split notebooks

Lettria · Dec 8, 2023 · bf5fecb · bf5fecb
1 parent 5db7d81
commit bf5fecb
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diff --git a/text-to-graph-custom-ontology/document_to_graph.ipynb b/text-to-graph-custom-ontology/document_to_graph.ipynb
@@ -1,82 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Send ontology file for importation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import requests\n",
-    "\n",
-    "app_api_host = 'https://api.app.lettria.com'\n",
-    "file_name = 'ontology.owl'\n",
-    "file_location = './data/'\n",
-    "api_route = app_api_host + '/app/knowledge/import'\n",
-    "jwt_token_file = 'jwt_token.txt'\n",
-    "jwt_token = open(jwt_token_file, 'r').read()\n",
-    "knowlede_id = None\n",
-    "\n",
-    "with open(file_location + file_name, 'rb') as file:\n",
-    "    response = requests.post(\n",
-    "        api_route,\n",
-    "        files=[('file', ( file_name, file, \"application/rdf+xml\"))],\n",
-    "        headers={\"Authorization\":\"LettriaProKey \" + jwt_token}\n",
-    "    )\n",
-    "    print(response.json())\n",
-    "    knowlede_id = response.json()['knowledgeId']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Polling to wait for the end of the import"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "SUCCESS         \r"
-     ]
-    }
-   ],
-   "source": [
-    "import time\n",
-    "import requests\n",
-    "\n",
-    "api_route = app_api_host + '/app/knowledge/read'\n",
-    "importation_is_finished = False\n",
-    "\n",
-    "knowledge = None\n",
-    "importation_status = None\n",
-    "while not importation_is_finished:\n",
-    "    response = requests.post(\n",
-    "        api_route,\n",
-    "        headers={\"Authorization\":\"LettriaProKey \" + jwt_token}\n",
-    "    ).json()\n",
-    "    imported_knowledge = next((item for item in response['documents'] if item[\"_id\"] == knowlede_id), None)\n",
-    "    importation_status = imported_knowledge.get('importationStatus')\n",
-    "    print(importation_status + \"      \", end='\\r')\n",
-    "    importation_is_finished = importation_status != 'PROCESSING'\n",
-    "    time.sleep(1)\n",
-    "if importation_status != 'SUCCESS':\n",
-    "    print('Importation failed')\n",
-    "    exit(1)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},