cost_viz.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: openai-cost-logger==0.3.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (0.3.0)\n",
      "Requirement already satisfied: openai in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai-cost-logger==0.3.0) (1.13.3)\n",
      "Requirement already satisfied: pandas in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai-cost-logger==0.3.0) (2.0.3)\n",
      "Requirement already satisfied: matplotlib in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai-cost-logger==0.3.0) (3.6.3)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (1.2.1)\n",
      "Requirement already satisfied: cycler>=0.10 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (0.11.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (4.51.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (1.4.4)\n",
      "Requirement already satisfied: numpy>=1.19 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (1.25.2)\n",
      "Requirement already satisfied: packaging>=20.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (23.0)\n",
      "Requirement already satisfied: pillow>=6.2.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (8.4.0)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (3.0.6)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from matplotlib->openai-cost-logger==0.3.0) (2.8.2)\n",
      "Requirement already satisfied: anyio<5,>=3.5.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai->openai-cost-logger==0.3.0) (4.3.0)\n",
      "Requirement already satisfied: distro<2,>=1.7.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai->openai-cost-logger==0.3.0) (1.9.0)\n",
      "Requirement already satisfied: httpx<1,>=0.23.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai->openai-cost-logger==0.3.0) (0.27.0)\n",
      "Requirement already satisfied: pydantic<3,>=1.9.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai->openai-cost-logger==0.3.0) (2.7.1)\n",
      "Requirement already satisfied: sniffio in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai->openai-cost-logger==0.3.0) (1.3.0)\n",
      "Requirement already satisfied: tqdm>4 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai->openai-cost-logger==0.3.0) (4.62.3)\n",
      "Requirement already satisfied: typing-extensions<5,>=4.7 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from openai->openai-cost-logger==0.3.0) (4.11.0)\n",
      "Requirement already satisfied: pytz>=2020.1 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from pandas->openai-cost-logger==0.3.0) (2021.3)\n",
      "Requirement already satisfied: tzdata>=2022.1 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from pandas->openai-cost-logger==0.3.0) (2024.1)\n",
      "Requirement already satisfied: idna>=2.8 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from anyio<5,>=3.5.0->openai->openai-cost-logger==0.3.0) (3.3)\n",
      "Requirement already satisfied: exceptiongroup>=1.0.2 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from anyio<5,>=3.5.0->openai->openai-cost-logger==0.3.0) (1.1.0)\n",
      "Requirement already satisfied: certifi in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from httpx<1,>=0.23.0->openai->openai-cost-logger==0.3.0) (2021.10.8)\n",
      "Requirement already satisfied: httpcore==1.* in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from httpx<1,>=0.23.0->openai->openai-cost-logger==0.3.0) (1.0.5)\n",
      "Requirement already satisfied: h11<0.15,>=0.13 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from httpcore==1.*->httpx<1,>=0.23.0->openai->openai-cost-logger==0.3.0) (0.14.0)\n",
      "Requirement already satisfied: annotated-types>=0.4.0 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from pydantic<3,>=1.9.0->openai->openai-cost-logger==0.3.0) (0.6.0)\n",
      "Requirement already satisfied: pydantic-core==2.18.2 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from pydantic<3,>=1.9.0->openai->openai-cost-logger==0.3.0) (2.18.2)\n",
      "Requirement already satisfied: six>=1.5 in /home/drudao/anaconda3/envs/simulacra/lib/python3.9/site-packages (from python-dateutil>=2.7->matplotlib->openai-cost-logger==0.3.0) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install openai-cost-logger==0.3.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "imported openai_cost_logger\n"
     ]
    }
   ],
   "source": [
    "from openai_cost_logger import OpenAICostLoggerViz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "log_path = \"reverie/backend_server/cost-logs/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total cost: 0.630095 (USD)\n"
     ]
    }
   ],
   "source": [
    "OpenAICostLoggerViz.print_total_cost(path=log_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "OpenAICostLoggerViz.plot_cost_by_day(path=log_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "simulacra",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}