Support for Daemon mode for orion

README.md

@@ -1,19 +1,21 @@
 # Orion - CLI tool to find regressions
-Orion stands as a powerful command-line tool designed for identifying regressions within perf-scale CPT runs, leveraging metadata provided during the process. The detection mechanism relies on [hunter](https://github.com/datastax-labs/hunter).
+Orion stands as a powerful command-line tool/daemon designed for identifying regressions within perf-scale CPT runs, leveraging metadata provided during the process. The detection mechanism relies on [hunter](https://github.com/datastax-labs/hunter).
 
 Below is an illustrative example of the config and metadata that Orion can handle:
 
 ```
 tests :
   - name : aws-small-scale-cluster-density-v2
+    index: ospst-perf-scale-ci-*
+    benchmarkIndex: ospst-ripsaw-kube-burner*
     metadata:
       platform: AWS
       masterNodesType: m6a.xlarge
       masterNodesCount: 3
       workerNodesType: m6a.xlarge
       workerNodesCount: 24
       benchmark.keyword: cluster-density-v2
-      ocpVersion: 4.15
+      ocpVersion: {{ version }}
       networkType: OVNKubernetes
     # encrypted: true
     # fips: false
@@ -50,37 +52,40 @@ tests :
       agg:
         value: cpu
         agg_type: avg
-    
-    - name:  etcdDisck
+
+    - name:  etcdDisk
       metricName : 99thEtcdDiskBackendCommitDurationSeconds
       metric_of_interest: value
       agg:
         value: duration
         agg_type: avg
-        
+
 ```
 
 ## Build Orion
 Building Orion is a straightforward process. Follow these commands:
 
 **Note: Orion Compatibility**
 
-Orion currently supports Python versions `3.8.x`, `3.9.x`, `3.10.x`, and `3.11.x`. Please be aware that using other Python versions might lead to dependency conflicts caused by hunter, creating a challenging situation known as "dependency hell." It's crucial to highlight that Python `3.12.x` may result in errors due to the removal of distutils, a dependency used by numpy. This information is essential to ensure a smooth experience with Orion and avoid potential compatibility issues.
+Orion currently supports Python version `3.11.x`. Please be aware that using other Python versions might lead to dependency conflicts caused by hunter, creating a challenging situation known as "dependency hell." It's crucial to highlight that Python `3.12.x` may result in errors due to the removal of distutils, a dependency used by numpy. This information is essential to ensure a smooth experience with Orion and avoid potential compatibility issues.
 
 Clone the current repository using git clone.
 
 ```
 >> git clone <repository_url>
->> pip install venv
+>> python3 -m venv venv
 >> source venv/bin/activate
 >> pip install -r requirements.txt
 >> export ES_SERVER = <es_server_url>
 >> pip install .
 ```
 ## Run Orion
-Executing Orion is as simple as building it. After following the build steps, run the following:
+Executing Orion is as seamless as its building it. With the latest enhancements, Orion introduces a versatile command-line option and a Daemon mode, empowering users to select the mode that aligns perfectly with their requirements.
+
+### Command-line mode
+Running Orion in command-line Mode is straightforward. Simply follow these instructions:
 ```
->> orion
+>> orion cmd --hunter-analyze
 ```
 At the moment, 
 
@@ -92,7 +97,98 @@ Activate Orion's regression detection tool for performance-scale CPT runs effort
 
 Additionally, users can specify a custom path for the output CSV file using the ```--output``` flag, providing control over the location where the generated CSV will be stored.
 
+### Daemon mode
+The core purpose of Daemon mode is to operate Orion as a self-contained server, dedicated to handling incoming requests. By sending a POST request accompanied by a test name of predefined tests, users can trigger change point detection on the provided metadata and metrics. Following the processing, the response is formatted in JSON, providing a structured output for seamless integration and analysis. To trigger daemon mode just use the following commands
+
+```
+>> orion daemon
+```
+**Querying a Test Request to the Daemon Service**
+
+To interact with the Daemon Service, you can send a POST request using `curl` with specific parameters.
+
+*Request URL*
+
+```
+POST http://127.0.0.1:8000/daemon
+```
+
+*Parameters*
+
+- uuid (optional): The uuid of the run you want to compare with similar runs.
+- baseline (optional): The runs you want to compare with.
+- version (optional): The ocpVersion you want to use for metadata defaults to `4.15`
+- filter_changepoints (optional): set to `true` if you only want changepoints to show up in the response
+- test_name (optional): name of the test you want to perform defaults to `small-scale-cluster-density`
+
+
+Example
+```
+curl -L -X POST 'http://127.0.0.1:8000/daemon?filter_changepoints=true&version=4.14&test_name=small-scale-node-density-cni'
+```
+
 
+Below is a sample output structure: the top level of the JSON contains the test name, while within each test, runs are organized into arrays. Each run includes succinct metadata alongside corresponding metrics for comprehensive analysis.
+```
+{
+    "aws-small-scale-cluster-density-v2": [
+        {
+            "uuid": "4cb3efec-609a-4ac5-985d-4cbbcbb11625",
+            "timestamp": 1704889895,
+            "buildUrl": "https://tinyurl.com/2ya4ka9z",
+            "metrics": {
+                "ovnCPU_avg": {
+                    "value": 2.8503958847,
+                    "percentage_change": 0
+                },
+                "apiserverCPU_avg": {
+                    "value": 10.2344511574,
+                    "percentage_change": 0
+                },
+                "etcdCPU_avg": {
+                    "value": 8.7663162253,
+                    "percentage_change": 0
+                },
+                "P99": {
+                    "value": 13000,
+                    "percentage_change": 0
+                }
+            },
+            "is_changepoint": false
+        },
+    ]
+}
+```
+
+
+**Querying List of Tests Available to the Daemon Service**
+
+To list the tests available, you can send a GET request using `curl`. 
+
+*Request URL*
+
+```
+GET http://127.0.0.1:8000/daemon/options
+```
+
+*Request Body*
+
+The request body should contain the file you want to submit for processing. Ensure that the file is in the proper format (e.g., YAML).
+
+Example
+```
+curl -L 'http://127.0.0.1:8000/daemon/options'
+```
+
+Below is a sample output structure: It contains the opinionated approach list of files available
+```
+{
+    "options": [
+        "small-scale-cluster-density",
+        "small-scale-node-density-cni"
+    ]
+}
+```
 
 Orion's seamless integration with metadata and hunter ensures a robust regression detection tool for perf-scale CPT runs.
 
@@ -101,7 +197,9 @@ Orion's seamless integration with metadata and hunter ensures a robust regressio
 
 ```
 tests :
-  - name : current-uuid-etcd-duration
+  - name : aws-small-scale-cluster-density-v2
+    index: ospst-perf-scale-ci-*
+    benchmarkIndex: ospst-ripsaw-kube-burner*
     metrics : 
     - name:  etcdDisck
       metricName : 99thEtcdDiskBackendCommitDurationSeconds
@@ -111,5 +209,7 @@ tests :
         agg_type: avg
 ```
 
-Orion provides flexibility if you know the comparison uuid you want to compare among, use the ```--baseline``` flag. This should only be used in conjunction when setting uuid. Similar to the uuid section mentioned above, you'll have to set a metrics section to specify the data points you want to collect on
+Orion provides flexibility if you know the comparison uuid you want to compare among, use the ```--baseline``` flag. This should only be used in conjunction when setting uuid. Similar to the uuid section mentioned above, you'll have to set a metrics section to specify the data points you want to collect on.
+
+`--uuid` and `--baseline` options are available both in cmd and daemon mode
 

configs/small-scale-cluster-density.yml

@@ -0,0 +1,55 @@
+tests :
+  - name : aws-small-scale-cluster-density-v2
+    index: ospst-perf-scale-ci-*
+    benchmarkIndex: ospst-ripsaw-kube-burner*
+    metadata:
+      platform: AWS
+      masterNodesType: m6a.xlarge
+      masterNodesCount: 3
+      workerNodesType: m6a.xlarge
+      workerNodesCount: 24
+      benchmark.keyword: cluster-density-v2
+      ocpVersion: {{ version }}
+      networkType: OVNKubernetes
+    # encrypted: true
+    # fips: false
+    # ipsec: false
+
+    metrics : 
+    - name:  podReadyLatency
+      metricName: podLatencyQuantilesMeasurement
+      quantileName: Ready
+      metric_of_interest: P99
+      not: 
+        jobConfig.name: "garbage-collection"
+
+    - name:  apiserverCPU
+      metricName : containerCPU
+      labels.namespace.keyword: openshift-kube-apiserver
+      metric_of_interest: value
+      agg:
+        value: cpu
+        agg_type: avg
+
+    - name:  ovnCPU
+      metricName : containerCPU
+      labels.namespace.keyword: openshift-ovn-kubernetes
+      metric_of_interest: value
+      agg:
+        value: cpu
+        agg_type: avg
+
+    - name:  etcdCPU
+      metricName : containerCPU
+      labels.namespace.keyword: openshift-etcd
+      metric_of_interest: value
+      agg:
+        value: cpu
+        agg_type: avg
+
+    - name:  etcdDisk
+      metricName : 99thEtcdDiskBackendCommitDurationSeconds
+      metric_of_interest: value
+      agg:
+        value: duration
+        agg_type: avg

configs/small-scale-node-density-cni.yml

@@ -0,0 +1,58 @@
+tests :
+  - name : aws-small-scale-node-density-cni
+    index: ospst-perf-scale-ci-*
+    benchmarkIndex: ospst-ripsaw-kube-burner*
+    metadata:
+      platform: AWS
+      masterNodesType: m6a.xlarge
+      masterNodesCount: 3
+      workerNodesType: m6a.xlarge
+      workerNodesCount: 6
+      infraNodesCount: 3
+      benchmark.keyword: node-density-cni
+      ocpVersion: {{ version }}
+      networkType: OVNKubernetes
+      infraNodesType: r5.2xlarge
+    # encrypted: true
+    # fips: false
+    # ipsec: false
+
+    metrics : 
+    - name:  podReadyLatency
+      metricName: podLatencyQuantilesMeasurement
+      quantileName: Ready
+      metric_of_interest: P99
+      not: 
+        jobConfig.name: "garbage-collection"
+
+    - name:  apiserverCPU
+      metricName : containerCPU
+      labels.namespace.keyword: openshift-kube-apiserver
+      metric_of_interest: value
+      agg:
+        value: cpu
+        agg_type: avg
+
+    - name:  ovnCPU
+      metricName : containerCPU
+      labels.namespace.keyword: openshift-ovn-kubernetes
+      metric_of_interest: value
+      agg:
+        value: cpu
+        agg_type: avg
+
+    - name:  etcdCPU
+      metricName : containerCPU
+      labels.namespace.keyword: openshift-etcd
+      metric_of_interest: value
+      agg:
+        value: cpu
+        agg_type: avg
+
+    - name:  etcdDisk
+      metricName : 99thEtcdDiskBackendCommitDurationSeconds
+      metric_of_interest: value
+      agg:
+        value: duration
+        agg_type: avg
+

examples/small-scale-node-density-cni.yaml

@@ -10,7 +10,7 @@ tests :
       workerNodesCount: 6
       infraNodesCount: 3
       benchmark.keyword: node-density-cni
-      ocpVersion: 4.15
+      ocpVersion: 4.14
       networkType: OVNKubernetes
       infraNodesType: r5.2xlarge
     # encrypted: true