{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c4317e7e-d7b9-4bec-9cad-e26a377458b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from peewee import (\n",
    "    SqliteDatabase, JOIN, \n",
    "    Model, Field, \n",
    "    AutoField, ForeignKeyField, \n",
    "    TextField, FloatField, \n",
    "    IntegerField, BooleanField, \n",
    "    TimeField\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "db03ea1b-e950-4f0b-8c4f-c137417981ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "db = SqliteDatabase(\"test_db.db\", pragmas = { \"foreign_keys\" : 1, \"journal_mode\": \"wal\" })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e904a64b-9108-414b-974b-2dbf96018cf5",
   "metadata": {},
   "outputs": [],
   "source": [
    "class ListField(Field):\n",
    "    field_type = \"list\"\n",
    "\n",
    "    def db_value(self, value):\n",
    "        return str(value)\n",
    "\n",
    "    def python_value(self, value):\n",
    "        pval = []\n",
    "\n",
    "        for entry in value[1 : -1].split(\",\"):\n",
    "            try:\n",
    "                pval.append(float(entry))\n",
    "\n",
    "            except:\n",
    "                pval.append(entry.strip().replace(\"'\", \"\"))\n",
    "\n",
    "        return pval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a6049589-dd33-4cfa-8434-1c00285c01e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Structure(Model):\n",
    "    structure_id = AutoField()\n",
    "\n",
    "    type = TextField()\n",
    "    direction = ListField()\n",
    "    theta = FloatField()\n",
    "\n",
    "    r0 = FloatField(null = True)\n",
    "    L = FloatField(null = True)\n",
    "    radius = FloatField(null = True)\n",
    "\n",
    "    filletsEnabled = BooleanField(null = True)\n",
    "    fillets = FloatField(null = True)\n",
    "    #path = TextField()\n",
    "    \n",
    "    class Meta:\n",
    "        database = db\n",
    "        db_table = \"structures\"\n",
    "\n",
    "\n",
    "class Mesh(Model):\n",
    "    mesh_id = AutoField()\n",
    "    structure_id = ForeignKeyField(Structure, backref = \"meshes\")\n",
    "\n",
    "    maxSize = FloatField(null = True) \n",
    "\n",
    "    class Meta:\n",
    "        database = db\n",
    "        db_table = \"meshes\"\n",
    "        depends_on = Structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "77c8b505-8b72-4f41-9f6d-d0b4e44884ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "db.create_tables([Structure, Mesh])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "708acdf5-a604-44c1-8631-d274d0273c1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "62c1c0a0-74ae-43cc-bc75-1fbd353540ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1 = Structure(type = \"simple\", direction = [1, 0, 0], theta = 0.01)\n",
    "s1.save()\n",
    "\n",
    "m1 = Mesh(structure_id = s1, maxSize = 1e-2)\n",
    "m1.save()\n",
    "\n",
    "#db.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0e03bc08-94ea-4680-8223-dbafc13dcfe7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1.theta = 0.12\n",
    "s1.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a2f68e62-0324-4ec2-8113-47cf6e1dc5bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "ss = numpy.array([\n",
    "    Structure(type = \"simple\", direction = [1, 0, 0], theta = 0.01),\n",
    "    Structure(type = \"simple\", direction = [1, 0, 0], theta = 0.02)\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6683ea42-5fdc-4b33-b709-5ea31ae5567f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ss.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "83cc7bde-e003-4f2c-ab9b-f9e37634c374",
   "metadata": {},
   "outputs": [],
   "source": [
    "Structure.bulk_create(ss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "962010a5-68b8-4711-a067-962677aa406d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 simple [1.0, 0.0, 0.0] 0.12\n",
      "2 simple [1.0, 0.0, 0.0] 0.01\n",
      "3 simple [1.0, 0.0, 0.0] 0.01\n",
      "4 simple [1.0, 0.0, 0.0] 0.01\n",
      "5 simple [1.0, 0.0, 0.0] 0.01\n",
      "6 simple [1.0, 0.0, 0.0] 0.01\n",
      "7 simple [1.0, 0.0, 0.0] 0.01\n",
      "8 simple [1.0, 0.0, 0.0] 0.01\n",
      "9 simple [1.0, 0.0, 0.0] 0.01\n",
      "10 simple [1.0, 0.0, 0.0] 0.01\n",
      "11 simple [1.0, 0.0, 0.0] 0.01\n",
      "12 simple [1.0, 0.0, 0.0] 0.02\n"
     ]
    }
   ],
   "source": [
    "for row in Structure.select():\n",
    "    print(row.structure_id, row.type, row.direction, row.theta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a5fc7787-7045-4bb1-a846-5fff8b21417c",
   "metadata": {},
   "outputs": [],
   "source": [
    "sel = Structure.select()[-1]\n",
    "sel2 = sel.meshes.select()[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "480edddc-478e-47ce-8678-490455badd35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Mesh: 8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sel2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8286c287-f89d-40bd-8045-a854013915c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "sel3 = Structure.select().dicts().get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "180b07cb-6c10-4390-9f9c-07bf9f74f39e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'structure_id': 1,\n",
       " 'type': 'simple',\n",
       " 'direction': [1.0, 0.0, 0.0],\n",
       " 'theta': 0.12,\n",
       " 'r0': None,\n",
       " 'L': None,\n",
       " 'radius': None,\n",
       " 'filletsEnabled': None,\n",
       " 'fillets': None}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sel3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "448c99bf-2b6f-43de-92d3-dc1267e766d3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "6f9e3cfd-8945-4738-9bf6-704bca131a9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "db = SqliteDatabase(\"newtest2.db\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ff82a760-902a-416d-a5d6-775ddb418a9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Test(Model):\n",
    "    test_id = AutoField()\n",
    "    text = TextField(null = True)\n",
    "    \n",
    "    class Meta:\n",
    "        database = db\n",
    "\n",
    "db.create_tables([Test])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a7f89828-9a8d-43ab-92d4-681fd7cbc416",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db.is_closed()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "3cf907ef-8988-4f08-b1c1-6c3637cefd29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test1 = Test(text = \"hola\")\n",
    "test1.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "0c91e698-a07b-4b52-bc9d-51a37e179cee",
   "metadata": {},
   "outputs": [],
   "source": [
    "test2 = Test.create(text = \"asd\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "1deee68c-07b7-4003-a29f-1e726aefc9e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 hola\n",
      "2 asd\n"
     ]
    }
   ],
   "source": [
    "for row in Test.select():\n",
    "    print(row.test_id, row.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "c59d0a44-b907-427a-91d6-d9c9c72c8bdd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from multiprocessing import Process, Queue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "88212490-2dd1-4058-80fe-57ae30bf38cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "def queue(cmd, qin, qout, *args):\n",
    "    while True:\n",
    "        pos, var = qin.get()\n",
    "        \n",
    "        if pos is None:\n",
    "            break\n",
    "\n",
    "        res = cmd(*var, *args)\n",
    "\n",
    "        qout.put((pos, res))\n",
    "\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "df6568c8-595d-4c35-9560-16bfe8e3a915",
   "metadata": {},
   "outputs": [],
   "source": [
    "def db_save(table):\n",
    "    with db.atomic():\n",
    "        return table.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "53fa9e79-e3e9-4758-a434-4f411dd15858",
   "metadata": {},
   "outputs": [],
   "source": [
    "qin = Queue(1)\n",
    "qout = Queue()\n",
    "procs = []\n",
    "nprocs = 10\n",
    "\n",
    "for n in range(nprocs):\n",
    "    args = (db_save, qin, qout)\n",
    "\n",
    "    procs.append(Process(target = queue, args = args))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "86a39b3c-bbb9-4c7e-938b-3330ad7406b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "for p in procs:\n",
    "    p.daemon = True\n",
    "    p.start()\n",
    "\n",
    "var = []\n",
    "for n in range(50):\n",
    "    var.append([Test(text = f\"test_{ n }\")])\n",
    "\n",
    "for n in range(len(var)):\n",
    "    qin.put((n, var[n]))\n",
    "\n",
    "for _ in range(nprocs):\n",
    "    qin.put((None, None))\n",
    "\n",
    "results = [[] for n in range(len(var))]\n",
    "\n",
    "for n in range(len(var)):\n",
    "    index, res = qout.get() \n",
    "    results[index] = res\n",
    "\n",
    "for p in procs:\n",
    "    p.join()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "38e46264-7a61-4215-afe6-827b835ca82b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "procs[0].exitcode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "d8da8120-ba3e-44d3-9b9b-78f040c957c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "test3 = Test.create(text = \"afterproc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "c716656c-7aaa-40da-8582-2311f1dd5314",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 hola\n",
      "2 asd\n",
      "3 test_1\n",
      "4 test_0\n",
      "5 test_11\n",
      "6 test_12\n",
      "7 test_13\n",
      "8 test_3\n",
      "9 test_9\n",
      "10 test_16\n",
      "11 test_2\n",
      "12 test_7\n",
      "13 test_19\n",
      "14 test_20\n",
      "15 test_4\n",
      "16 test_21\n",
      "17 test_23\n",
      "18 test_24\n",
      "19 test_25\n",
      "20 test_26\n",
      "21 test_27\n",
      "22 test_28\n",
      "23 test_18\n",
      "24 test_30\n",
      "25 test_31\n",
      "26 test_32\n",
      "27 test_14\n",
      "28 test_34\n",
      "29 test_35\n",
      "30 test_6\n",
      "31 test_37\n",
      "32 test_38\n",
      "33 test_39\n",
      "34 test_40\n",
      "35 test_41\n",
      "36 test_36\n",
      "37 test_43\n",
      "38 test_44\n",
      "39 test_42\n",
      "40 test_46\n",
      "41 test_47\n",
      "42 test_48\n",
      "43 test_49\n",
      "44 test_45\n",
      "45 test_29\n",
      "46 test_5\n",
      "47 test_10\n",
      "48 test_15\n",
      "49 test_17\n",
      "50 test_33\n",
      "51 test_22\n",
      "52 test_8\n",
      "53 afterproc\n"
     ]
    }
   ],
   "source": [
    "for row in Test.select():\n",
    "    print(row.test_id, row.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "f46377ad-0af5-4acf-95bb-955e327f51e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<peewee.SqliteDatabase at 0x7f4cdbc08f70>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "79a02231-365d-4a20-8899-6b5e8dbc8489",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "file_extension": ".py",
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