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339 lines (330 loc) · 15.5 KB
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# Copyright (c) 2012-2014 The CEF Python authors. All rights reserved.
# License: New BSD License.
# Website: http://code.google.com/p/cefpython/
# CefListValue->SetXxxx() functions need first param to be be cast
# to (int) because GetSize() returns size_t and generates a warning
# when compiling on VS2008 for x64 platform. Issue reported here:
# https://code.google.com/p/cefpython/issues/detail?id=165
# Here in pyx you also need to convert Py_ssize_t returned by
# enumerate(), to an int.
# -----------------------------------------------------------------------------
# CEF values to Python values
# -----------------------------------------------------------------------------
cdef object CheckForCefPythonMessageHash(CefRefPtr[CefBrowser] cefBrowser,
py_string pyString):
# A javascript callback from the Renderer process is sent as a string.
# TODO: this could be sent using CefBinaryNamedString in the future,
# see this topic "Sending custom data types using process messaging":
# http://www.magpcss.org/ceforum/viewtopic.php?f=6&t=10881
cdef py_string cefPythonMessageHash = "####cefpython####"
cdef JavascriptCallback jsCallback
cdef py_string jsonData
cdef object message
if pyString.startswith(cefPythonMessageHash):
jsonData = pyString[len(cefPythonMessageHash):]
message = json.loads(jsonData)
if message and type(message) == dict and ("what" in message) \
and message["what"] == "javascript-callback":
jsCallback = CreateJavascriptCallback(
message["callbackId"], cefBrowser,
message["frameId"], message["functionName"])
return jsCallback
return pyString
cdef list CefListValueToPyList(
CefRefPtr[CefBrowser] cefBrowser,
CefRefPtr[CefListValue] cefListValue,
int nestingLevel=0):
assert cefListValue.get().IsValid(), "cefListValue is invalid"
if nestingLevel > 8:
raise Exception("CefListValueToPyList(): max nesting level (8)"
" exceeded")
cdef int index
cdef int size = int(cefListValue.get().GetSize())
cdef cef_types.cef_value_type_t valueType
cdef list ret = []
cdef CefRefPtr[CefBinaryValue] binaryValue
cdef cef_types.uint32 uint32_value
cdef cef_types.int64 int64_value
cdef object originallyString
for index in range(0, size):
valueType = cefListValue.get().GetType(index)
if valueType == cef_types.VTYPE_NULL:
ret.append(None)
elif valueType == cef_types.VTYPE_BOOL:
ret.append(bool(cefListValue.get().GetBool(index)))
elif valueType == cef_types.VTYPE_INT:
ret.append(cefListValue.get().GetInt(index))
elif valueType == cef_types.VTYPE_DOUBLE:
ret.append(cefListValue.get().GetDouble(index))
elif valueType == cef_types.VTYPE_STRING:
originallyString = CefToPyString(
cefListValue.get().GetString(index))
originallyString = CheckForCefPythonMessageHash(cefBrowser,
originallyString)
ret.append(originallyString)
elif valueType == cef_types.VTYPE_DICTIONARY:
ret.append(CefDictionaryValueToPyDict(
cefBrowser,
cefListValue.get().GetDictionary(index),
nestingLevel + 1))
elif valueType == cef_types.VTYPE_LIST:
ret.append(CefListValueToPyList(
cefBrowser,
cefListValue.get().GetList(index),
nestingLevel + 1))
elif valueType == cef_types.VTYPE_BINARY:
binaryValue = cefListValue.get().GetBinary(index)
if binaryValue.get().GetSize() == sizeof(uint32_value):
binaryValue.get().GetData(
&uint32_value, sizeof(uint32_value), 0)
ret.append(uint32_value)
elif binaryValue.get().GetSize() == sizeof(int64_value):
binaryValue.get().GetData(
&int64_value, sizeof(int64_value), 0)
ret.append(int64_value)
else:
raise Exception("Unknown binary value, size=%s" % \
binaryValue.get().GetSize())
else:
raise Exception("Unknown value type=%s" % valueType)
return ret
cdef dict CefDictionaryValueToPyDict(
CefRefPtr[CefBrowser] cefBrowser,
CefRefPtr[CefDictionaryValue] cefDictionaryValue,
int nestingLevel=0):
assert cefDictionaryValue.get().IsValid(), "cefDictionaryValue is invalid"
if nestingLevel > 8:
raise Exception("CefDictionaryValueToPyDict(): max nesting level (8)"
" exceeded")
cdef cpp_vector[CefString] keyList
cefDictionaryValue.get().GetKeys(keyList)
cdef cef_types.cef_value_type_t valueType
cdef dict ret = {}
cdef cpp_vector[CefString].iterator iterator = keyList.begin()
cdef CefString cefKey
cdef py_string pyKey
cdef CefRefPtr[CefBinaryValue] binaryValue
cdef cef_types.uint32 uint32_value
cdef cef_types.int64 int64_value
cdef object originallyString
while iterator != keyList.end():
cefKey = deref(iterator)
pyKey = CefToPyString(cefKey)
preinc(iterator)
valueType = cefDictionaryValue.get().GetType(cefKey)
if valueType == cef_types.VTYPE_NULL:
ret[pyKey] = None
elif valueType == cef_types.VTYPE_BOOL:
ret[pyKey] = bool(cefDictionaryValue.get().GetBool(cefKey))
elif valueType == cef_types.VTYPE_INT:
ret[pyKey] = cefDictionaryValue.get().GetInt(cefKey)
elif valueType == cef_types.VTYPE_DOUBLE:
ret[pyKey] = cefDictionaryValue.get().GetDouble(cefKey)
elif valueType == cef_types.VTYPE_STRING:
originallyString = CefToPyString(
cefDictionaryValue.get().GetString(cefKey))
originallyString = CheckForCefPythonMessageHash(cefBrowser,
originallyString)
ret[pyKey] = originallyString
elif valueType == cef_types.VTYPE_DICTIONARY:
ret[pyKey] = CefDictionaryValueToPyDict(
cefBrowser,
cefDictionaryValue.get().GetDictionary(cefKey),
nestingLevel + 1)
elif valueType == cef_types.VTYPE_LIST:
ret[pyKey] = CefListValueToPyList(
cefBrowser,
cefDictionaryValue.get().GetList(cefKey),
nestingLevel + 1)
elif valueType == cef_types.VTYPE_BINARY:
binaryValue = cefDictionaryValue.get().GetBinary(cefKey)
if binaryValue.get().GetSize() == sizeof(uint32_value):
binaryValue.get().GetData(
&uint32_value, sizeof(uint32_value), 0)
ret[pyKey] = uint32_value
elif binaryValue.get().GetSize() == sizeof(int64_value):
binaryValue.get().GetData(
&int64_value, sizeof(int64_value), 0)
ret[pyKey] = int64_value
else:
raise Exception("Unknown binary value, size=%s" % \
binaryValue.get().GetSize())
else:
raise Exception("Unknown value type = %s" % valueType)
return ret
# -----------------------------------------------------------------------------
# Python values to CEF values
# -----------------------------------------------------------------------------
cdef CefRefPtr[CefListValue] PyListToCefListValue(
int browserId,
object frameId,
list pyList,
int nestingLevel=0) except *:
if nestingLevel > 8:
raise Exception("PyListToCefListValue(): max nesting level (8)"
" exceeded")
cdef type valueType
cdef CefRefPtr[CefListValue] ret = CefListValue_Create()
cdef CefRefPtr[CefBinaryValue] binaryValue
cdef int index
for index_size_t, value in enumerate(pyList):
index = int(index_size_t)
valueType = type(value)
if valueType == type(None):
ret.get().SetNull(index)
elif valueType == bool:
ret.get().SetBool(index, bool(value))
elif valueType == int:
ret.get().SetInt(index, int(value))
elif valueType == long:
# Int32 range is -2147483648..2147483647, we've increased the
# minimum size by one as Cython was throwing a warning:
# "unary minus operator applied to unsigned type, result still
# unsigned".
if value <= 2147483647 and value >= -2147483647:
ret.get().SetInt(index, int(value))
else:
# Long values become strings.
ret.get().SetString(index, PyToCefStringValue(str(value)))
elif valueType == float:
ret.get().SetDouble(index, float(value))
elif valueType == bytes or valueType == str \
or (PY_MAJOR_VERSION < 3 and valueType == unicode):
# The unicode type is not defined in Python 3.
ret.get().SetString(index, PyToCefStringValue(str(value)))
elif valueType == dict:
ret.get().SetDictionary(index, PyDictToCefDictionaryValue(
browserId, frameId, value, nestingLevel + 1))
elif valueType == list or valueType == tuple:
if valueType == tuple:
value = list(value)
ret.get().SetList(index, PyListToCefListValue(
browserId, frameId, value, nestingLevel + 1))
elif IsFunctionOrMethod(valueType):
ret.get().SetBinary(index, PutPythonCallback(
browserId, frameId, value))
else:
# Raising an exception probably not a good idea, why
# terminate application when we can cast it to string,
# the data may contain some non-standard object that is
# probably redundant, but casting to string will do no harm.
# This will handle the "type" type.
ret.get().SetString(index, PyToCefStringValue(str(value)))
return ret
cdef void PyListToExistingCefListValue(
int browserId,
object frameId,
list pyList,
CefRefPtr[CefListValue] cefListValue,
int nestingLevel=0) except *:
# When sending process messages you must use an existing
# CefListValue, see browser.pyx > SendProcessMessage().
if nestingLevel > 8:
raise Exception("PyListToCefListValue(): max nesting level (8)"
" exceeded")
cdef type valueType
cdef CefRefPtr[CefListValue] newCefListValue
cdef int index
for index_size_t, value in enumerate(pyList):
index = int(index_size_t)
valueType = type(value)
if valueType == type(None):
cefListValue.get().SetNull(index)
elif valueType == bool:
cefListValue.get().SetBool(index, bool(value))
elif valueType == int:
cefListValue.get().SetInt(index, int(value))
elif valueType == long:
# Int32 range is -2147483648..2147483647, we've increased the
# minimum size by one as Cython was throwing a warning:
# "unary minus operator applied to unsigned type, result still
# unsigned".
if value <= 2147483647 and value >= -2147483647:
cefListValue.get().SetInt(index, int(value))
else:
# Long values become strings.
cefListValue.get().SetString(index, PyToCefStringValue(str(
value)))
elif valueType == float:
cefListValue.get().SetDouble(index, float(value))
elif valueType == bytes or valueType == str \
or (PY_MAJOR_VERSION < 3 and valueType == unicode):
# The unicode type is not defined in Python 3.
cefListValue.get().SetString(index, PyToCefStringValue(str(value)))
elif valueType == dict:
cefListValue.get().SetDictionary(index, PyDictToCefDictionaryValue(
browserId, frameId, value, nestingLevel + 1))
elif valueType == list or valueType == tuple:
if valueType == tuple:
value = list(value)
newCefListValue = CefListValue_Create()
PyListToExistingCefListValue(browserId, frameId, value,
newCefListValue, nestingLevel + 1)
cefListValue.get().SetList(index, newCefListValue)
elif IsFunctionOrMethod(valueType):
cefListValue.get().SetBinary(index, PutPythonCallback(
browserId, frameId, value))
else:
# Raising an exception probably not a good idea, why
# terminate application when we can cast it to string,
# the data may contain some non-standard object that is
# probably redundant, but casting to string will do no harm.
# This will handle the "type" type.
cefListValue.get().SetString(index, PyToCefStringValue(str(value)))
cdef CefRefPtr[CefDictionaryValue] PyDictToCefDictionaryValue(
int browserId,
object frameId,
dict pyDict,
int nestingLevel=0) except *:
if nestingLevel > 8:
raise Exception("PyDictToCefDictionaryValue(): max nesting level (8)"
" exceeded")
cdef type valueType
cdef CefRefPtr[CefDictionaryValue] ret = CefDictionaryValue_Create()
cdef CefString cefKey
cdef object value
for pyKey in pyDict:
value = pyDict[pyKey]
valueType = type(value)
PyToCefString(pyKey, cefKey)
if valueType == type(None):
ret.get().SetNull(cefKey)
elif valueType == bool:
ret.get().SetBool(cefKey, bool(value))
elif valueType == int:
ret.get().SetInt(cefKey, int(value))
elif valueType == long:
# Int32 range is -2147483648..2147483647, we've increased the
# minimum size by one as Cython was throwing a warning:
# "unary minus operator applied to unsigned type, result still
# unsigned".
if value <= 2147483647 and value >= -2147483647:
ret.get().SetInt(cefKey, int(value))
else:
# Long values become strings.
ret.get().SetString(cefKey, PyToCefStringValue(str(value)))
elif valueType == float:
ret.get().SetDouble(cefKey, float(value))
elif valueType == bytes or valueType == str \
or (PY_MAJOR_VERSION < 3 and valueType == unicode):
# The unicode type is not defined in Python 3.
ret.get().SetString(cefKey, PyToCefStringValue(str(value)))
elif valueType == dict:
ret.get().SetDictionary(cefKey, PyDictToCefDictionaryValue(
browserId, frameId, value, nestingLevel + 1))
elif valueType == list or valueType == tuple:
if valueType == tuple:
value = list(value)
ret.get().SetList(cefKey, PyListToCefListValue(
browserId, frameId, value, nestingLevel + 1))
elif IsFunctionOrMethod(valueType):
ret.get().SetBinary(cefKey, PutPythonCallback(
browserId, frameId, value))
else:
# Raising an exception probably not a good idea, why
# terminate application when we can cast it to string,
# the data may contain some non-standard object that is
# probably redundant, but casting to string will do no harm.
# This will handle the "type" type.
ret.get().SetString(cefKey, PyToCefStringValue(str(value)))
return ret
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