Open morgante opened 8 months ago
To implement the /stats
endpoint, we will need to add a new route to the Flask application that interacts with the Redis cache to retrieve the number of items stored. The solution involves using the Redis command appropriate for the data structure used to store cache items. The documentation will also be updated to reflect this new endpoint.
In the cookbook/codellama-server/main.py
file, we will:
redis
and dotenv
).dotenv.load_dotenv()
./stats
that handles GET requests and uses the Redis command to retrieve the count of items.Here's the implementation:
from flask import Flask, jsonify
import os
import redis
import dotenv
dotenv.load_dotenv()
app = Flask(__name__)
# Initialize Redis connection
redis_host = os.getenv('REDIS_HOST', 'localhost')
redis_port = int(os.getenv('REDIS_PORT', 6379))
redis_db = int(os.getenv('REDIS_DB', 0))
redis_client = redis.StrictRedis(host=redis_host, port=redis_port, db=redis_db)
@app.route('/stats', methods=['GET'])
def stats():
try:
# Replace 'cache_items' with the actual key used for storing items in Redis
item_count = redis_client.hlen('cache_items')
return jsonify({'item_count': item_count}), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
# ... existing code ...
if __name__ == "__main__":
app.run(host="0.0.0.0", port=4000)
In the docs/my-website/docs/proxy_server.md
file, we will:
/stats
endpoint.Here's the documentation update:
## Statistics Endpoint
The `/stats` endpoint provides insights into the cache performance by reporting the number of items currently stored in the Redis cache. This can help in evaluating the effectiveness of the caching strategy.
### Usage
To retrieve cache statistics, issue a GET request to the `/stats` endpoint:
```shell
curl http://0.0.0.0:4000/stats
You will receive a response in JSON format with the count of items:
{
"item_count": 1234
}
Currently, there is no authentication required to access the /stats
endpoint. This may be subject to change in future releases, so please consult the latest documentation for updates on access control.
Ensure that the new section is added in a logical place within the existing documentation structure and that the formatting is consistent with the rest of the document.
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**Files used for this task:**
<details>
<summary>Changes on cookbook/codellama-server/main.py</summary>
To solve the task of adding a `/stats` endpoint to the Flask application, we need to implement a new route that interacts with the Redis cache to retrieve the count of items stored in it. Here's a practical proposal for how to achieve this:
1. Import the Redis library and initialize a Redis connection using environment variables for the Redis host, port, and any other necessary configuration.
2. Create a new route `/stats` that will handle GET requests.
3. Inside the `/stats` route, use the Redis connection to retrieve the count of items. Redis does not have a direct command to count all items, but if you are using a data structure like a hash, set, or sorted set, you can use the appropriate command (e.g., `HLEN`, `SCARD`, `ZCARD`) to get the count.
4. Return the count as a JSON response.
Here's how the code could look after implementing the above steps:
```python
from flask import Flask, jsonify
from flask_cors import CORS
import os
import redis
import dotenv
dotenv.load_dotenv()
app = Flask(__name__)
CORS(app)
# Initialize Redis connection
redis_host = os.getenv('REDIS_HOST', 'localhost')
redis_port = os.getenv('REDIS_PORT', 6379)
redis_db = os.getenv('REDIS_DB', 0)
redis_client = redis.StrictRedis(host=redis_host, port=redis_port, db=redis_db)
@app.route('/stats', methods=['GET'])
def stats():
try:
# Assuming that the Redis cache stores items in a hash called 'cache_items'
item_count = redis_client.hlen('cache_items')
return jsonify({'item_count': item_count}), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
# ... existing code ...
if __name__ == "__main__":
from waitress import serve
serve(app, host="0.0.0.0", port=4000, threads=500)
Please note that the above code assumes that the Redis cache stores items in a hash named 'cache_items'. You will need to adjust the Redis command (hlen
in this case) and the key name based on how the cache is actually structured in your application.
Also, ensure that the Redis environment variables (REDIS_HOST
, REDIS_PORT
, REDIS_DB
) are set in your .env
file or in your environment before running the application.
Add a
/stats
REST endpoint that explains how many items are currently in the Redis cache.I want to be able to evaluate cache performance.
@autopilot Please do this.