key): |
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try: |
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if self._is_dict: |
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path = os.path.join(self._path, 'columnstore') |
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else: |
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path = os.path.join(self._path, key) |
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# TODO(mgraczyk): This implementation will need to change for zip. |
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if not self._is_dict and os.path.isdir(path): |
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return ColumnStoreReader(path) |
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else: |
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if self._is_dict and self._np_data: |
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ret = self._np_data |
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else: |
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ret = self._load(path) |
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if type(ret) == np.lib.npyio.NpzFile: |
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if self._is_dict: |
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if self._prefix+key in ret.keys(): |
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return ret[self._prefix+key] |
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if any(k.startswith(self._prefix+key+"/") for k in ret.keys()): |
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return ColumnStoreReader(self._path, mmap=self._mmap, allow_pickle=self._allow_pickle, direct_io=self._direct_io, prefix=self._prefix+key+"/", np_data=ret) |
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raise KeyError(self._prefix+key) |
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# if it's saved as compressed, it has arr_0 only in the file. deref this |
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return ret['arr_0'] |
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else: |
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return ret |
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except IOError: |
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raise KeyError(key) |
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def __contains__(self, item): |
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try: |
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self[item] |
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return True |
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except KeyError: |
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return False |
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def __len__(self): |
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return len(self._keys) |
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def __bool__(self): |
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return bool(self._keys) |
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def __iter__(self): |
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return iter(self._keys) |
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def __str__(self): |
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return "ColumnStoreReader({})".format(str({k: "..." for k in self._keys})) |
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def __enter__(self): return self |
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def __exit__(self, type, value, traceback): self.close() |
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class ColumnStoreWriter(): |
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def __init__(self, path, allow_pickle=False): |
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self._path = path |
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self._allow_pickle = allow_pickle |
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mkdirs_exists_ok(self._path) |
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def map_column(self, path, dtype, shape): |
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npy_path = os.path.join(self._path, path) |
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mkdirs_exists_ok(os.path.dirname(npy_path)) |
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return np.lib.format.open_memmap(npy_path, mode='w+', dtype=dtype, shape=shape) |
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def add_column(self, path, data, dtype=None, compression=False, overwrite=False): |
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npy_path = os.path.join(self._path, path) |
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mkdirs_exists_ok(os.path.dirname(npy_path)) |
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if overwrite: |
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f = open(npy_path, "wb") |
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else: |
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f = os.fdopen(os.open(npy_path, os.O_WRONLY | os.O_CREAT | os.O_EXCL), "wb") |
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with closing(f) as f: |
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data2 = np.array(data, copy=False, dtype=dtype) |
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if compression: |
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np.savez_compressed(f, data2) |
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else: |
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np.save(f, data2, allow_pickle=self._allow_pickle, fix_imports=False) |
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def add_group(self, group_name): |
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# TODO(mgraczyk): This implementation will need to change if we add zip or compression. |
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return ColumnStoreWriter(os.path.join(self._path, group_name)) |
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def add_dict(self, data, dtypes=None, compression=False, overwrite=False): |
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# default name exists to have backward compatibility with equivalent directory structure |
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npy_path = os.path.join(self._path, "columnstore") |
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mkdirs_exists_ok(os.path.dirname(npy_path)) |
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flat_dict = dict() |
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_flatten_dict(flat_dict, "", data) |
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for k, v in flat_dict.items(): |
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dtype = dtypes[k] if dtypes is not None and k in dtypes else None |
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flat_dict[k] = np.array(v, copy=False, dtype=dtype) |
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if overwrite: |
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f = open(npy_path, "wb") |
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else: |
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f = os.fdopen(os.open(npy_path, os.O_WRONLY | os.O_CREAT | os.O_EXCL), "wb") |
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with closing(f) as f: |
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if compression: |
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np.savez_compressed(f, **flat_dict) |
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else: |
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np.savez(f, **flat_dict) |
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def close(self): |
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pass |
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def __enter__(self): return self |
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def __exit__(self, type, value, traceback): self.close() |
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def _flatten_dict(flat, ns, d): |
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for k, v in d.items(): |
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p = (ns + "/" if len(ns) else "") + k |
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if isinstance(v, collections.Mapping): |
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_flatten_dict(flat, p, v) |
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else: |
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flat[p] = v |
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def _save_dict_as_column_store(values, writer, compression): |
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for k, v in values.items(): |
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if isinstance(v, collections.Mapping): |
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_save_dict_as_column_store(v, writer.add_group(k), compression) |
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else: |
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writer.add_column(k, v, compression=compression) |
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def save_dict_as_column_store(values, output_path, compression=False): |
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with ColumnStoreWriter(output_path) as writer: |
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_save_dict_as_column_store(values, writer, compression) |
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