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| 1 | +- [Log Collection Guide](#log-collection-guide) |
| 2 | +- [Import Required Modules](#import-required-modules) |
| 3 | +- [Download and Start OpenSearch](#download-and-start-opensearch) |
| 4 | +- [Setup Connection with OpenSearch](#setup-connection-with-opensearch) |
| 5 | +- [Initialize Logger](#initialize-logger) |
| 6 | +- [Custom Handler For Logs](#custom-handler-for-logs) |
| 7 | +- [Create OpenSearch Handler and Add to Logger](#create-opensearch-handler-and-add-to-logger) |
| 8 | +- [Setup Asynchronous Logging Using Queues](#setup-asynchronous-logging-using-queues) |
| 9 | +- [Clean Up](#clean-up) |
| 10 | +- [Sample Code](#sample-code) |
| 11 | + |
| 12 | + |
| 13 | +## Log Collection Guide |
| 14 | +In this guide, we will look at how to collect logs from your application and send them to OpenSearch. |
| 15 | + |
| 16 | +## Import Required Modules |
| 17 | +Let's import the required modules: |
| 18 | + |
| 19 | +```python |
| 20 | +import logging |
| 21 | +import queue |
| 22 | +from datetime import datetime |
| 23 | +from logging.handlers import QueueHandler, QueueListener |
| 24 | +from typing import Any |
| 25 | + |
| 26 | +import urllib3 |
| 27 | + |
| 28 | +from opensearchpy import OpenSearch |
| 29 | + |
| 30 | +urllib3.disable_warnings() |
| 31 | +``` |
| 32 | + |
| 33 | +## Download and Start OpenSearch |
| 34 | +``` |
| 35 | +docker pull opensearchproject/opensearch:latest |
| 36 | +``` |
| 37 | + |
| 38 | +``` |
| 39 | +docker run -d -p 9200:9200 -p 9600:9600 --name opensearch_opensearch_1 -e "discovery.type=single-node" opensearchproject/opensearch:latest |
| 40 | +``` |
| 41 | + |
| 42 | +## Setup Connection with OpenSearch |
| 43 | + |
| 44 | +Create a client instance: |
| 45 | +```python |
| 46 | + opensearch_client: Any = OpenSearch( |
| 47 | + "https://admin:admin@localhost:9200", |
| 48 | + use_ssl=True, |
| 49 | + verify_certs=False, |
| 50 | + ssl_show_warn=False, |
| 51 | + http_auth=("admin", "admin"), |
| 52 | + ) |
| 53 | +``` |
| 54 | + |
| 55 | +## Initialize Logger |
| 56 | +Initialize a logger, named "OpenSearchLogs", that emits logs to OpenSearch, and a console handler, both set to the INFO level, are initialized. The console handler is then added to the logger. For every log line processed by this setup, a corresponding OpenSearch document is created. This approach supports structured and comprehensive logging because each document can include extensive metadata within it. |
| 57 | + |
| 58 | +```python |
| 59 | + # Initialize a logger named "OpenSearchLogs" for OpenSearch & set log level to INFO |
| 60 | + print("Initializing logger...") |
| 61 | + os_logger = logging.getLogger("OpenSearchLogs") |
| 62 | + os_logger.setLevel(logging.INFO) |
| 63 | + |
| 64 | + # Create a console handler |
| 65 | + console_handler = logging.StreamHandler() |
| 66 | + console_handler.setLevel(logging.INFO) |
| 67 | + |
| 68 | + # Add console handler to the logger |
| 69 | + os_logger.addHandler(console_handler) |
| 70 | +``` |
| 71 | + |
| 72 | +## Custom Handler For Logs |
| 73 | +Define a custom handler that logs to OpenSearch: |
| 74 | + |
| 75 | +```python |
| 76 | +class OpenSearchHandler(logging.Handler): |
| 77 | + # Initializer / Instance attributes |
| 78 | + def __init__(self, opensearch_client): |
| 79 | + logging.Handler.__init__(self) |
| 80 | + self.opensearch_client = opensearch_client |
| 81 | + |
| 82 | + # Build index name (e.g., "logs-YYYY-MM-DD") |
| 83 | + def _build_index_name(self): |
| 84 | + return f"logs-{datetime.date(datetime.now())}" |
| 85 | + |
| 86 | + # Emit logs to the OpenSearch cluster |
| 87 | + def emit(self, record): |
| 88 | + document = { |
| 89 | + "timestamp": datetime.fromtimestamp(record.created).isoformat(), |
| 90 | + "name": record.name, |
| 91 | + "level": record.levelname, |
| 92 | + "message": record.getMessage(), |
| 93 | + "source": { |
| 94 | + "file": record.pathname, |
| 95 | + "line": record.lineno, |
| 96 | + "function": record.funcName, |
| 97 | + }, |
| 98 | + "process": { |
| 99 | + "id": record.process, |
| 100 | + "name": record.processName |
| 101 | + }, |
| 102 | + "thread": { |
| 103 | + "id": record.thread, |
| 104 | + "name": record.threadName |
| 105 | + }, |
| 106 | + } |
| 107 | + |
| 108 | + # Write the log entry to OpenSearch, handle exceptions |
| 109 | + self.opensearch_client.index( |
| 110 | + index=self._build_index_name(), |
| 111 | + body=document, |
| 112 | + ) |
| 113 | +``` |
| 114 | + |
| 115 | +## Create OpenSearch Handler and Add to Logger |
| 116 | +Create an instance of OpenSearchHandler and add it to the logger: |
| 117 | + |
| 118 | +```python |
| 119 | + print("Creating an instance of OpenSearchHandler and adding it to the logger...") |
| 120 | + # Create an instance of OpenSearchHandler and add it to the logger |
| 121 | + os_handler = OpenSearchHandler(opensearch_client) |
| 122 | + os_logger.addHandler(os_handler) |
| 123 | +``` |
| 124 | + |
| 125 | +## Setup Asynchronous Logging Using Queues |
| 126 | +Finally, let's setup asynchronous logging using Queues: |
| 127 | + |
| 128 | +```python |
| 129 | + print("Setting up asynchronous logging using Queues...") |
| 130 | + # Setup asynchronous logging using Queues |
| 131 | + log_queue = queue.Queue(-1) # no limit on size |
| 132 | + os_queue_handler = QueueHandler(log_queue) |
| 133 | + os_queue_listener = QueueListener(log_queue, os_handler) |
| 134 | + |
| 135 | + # Add queue handler to the logger |
| 136 | + os_logger.addHandler(os_queue_handler) |
| 137 | + |
| 138 | + # Start listening on the queue using the os_queue_listener |
| 139 | + os_queue_listener.start() |
| 140 | +``` |
| 141 | + |
| 142 | +## Clean Up |
| 143 | +Finally, let's clean up by stopping the queue listener: |
| 144 | + |
| 145 | +```python |
| 146 | + print("Cleaning up...") |
| 147 | + # Stop listening on the queue |
| 148 | + os_queue_listener.stop() |
| 149 | + print("Log Collection Guide has completed running") |
| 150 | +``` |
| 151 | + |
| 152 | +## Sample Code |
| 153 | +See [log_collection_sample.py](/samples/logging/log_collection_sample.py) for a working sample of the concepts in this guide. The script will create a logger named "OpenSearchLogs" and set the log level to INFO. It will then create an instance of OpenSearchHandler and add it to the logger. Finally, it will setup asynchronous logging using Queues and send a test log to the OpenSearch cluster. |
| 154 | + |
| 155 | +Exptected Output From Running [log_collection_sample.py](/samples/logging/log_collection_sample.py): |
| 156 | + |
| 157 | +``` |
| 158 | + """ |
| 159 | + Running Log Collection Guide |
| 160 | + Setting up connection with OpenSearch cluster... |
| 161 | + Initializing logger... |
| 162 | + Creating an instance of OpenSearchHandler and adding it to the logger... |
| 163 | + Setting up asynchronous logging using Queues... |
| 164 | + Logger is set up and listener has started. Sending a test log... |
| 165 | + This is a test log message |
| 166 | + Cleaning up... |
| 167 | + Log Collection Guide has completed running |
| 168 | + """ |
| 169 | +``` |
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