345 lines
9.3 KiB
Plaintext
345 lines
9.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"from netzob.all import *"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"b'\\x0c'"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"i = Integer(value=12, unitSize=UnitSize.SIZE_8)\n",
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"i.generate().tobytes()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"b'\\x00\\x00\\x00\\x0c'"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"i = Integer(value=12, unitSize=UnitSize.SIZE_32)\n",
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"i.generate().tobytes()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"b'\\x0c\\x00\\x00\\x00'"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"i = Integer(value=12, unitSize=UnitSize.SIZE_32, endianness=Endianness.LITTLE)\n",
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"i.generate().tobytes()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"b'\\xff\\xf4'"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"i = Integer(value=-12, sign=Sign.SIGNED, unitSize=UnitSize.SIZE_16)\n",
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"i.generate().tobytes()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"bitarray('00000000000000000000010011010010')"
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]
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},
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"int32be(1234).value\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"b'\\x00\\x00\\x04\\xd2'"
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]
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},
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"execution_count": 18,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"int32be(1234).value.tobytes()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"48"
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]
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},
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"execution_count": 19,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"r = Raw(nbBytes=6)\n",
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"len(r.generate())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"6"
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]
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},
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"execution_count": 20,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(r.generate().tobytes())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{111, 116}"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"r = Raw(nbBytes=100, alphabet=[b\"t\", b\"o\"])\n",
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"data = r.generate().tobytes()\n",
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"data_set = set(data)\n",
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"data_set"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"fheader"
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"fh0 = Field(name='fh0')\n",
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"fh1 = Field(name='fh1')\n",
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"fheader = Field([fh0, fh1], name='fheader')\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Abstract 和 Preset 功能"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 构建规则\n",
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"f1 = Field(name=\"name\", domain=\"john\")\n",
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"f2 = Field(name=\"question\", domain=\", what's up in \")\n",
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"f3 = Field(name=\"city\", domain=Alt([\"Paris\", \"Berlin\"]))\n",
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"f4 = Field(name=\"mark\", domain=\" ?\")\n",
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"symbol = Symbol([f1, f2, f3, f4], name=\"Symbol-john\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"设置预测约束（Setting the Preset）"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [],
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"source": [
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"preset = Preset(symbol)\n",
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"preset[f3] = b\"Paris\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"提供数据进行测试"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {},
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"outputs": [
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{
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"ename": "AbstractionException",
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"evalue": "With the symbol/field 'Symbol-john', can abstract the data: 'john, what's up in Berlin ?', but some parsed values do not match the expected preset.",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mAbstractionException\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[27], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mjohn, what\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124ms up in Berlin ?\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 2\u001b[0m data_structure \u001b[38;5;241m=\u001b[39m \u001b[43msymbol\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mabstract\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpreset\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m~/CCSDS_study/ccsds/lib/python3.8/site-packages/netzob/Model/Vocabulary/AbstractField.py:628\u001b[0m, in \u001b[0;36mAbstractField.abstract\u001b[0;34m(self, data, preset, memory)\u001b[0m\n\u001b[1;32m 626\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m data_structure\n\u001b[1;32m 627\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 628\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AbstractionException(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWith the symbol/field \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, can abstract the data: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, but some parsed values do not match the expected preset.\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;28mself\u001b[39m, data)) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 629\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m InvalidParsingPathException \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 630\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AbstractionException(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWith the symbol/field \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, cannot abstract the data: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m. Error: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;28mself\u001b[39m, data, e)) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n",
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"\u001b[0;31mAbstractionException\u001b[0m: With the symbol/field 'Symbol-john', can abstract the data: 'john, what's up in Berlin ?', but some parsed values do not match the expected preset."
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]
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}
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],
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"source": [
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"data = \"john, what's up in Berlin ?\"\n",
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"data_structure = symbol.abstract(data, preset=preset)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"OrderedDict([('name', b'john'),\n",
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" ('question', b\", what's up in \"),\n",
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" ('city', b'Paris'),\n",
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" ('mark', b' ?')])"
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]
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},
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data = \"john, what's up in Paris ?\"\n",
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"data_structure = symbol.abstract(data, preset=preset)\n",
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"data_structure"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "ccsds",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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