zodb experimentation.ipynb

zodb experimentation.ipynb

{
  "cells": [
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2017-05-11T06:27:22.187668Z",
          "start_time": "2017-05-11T06:27:22.163738Z"
        },
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "from anytree import NodeMixin, RenderTree, Resolver\nfrom anytree.dotexport import RenderTreeGraph\nfrom IPython.display import display, Image\nfrom tempfile import NamedTemporaryFile\nfrom contextlib import contextmanager\nfrom functools import partial\nfrom textwrap import dedent\nimport itertools\nimport BTrees as btrees\nimport persistent\nimport ZODB as zodb\nimport anytree\n\n# instantiate database\ndb = zodb.DB(None)\n\ndef render_node(node):\n    with NamedTemporaryFile(suffix='.png') as fp:\n        file = RenderTreeGraph(node).to_picture(fp.name)\n        display(Image(fp.name))",
      "execution_count": 33,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2017-05-11T06:27:22.200191Z",
          "start_time": "2017-05-11T06:27:22.190453Z"
        },
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "class Unit(persistent.Persistent, NodeMixin):\n    def __init__(self, name, parent=None):\n        self.name = name\n        self.parent = parent\n    def __repr__(self):\n        return self.name\n    ",
      "execution_count": 34,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2017-05-11T06:27:22.214007Z",
          "start_time": "2017-05-11T06:27:22.202335Z"
        },
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "a = Unit('a')\nb = Unit('b', parent=a)\nc = Unit('c', parent=a)\nd = Unit('d', parent=c)\ne = Unit('e', parent=c)\nf = Unit('f', parent=d)\ng = Unit('g', parent=f)",
      "execution_count": 35,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2017-05-11T06:27:22.224039Z",
          "start_time": "2017-05-11T06:27:22.216457Z"
        },
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "with db.transaction() as conn:\n    conn.root.military = btrees.OOBTree.OOBTree()\n    conn.root.military['bj'] = a",
      "execution_count": 36,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2017-05-11T06:27:22.239286Z",
          "start_time": "2017-05-11T06:27:22.226460Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "with db.transaction() as conn:\n    top = conn.root.military['bj']\n    print(RenderTree(top))\n    z = Unit('z')\n    z.parent = top",
      "execution_count": 37,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "a\n├── b\n└── c\n    ├── d\n    │   └── f\n    │       └── g\n    └── e\n"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2017-05-11T07:38:08.121510Z",
          "start_time": "2017-05-11T07:38:08.002615Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "with db.transaction() as conn:\n    top = conn.root.military['bj']\n    render_node(top)\n    \n    r = Resolver('name')\n    \n    *_, d = r.glob(top, '*/d')\n    \n    print('for node d:')\n    print(dedent(f\"\"\"\n    parent = {d.parent}\n    children = {d.children}\n    ancestors = {d.anchestors}\n    descendants = {d.descendants}\n    depth = {d.depth}\n    height  {d.height}\n    \"\"\").strip())\n    render_node(d)",
      "execution_count": 42,
      "outputs": [
        {
          "data": {
            "image/png": 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Q8PebeGx6EeY/pwBQ8Jfek7B69WrtzAXeuXhaTbtbbNu2LfE4hT7cdr94/Phx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\nMfGDsqQhBCJA4P8DRtIwgOFAzbwAAAAASUVORK5CYII=\n",
            "text/plain": "<IPython.core.display.Image object>"
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "for node d:\nparent = c\nchildren = (f,)\nancestors = (a, c)\ndescendants = (f, g)\ndepth = 2\nheight  2\n"
        },
        {
          "data": {
            "image/png": 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            "text/plain": "<IPython.core.display.Image object>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2017-05-11T17:14:22.820444Z",
          "start_time": "2017-05-11T17:14:22.718714Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "from itertools import chain\nclass Foo:\n    \n    created = set()\n    \n    def __new__(cls, *args, **kwargs):\n        arguments = (args, tuple(sorted(kwargs.items())))\n        print(f'{cls.__name__} new method called with {arguments}')\n        if arguments in cls.created:\n            raise ValueError(f'{cls.__name__} already created with arguments: {arguments}')\n        cls.created.add(arguments)\n        return super().__new__(cls)\n        \n    def __init__(self, *, name=None, parent=None):\n        self.name = name\n        self.parent = parent\n        \n    def __repr__(self):\n        return f\"name: {self.name}, parent: {self.parent}\"\n        \n    @classmethod\n    def from_dict(cls, dictionary):\n        return cls(**dictionary)\n        \n#foo = Foo('hello', 'world')\nbar = Foo(parent='world', name='hello')\nbar\n\nfoobar = Foo.from_dict({'name': 'foo', 'parent': 'bar'})\nfoobar",
      "execution_count": 80,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Foo new method called with ((), (('name', 'hello'), ('parent', 'world')))\n"
        },
        {
          "data": {
            "text/plain": "name: hello, parent: world"
          },
          "execution_count": 80,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Foo new method called with ((), (('name', 'foo'), ('parent', 'bar')))\n"
        },
        {
          "data": {
            "text/plain": "name: foo, parent: bar"
          },
          "execution_count": 80,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "hide_input": false,
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.6.1",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "gist": {
      "id": "",
      "data": {
        "description": "zodb experimentation.ipynb",
        "public": true
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}