{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SM Interface Sample"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We start by importing the corresponding module :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyscheduling.SMSP.interface as sm "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We create an instance of Problem class :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "problem = sm.Problem()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We add constraints :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "problem.add_constraints([sm.Constraints.W,sm.Constraints.D])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We select an objective :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "problem.set_objective(sm.Objective.wiTi)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We either create an instance of the corresponding problem or randomly generate it :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "problem.generate_random(jobs_number=20,Wmax=10)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we use one of the implemented methods which are found in either **Heuristics** or **Metaheuristics** classes as following :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Search stopped with status : FEASIBLE\n",
      " Solution is : \n",
      " Objective : 4361\n",
      "Job_schedule (job_id , start_time , completion_time) | objective\n",
      "(8, 0, 9) : (16, 9, 18) : (1, 18, 25) : (5, 25, 34) : (11, 34, 63) : (12, 63, 75) : (6, 75, 98) : (14, 98, 110) : (17, 110, 152) : (13, 152, 160) : (18, 160, 177) : (10, 177, 230) : (7, 230, 272) : (3, 272, 294) : (0, 294, 318) : (2, 318, 331) : (19, 331, 380) : (4, 380, 403) : (15, 403, 438) : (9, 438, 482) | 4361 \n",
      "Runtime is : 0.00017630000002100132s \n",
      "time to best is : -1s \n",
      "\n"
     ]
    }
   ],
   "source": [
    "solution = problem.solve(problem.heuristics[\"ACT\"])\n",
    "print(solution)"
   ]
  }
 ],
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