mirror of
https://github.com/cemu-project/idapython.git
synced 2024-12-03 14:34:18 +01:00
242 lines
8.8 KiB
Python
242 lines
8.8 KiB
Python
# -----------------------------------------------------------------------
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# Standalone and testing code
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import sys
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try:
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import pywraps
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pywraps_there = True
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print "Using pywraps"
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except:
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pywraps_there = False
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print "Not using pywraps"
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try:
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import _idaapi
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except:
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print "Please try me from inside IDA"
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sys.exit(0)
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import struct
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if pywraps_there:
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_idaapi.register_custom_data_type = pywraps.register_custom_data_type
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_idaapi.unregister_custom_data_type = pywraps.unregister_custom_data_type
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_idaapi.register_custom_data_format = pywraps.register_custom_data_format
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_idaapi.unregister_custom_data_format = pywraps.unregister_custom_data_format
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_idaapi.get_custom_data_format = pywraps.get_custom_data_format
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_idaapi.get_custom_data_type = pywraps.get_custom_data_type
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# -----------------------------------------------------------------------
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#<pycode(py_bytes)>
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DTP_NODUP = 0x0001
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class data_type_t(object):
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"""
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Custom data type definition. All data types should inherit from this class.
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"""
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def __init__(self, name, value_size = 0, menu_name = None, hotkey = None, asm_keyword = None, props = 0):
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"""Please refer to bytes.hpp / data_type_t in the SDK"""
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self.name = name
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self.props = props
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self.menu_name = menu_name
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self.hotkey = hotkey
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self.asm_keyword = asm_keyword
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self.value_size = value_size
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self.id = -1 # Will be initialized after registration
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"""Contains the data type id after the data type is registered"""
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def register(self):
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"""Registers the data type and returns the type id or < 0 on failure"""
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return _idaapi.register_custom_data_type(self)
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def unregister(self):
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"""Unregisters the data type and returns True on success"""
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# Not registered?
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if self.id < 0:
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return True
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# Try to unregister
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r = _idaapi.unregister_custom_data_type(self.id)
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# Clear the ID
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if r:
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self.id = -1
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return r
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#<pydoc>
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# def may_create_at(self, ea, nbytes):
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# """
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# (optional) If this callback is not defined then this means always may create data type at the given ea.
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# @param ea: address of the future item
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# @param nbytes: size of the future item
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# @return: Boolean
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# """
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#
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# return False
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#
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# def calc_item_size(self, ea, maxsize):
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# """
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# (optional) If this callback is defined it means variable size datatype
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# This function is used to determine size of the (possible) item at 'ea'
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# @param ea: address of the item
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# @param maxsize: maximal size of the item
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# @return: integer
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# Returns: 0-no such item can be created/displayed
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# this callback is required only for varsize datatypes
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# """
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# return 0
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#</pydoc>
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# -----------------------------------------------------------------------
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# Uncomment the corresponding callbacks in the inherited class
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class data_format_t(object):
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"""Information about a data format"""
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def __init__(self, name, value_size = 0, menu_name = None, props = 0, hotkey = None, text_width = 0):
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"""Custom data format definition.
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@param name: Format name, must be unique
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@param menu_name: Visible format name to use in menus
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@param props: properties (currently 0)
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@param hotkey: Hotkey for the corresponding menu item
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@param value_size: size of the value in bytes. 0 means any size is ok
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@text_width: Usual width of the text representation
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"""
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self.name = name
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self.menu_name = menu_name
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self.props = props
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self.hotkey = hotkey
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self.value_size = value_size
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self.text_width = text_width
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self.id = -1 # Will be initialized after registration
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"""contains the format id after the format gets registered"""
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def register(self, dtid):
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"""Registers the data format with the given data type id and returns the type id or < 0 on failure"""
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return _idaapi.register_custom_data_format(dtid, self)
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def unregister(self, dtid):
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"""Unregisters the data format with the given data type id"""
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# Not registered?
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if self.id < 0:
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return True
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# Unregister
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r = _idaapi.unregister_custom_data_format(dtid, self.id)
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# Clear the ID
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if r:
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self.id = -1
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return r
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#<pydoc>
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# def printf(self, value, current_ea, operand_num, dtid):
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# """
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# Convert a value buffer to colored string.
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#
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# @param value: The value to be printed
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# @param current_ea: The ea of the value
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# @param operand_num: The affected operand
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# @param dtid: custom data type id (0-standard built-in data type)
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# @return: a colored string representing the passed 'value' or None on failure
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# """
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# return None
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#
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# def scan(self, input, current_ea, operand_num):
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# """
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# Convert from uncolored string 'input' to byte value
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#
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# @param input: input string
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# @param current_ea: current address (BADADDR if unknown)
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# @param operand_num: current operand number (-1 if unknown)
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#
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# @return: tuple (Boolean, string)
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# - (False, ErrorMessage) if conversion fails
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# - (True, Value buffer) if conversion succeeds
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# """
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# return (False, "Not implemented")
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#
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# def analyze(self, current_ea, operand_num):
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# """
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# (optional) Analyze custom data format occurrence.
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# It can be used to create xrefs from the current item.
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#
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# @param current_ea: current address (BADADDR if unknown)
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# @param operand_num: current operand number
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# @return: None
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# """
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#
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# pass
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#</pydoc>
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# -----------------------------------------------------------------------
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def __walk_types_and_formats(formats, type_action, format_action):
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broken = False
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for f in formats:
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if len(f) == 1:
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if not format_action(f[0], 0):
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broken = True
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break
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else:
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dt = f[0]
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dfs = f[1:]
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if not type_action(dt):
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broken = True
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break
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for df in dfs:
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if not format_action(df, dt.id):
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broken = True
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break
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return not broken
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# -----------------------------------------------------------------------
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def register_data_types_and_formats(formats):
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"""
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Registers multiple data types and formats at once.
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To register one type/format at a time use register_custom_data_type/register_custom_data_format
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It employs a special table of types and formats described below:
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The 'formats' is a list of tuples. If a tuple has one element then it is the format to be registered with dtid=0
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If the tuple has more than one element, then tuple[0] is the data type and tuple[1:] are the data formats. For example:
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many_formats = [
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(pascal_data_type(), pascal_data_format()),
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(simplevm_data_type(), simplevm_data_format()),
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(makedword_data_format(),),
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(simplevm_data_format(),)
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]
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The first two tuples describe data types and their associated formats.
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The last two tuples describe two data formats to be used with built-in data types.
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"""
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def __reg_format(df, dtid):
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df.register(dtid)
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if dtid == 0:
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print "Registering format '%s' with built-in types, ID=%d" % (df.name, df.id)
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else:
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print " Registering format '%s', ID=%d (dtid=%d)" % (df.name, df.id, dtid)
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return df.id != -1
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def __reg_type(dt):
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dt.register()
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print "Registering type '%s', ID=%d" % (dt.name, dt.id)
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return dt.id != -1
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ok = __walk_types_and_formats(formats, __reg_type, __reg_format)
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return 1 if ok else -1
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# -----------------------------------------------------------------------
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def unregister_data_types_and_formats(formats):
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"""As opposed to register_data_types_and_formats(), this function
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unregisters multiple data types and formats at once.
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"""
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def __unreg_format(df, dtid):
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df.unregister(dtid)
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print "%snregistering format '%s'" % ("U" if dtid == 0 else " u", df.name)
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return True
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def __unreg_type(dt):
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print "Unregistering type '%s', ID=%d" % (dt.name, dt.id)
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dt.unregister()
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return True
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ok = __walk_types_and_formats(formats, __unreg_type, __unreg_format)
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return 1 if ok else -1
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#</pycode(py_bytes)>
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# -----------------------------------------------------------------------
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