Mod: improved database

Mod: new cli
Mod: improved ultimate runner
Mod: improved multiprocessing

anisotropy/core/cli.py

@@ -89,7 +89,7 @@ def anisotropy():
 )
 @click.option(
     "-s", "--stage", "stage", 
-    type = click.Choice(["all", "mesh", "flow", "postProcessing"]), 
+    type = click.Choice(["all", "shape", "mesh", "flow", "postProcessing"]), 
     default = "all",
     help = "Current computation stage"
 )
@@ -106,12 +106,9 @@ def anisotropy():
     cls = KeyValueOption,
     help = "Overwrite existing parameter (except control variables)"
 )
-def compute(path, configFile, nprocs, stage, overwrite):
+def compute(path, configFile, nprocs, stage, overwrite, params):
     from anisotropy.core.runner import UltimateRunner
     from anisotropy.core.config import DefaultConfig
-    from anisotropy.database.models import Execution
-    from copy import deepcopy
-    from datetime import datetime
 
     config = DefaultConfig() 
 
@@ -123,27 +120,13 @@ def compute(path, configFile, nprocs, stage, overwrite):
         stage = stage,
         overwrite = overwrite 
     )
-    config.expand()
     
-    exec_id = Execution(date = datetime.now())
+    runner = UltimateRunner(config = config)
-    exec_id.save()
+    runner.fill()
-    baseRunner = UltimateRunner(config = config, exec_id = exec_id)
+    runner.start()
-    queue = []
-
-    for case in config.cases:
-        caseConfig = deepcopy(config)
-        caseConfig.purge()
-
-        m_shape = Shape(exec_id = exec_id, **case)
-        m_shape.save()
-
-        caseRunner = UltimateRunner(config = caseConfig, exec_id = exec_id)
-        queue.append(caseRunner)
-
-    baseRunner.parallel(queue)
 
 ##############
-
+"""
 def version():
     msg = "Missed package anisotropy"
 
@@ -261,9 +244,9 @@ def update(force, params, path):
 
 
 @anisotropy.command(
-    help = """Compute cases by chain (mesh -> flow)
+#    help = """#Compute cases by chain (mesh -> flow)
-    
+#    
-    Control parameters: type, direction, theta (each parameter affects on a queue)
+#    Control parameters: type, direction, theta (each parameter affects on a queue)
 """
 )
 @click.option(
@@ -636,7 +619,7 @@ def show(params, path, printlist, export, fields, output):
         elif output == "plot":
             plt.show()
 
-    
+"""    
 ###
 #   CLI entry
 ##

anisotropy/core/config.py

@@ -5,7 +5,7 @@
 import os
 import toml
 from copy import deepcopy
-from numpy import arange, array
+from numpy import arange, array, round
 
 
 class Config(object):
@@ -63,11 +63,12 @@ class Config(object):
 
         #   Expand structures for each direction and each theta
         for structure in self.content["structures"]:
-            thetaA = arange(
+            # ISSUE: precision error 0.06999999999999999
+            thetaA = round(arange(
                 structure["theta"][0], 
                 structure["theta"][1] + structure["thetaStep"], 
                 structure["thetaStep"]
-            )
+            ), 9)
             directionA = array(structure["directions"], dtype = float) 
 
             for direction in directionA:

anisotropy/core/runner.py

@@ -4,55 +4,123 @@
 
 from datetime import datetime
 from os import path
+import logging
 
 from anisotropy.core.config import DefaultConfig
+from anisotropy.core.utils import parallel, ParallelRunner, setupLogger
 from anisotropy.database import *
 from anisotropy.shaping import Simple, BodyCentered, FaceCentered
 from anisotropy.meshing import Mesh
 from anisotropy.openfoam.presets import CreatePatchDict
 from anisotropy.solving.onephase import OnePhaseFlow
 
+logger = logging.getLogger("anisotropy")
+setupLogger(logger, logging.INFO)
+
 class UltimateRunner(object):
-    def __init__(self, config = None, exec_id = None):
+    def __init__(self, config = None, exec_id = None, m_shape = None):
         
         self.config = config or DefaultConfig()
 
+        if not m_shape:
             self.database = Database(self.config["database"])
             self.database.setup()
 
         if not exec_id:
+            with self.database.database:
                 self.exec_id = Execution(date = datetime.now())
                 self.exec_id.save()
+            self.type = "master"
+            self.m_shape = None
+
+        else:
+            self.exec_id = exec_id
+            self.type = "worker"
+            self.m_shape = m_shape
 
         self.shape = None
         self.mesh = None
         self.flow = None
         
+        self.queue = []
+        
+    def fill(self):
+        self.config.expand()
+        
+        for case in self.config.cases:
+            with self.database.database:
+                m_shape = Shape(
+                    exec_id = self.exec_id,
+                    **case
+                )
+                m_shape.save()
+            
+            self.queue.append(UltimateRunner(
+                config = self.config,
+                exec_id = self.exec_id,
+                m_shape = m_shape
+            ))
+        
+                
+        
+    def start(self, queue: list = None, nprocs: int = None):
+        nprocs = nprocs or self.config["nprocs"]
+        runners = [ runner.pipeline for runner in self.queue ]
+        args = [[self.config["stage"]]] * len(self.queue)
+        
+        parallel = ParallelRunner(nprocs = nprocs)
+        parallel.start()
+        
+        for runner in self.queue:
+            parallel.append(runner.pipeline, args = [self.config["stage"]])
+        
+        parallel.wait()
+        #parallel(nprocs, args, runners)
+        # TODO: if runner done - remove from queue; results from parallel function
+        
     def casepath(self):
-        params = self.config.cases[0]
+        
+        with self.database.database:
+            params = Shape.get(
+                Shape.exec_id == self.exec_id, 
+                Shape.shape_id == self.m_shape.shape_id
+            )
 
         return path.abspath(path.join(
             self.config["build"], 
-            params["label"], 
+            params.label, 
-            "direction-[{},{},{}]".format(*[ str(d) for d in params["direction"] ]), 
+            "direction-[{},{},{}]".format(*[ str(d) for d in params.direction ]), 
-            "theta-{}".format(params["theta"])
+            "theta-{}".format(params.theta)
         ))
 
     def computeShape(self):
-        params = self.config.cases[0]
+        if not self.type == "worker":
+            return
+        self.database = Database(self.config["database"])
+        self.database.setup()
+        with self.database.database:
+            params = Shape.get(
+                Shape.exec_id == self.exec_id, 
+                Shape.shape_id == self.m_shape.shape_id
+            )
         filename = "shape.step"
 
+        logger.info([params.label, params.direction, params.theta])
         self.shape = {
             "simple": Simple,
             "bodyCentered": BodyCentered,
             "faceCentered": FaceCentered
-        }[params["label"]](params["direction"])
+        }[params.label](params.direction)
 
         self.shape.build()
 
         os.makedirs(self.casepath(), exist_ok = True)
         self.shape.export(path.join(self.casepath(), filename))
         
+        with self.database.database:
+            params.shapeStatus = "Done"
+            params.save()
+
     def computeMesh(self):
         params = self.config.cases[0]
         filename = "mesh.mesh"
@@ -122,21 +190,12 @@ class UltimateRunner(object):
         stage = stage or self.config["stage"]
 
         if stage in ["shape", "all"]:
-            with self.database.atomic():
-                Shape.create(self._exec_id, **self.config.cases[0])
-
             self.computeShape()
 
         elif stage in ["mesh", "all"]:
-            with self.database.atomic():
-                Mesh.create(self._exec_id)
-
             self.computeMesh()
 
         elif stage in ["flow", "all"]:
-            with self.database.atomic():
-                Flow.create(self._exec_id)
-
             self.computeFlow()
 
         elif stage in ["postProcess", "all"]:
@@ -144,8 +203,4 @@ class UltimateRunner(object):
 
 
 
-    def parallel(queue: list, nprocs = None):
-        nprocs = nprocs or self.config["nprocs"]
-
-        parallel(nprocs, [()] * len(queue), [ runner.pipeline for runner in queue ])
 

anisotropy/core/utils.py

@@ -5,6 +5,7 @@
 import logging
 
 from multiprocessing import Queue, Process, cpu_count
+import dill
 import socket
 import copy
 import time
@@ -276,6 +277,64 @@ def parallel(np, var, cmd):
 
     return results
 
+class ParallelRunner(object):
+    def __init__(self, nprocs: int = 1, daemon: bool = True):
+        self.nprocs = nprocs
+        self.daemon = daemon
+        
+        self.processes = []
+        self.queueInput = Queue(maxsize = 1)
+        self.queueOutput = Queue()
+        
+        self.__pos = -1
+        self.output = []
+    
+    def append(self, command, args = [], kwargs = {}):
+        self.__pos += 1
+        self.queueInput.put(dill.dumps((self.__pos, command, args, kwargs)))
+        
+    def extend(self, commands: list, args: list = [], kwargs: list = []):
+        for command, cargs, ckwargs in zip(commands, args, kwargs):
+            self.append(command, cargs, ckwargs)
+    
+    @staticmethod
+    def queueRelease(queueInput, queueOutput):
+        while True:
+            pos, command, args, kwargs = dill.loads(queueInput.get())
+            
+            if pos is None or command is None:
+                break
+                
+            output = command(*args, **kwargs)
+            
+            queueOutput.put((pos, output))
+    
+    def start(self):
+        for n in range(self.nprocs):
+            self.processes.append(Process(
+                target = self.queueRelease, 
+                args = (self.queueInput, self.queueOutput)
+            ))
+        
+        for proc in self.processes:
+            proc.daemon = self.daemon
+            proc.start()
+        
+    def wait(self):
+        for _ in range(self.nprocs):
+            self.append(None)
+        
+        self.output = [ [] for _ in range(self.queueOutput.qsize()) ]
+        
+        for _ in range(self.queueOutput.qsize()):
+            pos, output = self.queueOutput.get()
+            self.output[pos] = output
+        
+        for proc in self.processes:
+            proc.join()
+        
+        self.__pos = -1
+        
 
 def portIsFree(address, port):
 

anisotropy/database/database.py

@@ -6,10 +6,9 @@ import os
 from .models import (
     sqliteDB,
     Execution, 
-    Physics, 
     Shape, 
     Mesh, 
-    Flow
+    FlowOnephase
 )
 
 
@@ -22,15 +21,20 @@ class Database(object):
         path = os.path.abspath(self.filename)
         #os.makedirs(path, exist_ok = True)
         
-        self.database.init(path)
+        self.database.init(
+            path,
+            pragmas = { "foreign_keys": 1 },
+            field_types = { "list": "text" },
+            autoconnect = False
+        )
         
         if not os.path.exists(path):
+            with self.database:
                 self.database.create_tables([Execution])
                 self.database.create_tables([
-                Physics,
                     Shape,
                     Mesh,
-                Flow
+                    FlowOnephase
                 ])
 
 

anisotropy/database/models.py

@@ -10,12 +10,13 @@ from peewee import (
     IntegerField, BooleanField, 
     TimeField, DateTimeField
 )
-from anisotropy.database.utils import ListField, JSONField
+from anisotropy.database.utils import JSONField
 
 sqliteDB = SqliteDatabase(
     None,
     pragmas = { "foreign_keys": 1 },
-    field_types = { "list": "text" }
+    field_types = { "list": "text" },
+    autoconnect = False
 )
 
 class Execution(Model):
@@ -29,30 +30,15 @@ class Execution(Model):
         table_name = "executions"
 
 
-class Physics(Model):
-    physics_id = AutoField()
-    exec_id = ForeignKeyField(Execution, backref = "physics")
-
-    volumeCell = FloatField(null = True)
-    volume = FloatField(null = True)
-    volumeRounded = FloatField(null = True)
-    porosity = FloatField(null = True)
-    porosityRounded = FloatField(null = True)
-    flowRate = FloatField(null = True)
-    permeability = FloatField(null = True)
-
-    class Meta:
-        database = sqliteDB 
-        table_name = "physics"
-        depends_on = Execution
-
-
 class Shape(Model):
-    structure_id = AutoField()
+    shape_id = AutoField()
-    exec_id = ForeignKeyField(Execution, backref = "physics")
+    exec_id = ForeignKeyField(Execution, backref = "executions")
+
+    shapeStatus = TextField(null = True, default = "Idle")
+    shapeCalculationTime = TimeField(null = True)   
     
     label = TextField(null = True)
-    direction = ListField(null = True)
+    direction = JSONField(null = True)
     theta = FloatField(null = True)
 
     r0 = FloatField(null = True)
@@ -62,6 +48,12 @@ class Shape(Model):
     filletsEnabled = BooleanField(null = True)
     fillets = FloatField(null = True)
 
+    volumeCell = FloatField(null = True)
+    volume = FloatField(null = True)
+    volumeRounded = FloatField(null = True)
+    porosity = FloatField(null = True)
+    porosityRounded = FloatField(null = True)
+
     class Meta:
         database = sqliteDB 
         table_name = "shapes"
@@ -70,7 +62,10 @@ class Shape(Model):
 
 class Mesh(Model):
     mesh_id = AutoField()
-    exec_id = ForeignKeyField(Execution, backref = "meshes")
+    shape_id = ForeignKeyField(Shape, backref = "shapes")
+ 
+    meshStatus = TextField(null = True, default = "Idle")
+    meshCalculationTime = TimeField(null = True)   
     
     elements = IntegerField(null = True)
     edges = IntegerField(null = True)
@@ -80,8 +75,6 @@ class Mesh(Model):
     prisms = IntegerField(null = True)
     pyramids = IntegerField(null = True)
 
-    meshStatus = TextField(null = True, default = "Idle")
-    meshCalculationTime = TimeField(null = True)
 
     class Meta:
         database = sqliteDB 
@@ -89,13 +82,16 @@ class Mesh(Model):
         depends_on = Execution
 
 
-class Flow(Model):
+class FlowOnephase(Model):
     flow_id = AutoField()
-    exec_id = ForeignKeyField(Execution, backref = "flows")
+    mesh_id = ForeignKeyField(Mesh, backref = "meshes")
 
     flowStatus = TextField(null = True, default = "Idle")
     flowCalculationTime = TimeField(null = True)
 
+    flowRate = FloatField(null = True)
+    permeability = FloatField(null = True)
+
     class Meta:
         database = sqliteDB 
         table_name = "flows"

anisotropy/database/utils.py

@@ -4,7 +4,7 @@
 
 from peewee import TextField
 import json
-
+from numpy import ndarray
 
 class ListField(TextField):
     field_type = "list"
@@ -27,7 +27,13 @@ class ListField(TextField):
 
 class JSONField(TextField):
     def db_value(self, value):
-        return json.dumps(value)
+        if isinstance(value, ndarray):
+            formatted = list(value)
+        
+        else:
+            formatted = value
+            
+        return json.dumps(formatted)
 
     def python_value(self, value):
         if value is not None:

playground/database.ipynb

@@ -308,131 +308,331 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
-   "id": "dc2e8b67-67ea-477a-af94-dd1ceb1a2a24",
+   "id": "448c99bf-2b6f-43de-92d3-dc1267e766d3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "6f9e3cfd-8945-4738-9bf6-704bca131a9a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from anisotropy.core.main import Anisotropy\n",
+    "db = SqliteDatabase(\"newtest2.db\")"
-    "model = Anisotropy()\n",
-    "params_: list = model.loadFromScratch(\"test_anisotropy.toml\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 48,
-   "id": "e73c9863-e8d7-4ed5-a27e-0c733c3daeb6",
+   "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": [
-       "171"
+       "False"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "len(params_)"
+    "db.is_closed()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 50,
-   "id": "f532c668-965a-4c7c-aaa9-23a9e308a455",
+   "id": "3cf907ef-8988-4f08-b1c1-6c3637cefd29",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "params = numpy.array(params_)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "6ad8131f-3e0f-43b9-ab41-b6e3e56a5245",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pandas import Series"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "6111802f-9e5f-47de-a6ea-f54dd062ecba",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pparams = Series(params_)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "11f04e87-e2f1-4d22-be85-8b6967935c92",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "test = numpy.array([], dtype = object)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "id": "e1a930c3-e591-41e3-8d76-8316f4b8bfac",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "test += 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "id": "075e261f-4387-49c3-9c40-292885cffcc6",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "1"
-       "a.fill(value)\n",
-       "\n",
-       "Fill the array with a scalar value.\n",
-       "\n",
-       "Parameters\n",
-       "----------\n",
-       "value : scalar\n",
-       "    All elements of `a` will be assigned this value.\n",
-       "\n",
-       "Examples\n",
-       "--------\n",
-       ">>> a = np.array([1, 2])\n",
-       ">>> a.fill(0)\n",
-       ">>> a\n",
-       "array([0, 0])\n",
-       ">>> a = np.empty(2)\n",
-       ">>> a.fill(1)\n",
-       ">>> a\n",
-       "array([1.,  1.])\n",
-       "\u001b[0;31mType:\u001b[0m      builtin_function_or_method\n"
       ]
      },
+     "execution_count": 50,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "?test.fill"
+    "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": "448c99bf-2b6f-43de-92d3-dc1267e766d3",
+   "id": "79a02231-365d-4a20-8899-6b5e8dbc8489",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -454,7 +654,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.0"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,