/[thuban]/branches/WIP-pyshapelib-bramz/Thuban/Model/table.py
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revision 839 by bh, Tue May 6 15:54:18 2003 UTC revision 1371 by bh, Fri Jul 4 18:19:16 2003 UTC
# Line 2  Line 2 
2  # Authors:  # Authors:
3  # Bernhard Herzog <[email protected]>  # Bernhard Herzog <[email protected]>
4  # Jan-Oliver Wagner <[email protected]>  # Jan-Oliver Wagner <[email protected]>
5    # Frank Koormann <[email protected]>
6  #  #
7  # This program is free software under the GPL (>=v2)  # This program is free software under the GPL (>=v2)
8  # Read the file COPYING coming with Thuban for details.  # Read the file COPYING coming with Thuban for details.
# Line 12  Classes for handling tables of data. Line 13  Classes for handling tables of data.
13    
14  __version__ = "$Revision$"  __version__ = "$Revision$"
15    
16    import os
17  import inspect  import inspect
18  import warnings  import warnings
19    
20    from base import TitledObject
21    
22  import dbflib  import dbflib
23    
24  # the field types supported by a Table instance.  # the field types supported by a Table instance.
# Line 107  class DBFColumn: Line 111  class DBFColumn:
111          self.index = index          self.index = index
112    
113    
114  class DBFTable(OldTableInterfaceMixin):  class DBFTable(TitledObject, OldTableInterfaceMixin):
115    
116      """      """
117      Table interface for the data in a DBF file      Table interface for the data in a DBF file
# Line 129  class DBFTable(OldTableInterfaceMixin): Line 133  class DBFTable(OldTableInterfaceMixin):
133    
134      def __init__(self, filename):      def __init__(self, filename):
135          self.filename = filename          self.filename = filename
136    
137            # Omit the extension in the title as it's not really needed and
138            # it can be confusing because dbflib removes extensions and
139            # appends some variations of '.dbf' before it tries to open the
140            # file. So the title could be e.g. myshapefile.shp when the real
141            # filename is myshapefile.dbf
142            title = os.path.splitext(os.path.basename(self.filename))[0]
143            TitledObject.__init__(self, title)
144    
145          self.dbf = dbflib.DBFFile(filename)          self.dbf = dbflib.DBFFile(filename)
146    
147          # If true, self.dbf is open for writing.          # If true, self.dbf is open for writing.
# Line 218  class DBFTable(OldTableInterfaceMixin): Line 231  class DBFTable(OldTableInterfaceMixin):
231          values.sort()          values.sort()
232          return values          return values
233    
234        def Dependencies(self):
235            """Return an empty sequence. The DBFTable doesn't depend on anything"""
236            return ()
237    
238      # DBF specific interface parts.      # DBF specific interface parts.
239    
240        def Width(self, col):
241            """Return column width"""
242            return self.column_map[col].width
243    
244      def Destroy(self):      def Destroy(self):
245          self.dbf.close()          self.dbf.close()
246          self.dbf = None          self.dbf = None
# Line 246  class DBFTable(OldTableInterfaceMixin): Line 266  class DBFTable(OldTableInterfaceMixin):
266          self.dbf.write_record(record, values)          self.dbf.write_record(record, values)
267          self.dbf.commit()          self.dbf.commit()
268    
269        def FileName(self):
270            """Return the filename the DBFTable was instantiated with"""
271  # Temporary backwards compatibility          return self.filename
 Table = DBFTable  
   
272    
273    
274  class MemoryColumn:  class MemoryColumn:
# Line 260  class MemoryColumn: Line 278  class MemoryColumn:
278          self.type = type          self.type = type
279          self.index = index          self.index = index
280    
281  class MemoryTable(OldTableInterfaceMixin):  class MemoryTable(TitledObject, OldTableInterfaceMixin):
282    
283      """Very simple table implementation that operates on a list of tuples"""      """Very simple table implementation that operates on a list of tuples"""
284    
# Line 272  class MemoryTable(OldTableInterfaceMixin Line 290  class MemoryTable(OldTableInterfaceMixin
290          data -- List of tuples, one for each row of data          data -- List of tuples, one for each row of data
291          """          """
292          self.data = data          self.data = data
293            title = 'MemoryTable'
294            TitledObject.__init__(self, title)
295    
296          # Create the column information objects          # Create the column information objects
297          self.columns = []          self.columns = []
# Line 338  class MemoryTable(OldTableInterfaceMixin Line 358  class MemoryTable(OldTableInterfaceMixin
358          return min(values), max(values)          return min(values), max(values)
359    
360      def UniqueValues(self, col):      def UniqueValues(self, col):
361          """Return a sorted list of all unique values in the column col"""          """Return a sorted list of all unique values in the column col
362    
363            col can be either column index or name.
364            """
365          dict = {}          dict = {}
366    
367          for i in range(self.NumRows()):          for i in range(self.NumRows()):
# Line 349  class MemoryTable(OldTableInterfaceMixin Line 372  class MemoryTable(OldTableInterfaceMixin
372          values.sort()          values.sort()
373          return values          return values
374    
375        def Width(self, col):
376            """Return the maximum width of values in the column
377    
378            The return value is the the maximum length of string
379            representation of the values in the column (represented by index
380            or name).
381            """
382            max = 0
383    
384            type  = self.column_map[col].type
385            index = self.column_map[col].index
386            values = [row[index] for row in self.data]
387            if not values:
388                return None
389    
390            if type == FIELDTYPE_DOUBLE:
391                format = "%.12f"
392            elif type == FIELDTYPE_INT:
393                format = "%d"
394            else:
395                format = "%s"
396            for value in values:
397                l = len(format % value)
398                if l > max:
399                    max = l
400    
401            return max
402    
403        def Dependencies(self):
404            """Return an empty sequence. The MemoryTable doesn't depend on anything
405            """
406            return ()
407    
408      def write_record(self, record, values):      def write_record(self, record, values):
409          # TODO: Check for correct lenght and perhaps also          # TODO: Check for correct lenght and perhaps also
# Line 356  class MemoryTable(OldTableInterfaceMixin Line 411  class MemoryTable(OldTableInterfaceMixin
411          # TODO: Allow values to be a dictionary and write the single          # TODO: Allow values to be a dictionary and write the single
412          # fields that are specified.          # fields that are specified.
413          self.data[record] = values          self.data[record] = values
414    
415    
416    
417    def _find_dbf_column_names(names):
418        """Determine the column names to use in a DBF file
419    
420        DBF files have a length limit of 10 characters on the column names
421        so when writing an arbitrary Thuban table to a DBF file we may have
422        we may have to rename some of the columns making sure that they're
423        unique in the DBF file too.
424    
425        Names that are already short enough will stay the same. Longer names
426        will be truncated to 10 characters or if that isn't unique it will
427        be truncated more and filled up with digits.
428    
429        The parameter names should be a list of the column names. The return
430        value will be a dictionary mapping the names in the input list to
431        the names to use in the DBF file.
432        """
433        # mapping from the original names in table to the names in the DBF
434        # file
435        name_map = {}
436    
437        # First, we keep all names that are already short enough
438        for i in range(len(names) - 1, -1, -1):
439            if len(names[i]) <= 10:
440                name_map[names[i]] = names[i]
441                del names[i]
442    
443        # dict used as a set of all names already used as DBF column names
444        used = name_map.copy()
445    
446        # Go through all longer names. If the name truncated to 10
447        # characters is not used already, we use that. Otherwise we truncate
448        # it more and append numbers until we get an unused name
449        for name in names:
450            truncated = name[:10]
451            num = 0; numstr = ""
452            #print "truncated", truncated, num
453            while truncated in used and len(numstr) < 10:
454                num += 1
455                numstr = str(num)
456                truncated = name[:10 - len(numstr)] + numstr
457                #print "truncated", truncated, num
458            if len(numstr) >= 10:
459                # This case should never happen in practice as tables with
460                # 10^10 columns seem very unlikely :)
461                raise ValueError("Can't find unique dbf column name")
462    
463            name_map[name] = truncated
464            used[truncated] = 1
465    
466        return name_map
467    
468    def table_to_dbf(table, filename):
469        """Create the dbf file filename from the table"""
470        dbf = dbflib.create(filename)
471    
472        dbflib_fieldtypes = {FIELDTYPE_STRING: dbflib.FTString,
473                             FIELDTYPE_INT: dbflib.FTInteger,
474                             FIELDTYPE_DOUBLE: dbflib.FTDouble}
475    
476    
477        name_map = _find_dbf_column_names([col.name for col in table.Columns()])
478    
479        # Initialise the header. Distinguish between DBFTable and others.
480        for col in table.Columns():
481            width = table.Width(col.name)
482            if col.type == FIELDTYPE_DOUBLE:
483                prec = getattr(col, "prec", 12)
484            else:
485                prec = 0
486            dbf.add_field(name_map[col.name], dbflib_fieldtypes[col.type],
487                          width, prec)
488    
489        for i in range(table.NumRows()):
490            record = {}
491            for key, value in table.ReadRowAsDict(i).items():
492                record[name_map[key]] = value
493            dbf.write_record(i, record)
494        dbf.close()
495    
496    def table_to_csv(table, filename):
497        """Export table to csv file."""
498    
499        file = open(filename,"w")
500        columns = table.Columns()
501        if columns:
502            header = "#%s" % columns[0].name
503            for col in columns[1:]:
504                header = header + ",%s" % col.name
505            header = header + "\n"
506            file.write(header)
507    
508            for i in range(table.NumRows()):
509                record = table.ReadRowAsDict(i)
510                if len(record):
511                    line = "%s" % record[columns[0].name]
512                    for col in columns[1:]:
513                        line = line + ",%s" % record[col.name]
514                line = line + "\n"
515                file.write(line)
516        file.close()
517    
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