01_extract.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %pip install --upgrade langchain langchain-openai chromadb\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "from pydantic import BaseModel\n",
    "\n",
    "from langchain_core.documents import Document\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read data from \"./data/db.sqlite3\"\n",
    "conn = sqlite3.connect(\"./data/db.sqlite3\")\n",
    "# create cursor\n",
    "cur = conn.cursor()\n",
    "# read data from strains_strain table\n",
    "cur.execute(\"SELECT * FROM strains_strain\")\n",
    "# fetch all data\n",
    "data = cur.fetchall()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1,\n",
       " 'Green Crack',\n",
       " 'green-crack',\n",
       " 'Green Crack is a highly energetic and uplifting sativa-dominant strain known for its sharp focus and mental stimulation. The effects of Green Crack are invigorating, making it a popular choice for daytime use to boost creativity and productivity. This strain has a unique combination of sweet and tangy flavors with hints of citrus and tropical fruits. Green Crack is also valued for its ability to relieve stress and fatigue, providing a burst of energy without the typical crash associated with other strains.',\n",
       " 'Sativa',\n",
       " '2024-03-14 13:40:17.463182',\n",
       " '2024-03-17 21:39:09.294111',\n",
       " 'Green Crack is a legendary sativa strain known for its energizing and uplifting effects. Its bright green buds are covered in orange hairs and glistening trichomes, giving off a sweet and tangy aroma that instantly invigorates the senses. When smoked, Green Crack delivers a powerful burst of mental clarity and creativity, perfect for sparking inspiration and motivation. Its high THC content ensures a potent high that can last for hours, making it a favorite among wake-and-bake enthusiasts and creative thinkers. Embrace the energy and focus that Green Crack provides, and let your thoughts soar to new heights.',\n",
       " 'Oh Green Crack, a burst of energy you bring,\\nWith citrus flavors that make us sing.\\nEuphoria and focus in a single puff,\\nA legendary strain, never enough.\\nGreen Crack, a beloved favorite indeed,\\nInhale its magic, let your spirit feed.',\n",
       " '[\"May induce anxiety in some users\", \"Pungent smell that may be strong for some\", \"May cause dry mouth and eyes\"]',\n",
       " '[\"Energetic\", \"Happy\", \"Creative\"]',\n",
       " '[\"Citrus\", \"Sweet\", \"Earthy\"]',\n",
       " '[\"Depression\", \"Fatigue\", \"Stress\"]',\n",
       " '[\"Upbeat and energizing high\", \"Boosts creativity and focus\", \"Helps with fatigue and stress\"]',\n",
       " 'A potent and energizing sativa strain known for its sharp focus and productivity.')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7233"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Strain(BaseModel):\n",
    "    sid: int\n",
    "    name: str\n",
    "    wikileaf_slug: str\n",
    "    description: str\n",
    "    strain_type: str\n",
    "    stoner_description: str\n",
    "    poem: str\n",
    "    cons: list[str]\n",
    "    effects: list[str]\n",
    "    flavors: list[str]\n",
    "    medical_use: list[str]\n",
    "    pros: list[str]\n",
    "    one_liner: str\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a validation class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_data: list[Strain] = []\n",
    "for row in data:\n",
    "    strain = Strain(\n",
    "        sid=row[0],\n",
    "        name=row[1],\n",
    "        wikileaf_slug=row[2],\n",
    "        description=row[3],\n",
    "        strain_type=row[4],\n",
    "        stoner_description=row[7],\n",
    "        poem=row[8],\n",
    "        cons=eval(row[9]),\n",
    "        effects=eval(row[10]),\n",
    "        flavors=eval(row[11]),\n",
    "        medical_use=eval(row[12]),\n",
    "        pros=eval(row[13]),\n",
    "        one_liner=row[14],\n",
    "    )\n",
    "    cleaned_data.append(strain)\n",
    "\n",
    "del data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Strain(sid=1, name='Green Crack', wikileaf_slug='green-crack', description='Green Crack is a highly energetic and uplifting sativa-dominant strain known for its sharp focus and mental stimulation. The effects of Green Crack are invigorating, making it a popular choice for daytime use to boost creativity and productivity. This strain has a unique combination of sweet and tangy flavors with hints of citrus and tropical fruits. Green Crack is also valued for its ability to relieve stress and fatigue, providing a burst of energy without the typical crash associated with other strains.', strain_type='Sativa', stoner_description='Green Crack is a legendary sativa strain known for its energizing and uplifting effects. Its bright green buds are covered in orange hairs and glistening trichomes, giving off a sweet and tangy aroma that instantly invigorates the senses. When smoked, Green Crack delivers a powerful burst of mental clarity and creativity, perfect for sparking inspiration and motivation. Its high THC content ensures a potent high that can last for hours, making it a favorite among wake-and-bake enthusiasts and creative thinkers. Embrace the energy and focus that Green Crack provides, and let your thoughts soar to new heights.', poem='Oh Green Crack, a burst of energy you bring,\\nWith citrus flavors that make us sing.\\nEuphoria and focus in a single puff,\\nA legendary strain, never enough.\\nGreen Crack, a beloved favorite indeed,\\nInhale its magic, let your spirit feed.', cons=['May induce anxiety in some users', 'Pungent smell that may be strong for some', 'May cause dry mouth and eyes'], effects=['Energetic', 'Happy', 'Creative'], flavors=['Citrus', 'Sweet', 'Earthy'], medical_use=['Depression', 'Fatigue', 'Stress'], pros=['Upbeat and energizing high', 'Boosts creativity and focus', 'Helps with fatigue and stress'], one_liner='A potent and energizing sativa strain known for its sharp focus and productivity.'),\n",
       " Strain(sid=2, name='Blue Dream', wikileaf_slug='blue-dream', description='Blue Dream is a sativa-dominant hybrid cannabis strain that originated in California. It is a cross between Blueberry indica and Haze sativa. Blue Dream is known for its sweet, berry-like aroma and flavor, with hints of earthy undertones. The effects of Blue Dream are typically uplifting and cerebral, offering a sense of relaxation and euphoria. Many users appreciate Blue Dream for its ability to provide a balanced and energizing high, making it a popular choice for daytime use. This strain is also known for its high levels of THC, which can range from 17% to 24%. Overall, Blue Dream is a versatile strain that is enjoyed by both recreational and medicinal users for its balanced effects and pleasant taste.', strain_type='Sativa-dominant hybrid', stoner_description=\"Blue Dream is a legendary sativa-dominant hybrid that's a favorite among stoners for its dreamy and uplifting high. Its invigorating effects hit fast, sending you on a euphoric journey through the clouds. The sweet berry aroma and taste will have you floating in a blueberry haze, feeling relaxed and creative. Blue Dream is the perfect strain for chilling with friends, listening to music, or getting lost in a mind-bending movie. It's a must-have in every stoner's stash!\", poem='In a field of blue dreams, a haze of delight,\\nWith petals like clouds, glowing in light.\\nA scent of berries, a taste of sweet,\\nBlue Dream, a strain, a moment to meet.\\nRelaxation and joy in every inhale,\\nIn this dream-like state, worries pale.\\nBlue Dream, a treasure, a delight so rare,\\nInhale, exhale, let go of all care.', cons=['dry mouth', 'paranoia', 'anxious'], effects=['relaxation', 'happiness', 'euphoria', 'creativity', 'focus'], flavors=['blueberry', 'sweet', 'vanilla', 'herbal'], medical_use=['stress', 'depression', 'pain', 'fatigue'], pros=['uplifting', 'euphoric', 'creative', 'energizing'], one_liner='A popular sativa-dominant hybrid known for its uplifting and creative effects.'),\n",
       " Strain(sid=3, name='Sour Diesel', wikileaf_slug='sour-diesel', description='Sour Diesel, also known as Sour D, is a legendary sativa-dominant strain known for its pungent diesel-like aroma and energizing effects. This strain is popular among cannabis enthusiasts for its potent cerebral high, uplifting effects, and creative stimulation. Sour Diesel is believed to have originated in the early 1990s and has since become a staple in the cannabis community. Its vibrant green buds are complemented by orange hairs and a frosty layer of trichomes, giving it a distinct appearance.', strain_type='Sativa', stoner_description=\"A legendary strain known for its energizing and uplifting effects, Sour Diesel is a favorite among stoners for its powerful cerebral high. With a distinct fuel-like aroma and spicy, citrusy flavor, this sativa-dominant strain is perfect for boosting creativity and sparking conversations. Its buds are bright green with orange hairs, and the high THC content ensures a potent and long-lasting buzz. So, if you're looking for a strain that will keep you focused and feeling euphoric, Sour Diesel is the way to go.\", poem='Sour Diesel, a potent wave of green,\\nWith Diesel fuel scent, a sight unseen.\\nEnergizing high, a cerebral delight,\\nSour Diesel, a beacon in the night.\\nEmbrace the haze, the uplifting strain,\\nSour Diesel, a flower with no restrain.', cons=['May cause paranoia or anxiety in sensitive individuals', 'Strong cerebral effects may be overwhelming for some users', 'Dry mouth and red eyes are common side effects'], effects=['Euphoria', 'Happiness', 'Creativity', 'Energy', 'Focus'], flavors=['Diesel', 'Citrus', 'Earthy'], medical_use=['Stress relief', 'Depression', 'Fatigue', 'Pain management', 'ADHD'], pros=['Euphoric high that uplifts the spirit and boosts creativity', 'Invigorating and energizing effects that keep you alert and focused', 'Ideal for daytime use to combat fatigue and stress'], one_liner='Sour Diesel is a powerful sativa-dominant strain known for its invigorating and uplifting effects, with a distinct diesel-like aroma.'),\n",
       " Strain(sid=4, name='Gorilla Glue #4', wikileaf_slug='gorilla-glue-4', description='Gorilla Glue #4, also known as GG4, is an award-winning hybrid strain that has gained popularity for its powerful effects and unique terpene profile. This strain is known for its high THC content, often reaching up to 30%, making it a favorite among experienced cannabis users. GG4 is characterized by its dense, resinous buds that are covered in sticky trichomes, giving it a glue-like appearance. The effects of Gorilla Glue #4 are both relaxing and euphoric, making it suitable for relieving stress, pain, and insomnia. Its aroma is a complex blend of earthy, pine, and diesel notes, with hints of lemon and chocolate. Overall, Gorilla Glue #4 is favored for its potent effects, impressive terpene profile, and versatile medical benefits.', strain_type='Hybrid', stoner_description=\"Yo, let me tell you about Gorilla Glue #4, man. This strain is like a potent mix of happy and chill vibes. It hits you hard with a sense of euphoria that just makes you feel like you're floating on a cloud. The aroma is dank and earthy, with a hint of sweetness that tickles your senses. Gorilla Glue #4 is perfect for kicking back and relaxing after a long day. It's like a warm hug from your favorite bud, bringing you peace and tranquility. So, if you're looking for a strain that will melt away stress and lift your spirits, Gorilla Glue #4 is the way to go, dude.\", poem=\"Gorilla Glue #4, a potent delight,\\nSticky like glue, a cannabis delight,\\nWith buds so dense, and trichomes so bright,\\nEuphoria and relaxation take flight.\\nFrom its pungent aroma to its earthy taste,\\nGorilla Glue #4, a strain with grace.\\nA hybrid of Chem's Sister, Sour Dubb, and Chocolate Diesel,\\nInhale the essence, feel at ease and at peace,\\nGorilla Glue #4, a cannabis masterpiece.\", cons=['Strong couch-lock effect', 'Dry mouth', 'May induce paranoia in high doses'], effects=['Happy', 'Uplifted', 'Relaxed', 'Energetic', 'Creative'], flavors=['Pine', 'Earthy', 'Citrus', 'Sweet'], medical_use=['Chronic pain', 'Stress', 'Depression', 'Lack of appetite', 'Insomnia'], pros=['Euphoric high', 'Relaxing body buzz', 'Increased creativity'], one_liner='A potent and euphoric hybrid strain known for its heavy-hitting effects and sticky resinous buds.'),\n",
       " Strain(sid=5, name='Skywalker OG', wikileaf_slug='skywalker-og', description='Skywalker OG, also known as Skywalker OG Kush, is a potent indica-dominant hybrid strain that stems from Skywalker and OG Kush. It is characterized by its earthy, pine, and spicy aroma with hints of diesel. The effects of Skywalker OG are known to be powerful, providing users with a deep relaxation and euphoria, making it ideal for evening or nighttime use. This strain is popular among cannabis enthusiasts for its strong sedative properties and ability to alleviate stress, pain, and insomnia.', strain_type='Indica-dominant hybrid', stoner_description=\"Skywalker OG is a potent indica-dominant hybrid that will take you to a galaxy far, far away. This strain is known for its powerful effects that can make you feel like you're floating in the clouds. Skywalker OG has a pungent aroma with hints of diesel and spice, making it a favorite among seasoned cannabis enthusiasts. Its deep relaxation effects are perfect for chilling out after a long day or exploring the mysteries of the universe. Let the force of Skywalker OG awaken your senses and elevate your mind to new heights!\", poem=\"In a galaxy far, far away\\nSkywalker OG comes to play\\nWith a force that's strong and true\\nIts potency will surely woo\\nSoothing like the setting sun\\nA favorite strain for everyone\\nMay the calm be with you, always\\nIn Skywalker OG's relaxing haze\", cons=['May cause couch-lock', 'Can induce munchies'], effects=['Body relaxation', 'Mood elevation', 'Munchies'], flavors=['Earthy', 'Sweet', 'Pungent'], medical_use=['Stress relief', 'Pain management', 'Appetite stimulation'], pros=['Relaxing high', 'Euphoric feelings', 'Great for chilling out'], one_liner='A potent indica-dominant hybrid with a sky-high THC content and calming effects.')]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_data[:5]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save Validated Data in json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# write cleaned data to \"./data/strains.json\"\n",
    "import json\n",
    "\n",
    "with open(\"./data/strains.jsonl\", \"w\") as f:\n",
    "    json.dump(list(map(dict, cleaned_data)), f, indent=4)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Injest Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert data to langchain Documents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "docs = list(\n",
    "    map(\n",
    "        lambda doc: Document(str(dict(doc)), metadata={\"name\": doc.name}),\n",
    "        cleaned_data,\n",
    "    )\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Green Crack', 'Blue Dream', 'Sour Diesel', 'Gorilla Glue #4', 'Skywalker OG']\n"
     ]
    }
   ],
   "source": [
    "print(list(map(lambda doc: doc.name, cleaned_data[:5])))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.vectorstores.chroma import Chroma\n",
    "from langchain_openai.embeddings import OpenAIEmbeddings\n",
    "import chromadb\n",
    "\n",
    "from typing import Literal\n",
    "import time\n",
    "\n",
    "\n",
    "def add_documents_to_chroma(\n",
    "    documents: list[Document],\n",
    "    store: Chroma,\n",
    "    batch_size: int = 10,\n",
    "    sleep_time: float | Literal[\"auto\"] = \"auto\",\n",
    ") -> list[str]:\n",
    "    \"\"\"\n",
    "    add_documents adds documents to the store while preventing rate limits.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    documents : list[Document]\n",
    "        The documents to be added to the store\n",
    "    store : Chroma\n",
    "        The store to add the documents to\n",
    "    batch_size : int, optional\n",
    "        The number of documents to add at once, by default 10\n",
    "    sleep_time : float | Literal[\"auto\"], optional\n",
    "        The time to sleep between requests, by default \"auto\".\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    list[str]\n",
    "        The ids of the documents added to the store\n",
    "    \"\"\"\n",
    "    ids: list[str] = []\n",
    "    for i in range(0, len(documents), batch_size):\n",
    "        if sleep_time == \"auto\":\n",
    "            t1 = time.perf_counter()\n",
    "            ids.extend(store.add_documents(documents[i : i + batch_size]))\n",
    "            t2 = time.perf_counter()\n",
    "            time.sleep(2 * (t2 - t1))\n",
    "        else:\n",
    "            ids.extend(store.add_documents(documents[i : i + batch_size]))\n",
    "            time.sleep(sleep_time)\n",
    "        print(f\"Added documents {i} to {i + batch_size}\")\n",
    "\n",
    "    return ids\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Added documents 0 to 10\n",
      "Added documents 10 to 20\n",
      "Added documents 20 to 30\n",
      "Added documents 30 to 40\n",
      "Added documents 40 to 50\n",
      "Added documents 50 to 60\n",
      "Added documents 60 to 70\n",
      "Added documents 70 to 80\n",
      "Added documents 80 to 90\n",
      "Added documents 90 to 100\n",
      "Added documents 100 to 110\n",
      "Added documents 110 to 120\n",
      "Added documents 120 to 130\n",
      "Added documents 130 to 140\n",
      "Added documents 140 to 150\n",
      "Added documents 150 to 160\n",
      "Added documents 160 to 170\n",
      "Added documents 170 to 180\n",
      "Added documents 180 to 190\n",
      "Added documents 190 to 200\n",
      "Added documents 200 to 210\n",
      "Added documents 210 to 220\n",
      "Added documents 220 to 230\n",
      "Added documents 230 to 240\n",
      "Added documents 240 to 250\n",
      "Added documents 250 to 260\n",
      "Added documents 260 to 270\n",
      "Added documents 270 to 280\n",
      "Added documents 280 to 290\n",
      "Added documents 290 to 300\n",
      "Added documents 300 to 310\n",
      "Added documents 310 to 320\n",
      "Added documents 320 to 330\n",
      "Added documents 330 to 340\n",
      "Added documents 340 to 350\n",
      "Added documents 350 to 360\n",
      "Added documents 360 to 370\n",
      "Added documents 370 to 380\n",
      "Added documents 380 to 390\n",
      "Added documents 390 to 400\n",
      "Added documents 400 to 410\n",
      "Added documents 410 to 420\n",
      "Added documents 420 to 430\n",
      "Added documents 430 to 440\n",
      "Added documents 440 to 450\n",
      "Added documents 450 to 460\n",
      "Added documents 460 to 470\n",
      "Added documents 470 to 480\n",
      "Added documents 480 to 490\n",
      "Added documents 490 to 500\n",
      "Added documents 500 to 510\n",
      "Added documents 510 to 520\n",
      "Added documents 520 to 530\n",
      "Added documents 530 to 540\n",
      "Added documents 540 to 550\n",
      "Added documents 550 to 560\n",
      "Added documents 560 to 570\n",
      "Added documents 570 to 580\n",
      "Added documents 580 to 590\n",
      "Added documents 590 to 600\n",
      "Added documents 600 to 610\n",
      "Added documents 610 to 620\n",
      "Added documents 620 to 630\n",
      "Added documents 630 to 640\n",
      "Added documents 640 to 650\n",
      "Added documents 650 to 660\n",
      "Added documents 660 to 670\n",
      "Added documents 670 to 680\n",
      "Added documents 680 to 690\n",
      "Added documents 690 to 700\n",
      "Added documents 700 to 710\n",
      "Added documents 710 to 720\n",
      "Added documents 720 to 730\n",
      "Added documents 730 to 740\n",
      "Added documents 740 to 750\n",
      "Added documents 750 to 760\n",
      "Added documents 760 to 770\n",
      "Added documents 770 to 780\n",
      "Added documents 780 to 790\n",
      "Added documents 790 to 800\n",
      "Added documents 800 to 810\n",
      "Added documents 810 to 820\n",
      "Added documents 820 to 830\n",
      "Added documents 830 to 840\n",
      "Added documents 840 to 850\n",
      "Added documents 850 to 860\n",
      "Added documents 860 to 870\n",
      "Added documents 870 to 880\n",
      "Added documents 880 to 890\n",
      "Added documents 890 to 900\n",
      "Added documents 900 to 910\n",
      "Added documents 910 to 920\n",
      "Added documents 920 to 930\n",
      "Added documents 930 to 940\n",
      "Added documents 940 to 950\n",
      "Added documents 950 to 960\n",
      "Added documents 960 to 970\n",
      "Added documents 970 to 980\n",
      "Added documents 980 to 990\n",
      "Added documents 990 to 1000\n",
      "Added documents 1000 to 1010\n",
      "Added documents 1010 to 1020\n",
      "Added documents 1020 to 1030\n",
      "Added documents 1030 to 1040\n",
      "Added documents 1040 to 1050\n",
      "Added documents 1050 to 1060\n",
      "Added documents 1060 to 1070\n",
      "Added documents 1070 to 1080\n",
      "Added documents 1080 to 1090\n",
      "Added documents 1090 to 1100\n",
      "Added documents 1100 to 1110\n",
      "Added documents 1110 to 1120\n",
      "Added documents 1120 to 1130\n",
      "Added documents 1130 to 1140\n",
      "Added documents 1140 to 1150\n",
      "Added documents 1150 to 1160\n",
      "Added documents 1160 to 1170\n",
      "Added documents 1170 to 1180\n",
      "Added documents 1180 to 1190\n",
      "Added documents 1190 to 1200\n",
      "Added documents 1200 to 1210\n",
      "Added documents 1210 to 1220\n",
      "Added documents 1220 to 1230\n",
      "Added documents 1230 to 1240\n",
      "Added documents 1240 to 1250\n",
      "Added documents 1250 to 1260\n",
      "Added documents 1260 to 1270\n",
      "Added documents 1270 to 1280\n",
      "Added documents 1280 to 1290\n",
      "Added documents 1290 to 1300\n",
      "Added documents 1300 to 1310\n",
      "Added documents 1310 to 1320\n",
      "Added documents 1320 to 1330\n",
      "Added documents 1330 to 1340\n",
      "Added documents 1340 to 1350\n",
      "Added documents 1350 to 1360\n",
      "Added documents 1360 to 1370\n",
      "Added documents 1370 to 1380\n",
      "Added documents 1380 to 1390\n",
      "Added documents 1390 to 1400\n",
      "Added documents 1400 to 1410\n",
      "Added documents 1410 to 1420\n",
      "Added documents 1420 to 1430\n",
      "Added documents 1430 to 1440\n",
      "Added documents 1440 to 1450\n",
      "Added documents 1450 to 1460\n",
      "Added documents 1460 to 1470\n",
      "Added documents 1470 to 1480\n",
      "Added documents 1480 to 1490\n",
      "Added documents 1490 to 1500\n",
      "Added documents 1500 to 1510\n",
      "Added documents 1510 to 1520\n",
      "Added documents 1520 to 1530\n",
      "Added documents 1530 to 1540\n",
      "Added documents 1540 to 1550\n",
      "Added documents 1550 to 1560\n",
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      "Added documents 6870 to 6880\n",
      "Added documents 6880 to 6890\n",
      "Added documents 6890 to 6900\n",
      "Added documents 6900 to 6910\n",
      "Added documents 6910 to 6920\n",
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      "Added documents 6950 to 6960\n",
      "Added documents 6960 to 6970\n",
      "Added documents 6970 to 6980\n",
      "Added documents 6980 to 6990\n",
      "Added documents 6990 to 7000\n",
      "Added documents 7000 to 7010\n",
      "Added documents 7010 to 7020\n",
      "Added documents 7020 to 7030\n",
      "Added documents 7030 to 7040\n",
      "Added documents 7040 to 7050\n",
      "Added documents 7050 to 7060\n",
      "Added documents 7060 to 7070\n",
      "Added documents 7070 to 7080\n",
      "Added documents 7080 to 7090\n",
      "Added documents 7090 to 7100\n",
      "Added documents 7100 to 7110\n",
      "Added documents 7110 to 7120\n",
      "Added documents 7120 to 7130\n",
      "Added documents 7130 to 7140\n",
      "Added documents 7140 to 7150\n",
      "Added documents 7150 to 7160\n",
      "Added documents 7160 to 7170\n",
      "Added documents 7170 to 7180\n",
      "Added documents 7180 to 7190\n",
      "Added documents 7190 to 7200\n",
      "Added documents 7200 to 7210\n",
      "Added documents 7210 to 7220\n",
      "Added documents 7220 to 7230\n",
      "Added documents 7230 to 7240\n"
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       " 'e5fe53bb-765e-4314-8d12-37d6b6ab89d5',\n",
       " '6aa1bab0-cf17-4565-9ea2-67328e4b1972',\n",
       " 'a183c8c0-460e-4178-9dbe-d88e585a3a39',\n",
       " '8826e6c3-27e6-4a27-9660-347618783dae',\n",
       " 'b04ab2e0-b434-4379-a100-2c68fc2674fb',\n",
       " 'e816da52-b0fc-4555-a24c-e9be3b9cd1d6',\n",
       " 'a3601d21-4370-41d8-a3c9-302d4f4af712',\n",
       " ...]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embeddings = OpenAIEmbeddings(model=\"text-embedding-3-large\")\n",
    "new_client = chromadb.PersistentClient()\n",
    "chroma = Chroma(\n",
    "    client=new_client,\n",
    "    collection_name=\"strains\",\n",
    "    embedding_function=embeddings,\n",
    ")\n",
    "\n",
    "add_documents_to_chroma(docs, chroma, sleep_time=1)\n"
   ]
  }
 ],
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