craftbeerpi4-pione/venv/lib/python3.8/site-packages/pandas/io/sas/sas7bdat.py

789 lines
28 KiB
Python

"""
Read SAS7BDAT files
Based on code written by Jared Hobbs:
https://bitbucket.org/jaredhobbs/sas7bdat
See also:
https://github.com/BioStatMatt/sas7bdat
Partial documentation of the file format:
https://cran.r-project.org/package=sas7bdat/vignettes/sas7bdat.pdf
Reference for binary data compression:
http://collaboration.cmc.ec.gc.ca/science/rpn/biblio/ddj/Website/articles/CUJ/1992/9210/ross/ross.htm
"""
from collections import abc
from datetime import datetime, timedelta
import struct
from typing import IO, Any, Union, cast
import numpy as np
from pandas.errors import EmptyDataError, OutOfBoundsDatetime
import pandas as pd
from pandas.io.common import get_handle
from pandas.io.sas._sas import Parser
import pandas.io.sas.sas_constants as const
from pandas.io.sas.sasreader import ReaderBase
def _convert_datetimes(sas_datetimes: pd.Series, unit: str) -> pd.Series:
"""
Convert to Timestamp if possible, otherwise to datetime.datetime.
SAS float64 lacks precision for more than ms resolution so the fit
to datetime.datetime is ok.
Parameters
----------
sas_datetimes : {Series, Sequence[float]}
Dates or datetimes in SAS
unit : {str}
"d" if the floats represent dates, "s" for datetimes
Returns
-------
Series
Series of datetime64 dtype or datetime.datetime.
"""
try:
return pd.to_datetime(sas_datetimes, unit=unit, origin="1960-01-01")
except OutOfBoundsDatetime:
if unit == "s":
return sas_datetimes.apply(
lambda sas_float: datetime(1960, 1, 1) + timedelta(seconds=sas_float)
)
elif unit == "d":
return sas_datetimes.apply(
lambda sas_float: datetime(1960, 1, 1) + timedelta(days=sas_float)
)
else:
raise ValueError("unit must be 'd' or 's'")
class _SubheaderPointer:
offset: int
length: int
compression: int
ptype: int
def __init__(self, offset: int, length: int, compression: int, ptype: int):
self.offset = offset
self.length = length
self.compression = compression
self.ptype = ptype
class _Column:
col_id: int
name: Union[str, bytes]
label: Union[str, bytes]
format: Union[str, bytes] # TODO: i think allowing bytes is from py2 days
ctype: bytes
length: int
def __init__(
self,
col_id: int,
name: Union[str, bytes],
label: Union[str, bytes],
format: Union[str, bytes],
ctype: bytes,
length: int,
):
self.col_id = col_id
self.name = name
self.label = label
self.format = format
self.ctype = ctype
self.length = length
# SAS7BDAT represents a SAS data file in SAS7BDAT format.
class SAS7BDATReader(ReaderBase, abc.Iterator):
"""
Read SAS files in SAS7BDAT format.
Parameters
----------
path_or_buf : path name or buffer
Name of SAS file or file-like object pointing to SAS file
contents.
index : column identifier, defaults to None
Column to use as index.
convert_dates : boolean, defaults to True
Attempt to convert dates to Pandas datetime values. Note that
some rarely used SAS date formats may be unsupported.
blank_missing : boolean, defaults to True
Convert empty strings to missing values (SAS uses blanks to
indicate missing character variables).
chunksize : int, defaults to None
Return SAS7BDATReader object for iterations, returns chunks
with given number of lines.
encoding : string, defaults to None
String encoding.
convert_text : bool, defaults to True
If False, text variables are left as raw bytes.
convert_header_text : bool, defaults to True
If False, header text, including column names, are left as raw
bytes.
"""
def __init__(
self,
path_or_buf,
index=None,
convert_dates=True,
blank_missing=True,
chunksize=None,
encoding=None,
convert_text=True,
convert_header_text=True,
):
self.index = index
self.convert_dates = convert_dates
self.blank_missing = blank_missing
self.chunksize = chunksize
self.encoding = encoding
self.convert_text = convert_text
self.convert_header_text = convert_header_text
self.default_encoding = "latin-1"
self.compression = b""
self.column_names_strings = []
self.column_names = []
self.column_formats = []
self.columns = []
self._current_page_data_subheader_pointers = []
self._cached_page = None
self._column_data_lengths = []
self._column_data_offsets = []
self._column_types = []
self._current_row_in_file_index = 0
self._current_row_on_page_index = 0
self._current_row_in_file_index = 0
self.handles = get_handle(path_or_buf, "rb", is_text=False)
self._path_or_buf = cast(IO[Any], self.handles.handle)
try:
self._get_properties()
self._parse_metadata()
except Exception:
self.close()
raise
def column_data_lengths(self):
"""Return a numpy int64 array of the column data lengths"""
return np.asarray(self._column_data_lengths, dtype=np.int64)
def column_data_offsets(self):
"""Return a numpy int64 array of the column offsets"""
return np.asarray(self._column_data_offsets, dtype=np.int64)
def column_types(self):
"""
Returns a numpy character array of the column types:
s (string) or d (double)
"""
return np.asarray(self._column_types, dtype=np.dtype("S1"))
def close(self):
self.handles.close()
def _get_properties(self):
# Check magic number
self._path_or_buf.seek(0)
self._cached_page = self._path_or_buf.read(288)
if self._cached_page[0 : len(const.magic)] != const.magic:
raise ValueError("magic number mismatch (not a SAS file?)")
# Get alignment information
align1, align2 = 0, 0
buf = self._read_bytes(const.align_1_offset, const.align_1_length)
if buf == const.u64_byte_checker_value:
align2 = const.align_2_value
self.U64 = True
self._int_length = 8
self._page_bit_offset = const.page_bit_offset_x64
self._subheader_pointer_length = const.subheader_pointer_length_x64
else:
self.U64 = False
self._page_bit_offset = const.page_bit_offset_x86
self._subheader_pointer_length = const.subheader_pointer_length_x86
self._int_length = 4
buf = self._read_bytes(const.align_2_offset, const.align_2_length)
if buf == const.align_1_checker_value:
align1 = const.align_2_value
total_align = align1 + align2
# Get endianness information
buf = self._read_bytes(const.endianness_offset, const.endianness_length)
if buf == b"\x01":
self.byte_order = "<"
else:
self.byte_order = ">"
# Get encoding information
buf = self._read_bytes(const.encoding_offset, const.encoding_length)[0]
if buf in const.encoding_names:
self.file_encoding = const.encoding_names[buf]
else:
self.file_encoding = f"unknown (code={buf})"
# Get platform information
buf = self._read_bytes(const.platform_offset, const.platform_length)
if buf == b"1":
self.platform = "unix"
elif buf == b"2":
self.platform = "windows"
else:
self.platform = "unknown"
buf = self._read_bytes(const.dataset_offset, const.dataset_length)
self.name = buf.rstrip(b"\x00 ")
if self.convert_header_text:
self.name = self.name.decode(self.encoding or self.default_encoding)
buf = self._read_bytes(const.file_type_offset, const.file_type_length)
self.file_type = buf.rstrip(b"\x00 ")
if self.convert_header_text:
self.file_type = self.file_type.decode(
self.encoding or self.default_encoding
)
# Timestamp is epoch 01/01/1960
epoch = datetime(1960, 1, 1)
x = self._read_float(
const.date_created_offset + align1, const.date_created_length
)
self.date_created = epoch + pd.to_timedelta(x, unit="s")
x = self._read_float(
const.date_modified_offset + align1, const.date_modified_length
)
self.date_modified = epoch + pd.to_timedelta(x, unit="s")
self.header_length = self._read_int(
const.header_size_offset + align1, const.header_size_length
)
# Read the rest of the header into cached_page.
buf = self._path_or_buf.read(self.header_length - 288)
self._cached_page += buf
if len(self._cached_page) != self.header_length:
raise ValueError("The SAS7BDAT file appears to be truncated.")
self._page_length = self._read_int(
const.page_size_offset + align1, const.page_size_length
)
self._page_count = self._read_int(
const.page_count_offset + align1, const.page_count_length
)
buf = self._read_bytes(
const.sas_release_offset + total_align, const.sas_release_length
)
self.sas_release = buf.rstrip(b"\x00 ")
if self.convert_header_text:
self.sas_release = self.sas_release.decode(
self.encoding or self.default_encoding
)
buf = self._read_bytes(
const.sas_server_type_offset + total_align, const.sas_server_type_length
)
self.server_type = buf.rstrip(b"\x00 ")
if self.convert_header_text:
self.server_type = self.server_type.decode(
self.encoding or self.default_encoding
)
buf = self._read_bytes(
const.os_version_number_offset + total_align, const.os_version_number_length
)
self.os_version = buf.rstrip(b"\x00 ")
if self.convert_header_text:
self.os_version = self.os_version.decode(
self.encoding or self.default_encoding
)
buf = self._read_bytes(const.os_name_offset + total_align, const.os_name_length)
buf = buf.rstrip(b"\x00 ")
if len(buf) > 0:
self.os_name = buf.decode(self.encoding or self.default_encoding)
else:
buf = self._read_bytes(
const.os_maker_offset + total_align, const.os_maker_length
)
self.os_name = buf.rstrip(b"\x00 ")
if self.convert_header_text:
self.os_name = self.os_name.decode(
self.encoding or self.default_encoding
)
def __next__(self):
da = self.read(nrows=self.chunksize or 1)
if da is None:
self.close()
raise StopIteration
return da
# Read a single float of the given width (4 or 8).
def _read_float(self, offset, width):
if width not in (4, 8):
self.close()
raise ValueError("invalid float width")
buf = self._read_bytes(offset, width)
fd = "f" if width == 4 else "d"
return struct.unpack(self.byte_order + fd, buf)[0]
# Read a single signed integer of the given width (1, 2, 4 or 8).
def _read_int(self, offset: int, width: int) -> int:
if width not in (1, 2, 4, 8):
self.close()
raise ValueError("invalid int width")
buf = self._read_bytes(offset, width)
it = {1: "b", 2: "h", 4: "l", 8: "q"}[width]
iv = struct.unpack(self.byte_order + it, buf)[0]
return iv
def _read_bytes(self, offset: int, length: int):
if self._cached_page is None:
self._path_or_buf.seek(offset)
buf = self._path_or_buf.read(length)
if len(buf) < length:
self.close()
msg = f"Unable to read {length:d} bytes from file position {offset:d}."
raise ValueError(msg)
return buf
else:
if offset + length > len(self._cached_page):
self.close()
raise ValueError("The cached page is too small.")
return self._cached_page[offset : offset + length]
def _parse_metadata(self):
done = False
while not done:
self._cached_page = self._path_or_buf.read(self._page_length)
if len(self._cached_page) <= 0:
break
if len(self._cached_page) != self._page_length:
raise ValueError("Failed to read a meta data page from the SAS file.")
done = self._process_page_meta()
def _process_page_meta(self):
self._read_page_header()
pt = [const.page_meta_type, const.page_amd_type] + const.page_mix_types
if self._current_page_type in pt:
self._process_page_metadata()
is_data_page = self._current_page_type & const.page_data_type
is_mix_page = self._current_page_type in const.page_mix_types
return (
is_data_page
or is_mix_page
or self._current_page_data_subheader_pointers != []
)
def _read_page_header(self):
bit_offset = self._page_bit_offset
tx = const.page_type_offset + bit_offset
self._current_page_type = self._read_int(tx, const.page_type_length)
tx = const.block_count_offset + bit_offset
self._current_page_block_count = self._read_int(tx, const.block_count_length)
tx = const.subheader_count_offset + bit_offset
self._current_page_subheaders_count = self._read_int(
tx, const.subheader_count_length
)
def _process_page_metadata(self):
bit_offset = self._page_bit_offset
for i in range(self._current_page_subheaders_count):
pointer = self._process_subheader_pointers(
const.subheader_pointers_offset + bit_offset, i
)
if pointer.length == 0:
continue
if pointer.compression == const.truncated_subheader_id:
continue
subheader_signature = self._read_subheader_signature(pointer.offset)
subheader_index = self._get_subheader_index(
subheader_signature, pointer.compression, pointer.ptype
)
self._process_subheader(subheader_index, pointer)
def _get_subheader_index(self, signature, compression, ptype):
index = const.subheader_signature_to_index.get(signature)
if index is None:
f1 = (compression == const.compressed_subheader_id) or (compression == 0)
f2 = ptype == const.compressed_subheader_type
if (self.compression != b"") and f1 and f2:
index = const.SASIndex.data_subheader_index
else:
self.close()
raise ValueError("Unknown subheader signature")
return index
def _process_subheader_pointers(self, offset: int, subheader_pointer_index: int):
subheader_pointer_length = self._subheader_pointer_length
total_offset = offset + subheader_pointer_length * subheader_pointer_index
subheader_offset = self._read_int(total_offset, self._int_length)
total_offset += self._int_length
subheader_length = self._read_int(total_offset, self._int_length)
total_offset += self._int_length
subheader_compression = self._read_int(total_offset, 1)
total_offset += 1
subheader_type = self._read_int(total_offset, 1)
x = _SubheaderPointer(
subheader_offset, subheader_length, subheader_compression, subheader_type
)
return x
def _read_subheader_signature(self, offset):
subheader_signature = self._read_bytes(offset, self._int_length)
return subheader_signature
def _process_subheader(self, subheader_index, pointer):
offset = pointer.offset
length = pointer.length
if subheader_index == const.SASIndex.row_size_index:
processor = self._process_rowsize_subheader
elif subheader_index == const.SASIndex.column_size_index:
processor = self._process_columnsize_subheader
elif subheader_index == const.SASIndex.column_text_index:
processor = self._process_columntext_subheader
elif subheader_index == const.SASIndex.column_name_index:
processor = self._process_columnname_subheader
elif subheader_index == const.SASIndex.column_attributes_index:
processor = self._process_columnattributes_subheader
elif subheader_index == const.SASIndex.format_and_label_index:
processor = self._process_format_subheader
elif subheader_index == const.SASIndex.column_list_index:
processor = self._process_columnlist_subheader
elif subheader_index == const.SASIndex.subheader_counts_index:
processor = self._process_subheader_counts
elif subheader_index == const.SASIndex.data_subheader_index:
self._current_page_data_subheader_pointers.append(pointer)
return
else:
raise ValueError("unknown subheader index")
processor(offset, length)
def _process_rowsize_subheader(self, offset, length):
int_len = self._int_length
lcs_offset = offset
lcp_offset = offset
if self.U64:
lcs_offset += 682
lcp_offset += 706
else:
lcs_offset += 354
lcp_offset += 378
self.row_length = self._read_int(
offset + const.row_length_offset_multiplier * int_len, int_len
)
self.row_count = self._read_int(
offset + const.row_count_offset_multiplier * int_len, int_len
)
self.col_count_p1 = self._read_int(
offset + const.col_count_p1_multiplier * int_len, int_len
)
self.col_count_p2 = self._read_int(
offset + const.col_count_p2_multiplier * int_len, int_len
)
mx = const.row_count_on_mix_page_offset_multiplier * int_len
self._mix_page_row_count = self._read_int(offset + mx, int_len)
self._lcs = self._read_int(lcs_offset, 2)
self._lcp = self._read_int(lcp_offset, 2)
def _process_columnsize_subheader(self, offset, length):
int_len = self._int_length
offset += int_len
self.column_count = self._read_int(offset, int_len)
if self.col_count_p1 + self.col_count_p2 != self.column_count:
print(
f"Warning: column count mismatch ({self.col_count_p1} + "
f"{self.col_count_p2} != {self.column_count})\n"
)
# Unknown purpose
def _process_subheader_counts(self, offset, length):
pass
def _process_columntext_subheader(self, offset, length):
offset += self._int_length
text_block_size = self._read_int(offset, const.text_block_size_length)
buf = self._read_bytes(offset, text_block_size)
cname_raw = buf[0:text_block_size].rstrip(b"\x00 ")
cname = cname_raw
if self.convert_header_text:
cname = cname.decode(self.encoding or self.default_encoding)
self.column_names_strings.append(cname)
if len(self.column_names_strings) == 1:
compression_literal = b""
for cl in const.compression_literals:
if cl in cname_raw:
compression_literal = cl
self.compression = compression_literal
offset -= self._int_length
offset1 = offset + 16
if self.U64:
offset1 += 4
buf = self._read_bytes(offset1, self._lcp)
compression_literal = buf.rstrip(b"\x00")
if compression_literal == b"":
self._lcs = 0
offset1 = offset + 32
if self.U64:
offset1 += 4
buf = self._read_bytes(offset1, self._lcp)
self.creator_proc = buf[0 : self._lcp]
elif compression_literal == const.rle_compression:
offset1 = offset + 40
if self.U64:
offset1 += 4
buf = self._read_bytes(offset1, self._lcp)
self.creator_proc = buf[0 : self._lcp]
elif self._lcs > 0:
self._lcp = 0
offset1 = offset + 16
if self.U64:
offset1 += 4
buf = self._read_bytes(offset1, self._lcs)
self.creator_proc = buf[0 : self._lcp]
if self.convert_header_text:
if hasattr(self, "creator_proc"):
self.creator_proc = self.creator_proc.decode(
self.encoding or self.default_encoding
)
def _process_columnname_subheader(self, offset, length):
int_len = self._int_length
offset += int_len
column_name_pointers_count = (length - 2 * int_len - 12) // 8
for i in range(column_name_pointers_count):
text_subheader = (
offset
+ const.column_name_pointer_length * (i + 1)
+ const.column_name_text_subheader_offset
)
col_name_offset = (
offset
+ const.column_name_pointer_length * (i + 1)
+ const.column_name_offset_offset
)
col_name_length = (
offset
+ const.column_name_pointer_length * (i + 1)
+ const.column_name_length_offset
)
idx = self._read_int(
text_subheader, const.column_name_text_subheader_length
)
col_offset = self._read_int(
col_name_offset, const.column_name_offset_length
)
col_len = self._read_int(col_name_length, const.column_name_length_length)
name_str = self.column_names_strings[idx]
self.column_names.append(name_str[col_offset : col_offset + col_len])
def _process_columnattributes_subheader(self, offset, length):
int_len = self._int_length
column_attributes_vectors_count = (length - 2 * int_len - 12) // (int_len + 8)
for i in range(column_attributes_vectors_count):
col_data_offset = (
offset + int_len + const.column_data_offset_offset + i * (int_len + 8)
)
col_data_len = (
offset
+ 2 * int_len
+ const.column_data_length_offset
+ i * (int_len + 8)
)
col_types = (
offset + 2 * int_len + const.column_type_offset + i * (int_len + 8)
)
x = self._read_int(col_data_offset, int_len)
self._column_data_offsets.append(x)
x = self._read_int(col_data_len, const.column_data_length_length)
self._column_data_lengths.append(x)
x = self._read_int(col_types, const.column_type_length)
self._column_types.append(b"d" if x == 1 else b"s")
def _process_columnlist_subheader(self, offset, length):
# unknown purpose
pass
def _process_format_subheader(self, offset, length):
int_len = self._int_length
text_subheader_format = (
offset + const.column_format_text_subheader_index_offset + 3 * int_len
)
col_format_offset = offset + const.column_format_offset_offset + 3 * int_len
col_format_len = offset + const.column_format_length_offset + 3 * int_len
text_subheader_label = (
offset + const.column_label_text_subheader_index_offset + 3 * int_len
)
col_label_offset = offset + const.column_label_offset_offset + 3 * int_len
col_label_len = offset + const.column_label_length_offset + 3 * int_len
x = self._read_int(
text_subheader_format, const.column_format_text_subheader_index_length
)
format_idx = min(x, len(self.column_names_strings) - 1)
format_start = self._read_int(
col_format_offset, const.column_format_offset_length
)
format_len = self._read_int(col_format_len, const.column_format_length_length)
label_idx = self._read_int(
text_subheader_label, const.column_label_text_subheader_index_length
)
label_idx = min(label_idx, len(self.column_names_strings) - 1)
label_start = self._read_int(col_label_offset, const.column_label_offset_length)
label_len = self._read_int(col_label_len, const.column_label_length_length)
label_names = self.column_names_strings[label_idx]
column_label = label_names[label_start : label_start + label_len]
format_names = self.column_names_strings[format_idx]
column_format = format_names[format_start : format_start + format_len]
current_column_number = len(self.columns)
col = _Column(
current_column_number,
self.column_names[current_column_number],
column_label,
column_format,
self._column_types[current_column_number],
self._column_data_lengths[current_column_number],
)
self.column_formats.append(column_format)
self.columns.append(col)
def read(self, nrows=None):
if (nrows is None) and (self.chunksize is not None):
nrows = self.chunksize
elif nrows is None:
nrows = self.row_count
if len(self._column_types) == 0:
self.close()
raise EmptyDataError("No columns to parse from file")
if self._current_row_in_file_index >= self.row_count:
return None
m = self.row_count - self._current_row_in_file_index
if nrows > m:
nrows = m
nd = self._column_types.count(b"d")
ns = self._column_types.count(b"s")
self._string_chunk = np.empty((ns, nrows), dtype=object)
self._byte_chunk = np.zeros((nd, 8 * nrows), dtype=np.uint8)
self._current_row_in_chunk_index = 0
p = Parser(self)
p.read(nrows)
rslt = self._chunk_to_dataframe()
if self.index is not None:
rslt = rslt.set_index(self.index)
return rslt
def _read_next_page(self):
self._current_page_data_subheader_pointers = []
self._cached_page = self._path_or_buf.read(self._page_length)
if len(self._cached_page) <= 0:
return True
elif len(self._cached_page) != self._page_length:
self.close()
msg = (
"failed to read complete page from file (read "
f"{len(self._cached_page):d} of {self._page_length:d} bytes)"
)
raise ValueError(msg)
self._read_page_header()
page_type = self._current_page_type
if page_type == const.page_meta_type:
self._process_page_metadata()
is_data_page = page_type & const.page_data_type
pt = [const.page_meta_type] + const.page_mix_types
if not is_data_page and self._current_page_type not in pt:
return self._read_next_page()
return False
def _chunk_to_dataframe(self):
n = self._current_row_in_chunk_index
m = self._current_row_in_file_index
ix = range(m - n, m)
rslt = pd.DataFrame(index=ix)
js, jb = 0, 0
for j in range(self.column_count):
name = self.column_names[j]
if self._column_types[j] == b"d":
rslt[name] = self._byte_chunk[jb, :].view(dtype=self.byte_order + "d")
rslt[name] = np.asarray(rslt[name], dtype=np.float64)
if self.convert_dates:
if self.column_formats[j] in const.sas_date_formats:
rslt[name] = _convert_datetimes(rslt[name], "d")
elif self.column_formats[j] in const.sas_datetime_formats:
rslt[name] = _convert_datetimes(rslt[name], "s")
jb += 1
elif self._column_types[j] == b"s":
rslt[name] = self._string_chunk[js, :]
if self.convert_text and (self.encoding is not None):
rslt[name] = rslt[name].str.decode(
self.encoding or self.default_encoding
)
if self.blank_missing:
ii = rslt[name].str.len() == 0
rslt.loc[ii, name] = np.nan
js += 1
else:
self.close()
raise ValueError(f"unknown column type {self._column_types[j]}")
return rslt