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a21f8187f8
Squashing two squashes. Adding DBF support Adding the DBFpy python package The DBFpy package provides basic dbf support for python. Still need to write an interface format file for tablib. Adding DBF format and imports in compat.py Adding DBF format to formats.__init__ DBF format had not been committed to formats.__init__, so I’m adding it. Adding a dbf import test Adding at test to check whether a DBF can be created properly and compare it against a regression binary string. Adding an import_set test (and renaming another) Adding an import_set test that conforms with the other import_set tests for other formats. I’m also adding an export_set function. Fixing system site-packages import Importing dbfpy from tab lib.packages instead of system site packages. Fixing a syntaxError in dbfpy/dbfnew.py Fixing an issue with ending field definitions DBFPY, when writing a DBF, terminates the field definitions with a newline character. When importing a DBF from a stream, however, DBFPY was looking only for the \x0D character rather than the newline. Now we consider both cases. Adding a test for dbf format detection Adding DBF filetype detection tests Adding tests for YAML, JSON, TSV, CSV using the DBF detection function. Handling extra exceptions in dbf detection Adding exception handling for struct.error, an exception that DBFPY raises when trying to unpack a TSV table. Since it’s not a DBF file, we know it’s not a DBF and return False. Fixing an issue with the DBF set exporting test The DBF set export test needed a bit enabled (probably the writeable bit?) before the test would match the regression output. Updating dbf interface Updating the int/float class/type checking in the dbf format file. This allows for python2 and python3 compatibility. Tweaking dbfpy to work with python3 Altering a couple of imports. Updating dbf tests for binary data compatibility Making regression strings binary and improving debug messages for dbf assertion errors. Improving file handling for python 2 and 3 Updating DBF file handling for both python 2 and 3 in the _dbf interface. Adding a (seemingly) functional dbfpy for python3 I’ve made dbfpy python3 compatible! Tests appear to pass. A significant change was made to the format detection test whereby I made the input string a binary (bytes) string. If the string is not a bytes string by the time we try to detect the format, we try to decode the string as utf-8 (which admittedly might not be the safest thing to do) and try to decode anyways. Updating imports for tablib dbf interface Now importing python2 or python3 versions as appropriate. Updating dbf package references in compat.py Cleaning up debugging print statements Updating stream handling in dbf interface Factoring the open() call out of the py3 conditional and removing the temp file before returning the stream value. Adding dbfpy3 init.py I had apparently missed the dbfpy3 init file when committing dbfpy3. Adding dbfpy and dbfpy3 to setup.py's package list Switching test order of formats Putting dbf format testing ahead of TSV. In some of my tests with numeric DBF files, I encountered an issue where the ASCII horizontal tab character (0x09) would appear in a numeric DBF. Because of the order of tabular format imports, though, format detection would recognize it as a TSV and not as a DBF. Adding my name to AUTHORS. Adding a DBF property to tab lib core Documentation includes examples on how to explicitly load a DBF straight from a file and how to load a DBF from a binary string. Also, how to write the binary data to a file. Adding DBF format notes to README Adding exclamation point to DBF section title Matching formatting of XLS section Updating setup.py to match current dev state Setup.py had been updated since I forked the tablib repo, so I’m updating setup.py to match its current structure while still maintaining DBF compatibility. Fixed callable collumn test the test was sending a list instead of a function CORE CONTRIBUTORS 🍰 @iurisilvio v0.10.0 WHEELS 3.3, 3.4 makefile for WHEELS v0.10.0 history ALL Separate py2 and py3 packages to avoid installation errors. Fix #151 Running travis and tox with python 3.4. Adding DBF support Adding the DBFpy python package The DBFpy package provides basic dbf support for python. Still need to write an interface format file for tablib. Adding DBF format and imports in compat.py Adding DBF format to formats.__init__ DBF format had not been committed to formats.__init__, so I’m adding it. Adding a dbf import test Adding at test to check whether a DBF can be created properly and compare it against a regression binary string. Adding an import_set test (and renaming another) Adding an import_set test that conforms with the other import_set tests for other formats. I’m also adding an export_set function. Fixing system site-packages import Importing dbfpy from tab lib.packages instead of system site packages. Fixing a syntaxError in dbfpy/dbfnew.py Fixing an issue with ending field definitions DBFPY, when writing a DBF, terminates the field definitions with a newline character. When importing a DBF from a stream, however, DBFPY was looking only for the \x0D character rather than the newline. Now we consider both cases. Adding a test for dbf format detection Adding DBF filetype detection tests Adding tests for YAML, JSON, TSV, CSV using the DBF detection function. Handling extra exceptions in dbf detection Adding exception handling for struct.error, an exception that DBFPY raises when trying to unpack a TSV table. Since it’s not a DBF file, we know it’s not a DBF and return False. Fixing an issue with the DBF set exporting test The DBF set export test needed a bit enabled (probably the writeable bit?) before the test would match the regression output. Updating dbf interface Updating the int/float class/type checking in the dbf format file. This allows for python2 and python3 compatibility. Tweaking dbfpy to work with python3 Altering a couple of imports. Updating dbf tests for binary data compatibility Making regression strings binary and improving debug messages for dbf assertion errors. Improving file handling for python 2 and 3 Updating DBF file handling for both python 2 and 3 in the _dbf interface. Adding a (seemingly) functional dbfpy for python3 I’ve made dbfpy python3 compatible! Tests appear to pass. A significant change was made to the format detection test whereby I made the input string a binary (bytes) string. If the string is not a bytes string by the time we try to detect the format, we try to decode the string as utf-8 (which admittedly might not be the safest thing to do) and try to decode anyways. Updating imports for tablib dbf interface Now importing python2 or python3 versions as appropriate. Updating dbf package references in compat.py Cleaning up debugging print statements Updating stream handling in dbf interface Factoring the open() call out of the py3 conditional and removing the temp file before returning the stream value. Adding dbfpy3 init.py I had apparently missed the dbfpy3 init file when committing dbfpy3. Adding dbfpy and dbfpy3 to setup.py's package list Switching test order of formats Putting dbf format testing ahead of TSV. In some of my tests with numeric DBF files, I encountered an issue where the ASCII horizontal tab character (0x09) would appear in a numeric DBF. Because of the order of tabular format imports, though, format detection would recognize it as a TSV and not as a DBF. Adding my name to AUTHORS. Adding a DBF property to tab lib core Documentation includes examples on how to explicitly load a DBF straight from a file and how to load a DBF from a binary string. Also, how to write the binary data to a file. Adding DBF format notes to README Adding exclamation point to DBF section title Matching formatting of XLS section Updating setup.py to match current dev state Setup.py had been updated since I forked the tablib repo, so I’m updating setup.py to match its current structure while still maintaining DBF compatibility. Fixed callable collumn test the test was sending a list instead of a function CORE CONTRIBUTORS 🍰 @iurisilvio v0.10.0 WHEELS 3.3, 3.4 makefile for WHEELS v0.10.0 history ALL Separate py2 and py3 packages to avoid installation errors. Fix #151 Running travis and tox with python 3.4.
467 lines
14 KiB
Python
467 lines
14 KiB
Python
"""DBF fields definitions.
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TODO:
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- make memos work
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"""
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"""History (most recent first):
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26-may-2009 [als] DbfNumericFieldDef.decodeValue: strip zero bytes
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05-feb-2009 [als] DbfDateFieldDef.encodeValue: empty arg produces empty date
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16-sep-2008 [als] DbfNumericFieldDef decoding looks for decimal point
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in the value to select float or integer return type
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13-mar-2008 [als] check field name length in constructor
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11-feb-2007 [als] handle value conversion errors
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10-feb-2007 [als] DbfFieldDef: added .rawFromRecord()
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01-dec-2006 [als] Timestamp columns use None for empty values
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31-oct-2006 [als] support field types 'F' (float), 'I' (integer)
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and 'Y' (currency);
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automate export and registration of field classes
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04-jul-2006 [als] added export declaration
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10-mar-2006 [als] decode empty values for Date and Logical fields;
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show field name in errors
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10-mar-2006 [als] fix Numeric value decoding: according to spec,
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value always is string representation of the number;
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ensure that encoded Numeric value fits into the field
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20-dec-2005 [yc] use field names in upper case
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15-dec-2005 [yc] field definitions moved from `dbf`.
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"""
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__version__ = "$Revision: 1.14 $"[11:-2]
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__date__ = "$Date: 2009/05/26 05:16:51 $"[7:-2]
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__all__ = ["lookupFor",] # field classes added at the end of the module
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import datetime
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import struct
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import sys
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from . import utils
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## abstract definitions
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class DbfFieldDef(object):
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"""Abstract field definition.
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Child classes must override ``type`` class attribute to provide datatype
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infromation of the field definition. For more info about types visit
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`http://www.clicketyclick.dk/databases/xbase/format/data_types.html`
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Also child classes must override ``defaultValue`` field to provide
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default value for the field value.
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If child class has fixed length ``length`` class attribute must be
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overriden and set to the valid value. None value means, that field
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isn't of fixed length.
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Note: ``name`` field must not be changed after instantiation.
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"""
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__slots__ = ("name", "length", "decimalCount",
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"start", "end", "ignoreErrors")
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# length of the field, None in case of variable-length field,
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# or a number if this field is a fixed-length field
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length = None
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# field type. for more information about fields types visit
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# `http://www.clicketyclick.dk/databases/xbase/format/data_types.html`
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# must be overriden in child classes
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typeCode = None
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# default value for the field. this field must be
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# overriden in child classes
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defaultValue = None
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def __init__(self, name, length=None, decimalCount=None,
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start=None, stop=None, ignoreErrors=False,
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):
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"""Initialize instance."""
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assert self.typeCode is not None, "Type code must be overriden"
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assert self.defaultValue is not None, "Default value must be overriden"
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## fix arguments
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if len(name) >10:
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raise ValueError("Field name \"%s\" is too long" % name)
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name = str(name).upper()
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if self.__class__.length is None:
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if length is None:
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raise ValueError("[%s] Length isn't specified" % name)
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length = int(length)
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if length <= 0:
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raise ValueError("[%s] Length must be a positive integer"
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% name)
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else:
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length = self.length
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if decimalCount is None:
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decimalCount = 0
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## set fields
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self.name = name
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# FIXME: validate length according to the specification at
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# http://www.clicketyclick.dk/databases/xbase/format/data_types.html
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self.length = length
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self.decimalCount = decimalCount
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self.ignoreErrors = ignoreErrors
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self.start = start
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self.end = stop
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def __cmp__(self, other):
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return cmp(self.name, str(other).upper())
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def __hash__(self):
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return hash(self.name)
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def fromString(cls, string, start, ignoreErrors=False):
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"""Decode dbf field definition from the string data.
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Arguments:
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string:
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a string, dbf definition is decoded from. length of
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the string must be 32 bytes.
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start:
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position in the database file.
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ignoreErrors:
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initial error processing mode for the new field (boolean)
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"""
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assert len(string) == 32
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_length = ord(string[16])
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return cls(utils.unzfill(string)[:11], _length, ord(string[17]),
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start, start + _length, ignoreErrors=ignoreErrors)
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fromString = classmethod(fromString)
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def toString(self):
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"""Return encoded field definition.
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Return:
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Return value is a string object containing encoded
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definition of this field.
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"""
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if sys.version_info < (2, 4):
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# earlier versions did not support padding character
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_name = self.name[:11] + "\0" * (11 - len(self.name))
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else:
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_name = self.name.ljust(11, '\0')
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return (
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_name +
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self.typeCode +
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#data address
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chr(0) * 4 +
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chr(self.length) +
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chr(self.decimalCount) +
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chr(0) * 14
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)
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def __repr__(self):
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return "%-10s %1s %3d %3d" % self.fieldInfo()
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def fieldInfo(self):
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"""Return field information.
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Return:
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Return value is a (name, type, length, decimals) tuple.
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"""
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return (self.name, self.typeCode, self.length, self.decimalCount)
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def rawFromRecord(self, record):
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"""Return a "raw" field value from the record string."""
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return record[self.start:self.end]
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def decodeFromRecord(self, record):
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"""Return decoded field value from the record string."""
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try:
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return self.decodeValue(self.rawFromRecord(record))
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except:
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if self.ignoreErrors:
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return utils.INVALID_VALUE
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else:
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raise
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def decodeValue(self, value):
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"""Return decoded value from string value.
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This method shouldn't be used publicly. It's called from the
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`decodeFromRecord` method.
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This is an abstract method and it must be overridden in child classes.
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"""
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raise NotImplementedError
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def encodeValue(self, value):
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"""Return str object containing encoded field value.
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This is an abstract method and it must be overriden in child classes.
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"""
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raise NotImplementedError
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## real classes
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class DbfCharacterFieldDef(DbfFieldDef):
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"""Definition of the character field."""
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typeCode = "C"
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defaultValue = ""
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def decodeValue(self, value):
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"""Return string object.
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Return value is a ``value`` argument with stripped right spaces.
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"""
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return value.rstrip(" ")
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def encodeValue(self, value):
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"""Return raw data string encoded from a ``value``."""
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return str(value)[:self.length].ljust(self.length)
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class DbfNumericFieldDef(DbfFieldDef):
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"""Definition of the numeric field."""
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typeCode = "N"
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# XXX: now I'm not sure it was a good idea to make a class field
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# `defaultValue` instead of a generic method as it was implemented
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# previously -- it's ok with all types except number, cuz
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# if self.decimalCount is 0, we should return 0 and 0.0 otherwise.
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defaultValue = 0
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def decodeValue(self, value):
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"""Return a number decoded from ``value``.
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If decimals is zero, value will be decoded as an integer;
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or as a float otherwise.
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Return:
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Return value is a int (long) or float instance.
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"""
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value = value.strip(" \0")
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if "." in value:
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# a float (has decimal separator)
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return float(value)
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elif value:
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# must be an integer
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return int(value)
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else:
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return 0
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def encodeValue(self, value):
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"""Return string containing encoded ``value``."""
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_rv = ("%*.*f" % (self.length, self.decimalCount, value))
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if len(_rv) > self.length:
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_ppos = _rv.find(".")
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if 0 <= _ppos <= self.length:
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_rv = _rv[:self.length]
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else:
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raise ValueError("[%s] Numeric overflow: %s (field width: %i)"
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% (self.name, _rv, self.length))
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return _rv
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class DbfFloatFieldDef(DbfNumericFieldDef):
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"""Definition of the float field - same as numeric."""
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typeCode = "F"
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class DbfIntegerFieldDef(DbfFieldDef):
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"""Definition of the integer field."""
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typeCode = "I"
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length = 4
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defaultValue = 0
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def decodeValue(self, value):
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"""Return an integer number decoded from ``value``."""
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return struct.unpack("<i", value)[0]
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def encodeValue(self, value):
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"""Return string containing encoded ``value``."""
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return struct.pack("<i", int(value))
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class DbfCurrencyFieldDef(DbfFieldDef):
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"""Definition of the currency field."""
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typeCode = "Y"
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length = 8
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defaultValue = 0.0
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def decodeValue(self, value):
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"""Return float number decoded from ``value``."""
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return struct.unpack("<q", value)[0] / 10000.
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def encodeValue(self, value):
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"""Return string containing encoded ``value``."""
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return struct.pack("<q", round(value * 10000))
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class DbfLogicalFieldDef(DbfFieldDef):
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"""Definition of the logical field."""
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typeCode = "L"
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defaultValue = -1
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length = 1
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def decodeValue(self, value):
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"""Return True, False or -1 decoded from ``value``."""
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# Note: value always is 1-char string
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if value == "?":
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return -1
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if value in "NnFf ":
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return False
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if value in "YyTt":
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return True
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raise ValueError("[%s] Invalid logical value %r" % (self.name, value))
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def encodeValue(self, value):
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"""Return a character from the "TF?" set.
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Return:
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Return value is "T" if ``value`` is True
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"?" if value is -1 or False otherwise.
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"""
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if value is True:
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return "T"
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if value == -1:
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return "?"
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return "F"
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class DbfMemoFieldDef(DbfFieldDef):
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"""Definition of the memo field.
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Note: memos aren't currenly completely supported.
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"""
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typeCode = "M"
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defaultValue = " " * 10
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length = 10
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def decodeValue(self, value):
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"""Return int .dbt block number decoded from the string object."""
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#return int(value)
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raise NotImplementedError
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def encodeValue(self, value):
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"""Return raw data string encoded from a ``value``.
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Note: this is an internal method.
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"""
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#return str(value)[:self.length].ljust(self.length)
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raise NotImplementedError
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class DbfDateFieldDef(DbfFieldDef):
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"""Definition of the date field."""
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typeCode = "D"
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defaultValue = utils.classproperty(lambda cls: datetime.date.today())
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# "yyyymmdd" gives us 8 characters
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length = 8
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def decodeValue(self, value):
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"""Return a ``datetime.date`` instance decoded from ``value``."""
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if value.strip():
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return utils.getDate(value)
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else:
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return None
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def encodeValue(self, value):
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"""Return a string-encoded value.
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``value`` argument should be a value suitable for the
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`utils.getDate` call.
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Return:
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Return value is a string in format "yyyymmdd".
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"""
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if value:
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return utils.getDate(value).strftime("%Y%m%d")
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else:
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return " " * self.length
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class DbfDateTimeFieldDef(DbfFieldDef):
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"""Definition of the timestamp field."""
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# a difference between JDN (Julian Day Number)
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# and GDN (Gregorian Day Number). note, that GDN < JDN
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JDN_GDN_DIFF = 1721425
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typeCode = "T"
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defaultValue = utils.classproperty(lambda cls: datetime.datetime.now())
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# two 32-bits integers representing JDN and amount of
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# milliseconds respectively gives us 8 bytes.
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# note, that values must be encoded in LE byteorder.
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length = 8
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def decodeValue(self, value):
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"""Return a `datetime.datetime` instance."""
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assert len(value) == self.length
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# LE byteorder
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_jdn, _msecs = struct.unpack("<2I", value)
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if _jdn >= 1:
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_rv = datetime.datetime.fromordinal(_jdn - self.JDN_GDN_DIFF)
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_rv += datetime.timedelta(0, _msecs / 1000.0)
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else:
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# empty date
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_rv = None
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return _rv
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def encodeValue(self, value):
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"""Return a string-encoded ``value``."""
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if value:
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value = utils.getDateTime(value)
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# LE byteorder
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_rv = struct.pack("<2I", value.toordinal() + self.JDN_GDN_DIFF,
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(value.hour * 3600 + value.minute * 60 + value.second) * 1000)
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else:
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_rv = "\0" * self.length
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assert len(_rv) == self.length
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return _rv
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|
_fieldsRegistry = {}
|
|
|
|
def registerField(fieldCls):
|
|
"""Register field definition class.
|
|
|
|
``fieldCls`` should be subclass of the `DbfFieldDef`.
|
|
|
|
Use `lookupFor` to retrieve field definition class
|
|
by the type code.
|
|
|
|
"""
|
|
assert fieldCls.typeCode is not None, "Type code isn't defined"
|
|
# XXX: use fieldCls.typeCode.upper()? in case of any decign
|
|
# don't forget to look to the same comment in ``lookupFor`` method
|
|
_fieldsRegistry[fieldCls.typeCode] = fieldCls
|
|
|
|
|
|
def lookupFor(typeCode):
|
|
"""Return field definition class for the given type code.
|
|
|
|
``typeCode`` must be a single character. That type should be
|
|
previously registered.
|
|
|
|
Use `registerField` to register new field class.
|
|
|
|
Return:
|
|
Return value is a subclass of the `DbfFieldDef`.
|
|
|
|
"""
|
|
# XXX: use typeCode.upper()? in case of any decign don't
|
|
# forget to look to the same comment in ``registerField``
|
|
return _fieldsRegistry[typeCode]
|
|
|
|
## register generic types
|
|
|
|
for (_name, _val) in globals().items():
|
|
if isinstance(_val, type) and issubclass(_val, DbfFieldDef) \
|
|
and (_name != "DbfFieldDef"):
|
|
__all__.append(_name)
|
|
registerField(_val)
|
|
del _name, _val
|
|
|
|
# vim: et sts=4 sw=4 :
|