1492 lines
135 KiB
Text
Vendored
1492 lines
135 KiB
Text
Vendored
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "25cf0a40e669a70",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Understanding Ontologies with Cognee\n",
|
||
"\n",
|
||
"This notebook demonstrates how to work with ontologies in scientific research using the Cognee framework. We'll explore how ontologies can enhance our understanding and querying of scientific papers.\n",
|
||
"\n",
|
||
"## What is an Ontology?\n",
|
||
"\n",
|
||
"An ontology is a formal representation of knowledge that defines:\n",
|
||
"- Concepts within a domain\n",
|
||
"- Relationships between concepts\n",
|
||
"- Properties and attributes\n",
|
||
"- Rules and constraints\n",
|
||
"\n",
|
||
"Key terms:\n",
|
||
"- **Classes**: Categories or types (e.g., Disease, Symptom)\n",
|
||
"- **Instances**: Specific examples of classes (e.g., Type 2 Diabetes)\n",
|
||
"- **Properties**: Relationships between classes/instances (e.g., hasSymptom)\n",
|
||
"- **Axioms**: Logical statements defining relationships"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "441248da37f2b901",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Setup\n",
|
||
"\n",
|
||
"First, let's install the required packages and set up our environment:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"id": "8cf7ba29f9a150af",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-03-26T16:17:55.937140Z",
|
||
"start_time": "2025-03-26T16:17:55.908542Z"
|
||
}
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Install required package\n",
|
||
"# !pip install cognee"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"id": "d825d126b3a0ec26",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-03-26T16:18:09.382400Z",
|
||
"start_time": "2025-03-26T16:18:09.342349Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:14.988241\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mDeleted old log file: /Users/daulet/Desktop/dev/cognee-claude/logs/2025-08-26_12-45-20.log\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"/Users/daulet/Desktop/dev/cognee-claude/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
|
||
" from .autonotebook import tqdm as notebook_tqdm\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:16.002327\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mLogging initialized \u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m \u001b[36mcognee_version\u001b[0m=\u001b[35m0.2.4-local\u001b[0m \u001b[36mdatabase_path\u001b[0m=\u001b[35m/Users/daulet/Desktop/dev/cognee-claude/cognee/.cognee_system/databases\u001b[0m \u001b[36mgraph_database_name\u001b[0m=\u001b[35m\u001b[0m \u001b[36mos_info\u001b[0m=\u001b[35m'Darwin 24.5.0 (Darwin Kernel Version 24.5.0: Tue Apr 22 19:54:43 PDT 2025; root:xnu-11417.121.6~2/RELEASE_ARM64_T8132)'\u001b[0m \u001b[36mpython_version\u001b[0m=\u001b[35m3.12.7\u001b[0m \u001b[36mrelational_config\u001b[0m=\u001b[35mcognee_db\u001b[0m \u001b[36mstructlog_version\u001b[0m=\u001b[35m25.4.0\u001b[0m \u001b[36mvector_config\u001b[0m=\u001b[35mlancedb\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:16.003141\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mDatabase storage: /Users/daulet/Desktop/dev/cognee-claude/cognee/.cognee_system/databases\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Import required libraries\n",
|
||
"import os\n",
|
||
"import cognee\n",
|
||
"from cognee.shared.logging_utils import get_logger\n",
|
||
"from cognee.api.v1.search import SearchType\n",
|
||
"\n",
|
||
"logger = get_logger()\n",
|
||
"\n",
|
||
"# Set up OpenAI API key (required for Cognee's LLM functionality)\n",
|
||
"if \"LLM_API_KEY\" not in os.environ:\n",
|
||
" os.environ[\"LLM_API_KEY\"] = \"your-api-key-here\" # Replace with your API key"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6af350837e86b7a1",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Creating the Pipeline\n",
|
||
"\n",
|
||
"Let's create a pipeline that will:\n",
|
||
"1. Clean existing data\n",
|
||
"2. Process scientific papers\n",
|
||
"3. Apply ontological knowledge"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 2,
|
||
"id": "4d0e4a58e4207a7d",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-09T17:12:54.006718Z",
|
||
"start_time": "2025-04-09T17:12:53.992906Z"
|
||
}
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"async def run_pipeline(ontology_path=None):\n",
|
||
" # Clean existing data\n",
|
||
" await cognee.prune.prune_data()\n",
|
||
" await cognee.prune.prune_system(metadata=True)\n",
|
||
" \n",
|
||
" # Set up path to scientific papers\n",
|
||
" scientific_papers_dir = os.path.join(\n",
|
||
" os.path.dirname(os.path.dirname(os.path.abspath(\".\"))), \n",
|
||
" \"cognee\",\n",
|
||
" \"examples\",\n",
|
||
" \"data\", \n",
|
||
" \"scientific_papers/\"\n",
|
||
" )\n",
|
||
" \n",
|
||
" # Add papers to the system\n",
|
||
" await cognee.add(scientific_papers_dir)\n",
|
||
" \n",
|
||
" # Cognify with optional ontology\n",
|
||
" return await cognee.cognify(ontology_file_path=ontology_path)\n",
|
||
"\n",
|
||
"async def query_pipeline(questions):\n",
|
||
" answers = []\n",
|
||
" for question in questions:\n",
|
||
" search_results = await cognee.search(\n",
|
||
" query_type=SearchType.GRAPH_COMPLETION,\n",
|
||
" query_text=question,\n",
|
||
" )\n",
|
||
" answers.append(search_results)\n",
|
||
" return answers"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c87c21a75d6f4d79",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Running the Demo\n",
|
||
"\n",
|
||
"Let's test our system with some medical questions, comparing results with and without ontological knowledge:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 3,
|
||
"id": "1363772d2b48f5c0",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-09T17:14:31.818452Z",
|
||
"start_time": "2025-04-09T17:12:55.491598Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"--- Results WITH ontology ---\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:26.484857\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mDeleted Kuzu database files at /Users/daulet/Desktop/dev/cognee-claude/cognee/.cognee_system/databases/cognee_graph_kuzu\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:26.852005\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mDatabase deleted successfully.\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[1mLangfuse client is disabled since no public_key was provided as a parameter or environment variable 'LANGFUSE_PUBLIC_KEY'. See our docs: https://langfuse.com/docs/sdk/python/low-level-sdk#initialize-client\u001b[0m\n",
|
||
"\u001b[92m14:37:27 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"User af34782a-1cf6-4632-8a3a-de25f57af415 has registered.\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"\u001b[1mEmbeddingRateLimiter initialized: enabled=False, requests_limit=60, interval_seconds=60\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:31.914752\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run started: `49b3ca10-a420-5f3d-b7c1-88e5074b4697`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.111670\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.294058\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.517354\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mRegistered loader: pypdf_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.518091\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mRegistered loader: text_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.519003\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mRegistered loader: image_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.519414\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mRegistered loader: audio_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.519853\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mRegistered loader: unstructured_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.522891\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mReading PDF: /Users/daulet/Desktop/dev/cognee/examples/data/scientific_papers/nutrients-13-01241.pdf\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.external.pypdf_loader\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.656457\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:32.817839\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:33.014369\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run completed: `49b3ca10-a420-5f3d-b7c1-88e5074b4697`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:33.174721\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run started: `49b3ca10-a420-5f3d-b7c1-88e5074b4697`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:33.343251\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:33.541023\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:33.718918\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mReading PDF: /Users/daulet/Desktop/dev/cognee/examples/data/scientific_papers/TOJ-22-0073_152Mendoza.pdf\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.external.pypdf_loader\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:33.827021\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:34.066870\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:34.216488\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run completed: `49b3ca10-a420-5f3d-b7c1-88e5074b4697`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:34.416238\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mOntology file 'examples/python/ontology_input_example/enriched_medical_ontology_with_classes.owl' not found. No owl ontology will be attached to the graph.\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:34.446910\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run started: `0777e6d7-7d59-5c50-9970-c0f3cc61ad17`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:34.595357\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:34.745824\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:34.922225\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:37:35.152064\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:37:35 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:37:35 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:37:35 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.979669\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.980959\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coffee consumption and all-cause, cardiovascular, and cancer mortality in an adult mediterranean population' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.981373\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.981688\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'laura torres-collado' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.982010\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'laura maría compañ-gabucio' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.982248\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'sandra gonzález-palacios' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.982524\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'leyre notario-barandiaran' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.982826\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'alejandro oncina-cánovas' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.983093\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'jesús vioque' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.983411\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'manuela garcía-de la hera' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.983715\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'journal' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.983916\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'nutrients' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.984159\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'identifier' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.984540\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '10.3390/nu13041241' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.984791\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'study' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.985029\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'valencia nutrition survey 1994' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.985265\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'location' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.985494\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'valencia spain' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.985743\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'metric' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.985984\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '1567 participants' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.986218\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.986402\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '1994' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.986678\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '2012' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.986931\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '18 years' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.987142\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '317 deaths' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.987368\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '115 cvd deaths' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.987579\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '82 cancer deaths' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.987781\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.988025\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.988255\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'caffeinated coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.988463\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'decaffeinated coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.988680\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'non-drinker' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.988900\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '≤1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.989091\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '>1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.989241\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr all-cause ≤1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.989565\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr all-cause >1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.989790\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr cancer >1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.990193\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr caffeinated all-cause 12 years' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.990554\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr caffeinated all-cause 18 years' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.990913\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'valencia nutrition survey' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.991159\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'spain' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.991326\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cohort' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.991509\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cohort of 1567 participants' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.991682\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '6-year follow-up' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.991843\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '12-year follow-up' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.992094\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '18-year follow-up' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.992434\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'exposure' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.992626\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'total coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.992814\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'category' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.993560\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'non-drinkers' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.994015\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'up to 1 cup per day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.994265\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'more than 1 cup per day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.994535\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'outcome' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.994695\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'all-cause mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.995174\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular disease mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.995608\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cancer mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.996422\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'statistic' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.996852\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr all-cause 18yr <=1 cup' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.997429\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr all-cause 18yr >1 cup' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.998117\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr cancer 18yr >1 cup' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.998567\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr caffeinated all-cause 18yr' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.998936\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'decaffeinated no significant association' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.999428\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'moderate coffee consumption (1-6.5 cups/day)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:24.999813\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'all-cause mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.000380\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular disease mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.000897\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'valencian nutrition survey (vns)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.001368\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'nutrients 2021 publication' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.002073\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'moderate coffee associated with lower all-cause mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.003004\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'moderate coffee associated with lower cancer mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.003858\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'limitation' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.004856\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'small sample size' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.005713\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'no coffee preparation information' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.006065\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'volunteer response bias' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.006541\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'preexisting chronic illness confounding' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.006868\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'strength' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.007153\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'well-defined population' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.007442\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'trained fieldworkers' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.007667\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'standardized protocols and validated questionnaires' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.007921\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'prospective data collection' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.008426\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.008640\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'generalitat valenciana' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.009416\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'fondo investigacion sanitaria (fis)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.009743\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'instituto de salud carlos iii' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.010051\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'feder funds' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.010553\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hospital of san juan ethical committee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.010989\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'miguel hernandez university ethical committee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.011698\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'informed consent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.012903\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'data availability on request' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.014060\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'j.v.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.015064\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'm.g.-d.l.h.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.015627\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'l.t.-c.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.016207\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'l.m.c.-g.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.016647\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 's.g.-p.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.017039\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'l.n.-b.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.017346\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'a.o.-c.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:25.017938\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'publication date 2021' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:29.091175\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:39:29 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:39:29 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:39:29 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:42.154602\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:46.447966\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:46.593731\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:46.741331\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:46.892908\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:47.041862\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:47.189093\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:47.359462\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run completed: `0777e6d7-7d59-5c50-9970-c0f3cc61ad17`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:47.523959\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run started: `0777e6d7-7d59-5c50-9970-c0f3cc61ad17`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:47.675233\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:47.826574\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:48.003405\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:39:48.221678\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:39:48 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:39:48 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.905392\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.907628\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'impact of coffee consumption on cardiovascular health (ochsner journal 2023)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.908013\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.908484\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'michael f. mendoza' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.908766\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'ralf martz sulague' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.909072\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'therese posas-mendoza' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.909368\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'carl j. lavie' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.909752\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.910138\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.910410\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'compound' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.911344\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'caffeine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.913767\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cafestol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.915021\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'kahweol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.916064\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'chlorogenic acid' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.916634\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'phenolic acid' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.917565\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'boiled or unfiltered coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.918619\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'filtered coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.919556\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'decaffeinated coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.920353\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cyp1a2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.925672\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'disease' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.928353\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hypertension' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.929122\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coronary heart disease' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.929696\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'myocardial infarction' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.930682\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'heart failure' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.935900\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'atrial fibrillation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.938047\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.938643\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'study' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.939222\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'jee 1999' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.939575\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'jenner 1988' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.939862\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'miranda 2021' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.940109\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'harvest 2009' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.940295\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'post 1997' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.940473\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'uto-kondo 2010' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.940653\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'sarriá 2018' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.940898\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cornelis 2006' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.941088\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'grioni 2015' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.941318\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'sofi 2007' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.941590\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'zhou and hyppönen 2019' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.941778\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'mostofsky 2012' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.941955\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'stevens 2021' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.942127\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'bodar 2019' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.942290\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cheng 2014' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.942570\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'brown 2016' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.943233\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'beverage' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.943502\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'moderate coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.943762\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'high (heavy) coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.944006\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'polyphenol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.944230\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'trigonelline' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.944396\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'quinide' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.945138\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'magnesium' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.945698\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'boiled coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.946300\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'process' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.947076\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'antioxidant effects' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.947388\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'anti-inflammatory processes' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.947641\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'bile acid synthesis inhibition' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.948126\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hdl-mediated cholesterol efflux' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.949246\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular disease' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.951136\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'all-cause mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.951625\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'gene' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.951847\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cyp1a2 genotype' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.952130\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'smoking status' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.952385\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'ali-hassan-sayegh et al 2014' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.952620\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'ding et al 2015' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.952879\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'lopez-garcia et al 2008' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.953072\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'kim et al 2019' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.953262\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'framingham heart study (fhs)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.953465\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'boiled coffee effect on cholesterol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:00.953778\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'filtered coffee antiatherogenic effect' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:04.775775\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:41:04 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:41:04 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:16.909016\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:23.405479\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:23.551481\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:23.704043\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:23.866120\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:24.016613\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:24.178170\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:24.349765\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run completed: `0777e6d7-7d59-5c50-9970-c0f3cc61ad17`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:24.689399\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph projection completed: 170 nodes, 464 edges in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:25.111042\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.03s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:41:25 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:34.706451\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph projection completed: 170 nodes, 464 edges in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:35.190814\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.02s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:41:35 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:46.935908\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph projection completed: 170 nodes, 464 edges in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:41:47.406589\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.02s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:41:47 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:04.430219\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph projection completed: 170 nodes, 464 edges in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:04.929193\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:42:05 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Q: What are common risk factors for Type 2 Diabetes?\n",
|
||
"A: ['Preparing brief answer using the provided context.']\n",
|
||
"\n",
|
||
"Q: What preventive measures reduce the risk of Hypertension?\n",
|
||
"A: ['Preparing a brief evidence-based answer from the provided context about measures that reduce risk of hypertension.']\n",
|
||
"\n",
|
||
"Q: What symptoms indicate possible Cardiovascular Disease?\n",
|
||
"A: ['Acknowledged.']\n",
|
||
"\n",
|
||
"Q: What diseases are associated with Obesity?\n",
|
||
"A: ['Acknowledged.']\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Test questions\n",
|
||
"questions = [\n",
|
||
" \"What are common risk factors for Type 2 Diabetes?\",\n",
|
||
" \"What preventive measures reduce the risk of Hypertension?\",\n",
|
||
" \"What symptoms indicate possible Cardiovascular Disease?\",\n",
|
||
" \"What diseases are associated with Obesity?\"\n",
|
||
"]\n",
|
||
"\n",
|
||
"# Path to medical ontology\n",
|
||
"ontology_path = \"examples/python/ontology_input_example/enriched_medical_ontology_with_classes.owl\" # Update with your ontology path\n",
|
||
"\n",
|
||
"# Run with ontology\n",
|
||
"print(\"\\n--- Results WITH ontology ---\\n\")\n",
|
||
"await run_pipeline(ontology_path=ontology_path)\n",
|
||
"answers_with = await query_pipeline(questions)\n",
|
||
"for q, a in zip(questions, answers_with):\n",
|
||
" print(f\"Q: {q}\\nA: {a}\\n\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"id": "3aa18f4cdd5ceff6",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-09T14:32:24.891560Z",
|
||
"start_time": "2025-04-09T14:30:47.863808Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:17.046125\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mDeleted Kuzu database files at /Users/daulet/Desktop/dev/cognee-claude/cognee/.cognee_system/databases/cognee_graph_kuzu\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:17.139414\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mDatabase deleted successfully.\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"--- Results WITHOUT ontology ---\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:17.270853\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run started: `ab71824c-9eb0-5863-a3a2-0bfd328f0f8f`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:17.424882\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"User cbbb7ebc-556b-428f-9cf9-55bc1a277254 has registered.\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:17.573292\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:17.752197\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mReading PDF: /Users/daulet/Desktop/dev/cognee/examples/data/scientific_papers/nutrients-13-01241.pdf\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.external.pypdf_loader\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:17.879186\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:18.016115\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:18.164058\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run completed: `ab71824c-9eb0-5863-a3a2-0bfd328f0f8f`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:18.334120\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run started: `ab71824c-9eb0-5863-a3a2-0bfd328f0f8f`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:18.486127\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:18.628970\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:18.801360\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mReading PDF: /Users/daulet/Desktop/dev/cognee/examples/data/scientific_papers/TOJ-22-0073_152Mendoza.pdf\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.external.pypdf_loader\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:18.908548\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:19.047269\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:19.190568\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run completed: `ab71824c-9eb0-5863-a3a2-0bfd328f0f8f`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:19.357382\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mOntology file 'None' not found. No owl ontology will be attached to the graph.\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:19.386538\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run started: `b255fc1d-2d5b-51c5-b36a-28262bb970a5`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:19.538272\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:19.950142\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:20.106539\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:42:20.292885\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:42:20 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:42:20 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:42:20 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.119474\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.122494\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coffee consumption and all-cause, cardiovascular, and cancer mortality in an adult mediterranean population' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.122927\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.123301\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'laura torres-collado' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.123589\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'laura maría compañ-gabucio' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.123892\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'sandra gonzález-palacios' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.124198\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'leyre notario-barandiaran' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.124537\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'alejandro oncina-cánovas' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.124855\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'jesús vioque' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.125120\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'manuela garcía-de la hera' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.125372\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.125654\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'instituto de investigación sanitaria y biomédica de alicante (isabial-umh)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.125943\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'universidad miguel hernández (umh)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.126125\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'study' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.126331\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'valencia nutrition survey' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.126589\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.127058\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '1994' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.127296\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '18 years follow-up' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.127528\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'method' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.127803\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'food frequency questionnaire' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.128045\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'food' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.128287\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'caffeinated coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.128567\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'decaffeinated coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.128799\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'metric' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.129018\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'total coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.129220\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'study population 1567 adults' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.129460\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'outcome' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.129698\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'all-cause mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.129926\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.130167\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cancer mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.130406\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'statistic' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.130630\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hazard ratio all-cause <=1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.130883\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hazard ratio all-cause >1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.131044\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hazard ratio cancer >1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.131246\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hazard ratio caffeinated 12 years' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.131435\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hazard ratio caffeinated 18 years' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.131631\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'nutrients' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.132150\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'location' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.132310\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'valencia, spain' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.132723\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'valencia nutrition survey' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.132953\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'exposure' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.133131\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.133377\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'all-cause mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.133575\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular disease mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.133795\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cancer mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.133982\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'follow-up 6 years' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.134154\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'follow-up 12 years' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.134349\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'follow-up 18 years' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.134519\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr all-cause 6y >1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.134774\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr all-cause 12y >1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.135108\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr all-cause 18y ≤1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.135384\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr all-cause 18y >1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.135669\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr cancer 18y >1 cup/day' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.135931\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hr caffeinated all-cause 18y' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.136107\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'figure' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.136294\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'figure 1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.138388\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'table' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.138958\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'table 2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.139300\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'table 3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.140243\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.141152\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'unfiltered coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.141440\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'moderate coffee consumption (1–6.5 cups/day)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.141668\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'all-cause mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.141858\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular disease mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.142035\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'vns study' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.142260\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'population' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.142538\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'valencian adult population' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.142733\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'baseline self-report' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.142918\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'study_feature' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.143169\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'long follow-up period' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.144208\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'limitation' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.146800\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'small sample size' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.148681\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'pre-existing chronic disease' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.149240\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'analysis' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.151022\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'excluding deaths in the first and second year' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.152981\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coffee preparation method not collected' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.154280\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'spain' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.157482\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'mediterranean lifestyle' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.157941\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'funding' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.163422\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'funding sources' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.165738\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'ethics' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.169106\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'ethical approval' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.170720\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'policy' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.171293\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'data availability' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.171614\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'finding' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.171849\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'associations unchanged after excluding early deaths' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.172191\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'j.v.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.172428\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'm.g.-d.l.h.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.172619\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'l.t.-c.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.172918\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'l.m.c.-g.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.173120\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 's.g.-p.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.173272\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'l.n.-b.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:29.173510\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'a.o.-c.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:34.235408\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:43:34 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:43:34 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:43:34 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:49.801524\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:54.774594\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:54.952836\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:55.105797\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:55.244447\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:55.395452\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:55.539861\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:55.690061\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run completed: `b255fc1d-2d5b-51c5-b36a-28262bb970a5`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:55.873677\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run started: `b255fc1d-2d5b-51c5-b36a-28262bb970a5`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:56.025990\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:56.169166\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:56.341935\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:43:56.531753\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:43:56 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:43:56 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.808776\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'substance' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.811704\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.812785\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'caffeine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.813409\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'boiled coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.813786\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'filtered coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.814115\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cafestol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.814433\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'kahweol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.814751\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'phenolic acid' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.815097\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'protein' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.815341\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'abcg1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.815632\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'sr-bi' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.816005\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'biomarker' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.816367\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cholesterol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.816661\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hdl' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.816965\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'disease' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.817263\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hypertension' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.817539\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'measurement' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.817831\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'blood pressure' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.818122\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'heart failure' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.818358\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'atrial fibrillation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.818606\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'coronary heart disease' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.818874\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'myocardial infarction' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.819194\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'outcome' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.819569\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.819781\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'enzyme' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.820018\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cyp1a2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.820285\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'variant' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.820528\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cyp1a2*1f' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.820791\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cyp1a2*1a' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.821038\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'behavior' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.821304\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'smoking' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.821550\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'state' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.821776\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'pregnancy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.821971\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'guideline' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.822241\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for '300 mg caffeine per day guideline' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.822503\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'green coffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.822746\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'study' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.823011\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'mendoza et al 2023' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.823231\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cornelis et al 2006' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.823520\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'mostofsky et al 2012' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.823759\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'bodar et al 2019' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.823970\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'stevens et al 2021' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.824435\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'compound' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.824615\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'polyphenol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.824848\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'trigonelline' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.825106\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'chlorogenic acid' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.825312\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'quinide' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.825599\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'ferulic acid' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.825856\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'p-coumaric acid' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.826065\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'mineral' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.826268\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'magnesium' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.826516\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'n-acetylcysteine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.826754\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'polyunsaturated fatty acids' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.826962\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'biological_process' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.831202\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'anti-inflammatory processes' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.831539\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'all-cause mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.831809\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular disease mortality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.832041\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'preparation' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.832294\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'hdl-mediated cholesterol efflux' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.832576\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'gene' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.832870\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cyp1a2 genotype' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.833074\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'smoking status' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.833334\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'consumptionlevel' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.833545\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'moderate coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.833938\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'high coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.834315\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'meta_analysis' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.834516\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'ali-hassan-sayegh et al 2014' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.834735\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'ding et al 2015' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.834977\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'lopez-garcia et al 2008' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.835179\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'de koning gans et al 2010' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.835438\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'andersen et al 2006' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.836010\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'kleemola et al 2000' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.836242\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'kim et al 2019' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.836647\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'framingham heart study' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.836933\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardiovascular health study' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.837359\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'atherosclerosis risk in communities study' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.837810\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'physicians health study' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:26.838177\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mNo close match found for 'cardia study' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:31.122928\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:45:31 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\u001b[92m14:45:31 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:43.793543\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:48.632018\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:48.784320\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:48.942072\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:49.096404\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:49.251314\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:49.411272\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:49.563539\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mPipeline run completed: `b255fc1d-2d5b-51c5-b36a-28262bb970a5`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:50.149392\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph projection completed: 178 nodes, 445 edges in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:50.682374\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.02s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:45:50 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:58.803572\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph projection completed: 178 nodes, 445 edges in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:45:59.339015\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:45:59 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:46:11.327531\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph projection completed: 178 nodes, 445 edges in 0.02s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:46:11.815541\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.02s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:46:11 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:46:21.754939\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph projection completed: 178 nodes, 445 edges in 0.01s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:46:22.332430\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.02s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\u001b[92m14:46:22 - LiteLLM:INFO\u001b[0m: utils.py:3341 - \n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\n",
|
||
"\n",
|
||
"\u001b[1m\n",
|
||
"LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Q: What are common risk factors for Type 2 Diabetes?\n",
|
||
"A: ['Using provided context to prepare a brief answer about common Type 2 diabetes risk factors.']\n",
|
||
"\n",
|
||
"Q: What preventive measures reduce the risk of Hypertension?\n",
|
||
"A: ['Preparing a brief, context-based answer on preventive measures that reduce risk of hypertension.']\n",
|
||
"\n",
|
||
"Q: What symptoms indicate possible Cardiovascular Disease?\n",
|
||
"A: ['Common symptoms that can indicate possible cardiovascular disease:\\n- Chest pain, pressure, squeezing or discomfort (angina)\\n- Shortness of breath or difficulty breathing\\n- Palpitations, an irregular or fast heartbeat (possible atrial fibrillation)\\n- Lightheadedness, dizziness, or fainting (syncope)\\n- Unexplained fatigue or reduced exercise tolerance\\n- Swelling in the legs, ankles or abdomen (fluid retention/heart failure)\\n- Sudden weakness, numbness, slurred speech, or vision changes (possible stroke)\\n\\nIf someone has chest pain, sudden severe shortness of breath, fainting, or stroke-like symptoms, seek emergency care immediately.']\n",
|
||
"\n",
|
||
"Q: What diseases are associated with Obesity?\n",
|
||
"A: ['Type 2 diabetes; hypertension; coronary heart disease and other cardiovascular diseases (atherosclerosis, heart failure, atrial fibrillation); certain cancers; and increased all‑cause mortality.']\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Run without ontology\n",
|
||
"print(\"\\n--- Results WITHOUT ontology ---\\n\")\n",
|
||
"await run_pipeline()\n",
|
||
"answers_without = await query_pipeline(questions)\n",
|
||
"for q, a in zip(questions, answers_without):\n",
|
||
" print(f\"Q: {q}\\nA: {a}\\n\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c60533d2423acdb0",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Visualizing the Knowledge Graph\n",
|
||
"\n",
|
||
"Let's visualize how our ontology connects different medical concepts:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"id": "36ee2a360f47a054",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-09T15:25:33.512697Z",
|
||
"start_time": "2025-04-09T15:25:33.471854Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:46:35.623071\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mGraph visualization saved as /Users/daulet/graph_visualization.html\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
|
||
"\n",
|
||
"\u001b[2m2025-08-27T13:46:35.626149\u001b[0m [\u001b[32m\u001b[1minfo \u001b[0m] \u001b[1mThe HTML file has been stored on your home directory! Navigate there with cd ~\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"'/Users/daulet/graph_visualization.html'"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"True"
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"import webbrowser\n",
|
||
"import os\n",
|
||
"from cognee.api.v1.visualize.visualize import visualize_graph\n",
|
||
"html = await visualize_graph()\n",
|
||
"home_dir = os.path.expanduser(\"~\")\n",
|
||
"html_file = os.path.join(home_dir, \"graph_visualization.html\")\n",
|
||
"display(html_file)\n",
|
||
"webbrowser.open(f\"file://{html_file}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ff39326921b75273",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Understanding the Results\n",
|
||
"\n",
|
||
"The demonstration above shows how ontologies enhance our analysis by:\n",
|
||
"\n",
|
||
"1. **Making Connections**: \n",
|
||
" - Linking related medical concepts even when not explicitly stated\n",
|
||
" - Identifying relationships between symptoms, diseases, and risk factors\n",
|
||
"\n",
|
||
"2. **Standardizing Terms**: \n",
|
||
" - Unifying different ways of referring to the same medical condition\n",
|
||
" - Ensuring consistent terminology across documents\n",
|
||
"\n",
|
||
"3. **Enabling Inference**: \n",
|
||
" - Drawing conclusions based on ontological relationships\n",
|
||
" - Discovering implicit connections in the data\n",
|
||
"\n",
|
||
"## Next Steps\n",
|
||
"\n",
|
||
"To learn more about Cognee and ontologies:\n",
|
||
"1. Check out the [Cognee documentation](https://docs.cognee.ai/)\n",
|
||
"2. Explore more examples in the `examples` directory\n",
|
||
"3. Try creating your own domain-specific ontology\n",
|
||
"\n",
|
||
"Remember to:\n",
|
||
"- Place your scientific papers in the appropriate directory\n",
|
||
"- Update the ontology path to point to your .owl file\n",
|
||
"- Replace the API key with your own OpenAI key"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "8d2a0fe555a7bc0f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "",
|
||
"evalue": "",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
|
||
"\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
|
||
"\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
|
||
"\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import os\n",
|
||
"os._exit(0)"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": ".venv",
|
||
"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": "3.12.7"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|