Lib/bsddb/dbtables.py

#-----------------------------------------------------------------------
#
# Copyright (C) 2000, 2001 by Autonomous Zone Industries
# Copyright (C) 2002 Gregory P. Smith
#
# License:      This is free software.  You may use this software for any
#               purpose including modification/redistribution, so long as
#               this header remains intact and that you do not claim any
#               rights of ownership or authorship of this software.  This
#               software has been tested, but no warranty is expressed or
#               implied.
#
#   --  Gregory P. Smith <greg@electricrain.com>

# This provides a simple database table interface built on top of
# the Python BerkeleyDB 3 interface.
#
_cvsid = '$Id$'

import string
import sys
try:
    import cPickle
    pickle = cPickle
except ImportError:
    import pickle
import whrandom
import xdrlib
import re
import copy

from bsddb.db import *


class TableDBError(StandardError): pass
class TableAlreadyExists(TableDBError): pass


class Cond:
    """This condition matches everything"""
    def __call__(self, s):
        return 1

class ExactCond(Cond):
    """Acts as an exact match condition function"""
    def __init__(self, strtomatch):
        self.strtomatch = strtomatch
    def __call__(self, s):
        return s == self.strtomatch

class PrefixCond(Cond):
    """Acts as a condition function for matching a string prefix"""
    def __init__(self, prefix):
        self.prefix = prefix
    def __call__(self, s):
        return s[:len(self.prefix)] == self.prefix

class PostfixCond(Cond):
    """Acts as a condition function for matching a string postfix"""
    def __init__(self, postfix):
        self.postfix = postfix
    def __call__(self, s):
        return s[-len(self.postfix):] == self.postfix

class LikeCond(Cond):
    """
    Acts as a function that will match using an SQL 'LIKE' style
    string.  Case insensitive and % signs are wild cards.
    This isn't perfect but it should work for the simple common cases.
    """
    def __init__(self, likestr, re_flags=re.IGNORECASE):
        # escape python re characters
        chars_to_escape = '.*+()[]?'
        for char in chars_to_escape :
            likestr = string.replace(likestr, char, '\\'+char)
        # convert %s to wildcards
        self.likestr = string.replace(likestr, '%', '.*')
        self.re = re.compile('^'+self.likestr+'$', re_flags)
    def __call__(self, s):
        return self.re.match(s)

#
# keys used to store database metadata
#
_table_names_key = '__TABLE_NAMES__'  # list of the tables in this db
_columns = '._COLUMNS__'  # table_name+this key contains a list of columns
def _columns_key(table) : return table + _columns

#
# these keys are found within table sub databases
#
_data =  '._DATA_.'  # this+column+this+rowid key contains table data
_rowid = '._ROWID_.' # this+rowid+this key contains a unique entry for each
                     # row in the table.  (no data is stored)
_rowid_str_len = 8   # length in bytes of the unique rowid strings
def _data_key(table, col, rowid) : return table + _data + col + _data + rowid
def _search_col_data_key(table, col) : return table + _data + col + _data
def _search_all_data_key(table) : return table + _data
def _rowid_key(table, rowid) : return table + _rowid + rowid + _rowid
def _search_rowid_key(table) : return table + _rowid

def contains_metastrings(s) :
    """Verify that the given string does not contain any
    metadata strings that might interfere with dbtables database operation.
    """
    if string.find(s, _table_names_key) >= 0 or \
       string.find(s, _columns) >= 0 or \
       string.find(s, _data) >= 0 or \
       string.find(s, _rowid) >= 0 :
        return 1
    else :
        return 0


class bsdTableDB :
    def __init__(self, filename, dbhome, create=0, truncate=0, mode=0600, recover=0, dbflags=0) :
        """bsdTableDB.open(filename, dbhome, create=0, truncate=0, mode=0600)
        Open database name in the dbhome BerkeleyDB directory.
        Use keyword arguments when calling this constructor.
        """
        myflags = DB_THREAD
        if create :
            myflags = myflags | DB_CREATE
        flagsforenv = DB_INIT_MPOOL | DB_INIT_LOCK | DB_INIT_LOG | DB_INIT_TXN | dbflags
        if recover :
            flagsforenv = flagsforenv | DB_RECOVER
        self.env = DBEnv()
        self.env.set_lk_detect(DB_LOCK_DEFAULT)  # enable auto deadlock avoidance
        self.env.open(dbhome, myflags | flagsforenv)
        if truncate :
            myflags = myflags | DB_TRUNCATE
        self.db = DB(self.env)
        self.db.set_flags(DB_DUP)  # allow duplicate entries [warning: be careful w/ metadata]
        self.db.open(filename, DB_BTREE, myflags, mode)

        self.dbfilename = filename

        # Initialize the table names list if this is a new database
        if not self.db.has_key(_table_names_key) :
            self.db.put(_table_names_key, pickle.dumps([], 1))

        # TODO verify more of the database's metadata?

        self.__tablecolumns = {}

    def __del__(self):
        self.close()

    def close(self):
        if self.db is not None:
            self.db.close()
            self.db = None
        if self.env is not None:
            self.env.close()
            self.env = None

    def checkpoint(self, mins=0):
        try:
            self.env.txn_checkpoint(mins)
        except DBIncompleteError:
            pass

    def sync(self):
        try:
            self.db.sync()
        except DBIncompleteError:
            pass

    def _db_print(self) :
        """Print the database to stdout for debugging"""
        print "******** Printing raw database for debugging ********"
        cur = self.db.cursor()
        try:
            key, data = cur.first()
            while 1 :
                print `{key: data}`
                next = cur.next()
                if next:
                    key, data = next
                else:
                    cur.close()
                    return
        except DBNotFoundError:
            cur.close()


    def CreateTable(self, table, columns) :
        """CreateTable(table, columns) - Create a new table in the database
        raises TableDBError if it already exists or for other DB errors.
        """
        assert type(columns) == type([])
        txn = None
        try:
            # checking sanity of the table and column names here on
            # table creation will prevent problems elsewhere.
            if contains_metastrings(table) :
                raise ValueError, "bad table name: contains reserved metastrings"
            for column in columns :
                if contains_metastrings(column) :
                    raise ValueError, "bad column name: contains reserved metastrings"

            columnlist_key = _columns_key(table)
            if self.db.has_key(columnlist_key) :
                raise TableAlreadyExists, "table already exists"

            txn = self.env.txn_begin()
            # store the table's column info
            self.db.put(columnlist_key, pickle.dumps(columns, 1), txn=txn)

            # add the table name to the tablelist
            tablelist = pickle.loads(self.db.get(_table_names_key, txn=txn, flags=DB_RMW))
            tablelist.append(table)
            self.db.delete(_table_names_key, txn)  # delete 1st, incase we opened with DB_DUP
            self.db.put(_table_names_key, pickle.dumps(tablelist, 1), txn=txn)

            txn.commit()
            txn = None

        except DBError, dberror:
            if txn :
                txn.abort()
            raise TableDBError, dberror[1]


    def ListTableColumns(self, table):
        """Return a list of columns in the given table.  [] if the table doesn't exist.
        """
        assert type(table) == type('')
        if contains_metastrings(table) :
            raise ValueError, "bad table name: contains reserved metastrings"

        columnlist_key = _columns_key(table)
        if not self.db.has_key(columnlist_key):
            return []
        pickledcolumnlist = self.db.get(columnlist_key)
        if pickledcolumnlist:
            return pickle.loads(pickledcolumnlist)
        else:
            return []

    def ListTables(self):
        """Return a list of tables in this database."""
        pickledtablelist = self.db.get(_table_names_key)
        if pickledtablelist:
            return pickle.loads(pickledtablelist)
        else:
            return []

    def CreateOrExtendTable(self, table, columns):
        """CreateOrExtendTable(table, columns) - Create a new table in the database.
        If a table of this name already exists, extend it to have any
        additional columns present in the given list as well as
        all of its current columns.
        """
        assert type(columns) == type([])
        try:
            self.CreateTable(table, columns)
        except TableAlreadyExists:
            # the table already existed, add any new columns
            txn = None
            try:
                columnlist_key = _columns_key(table)
                txn = self.env.txn_begin()

                # load the current column list
                oldcolumnlist = pickle.loads(self.db.get(columnlist_key, txn=txn, flags=DB_RMW))
                # create a hash table for fast lookups of column names in the loop below
                oldcolumnhash = {}
                for c in oldcolumnlist:
                    oldcolumnhash[c] = c

                # create a new column list containing both the old and new column names
                newcolumnlist = copy.copy(oldcolumnlist)
                for c in columns:
                    if not oldcolumnhash.has_key(c):
                        newcolumnlist.append(c)

                # store the table's new extended column list
                if newcolumnlist != oldcolumnlist :
                    # delete the old one first since we opened with DB_DUP
                    self.db.delete(columnlist_key, txn)
                    self.db.put(columnlist_key, pickle.dumps(newcolumnlist, 1), txn=txn)

                txn.commit()
                txn = None

                self.__load_column_info(table)
            except DBError, dberror:
                if txn:
                    txn.abort()
                raise TableDBError, dberror[1]


    def __load_column_info(self, table) :
        """initialize the self.__tablecolumns dict"""
        # check the column names
        try:
            tcolpickles = self.db.get(_columns_key(table))
        except DBNotFoundError:
            raise TableDBError, "unknown table: " + `table`
        if not tcolpickles:
            raise TableDBError, "unknown table: " + `table`
        self.__tablecolumns[table] = pickle.loads(tcolpickles)

    def __new_rowid(self, table, txn=None) :
        """Create a new unique row identifier"""
        unique = 0
        while not unique :
            # Generate a random 64-bit row ID string
            # (note: this code has <64 bits of randomness
            # but it's plenty for our database id needs!)
            p = xdrlib.Packer()
            p.pack_int(int(whrandom.random()*2147483647))
            p.pack_int(int(whrandom.random()*2147483647))
            newid = p.get_buffer()

            # Guarantee uniqueness by adding this key to the database
            try:
                self.db.put(_rowid_key(table, newid), None, txn=txn, flags=DB_NOOVERWRITE)
            except DBKeyExistsError:
                pass
            else:
                unique = 1

        return newid


    def Insert(self, table, rowdict) :
        """Insert(table, datadict) - Insert a new row into the table
        using the keys+values from rowdict as the column values.
        """
        txn = None
        try:
            if not self.db.has_key(_columns_key(table)) :
                raise TableDBError, "unknown table"

            # check the validity of each column name
            if not self.__tablecolumns.has_key(table) :
                self.__load_column_info(table)
            for column in rowdict.keys() :
                if not self.__tablecolumns[table].count(column) :
                    raise TableDBError, "unknown column: "+`column`

            # get a unique row identifier for this row
            rowid = self.__new_rowid(table)

            txn = self.env.txn_begin()

            # insert the row values into the table database
            for column, dataitem in rowdict.items() :
                # store the value
                self.db.put(_data_key(table, column, rowid), dataitem, txn=txn)

            txn.commit()
            txn = None

        except DBError, dberror:
            if txn :
                txn.abort()
                self.db.delete(_rowid_key(table, rowid))
            raise TableDBError, dberror[1]


    def Modify(self, table, conditions={}, mappings={}) :
        """Modify(table, conditions) - Modify in rows matching 'conditions'
        using mapping functions in 'mappings'
        * conditions is a dictionary keyed on column names
        containing condition functions expecting the data string as an
        argument and returning a boolean.
        * mappings is a dictionary keyed on column names containint condition
        functions expecting the data string as an argument and returning the
        new string for that column.
        """
        try:
            matching_rowids = self.__Select(table, [], conditions)

            # modify only requested columns
            columns = mappings.keys()
            for rowid in matching_rowids.keys() :
                txn = None
                try:
                    for column in columns :
                        txn = self.env.txn_begin()
                        # modify the requested column
                        try:
                            dataitem = self.db.get(_data_key(table, column, rowid), txn)
                            self.db.delete(_data_key(table, column, rowid), txn)
                        except DBNotFoundError:
                            dataitem = None # XXXXXXX row key somehow didn't exist, assume no error
                        dataitem = mappings[column](dataitem)
                        if dataitem <> None:
                            self.db.put(_data_key(table, column, rowid), dataitem, txn=txn)
                        txn.commit()
                        txn = None

                except DBError, dberror:
                    if txn :
                        txn.abort()
                    raise

        except DBError, dberror:
            raise TableDBError, dberror[1]

    def Delete(self, table, conditions={}) :
        """Delete(table, conditions) - Delete items matching the given
        conditions from the table.
        * conditions is a dictionary keyed on column names
        containing condition functions expecting the data string as an
        argument and returning a boolean.
        """
        try:
            matching_rowids = self.__Select(table, [], conditions)

            # delete row data from all columns
            columns = self.__tablecolumns[table]
            for rowid in matching_rowids.keys() :
                txn = None
                try:
                    txn = self.env.txn_begin()
                    for column in columns :
                        # delete the data key
                        try:
                            self.db.delete(_data_key(table, column, rowid), txn)
                        except DBNotFoundError:
                            pass # XXXXXXX column may not exist, assume no error

                    try:
                        self.db.delete(_rowid_key(table, rowid), txn)
                    except DBNotFoundError:
                        pass # XXXXXXX row key somehow didn't exist, assume no error
                    txn.commit()
                    txn = None
                except DBError, dberror:
                    if txn :
                        txn.abort()
                    raise

        except DBError, dberror:
            raise TableDBError, dberror[1]


    def Select(self, table, columns, conditions={}) :
        """Select(table, conditions) - retrieve specific row data
        Returns a list of row column->value mapping dictionaries.
        * columns is a list of which column data to return.  If
          columns is None, all columns will be returned.
        * conditions is a dictionary keyed on column names
          containing callable conditions expecting the data string as an
          argument and returning a boolean.
        """
        try:
            if not self.__tablecolumns.has_key(table) :
                self.__load_column_info(table)
            if columns is None :
                columns = self.__tablecolumns[table]
            matching_rowids = self.__Select(table, columns, conditions)
        except DBError, dberror:
            raise TableDBError, dberror[1]

        # return the matches as a list of dictionaries
        return matching_rowids.values()


    def __Select(self, table, columns, conditions) :
        """__Select() - Used to implement Select and Delete (above)
        Returns a dictionary keyed on rowids containing dicts
        holding the row data for columns listed in the columns param
        that match the given conditions.
        * conditions is a dictionary keyed on column names
        containing callable conditions expecting the data string as an
        argument and returning a boolean.
        """
        # check the validity of each column name
        if not self.__tablecolumns.has_key(table) :
            self.__load_column_info(table)
        if columns is None :
            columns = self.tablecolumns[table]
        for column in (columns + conditions.keys()) :
            if not self.__tablecolumns[table].count(column) :
                raise TableDBError, "unknown column: "+`column`

        # keyed on rows that match so far, containings dicts keyed on
        # column names containing the data for that row and column.
        matching_rowids = {}

        rejected_rowids = {} # keys are rowids that do not match

        # attempt to sort the conditions in such a way as to minimize full column lookups
        def cmp_conditions(atuple, btuple):
            a = atuple[1]
            b = btuple[1]
            if type(a) == type(b) :
                if isinstance(a, PrefixCond) and isinstance(b, PrefixCond):
                    return cmp(len(b.prefix), len(a.prefix))  # longest prefix first
                if isinstance(a, LikeCond) and isinstance(b, LikeCond):
                    return cmp(len(b.likestr), len(a.likestr))  # longest likestr first
                return 0
            if isinstance(a, ExactCond):
                return -1
            if isinstance(b, ExactCond):
                return 1
            if isinstance(a, PrefixCond):
                return -1
            if isinstance(b, PrefixCond):
                return 1
            # leave all unknown condition callables alone as equals
            return 0

        conditionlist = conditions.items()
        conditionlist.sort(cmp_conditions)

        # Apply conditions to column data to find what we want
        cur = self.db.cursor()
        column_num = -1
        for column, condition in conditionlist :
            column_num = column_num + 1
            searchkey = _search_col_data_key(table, column)
            # speedup: don't linear search columns within loop
            if column in columns :
                savethiscolumndata = 1  # save the data for return
            else :
                savethiscolumndata = 0  # data only used for selection

            try:
                key, data = cur.set_range(searchkey)
                while key[:len(searchkey)] == searchkey :
                    # extract the rowid from the key
                    rowid = key[-_rowid_str_len:]

                    if not rejected_rowids.has_key(rowid) :
                        # if no condition was specified or the condition
                        # succeeds, add row to our match list.
                        if not condition or condition(data) :
                            if not matching_rowids.has_key(rowid) :
                                matching_rowids[rowid] = {}
                            if savethiscolumndata :
                                matching_rowids[rowid][column] = data
                        else :
                            if matching_rowids.has_key(rowid) :
                                del matching_rowids[rowid]
                            rejected_rowids[rowid] = rowid

                    key, data = cur.next()

            except DBError, dberror:
                if dberror[0] != DB_NOTFOUND :
                    raise
                continue

        cur.close()

        # we're done selecting rows, garbage collect the reject list
        del rejected_rowids

        # extract any remaining desired column data from the
        # database for the matching rows.
        if len(columns) > 0 :
            for rowid, rowdata in matching_rowids.items() :
                for column in columns :
                    if rowdata.has_key(column) :
                        continue
                    try:
                        rowdata[column] = self.db.get(_data_key(table, column, rowid))
                    except DBError, dberror:
                        if dberror[0] != DB_NOTFOUND :
                            raise
                        rowdata[column] = None

        # return the matches
        return matching_rowids


    def Drop(self, table) :
        """Remove an entire table from the database
        """
        txn = None
        try:
            txn = self.env.txn_begin()

            # delete the column list
            self.db.delete(_columns_key(table), txn)

            cur = self.db.cursor(txn)

            # delete all keys containing this tables column and row info
            table_key = _search_all_data_key(table)
            while 1 :
                try:
                    key, data = cur.set_range(table_key)
                except DBNotFoundError:
                    break
                # only delete items in this table
                if key[:len(table_key)] != table_key :
                    break
                cur.delete()

            # delete all rowids used by this table
            table_key = _search_rowid_key(table)
            while 1 :
                try:
                    key, data = cur.set_range(table_key)
                except DBNotFoundError:
                    break
                # only delete items in this table
                if key[:len(table_key)] != table_key :
                    break
                cur.delete()

            cur.close()

            # delete the tablename from the table name list
            tablelist = pickle.loads(self.db.get(_table_names_key, txn=txn, flags=DB_RMW))
            try:
                tablelist.remove(table)
            except ValueError:
                pass  # hmm, it wasn't there, oh well, that's what we want.
            self.db.delete(_table_names_key, txn)  # delete 1st, incase we opened with DB_DUP
            self.db.put(_table_names_key, pickle.dumps(tablelist, 1), txn=txn)

            txn.commit()
            txn = None

            if self.__tablecolumns.has_key(table) :
                del self.__tablecolumns[table]

        except DBError, dberror:
            if txn :
                txn.abort()
            raise TableDBError, dberror[1]