示例#1
0
文件: datasource.py 项目: dvorberg/t4
    def check_cast_handler(self, datatype_class, relation, column):
        """
        For each of the custom types register the built-in str class
        as the psycopg cast class so the SQL literal the pgsql backend
        returns can be parsed into an appropriate Python datastucture
        by our datatype and column class
        """        
        if datatype_class.sql_name:
            type_name = datatype_class.sql_name
        else:
            type_name = datatype_class.__name__
            
        if not _typeoid.has_key(type_name):
            # Run a query on the database that will return
            # the SQL type's oid. We only need the cursor's
            # description, really
            query = "SELECT %s FROM %s WHERE 0=1" % (column, relation)
            cursor = self.execute(query)
            type_oid = cursor.description[0][1]

            # register the string class with psycopg so it always 
            # returns a SQL literal as a Python string
            TYPE = psycopg.new_type((type_oid,),
                                    upper(type_name), str)
            psycopg.register_type(TYPE)

            # store the Oid in our dict 
            _typeoid[type_name] = type_oid            
示例#2
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    def check_cast_handler(self, datatype_class, relation, column):
        """
        For each of the custom types register the built-in str class
        as the psycopg cast class so the SQL literal the pgsql backend
        returns can be parsed into an appropriate Python datastucture
        by our datatype and column class
        """
        if datatype_class.sql_name:
            type_name = datatype_class.sql_name
        else:
            type_name = datatype_class.__name__

        if not _typeoid.has_key(type_name):
            # Run a query on the database that will return
            # the SQL type's oid. We only need the cursor's
            # description, really
            query = "SELECT %s FROM %s WHERE 0=1" % (column, relation)
            cursor = self.execute(query)
            type_oid = cursor.description[0][1]

            # register the string class with psycopg so it always
            # returns a SQL literal as a Python string
            TYPE = psycopg.new_type((type_oid, ), upper(type_name), str)
            psycopg.register_type(TYPE)

            # store the Oid in our dict
            _typeoid[type_name] = type_oid
示例#3
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def set_type_casts(self):
    "Make changes to psycopg default typecast list"
    if self.zdatetime:
        #use zope internal datetime routines
        ZDATETIME=new_type((1184,1114), "ZDATETIME", cast_DateTime_Better)
        ZDATE=new_type((1082,), "ZDATE", cast_Date_Better)
        ZTIME=new_type((1083,), "ZTIME", cast_Time)
        ZINTERVAL=new_type((1186,), "ZINTERVAL", cast_Interval)
        register_type(ZDATETIME)
        register_type(ZDATE)
        register_type(ZTIME)
        register_type(ZINTERVAL)
    else:
        #use the standard. WARN: order is important!
        register_type(DATETIME)
        register_type(DATE)
        register_type(TIME)
        register_type(INTERVAL)
    if getattr(self, "ustrings", 0) and self.encoding:
        USTRING = psycopg.new_type(psycopg.STRING.values, "USTRING",
        cast_String_factory(self.encoding))
        register_type(USTRING)
    else:
        register_type(STRING)
示例#4
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文件: base.py 项目: 0xmilk/appscale
                     style.SQL_FIELD('%s_id_seq' % table_name),
                     style.SQL_KEYWORD('RESTART'),
                     style.SQL_KEYWORD('WITH'),
                     style.SQL_FIELD('1')
                     )
                )
        return sql
    else:
        return []

        
# Register these custom typecasts, because Django expects dates/times to be
# in Python's native (standard-library) datetime/time format, whereas psycopg
# use mx.DateTime by default.
try:
    Database.register_type(Database.new_type((1082,), "DATE", util.typecast_date))
except AttributeError:
    raise Exception, "You appear to be using psycopg version 2. Set your DATABASE_ENGINE to 'postgresql_psycopg2' instead of 'postgresql'."
Database.register_type(Database.new_type((1083,1266), "TIME", util.typecast_time))
Database.register_type(Database.new_type((1114,1184), "TIMESTAMP", util.typecast_timestamp))
Database.register_type(Database.new_type((16,), "BOOLEAN", util.typecast_boolean))

OPERATOR_MAPPING = {
    'exact': '= %s',
    'iexact': 'ILIKE %s',
    'contains': 'LIKE %s',
    'icontains': 'ILIKE %s',
    'gt': '> %s',
    'gte': '>= %s',
    'lt': '< %s',
    'lte': '<= %s',
示例#5
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def typecast_string(s):
    """
    Cast all returned strings to unicode strings.
    """
    if not s and not isinstance(s, str):
        return s
    return smart_unicode(s)


# Register these custom typecasts, because Django expects dates/times to be
# in Python's native (standard-library) datetime/time format, whereas psycopg
# use mx.DateTime by default.
try:
    Database.register_type(
        Database.new_type((1082, ), "DATE", util.typecast_date))
except AttributeError:
    raise Exception(
        "You appear to be using psycopg version 2. Set your DATABASE_ENGINE to 'postgresql_psycopg2' instead of 'postgresql'."
    )
Database.register_type(
    Database.new_type((1083, 1266), "TIME", util.typecast_time))
Database.register_type(
    Database.new_type((1114, 1184), "TIMESTAMP", util.typecast_timestamp))
Database.register_type(
    Database.new_type((16, ), "BOOLEAN", util.typecast_boolean))
Database.register_type(
    Database.new_type((1700, ), "NUMERIC", util.typecast_decimal))
Database.register_type(
    Database.new_type(Database.types[1043].values, 'STRING', typecast_string))
示例#6
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                conn_string += " port=%s" % settings.DATABASE_PORT
            self.connection = Database.connect(conn_string, **self.options)
            self.connection.set_isolation_level(1) # make transactions transparent to all cursors
        cursor = self.connection.cursor()
        if set_tz:
            cursor.execute("SET TIME ZONE %s", [settings.TIME_ZONE])
        cursor.execute("SET client_encoding to 'UNICODE'")
        cursor = UnicodeCursorWrapper(cursor, 'utf-8')
        return cursor

def typecast_string(s):
    """
    Cast all returned strings to unicode strings.
    """
    if not s and not isinstance(s, str):
        return s
    return smart_unicode(s)

# Register these custom typecasts, because Django expects dates/times to be
# in Python's native (standard-library) datetime/time format, whereas psycopg
# use mx.DateTime by default.
try:
    Database.register_type(Database.new_type((1082,), "DATE", util.typecast_date))
except AttributeError:
    raise Exception("You appear to be using psycopg version 2. Set your DATABASE_ENGINE to 'postgresql_psycopg2' instead of 'postgresql'.")
Database.register_type(Database.new_type((1083,1266), "TIME", util.typecast_time))
Database.register_type(Database.new_type((1114,1184), "TIMESTAMP", util.typecast_timestamp))
Database.register_type(Database.new_type((16,), "BOOLEAN", util.typecast_boolean))
Database.register_type(Database.new_type((1700,), "NUMERIC", util.typecast_decimal))
Database.register_type(Database.new_type(Database.types[1043].values, 'STRING', typecast_string))
示例#7
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            self.x, self.y, self.x + self.width, self.y + self.height)
        return s

    def show(self):
        """Format a description of the box."""
        s = "X: %d\tY: %d\tWidth: %d\tHeight: %d" % (
            self.x, self.y, self.width, self.height)
        return s
    
# here we select from the empty table, just to grab the description
curs.execute("SELECT b FROM test_cast WHERE 0=1")
boxoid = curs.description[0][1]
print "Oid for the box datatype is", boxoid

# and build the user cast object
BOX = psycopg.new_type((boxoid,), "BOX", Rect)
psycopg.register_type(BOX)

# now insert 100 random data (2 points and a box in each row)
for i in range(100):
    p1 = (whrandom.randint(0,100), whrandom.randint(0,100))
    p2 = (whrandom.randint(0,100), whrandom.randint(0,100))
    b = Rect()
    b.from_points(whrandom.randint(0,100), whrandom.randint(0,100),
                  whrandom.randint(0,100), whrandom.randint(0,100))
    curs.execute("INSERT INTO test_cast VALUES ('%(p1)s', '%(p2)s', %(box)s)",
                 {'box':b, 'p1':p1, 'p2':p2})

# select and print all boxes with at least one point inside
curs.execute("SELECT b FROM test_cast WHERE p1 @ b OR p2 @ b")
boxes = curs.fetchall()
示例#8
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  slettes inaktiv affiliationen.  next_person

  Send mail til brukeren med oppfordring om å kontakte sin LITA for å
  bli korrekt registrert. (TODO)
"""

if True:  # Do not use if database has numeric(X,N) where N > 0
    import psycopg
    def float_to_int(v):
        if v is None:
            return v
        try:
            return int(v)
        except ValueError:
            return long(v)
    MY_INT = psycopg.new_type((1700,), "MY_INT", float_to_int)
    psycopg.register_type(MY_INT)
    cereconf.CLASS_DBDRIVER = ['Cerebrum.Database/PsycoPG']

db = Factory.get('Database')()
db.cl_init(change_program="upd_old_affs")
co = Factory.get('Constants')(db)
ac = Factory.get('Account')(db)
sko = Factory.get("OU")(db)

person = Factory.get('Person')(db)
logger = Factory.get_logger("cronjob")
threshold = time.time() - 3600*24*90   # 90 days

aff_mapping = {
    int(co.affiliation_manuell_inaktiv_ansatt): int(co.affiliation_ansatt),
示例#9
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        if self.value:
            return "'t'"
        else:
            return "'f'"

    def __nonzero__(self):
        return self.value

    
# here we select from the empty table, just to grab the description
curs.execute("SELECT v FROM test_bool WHERE 0=1")
booloid = curs.description[0][1]
print "Oid for the boolean datatype is", booloid

# and build the user cast object
BOOLEAN = psycopg.new_type((booloid,), "BOOLEAN", Boolean)
psycopg.register_type(BOOLEAN)

# now insert some data
curs.execute("INSERT INTO test_bool VALUES ('t', 1)")
curs.execute("INSERT INTO test_bool VALUES ('f', 0)")

# select and print all value, then re-insert them
curs.execute("SELECT * FROM test_bool")
for row in curs.fetchall():
    print row
    curs.execute("INSERT INTO test_bool VALUES (%s, %d)", row)

# re-select
print
curs.execute("SELECT * FROM test_bool")
示例#10
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                     style.SQL_KEYWORD('RESTART'),
                     style.SQL_KEYWORD('WITH'),
                     style.SQL_FIELD('1')
                     )
                )
        return sql
    else:
        return []


# Register these custom typecasts, because Django expects dates/times to be
# in Python's native (standard-library) datetime/time format, whereas psycopg
# use mx.DateTime by default.
try:
    Database.register_type(
        Database.new_type((1082, ), "DATE", util.typecast_date))
except AttributeError:
    raise Exception, "You appear to be using psycopg version 2. Set your DATABASE_ENGINE to 'postgresql_psycopg2' instead of 'postgresql'."
Database.register_type(
    Database.new_type((1083, 1266), "TIME", util.typecast_time))
Database.register_type(
    Database.new_type((1114, 1184), "TIMESTAMP", util.typecast_timestamp))
Database.register_type(
    Database.new_type((16, ), "BOOLEAN", util.typecast_boolean))

OPERATOR_MAPPING = {
    'exact': '= %s',
    'iexact': 'ILIKE %s',
    'contains': 'LIKE %s',
    'icontains': 'ILIKE %s',
    'gt': '> %s',
示例#11
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                break # Only one AutoField is allowed per model, so don't bother continuing.
        for f in model._meta.many_to_many:
            output.append("%s setval('%s', (%s max(%s) %s %s));" % \
                (style.SQL_KEYWORD('SELECT'),
                style.SQL_FIELD(quote_name('%s_id_seq' % f.m2m_db_table())),
                style.SQL_KEYWORD('SELECT'),
                style.SQL_FIELD(quote_name('id')),
                style.SQL_KEYWORD('FROM'),
                style.SQL_TABLE(f.m2m_db_table())))
    return output
        
# Register these custom typecasts, because Django expects dates/times to be
# in Python's native (standard-library) datetime/time format, whereas psycopg
# use mx.DateTime by default.
try:
    Database.register_type(Database.new_type((1082,), "DATE", util.typecast_date))
except AttributeError:
    raise Exception, "You appear to be using psycopg version 2. Set your DATABASE_ENGINE to 'postgresql_psycopg2' instead of 'postgresql'."
Database.register_type(Database.new_type((1083,1266), "TIME", util.typecast_time))
Database.register_type(Database.new_type((1114,1184), "TIMESTAMP", util.typecast_timestamp))
Database.register_type(Database.new_type((16,), "BOOLEAN", util.typecast_boolean))
Database.register_type(Database.new_type((1700,), "NUMERIC", util.typecast_decimal))

OPERATOR_MAPPING = {
    'exact': '= %s',
    'iexact': 'ILIKE %s',
    'contains': 'LIKE %s',
    'icontains': 'ILIKE %s',
    'gt': '> %s',
    'gte': '>= %s',
    'lt': '< %s',