co3/notebooks/mapper.ipynb

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      "/home/smgr/.pyenv/versions/co4/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import vegetables"
   ]
  },
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   "source": [
    "## Development notes\n",
    "- No registry actually needs to take place if there's a default type2component map or one supplied on creation. Can just collect right out of the gate\n",
    "- Need connective function (type to collation) and attribute map. Do we need to this with a subclass? If a func is passed in on init, I can type it appropriately I guess `Callable[[type[CO3],str,str|None],dict]`"
   ]
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   "source": [
    "## Usage\n",
    "The Mapper's primary job is to associate class hierarchies with database components. This can be done in a few ways:\n",
    "\n",
    "1. Manually attaching a type reference to a Component\n",
    "2. Attaching a type reference to a Component's name as registered in a schema\n",
    "3. Automatically register the CO3 heirarchy to matching schema component names (through transformation)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2672422-3596-4eab-ac44-5da617f74b80",
   "metadata": {},
   "source": [
    "## Explicit example steps"
   ]
  },
  {
   "cell_type": "code",
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   "id": "7d80f7b9-7458-4ad4-8c1a-3ea56e796b4e",
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   "source": [
    "from co3 import Mapper\n",
    "\n",
    "vegetable_mapper = Mapper(\n",
    "    vegetables.Vegetable,\n",
    "    vegetables.vegetable_schema\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d24d31b4-c4a6-4a1e-8bea-c44378aadfdd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nvegetable_mapper.attach(\\n    vegetables.Vegetable,\\n    vegetables.vegetable_table,\\n)\\n'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# not valid; tables need to be wrapped in CO3 Components\n",
    "'''\n",
    "vegetable_mapper.attach(\n",
    "    vegetables.Vegetable,\n",
    "    vegetables.vegetable_table,\n",
    ")\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f9408562-bf50-4522-909c-318557f85948",
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   "outputs": [],
   "source": [
    "# manually attach component\n",
    "vegetable_mapper.attach(\n",
    "    vegetables.Tomato,\n",
    "    vegetables.vegetable_schema.get_component('tomato'),\n",
    "    coll_groups={\n",
    "        'aging':   vegetables.vegetable_schema.get_component('tomato_aging_states'),\n",
    "        'cooking': vegetables.vegetable_schema.get_component('tomato_cooking_states'),\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "05fdd404-87ee-4187-832f-2305272758ae",
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   "outputs": [],
   "source": [
    "# attach by name in schema\n",
    "vegetable_mapper.attach(\n",
    "    vegetables.Tomato,\n",
    "    'tomato',\n",
    "    coll_groups={\n",
    "        'aging':   'tomato_aging_states',\n",
    "        'cooking': 'tomato_cooking_states',\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e9b6af49-a69d-41cc-beae-1b6f171cd2f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# attach entire type hierarchy w/ type->name map\n",
    "vegetable_mapper.attach_hierarchy(\n",
    "    # this might make more sense during init\n",
    "    vegetables.Vegetable,\n",
    "    lambda x:x.__name__.lower()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0fb45a86-5c9b-41b1-a3ab-5691444f175e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<co3.components.SQLTable at 0x7f2012b23f80>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vegetable_mapper.get_collation_comp(vegetables.Tomato, 'cooking')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2e4336ab-5b5f-484d-815d-164d4b6f40a0",
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    {
     "data": {
      "text/plain": [
       "{'co3_root': vegetables.Vegetable,\n",
       " 'schema': <co3.schemas.SQLSchema at 0x732074224aa0>,\n",
       " 'collector': <co3.collector.Collector at 0x7320757da120>,\n",
       " 'composer': <co3.composer.Composer at 0x7320757da9c0>,\n",
       " 'attribute_comps': {vegetables.Tomato: <co3.components.SQLTable at 0x732074224cb0>},\n",
       " 'collation_groups': defaultdict(dict,\n",
       "             {vegetables.Tomato: {'aging': <co3.components.SQLTable at 0x732074224ce0>,\n",
       "               'cooking': <co3.components.SQLTable at 0x732074224d10>}})}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vars(vegetable_mapper)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47859e25-b803-4459-a581-f10bbcfac716",
   "metadata": {},
   "source": [
    "## Holistic attachment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "70c9baed-b870-4021-8949-9b713d863de6",
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   "source": [
    "def attr_name_map(cls):\n",
    "    return f'{cls.__name__.lower()}'\n",
    "\n",
    "def coll_name_map(cls, action_group):\n",
    "    return f'{cls.__name__.lower()}_{action_group}_states'\n",
    "\n",
    "vegetables.vegetable_mapper.attach_many(\n",
    "    vegetables.type_list,\n",
    "    attr_name_map,\n",
    "    coll_name_map,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c16786d4-0b71-42d9-97f7-7893c542104e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'age': 4}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create new CO3 descendant\n",
    "tomato = vegetables.Tomato('t1', 5)\n",
    "\n",
    "# test a register collation action\n",
    "tomato.collate('ripe')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d7fa94ca-3ecd-4ee3-b0dc-f3b2b65ee47c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Component (SQLTable)> tomato"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vegetables.vegetable_mapper.get_attribute_comp(vegetables.Tomato)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1adc3bc5-957f-4b5a-bc2c-2d172675826d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'schema': <co3.schemas.SQLSchema at 0x7ab568224e60>,\n",
       " 'collector': <co3.collector.Collector at 0x7ab568225190>,\n",
       " 'composer': <co3.composer.Composer at 0x7ab5682251c0>,\n",
       " 'attribute_comps': {vegetables.Vegetable: <Component (SQLTable)> vegetable,\n",
       "  vegetables.Tomato: <Component (SQLTable)> tomato},\n",
       " 'collation_groups': defaultdict(dict,\n",
       "             {vegetables.Vegetable: {},\n",
       "              vegetables.Tomato: {'aging': <Component (SQLTable)> tomato_aging_states,\n",
       "               'cooking': <Component (SQLTable)> tomato_cooking_states}})}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vars(vegetables.vegetable_mapper)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f32d1f65-9b1d-4600-b396-8551fbd1fcf7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['3bf42abc-8a12-452f-baf6-38a05fc5d420',\n",
       " '271b7b84-846e-4d1d-87f6-bcabc90a7b55',\n",
       " 'f9fc5d16-c5cb-47a7-9eca-7df8a3ba5d10']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vegetables.vegetable_mapper.collect(tomato, ['ripe'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "380dfbea-90cc-49fc-aef1-ebb342872632",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "defaultdict(<function co3.collector.Collector.__init__.<locals>.<lambda>()>,\n",
       "            {'3bf42abc-8a12-452f-baf6-38a05fc5d420': (<Component (SQLTable)> vegetable,\n",
       "              {'name': 't1', 'color': 'red'}),\n",
       "             '271b7b84-846e-4d1d-87f6-bcabc90a7b55': (<Component (SQLTable)> tomato,\n",
       "              {'name': 't1', 'radius': 5}),\n",
       "             'f9fc5d16-c5cb-47a7-9eca-7df8a3ba5d10': (<Component (SQLTable)> tomato_aging_states,\n",
       "              {'name': 't1', 'state': 'ripe', 'age': 1})})"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vegetables.vegetable_mapper.collector._inserts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "905bb2a9-9c22-4187-be15-3dd32d206e26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{<Component (SQLTable)> vegetable: [{'name': 't1', 'color': 'red'}],\n",
       " <Component (SQLTable)> tomato: [{'name': 't1', 'radius': 5}],\n",
       " <Component (SQLTable)> tomato_aging_states: [{'name': 't1',\n",
       "   'state': 'ripe',\n",
       "   'age': 1}]}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vegetables.vegetable_mapper.collector.inserts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d166b9af-e3ba-4750-9dcb-d8d4e08fe4d3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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