{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1f56ae3-a056-4b31-bcab-27c2c97c00f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "from rag.parser.pdf import parser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b5cb12e-df7e-4532-b78b-216e11ed6161",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = Path(\"/home/aktersnurra/projects/library/quant/math/a-signal-processing-perspective-on-financial-engineering.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e378ed2-e346-4360-8a8e-265f0f1d173d",
   "metadata": {},
   "outputs": [],
   "source": [
    "path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f1a57be8-21a2-48d3-b99f-d1bbf7b8780a",
   "metadata": {},
   "outputs": [],
   "source": [
    "chunks = parser(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b848627e-1e30-492a-ada6-a899112cd515",
   "metadata": {},
   "outputs": [],
   "source": [
    "chunks[32]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f01d39c-3310-4d6d-8b7b-f253975b5e37",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "type(chunks[32])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "49bf6768-1350-42ee-8526-2e6bee2dd7bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from rag.db.vector import VectorStore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98516091-7bc5-43c2-9aa7-967e63b795f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from rag.llms.encoder import Encoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14408e20-3dec-40b4-9dda-3397beb0c453",
   "metadata": {},
   "outputs": [],
   "source": [
    "encoder = Encoder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e94993c5-6b19-4bac-b7e8-c26a5200a626",
   "metadata": {},
   "outputs": [],
   "source": [
    "embs = encoder.encode([chunks[33].page_content])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b845bb31-0909-42cb-9957-9a8b3bb0b5c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "embs[0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aa279b1a-465e-4820-ab56-b25fc513c0a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "vec_db = VectorStore()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1dc655de-2359-42ce-b705-76ec06c5f72f",
   "metadata": {},
   "outputs": [],
   "source": [
    "vec_db.add(embs[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "117d3416-e79f-436f-a33e-ffb45b972b72",
   "metadata": {},
   "outputs": [],
   "source": [
    "q = \"the variance of the portfolio\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a6ef474-678c-4525-8dcb-ece67aa9c7ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "qe = encoder.query(q)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c8a16ba-6025-4a6e-95c2-bbba7a9a5de5",
   "metadata": {},
   "outputs": [],
   "source": [
    "s, i = vec_db.search(qe, 1)\n",
    "s,i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d5f4601-82b0-47b7-8c79-938435591b59",
   "metadata": {},
   "outputs": [],
   "source": [
    "embs[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e7a65b4d-7269-44bf-9b29-9ef0ee2b2052",
   "metadata": {},
   "outputs": [],
   "source": [
    "qe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "016bae35-e22b-4e13-9c1d-6fcd09a8ca9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import hashlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66f7fd80-a970-4ad9-b5c9-02ab2e39855b",
   "metadata": {},
   "outputs": [],
   "source": [
    "document = [chunk.page_content for chunk in chunks]\n",
    "text = str.encode(\"\".join(document))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9d385588-cdd5-4f8c-beae-31685a9f4c63",
   "metadata": {},
   "outputs": [],
   "source": [
    "type(hashlib.sha256(text).hexdigest())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c90dd20-c640-48b5-88c0-4ba93b60c5e6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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