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			97 lines
		
	
	
		
			4.4 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			97 lines
		
	
	
		
			4.4 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
| {
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|  "cells": [
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|   {
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|    "attachments": {},
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|    "cell_type": "markdown",
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|    "metadata": {},
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|    "source": [
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|     "# Datadog Logs\n",
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|     "\n",
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|     ">[Datadog](https://www.datadoghq.com/) is a monitoring and analytics platform for cloud-scale applications.\n",
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|     "\n",
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|     "This loader fetches the logs from your applications in Datadog using the `datadog_api_client` Python package. You must initialize the loader with your `Datadog API key` and `APP key`, and you need to pass in the query to extract the desired logs."
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": null,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "from langchain.document_loaders import DatadogLogsLoader"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": null,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "#!pip install datadog-api-client"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": null,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "query = \"service:agent status:error\"\n",
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|     "\n",
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|     "loader = DatadogLogsLoader(\n",
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|     "    query=query,\n",
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|     "    api_key=DD_API_KEY,\n",
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|     "    app_key=DD_APP_KEY,\n",
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|     "    from_time=1688732708951,  # Optional, timestamp in milliseconds\n",
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|     "    to_time=1688736308951,  # Optional, timestamp in milliseconds\n",
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|     "    limit=100,  # Optional, default is 100\n",
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|     ")"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 11,
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|    "metadata": {},
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|    "outputs": [
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|     {
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|      "data": {
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|       "text/plain": [
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|        "[Document(page_content='message: grep: /etc/datadog-agent/system-probe.yaml: No such file or directory', metadata={'id': 'AgAAAYkwpLImvkjRpQAAAAAAAAAYAAAAAEFZa3dwTUFsQUFEWmZfLU5QdElnM3dBWQAAACQAAAAAMDE4OTMwYTQtYzk3OS00MmJjLTlhNDAtOTY4N2EwY2I5ZDdk', 'status': 'error', 'service': 'agent', 'tags': ['accessible-from-goog-gke-node', 'allow-external-ingress-high-ports', 'allow-external-ingress-http', 'allow-external-ingress-https', 'container_id:c7d8ecd27b5b3cfdf3b0df04b8965af6f233f56b7c3c2ffabfab5e3b6ccbd6a5', 'container_name:lab_datadog_1', 'datadog.pipelines:false', 'datadog.submission_auth:private_api_key', 'docker_image:datadog/agent:7.41.1', 'env:dd101-dev', 'hostname:lab-host', 'image_name:datadog/agent', 'image_tag:7.41.1', 'instance-id:7497601202021312403', 'instance-type:custom-1-4096', 'instruqt_aws_accounts:', 'instruqt_azure_subscriptions:', 'instruqt_gcp_projects:', 'internal-hostname:lab-host.d4rjybavkary.svc.cluster.local', 'numeric_project_id:3390740675', 'p-d4rjybavkary', 'project:instruqt-prod', 'service:agent', 'short_image:agent', 'source:agent', 'zone:europe-west1-b'], 'timestamp': datetime.datetime(2023, 7, 7, 13, 57, 27, 206000, tzinfo=tzutc())}),\n",
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|        " Document(page_content='message: grep: /etc/datadog-agent/system-probe.yaml: No such file or directory', metadata={'id': 'AgAAAYkwpLImvkjRpgAAAAAAAAAYAAAAAEFZa3dwTUFsQUFEWmZfLU5QdElnM3dBWgAAACQAAAAAMDE4OTMwYTQtYzk3OS00MmJjLTlhNDAtOTY4N2EwY2I5ZDdk', 'status': 'error', 'service': 'agent', 'tags': ['accessible-from-goog-gke-node', 'allow-external-ingress-high-ports', 'allow-external-ingress-http', 'allow-external-ingress-https', 'container_id:c7d8ecd27b5b3cfdf3b0df04b8965af6f233f56b7c3c2ffabfab5e3b6ccbd6a5', 'container_name:lab_datadog_1', 'datadog.pipelines:false', 'datadog.submission_auth:private_api_key', 'docker_image:datadog/agent:7.41.1', 'env:dd101-dev', 'hostname:lab-host', 'image_name:datadog/agent', 'image_tag:7.41.1', 'instance-id:7497601202021312403', 'instance-type:custom-1-4096', 'instruqt_aws_accounts:', 'instruqt_azure_subscriptions:', 'instruqt_gcp_projects:', 'internal-hostname:lab-host.d4rjybavkary.svc.cluster.local', 'numeric_project_id:3390740675', 'p-d4rjybavkary', 'project:instruqt-prod', 'service:agent', 'short_image:agent', 'source:agent', 'zone:europe-west1-b'], 'timestamp': datetime.datetime(2023, 7, 7, 13, 57, 27, 206000, tzinfo=tzutc())})]"
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|       ]
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|      },
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|      "execution_count": 11,
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|      "metadata": {},
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|      "output_type": "execute_result"
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|     }
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|    ],
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|    "source": [
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|     "documents = loader.load()\n",
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|     "documents"
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|    ]
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|   }
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|  ],
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|  "metadata": {
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|   "kernelspec": {
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|    "display_name": ".venv",
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|    "language": "python",
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|    "name": "python3"
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|   },
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|   "language_info": {
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|    "codemirror_mode": {
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|     "name": "ipython",
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|     "version": 3
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|    },
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|    "file_extension": ".py",
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|    "mimetype": "text/x-python",
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|    "name": "python",
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|    "nbconvert_exporter": "python",
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|    "pygments_lexer": "ipython3",
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|    "version": "3.9.11"
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|   },
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|   "orig_nbformat": 4
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|  },
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|  "nbformat": 4,
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|  "nbformat_minor": 2
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| }
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