Thanks for following up here, @navya_k. As @dadoonet mentioned, it's easier to keep everything in one thread. I and others from Elastic usually block out some time daily to answer questions, but sometimes, there is some back-and-forth to find a solution.
I had a chance to look at the code you provided and was wondering if something like this would work:
from elasticsearch import Elasticsearch
# Initialize the Elasticsearch client
es = Elasticsearch("https://localhost:9200", api_key="example_api_key")
# Define the index pattern
index_pattern = "test-*"
# Input for the service name
service_name = input("Enter service name: ")
# Define the search query
query = {
"query": {
"bool": {
"must": [
{
"range": {
"@timestamp": {
"gte": "now-1h"
}
}
},
{
"term": {
"service.name": service_name
}
}
]
}
}
}
# Execute the search query
result = es.search(index=index_pattern, body=query)
# Print each hit's source data
print("Search Results:")
for hit in result['hits']['hits']: # Correct the path to hits
print(hit['_source'])
I also had a few follow up questions:
- What is the role of
service_name
in your query?
- What errors are you getting, if any?
- How are you hosting Elasticsearch?
I also wrote a simple script that takes in some sample logs and uploads them to Elasticsearch:
from elasticsearch import Elasticsearch
from getpass import getpass
# Initialize Elasticsearch client
client = Elasticsearch(
getpass("Host: "),
api_key=getpass("Elastic API Key: "),
)
# Uploads logs to a specified Elasticsearch index.
def upload_logs(index_name, logs):
for log in logs:
client.index(index=index_name, document=log)
# Searches logs in a specified Elasticsearch index.
def search_logs(index_name, query):
return client.search(index=index_name, query={"match": query})
# Example usage:
if __name__ == "__main__":
# Define the index name
index_name = "sample_logs"
# Example log entries
logs = [
{"timestamp": "2024-04-23T12:00:00", "level": "INFO", "message": "System start."},
{"timestamp": "2024-04-23T12:05:00", "level": "ERROR", "message": "Failed to connect to database."},
]
# Upload logs
upload_logs(index_name, logs)
# Search logs
search_results = search_logs(index_name, {"message": "database"})
print(search_results)
Thanks again! My coworker @iulia and I also have a repository of Python scripts we use regularly, which could be a helpful resource here.