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{
"cells": [
{
"cell_type": "code",
"execution_count": 138,
"id": "dca88210-18db-45ee-9949-7010b92dbae7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/jovyan\n"
]
}
],
"source": [
"import json\n",
"\n",
"# from json import JSONEncoder\n",
"import os\n",
"import pprint\n",
"\n",
"from gql import Client, gql\n",
"from gql.transport.requests import RequestsHTTPTransport\n",
"\n",
"cwd = os.getcwd()\n",
"print(cwd)"
]
},
{
"cell_type": "code",
"execution_count": 139,
"id": "7374f89e-23f8-407d-967b-c76e7d6d93a2",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"with open(\"scrubbed_records.json\") as f:\n",
" scrubbed_records = json.load(f)\n",
"# with open(\"keys.json\") as key1:\n",
"# keys = json.load(key1);\n",
"\n",
"# print(scrubbed_records[0])\n",
"\n",
"# d8 = keys | scrubbed_records\n",
"# print(d8)\n",
"# merged = {key: value for (key, value) in (keys.items() + scrubbed_records.items())}\n",
"# jsonString_merged ="
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f0367eee-e052-4184-b016-8ecb0dd1aa32",
"metadata": {
"tags": []
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 140,
"id": "4f03fbfe-147b-4011-b71f-b9031810aa44",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# print(jsonString_merged)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b2983b27-6169-4a16-bc70-adfe9b6023b0",
"metadata": {},
"outputs": [],
"source": [
"sample_transport = RequestsHTTPTransport(\n",
" url=\"http://directus:8055/graphql\",\n",
" use_json=True,\n",
" headers={\n",
" \"Content-type\": \"application/json\",\n",
" \"Authorization\": \"os.env(directus_token)\",\n",
" },\n",
" verify=True,\n",
" retries=3,\n",
")\n",
"\n",
"client = Client(\n",
" transport=sample_transport,\n",
" fetch_schema_from_transport=True,\n",
")\n",
"\n",
"job_posts = gql(\n",
" \"\"\"\n",
"mutation{\n",
" update_job_posts_item(id: ______, data: ______){\n",
" id\n",
" status\n",
" sort\n",
" date_created\n",
" date_updated\n",
" json_object\n",
" }\n",
"}\n",
"\"\"\"\n",
")\n",
"\n",
"\n",
"y = json.dumps(scrubbed_records)\n",
"for x in y:\n",
"\n",
" # ef = x.loads()\n",
" # print(x)\n",
" # id = x[\"article_attributes_data-listing-version-key\"]\n",
" # pairs = y.items()\n",
" pprint.pprint(x)\n",
"# print(y)\n",
"# id = y[\"article_attributes_data-listing-version-key\"]\n",
"# print(id)\n",
"# data = y[scrubbed_record]\n",
"# print(scrubbed_record)\n",
"\n",
"\n",
"# Mutation ($data: JSON!) {\n",
"# update_job_blocks_item(\n",
"# id: \"ziprecruiter\"\n",
"# data: {\n",
"# title: $title\n",
"# }\n",
"# )\n",
"# }\n",
"\n",
"# title = 'article_attributes_data-posted-on'\n",
"# \"article_attributes_data-posted-on\": \"Capital One\",\n",
"# \"article_attributes_data-listing-version-key\": \"DwJbw6IxmCHCl9sUWenVkQ.--M7HviTGj7\",\n",
"# \"article_attributes_data-job-id\": \"tmp_dc_capitalone_tier2_perengo_cpc9e35f5e59e35f5e5-lzqj0cb\",\n",
"# \"article_attributes_data-location\": \"Royse City, TX\",\n",
"# \"article_attributes_data-lat\": 32.9751205444,\n",
"# \"article_attributes_data-lng\": -96.3324813843,\n",
"\n",
"# print(title)\n",
"\n",
"# params = { \"title\": article_attributes_data-posted-on }\n",
"\n",
"# result = client.execute(mutate, variable_values=params)"
]
},
{
"cell_type": "code",
"execution_count": 136,
"id": "28c500a2-becf-4d86-a88d-c1f30b3a5e99",
"metadata": {},
"outputs": [],
"source": [
"import pprint\n",
"\n",
"# print(result)\n",
"\n",
"# query = gql('''\n",
"# query {\n",
"# json_server_by_id(id: \"ziprecruiter\") {\n",
"# data\n",
"# }\n",
"# }\n",
"# ''')\n",
"\n",
"\n",
"# mutate = gql(\n",
"# \"\"\"\n",
"# mutation ($data: JSON!) {\n",
"# update_json_server_item(\n",
"# id: \"ziprecruiter\"\n",
"# data: {\n",
"# data: $data\n",
"# }\n",
"# ) {\n",
"# data\n",
"# }\n",
"# }\n",
"# \"\"\"\n",
"# )\n",
"\n",
"# add = gql(\n",
"# \"\"\"\n",
"# mutation ($create_test_data: [create_test_input!]) {\n",
"# create_test_items( data: $create_test_data ) {\n",
"# id\n",
"# json_object\n",
"# }\n",
"# }\n",
"# \"\"\"\n",
"# )\n",
"# init = gql(\n",
"# \"\"\"\n",
"# mutation ($collection: String!, $data: !) {\n",
"# create_fields_item(collection: \"job_posts\", data: { field: \"title\", type: \"string\" ) {\n",
"# collection\n",
"# field\n",
"# }\n",
"# }\n",
"# \"\"\"\n",
"# )\n",
"\n",
"# test3 = { \"field\": \"title\", type: \"string\", \"meta\": { \"icon\": \"title\" }, \"schema\": { \"default_value\": \"null\" } }\n",
"\n",
"# params = {\"collection\": \"job_posts\", \"data\": test3}\n",
"\n",
"# result = client.execute(init, variable_values=params)\n",
"# # print(result)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2a52af9c-4127-4dbf-bac4-20086433fc80",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "f2b300a9-f7c0-4863-9696-29e92e6cedc8",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.12"
},
"toc-autonumbering": false,
"toc-showcode": false,
"toc-showtags": false,
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}