File size: 2,521 Bytes
9002555
 
 
 
d57efd6
9002555
 
 
 
d57efd6
9002555
 
 
 
 
d57efd6
9002555
 
 
 
 
d57efd6
9002555
 
d57efd6
9002555
 
 
 
 
 
 
 
 
 
0767396
9002555
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0767396
 
9002555
0767396
 
9002555
0767396
 
9002555
 
 
 
0767396
9002555
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "work_directory = r\"D:\\Project_Multimedika\\Projek_2\\fullstack_summarizer_and_bot_development\\backend\"\n",
    "os.chdir(work_directory)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\Project_Multimedika\\\\Projek_2\\\\fullstack_summarizer_and_bot_development\\\\backend'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pinecone.core.openapi.data.model.query_response.QueryResponse'>\n",
      "pinecone database deleted\n"
     ]
    }
   ],
   "source": [
    "# pip install \"pinecone[grpc]\"\n",
    "from pinecone.grpc import PineconeGRPC as Pinecone\n",
    "from dotenv import load_dotenv\n",
    "import os\n",
    "import random\n",
    "\n",
    "load_dotenv()\n",
    "\n",
    "# api_key = os.getenv(\"PINECONE_API_KEY\")\n",
    "api_key = \"pcsk_aZM8H_P9cK1nfUghBNJfiAhvRM6zgfgiBsHhtJDwydZaXZp47pKSQBFP6J7rmVPwqDYHW\"\n",
    "pc = Pinecone(api_key=api_key)\n",
    "# index = pc.Index(\"summarizer-semantic-index\")\n",
    "index = pc.Index(\"multimedika\")\n",
    "\n",
    "# random_vector = [random.uniform(0, 1) for _ in range(1536)]\n",
    "random_vector = [random.uniform(0, 1) for _ in range(768)]\n",
    "results = index.query(\n",
    "    vector=random_vector,\n",
    "    top_k=10000,\n",
    "    filter={\n",
    "        \"url\": {\"$eq\": \"test\"},\n",
    "    },\n",
    ")\n",
    "\n",
    "ids = set()\n",
    "print(type(results))\n",
    "for result in results['matches']:\n",
    "    ids.add(result['id'])\n",
    "    \n",
    "index.delete(ids=ids)\n",
    "print(\"pinecone database deleted\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "fullstack",
   "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": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}