Python cx_Oracle 模块，LONG_STRING 实例源码

我们从Python开源项目中，提取了以下9个代码示例，用于说明如何使用cx_Oracle.LONG_STRING。

项目：CodingDojo 作者：ComputerSocietyUNB | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision, scale = desc[4:6]
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)

项目：trydjango18 作者：wei0104 | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision, scale = desc[4:6]
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        # datetimes are returned as TIMESTAMP, except the results
        # of "dates" queries, which are returned as DATETIME.
        elif desc[1] in (Database.TIMESTAMP, Database.DATETIME):
            # Confirm that dt is naive before overwriting its tzinfo.
            if settings.USE_TZ and value is not None and timezone.is_naive(value):
                value = value.replace(tzinfo=timezone.utc)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)

项目：lifesoundtrack 作者：MTG | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision, scale = desc[4:6]
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)

项目：liberator 作者：libscie | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision = desc[4] or 0
            scale = desc[5] or 0
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)

项目：djanoDoc 作者：JustinChavez | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision, scale = desc[4:6]
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)

项目：django-next-train 作者：bitpixdigital | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision, scale = desc[4:6]
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)

项目：LatinSounds_AppEnviaMail 作者：G3ek-aR | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision = desc[4] or 0
            scale = desc[5] or 0
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)

项目：django-wechat-api 作者：crazy-canux | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision, scale = desc[4:6]
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        # datetimes are returned as TIMESTAMP, except the results
        # of "dates" queries, which are returned as DATETIME.
        elif desc[1] in (Database.TIMESTAMP, Database.DATETIME):
            # Confirm that dt is naive before overwriting its tzinfo.
            if settings.USE_TZ and value is not None and timezone.is_naive(value):
                value = value.replace(tzinfo=timezone.utc)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)

项目：DjangoBlog 作者：0daybug | 项目源码 | 文件源码

def _rowfactory(row, cursor):
    # Cast numeric values as the appropriate Python type based upon the
    # cursor description, and convert strings to unicode.
    casted = []
    for value, desc in zip(row, cursor.description):
        if value is not None and desc[1] is Database.NUMBER:
            precision, scale = desc[4:6]
            if scale == -127:
                if precision == 0:
                    # NUMBER column: decimal-precision floating point
                    # This will normally be an integer from a sequence,
                    # but it could be a decimal value.
                    if '.' in value:
                        value = decimal.Decimal(value)
                    else:
                        value = int(value)
                else:
                    # FLOAT column: binary-precision floating point.
                    # This comes from FloatField columns.
                    value = float(value)
            elif precision > 0:
                # NUMBER(p,s) column: decimal-precision fixed point.
                # This comes from IntField and DecimalField columns.
                if scale == 0:
                    value = int(value)
                else:
                    value = decimal.Decimal(value)
            elif '.' in value:
                # No type information. This normally comes from a
                # mathematical expression in the SELECT list. Guess int
                # or Decimal based on whether it has a decimal point.
                value = decimal.Decimal(value)
            else:
                value = int(value)
        # datetimes are returned as TIMESTAMP, except the results
        # of "dates" queries, which are returned as DATETIME.
        elif desc[1] in (Database.TIMESTAMP, Database.DATETIME):
            # Confirm that dt is naive before overwriting its tzinfo.
            if settings.USE_TZ and value is not None and timezone.is_naive(value):
                value = value.replace(tzinfo=timezone.utc)
        elif desc[1] in (Database.STRING, Database.FIXED_CHAR,
                         Database.LONG_STRING):
            value = to_unicode(value)
        casted.append(value)
    return tuple(casted)